Sample records for driven treatment decisions

  1. A Decision Fusion Framework for Treatment Recommendation Systems.

    PubMed

    Mei, Jing; Liu, Haifeng; Li, Xiang; Xie, Guotong; Yu, Yiqin

    2015-01-01

    Treatment recommendation is a nontrivial task--it requires not only domain knowledge from evidence-based medicine, but also data insights from descriptive, predictive and prescriptive analysis. A single treatment recommendation system is usually trained or modeled with a limited (size or quality) source. This paper proposes a decision fusion framework, combining both knowledge-driven and data-driven decision engines for treatment recommendation. End users (e.g. using the clinician workstation or mobile apps) could have a comprehensive view of various engines' opinions, as well as the final decision after fusion. For implementation, we leverage several well-known fusion algorithms, such as decision templates and meta classifiers (of logistic and SVM, etc.). Using an outcome-driven evaluation metric, we compare the fusion engine with base engines, and our experimental results show that decision fusion is a promising way towards a more valuable treatment recommendation.

  2. Data-driven Modelling for decision making under uncertainty

    NASA Astrophysics Data System (ADS)

    Angria S, Layla; Dwi Sari, Yunita; Zarlis, Muhammad; Tulus

    2018-01-01

    The rise of the issues with the uncertainty of decision making has become a very warm conversation in operation research. Many models have been presented, one of which is with data-driven modelling (DDM). The purpose of this paper is to extract and recognize patterns in data, and find the best model in decision-making problem under uncertainty by using data-driven modeling approach with linear programming, linear and nonlinear differential equation, bayesian approach. Model criteria tested to determine the smallest error, and it will be the best model that can be used.

  3. Data Driven Decision Making in the Social Studies

    ERIC Educational Resources Information Center

    Ediger, Marlow

    2010-01-01

    Data driven decision making emphasizes the importance of the teacher using objective sources of information in developing the social studies curriculum. Too frequently, decisions of teachers have been made based on routine and outdated methods of teaching. Valid and reliable tests used to secure results from pupil learning make for better…

  4. Bayesian Decision Support for Adaptive Lung Treatments

    NASA Astrophysics Data System (ADS)

    McShan, Daniel; Luo, Yi; Schipper, Matt; TenHaken, Randall

    2014-03-01

    Purpose: A Bayesian Decision Network will be demonstrated to provide clinical decision support for adaptive lung response-driven treatment management based on evidence that physiologic metrics may correlate better with individual patient response than traditional (population-based) dose and volume-based metrics. Further, there is evidence that information obtained during the course of radiation therapy may further improve response predictions. Methods: Clinical factors were gathered for 58 patients including planned mean lung dose, and the bio-markers IL-8 and TGF-β1 obtained prior to treatment and two weeks into treatment along with complication outcomes for these patients. A Bayesian Decision Network was constructed using Netica 5.0.2 from Norsys linking these clinical factors to obtain a prediction of radiation induced lung disese (RILD) complication. A decision node was added to the network to provide a plan adaption recommendation based on the trade-off between the RILD prediction and complexity of replanning. A utility node provides the weighting cost between the competing factors. Results: The decision node predictions were optimized against the data for the 58 cases. With this decision network solution, one can consider the decision result for a new patient with specific findings to obtain a recommendation to adaptively modify the originally planned treatment course. Conclusions: A Bayesian approach allows handling and propagating probabilistic data in a logical and principled manner. Decision networks provide the further ability to provide utility-based trade-offs, reflecting non-medical but practical cost/benefit analysis. The network demonstrated illustrates the basic concept, but many other factors may affect these decisions and work on building better models are being designed and tested. Acknowledgement: Supported by NIH-P01-CA59827

  5. Making Data-Driven Decisions: Silent Reading

    ERIC Educational Resources Information Center

    Trudel, Heidi

    2007-01-01

    Due in part to conflicting opinions and research results, the practice of sustained silent reading (SSR) in schools has been questioned. After a frustrating experience with SSR, the author of this article began a data-driven decision-making process to gain new insights on how to structure silent reading in a classroom, including a comparison…

  6. Visualization-based decision support for value-driven system design

    NASA Astrophysics Data System (ADS)

    Tibor, Elliott

    In the past 50 years, the military, communication, and transportation systems that permeate our world, have grown exponentially in size and complexity. The development and production of these systems has seen ballooning costs and increased risk. This is particularly critical for the aerospace industry. The inability to deal with growing system complexity is a crippling force in the advancement of engineered systems. Value-Driven Design represents a paradigm shift in the field of design engineering that has potential to help counteract this trend. The philosophy of Value-Driven Design places the desires of the stakeholder at the forefront of the design process to capture true preferences and reveal system alternatives that were never previously thought possible. Modern aerospace engineering design problems are large, complex, and involve multiple levels of decision-making. To find the best design, the decision-maker is often required to analyze hundreds or thousands of combinations of design variables and attributes. Visualization can be used to support these decisions, by communicating large amounts of data in a meaningful way. Understanding the design space, the subsystem relationships, and the design uncertainties is vital to the advancement of Value-Driven Design as an accepted process for the development of more effective, efficient, robust, and elegant aerospace systems. This research investigates the use of multi-dimensional data visualization tools to support decision-making under uncertainty during the Value-Driven Design process. A satellite design system comprising a satellite, ground station, and launch vehicle is used to demonstrate effectiveness of new visualization methods to aid in decision support during complex aerospace system design. These methods are used to facilitate the exploration of the feasible design space by representing the value impact of system attribute changes and comparing the results of multi-objective optimization formulations

  7. Clinical decision support of radiotherapy treatment planning: A data-driven machine learning strategy for patient-specific dosimetric decision making.

    PubMed

    Valdes, Gilmer; Simone, Charles B; Chen, Josephine; Lin, Alexander; Yom, Sue S; Pattison, Adam J; Carpenter, Colin M; Solberg, Timothy D

    2017-12-01

    Clinical decision support systems are a growing class of tools with the potential to impact healthcare. This study investigates the construction of a decision support system through which clinicians can efficiently identify which previously approved historical treatment plans are achievable for a new patient to aid in selection of therapy. Treatment data were collected for early-stage lung and postoperative oropharyngeal cancers treated using photon (lung and head and neck) and proton (head and neck) radiotherapy. Machine-learning classifiers were constructed using patient-specific feature-sets and a library of historical plans. Model accuracy was analyzed using learning curves, and historical treatment plan matching was investigated. Learning curves demonstrate that for these datasets, approximately 45, 60, and 30 patients are needed for a sufficiently accurate classification model for radiotherapy for early-stage lung, postoperative oropharyngeal photon, and postoperative oropharyngeal proton, respectively. The resulting classification model provides a database of previously approved treatment plans that are achievable for a new patient. An exemplary case, highlighting tradeoffs between the heart and chest wall dose while holding target dose constant in two historical plans is provided. We report on the first artificial-intelligence based clinical decision support system that connects patients to past discrete treatment plans in radiation oncology and demonstrate for the first time how this tool can enable clinicians to use past decisions to help inform current assessments. Clinicians can be informed of dose tradeoffs between critical structures early in the treatment process, enabling more time spent on finding the optimal course of treatment for individual patients. Copyright © 2017. Published by Elsevier B.V.

  8. Central Office Data-Driven Decision Making in Public Education

    ERIC Educational Resources Information Center

    Scheikl, Oskar F.

    2009-01-01

    Data-driven decision making has become part of the lexicon for educational reform efforts. Supported by the federal No Child Left Behind legislation, the use of data to inform educational decisions has become a common-place practice across the country. Using an online survey administered to central office data leaders in all Virginia public school…

  9. Decisional strategy determines whether frame influences treatment preferences for medical decisions.

    PubMed

    Woodhead, Erin L; Lynch, Elizabeth B; Edelstein, Barry A

    2011-06-01

    Decision makers are influenced by the frame of information such that preferences vary depending on whether survival or mortality data are presented. Research is inconsistent as to whether and how age impacts framing effects. This paper presents two studies that used qualitative analyses of think-aloud protocols to understand how the type of information used in the decision making process varies by frame and age. In Study 1, 40 older adults, age 65 to 89, and 40 younger adults, age 18 to 24, responded to a hypothetical lung cancer scenario in a within-subject design. Participants received both a survival and mortality frame. Qualitative analyses revealed that two main decisional strategies were used by all participants: one strategy reflected a data-driven decisional process, whereas the other reflected an experience-driven process. Age predicted decisional strategy, with older adults less likely to use a data-driven strategy. Frame interacted with strategy to predict treatment choice; only those using a data-driven strategy demonstrated framing effects. In Study 2, 61 older adults, age 65 to 98, and 63 younger adults, age 18 to 30, responded to the same scenarios as in Study 1 in a between-subject design. The results of Study 1 were replicated, with age significantly predicting decisional strategy and frame interacting with strategy to predict treatment choice. Findings suggest that framing effects may be more related to decisional strategy than to age. (c) 2011 APA, all rights reserved.

  10. A Middle School Principal's and Teachers' Perceptions of Leadership Practices in Data-Driven Decision Making

    ERIC Educational Resources Information Center

    Godreau Cimma, Kelly L.

    2011-01-01

    The purpose of this qualitative case study was to describe one Connecticut middle school's voluntary implementation of a data-driven decision making process in order to improve student academic performance. Data-driven decision making is a component of Connecticut's accountability system to assist schools in meeting the requirements of the No…

  11. An integrated, ethically driven environmental model of clinical decision making in emergency settings.

    PubMed

    Wolf, Lisa

    2013-02-01

    To explore the relationship between multiple variables within a model of critical thinking and moral reasoning. A quantitative descriptive correlational design using a purposive sample of 200 emergency nurses. Measured variables were accuracy in clinical decision-making, moral reasoning, perceived care environment, and demographics. Analysis was by bivariate correlation using Pearson's product-moment correlation coefficients, chi square and multiple linear regression analysis. The elements as identified in the integrated ethically-driven environmental model of clinical decision-making (IEDEM-CD) corrected depict moral reasoning and environment of care as factors significantly affecting accuracy in decision-making. The integrated, ethically driven environmental model of clinical decision making is a framework useful for predicting clinical decision making accuracy for emergency nurses in practice, with further implications in education, research and policy. A diagnostic and therapeutic framework for identifying and remediating individual and environmental challenges to accurate clinical decision making. © 2012, The Author. International Journal of Nursing Knowledge © 2012, NANDA International.

  12. Ability Grouping and Differentiated Instruction in an Era of Data-Driven Decision Making

    ERIC Educational Resources Information Center

    Park, Vicki; Datnow, Amanda

    2017-01-01

    Despite data-driven decision making being a ubiquitous part of policy and school reform efforts, little is known about how teachers use data for instructional decision making. Drawing on data from a qualitative case study of four elementary schools, we examine the logic and patterns of teacher decision making about differentiation and ability…

  13. Data to Decisions: Creating a Culture of Model-Driven Drug Discovery.

    PubMed

    Brown, Frank K; Kopti, Farida; Chang, Charlie Zhenyu; Johnson, Scott A; Glick, Meir; Waller, Chris L

    2017-09-01

    Merck & Co., Inc., Kenilworth, NJ, USA, is undergoing a transformation in the way that it prosecutes R&D programs. Through the adoption of a "model-driven" culture, enhanced R&D productivity is anticipated, both in the form of decreased attrition at each stage of the process and by providing a rational framework for understanding and learning from the data generated along the way. This new approach focuses on the concept of a "Design Cycle" that makes use of all the data possible, internally and externally, to drive decision-making. These data can take the form of bioactivity, 3D structures, genomics, pathway, PK/PD, safety data, etc. Synthesis of high-quality data into models utilizing both well-established and cutting-edge methods has been shown to yield high confidence predictions to prioritize decision-making and efficiently reposition resources within R&D. The goal is to design an adaptive research operating plan that uses both modeled data and experiments, rather than just testing, to drive project decision-making. To support this emerging culture, an ambitious information management (IT) program has been initiated to implement a harmonized platform to facilitate the construction of cross-domain workflows to enable data-driven decision-making and the construction and validation of predictive models. These goals are achieved through depositing model-ready data, agile persona-driven access to data, a unified cross-domain predictive model lifecycle management platform, and support for flexible scientist-developed workflows that simplify data manipulation and consume model services. The end-to-end nature of the platform, in turn, not only supports but also drives the culture change by enabling scientists to apply predictive sciences throughout their work and over the lifetime of a project. This shift in mindset for both scientists and IT was driven by an early impactful demonstration of the potential benefits of the platform, in which expert-level early discovery

  14. Examining Data-Driven Decision Making in Private/Religious Schools

    ERIC Educational Resources Information Center

    Hanks, Jason Edward

    2011-01-01

    The purpose of this study was to investigate non-mandated data-driven decision making in private/religious schools. The school culture support of data use, teacher use of data, leader facilitation of using data, and the availability of data were investigated in three schools. A quantitative survey research design was used to explore the research…

  15. Evolution of Patient Decision-Making Regarding Medical Treatment of Rheumatoid Arthritis.

    PubMed

    Mathews, Alexandra L; Coleska, Adriana; Burns, Patricia B; Chung, Kevin C

    2016-03-01

    The migration of health care toward a consumer-driven system favors increased patient participation during the treatment decision-making process. Patient involvement in treatment decision discussions has been linked to increased treatment adherence and patient satisfaction. Previous studies have quantified decision-making styles of patients with rheumatoid arthritis (RA); however, none of them have considered the evolution of patient involvement after living with RA for many years. We conducted a qualitative study to determine the decision-making model used by long-term RA patients, and to describe the changes in their involvement over time. Twenty participants were recruited from the ongoing Silicone Arthroplasty in Rheumatoid Arthritis study. Semistructured interviews were conducted and data were analyzed using grounded theory methodology. Nineteen out of 20 participants recalled using the paternalistic decision-making (PDM) model immediately following their diagnosis. Fourteen of the 19 participants who initially used PDM evolved to shared decision-making (SDM). Participants attributed the change in involvement to the development of a trusting relationship with their physician, as well as to becoming educated about the disease. When initially diagnosed with RA, patients may let their physician decide on the best treatment course. However, over time patients may evolve to exercise a more collaborative role. Physicians should understand that even within SDM, each patient can demonstrate a varied amount of autonomy. It is up to the physician to have a discussion with each patient to determine his or her desired level of involvement. © 2016, American College of Rheumatology.

  16. Data-Driven Decision Making--Not Just a Buzz Word

    ERIC Educational Resources Information Center

    Kadel, Rob

    2010-01-01

    In education, data-driven decision making is a buzz word that has come to mean collecting absolutely as much data as possible on everything from attendance to zero tolerance, and then having absolutely no idea what to do with it. Most educational organizations with a plethora of data usually call in a data miner, or evaluator, to make some sense…

  17. Co-Constructing Distributed Leadership: District and School Connections in Data-Driven Decision-Making

    ERIC Educational Resources Information Center

    Park, Vicki; Datnow, Amanda

    2009-01-01

    The purpose of this paper is to examine leadership practices in school systems that are implementing data-driven decision-making employing the theory of distributed leadership. With the advent of No Child Left Behind Act of 2001 (NCLB) in the US, educational leaders are now required to analyse, interpret and use data to make informed decisions in…

  18. Keys to success for data-driven decision making: Lessons from participatory monitoring and collaborative adaptive management

    USDA-ARS?s Scientific Manuscript database

    Recent years have witnessed a call for evidence-based decisions in conservation and natural resource management, including data-driven decision-making. Adaptive management (AM) is one prevalent model for integrating scientific data into decision-making, yet AM has faced numerous challenges and limit...

  19. Improving Breast Cancer Surgical Treatment Decision Making: The iCanDecide Randomized Clinical Trial.

    PubMed

    Hawley, Sarah T; Li, Yun; An, Lawrence C; Resnicow, Kenneth; Janz, Nancy K; Sabel, Michael S; Ward, Kevin C; Fagerlin, Angela; Morrow, Monica; Jagsi, Reshma; Hofer, Timothy P; Katz, Steven J

    2018-03-01

    Purpose This study was conducted to determine the effect of iCanDecide, an interactive and tailored breast cancer treatment decision tool, on the rate of high-quality patient decisions-both informed and values concordant-regarding locoregional breast cancer treatment and on patient appraisal of decision making. Methods We conducted a randomized clinical trial of newly diagnosed patients with early-stage breast cancer making locoregional treatment decisions. From 22 surgical practices, 537 patients were recruited and randomly assigned online to the iCanDecide interactive and tailored Web site (intervention) or the iCanDecide static Web site (control). Participants completed a baseline survey and were mailed a follow-up survey 4 to 5 weeks after enrollment to assess the primary outcome of a high-quality decision, which consisted of two components, high knowledge and values-concordant treatment, and secondary outcomes (decision preparation, deliberation, and subjective decision quality). Results Patients in the intervention arm had higher odds of making a high-quality decision than did those in the control arm (odds ratio, 2.00; 95% CI, 1.37 to 2.92; P = .0004), which was driven primarily by differences in the rates of high knowledge between groups. The majority of patients in both arms made values-concordant treatment decisions (78.6% in the intervention arm and 81.4% in the control arm). More patients in the intervention arm had high decision preparation (estimate, 0.18; 95% CI, 0.02 to 0.34; P = .027), but there were no significant differences in the other decision appraisal outcomes. The effect of the intervention was similar for women who were leaning strongly toward a treatment option at enrollment compared with those who were not. Conclusion The tailored and interactive iCanDecide Web site, which focused on knowledge building and values clarification, positively affected high-quality decisions largely by improving knowledge compared with static online

  20. Data-Driven Decision Making in Practice: The NCAA Injury Surveillance System

    ERIC Educational Resources Information Center

    Klossner, David; Corlette, Jill; Agel, Julie; Marshall, Stephen W.

    2009-01-01

    Putting data-driven decision making into practice requires the use of consistent and reliable data that are easily accessible. The systematic collection and maintenance of accurate information is an important component in developing policy and evaluating outcomes. Since 1982, the National Collegiate Athletic Association (NCAA) has been collecting…

  1. Clinician and cancer patient views on patient participation in treatment decision-making: a quantitative and qualitative exploration

    PubMed Central

    Pieterse, A H; Baas-Thijssen, M C M; Marijnen, C A M; Stiggelbout, A M

    2008-01-01

    Patient participation in treatment decision-making is being increasingly advocated, although cancer treatments are often guideline-driven. Trade-offs between benefits and side effects underlying guidelines are made by clinicians. Evidence suggests that clinicians are inaccurate at predicting patient values. The aim was to assess what role oncologists and cancer patients prefer in deciding about treatment, and how they view patient participation in treatment decision-making. Seventy disease-free cancer patients and 60 oncologists (surgical, radiation, and medical) were interviewed about their role preferences using the Control Preferences Scale (CPS) and about their views on patient participation using closed- and open-ended questions. Almost all participants preferred treatment decisions to be the outcome of a shared process. Clinicians viewed participation more often as reaching an agreement, whereas 23% of patients defined participation exclusively as being informed. Of the participants, ⩾81% thought not all patients are able to participate and ⩾74% thought clinicians are not always able to weigh the pros and cons of treatment for patients, especially not quality as compared with length of life. Clinicians seemed reluctant to share probability information on the likely impact of adjuvant treatment. Clinicians should acknowledge the legitimacy of patients' values in treatment decisions. Guidelines should recommend elicitation of patient values at specific decision points. PMID:18781148

  2. The Financial and Non-Financial Aspects of Developing a Data-Driven Decision-Making Mindset in an Undergraduate Business Curriculum

    ERIC Educational Resources Information Center

    Bohler, Jeffrey; Krishnamoorthy, Anand; Larson, Benjamin

    2017-01-01

    Making data-driven decisions is becoming more important for organizations faced with confusing and often contradictory information available to them from their operating environment. This article examines one college of business' journey of developing a data-driven decision-making mindset within its undergraduate curriculum. Lessons learned may be…

  3. Balance Sheets Versus Decision Dashboards to Support Patient Treatment Choices: A Comparative Analysis.

    PubMed

    Dolan, James G; Veazie, Peter J

    2015-12-01

    Growing recognition of the importance of involving patients in preference-driven healthcare decisions has highlighted the need to develop practical strategies to implement patient-centered shared decision-making. The use of tabular balance sheets to support clinical decision-making is well established. More recent evidence suggests that graphic, interactive decision dashboards can help people derive deeper a understanding of information within a specific decision context. We therefore conducted a non-randomized trial comparing the effects of adding an interactive dashboard to a static tabular balance sheet on patient decision-making. The study population consisted of members of the ResearchMatch registry who volunteered to participate in a study of medical decision-making. Two separate surveys were conducted: one in the control group and one in the intervention group. All participants were instructed to imagine they were newly diagnosed with a chronic illness and were asked to choose between three hypothetical drug treatments, which varied with regard to effectiveness, side effects, and out-of-pocket cost. Both groups made an initial treatment choice after reviewing a balance sheet. After a brief "washout" period, members of the control group made a second treatment choice after reviewing the balance sheet again, while intervention group members made a second treatment choice after reviewing an interactive decision dashboard containing the same information. After both choices, participants rated their degree of confidence in their choice on a 1 to 10 scale. Members of the dashboard intervention group were more likely to change their choice of preferred drug (10.2 versus 7.5%; p = 0.054) and had a larger increase in decision confidence than the control group (0.67 versus 0.075; p < 0.03). There were no statistically significant between-group differences in decisional conflict or decision aid acceptability. These findings suggest that clinical decision dashboards may

  4. SU-E-J-04: A Data-Driven, Response-Based, Multi-Criteria Decision Support System for Personalized Lung Radiation Treatment Planning

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Luo, Y; McShan, D; Schipper, M

    2014-06-01

    Purpose: To develop a decision support tool to predict a patient's potential overall survival (OS) and radiation induced toxicity (RIT) based on clinical factors and responses during the course of radiotherapy, and suggest appropriate radiation dose adjustments to improve therapeutic effect. Methods: Important relationships between a patient's basic information and their clinical features before and during the radiation treatment are identified from historical clinical data by using statistical learning and data mining approaches. During each treatment period, a data analysis (DA) module predicts radiotherapy features such as time to local progression (TTLP), time to distant metastases (TTDM), radiation toxicity tomore » different organs, etc., under possible future treatment plans based on patient specifics or responses. An information fusion (IF) module estimates intervals for a patient's OS and the probabilities of RIT from a treatment plan by integrating the outcomes of module DA. A decision making (DM) module calculates “satisfaction” with the predicted radiation outcome based on trade-offs between OS and RIT, and finds the best treatment plan for the next time period via multi-criteria optimization. Results: Using physical and biological data from 130 lung cancer patients as our test bed, we were able to train and implement the 3 modules of our decision support tool. Examples demonstrate how it can help predict a new patient's potential OS and RIT with different radiation dose plans along with how these combinations change with dose, thus presenting a range of satisfaction/utility for use in individualized decision support. Conclusion: Although the decision support tool is currently developed from a small patient sample size, it shows the potential for the improvement of each patient's satisfaction in personalized radiation therapy. The radiation treatment outcome prediction and decision making model needs to be evaluated with more patients and

  5. [Treatment Decision-Making Process of Cancer Patients].

    PubMed

    Lee, Shiu-Yu C Katie

    2016-10-01

    The decision-making process that is used by cancer patients to determine their treatment has become more multi-foci, difficult and complicated in recent years. This has in part been attributed to the increasing incidence rate of cancer in Taiwan and the rapid development of medical technologies and treatment modalities. Oncology nurses must assist patients and family to make informed and value-based treatment decisions. Decision-making is an information process that involves appraising one's own expectation and values based on his/her knowledge on cancer and treatment options. Because cancer treatment involves risks and uncertainties, and impacts quality of life, the treatment decision-making for cancer is often stressful, or even conflicting. This paper discusses the decision-making behaviors of cancer patients and the decisional conflict, participation, and informational needs that are involved in cancer treatment. The trend toward shared decision-making and decisional support will be also explored in order to facilitate the future development of appropriate clinical interventions and research.

  6. Knowledge management in healthcare: towards 'knowledge-driven' decision-support services.

    PubMed

    Abidi, S S

    2001-09-01

    In this paper, we highlight the involvement of Knowledge Management in a healthcare enterprise. We argue that the 'knowledge quotient' of a healthcare enterprise can be enhanced by procuring diverse facets of knowledge from the seemingly placid healthcare data repositories, and subsequently operationalising the procured knowledge to derive a suite of Strategic Healthcare Decision-Support Services that can impact strategic decision-making, planning and management of the healthcare enterprise. In this paper, we firstly present a reference Knowledge Management environment-a Healthcare Enterprise Memory-with the functionality to acquire, share and operationalise the various modalities of healthcare knowledge. Next, we present the functional and architectural specification of a Strategic Healthcare Decision-Support Services Info-structure, which effectuates a synergy between knowledge procurement (vis-à-vis Data Mining) and knowledge operationalisation (vis-à-vis Knowledge Management) techniques to generate a suite of strategic knowledge-driven decision-support services. In conclusion, we argue that the proposed Healthcare Enterprise Memory is an attempt to rethink the possible sources of leverage to improve healthcare delivery, hereby providing a valuable strategic planning and management resource to healthcare policy makers.

  7. Informed Decision Making: Assessment of the Quality of Physician Communication about Prostate Cancer Diagnosis and Treatment.

    PubMed

    Holmes-Rovner, Margaret; Montgomery, Jeffrey S; Rovner, David R; Scherer, Laura D; Whitfield, Jesse; Kahn, Valerie C; Merkle, Edgar C; Ubel, Peter A; Fagerlin, Angela

    2015-11-01

    Little is known about how physicians present diagnosis and treatment planning in routine practice in preference-sensitive treatment decisions. We evaluated completeness and quality of informed decision making in localized prostate cancer post biopsy encounters. We analyzed audio-recorded office visits of 252 men with presumed localized prostate cancer (Gleason 6 and Gleason 7 scores) who were seeing 45 physicians at 4 Veterans Affairs Medical Centers. Data were collected between September 2008 and May 2012 in a trial of 2 decision aids (DAs). Braddock's previously validated Informed Decision Making (IDM) system was used to measure quality. Latent variable models for ordinal data examined the relationship of IDM score to treatment received. Mean IDM score showed modest quality (7.61±2.45 out of 18) and high variability. Treatment choice and risks and benefits were discussed in approximately 95% of encounters. However, in more than one-third of encounters, physicians provided a partial set of treatment options and omitted surveillance as a choice. Informing quality was greater in patients treated with surveillance (β = 1.1, p = .04). Gleason score (7 vs 6) and lower age were often cited as reasons to exclude surveillance. Patient preferences were elicited in the majority of cases, but not used to guide treatment planning. Encounter time was modestly correlated with IDM score (r = 0.237, p = .01). DA type was not associated with IDM score. Physicians informed patients of options and risks and benefits, but infrequently engaged patients in core shared decision-making processes. Despite patients having received DAs, physicians rarely provided an opportunity for preference-driven decision making. More attention to the underused patient decision-making and engagement elements could result in improved shared decision making. © The Author(s) 2015.

  8. A communication model of shared decision making: accounting for cancer treatment decisions.

    PubMed

    Siminoff, Laura A; Step, Mary M

    2005-07-01

    The authors present a communication model of shared decision making (CMSDM) that explicitly identifies the communication process as the vehicle for decision making in cancer treatment. In this view, decision making is necessarily a sociocommunicative process whereby people enter into a relationship, exchange information, establish preferences, and choose a course of action. The model derives from contemporary notions of behavioral decision making and ethical conceptions of the doctor-patient relationship. This article briefly reviews the theoretical approaches to decision making, notes deficiencies, and embeds a more socially based process into the dynamics of the physician-patient relationship, focusing on cancer treatment decisions. In the CMSDM, decisions depend on (a) antecedent factors that have potential to influence communication, (b) jointly constructed communication climate, and (c) treatment preferences established by the physician and the patient.

  9. Treatment decisions under ambiguity.

    PubMed

    Berger, Loïc; Bleichrodt, Han; Eeckhoudt, Louis

    2013-05-01

    Many health risks are ambiguous in the sense that reliable and credible information about these risks is unavailable. In health economics, ambiguity is usually handled through sensitivity analysis, which implicitly assumes that people are neutral towards ambiguity. However, empirical evidence suggests that people are averse to ambiguity and react strongly to it. This paper studies the effects of ambiguity aversion on two classical medical decision problems. If there is ambiguity regarding the diagnosis of a patient, ambiguity aversion increases the decision maker's propensity to opt for treatment. On the other hand, in the case of ambiguity regarding the effects of treatment, ambiguity aversion leads to a reduction in the propensity to choose treatment. Copyright © 2013 Elsevier B.V. All rights reserved.

  10. What Is a "Good" Treatment Decision? Decisional Control, Knowledge, Treatment Decision Making, and Quality of Life in Men with Clinically Localized Prostate Cancer.

    PubMed

    Orom, Heather; Biddle, Caitlin; Underwood, Willie; Nelson, Christian J; Homish, D Lynn

    2016-08-01

    We explored whether active patient involvement in decision making and greater patient knowledge are associated with better treatment decision-making experiences and better quality of life (QOL) among men with clinically localized prostate cancer. Localized prostate cancer treatment decision making is an advantageous model for studying patient treatment decision-making dynamics because there are multiple treatment options and a lack of empirical evidence to recommend one over the other; consequently, it is recommended that patients be fully involved in making the decision. Men with newly diagnosed clinically localized prostate cancer (N = 1529) completed measures of decisional control, prostate cancer knowledge, and decision-making experiences (decisional conflict and decision-making satisfaction and difficulty) shortly after they made their treatment decision. Prostate cancer-specific QOL was assessed at 6 months after treatment. More active involvement in decision making and greater knowledge were associated with lower decisional conflict and higher decision-making satisfaction but greater decision-making difficulty. An interaction between decisional control and knowledge revealed that greater knowledge was only associated with greater difficulty for men actively involved in making the decision (67% of sample). Greater knowledge, but not decisional control, predicted better QOL 6 months after treatment. Although men who are actively involved in decision making and more knowledgeable may make more informed decisions, they could benefit from decisional support (e.g., decision-making aids, emotional support from providers, strategies for reducing emotional distress) to make the process easier. Men who were more knowledgeable about prostate cancer and treatment side effects at the time that they made their treatment decision may have appraised their QOL as higher because they had realistic expectations about side effects. © The Author(s) 2016.

  11. Creating a System for Data-Driven Decision-Making: Applying the Principal-Agent Framework

    ERIC Educational Resources Information Center

    Wohlstetter, Priscilla; Datnow, Amanda; Park, Vicki

    2008-01-01

    The purpose of this article is to improve our understanding of data-driven decision-making strategies that are initiated at the district or system level. We apply principal-agent theory to the analysis of qualitative data gathered in a case study of 4 urban school systems. Our findings suggest educators at the school level need not only systemic…

  12. What is a “good” treatment decision?: Decisional control, knowledge, treatment decision-making, and quality of life in men with clinically localized prostate cancer

    PubMed Central

    Orom, Heather; Biddle, Caitlin; Underwood, Willie; Nelson, Christian J.; Homish, D. Lynn

    2016-01-01

    Objective We explored whether active patient involvement in decision making and greater patient knowledge are associated with better treatment decision making experiences and better quality of life (QOL) among men with clinically localized prostate cancer. Localized prostate cancer treatment decision-making is an advantageous model for studying patient treatment decision-making dynamics as there are multiple treatment options and a lack of empirical evidence to recommend one over the other; consequently, it is recommended that patients be fully involved in making the decision. Methods Men with newly diagnosed clinically localized prostate cancer (N=1529) completed measures of decisional control, prostate cancer knowledge, and their decision-making experience (decisional conflict, and decision-making satisfaction and difficulty) shortly after they made their treatment decision. Prostate cancer-specific QOL was assessed 6-months after treatment. Results More active involvement in decision making and greater knowledge were associated with lower decisional conflict and higher decision-making satisfaction, but greater decision-making difficulty. An interaction between decisional control and knowledge revealed that greater knowledge was only associated with greater difficulty for men actively involved in making the decision (67% of sample). Greater knowledge, but not decisional control predicted better QOL 6-months post-treatment. Conclusion Although men who are actively involved in decision making and more knowledgeable may make more informed decisions, they could benefit from decisional support (e.g., decision-making aids, emotional support from providers, strategies for reducing emotional distress) to make the process easier. Men who were more knowledgeable about prostate cancer and treatment side effects at the time they made their treatment decision may have appraised their QOL as higher because they had realistic expectations about side effects. PMID:26957566

  13. Experiencing cancer treatment decision-making in managed care.

    PubMed

    Wenzel, Jennifer; Shaha, Maya

    2008-09-01

    This paper is a report of a study to explore women's perceptions of and experiences with breast cancer treatment decision-making in managed care organizations (MCOs). Managed care organizations are the predominant form of employer-sponsored healthcare insurance in the United States of America. These healthcare financing entities minimize cost by streamlining healthcare delivery and may impose choice restrictions. The extent of these restrictions has not previously been studied from an in-depth patient perspective. A qualitative descriptive approach was adopted using interviews with a purposive sample of 14 managed care enrollees diagnosed with breast cancer at all stages. The data were collected between 2003 and 2005. Data analysis involved a reflexive process of transcript reading, categorization, data reduction and interpretation. The findings are presented as a single theme: 'decisional conflict in managed care', with two distinct categories: decisions regarding (1) the MCOs and (2) treatment. MCO selection was perceived to be limited by employer constraints, cost issues or healthcare plan providers. For study participants, selecting a MCO was less difficult than issues surrounding treatment decision-making. Women reported that their most important treatment-related decisions surrounded diagnosis and involved selecting a treatment facility and provider. Once a satisfactory facility and provider were selected, these women preferred to defer treatment decisions to their healthcare providers. Decision interventions should be focused on assisting women with provider and treatment facility selection early in diagnosis. Our findings might also serve as a basis for policy/practice changes to address healthcare financing limitations and to expand cancer treatment-related choices while providing desired treatment decision-making support.

  14. A Perfect Time for Data Use: Using Data-Driven Decision Making to Inform Practice

    ERIC Educational Resources Information Center

    Mandinach, Ellen B.

    2012-01-01

    Data-driven decision making has become an essential component of educational practice across all levels, from chief state school officers to classroom teachers, and has received unprecedented attention in terms of policy and financial support. It was included as one of the four pillars in the American Recovery and Reinvestment Act (2009),…

  15. Design and Data in Balance: Using Design-Driven Decision Making to Enable Student Success

    ERIC Educational Resources Information Center

    Fairchild, Susan; Farrell, Timothy; Gunton, Brad; Mackinnon, Anne; McNamara, Christina; Trachtman, Roberta

    2014-01-01

    Data-driven approaches to school decision making have come into widespread use in the past decade, nationally and in New York City. New Visions has been at the forefront of those developments: in New Visions schools, teacher teams and school teams regularly examine student performance data to understand patterns and drive classroom- and…

  16. What is known about parents' treatment decisions? A narrative review of pediatric decision making.

    PubMed

    Lipstein, Ellen A; Brinkman, William B; Britto, Maria T

    2012-01-01

    With the increasing complexity of decisions in pediatric medicine, there is a growing need to understand the pediatric decision-making process. To conduct a narrative review of the current research on parent decision making about pediatric treatments and identify areas in need of further investigation. Articles presenting original research on parent decision making were identified from MEDLINE (1966-6/2011), using the terms "decision making," "parent," and "child." We included papers focused on treatment decisions but excluded those focused on information disclosure to children, vaccination, and research participation decisions. We found 55 papers describing 52 distinct studies, the majority being descriptive, qualitative studies of the decision-making process, with very limited assessment of decision outcomes. Although parents' preferences for degree of participation in pediatric decision making vary, most are interested in sharing the decision with the provider. In addition to the provider, parents are influenced in their decision making by changes in their child's health status, other community members, prior knowledge, and personal factors, such as emotions and faith. Parents struggle to balance these influences as well as to know when to include their child in decision making. Current research demonstrates a diversity of influences on parent decision making and parent decision preferences; however, little is known about decision outcomes or interventions to improve outcomes. Further investigation, using prospective methods, is needed in order to understand how to support parents through the difficult treatment decisions.

  17. How should treatment costs impact on physician's decisions?

    PubMed

    Neymark, N

    1999-01-01

    This article first discusses at what level of clinical decision making cost considerations may be most pertinent and important. It is argued that cost assessments will be of most relevance and value at an intermediate level of clinical decision making i.e. at a level where so-called policy decisions are made. These are decisions such as which drugs to include in a hospital formulary or which standard treatment 'protocols' to choose for particular types of patients. The personal encounter between individual patients and physicians will take place within the framework of available treatment options determined by these policy decisions, which must necessarily be based on a prior assessment of the expected costs and benefits of treatments. The article goes on to give a brief introduction to the various methods of economic evaluation that have been developed in order to provide the decision makers with the means to make policy decisions on the basis of the most reliable and pertinent information possible.

  18. Exploring Data-Driven Decision-Making in the Field: How Faculty Use Data and Other Forms of Information to Guide Instructional Decision-Making. WCER Working Paper No. 2014-3

    ERIC Educational Resources Information Center

    Hora, Matthew T.; Bouwma-Gearhart, Jana; Park, Hyoung Joon

    2014-01-01

    A defining characteristic of current U.S. educational policy is the use of data to inform decisions about resource allocation, teacher hiring, and curriculum and instruction. Perhaps the biggest challenge to data-driven decision making (DDDM) is that data use alone does not automatically result in improved teaching and learning. Research indicates…

  19. What Is Known about Parents’ Treatment Decisions? A Narrative Review of Pediatric Decision Making

    PubMed Central

    Lipstein, Ellen A.; Brinkman, William B.; Britto, Maria T.

    2013-01-01

    Background With the increasing complexity of decisions in pediatric medicine, there is a growing need to understand the pediatric decision-making process. Objective To conduct a narrative review of the current research on parent decision making about pediatric treatments and identify areas in need of further investigation. Methods Articles presenting original research on parent decision making were identified from MEDLINE (1966–6/2011), using the terms “decision making,” “parent,” and “child.” We included papers focused on treatment decisions but excluded those focused on information disclosure to children, vaccination, and research participation decisions. Results We found 55 papers describing 52 distinct studies, the majority being descriptive, qualitative studies of the decision-making process, with very limited assessment of decision outcomes. Although parents’ preferences for degree of participation in pediatric decision making vary, most are interested in sharing the decision with the provider. In addition to the provider, parents are influenced in their decision making by changes in their child’s health status, other community members, prior knowledge, and personal factors, such as emotions and faith. Parents struggle to balance these influences as well as to know when to include their child in decision making. Conclusions Current research demonstrates a diversity of influences on parent decision making and parent decision preferences; however, little is known about decision outcomes or interventions to improve outcomes. Further investigation, using prospective methods, is needed in order to understand how to support parents through the difficult treatment decisions. PMID:21969136

  20. Making Decisions about Treatment

    MedlinePlus

    ... advocacy HIV policy HIV prevention CONTRIBUTORS Project Inform Twitter Feed Project Inform ProjectInform ProjectInform #HIV cure : (Let ... February 17, 2011 Making decisions about treatment Facebook Twitter Google + Email Print January 2011Â Â Â View ...

  1. Agile Acceptance Test–Driven Development of Clinical Decision Support Advisories: Feasibility of Using Open Source Software

    PubMed Central

    Baldwin, Krystal L; Kannan, Vaishnavi; Flahaven, Emily L; Parks, Cassandra J; Ott, Jason M; Willett, Duwayne L

    2018-01-01

    Background Moving to electronic health records (EHRs) confers substantial benefits but risks unintended consequences. Modern EHRs consist of complex software code with extensive local configurability options, which can introduce defects. Defects in clinical decision support (CDS) tools are surprisingly common. Feasible approaches to prevent and detect defects in EHR configuration, including CDS tools, are needed. In complex software systems, use of test–driven development and automated regression testing promotes reliability. Test–driven development encourages modular, testable design and expanding regression test coverage. Automated regression test suites improve software quality, providing a “safety net” for future software modifications. Each automated acceptance test serves multiple purposes, as requirements (prior to build), acceptance testing (on completion of build), regression testing (once live), and “living” design documentation. Rapid-cycle development or “agile” methods are being successfully applied to CDS development. The agile practice of automated test–driven development is not widely adopted, perhaps because most EHR software code is vendor-developed. However, key CDS advisory configuration design decisions and rules stored in the EHR may prove amenable to automated testing as “executable requirements.” Objective We aimed to establish feasibility of acceptance test–driven development of clinical decision support advisories in a commonly used EHR, using an open source automated acceptance testing framework (FitNesse). Methods Acceptance tests were initially constructed as spreadsheet tables to facilitate clinical review. Each table specified one aspect of the CDS advisory’s expected behavior. Table contents were then imported into a test suite in FitNesse, which queried the EHR database to automate testing. Tests and corresponding CDS configuration were migrated together from the development environment to production, with

  2. Data-Driven Decision-Making: Facilitating Teacher Use of Student Data to Inform Classroom Instruction

    ERIC Educational Resources Information Center

    Schifter, Catherine C.; Natarajan, Uma; Ketelhut, Diane Jass; Kirchgessner, Amanda

    2014-01-01

    Data-driven decision making is essential in K-12 education today, but teachers often do not know how to make use of extensive data sets. Research shows that teachers are not taught how to use extensive data (i.e., multiple data sets) to reflect on student progress or to differentiate instruction. This paper presents a process used in an National…

  3. Evolution of Pediatric Chronic Disease Treatment Decisions: A Qualitative, Longitudinal View of Parents' Decision-Making Process.

    PubMed

    Lipstein, Ellen A; Britto, Maria T

    2015-08-01

    In the context of pediatric chronic conditions, patients and families are called upon repeatedly to make treatment decisions. However, little is known about how their decision making evolves over time. The objective was to understand parents' processes for treatment decision making in pediatric chronic conditions. We conducted a qualitative, prospective longitudinal study using recorded clinic visits and individual interviews. After consent was obtained from health care providers, parents, and patients, clinic visits during which treatment decisions were expected to be discussed were video-recorded. Parents then participated in sequential telephone interviews about their decision-making experience. Data were coded by 2 people and analyzed using framework analysis with sequential, time-ordered matrices. 21 families, including 29 parents, participated in video-recording and interviews. We found 3 dominant patterns of decision evolution. Each consisted of a series of decision events, including conversations, disease flares, and researching of treatment options. Within all 3 patterns there were both constant and evolving elements of decision making, such as role perceptions and treatment expectations, respectively. After parents made a treatment decision, they immediately turned to the next decision related to the chronic condition, creating an iterative cycle. In this study, decision making was an iterative process occurring in 3 distinct patterns. Understanding these patterns and the varying elements of parents' decision processes is an essential step toward developing interventions that are appropriate to the setting and that capitalize on the skills families may develop as they gain experience with a chronic condition. Future research should also consider the role of children and adolescents in this decision process. © The Author(s) 2015.

  4. Satisfaction with treatment decision-making and treatment regret among Latinas and non-Latina whites with DCIS

    PubMed Central

    López, Mónica E.; Kaplan, Celia P.; Nápoles, Anna M.; Hwang, E. Shelly; Livaudais, Jennifer C.; Karliner, Leah S.

    2013-01-01

    Objective To examine differences in treatment decision-making participation, satisfaction, and regret among Latinas and non-Latina whites with DCIS. Methods Survey of Latina and non-Latina white women diagnosed with DCIS. We assessed women’s preferences for involvement in decision-making, primary treatment decision maker, and participatory decision-making. We examined primary outcomes of satisfaction with treatment decision-making and treatment regret by ethnic-language group. Results Among 745 participants (349 Latinas, 396 white) Spanish-speaking Latinas (SSL) had the highest mean preference for involvement in decision-making score and the lowest mean participatory decision-making score and were more likely to defer their final treatment decision to their physicians than English-speaking Latinas or whites (26%, 13%, 18%, p<.05). SSLs reported lower satisfaction with treatment decision-making (OR 0.4; CI 95%, 0.2-0.8) and expressed more regret than whites (OR 6.2; CI 95%, 3.0-12.4). More participatory decision-making increased the odds of satisfaction (OR 1.5; CI 95%, 1.3-1.8) and decreased the odds of treatment regret (OR 0.8; CI 95%, 0.7-1.0), independent of ethnicity-language. Conclusion Language barriers impede the establishment of decision-making partnerships between Latinas and their physicians, and result in less satisfaction with the decision-making process and more treatment regret. Practice Implications Use of professional interpreters may address communication-related disparities for these women. PMID:24207116

  5. Satisfaction with treatment decision-making and treatment regret among Latinas and non-Latina whites with DCIS.

    PubMed

    López, Mónica E; Kaplan, Celia P; Nápoles, Anna M; Hwang, E Shelley; Livaudais, Jennifer C; Karliner, Leah S

    2014-01-01

    To examine differences in treatment decision-making participation, satisfaction, and regret among Latinas and non-Latina whites with DCIS. Survey of Latina and non-Latina white women diagnosed with DCIS. We assessed women's preferences for involvement in decision-making, primary treatment decision maker, and participatory decision-making. We examined primary outcomes of satisfaction with treatment decision-making and treatment regret by ethnic-language group. Among 745 participants (349 Latinas, 396 white) Spanish-speaking Latinas (SSL) had the highest mean preference for involvement in decision-making score and the lowest mean participatory decision-making score and were more likely to defer their final treatment decision to their physicians than English-speaking Latinas or whites (26%, 13%, 18%, p<0.05). SSLs reported lower satisfaction with treatment decision-making (OR 0.4; CI 95%, 0.2-0.8) and expressed more regret than whites (OR 6.2; CI 95%, 3.0-12.4). More participatory decision-making increased the odds of satisfaction (OR 1.5; CI 95%, 1.3-1.8) and decreased the odds of treatment regret (OR 0.8; CI 95%, 0.7-1.0), independent of ethnicity-language. Language barriers impede the establishment of decision-making partnerships between Latinas and their physicians, and result in less satisfaction with the decision-making process and more treatment regret. Use of professional interpreters may address communication-related disparities for these women. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  6. Teacher Talk about Student Ability and Achievement in the Era of Data-Driven Decision Making

    ERIC Educational Resources Information Center

    Datnow, Amanda; Choi, Bailey; Park, Vicki; St. John, Elise

    2018-01-01

    Background: Data-driven decision making continues to be a common feature of educational reform agendas across the globe. In many U.S. schools, the teacher team meeting is a key setting in which data use is intended to take place, with the aim of planning instruction to address students' needs. However, most prior research has not examined how the…

  7. Agile Acceptance Test-Driven Development of Clinical Decision Support Advisories: Feasibility of Using Open Source Software.

    PubMed

    Basit, Mujeeb A; Baldwin, Krystal L; Kannan, Vaishnavi; Flahaven, Emily L; Parks, Cassandra J; Ott, Jason M; Willett, Duwayne L

    2018-04-13

    Moving to electronic health records (EHRs) confers substantial benefits but risks unintended consequences. Modern EHRs consist of complex software code with extensive local configurability options, which can introduce defects. Defects in clinical decision support (CDS) tools are surprisingly common. Feasible approaches to prevent and detect defects in EHR configuration, including CDS tools, are needed. In complex software systems, use of test-driven development and automated regression testing promotes reliability. Test-driven development encourages modular, testable design and expanding regression test coverage. Automated regression test suites improve software quality, providing a "safety net" for future software modifications. Each automated acceptance test serves multiple purposes, as requirements (prior to build), acceptance testing (on completion of build), regression testing (once live), and "living" design documentation. Rapid-cycle development or "agile" methods are being successfully applied to CDS development. The agile practice of automated test-driven development is not widely adopted, perhaps because most EHR software code is vendor-developed. However, key CDS advisory configuration design decisions and rules stored in the EHR may prove amenable to automated testing as "executable requirements." We aimed to establish feasibility of acceptance test-driven development of clinical decision support advisories in a commonly used EHR, using an open source automated acceptance testing framework (FitNesse). Acceptance tests were initially constructed as spreadsheet tables to facilitate clinical review. Each table specified one aspect of the CDS advisory's expected behavior. Table contents were then imported into a test suite in FitNesse, which queried the EHR database to automate testing. Tests and corresponding CDS configuration were migrated together from the development environment to production, with tests becoming part of the production regression test

  8. Integrating complex business processes for knowledge-driven clinical decision support systems.

    PubMed

    Kamaleswaran, Rishikesan; McGregor, Carolyn

    2012-01-01

    This paper presents in detail the component of the Complex Business Process for Stream Processing framework that is responsible for integrating complex business processes to enable knowledge-driven Clinical Decision Support System (CDSS) recommendations. CDSSs aid the clinician in supporting the care of patients by providing accurate data analysis and evidence-based recommendations. However, the incorporation of a dynamic knowledge-management system that supports the definition and enactment of complex business processes and real-time data streams has not been researched. In this paper we discuss the process web service as an innovative method of providing contextual information to a real-time data stream processing CDSS.

  9. [Treatment regulations and treatment limits: factors influencing clinical decision-making].

    PubMed

    Baberg, H T; Kielstein, R; de Zeeuw, J; Sass, H-M

    2002-08-02

    Providing or withholding of treatment is based on a variety of factors. We sought for criteria in clinical decision making and reviewed attitudes towards clinical intuition and the patient's will. 503 physicians (25.6 % females; mean age 36.3) in 49 departments at nine hospitals of the universities Bochum and Magdeburg filled in a validated questionnaire. The most important factors in the decision to carry out a therapy were "international standards" and "own experience". The decision to omit a therapy was mainly influenced by the "patient's wish". Physicians with a higher status judged their own experience higher than young physicians, who considered the experience of colleagues more important. "Severe accompanying illnesses" and "multimorbidity" were the most frequently named reasons to withdraw a therapy. Intuitive decision-making was rare, especially in young physicians, although these decisions were seldom risky and often successful. A patient's will plays a prominent role in clinical decision making, especially in decisions to withdraw or to withhold treatment. Cost containment and research interest have been called less important, a remarkable response from research-based university hospitals. Also remarkable is the recognition and importance of clinical intuition in situations of complex or missing information. This important aspect is rarely discussed in the literature or in medical education. The widely voiced concern that priorities in clinical care are guided by scientific interest, financial or technical possibilities could not be confirmed.

  10. Identifying the mechanisms through which behavioral weight-loss treatment improves food decision-making in obesity.

    PubMed

    Demos, Kathryn E; McCaffery, Jeanne M; Thomas, J Graham; Mailloux, Kimberly A; Hare, Todd A; Wing, Rena R

    2017-07-01

    Behavioral weight loss (BWL) programs are the recommended treatment for obesity, yet it is unknown whether these programs change one's ability to use self-control in food choices and what specific mechanisms support such change. Using experimental economics methods, we investigated whether changes in dietary behavior in individuals with obesity following BWL are driven by one or more of the following potential mechanisms: changes in the perception of the 1) health or 2) taste of food items, and/or 3) shifting decision weights for health versus taste attributes. Therefore, we compared these mechanisms between obese participants and lifetime normal weight controls (NW) both before and after BWL. Females with obesity (N = 37, mean BMI = 33.2) completed a food choice task involving health ratings, taste ratings, and decision-making pre- and post-standard BWL intervention. NW controls (N = 30, BMI = 22.4) completed the same task. Individuals with obesity exhibited increased self-control (selecting healthier, less tasty food choices) post-treatment. However, their rates of self-control remained significantly lower than NW. We found no differences in initial health perceptions across groups, and no changes with treatment. In contrast, taste ratings and the relative value of taste versus health decreased following treatment. Although, post-treatment participants continued to perceive unhealthy foods as tastier and used less self-control than NW controls, they showed significant improvements in these domains following a BWL intervention. To help individuals improve dietary decisions, additional research is needed to determine how to make greater changes in taste preferences and/or the assignment of value to taste versus health attributes in food choices. Copyright © 2017 Elsevier Ltd. All rights reserved.

  11. How Instructional Coaches Support Data-Driven Decision Making: Policy Implementation and Effects in Florida Middle Schools

    ERIC Educational Resources Information Center

    Marsh, Julie A.; McCombs, Jennifer Sloan; Martorell, Francisco

    2010-01-01

    This article examines the convergence of two popular school improvement policies: instructional coaching and data-driven decision making (DDDM). Drawing on a mixed methods study of a statewide reading coach program in Florida middle schools, the article examines how coaches support DDDM and how this support relates to student and teacher outcomes.…

  12. Unbiased estimation in seamless phase II/III trials with unequal treatment effect variances and hypothesis-driven selection rules.

    PubMed

    Robertson, David S; Prevost, A Toby; Bowden, Jack

    2016-09-30

    Seamless phase II/III clinical trials offer an efficient way to select an experimental treatment and perform confirmatory analysis within a single trial. However, combining the data from both stages in the final analysis can induce bias into the estimates of treatment effects. Methods for bias adjustment developed thus far have made restrictive assumptions about the design and selection rules followed. In order to address these shortcomings, we apply recent methodological advances to derive the uniformly minimum variance conditionally unbiased estimator for two-stage seamless phase II/III trials. Our framework allows for the precision of the treatment arm estimates to take arbitrary values, can be utilised for all treatments that are taken forward to phase III and is applicable when the decision to select or drop treatment arms is driven by a multiplicity-adjusted hypothesis testing procedure. © 2016 The Authors. Statistics in Medicine Published by John Wiley & Sons Ltd. © 2016 The Authors. Statistics in Medicine Published by John Wiley & Sons Ltd.

  13. A Web-Based Treatment Decision Support Tool for Patients With Advanced Knee Arthritis: Evaluation of User Interface and Content Design

    PubMed Central

    Zheng, Hua; Rosal, Milagros C; Li, Wenjun; Borg, Amy; Yang, Wenyun; Ayers, David C

    2018-01-01

    Background Data-driven surgical decisions will ensure proper use and timing of surgical care. We developed a Web-based patient-centered treatment decision and assessment tool to guide treatment decisions among patients with advanced knee osteoarthritis who are considering total knee replacement surgery. Objective The aim of this study was to examine user experience and acceptance of the Web-based treatment decision support tool among older adults. Methods User-centered formative and summative evaluations were conducted for the tool. A sample of 28 patients who were considering total knee replacement participated in the study. Participants’ responses to the user interface design, the clarity of information, as well as usefulness, satisfaction, and acceptance of the tool were collected through qualitative (ie, individual patient interviews) and quantitative (ie, standardized Computer System Usability Questionnaire) methods. Results Participants were older adults with a mean age of 63 (SD 11) years. Three-quarters of them had no technical questions using the tool. User interface design recommendations included larger fonts, bigger buttons, less colors, simpler navigation without extra “next page” click, less mouse movement, and clearer illustrations with simple graphs. Color-coded bar charts and outcome-specific graphs with positive action were easiest for them to understand the outcomes data. Questionnaire data revealed high satisfaction with the tool usefulness and interface quality, and also showed ease of use of the tool, regardless of age or educational status. Conclusions We evaluated the usability of a patient-centered decision support tool designed for advanced knee arthritis patients to facilitate their knee osteoarthritis treatment decision making. The lessons learned can inform other decision support tools to improve interface and content design for older patients’ use. PMID:29712620

  14. Collaborative Data-Driven Decision Making: A Qualitative Study of the Lived Experiences of Primary Grade Classroom Teachers

    ERIC Educational Resources Information Center

    Ralston, Christine R.

    2012-01-01

    The purpose of this qualitative study was to describe the lived experiences of primary classroom teachers participating in collaborative data-driven decision making. Hermeneutic phenomenology served as the theoretical framework. Data were collected by conducting interviews with thirteen classroom teachers who taught in grades kindergarten through…

  15. The limits of parental responsibility regarding medical treatment decisions.

    PubMed

    Woolley, Sarah L

    2011-11-01

    Parental responsibility (PR) was a concept introduced by the Children Act (CA) 1989 which aimed to replace the outdated notion of parental rights and duties which regarded children as parental possessions. Section 3(1) CA 1989 defines PR as 'all the rights, duties, powers, responsibilities and authority which by law a parent of a child has in relation to the child'. In exercising PR, individuals may make medical treatment decisions on children's behalf. Medical decision-making is one area of law where both children and the state can intercede and limit parental decision-making. Competent children can consent to treatment and the state can interfere if parental decisions are not seemingly in the child's 'best interests'. This article examines the concept, and limitations, of PR in relation to medical treatment decision-making.

  16. Treatment decision-making among breast cancer patients in Malaysia.

    PubMed

    Nies, Yong Hui; Islahudin, Farida; Chong, Wei Wen; Abdullah, Norlia; Ismail, Fuad; Ahmad Bustamam, Ros Suzanna; Wong, Yoke Fui; Saladina, J J; Mohamed Shah, Noraida

    2017-01-01

    This study investigated breast cancer patients' involvement level in the treatment decision-making process and the concordance between patients' and physician's perspectives in decision-making. A cross-sectional study was conducted involving physicians and newly diagnosed breast cancer patients from three public/teaching hospitals in Malaysia. The Control Preference Scale (CPS) was administered to patients and physicians, and the Krantz Health Opinion Survey (KHOS) was completed by the patients alone. Binary logistic regression was used to determine the association between sociodemographic characteristics, the patients' involvement in treatment decision-making, and patients' preference for behavioral involvement and information related to their disease. The majority of patients preferred to share decision-making with their physicians (47.5%), while the second largest group preferred being passive (42.6%) and a small number preferred being active (9.8%). However, the physicians perceived that the majority of patients preferred active decision-making (56.9%), followed by those who desired shared decision-making (32.8%), and those who preferred passive decision-making (10.3%). The overall concordance was 26.5% (54 of 204 patient-physician dyads). The median of preference for information score and behavioral involvement score was 4 (interquartile range [IQR] =3-5) and 2 (IQR =2-3), respectively. In univariate analysis, the ethnicity and educational qualification of patients were significantly associated with the patients' preferred role in the process of treatment decision-making and the patients' preference for information seeking ( p >0.05). However, only educational qualification ( p =0.004) was significantly associated with patients' preference for information seeking in multivariate analysis. Physicians failed to understand patients' perspectives and preferences in treatment decision-making. The concordance between physicians' perception and patients' perception

  17. Nordic couples' decision-making processes during assisted reproduction treatments.

    PubMed

    Sol Olafsdottir, Helga; Wikland, Matts; Möller, Anders

    2013-06-01

    To study couples' perceptions of their decision-making process during the first three years of infertility treatments. This study is a part of a larger project studying the decision-making processes of 22 infertile heterosexual couples, recruited from fertility clinics in all five Nordic countries, over a three year period. A descriptive qualitative method was used. Process of decision-making during assisted reproduction treatments. Seventeen couples had succeeded in becoming parents after approximately three years. Our study suggests that the decision-making process during fertility treatments has three phases: (i) recognizing the decisions to be made, with subcategories; the driving force, mutual project, (ii) gathering knowledge and experience about the options, with subcategories; trust, patient competence, personalized support, and (iii) adapting decisions to possible options, with subcategories; strategic planning, adaption. The core category was "maintaining control in a situation of uncertainty." Two parallel processes affect couples' decision-making process, one within themselves and their relationship, and the other in their contact with the fertility clinic. Couples struggle to make decisions, trusting clinic personnel for guidance, knowledge, and understanding. Nevertheless, couples expressed disappointment with the clinics' reactions to their requests for shared decision-making. Copyright © 2013 Elsevier B.V. All rights reserved.

  18. Decision aids for people facing health treatment or screening decisions.

    PubMed

    Stacey, Dawn; Légaré, France; Col, Nananda F; Bennett, Carol L; Barry, Michael J; Eden, Karen B; Holmes-Rovner, Margaret; Llewellyn-Thomas, Hilary; Lyddiatt, Anne; Thomson, Richard; Trevena, Lyndal; Wu, Julie H C

    2014-01-28

    Decision aids are intended to help people participate in decisions that involve weighing the benefits and harms of treatment options often with scientific uncertainty. To assess the effects of decision aids for people facing treatment or screening decisions. For this update, we searched from 2009 to June 2012 in MEDLINE; CENTRAL; EMBASE; PsycINFO; and grey literature. Cumulatively, we have searched each database since its start date including CINAHL (to September 2008). We included published randomized controlled trials of decision aids, which are interventions designed to support patients' decision making by making explicit the decision, providing information about treatment or screening options and their associated outcomes, compared to usual care and/or alternative interventions. We excluded studies of participants making hypothetical decisions. Two review authors independently screened citations for inclusion, extracted data, and assessed risk of bias. The primary outcomes, based on the International Patient Decision Aid Standards (IPDAS), were:A) 'choice made' attributes;B) 'decision-making process' attributes.Secondary outcomes were behavioral, health, and health-system effects. We pooled results using mean differences (MD) and relative risks (RR), applying a random-effects model. This update includes 33 new studies for a total of 115 studies involving 34,444 participants. For risk of bias, selective outcome reporting and blinding of participants and personnel were mostly rated as unclear due to inadequate reporting. Based on 7 items, 8 of 115 studies had high risk of bias for 1 or 2 items each.Of 115 included studies, 88 (76.5%) used at least one of the IPDAS effectiveness criteria: A) 'choice made' attributes criteria: knowledge scores (76 studies); accurate risk perceptions (25 studies); and informed value-based choice (20 studies); and B) 'decision-making process' attributes criteria: feeling informed (34 studies) and feeling clear about values (29

  19. A genetically mediated bias in decision making driven by failure of amygdala control.

    PubMed

    Roiser, Jonathan P; de Martino, Benedetto; Tan, Geoffrey C Y; Kumaran, Dharshan; Seymour, Ben; Wood, Nicholas W; Dolan, Raymond J

    2009-05-06

    Genetic variation at the serotonin transporter-linked polymorphic region (5-HTTLPR) is associated with altered amygdala reactivity and lack of prefrontal regulatory control. Similar regions mediate decision-making biases driven by contextual cues and ambiguity, for example the "framing effect." We hypothesized that individuals hemozygous for the short (s) allele at the 5-HTTLPR would be more susceptible to framing. Participants, selected as homozygous for either the long (la) or s allele, performed a decision-making task where they made choices between receiving an amount of money for certain and taking a gamble. A strong bias was evident toward choosing the certain option when the option was phrased in terms of gains and toward gambling when the decision was phrased in terms of losses (the frame effect). Critically, this bias was significantly greater in the ss group compared with the lala group. In simultaneously acquired functional magnetic resonance imaging data, the ss group showed greater amygdala during choices made in accord, compared with those made counter to the frame, an effect not seen in the lala group. These differences were also mirrored by differences in anterior cingulate-amygdala coupling between the genotype groups during decision making. Specifically, lala participants showed increased coupling during choices made counter to, relative to those made in accord with, the frame, with no such effect evident in ss participants. These data suggest that genetically mediated differences in prefrontal-amygdala interactions underpin interindividual differences in economic decision making.

  20. Factors that Influence Treatment and Non-treatment Decision Making Among Individuals with Inflammatory Bowel Disease: An Integrative Review.

    PubMed

    Kamp, Kendra J; Brittain, Kelly

    2018-06-01

    Inflammatory bowel disease (IBD) is a chronic illness with periods of varying disease activity called flares and remissions. Since IBD impacts quality of life, patients make IBD disease management decisions every day. Previous research indicates limited insight about factors that influence decisions regarding disease management and the types of decisions IBD patients make. The purpose of this integrative review is to identify types of treatment and non-treatment decisions and the factors that influence decision making regarding disease management among individuals with IBD. An integrative literature review was performed based on the Whittemore and Knafl framework. PubMed, Web of Science, and PsychINFO were searched for relevant articles, from 2010-2016, using the key terms: decision making, patient preferences, self-management, self-care, nutrition, diet, stress, symptom, Colitis, Crohns, and IBD. Twenty-eight articles met the inclusion criteria. From these, research showed two types of decisions: treatment decisions related to medication and surgery, and non-treatment decisions focused on diet modification. Five themes that influence decisions were identified: experiencing symptoms, provider recommendations, convenience attributes, psychosocial factors, and informational needs. Most of the studies found a positive relationship between an increased number of symptoms and a patient's willingness to engage in treatment decisions. Although support from providers is highly influential for treatment decisions, most studies reported that provider recommendations did not align with patient preferences. Future work is needed to understand factors that influence decisions among recently diagnosed patients, to focus on non-treatment-related decisions, and to clarify the role of psychosocial factors in promoting disease decision making among IBD patients. This integrative review identified that, for patients, experiencing symptoms is the most important factor that influences

  1. A Web-Based Treatment Decision Support Tool for Patients With Advanced Knee Arthritis: Evaluation of User Interface and Content Design.

    PubMed

    Zheng, Hua; Rosal, Milagros C; Li, Wenjun; Borg, Amy; Yang, Wenyun; Ayers, David C; Franklin, Patricia D

    2018-04-30

    Data-driven surgical decisions will ensure proper use and timing of surgical care. We developed a Web-based patient-centered treatment decision and assessment tool to guide treatment decisions among patients with advanced knee osteoarthritis who are considering total knee replacement surgery. The aim of this study was to examine user experience and acceptance of the Web-based treatment decision support tool among older adults. User-centered formative and summative evaluations were conducted for the tool. A sample of 28 patients who were considering total knee replacement participated in the study. Participants' responses to the user interface design, the clarity of information, as well as usefulness, satisfaction, and acceptance of the tool were collected through qualitative (ie, individual patient interviews) and quantitative (ie, standardized Computer System Usability Questionnaire) methods. Participants were older adults with a mean age of 63 (SD 11) years. Three-quarters of them had no technical questions using the tool. User interface design recommendations included larger fonts, bigger buttons, less colors, simpler navigation without extra "next page" click, less mouse movement, and clearer illustrations with simple graphs. Color-coded bar charts and outcome-specific graphs with positive action were easiest for them to understand the outcomes data. Questionnaire data revealed high satisfaction with the tool usefulness and interface quality, and also showed ease of use of the tool, regardless of age or educational status. We evaluated the usability of a patient-centered decision support tool designed for advanced knee arthritis patients to facilitate their knee osteoarthritis treatment decision making. The lessons learned can inform other decision support tools to improve interface and content design for older patients' use. ©Hua Zheng, Milagros C Rosal, Wenjun Li, Amy Borg, Wenyun Yang, David C Ayers, Patricia D Franklin. Originally published in JMIR Human

  2. Optimizing patient treatment decisions in an era of rapid technological advances: the case of hepatitis C treatment.

    PubMed

    Liu, Shan; Brandeau, Margaret L; Goldhaber-Fiebert, Jeremy D

    2017-03-01

    How long should a patient with a treatable chronic disease wait for more effective treatments before accepting the best available treatment? We develop a framework to guide optimal treatment decisions for a deteriorating chronic disease when treatment technologies are improving over time. We formulate an optimal stopping problem using a discrete-time, finite-horizon Markov decision process. The goal is to maximize a patient's quality-adjusted life expectancy. We derive structural properties of the model and analytically solve a three-period treatment decision problem. We illustrate the model with the example of treatment for chronic hepatitis C virus (HCV). Chronic HCV affects 3-4 million Americans and has been historically difficult to treat, but increasingly effective treatments have been commercialized in the past few years. We show that the optimal treatment decision is more likely to be to accept currently available treatment-despite expectations for future treatment improvement-for patients who have high-risk history, who are older, or who have more comorbidities. Insights from this study can guide HCV treatment decisions for individual patients. More broadly, our model can guide treatment decisions for curable chronic diseases by finding the optimal treatment policy for individual patients in a heterogeneous population.

  3. Ethically problematic treatment decisions: a physician survey.

    PubMed

    Saarni, Samuli I; Parmanne, Piitu; Halila, Ritva

    2008-02-01

    Experiencing ethical problems requires both ethically problematic situations and ethical sensitivity. Ethically problematic treatment decisions are distressing and might reflect health care quality problems. Whether all physicians actually experience ethical problems, what these problems are and how they vary according to physician age, gender and work sector are largely unknown. A mail survey of all non-retired physicians licensed in Finland (n = 17,172, response rate 75.6%). The proportion of physicians reporting having made ethically problematic treatment decisions decreased in linear fashion from 60% at ages below 30 years to 21% at ages over 63 years. The only problem that did not decrease in frequency with age was having withdrawn necessary treatments. Women and primary care physicians reported problematic decisions most often, although gender differences were small. Primary care physicians most often reported having performed too many investigations or having pressured patients, whereas hospital physicians emphasized having withdrawn necessary treatments. Performing unnecessary treatments or investigations was explained by pressure from patients or relatives, and performing too few treatments or investigations was explained by inadequate resources. In general, young physicians felt pressured to do too much, whereas older physicians felt they could not do enough due to inadequate resources. Older physicians might be less exposed to ethically problematic situations, be more able to handle them or have lower ethical sensitivity. Young physicians could benefit from support in resisting pressure to perform unnecessary treatments, whereas older physicians might benefit from training in recognizing ethical issues.

  4. An evaluation of treatment decisions at a colorectal cancer multi-disciplinary team.

    PubMed

    Wood, J J; Metcalfe, C; Paes, A; Sylvester, P; Durdey, P; Thomas, M G; Blazeby, J M

    2008-10-01

    It is mandatory for treatment decisions for patients with colorectal cancer to be made within the context of a multi-disciplinary team (MDT) meeting. It is currently uncertain, however, how to best evaluate the quality of MDT decision-making. This study examined MDT decision-making by studying whether MDT treatment decisions were implemented and investigated the reasons why some decisions changed after the meeting. Consecutive MDT treatment decisions were prospectively recorded. Implementation of decisions was studied by examining hospital records. Reasons for changes in MDT decisions were identified. In all, 201 consecutive treatment decisions were analysed, concerning 157 patients. Twenty decisions (10.0%, 95% confidence interval 6.3-15.2%) were not implemented. Looking at the reasons for nonimplementation, nine (40%) related to co-morbidity, seven (35%) to patient choice, two changed in light of new clinical information, one doctor changed a decision and for one changed decision, no reason was apparent. When decisions changed, the final treatment was always more conservative than was originally planned and decisions were more likely to change for colon rather than rectal cancer (P = 0.024). The vast majority of colorectal MDT decisions were implemented and when decisions changed, it mostly related to patient factors that had not been taken into account. Analysis of the implementation of team decisions is an informative process to monitor the quality of MDT decision-making.

  5. Treatment decision-making processes in the systemic treatment of ovarian cancer: review of the scientific evidence.

    PubMed

    Luketina, Hrvoje; Fotopoulou, Christina; Luketina, Ruzica-Rosalia; Pilger, Adak; Sehouli, Jalid

    2012-09-01

    The systemic treatment of epithelial ovarian cancer (OC) is one of the cornerstones in the multimodal management of advanced OC in both primary and recurrent stages of this disease. In most situations various treatment options are available but only few data exists about the treatment decision-making process. Therefore, we conducted a review of the current literature regarding the decision-making process concerning the systemic therapy in patients with advanced ovarian cancer. The electronic database MEDLINE (PubMed) was systematically reviewed for studies that evaluate the treatment decision-making processes in patients with advanced OC. The PubMed database was searched in detail for all titles and abstracts of potentially relevant studies published between 1995 and 2011. An initial search identified 15 potentially relevant studies, but only seven met all inclusion criteria. Factors that influence treatment decisions in patients with OC include not only rational arguments and medical reasons, but also individual attitudes, fears, existential questions, various projections resulting from the physician patient relationship and the social environment. The physician's personal experience with OC treatment seems to be an important factor, followed by previous personal experience with medical issues, and the fear of side-effects and future metastases. Family and self-support organisations also seem to play a significant role in the treatment decision-making process. This review underlines the need for more research activities to explore the treatment decision-making process to enable the best individual support for patients in treatment decision-making. It is a challenge for clinicians to determine the individual information needs of women with OC and to involve them during the decision-making process to the extent they wish.

  6. Optimizing Patient Treatment Decisions in an Era of Rapid Technological Advances: The Case of Hepatitis C Treatment

    PubMed Central

    Liu, Shan; Goldhaber-Fiebert, Jeremy D.; Brandeau, Margaret L.

    2015-01-01

    How long should a patient with a treatable chronic disease wait for more effective treatments before accepting the best available treatment? We develop a framework to guide optimal treatment decisions for a deteriorating chronic disease when treatment technologies are improving over time. We formulate an optimal stopping problem using a discrete-time, finite-horizon Markov decision process. The goal is to maximize a patient’s quality-adjusted life expectancy. We derive structural properties of the model and analytically solve a three-period treatment decision problem. We illustrate the model with the example of treatment for chronic hepatitis C virus (HCV). Chronic HCV affects 3–4 million Americans and has been historically difficult to treat, but increasingly effective treatments have been commercialized in the past few years. We show that the optimal treatment decision is more likely to be to accept currently available treatment—despite expectations for future treatment improvement—for patients who have high-risk history, who are older, or who have more comorbidities. Insights from this study can guide HCV treatment decisions for individual patients. More broadly, our model can guide treatment decisions for curable chronic diseases by finding the optimal treatment policy for individual patients in a heterogeneous population. PMID:26188961

  7. Qualitative analysis of patient-centered decision attributes associated with initiating hepatitis C treatment.

    PubMed

    Zuchowski, Jessica L; Hamilton, Alison B; Pyne, Jeffrey M; Clark, Jack A; Naik, Aanand D; Smith, Donna L; Kanwal, Fasiha

    2015-10-01

    In this era of a constantly changing landscape of antiviral treatment options for chronic viral hepatitis C (CHC), shared clinical decision-making addresses the need to engage patients in complex treatment decisions. However, little is known about the decision attributes that CHC patients consider when making treatment decisions. We identify key patient-centered decision attributes, and explore relationships among these attributes, to help inform the development of a future CHC shared decision-making aid. Semi-structured qualitative interviews with CHC patients at four Veterans Health Administration (VHA) hospitals, in three comparison groups: contemplating CHC treatment at the time of data collection (Group 1), recently declined CHC treatment (Group 2), or recently started CHC treatment (Group 3). Participant descriptions of decision attributes were analyzed for the entire sample as well as by patient group and by gender. Twenty-nine Veteran patients participated (21 males, eight females): 12 were contemplating treatment, nine had recently declined treatment, and eight had recently started treatment. Patients on average described eight (range 5-13) decision attributes. The attributes most frequently reported overall were: physical side effects (83%); treatment efficacy (79%), new treatment drugs in development (55%); psychological side effects (55%); and condition of the liver (52%), with some variation based on group and gender. Personal life circumstance attributes (such as availability of family support and the burden of financial responsibilities) influencing treatment decisions were also noted by all participants. Multiple decision attributes were interrelated in highly complex ways. Participants considered numerous attributes in their CHC treatment decisions. A better understanding of these attributes that influence patient decision-making is crucial in order to inform patient-centered clinical approaches to care (such as shared decision-making augmented

  8. Older adults newly diagnosed with symptomatic myeloma and treatment decision making.

    PubMed

    Tariman, Joseph D; Doorenbos, Ardith; Schepp, Karen G; Singhal, Seema; Berry, Donna L

    2014-07-01

    To describe the preferences for participation in decision making of older adult patients newly diagnosed with symptomatic myeloma and to explore the association between sociodemographic variables and decisional role preferences. Descriptive, cross-sectional design. Participants' homes and two large academic cancer centers in Seattle, WA, and Chicago, IL. A convenience sample of 20 older adults (60 years of age and older) with symptomatic myeloma diagnosed within the past six months. The Control Preferences Scale was administered followed by an in-person, one-time, semistructured interview. Role preferences for participation in treatment decision making, age, gender, race, work status, personal relationship status, education, and income. Fifty-five percent of the participants preferred a shared role with the physician and 40% preferred to make the decisions after seriously considering the opinion of their physicians. Only one participant preferred to leave the decision to the doctor, as long as the doctor considered the patient's treatment preferences. The study findings indicate that older adults newly diagnosed with myeloma want to participate in treatment decision making. Oncology nurses must respect the patient's desired role preference and oncology clinicians must listen to the patient and allow him or her to be autonomous in making treatment decisions. Nurses and other oncology clinicians can elicit a patient's preferred level of participation in treatment decision making. Oncology nurses can make sure patients receive disease- and treatment-related information, encourage them to express their decisional role preference to the physician, develop a culture of mutual respect and value their desire for autonomy for treatment decision making, acknowledge that the right to make a treatment choice belongs to the patient, and provide support during treatment decision making throughout the care continuum.

  9. CorRECTreatment: A Web-based Decision Support Tool for Rectal Cancer Treatment that Uses the Analytic Hierarchy Process and Decision Tree

    PubMed Central

    Karakülah, G.; Dicle, O.; Sökmen, S.; Çelikoğlu, C.C.

    2015-01-01

    Summary Background The selection of appropriate rectal cancer treatment is a complex multi-criteria decision making process, in which clinical decision support systems might be used to assist and enrich physicians’ decision making. Objective The objective of the study was to develop a web-based clinical decision support tool for physicians in the selection of potentially beneficial treatment options for patients with rectal cancer. Methods The updated decision model contained 8 and 10 criteria in the first and second steps respectively. The decision support model, developed in our previous study by combining the Analytic Hierarchy Process (AHP) method which determines the priority of criteria and decision tree that formed using these priorities, was updated and applied to 388 patients data collected retrospectively. Later, a web-based decision support tool named corRECTreatment was developed. The compatibility of the treatment recommendations by the expert opinion and the decision support tool was examined for its consistency. Two surgeons were requested to recommend a treatment and an overall survival value for the treatment among 20 different cases that we selected and turned into a scenario among the most common and rare treatment options in the patient data set. Results In the AHP analyses of the criteria, it was found that the matrices, generated for both decision steps, were consistent (consistency ratio<0.1). Depending on the decisions of experts, the consistency value for the most frequent cases was found to be 80% for the first decision step and 100% for the second decision step. Similarly, for rare cases consistency was 50% for the first decision step and 80% for the second decision step. Conclusions The decision model and corRECTreatment, developed by applying these on real patient data, are expected to provide potential users with decision support in rectal cancer treatment processes and facilitate them in making projections about treatment options

  10. CorRECTreatment: a web-based decision support tool for rectal cancer treatment that uses the analytic hierarchy process and decision tree.

    PubMed

    Suner, A; Karakülah, G; Dicle, O; Sökmen, S; Çelikoğlu, C C

    2015-01-01

    The selection of appropriate rectal cancer treatment is a complex multi-criteria decision making process, in which clinical decision support systems might be used to assist and enrich physicians' decision making. The objective of the study was to develop a web-based clinical decision support tool for physicians in the selection of potentially beneficial treatment options for patients with rectal cancer. The updated decision model contained 8 and 10 criteria in the first and second steps respectively. The decision support model, developed in our previous study by combining the Analytic Hierarchy Process (AHP) method which determines the priority of criteria and decision tree that formed using these priorities, was updated and applied to 388 patients data collected retrospectively. Later, a web-based decision support tool named corRECTreatment was developed. The compatibility of the treatment recommendations by the expert opinion and the decision support tool was examined for its consistency. Two surgeons were requested to recommend a treatment and an overall survival value for the treatment among 20 different cases that we selected and turned into a scenario among the most common and rare treatment options in the patient data set. In the AHP analyses of the criteria, it was found that the matrices, generated for both decision steps, were consistent (consistency ratio<0.1). Depending on the decisions of experts, the consistency value for the most frequent cases was found to be 80% for the first decision step and 100% for the second decision step. Similarly, for rare cases consistency was 50% for the first decision step and 80% for the second decision step. The decision model and corRECTreatment, developed by applying these on real patient data, are expected to provide potential users with decision support in rectal cancer treatment processes and facilitate them in making projections about treatment options.

  11. [Decisions on limiting treatment in critically-ill neonates: a multicenter study].

    PubMed

    2002-12-01

    Backgrounds Some patients with a poor prognosis cause serious doubts about the real benefit of life-sustaining treatment. In some cases the possibility of limiting those treatments is raised. Such end-of-life decisions provoke ethical dilemmas and questions about procedure.ObjectivesTwo determine the frequency of end-of-life decisions in neonates, patient characteristics, and the criteria used by those taking decisions.Patients and methodsWe performed a multicenter, descriptive, prospective study. Neonates from 15 neonatal intensive care units who died during their stay in the hospital between 1999 and 2000, as well as those in whom end-of-life decisions were taken, were included. End-of-life decisions were defined as clinical decisions to withhold or withdraw life-sustaining treatment.ResultsA total of 330 patients were included. End-of-life decisions were taken in 171 (52 %); of these, 169 (98.8 %) died. The remaining 159 patients (48.2 %) died without treatment limitation. The main disorders involving end-of-life decisions were congenital malformation (47 %), neurologic disorders secondary to perinatal asphyxia and intracranial hemorrhage-periventricular leukomalacia (37 %). Of the 171 neonates, treatment was withheld in 80 and vital support was withdrawn in 91. The most frequently withdrawn life-sustaining treatment was mechanical ventilation (68 %). The criteria most commonly used in end-of-life decisions were poor vital prognosis (79.5 %), and current and future quality of life (37 % and 48 % respectively). The patient's external factors such as unfavorable family environment or possible negative consequences for familial equilibrium were a factor in 5 % of decisions.ConclusionsThe present study, the first of this type performed in Spain, reveals little-known aspects about the clinical practice of withholding and/or withdrawing life-sustaining treatment in critically ill neonates. End-of-life decisions were frequent (52 %) and were followed by death in most

  12. Systematic Review of Decision Aids for Newly Diagnosed Patients with Prostate Cancer Making Treatment Decisions.

    PubMed

    Adsul, Prajakta; Wray, Ricardo; Spradling, Kyle; Darwish, Oussama; Weaver, Nancy; Siddiqui, Sameer

    2015-11-01

    Despite established evidence for using patient decision aids, use with newly diagnosed patients with prostate cancer remains limited partly due to variability in aid characteristics. We systematically reviewed decision aids for newly diagnosed patients with prostate cancer. Published peer reviewed journal articles, unpublished literature on the Internet and the Ottawa decision aids web repository were searched to identify decision aids designed for patients with prostate cancer facing treatment decisions. A total of 14 aids were included in study. Supplementary materials on aid development and published studies evaluating the aids were also included. We studied aids designed to help patients make specific choices among options and outcomes relevant to health status that were specific to prostate cancer treatment and in English only. Aids were reviewed for IPDAS (International Patient Decision Aid Standards) and additional standards deemed relevant to prostate cancer treatment decisions. They were also reviewed for novel criteria on the potential for implementation. Acceptable interrater reliability was achieved at Krippendorff α = 0.82. Eight of the 14 decision aids (57.1%) were developed in the United States, 6 (42.8%) were print based, 5 (35.7%) were web or print based and only 4 (28.5%) had been updated since 2013. Ten aids (71.4%) were targeted to prostate cancer stage. All discussed radiation and surgery, 10 (71.4%) discussed active surveillance and/or watchful waiting and 8 (57.1%) discussed hormonal therapy. Of the aids 64.2% presented balanced perspectives on treatment benefits and risks, and/or outcome probabilities associated with each option. Ten aids (71.4%) presented value clarification prompts for patients and steps to make treatment decisions. No aid was tested with physicians and only 4 (28.6%) were tested with patients. Nine aids (64.2%) provided details on data appraisal and 4 (28.6%) commented on the quality of evidence used. Seven of the 8

  13. Considering patient values and treatment preferences enhances patient involvement in rectal cancer treatment decision making.

    PubMed

    Kunneman, Marleen; Marijnen, Corrie A M; Baas-Thijssen, Monique C M; van der Linden, Yvette M; Rozema, Tom; Muller, Karin; Geijsen, Elisabeth D; Stiggelbout, Anne M; Pieterse, Arwen H

    2015-11-01

    The shared decision making (SDM) model states that patients' values and preferences should be clarified to choose a strategy that best fits the patient. This study aimed to assess whether values and preferences of rectal cancer patients are voiced and considered in deciding about preoperative radiotherapy (PRT), and whether this makes patients feel more involved in treatment decision making. Pre-treatment consultations of radiation oncologists and patients eligible for PRT were audiotaped (N=90). Tapes were transcribed and coded to identify patients' values and treatment preferences. Patients filled in a post-consultation questionnaire on their perceived involvement in decision making (N=60). Patients' values were voiced for 62/611 of benefits/harms addressed (10%), in 38/90 consultations (42%; maximum 4 values per consultation), and most often related to major long-term treatment outcomes. Patients' treatment preferences were discussed in 20/90 consultations (22%). In 16/90 consultations (18%), the oncologists explicitly indicated to consider patients' values or preferences. Patients perceived a significantly more active role in decision making if their values or preferences had been voiced or considered. Patients' values and treatment preferences are voiced or considered in a minority of consultations. If they are, this increases patients' perceived involvement in the decision making process. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  14. Gender Differences in Bladder Cancer Treatment Decision Making.

    PubMed

    Pozzar, Rachel A; Berry, Donna L

    2017-03-01

    To explore gender differences in bladder cancer treatment decision making.
. Secondary qualitative analysis of interview transcripts.
. One multidisciplinary genitourinary oncology clinic (Dana-Farber Cancer Institute) and two urology clinics (Brigham and Women's Hospital and Beth Israel Deaconess Medical Center) in Boston, MA.
. As part of the original study, 45 men and 15 women with bladder cancer participated in individual interviews. Participants were primarily Caucasian, and most had at least some college education.
. Word frequency reports were used to identify thematic differences between the men's and women's statements. Line-by-line coding of constructs prevalent among women was then performed on all participants in NVivo 9. Coding results were compared between genders using matrix coding queries.
. The role of family in the decision-making process was found to be a dominant theme for women but not for men. Women primarily described family members as facilitators of bladder cancer treatment-related decisions, but men were more likely to describe family in a nonsupportive role.
. The results suggest that influences on the decision-making process are different for men and women with bladder cancer. Family may play a particularly important role for women faced with bladder cancer treatment-related decisions.
. Clinical nurses who care for individuals with bladder cancer should routinely assess patients' support systems and desired level of family participation in decision making. For some people with bladder cancer, family may serve as a stressor. Nurses should support the decision-making processes of all patients and be familiar with resources that can provide support to patients who do not receive it from family.

  15. TREATMENT SWITCHING: STATISTICAL AND DECISION-MAKING CHALLENGES AND APPROACHES.

    PubMed

    Latimer, Nicholas R; Henshall, Chris; Siebert, Uwe; Bell, Helen

    2016-01-01

    Treatment switching refers to the situation in a randomized controlled trial where patients switch from their randomly assigned treatment onto an alternative. Often, switching is from the control group onto the experimental treatment. In this instance, a standard intention-to-treat analysis does not identify the true comparative effectiveness of the treatments under investigation. We aim to describe statistical methods for adjusting for treatment switching in a comprehensible way for nonstatisticians, and to summarize views on these methods expressed by stakeholders at the 2014 Adelaide International Workshop on Treatment Switching in Clinical Trials. We describe three statistical methods used to adjust for treatment switching: marginal structural models, two-stage adjustment, and rank preserving structural failure time models. We draw upon discussion heard at the Adelaide International Workshop to explore the views of stakeholders on the acceptability of these methods. Stakeholders noted that adjustment methods are based on assumptions, the validity of which may often be questionable. There was disagreement on the acceptability of adjustment methods, but consensus that when these are used, they should be justified rigorously. The utility of adjustment methods depends upon the decision being made and the processes used by the decision-maker. Treatment switching makes estimating the true comparative effect of a new treatment challenging. However, many decision-makers have reservations with adjustment methods. These, and how they affect the utility of adjustment methods, require further exploration. Further technical work is required to develop adjustment methods to meet real world needs, to enhance their acceptability to decision-makers.

  16. Examining Data Driven Decision Making via Formative Assessment: A Confluence of Technology, Data Interpretation Heuristics and Curricular Policy

    ERIC Educational Resources Information Center

    Swan, Gerry; Mazur, Joan

    2011-01-01

    Although the term data-driven decision making (DDDM) is relatively new (Moss, 2007), the underlying concept of DDDM is not. For example, the practices of formative assessment and computer-managed instruction have historically involved the use of student performance data to guide what happens next in the instructional sequence (Morrison, Kemp, &…

  17. Are mobile health applications useful for supporting shared decision making in diagnostic and treatment decisions?

    PubMed Central

    Abbasgholizadeh Rahimi, Samira; Menear, Matthew; Robitaille, Hubert; Légaré, France

    2017-01-01

    ABSTRACT Mobile health (mHealth) applications intended to support shared decision making in diagnostic and treatment decisions are increasingly available. In this paper, we discuss some recent studies on mHealth applications with relevance to shared decision making. We discuss the potential advantages and disadvantages of using mHealth in shared decision making in various contexts, and suggest some directions for future research in this quickly expanding field. PMID:28838306

  18. Shared decision-making - Rhetoric and reality: Women's experiences and perceptions of adjuvant treatment decision-making for breast cancer.

    PubMed

    Mahmoodi, Neda; Sargeant, Sally

    2017-01-01

    This interview-based study uses phenomenology as a theoretical framework and thematic analysis to challenge existing explanatory frameworks of shared decision-making, in an exploration of women's experiences and perceptions of shared decision-making for adjuvant treatment in breast cancer. Three themes emerged are as follows: (1) women's desire to participate in shared decision-making, (2) the degree to which shared decision-making is perceived to be shared and (3) to what extent are women empowered within shared decision-making. Studying breast cancer patients' subjective experiences of adjuvant treatment decision-making provides a broader perspective on patient participatory role preferences and doctor-patient power dynamics within shared decision-making for breast cancer.

  19. Distributed Cognition in Cancer Treatment Decision Making: An Application of the DECIDE Decision-Making Styles Typology.

    PubMed

    Krieger, Janice L; Krok-Schoen, Jessica L; Dailey, Phokeng M; Palmer-Wackerly, Angela L; Schoenberg, Nancy; Paskett, Electra D; Dignan, Mark

    2017-07-01

    Distributed cognition occurs when cognitive and affective schemas are shared between two or more people during interpersonal discussion. Although extant research focuses on distributed cognition in decision making between health care providers and patients, studies show that caregivers are also highly influential in the treatment decisions of patients. However, there are little empirical data describing how and when families exert influence. The current article addresses this gap by examining decisional support in the context of cancer randomized clinical trial (RCT) decision making. Data are drawn from in-depth interviews with rural, Appalachian cancer patients ( N = 46). Analysis of transcript data yielded empirical support for four distinct models of health decision making. The implications of these findings for developing interventions to improve the quality of treatment decision making and overall well-being are discussed.

  20. Japanese physicians' preferences for decision making in rheumatoid arthritis treatment.

    PubMed

    Aoki, Akiko; Ohbu, Sadayoshi

    2016-01-01

    Rheumatoid arthritis (RA) is a complex chronic illness requiring continued medical care. During the past decade, the therapeutic options for RA have increased significantly; these often have a higher risk of adverse effects and are more expensive than traditional drugs. Rheumatologists may hence face difficulties when deciding on the optimal modality in initiating or changing treatment. The aim of this study was to explore the Japanese physicians' usual style of and preferences for decision making regarding RA treatment. This was a cross-sectional study conducted using an Internet survey. Respondents were asked about their usual style of making treatment decisions (perceived style), and their perception of the importance of physicians' actions and patients' attitudes. Of the 485 physicians who were sent the questionnaire, 157 responded completely (response rate: 32.3%). Ninety-two percent of the respondents were men, and 57% were clinicians with more than 20 years of experience. Their specialties were general medicine (29%), rheumatology (27%), orthopedics (31%), and rehabilitation (12%). Sixty-one (39%) stated that they usually presented multiple treatment options to their patients and selected a decision for them, 42 (27%) shared the decision making with their patients, 34 (22%) let their patients choose the treatment, and 20 (13%) made the treatment decision for the patients. Physicians using the shared decision making (SDM) style desired for their patients to have supportive family and friends, to discuss with nurses, and to follow the doctors' directions more strongly compared with physicians using the other styles. There were no significant differences in sex, duration of clinical experience, major place of clinical work, and number of patients per month by the styles. More number of rheumatologists and physicians with specialist qualifications stated that they practiced SDM. To enhance patient participation, physicians need to recognize the importance of

  1. Are patients' decisions to refuse treatment binding on health care professionals?

    PubMed

    Murphy, Peter

    2005-06-01

    When patients refuse to receive medical treatment, the consequences of honouring their decisions can be tragic. This is no less true of patients who autonomously decide to refuse treatment. I distinguish three possible implications of these autonomous decisions. According to the Permissibility Claim, such a decision implies that it is permissible for the patient who has made the autonomous decision to forego medical treatment. According to the Anti-Paternalism Claim, it follows that health-care professionals are not morally permitted to treat that patient. According to the Binding Claim it follows that these decisions are binding on health-care professionals. My focus is the last claim. After arguing that it is importantly different from each of the first two claims, I give two arguments to show that it is false. One argument against the Binding Claim draws a comparison with cases in which patients autonomously choose perilous positive treatments. The other argument appeals to considered judgments about cases in which disincentives are used to deter patients from refusing sound treatments.

  2. Decision-making Capacity for Treatment of Psychotic Patients on Long Acting Injectable Antipsychotic Treatment.

    PubMed

    Nystazaki, Maria; Pikouli, Katerina; Tsapakis, Eva-Maria; Karanikola, Maria; Ploumpidis, Dimitrios; Alevizopoulos, Giorgos

    2018-04-01

    Providing informed, consent requires patients' Decision-Making Capacity for treatment. We evaluated the Decision Making Capacity of outpatients diagnosed with schizophrenia and schizoaffective disorder on treatment with Long Acting Injectable Antipsychotic medication. This is a retrospective, cross-sectional, correlational study conducted at two Depot Clinics in Athens, Greece. Participants included 65 outpatients diagnosed with schizophrenia and schizoaffective disorder on treatment with Long Acting Injectable Antipsychotics. Over half of the participants showed poor understanding of the information given regarding their disease and treatment (Understanding subscale), however >70% seemed to comprehend the relevance of this information to their medical condition (Appreciation subscale). Moreover, half of the participants reported adequate reasoning ability (Reasoning subscale), whilst patients who gained >7% of their body weight scored statistically significantly higher in the subscales of Understanding and Appreciation. Our results suggest that there is a proportion of patients with significantly diminished Decision Making Capacity, hence a full assessment is recommended in order to track them down. Further research is needed to better interpret the association between antipsychotic induced weight gain and Decision Making Capacity in patients suffering from schizophrenia or schizoaffective disorder. Copyright © 2017 Elsevier Inc. All rights reserved.

  3. Decision support for redesigning wastewater treatment technologies.

    PubMed

    McConville, Jennifer R; Künzle, Rahel; Messmer, Ulrike; Udert, Kai M; Larsen, Tove A

    2014-10-21

    This paper offers a methodology for structuring the design space for innovative process engineering technology development. The methodology is exemplified in the evaluation of a wide variety of treatment technologies for source-separated domestic wastewater within the scope of the Reinvent the Toilet Challenge. It offers a methodology for narrowing down the decision-making field based on a strict interpretation of treatment objectives for undiluted urine and dry feces and macroenvironmental factors (STEEPLED analysis) which influence decision criteria. Such an evaluation identifies promising paths for technology development such as focusing on space-saving processes or the need for more innovation in low-cost, energy-efficient urine treatment methods. Critical macroenvironmental factors, such as housing density, transportation infrastructure, and climate conditions were found to affect technology decisions regarding reactor volume, weight of outputs, energy consumption, atmospheric emissions, investment cost, and net revenue. The analysis also identified a number of qualitative factors that should be carefully weighed when pursuing technology development; such as availability of O&M resources, health and safety goals, and other ethical issues. Use of this methodology allows for coevolution of innovative technology within context constraints; however, for full-scale technology choices in the field, only very mature technologies can be evaluated.

  4. Patients’ priorities for treatment decision making during periods of incapacity: quantitative survey

    PubMed Central

    RID, ANNETTE; WESLEY, ROBERT; PAVLICK, MARK; MAYNARD, SHARON; ROTH, KATALIN; WENDLER, DAVID

    2017-01-01

    Objective Clinical practice aims to respect patient autonomy by basing treatment decisions for incapacitated patients on their own preferences. Yet many patients do not complete an advance directive, and those who do frequently just designate a family member to make decisions for them. This finding raises the concern that clinical practice may be based on a mistaken understanding of patient priorities. The present study aimed to collect systematic data on how patients prioritize the goals of treatment decision making. Method We employed a self-administered, quantitative survey of patients in a tertiary care center. Results Some 80% or more of the 1169 respondents (response rate = 59.8%) ranked six of eight listed goals for treatment decision making as important. When asked which goal was most important, 38.8% identified obtaining desired or avoiding unwanted treatments, 20.0% identified minimizing stress or financial burden on their family, and 14.6% identified having their family help to make treatment decisions. No single goal was designated as most important by 25.0% of participants. Significance of Results Patients endorsed three primary goals with respect to decision making during periods of incapacity: being treated consistent with their own preferences; minimizing the burden on their family; and involving their family in the decision-making process. However, no single goal was prioritized by a clear majority of patients. These findings suggest that advance care planning should not be limited to documenting patients’ treatment preferences. Clinicians should also discuss and document patients’ priorities for how decisions are to be made. Moreover, future research should evaluate ways to modify current practice to promote all three of patients primary goals for treatment decision making. PMID:25273677

  5. Patients' priorities for treatment decision making during periods of incapacity: quantitative survey.

    PubMed

    Rid, Annette; Wesley, Robert; Pavlick, Mark; Maynard, Sharon; Roth, Katalin; Wendler, David

    2015-10-01

    Clinical practice aims to respect patient autonomy by basing treatment decisions for incapacitated patients on their own preferences. Yet many patients do not complete an advance directive, and those who do frequently just designate a family member to make decisions for them. This finding raises the concern that clinical practice may be based on a mistaken understanding of patient priorities. The present study aimed to collect systematic data on how patients prioritize the goals of treatment decision making. We employed a self-administered, quantitative survey of patients in a tertiary care center. Some 80% or more of the 1169 respondents (response rate = 59.8%) ranked six of eight listed goals for treatment decision making as important. When asked which goal was most important, 38.8% identified obtaining desired or avoiding unwanted treatments, 20.0% identified minimizing stress or financial burden on their family, and 14.6% identified having their family help to make treatment decisions. No single goal was designated as most important by 25.0% of participants. Patients endorsed three primary goals with respect to decision making during periods of incapacity: being treated consistent with their own preferences; minimizing the burden on their family; and involving their family in the decision-making process. However, no single goal was prioritized by a clear majority of patients. These findings suggest that advance care planning should not be limited to documenting patients' treatment preferences. Clinicians should also discuss and document patients' priorities for how decisions are to be made. Moreover, future research should evaluate ways to modify current practice to promote all three of patients primary goals for treatment decision making.

  6. Gambling with your life: the process of breast cancer treatment decision making in Chinese women.

    PubMed

    Lam, Wendy Wt; Fielding, Richard; Chan, Miranda; Chow, Louis; Or, Amy

    2005-01-01

    Treatment decision making (TDM) studies have primarily focused on assessing TDM quality and predominantly presume rational analytic processes as the gold standard. In a grounded theory study of 22 Hong Kong Chinese women following breast surgery who completed an in-depth interview exploring the process of TDM in breast cancer (BC), narrative data showed that discovery of a breast abnormality and emotional responses to BC diagnosis influence the TDM process. Lack of guidance from surgeons impaired TDM. Decisions were, for the most part, made using intuitive, pragmatic and emotionally driven criteria in the absence of complete information. The experience of TDM, which was likened to gambling, did not end once the decision was made but unfolded while waiting for surgery and the post-operative report. In this waiting period, women were emotionally overwhelmed by fear of death and the uncertainty of the surgical outcome, and equivocated over whether they had made the 'right' choice. This suggests that Chinese women feel they are gambling with their lives during TDM. These women are particularly emotionally vulnerable whilst waiting for their surgery and the post-surgical clinical pathology results. Providing emotional support is particularly important at this time when these women are overwhelmed by uncertainty. 2004 John Wiley & Sons, Ltd.

  7. Systematic review: the effect on surrogates of making treatment decisions for others.

    PubMed

    Wendler, David; Rid, Annette

    2011-03-01

    Clinical practice relies on surrogates to make or help to make treatment decisions for incapacitated adults; however, the effect of this practice on surrogates has not been evaluated. To assess the effect on surrogates of making treatment decisions for adults who cannot make their own decisions. Empirical studies published in English and listed in MEDLINE, EMBASE, CINAHL, BIOETHICSLINE, PsycINFO, or Scopus before 1 July 2010. Eligible studies provided quantitative or qualitative empirical data, by evaluating surrogates, regarding the effect on surrogates of making treatment decisions for an incapacitated adult. Information on study location, number and type of surrogates, timing of data collection, type of decisions, patient setting, methods, main findings, and limitations. 40 studies, 29 using qualitative and 11 using quantitative methods, provided data on 2854 surrogates, more than one half of whom were family members of the patient. Most surrogates were surveyed several months to years after making treatment decisions, the majority of which were end-of-life decisions. The quantitative studies found that at least one third of surrogates experienced a negative emotional burden as the result of making treatment decisions. The qualitative studies reported that many or most surrogates experienced negative emotional burden. The negative effects on surrogates were often substantial and typically lasted months or, in some cases, years. The most common negative effects cited by surrogates were stress, guilt over the decisions they made, and doubt regarding whether they had made the right decisions. Nine of the 40 studies also reported beneficial effects on a few surrogates, the most common of which were supporting the patient and feeling a sense of satisfaction. Knowing which treatment is consistent with the patient's preferences was frequently cited as reducing the negative effect on surrogates. Thirty-two of the 40 articles reported data collected in the United States

  8. onlineDeCISion.org: a web-based decision aid for DCIS treatment.

    PubMed

    Ozanne, Elissa M; Schneider, Katharine H; Soeteman, Djøra; Stout, Natasha; Schrag, Deborah; Fordis, Michael; Punglia, Rinaa S

    2015-11-01

    Women diagnosed with DCIS face complex treatment decisions and often do so with inaccurate and incomplete understanding of the risks and benefits involved. Our objective was to create a tool to guide these decisions for both providers and patients. We developed a web-based decision aid designed to provide clinicians with tailored information about a patient’s recurrence risks and survival outcomes following different treatment strategies for DCIS. A theoretical framework, microsimulation model (Soeteman et al., J Natl Cancer 105:774–781, 2013) and best practices for web-based decision tools guided the development of the decision aid. The development process used semi-structured interviews and usability testing with key stakeholders, including a diverse group of multidisciplinary clinicians and a patient advocate. We developed onlineDeCISion.​org to include the following features that were rated as important by the stakeholders: (1) descriptions of each of the standard treatment options available; (2) visual projections of the likelihood of time-specific (10-year and lifetime) breast-preservation, recurrence, and survival outcomes; and (3) side-by-side comparisons of down-stream effects of each treatment choice. All clinicians reviewing the decision aid in usability testing were interested in using it in their clinical practice. The decision aid is available in a web-based format and is planned to be publicly available. To improve treatment decision making in patients with DCIS, we have developed a web-based decision aid onlineDeCISion.​org that conforms to best practices and that clinicians are interested in using in their clinics with patients to better inform treatment decisions.

  9. Development of an evidence-based decision pathway for vestibular schwannoma treatment options.

    PubMed

    Linkov, Faina; Valappil, Benita; McAfee, Jacob; Goughnour, Sharon L; Hildrew, Douglas M; McCall, Andrew A; Linkov, Igor; Hirsch, Barry; Snyderman, Carl

    To integrate multiple sources of clinical information with patient feedback to build evidence-based decision support model to facilitate treatment selection for patients suffering from vestibular schwannomas (VS). This was a mixed methods study utilizing focus group and survey methodology to solicit feedback on factors important for making treatment decisions among patients. Two 90-minute focus groups were conducted by an experienced facilitator. Previously diagnosed VS patients were recruited by clinical investigators at the University of Pittsburgh Medical Center (UPMC). Classical content analysis was used for focus group data analysis. Providers were recruited from practices within the UPMC system and were surveyed using Delphi methods. This information can provide a basis for multi-criteria decision analysis (MCDA) framework to develop a treatment decision support system for patients with VS. Eight themes were derived from these data (focus group + surveys): doctor/health care system, side effects, effectiveness of treatment, anxiety, mortality, family/other people, quality of life, and post-operative symptoms. These data, as well as feedback from physicians were utilized in building a multi-criteria decision model. The study illustrated steps involved in the development of a decision support model that integrates evidence-based data and patient values to select treatment alternatives. Studies focusing on the actual development of the decision support technology for this group of patients are needed, as decisions are highly multifactorial. Such tools have the potential to improve decision making for complex medical problems with alternate treatment pathways. Copyright © 2016 Elsevier Inc. All rights reserved.

  10. Why older adults make more immediate treatment decisions about cancer than younger adults.

    PubMed

    Meyer, Bonnie J F; Talbot, Andrew P; Ranalli, Carlee

    2007-09-01

    Literature relevant to medical decision making was reviewed, and a model was outlined for testing. Two studies examined whether older adults make more immediate decisions than younger adults about treatments for prostate or breast cancer in authentic scenarios. Findings clearly showed that older adults were more likely to make immediate decisions than younger adults. The research is important because it not only demonstrates the consistency of this age-related effect across disease domains, gender, ethnic groups, and prevalent education levels but begins to investigate a model to explain the effect. Major reasons for the effect focus on treatment knowledge, interest and engagement, and cognitive resources. Treatment knowledge, general cancer knowledge, interest, and cognitive resources relate to different ways of processing treatment information and preferences for immediate versus delayed decision making. Adults with high knowledge of treatments on a reliable test tended to make immediate treatment decisions, which supports the knowledge explanation. Adults with more cognitive resources and more interest tended to delay their treatment decisions. Little support was found for a cohort explanation for the relationship between age and preference for immediate medical decision making. (PsycINFO Database Record (c) 2007 APA, all rights reserved).

  11. Exploration of how women make treatment decisions after a breast cancer diagnosis.

    PubMed

    Spittler, Cheryl A; Pallikathayil, Leonie; Bott, Marjorie

    2012-09-01

    To examine the information needs of women after receiving a diagnosis of breast cancer, investigate how decisions about treatment options are made, and assess personal responses to the decisions made. Mixed-methods approach using quantitative and qualitative data. The University of Kansas Medical Center and Quinn Plastic Surgery Center, both in the midwestern United States. 102 breast cancer survivors who had completed all forms of treatment for at least three months and less than five years. Phase I participants completed five questionnaires about informational needs, confidence and satisfaction with the decision, decisional regret, and conflict. In phase II, 15 participants were purposively sampled from the 102 survivors to participate in a focus group session. Data analysis included frequencies and multiple regression for phase I and qualitative content analysis for phase II. Informational needs, confidence and satisfaction with the decision, and decisional regret and conflict. The variables (widowed, confidence and satisfaction with decision, and decisional conflict and regret) significantly (p = 0.01) accounted for 14% of the variance in informational needs. Two themes emerged from the study: (a) feelings, thoughts, and essential factors that impact treatment considerations, and (b) tips for enhancing treatment consideration options. The study's results show that women viewed informational needs as very important in making treatment decisions after being diagnosed with breast cancer. The treatment team should provide the information, with consideration of the patient's personal preferences, that will assist women to make informed, confident, and satisfied decisions about treatment choices.

  12. Factors influencing parental decision making about stimulant treatment for attention-deficit/hyperactivity disorder.

    PubMed

    Ahmed, Rana; McCaffery, Kirsten J; Aslani, Parisa

    2013-04-01

    Attention-deficit/hyperactivity disorder (ADHD) is a pediatric psychological condition commonly treated with stimulant medications. Negative media reports and stigmatizing societal attitudes surrounding the use of these medications make it difficult for parents of affected children to accept stimulant treatment, despite it being first line therapy. The purpose of this study was to identify factors that influence parental decision making regarding stimulant treatment for ADHD. A systematic review of the literature was conducted to identify studies: 1) that employed qualitative methodology, 2) that highlighted treatment decision(s) about stimulant medication, 3) in which the decision(s) were made by the parent of a child with an official ADHD diagnosis, and 4) that examined the factors affecting the decision(s) made. Individual factors influencing parental treatment decision making, and the major themes encompassing these factors, were identified and followed by a thematic analysis. Eleven studies reporting on the experiences of 335 parents of children with ADHD were included. Four major themes encompassing influences on parents' decisions were derived from the thematic analysis performed: confronting the diagnosis, external influences, apprehension regarding therapy, and experience with the healthcare system. The findings of this systematic review reveal that there are multiple factors that influence parents' decisions about stimulant therapy. This information can assist clinicians in enhancing information delivery to parents of children with ADHD, and help reduce parental ambivalence surrounding stimulant medication use. Future work needs to address parental concerns about stimulants, and increase their involvement in shared decision making with clinicians to empower them to make the most appropriate treatment decision for their child.

  13. Cultural influences on the physician-patient encounter: The case of shared treatment decision-making.

    PubMed

    Charles, Cathy; Gafni, Amiram; Whelan, Tim; O'Brien, Mary Ann

    2006-11-01

    In this paper we discuss the influence of culture on the process of treatment decision-making, and in particular, shared treatment decision-making in the physician-patient encounter. We explore two key issues: (1) the meaning of culture and the ways that it can affect treatment decision-making; (2) cultural issues and assumptions underlying the development and use of treatment decision aids. This is a conceptual paper. Based on our knowledge and reading of the key literature in the treatment decision-making field, we looked for written examples where cultural influences were taken into account when discussing the physician-patient encounter and when designing instruments (decision aids) to help patients participate in making decisions. Our assessment of the situation is that to date, and with some recent exceptions, research in the above areas has not been culturally sensitive. We suggest that more research attention should be focused on exploring potential cultural variations in the meaning of and preferences for shared decision-making as well as on the applicability across cultural groups of decision aids developed to facilitate patient participation in treatment decision-making with physicians. Both patients and physicians need to be aware of the cultural assumptions underlying the development and use of decision aids and assess their cultural sensitivity to the needs and preferences of patients in diverse cultural groups.

  14. A novel four-wire-driven robotic catheter for radio-frequency ablation treatment.

    PubMed

    Yoshimitsu, Kitaro; Kato, Takahisa; Song, Sang-Eun; Hata, Nobuhiko

    2014-09-01

       Robotic catheters have been proposed to increase the efficacy and safety of the radio-frequency ablation treatment. The robotized motion of current robotic catheters mimics the motion of manual ones-namely, deflection in one direction and rotation around the catheter. With the expectation that the higher dexterity may achieve further efficacy and safety of the robotically driven treatment, we prototyped a four-wire-driven robotic catheter with the ability to deflect in two- degree-of-freedom motions in addition to rotation.    A novel quad-directional structure with two wires was designed and developed to attain yaw and pitch motion in the robotic catheter. We performed a mechanical evaluation of the bendability and maneuverability of the robotic catheter and compared it with current manual catheters.    We found that the four-wire-driven robotic catheter can achieve a pitching angle of 184.7[Formula: see text] at a pulling distance of wire for 11 mm, while the yawing angle was 170.4[Formula: see text] at 11 mm. The robotic catheter could attain the simultaneous two- degree-of-freedom motions in a simulated cardiac chamber.    The results indicate that the four-wire-driven robotic catheter may offer physicians the opportunity to intuitively control a catheter and smoothly approach the focus position that they aim to ablate.

  15. Cost-effectiveness in Clostridium difficile treatment decision-making

    PubMed Central

    Nuijten, Mark JC; Keller, Josbert J; Visser, Caroline E; Redekop, Ken; Claassen, Eric; Speelman, Peter; Pronk, Marja H

    2015-01-01

    AIM: To develop a framework for the clinical and health economic assessment for management of Clostridium difficile infection (CDI). METHODS: CDI has vast economic consequences emphasizing the need for innovative and cost effective solutions, which were aim of this study. A guidance model was developed for coverage decisions and guideline development in CDI. The model included pharmacotherapy with oral metronidazole or oral vancomycin, which is the mainstay for pharmacological treatment of CDI and is recommended by most treatment guidelines. RESULTS: A design for a patient-based cost-effectiveness model was developed, which can be used to estimate the cost-effectiveness of current and future treatment strategies in CDI. Patient-based outcomes were extrapolated to the population by including factors like, e.g., person-to-person transmission, isolation precautions and closing and cleaning wards of hospitals. CONCLUSION: The proposed framework for a population-based CDI model may be used for clinical and health economic assessments of CDI guidelines and coverage decisions for emerging treatments for CDI. PMID:26601096

  16. Cost-effectiveness in Clostridium difficile treatment decision-making.

    PubMed

    Nuijten, Mark Jc; Keller, Josbert J; Visser, Caroline E; Redekop, Ken; Claassen, Eric; Speelman, Peter; Pronk, Marja H

    2015-11-16

    To develop a framework for the clinical and health economic assessment for management of Clostridium difficile infection (CDI). CDI has vast economic consequences emphasizing the need for innovative and cost effective solutions, which were aim of this study. A guidance model was developed for coverage decisions and guideline development in CDI. The model included pharmacotherapy with oral metronidazole or oral vancomycin, which is the mainstay for pharmacological treatment of CDI and is recommended by most treatment guidelines. A design for a patient-based cost-effectiveness model was developed, which can be used to estimate the cost-effectiveness of current and future treatment strategies in CDI. Patient-based outcomes were extrapolated to the population by including factors like, e.g., person-to-person transmission, isolation precautions and closing and cleaning wards of hospitals. The proposed framework for a population-based CDI model may be used for clinical and health economic assessments of CDI guidelines and coverage decisions for emerging treatments for CDI.

  17. Racial and ethnic variation in partner perspectives about the breast cancer treatment decision-making experience.

    PubMed

    Lillie, Sarah E; Janz, Nancy K; Friese, Christopher R; Graff, John J; Schwartz, Kendra; Hamilton, Ann S; Gay, Brittany Bartol; Katz, Steven J; Hawley, Sarah T

    2014-01-01

    To characterize the perspectives of partners (husbands or significant others) of patients with breast cancer in the treatment decision-making process and to evaluate racial and ethnic differences in decision outcomes. A cross-sectional survey. Los Angeles, CA, and Detroit, MI. 517 partners of a population-based sample of patients with breast cancer four years post-treatment. A self-administered mailed questionnaire. Chi-square tests and logistic regression were used to assess associations between race and ethnicity and decision outcomes. Decision regret and three elements of the decision process: information received, actual involvement, and desired involvement. Most partners reported receiving sufficient information (77%), being involved in treatment decisions (74%), and having sufficient involvement (73%). Less-acculturated Hispanic partners were more likely than their Caucasian counterparts to report high decision regret (45% versus 14%, p<0.001). Factors significantly associated (p<0.05) with high decision regret were insufficient receipt of treatment information, low involvement in decision making, and a desire for more involvement. Partners were generally positive regarding their perspectives about participating in the breast cancer treatment decision-making process. However, less acculturated Hispanic partners were most vulnerable to decision regret. In addition, high decision regret was associated with modifiable elements of the decision-making process. Attention should be paid to ensuring racial and ethnic minority partners are sufficiently involved in breast cancer treatment decisions and receive decision support.

  18. Development of a decision aid for children faced with the decision to undergo dental treatment with sedation or general anaesthesia.

    PubMed

    Hulin, Joe; Baker, Sarah R; Marshman, Zoe; Albadri, Sondos; Rodd, Helen D

    2017-09-01

    Decision aids are tools used to help individuals faced with difficult healthcare decisions. They help patients further understand the treatment options available and encourage the sharing of information between patients and clinicians. To develop a decision aid for young patients faced with the decision to undergo dental treatment with inhalation sedation, intravenous sedation, or general anaesthesia (GA). Qualitative interviews with dental patients (aged 10-16 years), and their parents/guardians were used to inform the content of a draft decision aid. Following further revisions, a pilot evaluation of the decision aid was conducted. Patients referred for dental treatment with sedation or GA were recruited from a UK dental hospital. Patients (n = 15) and parents/guardians (n = 13) assigned to the intervention group received the decision aid and routine clinical counselling, whereas patients (n = 17) and parents/guardians (n = 13) in the control group only received routine clinical counselling. Participants completed measures of knowledge, decisional conflict, and dental anxiety. Knowledge scores were significantly higher for participants who received the decision aid when compared to standard care. There were no other significant differences between groups. A decision aid was successfully developed, and initial findings suggest such tools could be beneficial to dental sedation or GA patients and their parents/guardians. Further research is required on the use of such tools in primary care settings, with particular attention to the impact of the decision aid on attendance and completion rates of treatment. © 2016 BSPD, IAPD and John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  19. Treatment preferences and involvement in treatment decision making of patients with endometrial cancer and clinicians.

    PubMed

    Kunneman, M; Pieterse, A H; Stiggelbout, A M; Nout, R A; Kamps, M; Lutgens, L C H W; Paulissen, J; Mattheussens, O J A; Kruitwagen, R F P M; Creutzberg, C L

    2014-08-12

    Vaginal brachytherapy (VBT) in high-intermediate-risk endometrial cancer (EC) provides a significant reduction in the risk of local cancer recurrence, but without survival benefit and with increased mucosal atrophy. Five-year local control is estimated to be similar for VBT and a watchful waiting policy (WWP), in which patients receive VBT combined with external radiation in case of a recurrence. Our aim was to assess treatment preferences of EC patients and clinicians regarding VBT and WWP, and to evaluate their preferred and perceived involvement in treatment decision making. Interviews were held with 95 treated EC patients. The treatment trade-off method was used to assess the minimally desired benefit from VBT in local control. Patients' preferred and perceived involvement in decision making were assessed using a questionnaire. Seventy-seven clinicians completed a questionnaire assessing their minimally desired benefit and preferred involvement in decision making. Minimally desired benefit of VBT was significantly lower for patients than for clinicians (median=0 vs 8%, P<0.001), for irradiated than for non-irradiated patients (median=0 vs 6.5%, P<0.001), and for radiation oncologists than for gynaecologists (median=4 vs 13%, P<0.001). Substantial variation existed within the groups of patients and clinicians. Participants preferred the patient and clinician to share in the decision about VBT. However, irradiated patients indicated low perceived involvement in actual treatment decision making. We found variations between and within patients and clinicians in minimally desired benefit from VBT. However, the recurrence risk at which patients preferred VBT was low. Our results showed that patients consider active participation in decision making essential.

  20. Treatment preferences and involvement in treatment decision making of patients with endometrial cancer and clinicians

    PubMed Central

    Kunneman, M; Pieterse, A H; Stiggelbout, A M; Nout, R A; Kamps, M; Lutgens, L C H W; Paulissen, J; Mattheussens, O J A; Kruitwagen, R F P M; Creutzberg, C L

    2014-01-01

    Background: Vaginal brachytherapy (VBT) in high–intermediate-risk endometrial cancer (EC) provides a significant reduction in the risk of local cancer recurrence, but without survival benefit and with increased mucosal atrophy. Five-year local control is estimated to be similar for VBT and a watchful waiting policy (WWP), in which patients receive VBT combined with external radiation in case of a recurrence. Our aim was to assess treatment preferences of EC patients and clinicians regarding VBT and WWP, and to evaluate their preferred and perceived involvement in treatment decision making. Methods: Interviews were held with 95 treated EC patients. The treatment trade-off method was used to assess the minimally desired benefit from VBT in local control. Patients' preferred and perceived involvement in decision making were assessed using a questionnaire. Seventy-seven clinicians completed a questionnaire assessing their minimally desired benefit and preferred involvement in decision making. Results: Minimally desired benefit of VBT was significantly lower for patients than for clinicians (median=0 vs 8%, P<0.001), for irradiated than for non-irradiated patients (median=0 vs 6.5%, P<0.001), and for radiation oncologists than for gynaecologists (median=4 vs 13%, P<0.001). Substantial variation existed within the groups of patients and clinicians. Participants preferred the patient and clinician to share in the decision about VBT. However, irradiated patients indicated low perceived involvement in actual treatment decision making. Conclusions: We found variations between and within patients and clinicians in minimally desired benefit from VBT. However, the recurrence risk at which patients preferred VBT was low. Our results showed that patients consider active participation in decision making essential. PMID:24921911

  1. Redefining self: patients' decision making about treatment for multiple sclerosis.

    PubMed

    Lowden, Diane; Lee, Virginia; Ritchie, Judith A

    2014-08-01

    The treatment of multiple sclerosis (MS) has become possible with the advent of disease-modifying therapies, but little is known about patients' experiences when faced with a complex array of treatment options. The purpose of this phenomenological study was to explore the lived experience of making a first decision about treatment with disease-modifying therapies for relapsing-remitting MS. Nine participants shared their perspectives on negotiating the decision to accept, refuse, or delay treatment. All individuals described a core theme in which decision making about treatment was part of a process of coming to a "redefined self." This core theme included reflections about self-image, quality of life, goals, and being a person with MS. Six common themes supporting this core theme were (a) weighing and deciding what's important, (b) acknowledging the illness as part of oneself, (c) playing the mental game, (d) seeking credible resources, (e) evaluating symptoms and fit with quality of life, and (f) managing the roles and involvement of family. The findings of this study provide a greater understanding about the experience of making a therapeutic choice for those with MS and offer insights for nurses when supporting patients faced with options about treatment.

  2. Perturbations in Effort-Related Decision-Making Driven by Acute Stress and Corticotropin-Releasing Factor.

    PubMed

    Bryce, Courtney A; Floresco, Stan B

    2016-07-01

    Acute stress activates numerous systems in a coordinated effort to promote homeostasis, and can exert differential effects on mnemonic and cognitive functions depending on a myriad of factors. Stress can alter different forms of cost/benefit decision-making, yet the mechanisms that drive these effects, remain unclear. In the present study, we probed how corticotropin-releasing factor (CRF) may contribute to stress-induced alterations in cost/benefit decision-making, using an task where well-trained rats chose between a low effort/low reward lever (LR; two pellets) and a high effort/high reward lever (HR; four pellets), with the effort requirement increasing over a session (2, 5, 10, and 20 presses). One-hour restraint stress markedly reduced preference for the HR option, but this effect was attenuated by infusions of the CRF antagonist, alpha-helical CRF. Conversely, central CRF infusion mimicked the effect of stress on decision-making, as well as increased decision latencies and reduced response vigor. CRF infusions did not alter preference for larger vs smaller rewards, but did reduce responding for food delivered on a progressive ratio, suggesting that these treatments may amplify perceived effort costs that may be required to obtain rewards. CRF infusions into the ventral tegmental area recapitulated the effect of central CRF treatment and restraint on choice behavior, suggesting that these effects may be mediated by perturbations in dopamine transmission. These findings highlight the involvement of CRF in regulating effort-related decisions and suggest that increased CRF activity may contribute to motivational impairments and abnormal decision-making associated with stress-related psychiatric disorders such as depression.

  3. Treatment decision-making strategies and influences in patients with localized prostate carcinoma.

    PubMed

    Gwede, Clement K; Pow-Sang, Julio; Seigne, John; Heysek, Randy; Helal, Mohamed; Shade, Kristin; Cantor, Alan; Jacobsen, Paul B

    2005-10-01

    Patients diagnosed with localized prostate carcinoma need to interpret complicated medical information to make an informed treatment selection from among treatments that have comparable efficacy but differing side effects. The authors reported initial results for treatment decision-making strategies among men receiving definitive treatment for localized prostate carcinoma. One hundred nineteen men treated with radical prostatectomy (44%) or brachytherapy (56%) consented to participate. Guided by a cognitive-affective theoretic framework, the authors assessed differences in decision-making strategies, and treatment and disease-relevant beliefs and affects, in addition to demographic and clinical variables. Approximately half of patients reported difficulty (49%) and distress (45%) while making treatment decisions, but no regrets (74%) regarding the treatment choice they made. Patients who underwent prostatectomy were younger, were more likely to be employed, had worse tumor grade, and had a shorter time since diagnosis (P < 0.01) compared with patients who did not undergo prostatectomy. In multivariate analyses, compared with patients who received radical prostatectomy, patients who received brachytherapy were more likely to say that they chose this treatment because it was "the least invasive" and they "wanted to avoid surgery" (P < 0.0001). In general, patients who received brachytherapy chose this treatment because of quality of life considerations, whereas "cure" and complete removal of the tumor were the main motivations for patients selecting radical prostatectomy. Long-term data are needed to evaluate distress and decisional regret as patients experience treatment-related chronic side effects and efficacy outcomes. Decision-making aids or other interventions to reduce decisional difficulty and emotional distress during decision making were indicated.

  4. The use of control charts by laypeople and hospital decision-makers for guiding decision making.

    PubMed

    Schmidtke, K A; Watson, D G; Vlaev, I

    2017-07-01

    Graphs presenting healthcare data are increasingly available to support laypeople and hospital staff's decision making. When making these decisions, hospital staff should consider the role of chance-that is, random variation. Given random variation, decision-makers must distinguish signals (sometimes called special-cause data) from noise (common-cause data). Unfortunately, many graphs do not facilitate the statistical reasoning necessary to make such distinctions. Control charts are a less commonly used type of graph that support statistical thinking by including reference lines that separate data more likely to be signals from those more likely to be noise. The current work demonstrates for whom (laypeople and hospital staff) and when (treatment and investigative decisions) control charts strengthen data-driven decision making. We present two experiments that compare people's use of control and non-control charts to make decisions between hospitals (funnel charts vs. league tables) and to monitor changes across time (run charts with control lines vs. run charts without control lines). As expected, participants more accurately identified the outlying data using a control chart than using a non-control chart, but their ability to then apply that information to more complicated questions (e.g., where should I go for treatment?, and should I investigate?) was limited. The discussion highlights some common concerns about using control charts in hospital settings.

  5. Digital technology and clinical decision making in depression treatment: Current findings and future opportunities.

    PubMed

    Hallgren, Kevin A; Bauer, Amy M; Atkins, David C

    2017-06-01

    Clinical decision making encompasses a broad set of processes that contribute to the effectiveness of depression treatments. There is emerging interest in using digital technologies to support effective and efficient clinical decision making. In this paper, we provide "snapshots" of research and current directions on ways that digital technologies can support clinical decision making in depression treatment. Practical facets of clinical decision making are reviewed, then research, design, and implementation opportunities where technology can potentially enhance clinical decision making are outlined. Discussions of these opportunities are organized around three established movements designed to enhance clinical decision making for depression treatment, including measurement-based care, integrated care, and personalized medicine. Research, design, and implementation efforts may support clinical decision making for depression by (1) improving tools to incorporate depression symptom data into existing electronic health record systems, (2) enhancing measurement of treatment fidelity and treatment processes, (3) harnessing smartphone and biosensor data to inform clinical decision making, (4) enhancing tools that support communication and care coordination between patients and providers and within provider teams, and (5) leveraging treatment and outcome data from electronic health record systems to support personalized depression treatment. The current climate of rapid changes in both healthcare and digital technologies facilitates an urgent need for research, design, and implementation of digital technologies that explicitly support clinical decision making. Ensuring that such tools are efficient, effective, and usable in frontline treatment settings will be essential for their success and will require engagement of stakeholders from multiple domains. © 2017 Wiley Periodicals, Inc.

  6. Decision-making in geriatric oncology: systemic treatment considerations for older adults with colon cancer.

    PubMed

    Moth, Erin B; Vardy, Janette; Blinman, Prunella

    2016-12-01

    Colon cancer is common and can be considered a disease of older adults with more than half of cases diagnosed in patients aged over 70 years. Decision-making about treatment with chemotherapy for older adults may be complicated by age-related physiological changes, impaired functional status, limited social supports, concerns regarding the occurrence of and ability to tolerate treatment toxicity, and the presence of comorbidities. This is compounded by a lack of high quality evidence guiding cancer treatment decisions for older adults. Areas covered: This narrative review evaluates the evidence for adjuvant and palliative systemic therapy in older adults with colon cancer. The value of an adequate assessment prior to making a treatment decision is addressed, with emphasis on the geriatric assessment. Guidance in making a treatment decision is provided. Expert commentary: Treatment decisions should consider goals of care, a patient's treatment preferences, and weigh up relative benefits and harms.

  7. Decision aids for people facing health treatment or screening decisions.

    PubMed

    Stacey, Dawn; Légaré, France; Lewis, Krystina; Barry, Michael J; Bennett, Carol L; Eden, Karen B; Holmes-Rovner, Margaret; Llewellyn-Thomas, Hilary; Lyddiatt, Anne; Thomson, Richard; Trevena, Lyndal

    2017-04-12

    Decision aids are interventions that support patients by making their decisions explicit, providing information about options and associated benefits/harms, and helping clarify congruence between decisions and personal values. To assess the effects of decision aids in people facing treatment or screening decisions. Updated search (2012 to April 2015) in CENTRAL; MEDLINE; Embase; PsycINFO; and grey literature; includes CINAHL to September 2008. We included published randomized controlled trials comparing decision aids to usual care and/or alternative interventions. For this update, we excluded studies comparing detailed versus simple decision aids. Two reviewers independently screened citations for inclusion, extracted data, and assessed risk of bias. Primary outcomes, based on the International Patient Decision Aid Standards (IPDAS), were attributes related to the choice made and the decision-making process.Secondary outcomes were behavioural, health, and health system effects.We pooled results using mean differences (MDs) and risk ratios (RRs), applying a random-effects model. We conducted a subgroup analysis of studies that used the patient decision aid to prepare for the consultation and of those that used it in the consultation. We used GRADE to assess the strength of the evidence. We included 105 studies involving 31,043 participants. This update added 18 studies and removed 28 previously included studies comparing detailed versus simple decision aids. During the 'Risk of bias' assessment, we rated two items (selective reporting and blinding of participants/personnel) as mostly unclear due to inadequate reporting. Twelve of 105 studies were at high risk of bias.With regard to the attributes of the choice made, decision aids increased participants' knowledge (MD 13.27/100; 95% confidence interval (CI) 11.32 to 15.23; 52 studies; N = 13,316; high-quality evidence), accuracy of risk perceptions (RR 2.10; 95% CI 1.66 to 2.66; 17 studies; N = 5096; moderate

  8. The Structural Consequences of Big Data-Driven Education.

    PubMed

    Zeide, Elana

    2017-06-01

    Educators and commenters who evaluate big data-driven learning environments focus on specific questions: whether automated education platforms improve learning outcomes, invade student privacy, and promote equality. This article puts aside separate unresolved-and perhaps unresolvable-issues regarding the concrete effects of specific technologies. It instead examines how big data-driven tools alter the structure of schools' pedagogical decision-making, and, in doing so, change fundamental aspects of America's education enterprise. Technological mediation and data-driven decision-making have a particularly significant impact in learning environments because the education process primarily consists of dynamic information exchange. In this overview, I highlight three significant structural shifts that accompany school reliance on data-driven instructional platforms that perform core school functions: teaching, assessment, and credentialing. First, virtual learning environments create information technology infrastructures featuring constant data collection, continuous algorithmic assessment, and possibly infinite record retention. This undermines the traditional intellectual privacy and safety of classrooms. Second, these systems displace pedagogical decision-making from educators serving public interests to private, often for-profit, technology providers. They constrain teachers' academic autonomy, obscure student evaluation, and reduce parents' and students' ability to participate or challenge education decision-making. Third, big data-driven tools define what "counts" as education by mapping the concepts, creating the content, determining the metrics, and setting desired learning outcomes of instruction. These shifts cede important decision-making to private entities without public scrutiny or pedagogical examination. In contrast to the public and heated debates that accompany textbook choices, schools often adopt education technologies ad hoc. Given education

  9. Parent perspectives on information about late effects of childhood cancer treatment and their role in initial treatment decision making.

    PubMed

    Greenzang, Katie A; Dauti, Angela; Mack, Jennifer W

    2018-06-01

    Though most childhood cancer survivors experience late effects of treatment, we know little about parent preferences for late effects information during therapy, or how parents weigh late effects when making treatment decisions. Our objective was to explore how parents of children with cancer consider late effects in initial treatment decision making and during active cancer treatment. Semistructured interviews were conducted with 12 parents of children with cancer who were actively receiving treatment at Dana-Farber/Boston Children's Cancer and Blood Disorders Center. Interviews were audio-recorded, transcribed verbatim, and qualitatively analyzed using thematic analysis. Ten of 12 parents reported that they had to decide between two or more treatment options for their child's cancer. Of those, 50% (5/10) considered late effects to be an important factor in their decision making. Most parents wanted early and detailed information about their child's risk of late effects to make treatment decisions and to feel prepared for the future. However, a few parents felt too overwhelmed to focus on late effects at diagnosis. While many recalled extensive late effects information in informed consent discussions, some parents felt these issues were minimally addressed. Parents desire detailed information about late effects to make informed treatment decisions and prepare for the future. Despite the role of late effects in treatment decision making, some parents feel that late effects are either inadequately addressed or too overwhelming to process at diagnosis. Parents may benefit from early assessment of their information needs and a return to these issues over time. © 2018 Wiley Periodicals, Inc.

  10. Patients' perception of their involvement in shared treatment decision making: Key factors in the treatment of inflammatory bowel disease.

    PubMed

    Veilleux, Sophie; Noiseux, Isabelle; Lachapelle, Nathalie; Kohen, Rita; Vachon, Luc; Guay, Brian White; Bitton, Alain; Rioux, John D

    2018-02-01

    This study aims to characterize the relationships between the quality of the information given by the physician, the involvement of the patient in shared decision making (SDM), and outcomes in terms of satisfaction and anxiety pertaining to the treatment of inflammatory bowel disease (IBD). A Web survey was conducted among 200 Canadian patients affected with IBD. The theoretical model of SDM was adjusted using path analysis. SAS software was used for all statistical analyses. The quality of the knowledge transfer between the physician and the patient is significantly associated with the components of SDM: information comprehension, patient involvement and decision certainty about the chosen treatment. In return, patient involvement in SDM is significantly associated with higher satisfaction and, as a result, lower anxiety as regards treatment selection. This study demonstrates the importance of involving patients in shared treatment decision making in the context of IBD. Understanding shared decision making may motivate patients to be more active in understanding the relevant information for treatment selection, as it is related to their level of satisfaction, anxiety and adherence to treatment. This relationship should encourage physicians to promote shared decision making. Copyright © 2017 Elsevier B.V. All rights reserved.

  11. Use of implicit persuasion in decision making about adjuvant cancer treatment: A potential barrier to shared decision making.

    PubMed

    Engelhardt, Ellen G; Pieterse, Arwen H; van der Hout, Anja; de Haes, Hanneke J C J M; Kroep, Judith R; Quarles van Ufford-Mannesse, Patricia; Portielje, Johanneke E A; Smets, Ellen M A; Stiggelbout, Anne M

    2016-10-01

    Shared decision making (SDM) is widely advocated, especially for preference-sensitive decisions like those on adjuvant treatment for early-stage cancer. Here, decision making involves a subjective trade-off between benefits and side-effects, and therefore, patients' informed preferences should be taken into account. If clinicians consciously or unconsciously steer patients towards the option they think is in their patients' best interest (i.e. implicit persuasion), they may be unwittingly subverting their own efforts to implement SDM. We assessed the frequency of use of implicit persuasion during consultations and whether the use of implicit persuasion was associated with expected treatment benefit and/or decision making. Observational study design in which consecutive consultations about adjuvant systemic therapy with stage I-II breast cancer patients treated at oncology outpatient clinics of general teaching hospitals and university medical centres were audiotaped, transcribed and coded by two researchers independently. In total, 105 patients (median age = 59; range: 35-87 years) were included. A median of five (range: 2-10) implicitly persuasive behaviours were employed per consultation. The number of behaviours used did not differ by disease stage (P = 0.07), but did differ by treatment option presented (P = 0.002) and nodal status (P = 0.01). About 50% of patients with stage I or node-negative disease were steered towards undergoing chemotherapy, whereas 96% of patients were steered towards undergoing endocrine therapy, irrespective of expected treatment benefit. Decisions were less often postponed if more implicit persuasion was used (P = 0.03). Oncologists frequently use implicit persuasion, steering patients towards the treatment option that they think is in their patients' best interest. Expected treatment benefit does not always seem to be the driving force behind implicit persuasion. Awareness of one's use of these steering behaviours

  12. Perturbations in Effort-Related Decision-Making Driven by Acute Stress and Corticotropin-Releasing Factor

    PubMed Central

    Bryce, Courtney A; Floresco, Stan B

    2016-01-01

    Acute stress activates numerous systems in a coordinated effort to promote homeostasis, and can exert differential effects on mnemonic and cognitive functions depending on a myriad of factors. Stress can alter different forms of cost/benefit decision-making, yet the mechanisms that drive these effects, remain unclear. In the present study, we probed how corticotropin-releasing factor (CRF) may contribute to stress-induced alterations in cost/benefit decision-making, using an task where well-trained rats chose between a low effort/low reward lever (LR; two pellets) and a high effort/high reward lever (HR; four pellets), with the effort requirement increasing over a session (2, 5, 10, and 20 presses). One-hour restraint stress markedly reduced preference for the HR option, but this effect was attenuated by infusions of the CRF antagonist, alpha-helical CRF. Conversely, central CRF infusion mimicked the effect of stress on decision-making, as well as increased decision latencies and reduced response vigor. CRF infusions did not alter preference for larger vs smaller rewards, but did reduce responding for food delivered on a progressive ratio, suggesting that these treatments may amplify perceived effort costs that may be required to obtain rewards. CRF infusions into the ventral tegmental area recapitulated the effect of central CRF treatment and restraint on choice behavior, suggesting that these effects may be mediated by perturbations in dopamine transmission. These findings highlight the involvement of CRF in regulating effort-related decisions and suggest that increased CRF activity may contribute to motivational impairments and abnormal decision-making associated with stress-related psychiatric disorders such as depression. PMID:26830960

  13. Involving patients in treatment decisions - a delicate balancing act for Swedish dentists.

    PubMed

    Röing, Marta; Holmström, Inger Knutsson

    2014-08-01

    This study focuses on patients' participation in treatment decisions related to the delivery of oral health care in the social welfare state of Sweden. In 1985, the National Dental Service Act gave dental patients the right to take an active role in decisions regarding their treatment and, in doing so, strengthened them as consumers. Little is known how dentists in Sweden have adapted to this change. This study explores how dentists in Sweden perceive and experience involving patients in dental treatment decisions. Data were collected from open-ended interviews with nineteen dentists, and an inductive qualitative content analysis was chosen to analyse the transcribed interviews. Involving patients in treatment decisions appeared to be delicate balancing acts between the ideals of patient involvement and the reality of how it is practised in Sweden. These balancing acts in turn revealed obstacles to patient involvement and the role that economy can play on the decisions of some patients regarding their treatment. This study has given insight into a relationship in which some dentists in Sweden find it hard to adapt to and change their professional role with patients who appear to act more as consumers. For these dentists, better practice of patient involvement may require adoption of a more consumerist approach. However, in situations where economy influences patients' treatment choices, the ideals of patient involvement may remain unattainable. © 2012 John Wiley & Sons Ltd.

  14. Surgical or non-surgical periodontal treatment: factors affecting patient decision making.

    PubMed

    Patel, Amit M; Richards, Philip S; Wang, Hom-Lay; Inglehart, Marita R

    2006-04-01

    This study explored which factors affected patients' decisions to pursue either surgical or non-surgical periodontal treatment. Data were collected from 74 patients at a regularly scheduled periodontal appointment, at which each patient was told that periodontal treatment was needed, and 2 weeks following the actual treatment. The surveys assessed the patients' decisions and potential determinants of these decisions. The dental anxiety scale-revised, the state-trait anxiety inventory, and the Iowa dental control index were used to measure psychosocial factors. Patients who decided to have surgery did not differ from patients who decided against surgery in sociodemographic variables such as gender, age, education, and socioeconomic status, nor in their desire for control over the treatment decision. However, they had less dental fear and less general anxiety than the non-surgery patients. Although the two patient groups did not differ in their responses concerning how well the dentists had informed them about the procedure, they differed in the degree of trust and rapport with their dentists. The less dentally fearful and anxious patients were in general and the more they trusted their provider and felt they had good rapport, the more likely they were to accept surgical periodontal treatment. These results stress the importance of good patient-provider communication.

  15. Young breast cancer patients' involvement in treatment decisions: the major role played by decision-making about surgery.

    PubMed

    Seror, Valérie; Cortaredona, Sébastien; Bouhnik, Anne-Deborah; Meresse, Mégane; Cluze, Camille; Viens, Patrice; Rey, Dominique; Peretti-Watel, Patrick

    2013-11-01

    The objective of this study is to investigate young breast cancer patients' preferred and actual involvement in decision-making about surgery, chemotherapy, and adjuvant endocrine therapy (AET). A total of 442 women aged 18-40 years at the time of the diagnosis participated in the region-wide ELIPPSE40 cohort study (southeastern France). Logistic regression analyses were performed on various factors possibly affecting patients' preferred and perceived involvement in the decisions about their cancer treatment. The women's mean age was 36.8 years at enrollment. Preference for a fully passive role in decision-making was stated by 20.7% of them. It was favored by regular breast surveillance (p = 0.04) and positive experience of being informed about cancer diagnosis (p = 0.02). Patients' preferences were independently associated with their reported involvement in decision-making about surgery (p = 0.01). A fully passive role in decision-making about chemotherapy and AET was more likely to be reported by patients who perceived their involvement in decision-making about surgery as having been fully passive (adjusted odds ratio = 4.8, CI95% [2.7-8.7], and adjusted odds ratio = 9.8, CI95% [3.3-29.2], respectively). This study shows a significant relationship between the use of antidepressants and involvement in decision-making about surgery, and confirms the relationship between impaired quality of life (in the psychological domain) and a fully passive role in decisions about cancer treatment. Patients' involvement in decision-making about chemotherapy and AET was strongly influenced by their experience of decision-making about surgery, regardless of their tumor stage and history of breast or ovarian cancer. When decisions are being made about surgery, special attention should be paid to facilitating breast cancer patients' involvement in the decision-making. Copyright © 2013 John Wiley & Sons, Ltd.

  16. Understanding Pediatric Dentists' Dental Caries Management Treatment Decisions: A Conjoint Experiment.

    PubMed

    Kateeb, E T; Warren, J J; Gaeth, G J; Momany, E T; Damiano, P C

    2016-04-01

    When traditional ranking and rating surveys are used to assess dentists' treatment decisions, the patient's source of payment appears to be of little importance. Therefore, this study used the marketing research tool conjoint analysis to investigate the relative impact of source of payment along with the child's age and cooperativeness on pediatric dentists' willingness to use Atraumatic Restorative Treatment (ART) to restore posterior primary teeth. A conjoint survey was completed by 707 pediatric dentists. Three factors (age of the child, cooperativeness, type of insurance) were varied across 3 levels to create 9 patient scenarios. The relative weights that dentists placed on these factors in the restorative treatment decision process were determined by conjoint analysis. "Cooperativeness" (52%) was the most important factor, "age of the child" (26%) the second-most important factor, followed by "insurance status of the child" (22%). For the third factor, insurance, pediatric dentists were least willing to use ART with publicly insured children (-0.082), and this was significantly different from their willingness to use ART with uninsured children (0.010) but not significantly different than their willingness to use ART for children with private insurance (0.073). Unlike traditional ranking and rating tools, conjoint analysis found that the insurance status of the patient appeared to be an important factor in dentists' decisions about different restorative treatment options. When pediatric dentists were forced to make tradeoffs among different patients' factors, they were most willing to use ART technique with young, uncooperative patients when they had no insurance. Knowledge Transfer Statement : The present study suggests the feasibility of using techniques borrowed from marketing research, such as conjoint analysis, to understand dentists' restorative treatment decisions. Results of this study demonstrate pediatric dentists' willingness to use a particular

  17. Neural mechanisms associated with treatment decision making: An fMRI study.

    PubMed

    Abidi, Malek; Bruce, Jared; Le Blanche, Alain; Bruce, Amanda; Jarmolowicz, David P; Csillik, Antonia; Thai, N Jade; Lim, Seung-Lark; Heinzlef, Olivier; de Marco, Giovanni

    2018-04-23

    Great progress has been made in understanding how people make financial decisions. However, there is little research on how people make health and treatment choices. Our study aimed to examine how participants weigh benefits (reduction in disease progression) and probability of risk (medications' side effects) when making hypothetical treatment decisions, and to identify the neural networks implicated in this process. Fourteen healthy participants were recruited to perform a treatment decision probability discounting task using MRI. Behavioral responses and skin conductance responses (SCRs) were measured. A whole brain analysis were performed to compare activity changes between "mild" and "severe" medications' side effects conditions. Then, orbitofrontal cortex (OFC), ventral striatum (VS), amygdala and insula were chosen for effective connectivity analysis. Behavioral data showed that participants are more likely to refuse medication when side effects are high and efficacy is low. SCRs values were significantly higher when people made medication decisions in the severe compared to mild condition. Functionally, OFC and VS were activated in the mild condition and were associated with increased likehood of choosing to take medication (higher area under the curve "AUC" side effects/efficacy). These regions also demonstrated an increased effective connectivity when participants valued treatment benefits. By contrast, the OFC, insula and amygdala were activated in the severe condition and were associated with and increased likelihood to refuse treatment. These regions showed enhanced effective connectivity when participants were confronted with increased side effects severity. This is the first study to examine the behavioral and neural bases of medical decision making. Copyright © 2018 Elsevier B.V. All rights reserved.

  18. A qualitative study of women's decision-making at the end of IVF treatment.

    PubMed

    Peddie, V L; van Teijlingen, E; Bhattacharya, S

    2005-07-01

    The decision not to pursue further in vitro fertilization (IVF) after one or more unsuccessful attempts is an important and often difficult one for couples. Relatively little is known about the woman's perception of this decision-making process. The aim of this study was to examine patients' perspectives of decision-making, including circumstances influencing it and satisfaction with the decision-making process. Semi-structured interviews were conducted with a purposive sample of 25 women who had decided to end treatment after unsuccessful IVF treatment. Interviews were tape-recorded and transcribed by means of thematic analysis using the open coding technique. Women experienced difficulty in accepting that their infertility would remain unresolved. Many felt that they had started with unrealistic expectations of treatment success and felt vulnerable to the pressures of both the media and society. Although the decision to end treatment was difficult, it offered many women a way out of the emotional distress caused by IVF; however, the process of decision-making created a sense of 'confrontation' for the women in which they had to address issues they had previously avoided. Adoptive parents perceived less societal pressure than those who remained childless. Efforts to improve the psychological preparation of couples who decide to end IVF treatment should be directed towards examination of the existing system of consultation, which has certain limitations in terms of the quality of communication and the provision of post-treatment support. Further efforts to develop strategies, which facilitate the decision-making process, should be considered.

  19. Data-Driven Decision Making and Its Effects on Leadership Practices and Student Achievement in K-5 Public Elementary Schools in California

    ERIC Educational Resources Information Center

    Ceja, Rafael, Jr.

    2012-01-01

    The enactment of the NCLB Act of 2001 and its legislative mandates for accountability testing throughout the nation brought to the forefront the issue of data-driven decision making. This emphasis on improving education has been spurred due to the alleged failure of the public school system. As a result, the role of administrators has evolved to…

  20. Teachers' Experiences with the Data-Driven Decision Making Process in Increasing Students' Reading Achievement in a Title I Elementary Public School

    ERIC Educational Resources Information Center

    Atkinson, Linton

    2015-01-01

    This paper is a research dissertation based on a qualitative case study conducted on Teachers' Experiences within a Data-Driven Decision Making (DDDM) process. The study site was a Title I elementary school in a large school district in Central Florida. Background information is given in relation to the need for research that was conducted on the…

  1. Patient preference and decision-making for initiating metastatic colorectal cancer medical treatment.

    PubMed

    Fu, Alex Z; Graves, Kristi D; Jensen, Roxanne E; Marshall, John L; Formoso, Margaret; Potosky, Arnold L

    2016-03-01

    Some medical treatment for metastatic colorectal cancer (CRC) may have marginal survival benefit, but cause toxicities. The purpose of this study is to determine metastatic CRC patients' tradeoffs in making a decision to undergo new medical treatment. We conducted a survey of patients with a diagnosis of advanced CRC who were currently receiving or completed one chemotherapy regimen. First, patients were asked to rate the importance of 15 medical treatment-related adverse events that may arise as a consequence of chemotherapy or biological therapy in their treatment decision-making. Then, the patient identified his or her top five most important events and solicited preferences in hypothetical metastatic CRC treatment vignettes using the standard gamble technique. A total of 107 patients responded to the survey. From the list of medical treatment-related adverse events, patients identified clinically serious ones such as stroke, heart attack, and gastrointestinal perforation as the most important in their medical treatment decision-making, yet placed lower willingness to tolerate symptom-related events such as pain, fatigue, and depression. Generally, patients who were older, stage III versus IV and who had prior radiotherapy, lower educational attainment, and lower household income (all p <0.05) were less willing to tolerate any medical treatment-related adverse events after adjusting for other demographic and clinical characteristics. Variations in patients' willingness to tolerate different treatment-related adverse events underscore the need for improved communications between physicians and patients about the risks and benefits of their medical treatment, which helps make a more personalized decision for metastatic CRC treatment.

  2. Treatment decision making experiences of migrant cancer patients and their families in Australia.

    PubMed

    Shaw, Joanne; Zou, Xian; Butow, Phyllis

    2015-06-01

    To explore treatment decision-making experiences of Australian migrants with cancer from Arabic, Chinese, or Greek backgrounds and their relatives. 73 patients and 18 caregivers from cancer support groups and oncology clinics participated in either a focus group (n=14) or semi-structured interview (n=21) conducted in the participant's own language. Participant treatment decision-making preferences were discussed as part of patients' overall treatment experience and a thematic analysis conducted. Four main themes emerged from the data: (1) perceived role of the patient in decision-making; (2) access to information and the impact of language; (3) cultural influences (4) family involvement. The majority of participants experienced passive involvement during treatment consultations, but expressed a desire for greater involvement. Language rather than culture was a greater obstacle to active participation. Difficulty communicating effectively in English was the most significant barrier to participation in treatment decisions. To overcome language challenges, participants actively sought information from alternative sources. This study provides new insights into the influence of language and culture on the treatment decision-making experiences of migrants with cancer and their families within the Australian cancer care system. To reduce health disparities doctors need to address language difficulties and be aware of cultural differences. Copyright © 2015. Published by Elsevier Ireland Ltd.

  3. Decision support systems in water and wastewater treatment process selection and design: a review.

    PubMed

    Hamouda, M A; Anderson, W B; Huck, P M

    2009-01-01

    The continuously changing drivers of the water treatment industry, embodied by rigorous environmental and health regulations and the challenge of emerging contaminants, necessitates the development of decision support systems for the selection of appropriate treatment trains. This paper explores a systematic approach to developing decision support systems, which includes the analysis of the treatment problem(s), knowledge acquisition and representation, and the identification and evaluation of criteria controlling the selection of optimal treatment systems. The objective of this article is to review approaches and methods used in decision support systems developed to aid in the selection, sequencing of unit processes and design of drinking water, domestic wastewater, and industrial wastewater treatment systems. Not surprisingly, technical considerations were found to dominate the logic of the developed systems. Most of the existing decision-support tools employ heuristic knowledge. It has been determined that there is a need to develop integrated decision support systems that are generic, usable and consider a system analysis approach.

  4. Decision-making authority and substance abuse treatment for adolescents: a survey of state laws.

    PubMed

    Lallemont, Tori; Mastroianni, Anna; Wickizer, Thomas M

    2009-04-01

    State laws concerning decision-making authority for voluntary inpatient substance abuse (SA) treatment of minors may be a potential barrier to appropriate treatment. We sought to identify and classify relevant laws related to the provision of voluntary inpatient SA treatment to adolescents 12 to 17 years (minors) as an exploratory assessment to improve understanding of how these laws might affect treatment decisions. In summer 2006, we conducted a survey of statutes, regulations, and legal cases in the 50 states and the District of Columbia regarding the authority of parents (or guardians) and minors to make treatment decisions for voluntary inpatient SA treatment. All 50 states have laws applicable to voluntary inpatient SA treatment for adolescents, and the laws vary significantly throughout the nation. If a minor and parent disagree about SA treatment, some states defer to the decision-making authority of the minor, whereas other states defer to the parent. Most significantly, the majority of states fail to specify whether the minor's or the parent's decision will control in the event of a conflict. The lack of clarity in state laws regarding decision-making authority for voluntary inpatient SA treatment of minors may create a potential barrier to treatment for adolescents, especially those with more serious SA problems. This lack of clarity could lead to confusion among parents, adolescents, healthcare professionals, and treatment facilities, and ultimately could result in a failure to treat adolescents in need of medical attention. Policymakers should ensure that state laws clearly specify procedures to enable treatment if a conflict arises between adolescents and parents, including procedures to ensure that the due process rights of adolescents are protected.

  5. Helping patients to reach decisions regarding their treatment: Do 'non-directive' approaches cause systematic bias?

    PubMed

    MacInnes, Joy Anne; Salkovskis, Paul M; Wroe, Abigail; Hope, Tony

    2015-11-01

    Many patients want help in considering medical information relevant to treatment decisions they have to make or agree to. The present research investigated whether focussing on particular issues relevant to a medical treatment decision (using an apparently non-directive procedure) could systematically bias a treatment decision. In a randomized design, participants (community volunteers, n = 146) were given standard information about treatment of cardiac risk factors by medication (statins). There were four experimental interventions in which the participants focussed on the likely personal relevance of subsets of the information previously given (positive, negative, or mixed aspects) or on irrelevant information. Participants were asked to rate their anticipated likelihood of accepting treatment before and after the experimental intervention. The rating of acceptance of treatment was significantly increased by positive focussing; negative focussing did not significantly alter the decision rating. The results partially replicate similar studies in health screening decisions. Reasons for the differences in results from those obtained in screening studies are considered. It is suggested that negative focussing may have less effect in decisions in which there are few risks. Statement of contribution What is already known on this subject? Decision-making in the context of health behaviour change has been widely described, but there are few experimental studies testing hypothesised strategies. 'Non-directiveness' is often regarded as desirable because it supposedly allows exploration of the decision without influencing it. Previous studies on health screening (but not treatment) have shown that health decision outcomes can be systematically influenced by the way in which a 'non-directive' intervention is implemented. This can be accounted for by a modified subjective expected utility theory previously applied to both health screening and child vaccination decisions. What

  6. Shared decision making after severe stroke-How can we improve patient and family involvement in treatment decisions?

    PubMed

    Visvanathan, Akila; Dennis, Martin; Mead, Gillian; Whiteley, William N; Lawton, Julia; Doubal, Fergus Neil

    2017-12-01

    People who are well may regard survival with disability as being worse than death. However, this is often not the case when those surviving with disability (e.g. stroke survivors) are asked the same question. Many routine treatments provided after an acute stroke (e.g. feeding via a tube) increase survival, but with disability. Therefore, clinicians need to support patients and families in making informed decisions about the use of these treatments, in a process termed shared decision making. This is challenging after acute stroke: there is prognostic uncertainty, patients are often too unwell to participate in decision making, and proxies may not know the patients' expressed wishes (i.e. values). Patients' values also change over time and in different situations. There is limited evidence on successful methods to facilitate this process. Changes targeted at components of shared decision making (e.g. decision aids to provide information and discussing patient values) increase patient satisfaction. How this influences decision making is unclear. Presumably, a "shared decision-making tool" that introduces effective changes at various stages in this process might be helpful after acute stroke. For example, by complementing professional judgement with predictions from prognostic models, clinicians could provide information that is more accurate. Decision aids that are personalized may be helpful. Further qualitative research can provide clinicians with a better understanding of patient values and factors influencing this at different time points after a stroke. The evaluation of this tool in its success to achieve outcomes consistent with patients' values may require more than one clinical trial.

  7. A Qualitative Exploration of Clinician Views and Experiences of Treatment Decision-Making in Bipolar II Disorder.

    PubMed

    Fisher, Alana; Manicavasagar, Vijaya; Sharpe, Louise; Laidsaar-Powell, Rebekah; Juraskova, Ilona

    2017-11-01

    This study qualitatively explored clinicians' views and experiences of treatment decision-making in BPII. Semi-structured interviews were conducted with 20 practising clinicians (n = 10 clinical psychologists, n = 6 GPs, n = 4 psychiatrists) with experience in treating adult outpatients with BPII. Interviews were audiotaped, transcribed verbatim and thematically analysed using framework methods. Professional experience, and preferences for patient involvement in decision-making were also assessed. Qualitative analyses yielded four inter-related themes: (1) (non-)acceptance of diagnosis and treatment; (2) types of decisions; (3) treatment uncertainty and balancing act; and (4) decision-making in consultations. Clinician preferences for treatment, professional experience, and self-reported preferences for patient/family involvement seemed to influence decision-making. This study is the first to explore clinician views and experiences of treatment decision-making in BPII. Findings demonstrate how clinician-related factors may shape treatment decision-making, and suggest potential problems such as patient perceptions of lower-than-preferred involvement.

  8. Comprehensible knowledge model creation for cancer treatment decision making.

    PubMed

    Afzal, Muhammad; Hussain, Maqbool; Ali Khan, Wajahat; Ali, Taqdir; Lee, Sungyoung; Huh, Eui-Nam; Farooq Ahmad, Hafiz; Jamshed, Arif; Iqbal, Hassan; Irfan, Muhammad; Abbas Hydari, Manzar

    2017-03-01

    A wealth of clinical data exists in clinical documents in the form of electronic health records (EHRs). This data can be used for developing knowledge-based recommendation systems that can assist clinicians in clinical decision making and education. One of the big hurdles in developing such systems is the lack of automated mechanisms for knowledge acquisition to enable and educate clinicians in informed decision making. An automated knowledge acquisition methodology with a comprehensible knowledge model for cancer treatment (CKM-CT) is proposed. With the CKM-CT, clinical data are acquired automatically from documents. Quality of data is ensured by correcting errors and transforming various formats into a standard data format. Data preprocessing involves dimensionality reduction and missing value imputation. Predictive algorithm selection is performed on the basis of the ranking score of the weighted sum model. The knowledge builder prepares knowledge for knowledge-based services: clinical decisions and education support. Data is acquired from 13,788 head and neck cancer (HNC) documents for 3447 patients, including 1526 patients of the oral cavity site. In the data quality task, 160 staging values are corrected. In the preprocessing task, 20 attributes and 106 records are eliminated from the dataset. The Classification and Regression Trees (CRT) algorithm is selected and provides 69.0% classification accuracy in predicting HNC treatment plans, consisting of 11 decision paths that yield 11 decision rules. Our proposed methodology, CKM-CT, is helpful to find hidden knowledge in clinical documents. In CKM-CT, the prediction models are developed to assist and educate clinicians for informed decision making. The proposed methodology is generalizable to apply to data of other domains such as breast cancer with a similar objective to assist clinicians in decision making and education. Copyright © 2017 Elsevier Ltd. All rights reserved.

  9. A preliminary study applying decision analysis to the treatment of caries in primary teeth.

    PubMed

    Tamošiūnas, Vytautas; Kay, Elizabeth; Craven, Rebecca

    2013-01-01

    To determine an optimal treatment strategy for carious deciduous teeth. Manchester Dental Hospital. Decision analysis. The likelihoods of each of the sequelae of caries in deciduous teeth were determined from the literature. The utility of the outcomes from non-treatment and treatment was then measured in 100 parents of children with caries, using a visual analogue scale. Decision analysis was performed which weighted the value of each potential outcome by the probability of its occurrence. A decision tree "fold-back" and sensitivity analysis then determined which treatment strategies, under which circumstances, offered the maximum expected utilities. The decision to leave a carious deciduous tooth unrestored attracted a maximum utility of 76.65 and the overall expected utility for the decision "restore" was 73.27 The decision to restore or not restore carious deciduous teeth are therefore of almost equal value. The decision is however highly sensitive to the utility value assigned to the advent of pain by the patient. There is no clear advantage to be gained by restoring deciduous teeth if patients' evaluations of outcomes are taken into account. Avoidance of pain and avoidance of procedures which are viewed as unpleasant by parents should be key determinants of clinical decision making about carious deciduous teeth.

  10. Treatment limitation decisions under uncertainty: the value of subsequent euthanasia.

    PubMed

    Savulescu, Julian

    1994-01-01

    This paper examines how decisions to limit treatment to critically ill patients under uncertainty can be made rationally. Expected utility theory offers one way of making rational decisions under uncertainty. One problem with using this approach is that we may not know the value of each option. One rational course open is to treat until further information becomes available. However, treatment can limit the range of options open. With treatment, a patient may recover such that he no longer requires life-supporting treatment. However, his life may be not worth living. If active euthanasia of 'non-terminal' conditions is prohibited, the option of dying will no longer be available. Taking a rational 'wait and see' course may result in being trapped within an unbearable life. On the other hand, sometimes present practice 'lets nature take its course'. Critically ill patients are allowed to die because it is believed that their lives will be not worth living. It is likely that some patients are allowed to die when there is some objective chance of worthwhile future life. This paper argues that a policy of treating critically ill patients until the nature of future options can be better evaluated, in company with an offer of subsequent euthanasia where appropriate, allows a more rational and humane approach to treatment limitation decisions under uncertainty.

  11. Influence of Men's Personality and Social Support on Treatment Decision-Making for Localized Prostate Cancer.

    PubMed

    Reamer, Elyse; Yang, Felix; Holmes-Rovner, Margaret; Liu, Joe; Xu, Jinping

    2017-01-01

    Optimal treatment for localized prostate cancer (LPC) is controversial. We assessed the effects of personality, specialists seen, and involvement of spouse, family, or friends on treatment decision/decision-making qualities. We surveyed a population-based sample of men ≤ 75 years with newly diagnosed LPC about treatment choice, reasons for the choice, decision-making difficulty, satisfaction, and regret. Of 160 men (71 black, 89 white), with a mean age of 61 (±7.3) years, 59% chose surgery, 31% chose radiation, and 10% chose active surveillance (AS)/watchful waiting (WW). Adjusting for age, race, comorbidity, tumor risk level, and treatment status, men who consulted friends during decision-making were more likely to choose curative treatment (radiation or surgery) than WW/AS (OR = 11.1, p < 0.01; 8.7, p < 0.01). Men who saw a radiation oncologist in addition to a urologist were more likely to choose radiation than surgery (OR = 6.0, p = 0.04). Men who consulted family or friends (OR = 2.6, p < 0.01; 3.7, p < 0.01) experienced greater decision-making difficulty. No personality traits (pessimism, optimism, or faith) were associated with treatment choice/decision-making quality measures. In addition to specialist seen, consulting friends increased men's likelihood of choosing curative treatment. Consulting family or friends increased decision-making difficulty.

  12. A decision support tool for selecting the optimal sewage sludge treatment.

    PubMed

    Turunen, Ville; Sorvari, Jaana; Mikola, Anna

    2018-02-01

    Sewage sludge contains significant amounts of resources, such as nutrients and organic matter. At the same time, the organic contaminants (OC) found in sewage sludge are of growing concern. Consequently, in many European countries incineration is currently favored over recycling in agriculture. This study presents a Multi-Attribute Value Theory (MAVT)-based decision support tool (DST) for facilitating sludge treatment decisions. Essential decision criteria were recognized and prioritized, i.e., weighted, by experts from water utilities. Since the fate of organic contaminants was in focus, a simple scoring method was developed to take into account their environmental risks. The final DST assigns each sludge treatment method a preference score expressing its superiority compared to alternative methods. The DST was validated by testing it with data from two Finnish municipal wastewater treatment plants (WWTP). The validation results of the first case study preferred sludge pyrolysis (preference score: 0.629) to other alternatives: composting and incineration (score 0.580, and 0.484 respectively). The preference scores were influenced by WWTP dependent factors, i.e., the operating environment and the weighting of the criteria. A lack of data emerged as the main practical limitation. Therefore, not all of the relevant criteria could be included in the value tree. More data are needed on the effects of treatment methods on the availability of nutrients, the quality of organic matter and sludge-borne OCs. Despite these shortcomings, the DST proved useful and adaptable in decision-making. It can also help achieve a more transparent, understandable and comprehensive decision-making process. Copyright © 2017 Elsevier Ltd. All rights reserved.

  13. The impact of prostate cancer diagnosis and treatment decision-making on health-related quality of life before treatment onset.

    PubMed

    Cuypers, Maarten; Lamers, Romy E D; Cornel, Erik B; van de Poll-Franse, Lonneke V; de Vries, Marieke; Kil, Paul J M

    2018-04-01

    The objective of this study is to test if patients' health-related quality of life (HRQoL) declines after prostate biopsy to detect Pca, and after subsequent treatment decision-making in case Pca is confirmed, and to test whether personality state and traits are associated with these potential changes in HRQoL. Patients who were scheduled for prostate biopsy to detect Pca (N = 377) filled out a baseline questionnaire about HRQoL (EORTC QLQ-C30 and PR25), "big five" personality traits (BFI-10), optimism (LOT-r), and self-efficacy (Decision Self-efficacy Scale) (t0). Patients with confirmed Pca (N = 126) filled out a follow-up questionnaire on HRQoL within 2 weeks after treatment was chosen but had not yet started (t1). HRQoL declined between t0 and t1, reflected in impaired role and cognitive functioning, and elevated fatigue, constipation, and prostate-specific symptoms. Sexual activity and functioning improved. Baseline HRQoL scores were unrelated to the selection of a particular treatment, but for patients who chose a curative treatment, post-decision HRQoL showed a greater decline compared to patients who chose active surveillance. Optimism was associated with HRQoL at baseline; decisional self-efficacy was positively associated with HRQoL at follow-up. No associations between HRQoL and the "big five" personality traits were found. Patients who have undergone prostate biopsy and treatment decision-making for Pca experience a decline in HRQoL. Choosing treatment with a curative intent was associated with greater decline in HRQoL. Interventions aimed at optimism and decision self-efficacy could be helpful to reduce HRQoL impairment around the time of prostate biopsy and treatment decision-making.

  14. Physician Perspectives on Decision Making for Treatment of Pediatric Sleep-Disordered Breathing.

    PubMed

    Boss, Emily F; Links, Anne R; Saxton, Ron; Cheng, Tina L; Beach, Mary Catherine

    2017-10-01

    Sleep-disordered breathing (SDB) is prevalent in children and most commonly treated by surgery with adenotonsillectomy. We aimed to learn physician perspectives of social and communication factors that influence decision making for treatment of pediatric SDB. Purposive sampling identified 10 physician key informants across disciplines and practice settings, who participated in semistructured interviews regarding SDB care experiences and communication with parents. Interviews were analyzed using directed qualitative content analysis. Physicians provided a variety of perspectives on decision making for treatment that fell into 3 overarching themes: approach to surgery and alternatives, communication and decision making with families, and sociocultural factors/barriers to care. Perspectives were moderately heterogeneous, suggesting that individual social and relational elements may significantly influence how physicians refer patients and recommend treatment, and how parents choose surgery for this prevalent condition. These findings will inform development of culturally competent communication strategies and support tools to enhance shared decision making for physicians treating children with SDB.

  15. Modeling treatment of ischemic heart disease with partially observable Markov decision processes.

    PubMed

    Hauskrecht, M; Fraser, H

    1998-01-01

    Diagnosis of a disease and its treatment are not separate, one-shot activities. Instead they are very often dependent and interleaved over time, mostly due to uncertainty about the underlying disease, uncertainty associated with the response of a patient to the treatment and varying cost of different diagnostic (investigative) and treatment procedures. The framework of Partially observable Markov decision processes (POMDPs) developed and used in operations research, control theory and artificial intelligence communities is particularly suitable for modeling such a complex decision process. In the paper, we show how the POMDP framework could be used to model and solve the problem of the management of patients with ischemic heart disease, and point out modeling advantages of the framework over standard decision formalisms.

  16. Planning treatment of ischemic heart disease with partially observable Markov decision processes.

    PubMed

    Hauskrecht, M; Fraser, H

    2000-03-01

    Diagnosis of a disease and its treatment are not separate, one-shot activities. Instead, they are very often dependent and interleaved over time. This is mostly due to uncertainty about the underlying disease, uncertainty associated with the response of a patient to the treatment and varying cost of different diagnostic (investigative) and treatment procedures. The framework of partially observable Markov decision processes (POMDPs) developed and used in the operations research, control theory and artificial intelligence communities is particularly suitable for modeling such a complex decision process. In this paper, we show how the POMDP framework can be used to model and solve the problem of the management of patients with ischemic heart disease (IHD), and demonstrate the modeling advantages of the framework over standard decision formalisms.

  17. Japanese cancer patient participation in and satisfaction with treatment-related decision-making: A qualitative study.

    PubMed

    Watanabe, Yoshiko; Takahashi, Miyako; Kai, Ichiro

    2008-02-27

    Over the last decade, patient involvement in treatment-related decision-making has been widely advocated in Japan, where patient-physician encounters are still under the influence of the long-standing tradition of paternalism. Despite this profound change in clinical practice, studies investigating the actual preferences of Japanese people regarding involvement in treatment-related decision-making are limited. The main objectives of this study were to (1) reveal the actual level of involvement of Japanese cancer patients in the treatment-related decision-making and their overall satisfaction with the decision-making process, and (2) consider the practical implications of increased satisfaction in cancer patients with regard to the decision-making process. We conducted semi-structured interviews with 24 Japanese cancer patients who were recruited from a cancer self-help group in Tokyo. The interviews were qualitatively analysed using the approach described by Lofland and Lofland. The analyses of the patients' interviews focused on 2 aspects: (1) who made treatment-related decisions (the physician or the patient), and (2) the informants' overall satisfaction with the decision-making process. The analyses revealed the following 5 categories of decision-making: 'patient as the active decision maker', 'doctor selection', 'wilfully entrusting the physician', 'compelled decision-making', and 'surrendering decision-making'. While the informants under the first 3 categories were fairly satisfied with the decision-making process, those under the latter 2 were extremely dissatisfied. Informants' views regarding their preferred role in the decision-making process varied substantially from complete physician control to complete patient control; the key factor for their satisfaction was the relation between their preferred involvement in decision-making and their actual level of involvement, irrespective of who the decision maker was. In order to increase patient satisfaction

  18. [Patients in pre-dialysis: decision taking and free choice of treatment].

    PubMed

    Sarrias Lorenz, X; Bardón Otero, E; Vila Paz, M L

    2008-01-01

    Predialysis is a clinical situation in which the patient has significant impairment of kidney function that will ultimately lead to either death or inclusion in kidney replacement therapy (dialysis and/or transplantation). Since a practical and effective dialysis technique was introduced, the length and quality of survival of patients with end-stage renal failure has constantly increased. Contraindications for dialysis are almost never of a renal origin. The obstacles are the concomitant diseases of the patient. The age of the patient may be one of these obstacles. The average age at initiation of dialysis in our country is currently 67 years and over 50% of patients are 60 years old or older. Decision making: From an ethical viewpoint, there is a consensus in stating that anything that can technically be done, should be done. The principle of nonmaleficence and respect for the autonomy of the patients are "prima facie" principles when the physician has doubts as to whether dialysis provides a benefit to the patient. The principle of autonomy, which makes the patient a competent subject of treatment, allows a framework of shared decisions to be created in which the physician uses his knowledge and experiences in assessing the risk and benefits of dialysis including the alternative of no dialysis. The competent patient, duly informed, will chose the option that is best for him and take the decision. Principle of treatment proportionality: This principle states that there is a moral obligation to implement all therapeutic measures that show a relationship of due proportion between the resources used and the expected result. Dialysis is in principle a proportional treatment for end-stage renal failure. However, it may become a disproportional treatment because of the physical and mental conditions of the elderly patient. The good that is sought with institution of treatment can cause a harm to the patient that justifies noninclusion of the patient in dialysis

  19. Interpreting patient decisional conflict scores: behavior and emotions in decisions about treatment.

    PubMed

    Knops, Anouk M; Goossens, Astrid; Ubbink, Dirk T; Legemate, Dink A; Stalpers, Lukas J; Bossuyt, Patrick M

    2013-01-01

    Patient decision aids facilitate treatment decisions. They are often evaluated in terms of their effect on decisional conflict, as measured by the Decisional Conflict Scale (DCS). It is unclear to what extent lower DCS scores are accompanied by observable patient behavior or emotions. To help interpret DCS scores. In a Dutch university hospital, statements on behaviors or emotions during decision making were collected from asymptomatic aneurysm patients and healthy employees. Subsequently, they rated the intensity of decisional conflict that each statement expresses on a 1 to 10 scale. Selected statements were prospectively tested in aneurysm patients and cancer patients facing treatment dilemmas. Associations between patients' DCS scores and reported behavior and emotions were analyzed using logistic regression analysis. Participants provided 363 statements on behaviors and emotions during decision making, of which 28 were mentioned more than 4 times. Nine forms of behavior and emotions were selected as they were graded with the least variable median ratings of intensity of decisional conflict. Among 100 patients facing a treatment dilemma, each point increase in DCS lowered their odds for "immediately making the decision" (odds ratio [OR], 0.96; 95% confidence interval [CI], 0.93-0.98), whereas the odds of "fretting regularly" (OR, 1.05; 95% CI, 1.02-1.08) and "feeling nervous when thinking of the decision" (OR, 1.04; 95% CI, 1.01-1.06) where higher. A decrease in decisional conflict scores leads to less decision postponing behavior, fretting, and nervousness. Research should focus on which DCS scores are needed to make deliberate decisions and which scores hinder patients in decision making.

  20. Influential factors on treatment decision making among patients with colorectal cancer: A scoping review.

    PubMed

    Cranley, Nicole M; Curbow, Barbara; George, Thomas J; Christie, Juliette

    2017-09-01

    In recent years, a greater emphasis has been placed on shared decision-making (SDM) techniques between providers and patients with the goal of helping patients make informed decisions about their care and subsequently to improve patient health outcomes. Previous research has shown variability in treatment decision-making among patients with colorectal cancer (CRC), and there is little comprehensive information available to help explain this variability. Thus, the purpose of this study was to evaluate the current state of the literature on factors that are influential in treatment decision-making among patients with CRC. A priori search terms using Boolean connectors were used to examine PubMed, PsycINFO, Web of Science, CINAHL, and MEDLINE for relevant studies. Eligibility criteria for inclusion in the study included patients with CRC and examination of influences on CRC treatment decision-making. All relevant data were extracted including, author, title and year, study methodology, and study results. Findings (n = 13) yielded influences in four areas: informational, patient treatment goals, patient role preferences, and relationship with provider. Quality of life and trust in physician were rated a high priority among patients when making decisions between different therapeutic options. Several studies found that patients wanted to be informed and involved but did not necessarily want to make autonomous treatment choices, with many preferring a more passive role. Providers who initiate a dialog to better understand their patients' treatment goals can establish rapport, increase patient understanding of treatment options, and help patients assume their desired role in their decision-making. Overall, there were a small number of studies that met all inclusion criteria with most used a cross-sectional design.

  1. Modern data-driven decision support systems: the role of computing with words and computational linguistics

    NASA Astrophysics Data System (ADS)

    Kacprzyk, Janusz; Zadrożny, Sławomir

    2010-05-01

    We present how the conceptually and numerically simple concept of a fuzzy linguistic database summary can be a very powerful tool for gaining much insight into the very essence of data. The use of linguistic summaries provides tools for the verbalisation of data analysis (mining) results which, in addition to the more commonly used visualisation, e.g. via a graphical user interface, can contribute to an increased human consistency and ease of use, notably for supporting decision makers via the data-driven decision support system paradigm. Two new relevant aspects of the analysis are also outlined which were first initiated by the authors. First, following Kacprzyk and Zadrożny, it is further considered how linguistic data summarisation is closely related to some types of solutions used in natural language generation (NLG). This can make it possible to use more and more effective and efficient tools and techniques developed in NLG. Second, similar remarks are given on relations to systemic functional linguistics. Moreover, following Kacprzyk and Zadrożny, comments are given on an extremely relevant aspect of scalability of linguistic summarisation of data, using a new concept of a conceptual scalability.

  2. Involving patients in treatment decisions – a delicate balancing act for Swedish dentists

    PubMed Central

    Röing, Marta; Holmström, Inger Knutsson

    2012-01-01

    Abstract Background  This study focuses on patients’ participation in treatment decisions related to the delivery of oral health care in the social welfare state of Sweden. In 1985, the National Dental Service Act gave dental patients the right to take an active role in decisions regarding their treatment and, in doing so, strengthened them as consumers. Little is known how dentists in Sweden have adapted to this change. Objective  This study explores how dentists in Sweden perceive and experience involving patients in dental treatment decisions. Design  Data were collected from open‐ended interviews with nineteen dentists, and an inductive qualitative content analysis was chosen to analyse the transcribed interviews. Findings  Involving patients in treatment decisions appeared to be delicate balancing acts between the ideals of patient involvement and the reality of how it is practised in Sweden. These balancing acts in turn revealed obstacles to patient involvement and the role that economy can play on the decisions of some patients regarding their treatment. Conclusions  This study has given insight into a relationship in which some dentists in Sweden find it hard to adapt to and change their professional role with patients who appear to act more as consumers. For these dentists, better practice of patient involvement may require adoption of a more consumerist approach. However, in situations where economy influences patients’ treatment choices, the ideals of patient involvement may remain unattainable. PMID:22512804

  3. Inhibition of Galectin-1 Sensitizes HRAS-driven Tumor Growth to Rapamycin Treatment.

    PubMed

    Michael, James V; Wurtzel, Jeremy G T; Goldfinger, Lawrence E

    2016-10-01

    The goal of this study was to develop combinatorial application of two drugs currently either in active use as anticancer agents (rapamycin) or in clinical trials (OTX008) as a novel strategy to inhibit Harvey RAS (HRAS)-driven tumor progression. HRAS anchored to the plasma membrane shuttles from the lipid ordered (L o ) domain to the lipid ordered/lipid disordered border upon activation, and retention of HRAS at these sites requires galectin-1. We recently showed that genetically enforced L o sequestration of HRAS inhibited mitogen-activated protein kinase (MAPK) signaling, but not phoshatidylinositol 3-kinase (PI3K) activation. Here we show that inhibition of galectin-1 with OTX008 sequestered HRAS in the L o domain, blocked HRAS-mediated MAPK signaling, and attenuated HRAS-driven tumor progression in mice. HRAS-driven tumor growth was also attenuated by treatment with mammalian target of rapamycin (mTOR) inhibitor rapamycin, and this effect was further enhanced in tumors driven by L o -sequestered HRAS. These drugs also revealed bidirectional cross-talk in HRAS pathways. Moreover, dual pathway inhibition with OTX008 and rapamycin resulted in nearly complete ablation of HRAS-driven tumor growth. These findings indicate that membrane microdomain sequestration of HRAS with galectin-1 inhibition, coupled with mTOR inhibition, may support a novel therapeutic approach to treat HRAS-mutant cancer. Copyright© 2016 International Institute of Anticancer Research (Dr. John G. Delinassios), All rights reserved.

  4. Processing Technology Selection for Municipal Sewage Treatment Based on a Multi-Objective Decision Model under Uncertainty.

    PubMed

    Chen, Xudong; Xu, Zhongwen; Yao, Liming; Ma, Ning

    2018-03-05

    This study considers the two factors of environmental protection and economic benefits to address municipal sewage treatment. Based on considerations regarding the sewage treatment plant construction site, processing technology, capital investment, operation costs, water pollutant emissions, water quality and other indicators, we establish a general multi-objective decision model for optimizing municipal sewage treatment plant construction. Using the construction of a sewage treatment plant in a suburb of Chengdu as an example, this paper tests the general model of multi-objective decision-making for the sewage treatment plant construction by implementing a genetic algorithm. The results show the applicability and effectiveness of the multi-objective decision model for the sewage treatment plant. This paper provides decision and technical support for the optimization of municipal sewage treatment.

  5. Determining the best treatment for simple bone cyst: a decision analysis.

    PubMed

    Lee, Seung Yeol; Chung, Chin Youb; Lee, Kyoung Min; Sung, Ki Hyuk; Won, Sung Hun; Choi, In Ho; Cho, Tae-Joon; Yoo, Won Joon; Yeo, Ji Hyun; Park, Moon Seok

    2014-03-01

    The treatment of simple bone cysts (SBC) in children varies significantly among physicians. This study examined which procedure is better for the treatment of SBC, using a decision analysis based on current published evidence. A decision tree focused on five treatment modalities of SBC (observation, steroid injection, autologous bone marrow injection, decompression, and curettage with bone graft) were created. Each treatment modality was further branched, according to the presence and severity of complications. The probabilities of all cases were obtained by literature review. A roll back tool was utilized to determine the most preferred treatment modality. One-way sensitivity analysis was performed to determine the threshold value of the treatment modalities. Two-way sensitivity analysis was utilized to examine the joint impact of changes in probabilities of two parameters. The decision model favored autologous bone marrow injection. The expected value of autologous bone marrow injection was 0.9445, while those of observation, steroid injection, decompression, and curettage and bone graft were 0.9318, 0.9400, 0.9395, and 0.9342, respectively. One-way sensitivity analysis showed that autologous bone marrow injection was better than that of decompression for the expected value when the rate of pathologic fracture, or positive symptoms of SBC after autologous bone marrow injection, was lower than 20.4%. In our study, autologous bone marrow injection was found to be the best choice of treatment of SBC. However, the results were sensitive to the rate of pathologic fracture after treatment of SBC. Physicians should consider the possibility of pathologic fracture when they determine a treatment method for SBC.

  6. Conflict and user involvement in drug misuse treatment decision-making: a qualitative study

    PubMed Central

    Fischer, Jan; Neale, Joanne; Bloor, Michael; Jenkins, Nicholas

    2008-01-01

    Background This paper examines client/staff conflict and user involvement in drug misuse treatment decision-making. Methods Seventy-nine in-depth interviews were conducted with new treatment clients in two residential and two community drug treatment agencies. Fifty-nine of these clients were interviewed again after twelve weeks. Twenty-seven interviews were also conducted with staff, who were the keyworkers for the interviewed clients. Results Drug users did not expect, desire or prepare for conflict at treatment entry. They reported few actual conflicts within the treatment setting, but routinely discussed latent conflicts – that is, negative experiences and problematic aspects of current or previous treatment that could potentially escalate into overt disputes. Conflict resulted in a number of possible outcomes, including the premature termination of treatment; staff deciding on the appropriate outcome; the client appealing to the governance structure of the agency; brokered compromise; and staff skilfully eliciting client consent for staff decisions. Conclusion Although the implementation of user involvement in drug treatment decision-making has the potential to trigger high levels of staff-client conflict, latent conflict is more common than overt conflict and not all conflict is negative. Drug users generally want to be co-operative at treatment entry and often adopt non-confrontational forms of covert resistance to decisions about which they disagree. Staff sometimes deploy user involvement as a strategy for managing conflict and soliciting client compliance to treatment protocols. Suggestions for minimising and avoiding harmful conflict in treatment settings are given. PMID:18837989

  7. Preliminary Turkish study of psychiatric in-patients' competence to make treatment decisions.

    PubMed

    Aydin Er, Rahime; Sehiralti, Mine; Aker, Ahmet Tamer

    2013-03-01

    Competence is a prerequisite for informed consent. Patients who are found to be competent are entitled to accept or refuse the proposed treatment. In recent years, there has been an increased interest in studies examining competence for treatment in psychiatric patients. In this study, we aimed to investigate the decision-making competencies of inpatients with a range of psychiatric diseases. This study was carried out at the psychiatry clinic of Kocaeli University Hospital in Turkey from June 2007 to February 2008. Decision-making competence was assessed in 83 patients using the MacArthur Competence Assessment Tool-Treatment (MacCAT-T). The study groups consisted of patients with mood (39.8%), psychotic (27.7%) and anxiety disorders (18.1%), and alcohol/substance addiction (14.5%). There was a significant relation between decision-making competence and demographic and clinical characteristics. Appreciation of the given information was more impaired in psychotic disorder patients than in other patients, but understanding and reasoning of the given information was similar in all groups. These results reveal the importance of evaluating decision-making competencies of psychiatric patients before any treatment or intervention is carried out to ascertain their ability to give informed consent to treatment. Institutional and national policies need to be determined and put into practice relating to the assessment and management of competence in patients with psychiatric disorders. Copyright © 2012 Wiley Publishing Asia Pty Ltd.

  8. Mapping clinical outcomes expectations to treatment decisions: an application to vestibular schwannoma management.

    PubMed

    Cheung, Steven W; Aranda, Derick; Driscoll, Colin L W; Parsa, Andrew T

    2010-02-01

    Complex medical decision making obligates tradeoff assessments among treatment outcomes expectations, but an accessible tool to perform the necessary analysis is conspicuously absent. We aimed to demonstrate methodology and feasibility of adapting conjoint analysis for mapping clinical outcomes expectations to treatment decisions in vestibular schwannoma (VS) management. Prospective. Tertiary medical center and US-based otologists/neurotologists. Treatment preference profiles among VS stakeholders-61 younger and 74 older prospective patients, 61 observation patients, and 60 surgeons-were assessed for the synthetic VS case scenario of a 10-mm tumor in association with useful hearing and normal facial function. Treatment attribute utility. Conjoint analysis attribute levels were set in accordance to the results of a meta-analysis. Forty-five case series were disaggregated to formulate microsurgery facial nerve and hearing preservation outcomes expectations models. Attribute utilities were computed and mapped to the realistic treatment choices of translabyrinthine craniotomy, middle fossa craniotomy, and gamma knife radiosurgery. Among the treatment attributes of likelihoods of causing deafness, temporary facial weakness for 2 months, and incurable cancer within 20 years, and recovery time, permanent deafness was less important to tumor surgeons, and temporary facial weakness was more important to tumor surgeons and observation patients (Wilcoxon rank-sum, p < 0.001). Inverse mapping of preference profiles to realistic treatment choices showed all study cohorts were inclined to choose gamma knife radiosurgery. Mapping clinical outcomes expectations to treatment decisions for a synthetic clinical scenario revealed inhomogeneous drivers of choice selection among study cohorts. Medical decision engines that analyze personal preferences of outcomes expectations for VS and many other diseases may be developed to promote shared decision making among health care stakeholders

  9. Development of a decision analytic model to support decision making and risk communication about thrombolytic treatment.

    PubMed

    McMeekin, Peter; Flynn, Darren; Ford, Gary A; Rodgers, Helen; Gray, Jo; Thomson, Richard G

    2015-11-11

    Individualised prediction of outcomes can support clinical and shared decision making. This paper describes the building of such a model to predict outcomes with and without intravenous thrombolysis treatment following ischaemic stroke. A decision analytic model (DAM) was constructed to establish the likely balance of benefits and risks of treating acute ischaemic stroke with thrombolysis. Probability of independence, (modified Rankin score mRS ≤ 2), dependence (mRS 3 to 5) and death at three months post-stroke was based on a calibrated version of the Stroke-Thrombolytic Predictive Instrument using data from routinely treated stroke patients in the Safe Implementation of Treatments in Stroke (SITS-UK) registry. Predictions in untreated patients were validated using data from the Virtual International Stroke Trials Archive (VISTA). The probability of symptomatic intracerebral haemorrhage in treated patients was incorporated using a scoring model from Safe Implementation of Thrombolysis in Stroke-Monitoring Study (SITS-MOST) data. The model predicts probabilities of haemorrhage, death, independence and dependence at 3-months, with and without thrombolysis, as a function of 13 patient characteristics. Calibration (and inclusion of additional predictors) of the Stroke-Thrombolytic Predictive Instrument (S-TPI) addressed issues of under and over prediction. Validation with VISTA data confirmed that assumptions about treatment effect were just. The C-statistics for independence and death in treated patients in the DAM were 0.793 and 0.771 respectively, and 0.776 for independence in untreated patients from VISTA. We have produced a DAM that provides an estimation of the likely benefits and risks of thrombolysis for individual patients, which has subsequently been embedded in a computerised decision aid to support better decision-making and informed consent.

  10. [The role of multidisciplinary tumor board discussions in treatment decisions].

    PubMed

    Jerusalem, G; Coucke, P

    2011-01-01

    The diagnosis and treatment of cancer is complex. Multidisciplinary tumor board discussions optimise the care of patients suffering from cancer. The most promising and rational treatment is chosen taking into account the opinion from all participants. Quality of life is important if only a palliative approach can be offered. The final decision concerning the treatment will be taken by the patient because he/she has the right to refuse the best treatment for personal reasons.

  11. Jordanian Physicians' Attitudes toward Disclosure of Cancer Information and Patient Participation in Treatment Decision-making.

    PubMed

    Obeidat, Rana; Khrais, Huthaifah I

    2016-01-01

    This study aims to determine the attitude of Jordanian physicians toward disclosure of cancer information, comfort and use of different decision-making approaches, and treatment decision making. A descriptive, comparative research design was used. A convenience sample of 86 Jordanian medical and radiation oncologists and surgeons practicing mainly in oncology was recruited. A modified version of a structured questionnaire was used for data collection. The questionnaire is a valid measure of physicians' views of shared decision making. Almost 91% of all physicians indicated that the doctor should tell the patient and let him/her decide if the family should know of an early-stage cancer diagnosis. Physicians provide abundant information about the extent of the disease, the side effects and benefits of the treatment, and details of the treatment procedures. They also provided less information on the effects of treatment on the sexuality, mood, and family of the patient. Almost 48% of the participating physicians reported using shared decision making as their usual approach for treatment decision making, and 67% reported that they were comfortable with this approach. The main setting of clinical activity was the only factor associated with physicians' usual approach to medical decision making. Moreover, age, years of experience, and main setting of clinical activity were associated with physicians' comfort level with the shared approach. Although Jordanian physicians appreciate patient autonomy, self-determination, and right to information, paternalistic decision making and underuse of the shared decision-making approach persist. Strategies that target both healthcare providers and patients must be employed to promote shared decision making in the Jordanian healthcare system.

  12. Data-Driven Districts.

    ERIC Educational Resources Information Center

    LaFee, Scott

    2002-01-01

    Describes the use of data-driven decision-making in four school districts: Plainfield Public Schools, Plainfield, New Jersey; Palo Alto Unified School District, Palo Alto, California; Francis Howell School District in eastern Missouri, northwest of St. Louis; and Rio Rancho Public Schools, near Albuquerque, New Mexico. Includes interviews with the…

  13. Treatment decision making and adjustment to breast cancer: a longitudinal study.

    PubMed

    Stanton, A L; Estes, M A; Estes, N C; Cameron, C L; Danoff-Burg, S; Irving, L M

    1998-04-01

    This study monitored women (N = 76) with breast cancer from diagnosis through 1 year, and tested constructs from subjective expected utility theory with regard to their ability to predict patients' choice of surgical treatment as well as psychological distress and well-being over time. Women's positive expectancies for the consequences of treatment generally were maintained in favorable perceptions of outcome in several realms (i.e., physician agreement, likelihood of cancer cure or recurrence, self-evaluation, likelihood of additional treatment, partner support for option, attractiveness to partner). Assessed before the surgical decision-making appointment, women's expectancies for consequences of the treatment options, along with age, correctly classified 94% of the sample with regard to election of mastectomy versus breast-conserving procedures. Calculated from the point of decision making to 3 months later, expectancy disconfirmations and value discrepancies concerning particular treatment consequences predicted psychological adjustment 3 months and 1 year after diagnosis.

  14. Defining optimum treatment of patients with pancreatic adenocarcinoma using regret-based decision curve analysis.

    PubMed

    Hernandez, Jonathan M; Tsalatsanis, Athanasios; Humphries, Leigh Ann; Miladinovic, Branko; Djulbegovic, Benjamin; Velanovich, Vic

    2014-06-01

    To use regret decision theory methodology to assess three treatment strategies in pancreatic adenocarcinoma. Pancreatic adenocarcinoma is uniformly fatal without operative intervention. Resection can prolong survival in some patients; however, it is associated with significant morbidity and mortality. Regret theory serves as a novel framework linking both rationality and intuition to determine the optimal course for physicians facing difficult decisions related to treatment. We used the Cox proportional hazards model to predict survival of patients with pancreatic adenocarcinoma and generated a decision model using regret-based decision curve analysis, which integrates both the patient's prognosis and the physician's preferences expressed in terms of regret associated with a certain action. A physician's treatment preferences are indicated by a threshold probability, which is the probability of death/survival at which the physician is uncertain whether or not to perform surgery. The analysis modeled 3 possible choices: perform surgery on all patients; never perform surgery; and act according to the prediction model. The records of 156 consecutive patients with pancreatic adenocarcinoma were retrospectively evaluated by a single surgeon at a tertiary referral center. Significant independent predictors of overall survival included preoperative stage [P = 0.005; 95% confidence interval (CI), 1.19-2.27], vitality (P < 0.001; 95% CI, 0.96-0.98), daily physical function (P < 0.001; 95% CI, 0.97-0.99), and pathological stage (P < 0.001; 95% CI, 3.06-16.05). Compared with the "always aggressive" or "always passive" surgical treatment strategies, the survival model was associated with the least amount of regret for a wide range of threshold probabilities. Regret-based decision curve analysis provides a novel perspective for making treatment-related decisions by incorporating the decision maker's preferences expressed as his or her estimates of benefits and harms associated

  15. Treatment decisions on antidepressants in nursing homes: a qualitative study.

    PubMed

    Iden, Kristina Riis; Hjørleifsson, Stefan; Ruths, Sabine

    2011-12-01

    To explore decision-making on treatment with antidepressants among doctors and nurses in nursing homes. A qualitative study based on interviews with three focus groups comprising eight physicians engaged full time, eight physicians engaged part time, and eight registered nurses, respectively. The interview guide comprised questions on initiating, evaluating, and withdrawing treatment with antidepressants. The interviews were audio-recorded, transcribed, and analysed by systematic text condensation. The first theme was the diagnostic process. The informants expressed difficulty in differentiating between depression and sorrow resulting from loss in old age. Further, the doctors reported that they relied on nurses' observations and rarely carried out systematic diagnostic work and follow-up of patients with depression. The second theme was treatment. Antidepressants were usually the only type of treatment provided, and patients were kept on medication even though staff felt uncertain whether this was effective. The third theme was who really determines the treatment. Registered nurses reported that unskilled and auxiliary nursing staff requested drug treatment, and doctors felt some pressure from the nurses to prescribe antidepressants. This study suggests that the quality of diagnosis and treatment for depression in nursing homes needs to be improved in Norway. Doctors should be more available and take responsibility and leadership in medical decisions.

  16. Race, ethnicity, and shared decision making for hyperlipidemia and hypertension treatment: the DECISIONS survey.

    PubMed

    Ratanawongsa, Neda; Zikmund-Fisher, Brian J; Couper, Mick P; Van Hoewyk, John; Powe, Neil R

    2010-01-01

    Racial/ethnic differences in shared decision making about cardiovascular risk-reduction therapy could affect health disparities. To investigate whether patient race/ethnicity is associated with experiences discussing cardiovascular risk-reduction therapy with health care providers. National sample of US adults identified by random-digit dialing. Cross-sectional survey conducted in November 2006 to May 2007. Among participants in the National Survey of Medical Decisions (DECISIONS), a nationally representative sample of English-speaking US adults aged 40 and older, the authors analyzed respondents who reported discussing hyperlipidemia or hypertension medications with a health care provider in the previous 2 years. In multivariate linear and logistic regressions adjusting for age, gender, income, insurance status, perceived health, and current therapy, they assessed the relation between race/ethnicity (black/Hispanic v. white) and decision making: knowledge, discussion of pros and cons of therapy, discussion of patient preference, who made the final decision, preferred involvement, and confidence in the decision. Of respondents who discussed high cholesterol (N = 738) or hypertension (N = 745) medications, 88% were white, 9% black, and 4% Hispanic. Minorities had lower knowledge scores than whites for hyperlipidemia (42% v. 52%, difference -10% [95% confidence interval (CI): 15, -5], P < 0.001), but not for hypertension. For hyperlipidemia, minorities were more likely than whites to report that the health care provider made the final decision for treatment (31.7% v. 12.3% whites, difference 19.4% [95% CI: 6.9, 33.1%], P < 0.01); this was not true for hypertension. Possible limitations include the small percentage of minorities in the sample and potential recall bias. Minorities considering hyperlipidemia therapy may be less informed about and less involved in the final decision-making process.

  17. Development and initial evaluation of a treatment decision dashboard

    PubMed Central

    2013-01-01

    Background For many healthcare decisions, multiple alternatives are available with different combinations of advantages and disadvantages across several important dimensions. The complexity of current healthcare decisions thus presents a significant barrier to informed decision making, a key element of patient-centered care. Interactive decision dashboards were developed to facilitate decision making in Management, a field marked by similarly complicated choices. These dashboards utilize data visualization techniques to reduce the cognitive effort needed to evaluate decision alternatives and a non-linear flow of information that enables users to review information in a self-directed fashion. Theoretically, both of these features should facilitate informed decision making by increasing user engagement with and understanding of the decision at hand. We sought to determine if the interactive decision dashboard format can be successfully adapted to create a clinically realistic prototype patient decision aid suitable for further evaluation and refinement. Methods We created a computerized, interactive clinical decision dashboard and performed a pilot test of its clinical feasibility and acceptability using a multi-method analysis. The dashboard summarized information about the effectiveness, risks of side effects and drug-drug interactions, out-of-pocket costs, and ease of use of nine analgesic treatment options for knee osteoarthritis. Outcome evaluations included observations of how study participants utilized the dashboard, questionnaires to assess usability, acceptability, and decisional conflict, and an open-ended qualitative analysis. Results The study sample consisted of 25 volunteers - 7 men and 18 women - with an average age of 51 years. The mean time spent interacting with the dashboard was 4.6 minutes. Mean evaluation scores on scales ranging from 1 (low) to 7 (high) were: mechanical ease of use 6.1, cognitive ease of use 6.2, emotional difficulty 2

  18. Development and initial evaluation of a treatment decision dashboard.

    PubMed

    Dolan, James G; Veazie, Peter J; Russ, Ann J

    2013-04-21

    For many healthcare decisions, multiple alternatives are available with different combinations of advantages and disadvantages across several important dimensions. The complexity of current healthcare decisions thus presents a significant barrier to informed decision making, a key element of patient-centered care.Interactive decision dashboards were developed to facilitate decision making in Management, a field marked by similarly complicated choices. These dashboards utilize data visualization techniques to reduce the cognitive effort needed to evaluate decision alternatives and a non-linear flow of information that enables users to review information in a self-directed fashion. Theoretically, both of these features should facilitate informed decision making by increasing user engagement with and understanding of the decision at hand. We sought to determine if the interactive decision dashboard format can be successfully adapted to create a clinically realistic prototype patient decision aid suitable for further evaluation and refinement. We created a computerized, interactive clinical decision dashboard and performed a pilot test of its clinical feasibility and acceptability using a multi-method analysis. The dashboard summarized information about the effectiveness, risks of side effects and drug-drug interactions, out-of-pocket costs, and ease of use of nine analgesic treatment options for knee osteoarthritis. Outcome evaluations included observations of how study participants utilized the dashboard, questionnaires to assess usability, acceptability, and decisional conflict, and an open-ended qualitative analysis. The study sample consisted of 25 volunteers - 7 men and 18 women - with an average age of 51 years. The mean time spent interacting with the dashboard was 4.6 minutes. Mean evaluation scores on scales ranging from 1 (low) to 7 (high) were: mechanical ease of use 6.1, cognitive ease of use 6.2, emotional difficulty 2.7, decision-aiding effectiveness 5

  19. A qualitative exploration of patient and family views and experiences of treatment decision-making in bipolar II disorder.

    PubMed

    Fisher, Alana; Manicavasagar, Vijaya; Sharpe, Louise; Laidsaar-Powell, Rebekah; Juraskova, Ilona

    2018-02-01

    Treatment decision-making in bipolar II disorder (BPII) is challenging, yet the decision support needs of patients and family remain unknown. To explore patient and family perspectives of treatment decision-making in BPII. Semistructured, qualitative interviews were conducted with 28 patients with BPII-diagnosis and 13 family members with experience in treatment decision-making in the outpatient setting. Interviews were audiotaped, transcribed verbatim and analysed thematically using framework methods. Participant demographics, clinical characteristics and preferences for patient decision-making involvement were assessed. Four inter-related themes emerged: (1) Attitudes and response to diagnosis and treatment; (2) Influences on decision-making; (3) The nature and flow of decision-making; (4) Decision support and challenges. Views differed according to patient involvement preferences, time since diagnosis and patients' current mood symptoms. This is the first known study to provide in-depth patient and family insights into the key factors influencing BPII treatment decision-making, and potential improvements and challenges to this process. Findings will inform the development of BPII treatment decision-making resources that better meet the informational and decision-support priorities of end users. This research was partly funded by a Postgraduate Research Grant awarded to the first author by the University of Sydney. No conflicts of interest declared.

  20. The feminist approach in the decision-making process for treatment of women with breast cancer.

    PubMed

    Szumacher, Ewa

    2006-09-01

    The principal aim of this review was to investigate a feminist approach to the decision-making process for women with breast cancer. Empirical research into patient preferences for being informed about and participating in healthcare decisions has some limitations because it is mostly quantitative and designed within the dominant medical culture. Indigenous medical knowledge and alternative medical treatments are not widely accepted because of the lack of confirmed efficacy of such treatments in evidence-based literature. While discussing their treatment options with oncologists, women with breast cancer frequently express many concerns regarding treatment side effects, and sometimes decline conventional treatment when the risks are too high. A search of all relevant literary sources, including Pub-Med, ERIC, Medline, and the Ontario Institute for Studies in Education at the University of Toronto was conducted. The key words for selection of the articles were "feminism," "decision-making," "patients preferences for treatment," and "breast cancer." Fifty-one literary sources were selected. The review was divided into the following themes: (1) limitations of the patient decision-making process in conventional medicine; (2) participation of native North American patients in healthcare decisions; (3) towards a feminist approach to breast cancer; and (4) towards a feminist theory of breast cancer. This article discusses the importance of a feminist approach to the decision-making process for treatment of patients with breast cancer. As the literature suggests, the needs of minority patients are not completely fulfilled in Western medical culture. Introducing feminist theory into evidence-based medicine will help patients to be better informed about treatment choices and will assist them to select treatment according to their own beliefs and values.

  1. Incorporating Science into Decision-Making

    USGS Publications Warehouse

    Karl, Herman A.; Turner, Christine E.

    2003-01-01

    Alan Leshner's Editorial “Public engagement with science” (14 Feb., p. 977) highlights a conundrum: Why is science often ignored in important societal decisions, even as the call for decisions based on sound science escalates? One reason is that decision-making is often driven by a variety of nonscientific, adversarial, and stakeholder dynamics

  2. Measuring patient participation in surgical treatment decision-making from healthcare professionals' perspective.

    PubMed

    Heggland, Liv-Helen; Mikkelsen, Aslaug; Øgaard, Torvald; Hausken, Kjell

    2014-02-01

    To develop, empirical test, and validate an instrument measuring patient participation in surgical treatment decision-making from healthcare professionals' perspective. Since the advent of New Public Management in many Western countries, patient participation in healthcare decision-making has been considered to be a best practice. A common notion is that well-educated and well-informed public want to choose their own treatments and providers and want to ask questions about the quality of their health services. Survey. A self-report-measuring instrument was designed and administered to 620 healthcare professionals. Items were developed, validated and tested by 451 nurses and physicians working in six surgical wards in a University Hospital in Norway. A 16-item scale with the following four dimensions was developed: information dissemination, formulation of options, integration of information and control. Factor analysis procedures and reliability testing were performed. A one-way, between-groups analysis of variance was conducted to compare doctors' and nurses' opinions on four dimensions of patient participation in surgical treatment decision-making. This article shows that patient participation in surgical treatment decision-making can be measured by a 16-item scale and four distinct dimensions. The analysis demonstrated a reasonable level of construct validity and reliability. Nurses and physicians have a positive attitude towards patient participation overall, but the two groups differ in the extent to which they accept the idea of patient participation in treatment decision-making. The instrument can be a tool for managers and healthcare professionals in the implementation of patient participation in clinical practice. Data from the instrument can be useful to identify health services being provided and what areas that could strengthen patient participation. © 2013 Blackwell Publishing Ltd.

  3. Factors influencing treatment decision-making for maintaining or extracting compromised teeth.

    PubMed

    Lang-Hua, Bich Hue; McGrath, Colman P J; Lo, Edward C M; Lang, Niklaus P

    2014-01-01

    To evaluate treatment decision-making with respect to maintaining periodontally compromised teeth among dentists with or without postgraduate qualifications in implant dentistry. A series of patient scenarios with varying degrees of periodontal disease levels was presented to dental practitioners. Practitioners' decision-making outcome was determined, and intention to retain the compromised teeth was analyzed in bivariate and regression analyses (accounting for postgraduate implant training, gender, years in dental practice, and implant placement experience). This study involved 30 dental practitioners with postgraduate implant qualifications (GDPP), 33 dental practitioners without postgraduate implant qualifications (GDP), and 27 practitioners undergoing training for postgraduate implant qualifications (GDPT). Variations in treatment decision-making were evident between the three groups. Differences in treatment approaches to retaining compromised teeth were apparent. Furthermore, variations in rehabilitation of extracted scenarios existed in terms of use of implant and number of implants need for rehabilitation. Accounting for dentist and practice factors in regression analyses, GDPP/GDPT were three times as likely to retain periodontally compromised upper molar, with or without pain, compared to GDP (without pain OR 3.10, 95%CI 1.04, 10.62 P = 0.04; with pain OR 3.08, 95%CI 1.09, 8.14 P = 0.03). Variations in treatment decision-making with respect to retaining periodontally compromised teeth exist between dental practitioners with and those without postgraduate training in implant dentistry. Furthermore differences in management approaches in how they would retain the teeth or rehabilitate the dental arch were apparent. © 2013 John Wiley & Sons A/S. Published by Blackwell Publishing Ltd.

  4. A systematic review of factors influencing older adults' decision to accept or decline cancer treatment.

    PubMed

    Puts, Martine T E; Tapscott, Brianne; Fitch, Margaret; Howell, Doris; Monette, Johanne; Wan-Chow-Wah, Doreen; Krzyzanowska, Monika; Leighl, Nathasha B; Springall, Elena; Alibhai, Shabbir M

    2015-02-01

    Cancer is a disease that affects mostly older adults. Older adults often have other chronic health conditions in addition to cancer and may have different health priorities, both of which can impact cancer treatment decision-making. However, no systematic review of factors that influence an older cancer patient's decision to accept or decline cancer treatment has been conducted. Systematic review of the literature published between inception of the databases and February 2013. Dutch, English, French or German articles reporting on qualitative studies, cross-sectional, longitudinal observational or intervention studies describing factors why older adults accepted or declined cancer treatment examining actual treatment decisions were included. Ten databases were used. Two independent reviewers reviewed manuscripts and performed data abstraction using a standardized form and the quality of studies was assessed with the Mixed Methods Appraisal Tool. Of 17,343 abstracts reviewed, a total of 38 studies were included. The majority focused on breast and prostate cancer treatment decisions and most studies used a qualitative design. Important factors for accepting treatment were convenience and success rate of treatment, seeing necessity of treatment, trust in the physician and following the physician's recommendation. Factors important for declining cancer treatment included concerns about the discomfort of the treatments, fear of side effects and transportation difficulties. Although the reasons why older adults with cancer accepted or declined treatment varied considerably, the most consistent determinant was physician recommendation. Further studies using large, representative samples and exploring decision-making incorporating health literacy and comorbidity are needed. Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

  5. Factors influencing cancer treatment decision-making by indigenous peoples: a systematic review.

    PubMed

    Tranberg, Rona; Alexander, Susan; Hatcher, Deborah; Mackey, Sandra; Shahid, Shaouli; Holden, Lynda; Kwok, Cannas

    2016-02-01

    We aim to systematically review studies that identify factors influencing cancer treatment decision-making among indigenous peoples. Following the outline suggested by the Preferred Reporting Items for Systematic Review and Meta-analysis, a rigorous systematic review and meta-synthesis were conducted of factors that influence cancer treatment decision-making by indigenous peoples. A total of 733 articles were retrieved from eight databases and a manual search. After screening the titles and abstracts, the full text of 26 articles were critically appraised, resulting in five articles that met inclusion criteria for the review. Because the five articles to be reviewed were qualitative studies, the Critical Appraisal Skills Program toolkit was used to evaluate the methodological quality. A thematic synthesis was employed to identify common themes across the studies. Multiple socio-economic and cultural factors were identified that all had the potential to influence cancer treatment decision-making by indigenous people. These factors were distilled into four themes: spiritual beliefs, cultural influences, communication and existing healthcare systems and structures. Although existing research identified multiple factors influencing decision-making, this review identified that quality studies in this domain are scarce. There is scope for further investigation, both into decision-making factors and into the subsequent design of culturally appropriate programmes and services that meet the needs of indigenous peoples. Copyright © 2015 John Wiley & Sons, Ltd.

  6. A pathway to personalization of integrated treatment: informatics and decision science in psychiatric rehabilitation.

    PubMed

    Spaulding, William; Deogun, Jitender

    2011-09-01

    Personalization of treatment is a current strategic goal for improving health care. Integrated treatment approaches such as psychiatric rehabilitation benefit from personalization because they involve matching diverse arrays of treatment options to individually unique profiles of need. The need for personalization is evident in the heterogeneity of people with severe mental illness and in the findings of experimental psychopathology. One pathway to personalization lies in analysis of the judgments and decision making of human experts and other participants as they respond to complex circumstances in pursuit of treatment and rehabilitation goals. Such analysis is aided by computer simulation of human decision making, which in turn informs development of computerized clinical decision support systems. This inspires a research program involving concurrent development of databases, domain ontology, and problem-solving algorithms, toward the goal of personalizing psychiatric rehabilitation through human collaboration with intelligent cyber systems. The immediate hurdle is to demonstrate that clinical decisions beyond diagnosis really do affect outcome. This can be done by supporting the hypothesis that a human treatment team with access to a reasonably comprehensive clinical database that tracks patient status and treatment response over time achieves better outcome than a treatment team without such access, in a controlled experimental trial. Provided the hypothesis can be supported, the near future will see prototype systems that can construct an integrated assessment, formulation, and rehabilitation plan from clinical assessment data and contextual information. This will lead to advanced systems that collaborate with human decision makers to personalize psychiatric rehabilitation and optimize outcome.

  7. Treatment decision-making by men with localized prostate cancer: the influence of personal factors.

    PubMed

    Berry, Donna L; Ellis, William J; Woods, Nancy Fugate; Schwien, Christina; Mullen, Kristin H; Yang, Claire

    2003-01-01

    For many men with localized prostate cancer, there is no definite answer or unequivocal choice regarding treatment modality. This high-stakes treatment decision is made in the context of great uncertainty. The purpose of this study is to systematically document meaningful and relevant aspects of treatment decision-making reported by men with localized prostate cancer. Focus groups and individual interviews were conducted with 44 men who were within 6 months of a diagnosis of localized prostate cancer. Using content analysis and grounded theory analytic techniques, major aspects and processes of men's treatment decision making are identified and described. The participants reported their experiences beginning with influential personal history factors, followed by detailed descriptions of information gathering and the important influence of expected treatment outcomes and other individuals' cancer histories and/or shared opinions. Twenty of the 44 (45%) participants relied heavily on the influence of another's opinion or history to finalize a decision, yet only 10 of the 44 (22.7%) reported this individual to be their physician. A common process, "making the best choice for me" was explicated. Clinicians assume that men are making rational treatment decisions based on reliable information, yet this study documents a different reality. Patient education about medical therapies and the patients' own medical factors is not enough. A clinic visit dialogue that brings personal factors to the conversation along with medical factors can guide a man to making his "best choice" for localized prostate cancer.

  8. Legal aspects of therapist-driven protocols. Do therapist-driven protocols place therapists in a legally compromising position?

    PubMed

    Meehan, M J

    1996-03-01

    The recent introduction of therapist-driven protocols has given the appearance of restricting the professional judgment of respiratory therapists with decision-tree robotics while contemporaneously catapulting them into the practice of medicine. This is happening in the midst of a spiraling litigation climate. This article examines the legal aspects--from malpractice to licensure--of this exciting new practice known as therapist-driven respiratory protocols.

  9. Individualised and personalised QALYs in exceptional treatment decisions.

    PubMed

    Heale, Warwick

    2016-10-01

    Quality-adjusted life years (QALYs) are used to determine how to allocate resources to health programmes or to treatments within those programmes in order to gain maximum utility from those limited, shared healthcare resources. However, if we use those same population- based QALYs when faced with individual treatment decisions we may act unjustly in relation to that individual or in relation to the wider population. A treatment with a population-based incremental cost-effectiveness ratio beyond our willingness to pay threshold may be denied to a patient even if, for that particular patient, the QALYs gained for the cost would fall within that threshold. When considering individual cases, it is proposed that we should take an individualised approach to the cost of treatment and response to treatment ('individualised QALYs') and a personalised approach to the valuation of health states ('personalised QALYs'). Only if we do this, can we maximise utility and give the patient a fair opportunity to benefit. Individualised and personalised QALYs also allow us to express patient choice and religious treatment preferences in terms of utility. Individualised and personalised QALYs are explored in the context of individual funding requests in the National Health Service. In preference to the concept of 'clinical exceptionality', individualised and personalised QALYs provide the potential for better and more consistent decisions and improved utility. Rather than treating unequal patients as if they were equal, individualised and personalised QALYs promote fair and unequal access to resources for some of our most unequal patients. Potential challenges are also considered. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

  10. Data-Driven Geospatial Visual Analytics for Real-Time Urban Flooding Decision Support

    NASA Astrophysics Data System (ADS)

    Liu, Y.; Hill, D.; Rodriguez, A.; Marini, L.; Kooper, R.; Myers, J.; Wu, X.; Minsker, B. S.

    2009-12-01

    Urban flooding is responsible for the loss of life and property as well as the release of pathogens and other pollutants into the environment. Previous studies have shown that spatial distribution of intense rainfall significantly impacts the triggering and behavior of urban flooding. However, no general purpose tools yet exist for deriving rainfall data and rendering them in real-time at the resolution of hydrologic units used for analyzing urban flooding. This paper presents a new visual analytics system that derives and renders rainfall data from the NEXRAD weather radar system at the sewershed (i.e. urban hydrologic unit) scale in real-time for a Chicago stormwater management project. We introduce a lightweight Web 2.0 approach which takes advantages of scientific workflow management and publishing capabilities developed at NCSA (National Center for Supercomputing Applications), streaming data-aware semantic content management repository, web-based Google Earth/Map and time-aware KML (Keyhole Markup Language). A collection of polygon-based virtual sensors is created from the NEXRAD Level II data using spatial, temporal and thematic transformations at the sewershed level in order to produce persistent virtual rainfall data sources for the animation. Animated color-coded rainfall map in the sewershed can be played in real-time as a movie using time-aware KML inside the web browser-based Google Earth for visually analyzing the spatiotemporal patterns of the rainfall intensity in the sewershed. Such system provides valuable information for situational awareness and improved decision support during extreme storm events in an urban area. Our further work includes incorporating additional data (such as basement flooding events data) or physics-based predictive models that can be used for more integrated data-driven decision support.

  11. Instrumental relating and treatment decision making among older women with early-stage breast cancer.

    PubMed

    Pieters, Huibrie C; Heilemann, Marysue V; Maliski, Sally; Dornig, Katrina; Mentes, Jan

    2012-01-01

    To understand how women aged 70 years and older who had recently undergone treatment for early-stage breast cancer experienced treatment decision making. Qualitative, descriptive study guided by grounded theory. PARTICIPANTS' houses and apartments in southern California. 18 women, aged 70-94 years, who completed treatment for primary, early-stage breast cancer 3-15 months prior (X = 8.5 months). Twenty-eight semistructured personal interviews that lasted, on average, 104 minutes. Data were collected and analyzed using constructivist grounded theory. Gero-oncology perspective of treatment decision making. A major finding was that the power of relating spontaneously was used as a vehicle to connect with others. That process, which the authors called "instrumental relating," was grounded in a foundation of mutual caring for themselves and others. Within that mutual caring, the women participated in three ways of relating to share in treatment decision making: obtaining information, interpreting healthcare providers, and determining the trustworthiness of their providers. Those ways of relating were effortlessly and simultaneously employed. The women used their expert abilities of relating to get the factual and emotional information that they needed. That information supported what the women perceived to be decisions that were shared and effective. The findings are the first evidence of the importance of relating as a key factor in decision making from the personal perspective of older women with early-stage breast cancer. This work serves as a springboard for future clinical interventions and research opportunities to individualize communication and enhance effective decision making for older patients who wish to participate in their cancer care.

  12. Factors influencing the surgical decision for the treatment of degenerative lumbar stenosis in a preference-based shared decision-making process.

    PubMed

    Kim, Ho-Joong; Park, Jae-Young; Kang, Kyoung-Tak; Chang, Bong-Soon; Lee, Choon-Ki; Yeom, Jin S

    2015-02-01

    In a preference-based shared decision-making system, several subjective and/or objective factors such as pain severity, degree of disability, and the radiological severity of canal stenosis may influence the final surgical decision for the treatment of lumbar spinal stenosis (LSS). However, our understanding of the shared decision-making process and the significance of each factor remain primitive. In the present study, we aimed to investigate which factors influence the surgical decision for the treatment of LSS when using a preference-based, shared decision-making process. We included 555 patients, aged 45-80 years, who used a preference-based shared decision-making process and were treated conservatively or surgically for chronic leg and/or back pain caused by LSS from April 2012 to December 2012. Univariate and multivariable-adjusted logistic regression analyses were used to assess the association of surgical decision making with age, sex, body mass index, symptom duration, radiologic stenotic grade, Oswestry Disability Index (ODI), visual analog scale (VAS) scores for back and leg pain, Short Form-36 (SF-36) subscales, and motor weakness. In univariate analysis, the following variables were associated with a higher odds of a surgical decision for LSS: male sex; the VAS score for leg pain; ODI; morphological stenotic grades B, C, and D; motor weakness; and the physical function, physical role, bodily pain, social function, and emotional role of the SF-36 subscales. Multivariate analysis revealed that male sex, ODI, morphological stenotic grades C and D, and motor weakness were significantly associated with a higher possibility of a surgical decision. Motor weakness, male sex, morphological stenotic grade, and the amount of disability are critical factors leading to a surgical decision for LSS when using a preference-based shared decision-making process.

  13. The influence of patients' decisions on treatment planning in restorative dentistry.

    PubMed

    Kalsi, Jagdip S; Hemmings, Kenneth

    2013-11-01

    As part of treatment planning, options are presented to patients by dentists. An informal discussion takes place involving a cost-benefit analysis and a treatment plan is agreed. Evidence-based dentistry takes into account the best available literature, clinical experience and patient factors to guide the dentist. Dentists exert considerable influence on which treatment modality is selected. This paper focuses on the importance of patient factors which lead to less than ideal, clinically acceptable, treatment plans that nevertheless give patient satisfaction over the long term. Though no universally accepted healthcare model exists for restorative dentistry, patients' decisions are most influenced by their relationship with their dentist over factors such as time, access and cost. Letters should be sent to patients clarifying the nature of all proposed options, including advantages and disadvantages, complications, success rates, biological and financial costs and what happens if no treatment is carried out. Many psychological and social determinants influence patients'values and decision-making when planning for restorative dentistry. These lead to a treatment plan agreed between the patient and the dentist. Often an element of compromise is considered acceptable to both parties when the evidence would suggest an alternative treatment to be preferable.

  14. Decision Support and Shared Decision Making About Active Surveillance Versus Active Treatment Among Men Diagnosed with Low-Risk Prostate Cancer: a Pilot Study.

    PubMed

    Myers, Ronald E; Leader, Amy E; Censits, Jean Hoffman; Trabulsi, Edouard J; Keith, Scott W; Petrich, Anett M; Quinn, Anna M; Den, Robert B; Hurwitz, Mark D; Lallas, Costas D; Hegarty, Sarah E; Dicker, Adam P; Zeigler-Johnson, Charnita M; Giri, Veda N; Ayaz, Hasan; Gomella, Leonard G

    2018-02-01

    This study aimed to explore the effects of a decision support intervention (DSI) and shared decision making (SDM) on knowledge, perceptions about treatment, and treatment choice among men diagnosed with localized low-risk prostate cancer (PCa). At a multidisciplinary clinic visit, 30 consenting men with localized low-risk PCa completed a baseline survey, had a nurse-mediated online DS session to clarify preference for active surveillance (AS) or active treatment (AT), and met with clinicians for SDM. Participants also completed a follow-up survey at 30 days. We assessed change in treatment knowledge, decisional conflict, and perceptions and identified predictors of AS. At follow-up, participants exhibited increased knowledge (p < 0.001), decreased decisional conflict (p < 0.001), and more favorable perceptions of AS (p = 0.001). Furthermore, 25 of the 30 participants (83 %) initiated AS. Increased family and clinician support predicted this choice (p < 0.001). DSI/SDM prepared patients to make an informed decision. Perceived support of the decision facilitated patient choice of AS.

  15. Algorithms for optimizing the treatment of depression: making the right decision at the right time.

    PubMed

    Adli, M; Rush, A J; Möller, H-J; Bauer, M

    2003-11-01

    Medication algorithms for the treatment of depression are designed to optimize both treatment implementation and the appropriateness of treatment strategies. Thus, they are essential tools for treating and avoiding refractory depression. Treatment algorithms are explicit treatment protocols that provide specific therapeutic pathways and decision-making tools at critical decision points throughout the treatment process. The present article provides an overview of major projects of algorithm research in the field of antidepressant therapy. The Berlin Algorithm Project and the Texas Medication Algorithm Project (TMAP) compare algorithm-guided treatments with treatment as usual. The Sequenced Treatment Alternatives to Relieve Depression Project (STAR*D) compares different treatment strategies in treatment-resistant patients.

  16. The Impact of Shared Decision-making Interventions on Prostate Cancer Treatment Decision-making

    Cancer.gov

    Angie Fagerlin, PhD, is a Professor and Chair in the Department of Population Health Sciences at the University of Utah and a Research Scientist at the Salt Lake City VA. She is the current President of the Society of Medical Decision Making. Dr. Fagerlin’s training is in experimental psychology, primarily in the areas of cognitive and social psychology.  Her research focuses on testing methods for communicating medical data to patients and providers (e.g., the risks and benefits of cancer treatment) and the development and testing of decision support interventions.  Her recent work is testing the impact of patient decision aids on patient-physician communication.  Additionally, she is testing multiple methods for communicating about genetic testing and infectious diseases (e.g., the Zika virus, Ebola, influenza).  Her research has been funded by NCI, NIH, VA, PCORI, and the European Union. If you are a person with a disability and require an assistive device, services or other reasonable accommodations to participate in this activity, please contact the Cancer Prevention Fellowship Program at (240) 276-5626 at least one week in advance of the lecture date to discuss your accommodation needs.

  17. Religious Coping and Types and Sources of Information Used in Making Prostate Cancer Treatment Decisions

    PubMed Central

    Bowie, Janice V.; Bell, Caryn N.; Ewing, Altovise; Kinlock, Ballington; Ezema, Ashley; Thorpe, Roland J.; LaVeist, Thomas A.

    2017-01-01

    Treatment experiences for prostate cancer survivors can be challenging and dependent on many clinical and psychosocial factors. One area that is less understood is the information needs and sources men utilize. Among these is the influence of religion as a valid typology and the value it may have on treatment decisions. The objective of this study was to assess the relationship between race, religion, and cancer treatment decisions in African American men compared with White men. Data were from the Diagnosis and Decisions in Prostate Cancer Treatment Outcomes Study that consisted of 877 African American and White men. The main dependent variables sought respondents’ use of resources or advisors when making treatment decisions. Questions also assessed men perceptions of prostate cancer from the perspective of religious coping. After adjusting for age, marital status, education, and insurance status, race differences in the number of sources utilized were partially mediated by cancer was a punishment from God (β = −0.46, SE = 0.012, p < .001), cancer was a test of faith (β = −0.49, SE = 0.013, p < .001), and cancer can be cured with enough prayer (β = −0.47, SE = 0.013, p < .001). Similarly, race differences in the number of advisors utilized in making the treatment decision were partially mediated by cancer was a punishment from God (β = −0.39, SE = 0.014, p = .006), and cancer was a test of faith (β = −0.39, SE = 0.014, p = .006). Religious views on prostate cancer may play an important role in explaining race differences in information used and the number of advisors utilized for treatment decision making for prostate cancer. PMID:28193130

  18. Fuzzy decision-making framework for treatment selection based on the combined QUALIFLEX-TODIM method

    NASA Astrophysics Data System (ADS)

    Ji, Pu; Zhang, Hong-yu; Wang, Jian-qiang

    2017-10-01

    Treatment selection is a multi-criteria decision-making problem of significant concern in the medical field. In this study, a fuzzy decision-making framework is established for treatment selection. The framework mitigates information loss by introducing single-valued trapezoidal neutrosophic numbers to denote evaluation information. Treatment selection has multiple criteria that remarkably exceed the alternatives. In consideration of this characteristic, the framework utilises the idea of the qualitative flexible multiple criteria method. Furthermore, it considers the risk-averse behaviour of a decision maker by employing a concordance index based on TODIM (an acronym in Portuguese of interactive and multi-criteria decision-making) method. A sensitivity analysis is performed to illustrate the robustness of the framework. Finally, a comparative analysis is conducted to compare the framework with several extant methods. Results indicate the advantages of the framework and its better performance compared with the extant methods.

  19. Autonomy and dependence: a discussion paper on decision-making in teenagers and young adults undergoing cancer treatment.

    PubMed

    Davies, Jane; Kelly, Daniel; Hannigan, Ben

    2015-09-01

    A discussion which aims to explore the diversity of decision-making during teenage and young adult cancer treatment. The discussion will be related to the concepts of autonomy, dependence and decision-making in this age group. The experience of cancer involves a significant series of treatment decisions. However, other non-treatment decisions also have to be made which can relate to any aspect of everyday life. These decisions occur against the backdrop of young people's disease experience. Discussion paper. A literature search for the period 1990-2013 was undertaken. This included searching the following databases: Cumulative Index for Nursing and Allied Health Literature (CINAHL), SCOPUS, Medline, DARE, Applied Social Sciences Index and Abstracts (ASSIA), (Psych Info) and The Cochrane Library. There is a lack of evidence into the experience of everyday decisions made by young people during cancer treatment. This may affect them in the form of unmet needs that nurses, or other professionals, fail to appreciate. Further exploration of how teenagers and young adults experience the range and process of decision-making during cancer treatment could be useful in helping to provide effective supportive care for this age group. © 2015 John Wiley & Sons Ltd.

  20. Characteristics of Treatment Decisions to Address Challenging Behaviors in Children with Autism Spectrum Disorder.

    PubMed

    Anixt, Julia S; Meinzen-Derr, Jareen; Estridge, Halley; Smith, Laura; Brinkman, William B

    2018-05-01

    To describe the characteristics of treatment decisions to address challenging behaviors in children with autism spectrum disorder (ASD). Parents of children aged 4 to 15 years with ASD seen in a developmental behavioral pediatric (DBP) clinic completed validated measures to characterize their child's behaviors and their own level of stress. Parents reported their treatment priority before the visit. During the visit, we assessed shared decision making (SDM) using the Observing Patient Involvement (OPTION) scale and alignment of the clinician's treatment plan with the parent's priority. Before and after the visit, parents rated their uncertainty about the treatment plan using the Decisional Conflict Scale (DCS). We calculated descriptive statistics for the measures. Fifty-four families participated. Children were a mean (SD) age of 8.8 (3.3) years, and 87% were male. Children had a variety of behavioral challenges, and parents reported high levels of stress. Commonly reported parent treatment priorities were hyperactivity, tantrums, anxiety, and poor social skills. Levels of SDM were low, with a mean (SD) OPTION score of 24.5 (9.7). Parent priorities were addressed in 65% of treatment plans. Approximately 69% of parents had elevated DCS scores before the visit. Although levels of decisional conflict were lower after the visit compared with before the visit (p < 0.03), 46% of parents continued to report high scores on the DCS. Parents leave DBP visits with feelings of uncertainty about treatment decisions and with treatment plans that do not always address their priorities. SDM interventions hold promise to improve the quality of ASD treatment decisions.

  1. The vexing problem of defining the meaning, role and measurement of values in treatment decision-making.

    PubMed

    Charles, Cathy; Gafni, Amiram

    2014-03-01

    Two international movements, evidence-based medicine (EBM) and shared decision-making (SDM) have grappled for some time with issues related to defining the meaning, role and measurement of values/preferences in their respective models of treatment decision-making. In this article, we identify and describe unresolved problems in the way that each movement addresses these issues. The starting point for this discussion is that at least two essential ingredients are needed for treatment decision-making: research information about treatment options and their potential benefits and risks; and the values/preferences of participants in the decision-making process. Both the EBM and SDM movements have encountered difficulties in defining the meaning, role and measurement of values/preferences in treatment decision-making. In the EBM model of practice, there is no clear and consistent definition of patient values/preferences and no guidance is provided on how to integrate these into an EBM model of practice. Methods advocated to measure patient values are also problematic. Within the SDM movement, patient values/preferences tend to be defined and measured in a restrictive and reductionist way as patient preferences for treatment options or attributes of options, while broader underlying value structures are ignored. In both models of practice, the meaning and expected role of physician values in decision-making are unclear. Values clarification exercises embedded in patient decision aids are suggested by SDM advocates to identify and communicate patient values/preferences for different treatment outcomes. Such exercises have the potential to impose a particular decision-making theory and/or process onto patients, which can change the way they think about and process information, potentially impeding them from making decisions that are consistent with their true values. The tasks of clarifying the meaning, role and measurement of values/preferences in treatment decision

  2. Social Capital in Data-Driven Community College Reform

    ERIC Educational Resources Information Center

    Kerrigan, Monica Reid

    2015-01-01

    The current rhetoric around using data to improve community college student outcomes with only limited research on data-driven decision-making (DDDM) within postsecondary education compels a more comprehensive understanding of colleges' capacity for using data to inform decisions. Based on an analysis of faculty and administrators' perceptions and…

  3. Patients' preferences for participation in treatment decision-making at the end of life: qualitative interviews with advanced cancer patients.

    PubMed

    Brom, Linda; Pasman, H Roeline W; Widdershoven, Guy A M; van der Vorst, Maurice J D L; Reijneveld, Jaap C; Postma, Tjeerd J; Onwuteaka-Philipsen, Bregje D

    2014-01-01

    Patients are often encouraged to participate in treatment decision-making. Most studies on this subject focus on choosing between different curative treatment types. In the last phase of life treatment decisions differ as they often put more emphasis on weighing quantity against quality of life, such as whether or not to start treatment aimed at life prolongation but with the possibility of side effects. This study aimed to obtain insight into cancer patients' preferences and the reasons for patients' preferred role in treatment decision-making at the end of life. 28 advanced cancer patients were included at the start of their first line treatment. In-depth interviews were held prior to upcoming treatment decisions whether or not to start a life prolonging treatment. The Control Preference Scale was used to start discussing the extent and type of influence patients wanted to have concerning upcoming treatment decision-making. Interviews were audio taped and transcribed. All patients wanted their physician to participate in the treatment decision-making process. The extent to which patients themselves preferred to participate seemed to depend on how patients saw their own role or assessed their own capabilities for participating in treatment decision-making. Patients foresaw a shift in the preferred level of participation to a more active role depending in the later phase of illness when life prolongation would become more limited and quality of life would become more important. Patients vary in how much involvement they would like to have in upcoming treatment decision-making. Individual patients' preferences may change in the course of the illness, with a shift to more active participation in the later phases. Communication about patients' expectations, wishes and preferences for participation in upcoming treatment decisions is of great importance. An approach in which these topics are openly discussed would be beneficial.

  4. Treatment decision-making among Canadian youth with severe haemophilia: a qualitative approach.

    PubMed

    Lane, S J; Walker, I; Chan, A K; Heddle, N M; Poon, M-C; Minuk, L; Jardine, L; Arnold, E; Sholapur, N; Webert, K E

    2015-03-01

    The first generation of young men using primary prophylaxis is coming of age. Important questions regarding the management of severe haemophilia with prophylaxis persist: Can prophylaxis be stopped? At what age? To what effect? Can the regimen be individualized? The reasons why some individuals discontinue or poorly comply with prophylaxis are not well understood. These issues have been explored using predominantly quantitative research approaches, yielding little insight into treatment decision-making from the perspectives of persons with haemophilia (PWH). Positioning the PWH as a source of expertise about their condition and its management, we undertook a qualitative study: (i) to explore and understand the lived experience of young men with severe haemophilia A or B and (ii) to identify the factors and inter-relationships between factors that affect young men's treatment decision-making. This manuscript reports primarily on the second objective. A modified Straussian, grounded theory methodology was used for data collection (interviews) and preliminary analysis. The study sample, youth aged 15-29, with severe haemophilia A or B, was chosen selectively and recruited through three Canadian Haemophilia Treatment Centres. We found treatment decision-making to be multi-factorial and used the Framework method to analyze the inter-relationships between factors. A typology of four distinct approaches to treatment was identified: lifestyle routine prophylaxis, situational prophylaxis, strict routine prophylaxis and no prophylaxis. Standardized treatment definitions (i.e.: 'primary' and 'secondary', 'prophylaxis') do not adequately describe the ways participants treat. Naming the variation of approaches documented in this study can improve PWH/provider communication, treatment planning and education. © 2014 John Wiley & Sons Ltd.

  5. Patient and family communication during consultation visits: The effects of a decision aid for treatment decision-making for localized prostate cancer.

    PubMed

    Song, Lixin; Tyler, Christina; Clayton, Margaret F; Rodgiriguez-Rassi, Eleanor; Hill, Latorya; Bai, Jinbing; Pruthi, Raj; Bailey, Donald E

    2017-02-01

    To analyze the effects of a decision aid on improving patients' and family members' information giving and question asking during consultations for prostate cancer treatment decision-making. This study is a secondary analysis of archived audio-recorded real-time consultation visits with participants from a randomized clinical trial. Participants were randomly assigned into three groups: TD-intervention targeted patient-only; TS-intervention targeted patients and family members; and control-a handout on staying healthy during treatment. We conducted content analysis using a researcher-developed communication coding system. Using SAS 9.3, we conducted Chi-square/Fisher's exact test to examine whether information giving and question asking among patients and family members varied by groups when discussing different content/topics. Compared with those in the TS and control groups, significantly higher percentages of participants in the TD group demonstrated information giving in discussing topics about diagnosis, treatment options, risks and benefits, and preferences; and engaged in question asking when discussing diagnosis, watchful waiting/active surveillance, risks and benefits, and preferences for treatment impacts. Information support and communication skills training for patients were effective in improving communication during treatment decision-making consultations. Providing information about prostate cancer and communication skills training empower patients and their family members. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  6. Patient and family communication during consultation visits: The effects of a decision aid for treatment decision-making for localized prostate cancer

    PubMed Central

    Song, Lixin; Tyler, Christina; Clayton, Margaret F.; Rodgiriguez-Rassi, Eleanor; Hill, Latorya; Bai, Jinbing; Pruthi, Raj; Bailey, Donald E.

    2016-01-01

    Objective To analyze the effects of a decision aid on improving patients’ and family members’ information giving and question asking during consultations for prostate cancer treatment decision-making. Methods This study is a secondary analysis of archived audio-recorded real-time consultation visits with participants from a randomized clinical trial. Participants were randomly assigned into three groups: TD—intervention targeted patient-only; TS—intervention targeted patients and family members; and control—a handout on staying healthy during treatment. We conducted content analysis using a researcher-developed communication coding system. Using SAS 9.3, we conducted Chi-square/Fisher’s exact test to examine whether information giving and question asking among patients and family members varied by groups when discussing different content/topics. Results Compared with those in the TS and control groups, significantly higher percentages of participants in the TD group demonstrated information giving in discussing topics about diagnosis, treatment options, risks and benefits, and preferences; and engaged in question asking when discussing diagnosis, watchful waiting/active surveillance, risks and benefits, and preferences for treatment impacts. Conclusion Information support and communication skills training for patients were effective in improving communication during treatment decision-making consultations. Practice implications Providing information about prostate cancer and communication skills training empower patients and their family members. PMID:27692491

  7. Attunement and alignment of people with schizophrenia and their preferred alternative decision-makers: An exploratory pilot study comparing treatment and research decisions.

    PubMed

    Roberts, Laura Weiss; Kim, Jane Paik

    2015-12-01

    Schizophrenia is a serious mental disorder that may affect the decisional capacity, and as a consequence, preferred alternative decision-makers may be engaged to help with clinical care and research-related choices. Ideally, alternative decision-makers will seek to make decisions that fit with the views and preferences of the ill individual. Few data exist, however, comparing the views of alternative decision-makers to those of individuals with schizophrenia. We conducted a written survey with individuals with schizophrenia living in a community setting, and a parallel survey with the person whom the ill individual identified as being a preferred alternative decision-maker. Complete data were obtained on 20 pairs (n = 40, total). Domains queried included (a) burden, happiness, and safety of the ill individual and of his or her family in treatment and research decisions and (b) importance of ethical principles in every day life. Two-sided paired t-tests and graphical summaries were used to compare responses. Individuals with schizophrenia and their linked preferred alternative decision-makers were attuned on four of six aspects of treatment decision-making and on all six aspects of research decision-making that we queried. The preferred alternative decision-makers overall demonstrated attunement to the views of the ill individuals in this small study. Ill individuals and their preferred alternative decision-makers were aligned in their views of ethically-salient aspects of every day life. These novel findings suggest that alternative decision-makers identified by ill individuals may be able to guide choices based on an accurate understanding of the ill individuals' views and values. Copyright © 2015 Elsevier Ltd. All rights reserved.

  8. Influence of analytical bias and imprecision on the number of false positive results using Guideline-Driven Medical Decision Limits.

    PubMed

    Hyltoft Petersen, Per; Klee, George G

    2014-03-20

    Diagnostic decisions based on decision limits according to medical guidelines are different from the majority of clinical decisions due to the strict dichotomization of patients into diseased and non-diseased. Consequently, the influence of analytical performance is more critical than for other diagnostic decisions where much other information is included. The aim of this opinion paper is to investigate consequences of analytical quality and other circumstances for the outcome of "Guideline-Driven Medical Decision Limits". Effects of analytical bias and imprecision should be investigated separately and analytical quality specifications should be estimated accordingly. Use of sharp decision limits doesn't consider biological variation and effects of this variation are closely connected with the effects of analytical performance. Such relationships are investigated for the guidelines for HbA1c in diagnosis of diabetes and in risk of coronary heart disease based on serum cholesterol. The effects of a second sampling in diagnosis give dramatic reduction in the effects of analytical quality showing minimal influence of imprecision up to 3 to 5% for two independent samplings, whereas the reduction in bias is more moderate and a 2% increase in concentration doubles the percentage of false positive diagnoses, both for HbA1c and cholesterol. An alternative approach comes from the current application of guidelines for follow-up laboratory tests according to clinical procedure orders, e.g. frequency of parathyroid hormone requests as a function of serum calcium concentrations. Here, the specifications for bias can be evaluated from the functional increase in requests for increasing serum calcium concentrations. In consequence of the difficulties with biological variation and the practical utilization of concentration dependence of frequency of follow-up laboratory tests already in use, a kind of probability function for diagnosis as function of the key-analyte is proposed

  9. Tools to aid post-wildfire assessment and erosion-mitigation treatment decisions

    Treesearch

    Peter R. Robichaud; Louise E. Ashmun

    2013-01-01

    A considerable investment in post-fire research over the past decade has improved our understanding of wildfire effects on soil, hydrology, erosion and erosion-mitigation treatment effectiveness. Using this new knowledge, we have developed several tools to assist land managers with post-wildfire assessment and treatment decisions, such as prediction models, research...

  10. Automated control of hierarchical systems using value-driven methods

    NASA Technical Reports Server (NTRS)

    Pugh, George E.; Burke, Thomas E.

    1990-01-01

    An introduction is given to the Value-driven methodology, which has been successfully applied to solve a variety of difficult decision, control, and optimization problems. Many real-world decision processes (e.g., those encountered in scheduling, allocation, and command and control) involve a hierarchy of complex planning considerations. For such problems it is virtually impossible to define a fixed set of rules that will operate satisfactorily over the full range of probable contingencies. Decision Science Applications' value-driven methodology offers a systematic way of automating the intuitive, common-sense approach used by human planners. The inherent responsiveness of value-driven systems to user-controlled priorities makes them particularly suitable for semi-automated applications in which the user must remain in command of the systems operation. Three examples of the practical application of the approach in the automation of hierarchical decision processes are discussed: the TAC Brawler air-to-air combat simulation is a four-level computerized hierarchy; the autonomous underwater vehicle mission planning system is a three-level control system; and the Space Station Freedom electrical power control and scheduling system is designed as a two-level hierarchy. The methodology is compared with rule-based systems and with other more widely-known optimization techniques.

  11. A prospective cohort study of treatment decision-making for prostate cancer following participation in a multidisciplinary clinic.

    PubMed

    Hurwitz, Lauren M; Cullen, Jennifer; Elsamanoudi, Sally; Kim, Daniel J; Hudak, Jane; Colston, Maryellen; Travis, Judith; Kuo, Huai-Ching; Porter, Christopher R; Rosner, Inger L

    2016-05-01

    Patients diagnosed with prostate cancer (PCa) are presented with several treatment options of similar efficacy but varying side effects. Understanding how and why patients make their treatment decisions, as well as the effect of treatment choice on long-term outcomes, is critical to ensuring effective, patient-centered care. This study examined treatment decision-making in a racially diverse, equal-access, contemporary cohort of patients with PCa counseled on treatment options at a multidisciplinary clinic. A prospective cohort study was initiated at the Walter Reed National Military Medical Center (formerly Walter Reed Army Medical Center) in 2006. Newly diagnosed patients with PCa were enrolled before attending a multidisciplinary clinic. Patients completed surveys preclinic and postclinic to assess treatment preferences, reasons for treatment choice, and decisional regret. As of January 2014, 925 patients with PCa enrolled in this study. Surgery (54%), external radiation (20%), and active surveillance (12%) were the most common primary treatments for patients with low- and intermediate-risk PCa, whereas patients with high-risk PCa chose surgery (34%) or external radiation with neoadjuvant hormones (57%). Treatment choice differed by age at diagnosis, race, comorbidity status, and calendar year in both univariable and multivariable analyses. Patients preferred to play an active role in the decision-making process and cited doctors at the clinic as the most helpful source of treatment-related information. Almost all patients reported satisfaction with their decision. This is one of the first prospective cohort studies to examine treatment decision-making in an equal-access, multidisciplinary clinic setting. Studies of this cohort would aid in understanding and improving the PCa decision-making process. Published by Elsevier Inc.

  12. Physician, Patient and Contextual Factors Affecting Treatment Decisions in Older Adults with Cancer: A Literature Review

    PubMed Central

    Tariman, J. D.; Berry, D. L.; Cochrane, B.; Doorenbos, A.; Schepp, K.

    2010-01-01

    Purpose/Objectives To review physician, patient, and contextual factors that affect treatment decision-making in older adults diagnosed with cancer and relate these factors to theoretical models of decision-making. Data Sources PubMed (1966-April 2010), PsycINFO (1967-April 2010) and CINAHL (1982-April 2010) databases were searched to access relevant medical, psychological and nursing literature. Data Synthesis Physician factors in treatment decisions include physician personal beliefs and values, expertise, practice type, perception of lowered life expectancy, medical factors, power, and communication style. Patient factors include personal beliefs and values, ethnicity, decisional control preferences, previous health-related experience, perception of the decision-making process, and personal factors. Contextual factors include availability of caregiver, lack of insurance, poor financial status, and geographical barrier. The interplay of physician, patient, and contextual factors are not well understood. Existing models of decision-making are not sufficient to explicate TDM process in older adults diagnosed with cancer. Conclusions Clinical studies in older adult patient population using a longitudinal and prospective design are needed to examine real-time interplay of patient, physician, and contextual factors and to better understand how these divergent factors influenced actual treatment decisions. Implications for Nursing Oncology nurses can advocate for a patient’s autonomy during TDM by coaching them to seek evidence-based discussion of various treatment options, benefits and risks assessments, and truthful discussion of the probability of success for each treatment option from their physicians. Oncology nurses must promote an informed treatment decisions that are consistent with a patient’s personal preference and values within the limits of the patient’s personal contexts. PMID:22201670

  13. Can Classification Tree Analyses Help Improve Decision Making About Treatments for Depression and Anxiety Disorders? A Preliminary Investigation

    PubMed Central

    Rhodes, Louisa; Naumann, Ulrike M.

    2011-01-01

    Objective: To identify how decisions about treatment are being made in secondary services for anxiety disorders and depression and, specifically, whether it was possible to predict the decisions to refer for evidence-based treatments. Method: Post hoc classification tree analysis was performed using a sample from an audit on implementation of the National Institute for Health and Clinical Excellence Guidelines for Depression and Anxiety Disorders. The audit was of 5 teams offering secondary care services; they included psychiatrists, psychologists, community psychiatric nurses, social workers, dual-diagnosis workers, and vocational workers. The patient sample included all of those with a primary problem of depression (n = 56) or an anxiety disorder (n = 16) who were offered treatment from February 16 to April 3, 2009. The outcome variable was whether or not evidence-based treatments were offered, and the predictor variables were presenting problem, risk, comorbid problem, social problems, and previous psychiatric history. Results: Treatment decisions could be more accurately predicted for anxiety disorders (93% correct) than for depression (55%). For anxiety disorders, the presence or absence of social problems was a good predictor for whether evidence-based or non–evidence-based treatments were offered; 44% (4/9) of those with social problems vs 100% (6/6) of those without social problems were offered evidence-based treatments. For depression, patients’ risk rating had the largest impact on treatment decisions, although no one variable could be identified as individually predictive of all treatment decisions. Conclusions: Treatment decisions were generally consistent for anxiety disorders but more idiosyncratic for depression, making the development of a decision-making model very difficult for depression. The lack of clarity of some terms in the clinical guidelines and the more complex nature of depression could be factors contributing to this difficulty

  14. Development of a shared decision-making tool to assist patients and clinicians with decisions on oral anticoagulant treatment for atrial fibrillation.

    PubMed

    Kaiser, Karen; Cheng, Wendy Y; Jensen, Sally; Clayman, Marla L; Thappa, Andrew; Schwiep, Frances; Chawla, Anita; Goldberger, Jeffrey J; Col, Nananda; Schein, Jeff

    2015-12-01

    Decision aids (DAs) are increasingly used to operationalize shared decision-making (SDM) but their development is not often described. Decisions about oral anticoagulants (OACs) for atrial fibrillation (AF) involve a trade-off between lowering stroke risk and increasing OAC-associated bleeding risk, and consideration of how treatment affects lifestyle. The benefits and risks of OACs hinge upon a patient's risk factors for stroke and bleeding and how they value these outcomes. We present the development of a DA about AF that estimates patients' risks for stroke and bleeding and assesses their preferences for outcomes. Based on a literature review and expert discussions, we identified stroke and major bleeding risk prediction models and embedded them into risk assessment modules. We identified the most important factors in choosing OAC treatment (warfarin used as the default reference OAC) through focus group discussions with AF patients who had used warfarin and clinician interviews. We then designed preference assessment and introductory modules accordingly. We integrated these modules into a prototype AF SDM tool and evaluated its usability through interviews. Our tool included four modules: (1) introduction to AF and OAC treatment risks and benefits; (2) stroke risk assessment; (3) bleeding risk assessment; and (4) preference assessment. Interactive risk calculators estimated patient-specific stroke and bleeding risks; graphics were developed to communicate these risks. After cognitive interviews, the content was improved. The final AF tool calculates patient-specific risks and benefits of OAC treatment and couples these estimates with patient preferences to improve clinical decision-making. The AF SDM tool may help patients choose whether OAC treatment is best for them and represents a patient-centered, integrative approach to educate patients on the benefits and risks of OAC treatment. Future research is needed to evaluate this tool in a real-world setting. The

  15. A Satellite Data-Driven, Client-Server Decision Support Application for Agricultural Water Resources Management

    NASA Technical Reports Server (NTRS)

    Johnson, Lee F.; Maneta, Marco P.; Kimball, John S.

    2016-01-01

    Water cycle extremes such as droughts and floods present a challenge for water managers and for policy makers responsible for the administration of water supplies in agricultural regions. In addition to the inherent uncertainties associated with forecasting extreme weather events, water planners need to anticipate water demands and water user behavior in a typical circumstances. This requires the use decision support systems capable of simulating agricultural water demand with the latest available data. Unfortunately, managers from local and regional agencies often use different datasets of variable quality, which complicates coordinated action. In previous work we have demonstrated novel methodologies to use satellite-based observational technologies, in conjunction with hydro-economic models and state of the art data assimilation methods, to enable robust regional assessment and prediction of drought impacts on agricultural production, water resources, and land allocation. These methods create an opportunity for new, cost-effective analysis tools to support policy and decision-making over large spatial extents. The methods can be driven with information from existing satellite-derived operational products, such as the Satellite Irrigation Management Support system (SIMS) operational over California, the Cropland Data Layer (CDL), and using a modified light-use efficiency algorithm to retrieve crop yield from the synergistic use of MODIS and Landsat imagery. Here we present an integration of this modeling framework in a client-server architecture based on the Hydra platform. Assimilation and processing of resource intensive remote sensing data, as well as hydrologic and other ancillary information occur on the server side. This information is processed and summarized as attributes in water demand nodes that are part of a vector description of the water distribution network. With this architecture, our decision support system becomes a light weight 'app' that

  16. A satellite data-driven, client-server decision support application for agricultural water resources management

    NASA Astrophysics Data System (ADS)

    Maneta, M. P.; Johnson, L.; Kimball, J. S.

    2016-12-01

    Water cycle extremes such as droughts and floods present a challenge for water managers and for policy makers responsible for the administration of water supplies in agricultural regions. In addition to the inherent uncertainties associated with forecasting extreme weather events, water planners need to anticipate water demands and water user behavior in atypical circumstances. This requires the use decision support systems capable of simulating agricultural water demand with the latest available data. Unfortunately, managers from local and regional agencies often use different datasets of variable quality, which complicates coordinated action. In previous work we have demonstrated novel methodologies to use satellite-based observational technologies, in conjunction with hydro-economic models and state of the art data assimilation methods, to enable robust regional assessment and prediction of drought impacts on agricultural production, water resources, and land allocation. These methods create an opportunity for new, cost-effective analysis tools to support policy and decision-making over large spatial extents. The methods can be driven with information from existing satellite-derived operational products, such as the Satellite Irrigation Management Support system (SIMS) operational over California, the Cropland Data Layer (CDL), and using a modified light-use efficiency algorithm to retrieve crop yield from the synergistic use of MODIS and Landsat imagery. Here we present an integration of this modeling framework in a client-server architecture based on the Hydra platform. Assimilation and processing of resource intensive remote sensing data, as well as hydrologic and other ancillary information occur on the server side. This information is processed and summarized as attributes in water demand nodes that are part of a vector description of the water distribution network. With this architecture, our decision support system becomes a light weight `app` that

  17. The impact of cancer diagnosis and treatment on employment, income, treatment decisions and financial assistance and their relationship to socioeconomic and disease factors.

    PubMed

    Paul, Christine; Boyes, Allison; Hall, Alix; Bisquera, Alessandra; Miller, Annie; O'Brien, Lorna

    2016-11-01

    The financial impact of cancer diagnosis and treatment can be considerable to individuals and their households, leading to changes in treatment decision making. This study aimed to quantify effects on income and employment; describe how cost-related factors influence treatment decision making and need for financial assistance; and to identify patient sociodemographic factors associated with treatment decision making, use of financial assistance and financial effects. A cross-sectional self-report questionnaire was administered to oncology outpatients from two hospitals in Australia: one regional and one metropolitan. Of 255 participants, 67 % indicated a change in employment and 63 % of those reported reduced household income since their diagnosis. Travel (15 %), loss of income (14 %) and cost of treatments (11 %) were commonly cited factors influencing treatment decision making. Seventy-four percent of participants reported that they did not access financial assistance, with more than a third (37 %) of those being unaware that financial assistance was available. Being currently not employed and more recent diagnosis were associated with a reduced income since diagnosis. After adjusting for employment status and age, patients with private health insurance had higher odds of reporting that financial factors had influenced treatment decision making (OR = 2.5). Unemployment is a major driver of the financial impact of cancer. The costs of treatment may be particularly challenging for those with private health insurance who are more likely to be treated in the private health system where out-of-pocket costs are greater. Improved access to financial assistance is required to better avoid potential inequities.

  18. Barriers and Promoters to Participation in the Era of Shared Treatment Decision-Making.

    PubMed

    McCarter, Sarah P; Tariman, Joseph D; Spawn, Nadia; Mehmeti, Enisa; Bishop-Royse, Jessica; Garcia, Ima; Hartle, Lisa; Szubski, Katharine

    2016-10-01

    This study aimed to identify the barriers and promoters for participation in cancer treatment decision in the era of shared decision-making (SDM) process. A qualitative design was utilized. Nineteen nurses and 11 nurse practitioners from oncology inpatient and outpatient settings participated in semi-structured interviews. Data were analyzed using directed content analysis. The findings include practice barrier, patient barrier, institutional policy barrier, professional barrier, scope of practice barrier, insurance coverage barrier, and administrative barrier. Multidisciplinary team approach, having a nursing voice during SDM, high level of knowledge of the disease and treatment, and personal valuation of SDM participation were perceived as promoters. Oncology nurses and nurse practitioners face many barriers to their participation during SDM. Organizational support and system-wide culture of SDM are essential to achieve better cancer treatment decisions outcome. Additional studies are needed to determine the factors that can promote more participation among nurses and nurse practitioners. © The Author(s) 2016.

  19. A Neural Signature Encoding Decisions under Perceptual Ambiguity

    PubMed Central

    Sun, Sai; Yu, Rongjun

    2017-01-01

    Abstract People often make perceptual decisions with ambiguous information, but it remains unclear whether the brain has a common neural substrate that encodes various forms of perceptual ambiguity. Here, we used three types of perceptually ambiguous stimuli as well as task instructions to examine the neural basis for both stimulus-driven and task-driven perceptual ambiguity. We identified a neural signature, the late positive potential (LPP), that encoded a general form of stimulus-driven perceptual ambiguity. In addition to stimulus-driven ambiguity, the LPP was also modulated by ambiguity in task instructions. To further specify the functional role of the LPP and elucidate the relationship between stimulus ambiguity, behavioral response, and the LPP, we employed regression models and found that the LPP was specifically associated with response latency and confidence rating, suggesting that the LPP encoded decisions under perceptual ambiguity. Finally, direct behavioral ratings of stimulus and task ambiguity confirmed our neurophysiological findings, which could not be attributed to differences in eye movements either. Together, our findings argue for a common neural signature that encodes decisions under perceptual ambiguity but is subject to the modulation of task ambiguity. Our results represent an essential first step toward a complete neural understanding of human perceptual decision making. PMID:29177189

  20. A Neural Signature Encoding Decisions under Perceptual Ambiguity.

    PubMed

    Sun, Sai; Yu, Rongjun; Wang, Shuo

    2017-01-01

    People often make perceptual decisions with ambiguous information, but it remains unclear whether the brain has a common neural substrate that encodes various forms of perceptual ambiguity. Here, we used three types of perceptually ambiguous stimuli as well as task instructions to examine the neural basis for both stimulus-driven and task-driven perceptual ambiguity. We identified a neural signature, the late positive potential (LPP), that encoded a general form of stimulus-driven perceptual ambiguity. In addition to stimulus-driven ambiguity, the LPP was also modulated by ambiguity in task instructions. To further specify the functional role of the LPP and elucidate the relationship between stimulus ambiguity, behavioral response, and the LPP, we employed regression models and found that the LPP was specifically associated with response latency and confidence rating, suggesting that the LPP encoded decisions under perceptual ambiguity. Finally, direct behavioral ratings of stimulus and task ambiguity confirmed our neurophysiological findings, which could not be attributed to differences in eye movements either. Together, our findings argue for a common neural signature that encodes decisions under perceptual ambiguity but is subject to the modulation of task ambiguity. Our results represent an essential first step toward a complete neural understanding of human perceptual decision making.

  1. Removal of fluorine from contaminated soil by electrokinetic treatment driven by solar energy.

    PubMed

    Zhou, Ming; Zhu, Shufa; Liu, Yana; Wang, Xuejian

    2013-08-01

    Instead of direct current power supply, a series of electrokinetic remediation experiments driven by solar energy on fluorine-contaminated soil were conducted in a self-made electrolyzer, in order to reduce energy expenditure of electrokinetic remediation. After the 12-day electrokinetic remediation driven by solar energy, the removal efficiency of fluorine was 22.3%, and electrokinetic treatment had an impact on changes in partitioning of fluorine in soil. It proved that the combination of electrokinetics and solar energy was feasible and effective to some extent for the remediation of fluorine-contaminated soil. Meanwhile, the experimental results also indicated that the electromigration was a more dominant transport mechanism for the removal of fluorine from contaminated soil than electroosmosis, and the weather condition was the important factor in affecting the removal efficiency.

  2. The judicial role in life-sustaining medical treatment decisions.

    PubMed

    Hafemeister, T L; Keilitz, I; Banks, S M

    1991-01-01

    Although there has been speculation regarding the pervasiveness and nature of judicial decisions regarding life-sustaining medical treatment (LSMT), no attempt has been made to empirically assess their prevalence or the issues they address. An exploratory study utilizing a mail survey of a nationwide random sample (N = 905) of state trial court judges was conducted to provide initial information regarding this decision-making process. Twenty-two percent of the responding judges had heard at least one LSMT case, and judicial review did not appear endemic to particular states. The number of judges hearing LSMT cases dropped from 1975 to 1981 but has increased since then. Three major issues predominate: patient competency, appointment of a surrogate decisionmaker, and resolution of the ultimate issue of forgoing LSMT. Relatively few cases either contested a prior directive's validity or involved imposing sanctions for instituting or forgoing LSMT. Although subject to different interpretations, the results suggest the courts are having a significant impact on certain aspects of the LSMT decision-making process. However, the infrequency with which any one judge is called upon to make an LSMT decision causes concern about the judiciary's ability to respond in a timely and appropriate manner. With their potential for a profound effect on the actions of health care providers, greater attention to this decision-making process is warranted.

  3. Physiology-driven adaptive virtual reality stimulation for prevention and treatment of stress related disorders.

    PubMed

    Cosić, Kresimir; Popović, Sinisa; Kukolja, Davor; Horvat, Marko; Dropuljić, Branimir

    2010-02-01

    The significant proportion of severe psychological problems related to intensive stress in recent large peacekeeping operations underscores the importance of effective methods for strengthening the prevention and treatment of stress-related disorders. Adaptive control of virtual reality (VR) stimulation presented in this work, based on estimation of the person's emotional state from physiological signals, may enhance existing stress inoculation training (SIT). Physiology-driven adaptive VR stimulation can tailor the progress of stressful stimuli delivery to the physiological characteristics of each individual, which is indicated for improvement in stress resistance. Following an overview of physiology-driven adaptive VR stimulation, its major functional subsystems are described in more detail. A specific algorithm of stimuli delivery applicable to SIT is outlined.

  4. Staging laparoscopy improves treatment decision-making for advanced gastric cancer.

    PubMed

    Hu, Yan-Feng; Deng, Zhen-Wei; Liu, Hao; Mou, Ting-Yu; Chen, Tao; Lu, Xin; Wang, Da; Yu, Jiang; Li, Guo-Xin

    2016-02-07

    To evaluate the clinical value of staging laparoscopy in treatment decision-making for advanced gastric cancer (GC). Clinical data of 582 patients with advanced GC were retrospectively analyzed. All patients underwent staging laparoscopy. The strength of agreement between computed tomography (CT) stage, endoscopic ultrasound (EUS) stage, laparoscopic stage, and final stage were determined by weighted Kappa statistic (Kw). The number of patients with treatment decision-changes was counted. A χ(2) test was used to analyze the correlation between peritoneal metastasis or positive cytology and clinical characteristics. Among the 582 patients, the distributions of pathological T classifications were T2/3 (153, 26.3%), T4a (262, 45.0%), and T4b (167, 28.7%). Treatment plans for 211 (36.3%) patients were changed after staging laparoscopy was performed. Two (10.5%) of 19 patients in M1 regained the opportunity for potential radical resection by staging laparoscopy. Unnecessary laparotomy was avoided in 71 (12.2%) patients. The strength of agreement between preoperative T stage and final T stage was in almost perfect agreement (Kw = 0.838; 95% confidence interval (CI): 0.803-0.872; P < 0.05) for staging laparoscopy; compared with CT and EUS, which was in fair agreement. The strength of agreement between preoperative M stage and final M stage was in almost perfect agreement (Kw = 0.990; 95% CI: 0.977-1.000; P < 0.05) for staging laparoscopy; compared with CT, which was in slight agreement. Multivariate analysis revealed that tumor size (≥ 40 mm), depth of tumor invasion (T4b), and Borrmann type (III or IV) were significantly correlated with either peritoneal metastasis or positive cytology. The best performance in diagnosing P-positive was obtained when two or three risk factors existed. Staging laparoscopy can improve treatment decision-making for advanced GC and decrease unnecessary exploratory laparotomy.

  5. Impulsivity and decision-making in obsessive-compulsive disorder after effective deep brain stimulation or treatment as usual.

    PubMed

    Grassi, Giacomo; Figee, Martijn; Ooms, Pieter; Righi, Lorenzo; Nakamae, Takashi; Pallanti, Stefano; Schuurman, Rick; Denys, Damiaan

    2018-06-04

    Impulsivity and impaired decision-making have been proposed as obsessive-compulsive disorder (OCD) endophenotypes, running in OCD and their healthy relatives independently of symptom severity and medication status. Deep brain stimulation (DBS) targeting the ventral limb of the internal capsule (vALIC) and the nucleus accumbens (Nacc) is an effective treatment strategy for treatment-refractory OCD. The effectiveness of vALIC-DBS for OCD has been linked to its effects on a frontostriatal network that is also implicated in reward, impulse control, and decision-making. While vALIC-DBS has been shown to restore reward dysfunction in OCD patients, little is known about the effects of vALIC-DBS on impulsivity and decision-making. The aim of the study was to compare cognitive impulsivity and decision-making between OCD patients undergoing effective vALIC-DBS or treatment as usual (TAU), and healthy controls. We used decision-making performances under ambiguity on the Iowa Gambling Task and reflection impulsivity on the Beads Task to compare 20 OCD patients effectively treated with vALIC-DBS, 40 matched OCD patients undergoing effective TAU (medication and/or cognitive behavioural therapy), and 40 healthy subjects. Effective treatment was defined as at least 35% improvement of OCD symptoms. OCD patients, irrespective of treatment modality (DBS or TAU), showed increased reflection impulsivity and impaired decision-making compared to healthy controls. No differences were observed between OCD patients treated with DBS or TAU. OCD patients effectively treated with vALIC-DBS or TAU display increased reflection impulsivity and impaired decision-making independent of the type of treatment.

  6. Life-sustaining treatment decisions in Portuguese intensive care units: a national survey of intensive care physicians.

    PubMed

    Cardoso, Teresa; Fonseca, Teresa; Pereira, Sofia; Lencastre, Luís

    2003-12-01

    The objective of the present study was to evaluate the opinion of Portuguese intensive care physicians regarding 'do-not-resuscitate' (DNR) orders and decisions to withhold/withdraw treatment. A questionnaire was sent to all physicians working on a full-time basis in all intensive care units (ICUs) registered with the Portuguese Intensive Care Society. A total of 266 questionnaires were sent and 175 (66%) were returned. Physicians from 79% of the ICUs participated. All participants stated that DNR orders are applied in their units, and 98.3% stated that decisions to withhold treatment and 95.4% stated that decisions to withdraw treatment are also applied. About three quarters indicated that only the medical group makes these decisions. Fewer than 15% of the responders stated that they involve nurses, 9% involve patients and fewer than 11% involve patients' relatives in end-of-life decisions. Physicians with more than 10 years of clinical experience more frequently indicated that they involve nurses in these decisions (P < 0.05), and agnostic/atheist doctors more frequently involve patients' relatives in decisions to withhold/withdraw treatment (P < 0.05). When asked about who they thought should be involved, more than 26% indicated nurses, more than 35% indicated the patient and more than 25% indicated patients' relatives. More experienced doctors more frequently felt that nurses should be involved (P < 0.05), and male doctors more frequently stated that patients' relatives should be involved in DNR orders (P < 0.05). When a decision to withdraw treatment is made, 76.8% of 151 respondents indicated that they would initiate palliative care; no respondent indicated that they would administer drugs to accelerate the expected outcome. The probability of survival from the acute episode and patients' wishes were the most important criteria influencing end-of-life decisions. These decisions are made only by the medical group in most of the responding ICUs, with little

  7. Using decision analysis to assess comparative clinical efficacy of surgical treatment of unstable ankle fractures.

    PubMed

    Michelson, James D

    2013-11-01

    The development of a robust treatment algorithm for ankle fractures based on well-established stability criteria has been shown to be prognostic with respect to treatment and outcomes. In parallel with the development of improved understanding of the biomechanical rationale of ankle fracture treatment has been an increased emphasis on assessing the effectiveness of medical and surgical interventions. The purpose of this study was to investigate the use of using decision analysis in the assessment of the cost effectiveness of operative treatment of ankle fractures based on the existing clinical data in the literature. Using the data obtained from a previous structured review of the ankle fracture literature, decision analysis trees were constructed using standard software. The decision nodes for the trees were based on ankle fracture stability criteria previously published. The outcomes were assessed by calculated Quality-Adjusted Life Years (QALYs) assigned to achieving normal ankle function, developing posttraumatic arthritis, or sustaining a postoperative infection. Sensitivity analysis was undertaken by varying the patient's age, incidence of arthritis, and incidence or infection. Decision analysis trees captured the essential aspects of clinical decision making in ankle fracture treatment in a clinically useful manner. In general, stable fractures yielded better outcomes with nonoperative treatment, whereas unstable fractures had better outcomes with surgery. These were consistent results over a wide range of postoperative infection rates. Varying the age of the patient did not qualitatively change the results. Between the ages of 30 and 80 years, surgery yielded higher expected QALYs than nonoperative care for unstable fractures, and generated lower QALYs than nonoperative care for stable fractures. Using local cost estimates for operative and nonoperative treatment, the incremental cost of surgery for unstable fractures was less than $40,000 per QALY (the

  8. Community Oncologists' Decision-Making for Treatment of Older Patients With Cancer.

    PubMed

    Mohile, Supriya G; Magnuson, Allison; Pandya, Chintan; Velarde, Carla; Duberstein, Paul; Hurria, Arti; Loh, Kah Poh; Wells, Megan; Plumb, Sandy; Gilmore, Nikesha; Flannery, Marie; Wittink, Marsha; Epstein, Ronald; Heckler, Charles E; Janelsins, Michelle; Mustian, Karen; Hopkins, Judith O; Liu, Jane; Peri, Srihari; Dale, William

    2018-03-01

    Background: This study's objectives were to describe community oncologists' beliefs about and confidence with geriatric care and to determine whether geriatric-relevant information influences cancer treatment decisions. Methods: Community oncologists were recruited to participate in 2 multisite geriatric oncology trials. Participants shared their beliefs about and confidence in caring for older adults. They were also asked to make a first-line chemotherapy recommendation (combination vs single-agent vs no chemotherapy) for a hypothetical vignette of an older patient with advanced pancreatic cancer. Each oncologist received one randomly chosen vignette that varied on 3 variables: age (72/84 years), impaired function (yes/no), and cognitive impairment (yes/no). Other patient characteristics were held constant. Logistic regression models were used to identify associations between oncologist/vignette-patient characteristics and treatment decisions. Results: Oncologist response rate was 61% (n=305/498). Most oncologists agreed that "the care of older adults with cancer needs to be improved" (89%) and that "geriatrics training is essential" (72%). However, <25% were "very confident" in recognizing dementia or conducting a fall risk or functional assessment, and only 23% reported using the geriatric assessment in clinic. Each randomly varied patient characteristic was independently associated with the decision to treat: younger age (adjusted odds ratio [aOR], 5.01; 95% CI, 2.73-9.20), normal cognition (aOR, 5.42; 95% CI, 3.01-9.76), and being functionally intact (aOR, 3.85; 95% CI, 2.12-7.00). Accounting for all vignettes across all scenarios, 161 oncologists (52%) said they would offer chemotherapy. All variables were independently associated with prescribing single-agent over combination chemotherapy (older age: aOR, 3.22; 95% CI 1.43-7.25, impaired cognition: aOR, 3.13; 95% CI, 1.36-7.20, impaired function: aOR, 2.48; 95% CI, 1.12-5.72). Oncologists' characteristics

  9. Impact of a web-based prostate cancer treatment decision aid on patient-reported decision process parameters: results from the Prostate Cancer Patient Centered Care trial.

    PubMed

    Cuypers, Maarten; Lamers, Romy E D; Kil, Paul J M; van de Poll-Franse, Lonneke V; de Vries, Marieke

    2018-05-12

    To compare patients' evaluation of the treatment decision-making process in localized prostate cancer between counseling that included an online decision aid (DA) and standard counseling. Eighteen Dutch hospitals were randomized to DA counseling (n = 235) or the control group with standard counseling (n = 101) in a pragmatic, cluster randomized controlled trial. The DA was provided to patients at, or soon after diagnosis. Decisional conflict, involvement, knowledge, and satisfaction with information were assessed with a questionnaire after treatment decision-making. Anxiety and depression served as covariates. The levels of decision involvement and conflict were comparable between patients in both groups. Patients with a DA felt more knowledgeable but scored equally well on a knowledge test as patients without a DA. Small significant negative effects were found on satisfaction with information and preparation for decision-making. A preference for print over online and depression and anxiety symptoms was negatively associated with satisfaction and conflict scores in the DA group. The DA aimed to support shared decision-making, while outcomes for a majority of DA users were comparable to patients who received standard counseling. Patients, who are less comfortable with the online DA format or experience anxiety or depression symptoms, could require more guidance toward shared decision-making. To evaluate long-term DA effects, follow-up evaluation on treatment satisfaction and decisional regret will be done.

  10. The Role of Health Care Provider and Partner Decisional Support in Patients' Cancer Treatment Decision-Making Satisfaction.

    PubMed

    Palmer-Wackerly, Angela L; Krieger, Janice L; Rhodes, Nancy D

    2017-01-01

    Cancer patients rely on multiple sources of support when making treatment decisions; however, most research studies examine the influence of health care provider support while the influence of family member support is understudied. The current study fills this gap by examining the influence of health care providers and partners on decision-making satisfaction. In a cross-sectional study via an online Qualtrics panel, we surveyed cancer patients who reported that they had a spouse or romantic partner when making cancer treatment decisions (n = 479). Decisional support was measured using 5-point, single-item scales for emotional support, informational support, informational-advice support, and appraisal support. Decision-making satisfaction was measured using Holmes-Rovner and colleagues' (1996) Satisfaction With Decision Scale. We conducted a mediated regression analysis to examine treatment decision-making satisfaction for all participants and a moderated mediation analysis to examine treatment satisfaction among those patients offered a clinical trial. Results indicated that partner support significantly and partially mediated the relationship between health care provider support and patients' decision-making satisfaction but that results did not vary by enrollment in a clinical trial. This study shows how and why decisional support from partners affects communication between health care providers and cancer patients.

  11. Physicians' perspectives on communication and decision making in clinical encounters for treatment of latent tuberculosis infection.

    PubMed

    Dobler, Claudia C; Bosnic-Anticevich, Sinthia; Armour, Carol L

    2018-01-01

    The aim of the study was to explore the views of tuberculosis (TB) physicians on treatment of latent TB infection (LTBI), focusing on decision making and communication in clinical practice. 20 Australian TB physicians participated in a semistructured interview in person or over the telephone. Interviews were recorded, transcribed and analysed thematically. The study identified challenges that physicians face when discussing treatment for LTBI with patients. These included difficulties explaining the concept of latency (in particular to patients from culturally and linguistically diverse backgrounds) and providing guidance to patients while still framing treatment decisions as a choice. Tailored estimates of the risk of developing TB and the risk of developing an adverse effect from LTBI treatment were considered the most important information for decision making and discussion with patients. Physicians acknowledged that there is a significant amount of unwarranted treatment variation, which they attributed to the lack of evidence about the risk-benefit balance of LTBI treatment in certain scenarios and guidelines that refer to the need for case-by-case decision making in many instances. In order to successfully implement LTBI treatment at a clinical level, consideration should be given to research on how to best address communication challenges arising in clinical encounters.

  12. Physicians' perspectives on communication and decision making in clinical encounters for treatment of latent tuberculosis infection

    PubMed Central

    Bosnic-Anticevich, Sinthia; Armour, Carol L.

    2018-01-01

    The aim of the study was to explore the views of tuberculosis (TB) physicians on treatment of latent TB infection (LTBI), focusing on decision making and communication in clinical practice. 20 Australian TB physicians participated in a semistructured interview in person or over the telephone. Interviews were recorded, transcribed and analysed thematically. The study identified challenges that physicians face when discussing treatment for LTBI with patients. These included difficulties explaining the concept of latency (in particular to patients from culturally and linguistically diverse backgrounds) and providing guidance to patients while still framing treatment decisions as a choice. Tailored estimates of the risk of developing TB and the risk of developing an adverse effect from LTBI treatment were considered the most important information for decision making and discussion with patients. Physicians acknowledged that there is a significant amount of unwarranted treatment variation, which they attributed to the lack of evidence about the risk–benefit balance of LTBI treatment in certain scenarios and guidelines that refer to the need for case-by-case decision making in many instances. In order to successfully implement LTBI treatment at a clinical level, consideration should be given to research on how to best address communication challenges arising in clinical encounters. PMID:29577042

  13. Patients' decisions for treatment of end-stage renal disease and their implications for access to transplantation.

    PubMed

    Gordon, E J

    2001-10-01

    Gaining access to kidney transplantation is a complex process that involves treatment decisions made by patients. Despite several advantages of kidney transplantation, some patients choose to remain on hemodialysis for treatment of end-stage renal disease. The present study was undertaken to describe the sociocultural factors influencing patients' decisions to remain on dialysis compared to those who sought a transplant. The study also examined whether African Americans made decisions different from European Americans which would offer insights into one of many factors resulting in them receiving disproportionately fewer kidney transplants. Using a qualitative approach supplemented by a quantitative approach, interviews employing open-ended questions and a card sort technique were conducted with 79 hemodialysis patients. Patients who preferred to remain on dialysis were significantly older and more likely to be unmarried and Protestant. The relationship between treatment decisions and ethnicity was inconclusive due to multiple, interrelated covariates. The three most common reasons patients reported for remaining on dialysis included: doing well on dialysis, fear of being "cut on" from a transplant, and knowing other patients whose kidney transplant failed. This study identified sociocultural and ethnomedical beliefs and values about the body and transplantation that inform patients' treatment decisions. This study also generated data that illuminate the complexity of patients' decisions and how these affect patients' preferences regarding transplantation. The results emphasize the need for policy makers to recognize patients' decisions when accounting for alleged difficulties in gaining access to transplantation.

  14. Primary care professional's perspectives on treatment decision making for depression with African Americans and Latinos in primary care practice.

    PubMed

    Patel, Sapana R; Schnall, Rebecca; Little, Virna; Lewis-Fernández, Roberto; Pincus, Harold Alan

    2014-12-01

    Increasing interest has been shown in shared decision making (SDM) to improve mental health care communication between underserved immigrant minorities and their providers. Nonetheless, very little is known about this process. The following is a qualitative study of fifteen primary care providers at two Federally Qualified Health Centers in New York and their experience during depression treatment decision making. Respondents described a process characterized in between shared and paternalistic models of treatment decision making. Barriers to SDM included discordant models of illness, stigma, varying role expectations and decision readiness. Respondents reported strategies used to overcome barriers including understanding illness perceptions and the role of the community in the treatment process, dispelling stigma using cultural terms, orienting patients to treatment and remaining available regarding the treatment decision. Findings from this study have implications for planning SDM interventions to guide primary care providers through treatment engagement for depression.

  15. Watson will see you now: a supercomputer to help clinicians make informed treatment decisions.

    PubMed

    Doyle-Lindrud, Susan

    2015-02-01

    IBM has collaborated with several cancer care providers to develop and train the IBM supercomputer Watson to help clinicians make informed treatment decisions. When a patient is seen in clinic, the oncologist can input all of the clinical information into the computer system. Watson will then review all of the data and recommend treatment options based on the latest evidence and guidelines. Once the oncologist makes the treatment decision, this information can be sent directly to the insurance company for approval. Watson has the ability to standardize care and accelerate the approval process, a benefit to the healthcare provider and the patient.

  16. Data-Driven Decision Making: The "Other" Data

    ERIC Educational Resources Information Center

    Villano, Matt

    2007-01-01

    Data is a daily reality for school systems. Between standardized tests and tools from companies that offer data warehousing services, educators and district superintendents alike are up to their eyeballs in facts and figures about student performance that they can use as the basis for curricular decisions. Still, there is more to assessment than…

  17. Intra-household relations and treatment decision-making for childhood illness: a Kenyan case study.

    PubMed

    Molyneux, C S; Murira, G; Masha, J; Snow, R W

    2002-01-01

    This study, conducted on the Kenyan coast, assesses the effect of intra-household relations on maternal treatment-seeking. Rural and urban Mijikenda mothers' responses to childhood fevers in the last 2 weeks (n=317), and to childhood convulsions in the previous year (n=43), were documented through survey work. The intra-household relations and decision-making dynamics surrounding maternal responses were explored through in-depth individual and group interviews, primarily with women (n=223). Responses to convulsions were more likely than responses to fevers to include a healer consultation (p<0.0001), and less likely to include the purchase of over-the-counter medications (p<0.0001). Mothers received financial or advisory assistance from others in 71% (n=236) of actions taken outside the household in response to fevers. In-depth interviews suggested that general agreement on appropriate therapy results in relatively few intra-household conflicts over the treatment of fevers. Disputes over perceived cause and appropriate therapy of convulsions, however, highlighted the importance of age, gender and relationship to household head in intra-household relations and treatment decision-making. Although mothers' treatment-seeking preferences are often circumscribed by these relations, a number of strategies can be drawn upon to circumvent 'inappropriate' decisions, sometimes with implications for future household responses to similar syndromes. The findings highlight the complexity of intra-household relations and treatment decision-making dynamics. Tentative implications for interventions aimed at improving the home management of malaria, and for further research, are presented.

  18. Dentist-Patient Interactions in Treatment Decision-Making: A Qualitative Study.

    ERIC Educational Resources Information Center

    Redford, Maryann; Gift, Helen C.

    1997-01-01

    A University of North Carolina study using focus groups of dentists and patients found dentist-patient interactions play an important role in treatment decision-making, and are predicated on non-clinical factors, including dentists' intuition and judgment and patient impressions of dentists' examination styles, personalities, and interpersonal…

  19. Decision support tools for proton therapy ePR: intelligent treatment planning navigator and radiation toxicity tool for evaluating of prostate cancer treatment

    NASA Astrophysics Data System (ADS)

    Le, Anh H.; Deshpande, Ruchi; Liu, Brent J.

    2010-03-01

    The electronic patient record (ePR) has been developed for prostate cancer patients treated with proton therapy. The ePR has functionality to accept digital input from patient data, perform outcome analysis and patient and physician profiling, provide clinical decision support and suggest courses of treatment, and distribute information across different platforms and health information systems. In previous years, we have presented the infrastructure of a medical imaging informatics based ePR for PT with functionality to accept digital patient information and distribute this information across geographical location using Internet protocol. In this paper, we present the ePR decision support tools which utilize the imaging processing tools and data collected in the ePR. The two decision support tools including the treatment plan navigator and radiation toxicity tool are presented to evaluate prostate cancer treatment to improve proton therapy operation and improve treatment outcomes analysis.

  20. Difficult end-of-life treatment decisions: do other factors trump advance directives?

    PubMed

    Hardin, Steven B; Yusufaly, Yasmin A

    2004-07-26

    Advance directives are widely promoted as a means to plan for patients' decisional incapacity, yet there is little evidence of their effectiveness. We devised a study to assess physicians' compliance with hypothetical advance directives and further examine their clinical reasoning. The study consisted of an analysis of a mailed written survey containing 6 hypothetical cases of seriously ill patients. Each case contained an explicit advance directive with potential conflict between the directive and (1) prognosis, (2) wishes of family or friends, or (3) quality of life. Data were collected on the clinical treatment decisions made by physicians and the reasons for those decisions. Study participants were all internal medicine faculty and resident physicians from a single academic institution. A total of 47% analyzable surveys (117/250) were returned. Decisions by faculty and residents were not consistent with the advance directive in 65% of cases. This inconsistency was similar for faculty and residents (68% and 61%, respectively; P>.05). When physicians made decisions inconsistent with the advance directive, they were more likely to list reasons other than the directive for their decisions (89%; P<.001). Internists frequently made treatment decisions that were not consistent with an explicit advance directive. In difficult clinical situations, internists appear to consider other factors such as prognosis, perceived quality of life, and the wishes of family or friends as more determinative than the directive. Future work needs to explore the generalizability of these findings and examine how strictly patients desire their advance directives to be followed.

  1. Religion, spirituality and health care treatment decisions: the role of chaplains in the Australian clinical context.

    PubMed

    Carey, Lindsay B; Cohen, Jeffrey

    2008-01-01

    This paper summarizes the views of Australian health care chaplains concerning their role and involvement in patient/family health care treatment decisions. In general terms the findings indicated that the majority of chaplains surveyed believed that it was part of their pastoral role to help patients and their families make decisions about their health care treatment. Differences in involvement of volunteer and staff chaplains, Catholic and Protestant, male and female chaplains are noted, as are the perspectives of chaplaincy informants regarding their role in relation to health care treatment decisions. Some implications of this study with respect to quality patient centered care, chaplaincy utility, and training are noted.

  2. From policy to patients and back: surgical treatment decision making for patients with breast cancer.

    PubMed

    Katz, Steven J; Hawley, Sarah T

    2007-01-01

    Persistent use of mastectomy for breast cancer has motivated concerns about overtreatment by surgeons and lack of patient involvement in decisions. However, recent studies suggest that patients perceive substantial involvement and that some patients prefer more invasive surgery, while other research suggests that surgical treatment choices might be poorly informed. Decision-making quality can be improved by increasing patients' knowledge about treatments' risks and benefits and by optimizing their involvement. The mastectomy story underscores the limitations of utilization measures as quality indicators. Strategies to improve patient outcomes should focus on tools to improve the quality of decision making and innovations in multispecialty practice.

  3. Clinical errors that can occur in the treatment decision-making process in psychotherapy.

    PubMed

    Park, Jake; Goode, Jonathan; Tompkins, Kelley A; Swift, Joshua K

    2016-09-01

    Clinical errors occur in the psychotherapy decision-making process whenever a less-than-optimal treatment or approach is chosen when working with clients. A less-than-optimal approach may be one that a client is unwilling to try or fully invest in based on his/her expectations and preferences, or one that may have little chance of success based on contraindications and/or limited research support. The doctor knows best and the independent choice models are two decision-making models that are frequently used within psychology, but both are associated with an increased likelihood of errors in the treatment decision-making process. In particular, these models fail to integrate all three components of the definition of evidence-based practice in psychology (American Psychological Association, 2006). In this article we describe both models and provide examples of clinical errors that can occur in each. We then introduce the shared decision-making model as an alternative that is less prone to clinical errors. PsycINFO Database Record (c) 2016 APA, all rights reserved

  4. The SimpleMix study with biphasic insulin aspart 30: a randomized controlled trial investigating patient-driven titration versus investigator-driven titration.

    PubMed

    Gao, Yan; Luquez, Cecilia; Lynggaard, Helle; Andersen, Henning; Saboo, Banshi

    2014-12-01

    The study aimed to confirm the efficacy, through non-inferiority, of patient-driven versus investigator-driven titration of biphasic insulin aspart 30 (BIAsp 30) in terms of glycemic control assessed by HbA1c change. SimpleMix was a 20 week, open-label, randomized, two-armed, parallel-group, multicenter study in five countries (Argentina, China, India, Poland, and the UK). Patients with type 2 diabetes were randomized into either patient-driven or investigator-driven BIAsp 30 titration groups. Non-inferiority of patient-driven vs. investigator-driven titration based on change in HbA1c from baseline to week 20 could not be demonstrated. Mean (SE) estimated change from baseline to week 20 was -0.72 (0.08)% in the patient-driven group and -0.97 (0.08)% in the investigator-driven group; estimated difference 0.25% (95% CI: 0.04; 0.46). Estimated mean change (SE) in fasting plasma glucose from baseline to week 20 was similar between groups: -0.94 (0.21) mmol/L for patient-driven and -1.07 (0.22) mmol/L for investigator-driven (difference non-significant). Both treatment arms were well tolerated, and hypoglycemic episode rates were similar between groups, with a rate ratio of 0.77 (95% CI: 0.54; 1.09; p = 0.143) for all hypoglycemic episodes and 0.78 (95% CI: 0.42; 1.43; p = 0.417) for nocturnal hypoglycemic episodes. Non-inferiority of patient-driven versus investigator-driven titration with regard to change from baseline to end-of-treatment HbA1c could not be confirmed. It is possible that a clinic visit 12 weeks after intensification of treatment with BIAsp 30 in patients with type 2 diabetes inadequately treated with basal insulin may benefit patient-driven titration of BIAsp 30. A limitation of the study was the relatively small number of patients recruited in each country, which does not allow country-specific analyses to be performed. Overall, treatment with BIAsp 30 was well tolerated in both treatment groups.

  5. The Decision to Engage Cognitive Control Is Driven by Expected Reward-Value: Neural and Behavioral Evidence

    PubMed Central

    Dixon, Matthew L.; Christoff, Kalina

    2012-01-01

    Cognitive control is a fundamental skill reflecting the active use of task-rules to guide behavior and suppress inappropriate automatic responses. Prior work has traditionally used paradigms in which subjects are told when to engage cognitive control. Thus, surprisingly little is known about the factors that influence individuals' initial decision of whether or not to act in a reflective, rule-based manner. To examine this, we took three classic cognitive control tasks (Stroop, Wisconsin Card Sorting Task, Go/No-Go task) and created novel ‘free-choice’ versions in which human subjects were free to select an automatic, pre-potent action, or an action requiring rule-based cognitive control, and earned varying amounts of money based on their choices. Our findings demonstrated that subjects' decision to engage cognitive control was driven by an explicit representation of monetary rewards expected to be obtained from rule-use. Subjects rarely engaged cognitive control when the expected outcome was of equal or lesser value as compared to the value of the automatic response, but frequently engaged cognitive control when it was expected to yield a larger monetary outcome. Additionally, we exploited fMRI-adaptation to show that the lateral prefrontal cortex (LPFC) represents associations between rules and expected reward outcomes. Together, these findings suggest that individuals are more likely to act in a reflective, rule-based manner when they expect that it will result in a desired outcome. Thus, choosing to exert cognitive control is not simply a matter of reason and willpower, but rather, conforms to standard mechanisms of value-based decision making. Finally, in contrast to current models of LPFC function, our results suggest that the LPFC plays a direct role in representing motivational incentives. PMID:23284730

  6. Primary care clinicians' experiences with treatment decision making for older persons with multiple conditions.

    PubMed

    Fried, Terri R; Tinetti, Mary E; Iannone, Lynne

    2011-01-10

    Clinicians are caring for an increasing number of older patients with multiple diseases in the face of uncertainty concerning the benefits and harms associated with guideline-directed interventions. Understanding how primary care clinicians approach treatment decision making for these patients is critical to the design of interventions to improve the decision-making process. Focus groups were conducted with 40 primary care clinicians (physicians, nurse practitioners, and physician assistants) in academic, community, and Veterans Affairs-affiliated primary care practices. Participants were given open-ended questions about their approach to treatment decision making for older persons with multiple medical conditions. Responses were organized into themes using qualitative content analysis. The participants were concerned about their patients' ability to adhere to complex regimens derived from guideline-directed care. There was variability in beliefs regarding, and approaches to balancing, the benefits and harms of guideline-directed care. There was also variability regarding how the participants involved patients in the process of decision making, with clinicians describing conflicts between their own and their patients' goals. The participants listed a number of barriers to making good treatment decisions, including the lack of outcome data, the role of specialists, patient and family expectations, and insufficient time and reimbursement. The experiences of practicing clinicians suggest that they struggle with the uncertainties of applying disease-specific guidelines to their older patients with multiple conditions. To improve decision making, they need more data, alternative guidelines, approaches to reconciling their own and their patients' priorities, the support of their subspecialist colleagues, and an altered reimbursement system.

  7. Measuring the involvement of people with HIV in treatment decision making using the control preferences scale.

    PubMed

    Kremer, Heidemarie; Ironson, Gail

    2008-01-01

    Since 1983, HIV patients have been advocating for participatory decision making. This study measures the involvement that HIV-positive people perceive in treatment decision making. A secondary objective is to assess the validity of the instrument used to examine decisional roles, the Control Preferences Scale (CPS). The authors interviewed 79 HIV-positive people, a sub-sample of a study on long survival with HIV, diverse with respect to ethnicity, age, gender, and sexual orientation. They compared the self- and researcher-rated decisional roles of participants on the CPS. They also assessed how well the CPS corresponds with Charles's paternalistic, shared- and informed-choice models of decision making about treatment based on decisional roles and information exchange. Most participants (75%) perceived collaborative/active involvement in decision making. Agreement (Kendall's tau-b) between self- and researcher-rated decisional roles on the CPS was 0.82, whereas agreement between self-ratings on the CPS and researcher ratings on Charles's classification was 0.60. Charles's classification was difficult if participants had chosen not to take their prescribed medication without being adequately informed about the risky consequences of this decision. In this study, HIV-positive people perceived a high level of involvement in decision making. Reliability and convergent validity of the CPS was high. Charles's classification was problematic because decisional roles and information exchange are distinct dimensions. Some people make risky treatment decisions on their own without being adequately informed. The CPS is a useful instrument to measure decisional role perceptions of HIV-positive people but needs to be complemented by an instrument measuring treatment knowledge.

  8. A treatment trade‐off based decision aid for patients with locally advanced non‐small cell lung cancer

    PubMed Central

    Brundage, Michael D.; Feldman‐Stewart, Deb; Dixon, Peter; Gregg, Richard; Youssef, Youssef; Davies, Diane; Mackillop, William J.

    2008-01-01

    Purpose To describe the structure and use of a decision aid for patients with locally advanced non‐small cell lung cancer (LA‐NSCLC) who are eligible for combined‐modality treatment (CMT) or for radiotherapy alone (RT). Methods The aid included a structured description of the treatment options and trade‐off exercises designed to help clarify the patient’s values for the relevant outcomes by determining the patient’s survival advantage threshold (the increase in survival conferred by CMT over RT that the patient deemed necessary for choosing CMT). Additional outcome measures included each patient’s strength of treatment preference, decisional conflict, objective understanding of survival information, decisional role preference, and evaluation of the aid itself. Results Twenty‐five patients met the eligibility criteria for study. Of these, seven declined the decision aid because they had a clear treatment preference (four chose CMT and three chose RT). The remaining 18 participants completed the decision aid; 16 chose CMT and two chose RT. All 18 patients wished to participate in the decision to some extent. All patients reported that using the decision support was useful to them and recommended its use for others. No patient or physician reported that the aid interfered with the physician‐patient relationship. Patients’ 3‐year survival advantage thresholds, and their median survival advantage thresholds, were each strongly correlated with their strengths of treatment preference (ρ=0.80, P < 0.001 and ρ=0.77, P < 0.001, respectively). For all but one patient, either their 3‐year or median survival threshold was consistent with their final treatment choice. Eight patients reported a stronger treatment preference after using the decision aid. Conclusions We conclude that a treatment trade‐off based decision aid for patients with locally advanced non‐small cell lung cancer is feasible, that it demonstrates internal

  9. When do cancer patients regret their treatment decision? A path analysis of the influence of clinicians' communication styles and the match of decision-making styles on decision regret.

    PubMed

    Nicolai, Jennifer; Buchholz, Angela; Seefried, Nathalie; Reuter, Katrin; Härter, Martin; Eich, Wolfgang; Bieber, Christiane

    2016-05-01

    To test the influence of physician empathy (PE), shared decision making (SDM), and the match between patients' preferred and perceived decision-making styles on patients' decision regret. Patients with breast or colon cancer (n=71) completed questionnaires immediately following (T1) and three months after a consultation (T2). Path analysis was used to examine the relationships among patient demographics, patient reports of PE, SDM, the match between preferred and perceived decision-making styles, and patient decision regret at T2. After controlling for clinician clusters, higher PE was directly associated with more SDM (β=0.43, p<0.01) and lower decision regret (β=-0.28, p<0.01). The match between patients' preferred and perceived roles was negatively associated with decision regret (β=-0.33, p<0.01). Patients who participated less than desired reported more decision regret at T2. There was no significant association between SDM and decision regret (β=0.03, p=0.74). PE and the match between patients' preferred and perceived roles in medical decision making are essential for patient-centered cancer consultations and treatment decisions. Ways to enhance PE and matching the consultation style to patients' expectations should be encouraged. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  10. Pharmacist-driven initiative for management of Staphylococcus aureus bacteremia using a clinical decision support system.

    PubMed

    Wang, Fei; Prier, Beth; Bauer, Karri A; Mellett, John

    2018-06-01

    The development and implementation of a clinical decision support system (CDSS) for pharmacists to use for identification of and intervention on patients with Staphylococcus aureus bacteremia (SAB) are described. A project team consisting of 3 informatics pharmacists and 2 infectious diseases (ID) pharmacists was formed to develop the CDSS. The primary CDSS component was a scoring system that generates a score in real time for a patient with a positive blood culture for S. aureus. In addition, 4 tools were configured in the CDSS to facilitate pharmacists' workflow and documentation tasks: a patient list, a patient list report, a handoff note, and a standardized progress note. Pharmacists are required to evaluate the patient list at least once per shift to identify newly listed patients with a blood culture positive for S. aureus and provide recommendations if necessary. The CDSS was implemented over a period of 2.5 months, with a pharmacy informatics resident dedicating approximately 200 hours in total. An audit showed that the standardized progress note was completed for 100% of the patients, with a mean time to completion of 8.5 hours. Importantly, this initiative can be implemented in hospitals without specialty-trained ID pharmacists. This study provides a framework for future antimicrobial stewardship program initiatives to incorporate pharmacists into the process of providing real-time recommendations. A pharmacist-driven patient scoring system was successfully used to improve adherence to quality performance measures for management of SAB. A pharmacist-driven CDSS can be utilized to assist in the management of SAB. Copyright © 2018 by the American Society of Health-System Pharmacists, Inc. All rights reserved.

  11. Choosing the appropriate treatment setting: which information and decision-making needs do adult inpatients with mental disorders have? A qualitative interview study.

    PubMed

    Kivelitz, Laura; Härter, Martin; Mohr, Jil; Melchior, Hanne; Goetzmann, Lutz; Warnke, Max Holger; Kleinschmidt, Silke; Dirmaier, Jörg

    2018-01-01

    Decisions on medical treatment setting are perceived as important but often difficult to make for patients with mental disorders. Shared decision-making as a strategy to decrease decisional conflict has been recommended, but is not yet widely implemented. This study aimed to investigate the information needs and the decision-making preferences of patients with mental disorders prior to the decision for a certain treatment setting. The results will serve as a prerequisite for the development of a high-quality patient decision aid (PtDA) regarding the treatment setting decision. We conducted retrospective individual semi-structured interviews with n=24 patients with mental disorders in three psychotherapeutic inpatient care units. The interviews were audiotaped, transcribed, coded, and content-analyzed. The majority of the patients wanted to be involved in the decision-making process. They reported high information needs regarding treatment options in order to feel empowered to participate adequately in the decision for a certain treatment setting. However, some patients did not want to participate or receive information, for example, because of their high burden of mental disorder. Whereas the majority were satisfied with the extent they were involved in the decision, few participants felt sufficiently informed about treatment options. Most patients reported that a decision aid regarding an appropriate treatment setting would have been helpful for them. Important information that should be included in a PtDA was general information about mental illness, effective treatment options, specific information about the different treatment settings, and access to treatment. The identified information and decision-making needs provide a valuable basis for the development of a PtDA aiming to support patients and caregivers regarding the decision for an adequate treatment setting. As preferences for participation vary among patients and also depend on the current mental state

  12. Toward a more data-driven supervision of collegiate counseling centers.

    PubMed

    Varlotta, Lori E

    2012-01-01

    Hearing the national call for higher education accountability, the author of this tripartite article urges university administrators to move towards a more data-driven approach to counseling center supervision. Toward that end, the author first examines a key factor--perceived increase in student pathology--that appears to shape budget and staffing decisions in many university centers. Second, she reviews the emerging but conflicting research of clinician-scholars who are trying to empirically verify or refute that perception; their conflicting results suggest that no study alone should be used as the "final word" in evidence-based decision-making. Third, the author delineates the campus-specific data that should be gathered to guide staffing and budgeting decisions on each campus. She concludes by reminding readers that data-driven decisions can and should foster high-quality care that is concurrently efficient, effective, and in sync with the needs of a particular university and student body.

  13. An integrated decision making approach for assessing healthcare waste treatment technologies from a multiple stakeholder.

    PubMed

    Shi, Hua; Liu, Hu-Chen; Li, Ping; Xu, Xue-Guo

    2017-01-01

    With increased worldwide awareness of environmental issues, healthcare waste (HCW) management has received much attention from both researchers and practitioners over the past decade. The task of selecting the optimum treatment technology for HCWs is a challenging decision making problem involving conflicting evaluation criteria and multiple stakeholders. In this paper, we develop an integrated decision making framework based on cloud model and MABAC method for evaluating and selecting the best HCW treatment technology from a multiple stakeholder perspective. The introduced framework deals with uncertain linguistic assessments of alternatives by using interval 2-tuple linguistic variables, determines decision makers' relative weights based on the uncertainty and divergence degrees of every decision maker, and obtains the ranking of all HCW disposal alternatives with the aid of an extended MABAC method. Finally, an empirical example from Shanghai, China, is provided to illustrate the feasibility and effectiveness of the proposed approach. Results indicate that the methodology being proposed is more suitable and effective to handle the HCW treatment technology selection problem under vague and uncertain information environment. Copyright © 2016 Elsevier Ltd. All rights reserved.

  14. The Myth of the Rational Decision Maker: A Framework for Applying and Enhancing Heuristic and Intuitive Decision Making by School Leaders

    ERIC Educational Resources Information Center

    Davis, Stephen H.

    2004-01-01

    This article takes a critical look at administrative decision making in schools and the extent to which complex decisions conform to normative models and common expectations of rationality. An alternative framework for administrative decision making is presented that is informed, but not driven, by theories of rationality. The framework assumes…

  15. To Share or Not to Share: Malaysian Healthcare Professionals' Views on Localized Prostate Cancer Treatment Decision Making Roles.

    PubMed

    Lee, Yew Kong; Lee, Ping Yein; Cheong, Ai Theng; Ng, Chirk Jenn; Abdullah, Khatijah Lim; Ong, Teng Aik; Razack, Azad Hassan Abdul

    2015-01-01

    To explore the views of Malaysian healthcare professionals (HCPs) on stakeholders' decision making roles in localized prostate cancer (PCa) treatment. Qualitative interviews and focus groups were conducted with HCPs treating PCa. Data was analysed using a thematic approach. Four in-depth interviews and three focus group discussions were conducted between December 2012 and March 2013 using a topic guide. Interviews were audio-recorded, transcribed verbatim, and analysed thematically. The participants comprised private urologists (n = 4), government urologists (n = 6), urology trainees (n = 6), government policy maker (n = 1) and oncologists (n = 3). HCP perceptions of the roles of the three parties involved (HCPs, patients, family) included: HCP as the main decision maker, HCP as a guide to patients' decision making, HCP as a facilitator to family involvement, patients as main decision maker and patient prefers HCP to decide. HCPs preferred to share the decision with patients due to equipoise between prostate treatment options. Family culture was important as family members often decided on the patient's treatment due to Malaysia's close-knit family culture. A range of decision making roles were reported by HCPs. It is thus important that stakeholder roles are clarified during PCa treatment decisions. HCPs need to cultivate an awareness of sociocultural norms and family dynamics when supporting non-Western patients in making decisions about PCa.

  16. To Share or Not to Share: Malaysian Healthcare Professionals' Views on Localized Prostate Cancer Treatment Decision Making Roles

    PubMed Central

    Lee, Yew Kong; Lee, Ping Yein; Cheong, Ai Theng; Ng, Chirk Jenn; Abdullah, Khatijah Lim; Ong, Teng Aik; Razack, Azad Hassan Abdul

    2015-01-01

    Aim To explore the views of Malaysian healthcare professionals (HCPs) on stakeholders’ decision making roles in localized prostate cancer (PCa) treatment. Methods Qualitative interviews and focus groups were conducted with HCPs treating PCa. Data was analysed using a thematic approach. Four in-depth interviews and three focus group discussions were conducted between December 2012 and March 2013 using a topic guide. Interviews were audio-recorded, transcribed verbatim, and analysed thematically. Findings The participants comprised private urologists (n = 4), government urologists (n = 6), urology trainees (n = 6), government policy maker (n = 1) and oncologists (n = 3). HCP perceptions of the roles of the three parties involved (HCPs, patients, family) included: HCP as the main decision maker, HCP as a guide to patients’ decision making, HCP as a facilitator to family involvement, patients as main decision maker and patient prefers HCP to decide. HCPs preferred to share the decision with patients due to equipoise between prostate treatment options. Family culture was important as family members often decided on the patient’s treatment due to Malaysia’s close-knit family culture. Conclusions A range of decision making roles were reported by HCPs. It is thus important that stakeholder roles are clarified during PCa treatment decisions. HCPs need to cultivate an awareness of sociocultural norms and family dynamics when supporting non-Western patients in making decisions about PCa. PMID:26559947

  17. Cognitive predictors of understanding treatment decisions in patients with newly diagnosed brain metastasis.

    PubMed

    Gerstenecker, Adam; Meneses, Karen; Duff, Kevin; Fiveash, John B; Marson, Daniel C; Triebel, Kristen L

    2015-06-15

    Medical decision-making capacity is a higher-order functional skill that refers to a patient's ability to make informed, sound decisions related to care and treatment. In a medical context, understanding is the most cognitively demanding consent standard and refers to a patient's ability to comprehend information to the extent that informed decisions can be made. The association between reasoning and cognition was examined using data from 41 patients with diagnosed brain metastasis. All diagnoses were made by a board-certified radiation oncologist and were verified histologically. In total, 41 demographically matched, cognitively healthy controls were also included to aid in classifying patients with brain metastasis according to reasoning status (ie, intact or impaired). Results indicate that measures of simple attention, verbal fluency, verbal memory, processing speed, and executive functioning were all associated with understanding, and that verbal memory and phonemic fluency were the primary cognitive predictors. Using these two primary predictors, equations can be constructed to predict the ability to understand treatment decisions in patients with brain metastasis. Although preliminary, these data demonstrate how cognitive measures can estimate understanding as it relates to medical decision-making capacities in these patients. Clinically, these findings suggest that poor verbal memory and expressive language function could serve as "red flags" for reduced consent capacity in this patient population, thus signaling that a more comprehensive medical decision-making capacity evaluation is warranted. © 2015 American Cancer Society.

  18. A pelvic motion driven electrical stimulator for drop-foot treatment.

    PubMed

    Chen, Shih-Wei; Chen, Shih-Ching; Chen, Chiun-Fan; Lai, Jin-Shin; Kuo, Te-Son

    2009-01-01

    Foot switches operating with force sensitive resistors placed in the shoe sole were considered as an effective way for driving FES assisted walking systems in gait restoration. However, the reliability and durability of the foot switches run down after a certain number of steps. As an alternative for foot switches, a simple, portable, and easy to handle motion driven electrical stimulator (ES) is provided for drop foot treatment. The device is equipped with a single tri-axis accelerometer worn on the pelvis, a commercial dual channel electrical stimulator, and a controller unit. By monitoring the pelvic rotation and acceleration during a walking cycle, the events including heel strike and toe off of each step is thereby predicted by a post-processing neural network model.

  19. Cancer treatment decision-making processes for older patients with complex needs: a qualitative study.

    PubMed

    Bridges, Jackie; Hughes, Jane; Farrington, Naomi; Richardson, Alison

    2015-12-14

    Although older people can experience complex health and social care needs alongside a primary cancer diagnosis, little is understood about how cancer treatment decisions are made for this population. This study aimed to investigate how cancer treatment decisions are formulated for older people with complex health and social care needs and the factors that shape these processes. Qualitative study involving semistructured interviews and non-participant observations. Framework approach used for data analysis. Breast and colorectal cancer services in five English NHS hospital trusts. Interviews: purposive sample of 22 clinicians directly involved in a face-to-face clinical role with patients regarding cancer treatment and care, maximising variation across clinical roles, tumour types and trusts. purposive sample of five cancer multidisciplinary meetings, maximising variation across location, team size and tumour type. The initial stages of cancer treatment decision-making are team-based, medically dominated and focused on the cancer. For patients with complex health and social care needs that extend beyond cancer pathology, later and less visible stages in the decision-making process are more haphazard and may result in less effective and workable treatment plans, as individual clinicians struggle to devise and deliver these plans without breaching time-based targets. Service targets that focus resources solely on the presenting disease can disadvantage older patients with complex health and social care needs that extend beyond this primary diagnosis. Care should be taken to ensure time-based targets do not disincentivise thorough and timely assessment that can lead to the formulation of treatment plans tailored to individual needs and circumstances. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

  20. The use of video-based patient education for shared decision-making in the treatment of prostate cancer.

    PubMed

    Gomella, L G; Albertsen, P C; Benson, M C; Forman, J D; Soloway, M S

    2000-08-01

    Increased consumerism, patient empowerment, and autonomy are creating a health care revolution. In recent years, the public has become better informed and more sophisticated. An extraordinary amount of treatment advice from books, the media, and the Internet is available to patients today, although much of it is confusing or conflicting. Consequently, the traditional, paternalistic doctor-patient relationship is yielding to a more consumerist one. The new dynamic is based on a participatory ethic and a change in the balance of power. This shared decision-making creates a true partnership between professionals and patients, in which each contributes equally to decisions about treatment or care. Evidence suggests that in diseases such as prostate cancer, where there may be a number of appropriate treatment options for a particular patient, shared decision-making may lead to improved clinical and quality-of-life outcomes. This article explores the evolving relationship between the physician and patient, the pros and cons of shared decision-making, and the use of video technology in the clinical setting. The authors review the use of medical decision aids, including a video-based educational program called CHOICES, in the treatment of prostate cancer and other diseases.

  1. To what extent is treatment adherence of psychiatric patients influenced by their participation in shared decision making?

    PubMed

    De Las Cuevas, Carlos; Peñate, Wenceslao; de Rivera, Luis

    2014-01-01

    Nonadherence to prescribed medications is a significant barrier to the successful treatment of psychiatric disorders in clinical practice. It has been argued that patient participation in shared decision making improves adherence to treatment plans. To assess to what extent treatment adherence of psychiatric patients is influenced by the concordance between their preferred participation and their actual participation in decision making. A total of 967 consecutive psychiatric outpatients completed the Control Preference Scale twice consecutively before consultation, one for their preferences of participation, and the other for the style they had usually experienced until then, and the eight-item self-report Morisky Medication Adherence Scale 8. Most psychiatric outpatients preferred a collaborative role in decision making. Congruence was achieved in only 50% of the patients, with most mismatch cases preferring more involvement than had been experienced. Self-reported adherence was significantly higher in those patients in whom there was concordance between their preferences and their experiences of participation in decision making, regardless of the type of participation preferred. Congruence between patients' preferences and actual experiences for level of participation in shared decision making is relevant for their adherence to treatment.

  2. Reprint of "Influence of analytical bias and imprecision on the number of false positive results using Guideline-Driven Medical Decision Limits".

    PubMed

    Hyltoft Petersen, Per; Klee, George G

    2014-05-15

    Diagnostic decisions based on decision limits according to medical guidelines are different from the majority of clinical decisions due to the strict dichotomization of patients into diseased and non-diseased. Consequently, the influence of analytical performance is more critical than for other diagnostic decisions where much other information is included. The aim of this opinion paper is to investigate consequences of analytical quality and other circumstances for the outcome of "Guideline-Driven Medical Decision Limits". Effects of analytical bias and imprecision should be investigated separately and analytical quality specifications should be estimated accordingly. Use of sharp decision limits doesn't consider biological variation and effects of this variation are closely connected with the effects of analytical performance. Such relationships are investigated for the guidelines for HbA1c in diagnosis of diabetes and in risk of coronary heart disease based on serum cholesterol. The effects of a second sampling in diagnosis give dramatic reduction in the effects of analytical quality showing minimal influence of imprecision up to 3 to 5% for two independent samplings, whereas the reduction in bias is more moderate and a 2% increase in concentration doubles the percentage of false positive diagnoses, both for HbA1c and cholesterol. An alternative approach comes from the current application of guidelines for follow-up laboratory tests according to clinical procedure orders, e.g. frequency of parathyroid hormone requests as a function of serum calcium concentrations. Here, the specifications for bias can be evaluated from the functional increase in requests for increasing serum calcium concentrations. In consequence of the difficulties with biological variation and the practical utilization of concentration dependence of frequency of follow-up laboratory tests already in use, a kind of probability function for diagnosis as function of the key-analyte is proposed

  3. Risky decision-making predicts short-term outcome of community but not residential treatment for opiate addiction. Implications for case management.

    PubMed

    Passetti, F; Clark, L; Davis, P; Mehta, M A; White, S; Checinski, K; King, M; Abou-Saleh, M

    2011-10-01

    Opiate addiction is associated with decision-making deficits and we previously showed that the extent of these impairments predicts aspects of treatment outcome. Here we aimed to establish whether measures of decision-making performance might be used to inform placement matching. Two groups of opiate dependent individuals, one receiving treatment in a community setting (n=48) and one in a residential setting (n=32) were administered computerised tests of decision-making, impulsivity and planning shortly after the beginning of treatment, to be followed up three months into each programme. In the community sample, performance on the decision-making tasks at initial assessment predicted abstinence from illicit drugs at follow-up. In contrast, in the residential sample there was no relationship between decision-making and clinical outcome. Intact decision-making processes appear to be necessary for upholding a resolve to avoid taking drugs in a community setting, but the importance of these mechanisms may be attenuated in a residential treatment setting. The results support the placement matching hypothesis, suggesting that individuals with more prominent decision-making deficits may particularly benefit from treatment in a residential setting and from the inclusion of aspects of cognitive rehabilitation in their treatment programme. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

  4. Chemotherapy treatment decision-making experiences of older adults with cancer, their family members, oncologists and family physicians: a mixed methods study.

    PubMed

    Puts, Martine T E; Sattar, Schroder; McWatters, Kara; Lee, Katherine; Kulik, Michael; MacDonald, Mary-Ellen; Jang, Raymond; Amir, Eitan; Krzyzanowska, Monika K; Leighl, Natasha; Fitch, Margaret; Joshua, Anthony M; Warde, Padraig; Tourangeau, Ann E; Alibhai, Shabbir M H

    2017-03-01

    Although comorbidities, frailty, and functional impairment are common in older adults (OA) with cancer, little is known about how these factors are considered during the treatment decision-making process by OAs, their families, and health care providers. Our aim was to better understand the treatment decision process from all these perspectives. A mixed methods multi-perspective longitudinal study using semi-structured interviews and surveys with 29 OAs aged ≥70 years with advanced prostate, breast, colorectal, or lung cancer, 24 of their family members,13 oncologists, and 15 family physicians was conducted. The sample was stratified on age (70-79 and 80+). All interviews were analyzed using thematic analysis. There was no difference in the treatment decision-making experience based on age. Most OAs felt that they should have the final say in the treatment decision, but strongly valued their oncologists' opinion. "Trust in my oncologist" and "chemotherapy as the last resort to prolong life" were the most important reasons to accept treatment. Families indicated a need to improve communication between them, the patient and the specialist, particularly around goals of treatment. Comorbidity and potential side-effects did not play a major role in the treatment decision-making for patients, families, or oncologists. Family physicians reported no involvement in decisions but desired to be more involved. This first study using multiple perspectives showed neither frailty nor comorbidity played a role in the treatment decision-making process. Efforts to improve communication were identified as an opportunity that may enhance quality of care. In a mixed methods study multiple perspective study with older adults with cancer, their family members, their oncologist and their family physician we explored the treatment decision making process and found that most older adults were satisfied with their decision. Comorbidity, functional status and frailty did not impact the

  5. In Light of the Limitations of Data-Driven Decision Making

    ERIC Educational Resources Information Center

    Loeb, Susanna

    2012-01-01

    Students' experiences and the opportunities they have to learn rest on the quality of education decisions made in each classroom, in each school, in each district, and in each state, federal legislature, and department of education. The role of research and scholarship more broadly in education finance and policy is to inform these decisions for…

  6. Treatment decision-making in ductal carcinoma in situ: A mixed methods systematic review of women's experiences and information needs.

    PubMed

    Rutherford, Claudia; Mercieca-Bebber, Rebecca; Butow, Phyllis; Wu, Jenny Liang; King, Madeleine T

    2017-09-01

    Decision-making in ductal carcinoma in situ (DCIS) is complex due to the heterogeneity of the disease. This study aimed to understand women's experience of making treatment decisions for DCIS, their information and support needs, and factors that influenced decisions. We searched six electronic databases, conference proceedings, and key authors. Two reviewers independently applied inclusion and quality criteria, and extracted findings. Thematic analysis was used to combine and summarise findings. We identified six themes and 28 subthemes from 18 studies. Women with DCIS have knowledge deficits about DCIS, experience anxiety related to information given at diagnosis and the complexity of decision-making, and have misconceptions regarding risks and outcomes of treatment. Women's decisions are influenced by their understanding of risk, the clinical features of their DCIS, and the benefits and harms of treatment options. Women are dissatisfied with the decisional support available. Informed and shared decision-making in this complex decision setting requires clear communication of information specific to DCIS and individual's, as well as decision support for patients and clinicians. This approach would educate patients and clinicians, and assist clinicians in supporting patients to an evidence-based treatment plan that aligns with individual values and pReferences. Copyright © 2017 Elsevier B.V. All rights reserved.

  7. Patients’ perceptions of gene expression profiling in breast cancer treatment decisions

    PubMed Central

    Bombard, Y.; Rozmovits, L.; Trudeau, M.E.; Leighl, N.B.; Deal, K.; Marshall, D.A.

    2014-01-01

    Introduction Determining the likely benefit of adjuvant chemotherapy for early-stage breast cancer patients depends on estimating baseline recurrence risk. Gene expression profile (gep) testing of tumours informs risk prediction, but evidence of its clinical utility is limited. We explored patient perceptions of gep testing and the impact of those perceptions on chemotherapy decisions. Methods We conducted one focus group (n = 4) and individual interviews (n = 24) with patients who used gep testing, recruited through clinics at two hospitals in Ontario. Data were analyzed using content analysis and constant comparison techniques. Results Patients’ understanding of gep testing was variable, and misapprehensions were common. Patients valued the test because it provided them with certainty amidst confusion, with options and a sense of empowerment, and with personalized, authoritative information. They commonly believed that the test was better and fundamentally different from other clinical tests, attributing to it unique power and truth-value. This kind of “magical thinking” was derived from an amplified perception of the test’s validity and patients’ need for reassurance about their treatment choices. Despite misperceptions or magical thinking, gep was widely considered to be the deciding factor in treatment decisions. Conclusions Patients tend to overestimate the truth-value of gep testing based on misperceptions of its validity. Our results identify a need to better support patient understanding of the test and its limitations. Findings illustrate the deep emotional investment patients make in gep test results and the impact of that investment on their treatment decisions. PMID:24764705

  8. Choosing the appropriate treatment setting: which information and decision-making needs do adult inpatients with mental disorders have? A qualitative interview study

    PubMed Central

    Kivelitz, Laura; Härter, Martin; Mohr, Jil; Melchior, Hanne; Goetzmann, Lutz; Warnke, Max Holger; Kleinschmidt, Silke; Dirmaier, Jörg

    2018-01-01

    Background Decisions on medical treatment setting are perceived as important but often difficult to make for patients with mental disorders. Shared decision-making as a strategy to decrease decisional conflict has been recommended, but is not yet widely implemented. This study aimed to investigate the information needs and the decision-making preferences of patients with mental disorders prior to the decision for a certain treatment setting. The results will serve as a prerequisite for the development of a high-quality patient decision aid (PtDA) regarding the treatment setting decision. Methods We conducted retrospective individual semi-structured interviews with n=24 patients with mental disorders in three psychotherapeutic inpatient care units. The interviews were audiotaped, transcribed, coded, and content-analyzed. Results The majority of the patients wanted to be involved in the decision-making process. They reported high information needs regarding treatment options in order to feel empowered to participate adequately in the decision for a certain treatment setting. However, some patients did not want to participate or receive information, for example, because of their high burden of mental disorder. Whereas the majority were satisfied with the extent they were involved in the decision, few participants felt sufficiently informed about treatment options. Most patients reported that a decision aid regarding an appropriate treatment setting would have been helpful for them. Important information that should be included in a PtDA was general information about mental illness, effective treatment options, specific information about the different treatment settings, and access to treatment. Discussion The identified information and decision-making needs provide a valuable basis for the development of a PtDA aiming to support patients and caregivers regarding the decision for an adequate treatment setting. As preferences for participation vary among patients and

  9. Congruence between Preferred and Actual Participation Roles Increases Satisfaction with Treatment Decision Making among Japanese Women with Breast Cancer

    PubMed

    Yamauchi, Keiko; Nakao, Motoyuki; Nakashima, Mitsuyo; Ishihara, Yoko

    2017-04-01

    Objective: This study investigated the correlation between participation in the treatment decision-making process and satisfaction with the process among Japanese women with breast cancer. The influence of sociodemographic and clinical characteristics on satisfaction with the treatment decision-making process was also examined. Methods: We conducted a cross-sectional, self-administered internet survey of 650 Japanese women with breast cancer in March 2016. Decisional role (active, collaborative, passive) in the treatment decision-making was elicited using the Japanese version of the Control Preference Scale. Satisfaction with the decision-making process was assessed. Result: About half of the participants preferred to play a collaborative role, while half of the participants perceived that they played an active role. Satisfaction among the participants who made their treatment choice collaboratively with their physicians was significantly higher than that of participants who made the choice by themselves or entrusted their physicians to make the decision. However, two-way ANOVA demonstrated that satisfaction level was associated with the congruence between the participants’ preferred and actual decisional roles, but not with the actual decisional roles that they played. This association had no interaction with sociodemographic and clinical status, except for education level. A majority of the participants who participated in the roles they preferred in choosing their treatment option indicated that they would participate in the same role if they were to face a similar decision-making situation in the future. Conclusion: Regardless of their role played in the cancer treatment decision-making process, and irrespective of their sociodemographic and clinical status, Japanese women with breast cancer are more satisfied with the treatment decision-making process when their participation in the process matches their preferred role in the process. Creative Commons

  10. Congruence between Preferred and Actual Participation Roles Increases Satisfaction with Treatment Decision Making among Japanese Women with Breast Cancer

    PubMed Central

    Yamauchi, Keiko; Nakao, Motoyuki; Nakashima, Mitsuyo; Ishihara, Yoko

    2017-01-01

    Objective: This study investigated the correlation between participation in the treatment decision-making process and satisfaction with the process among Japanese women with breast cancer. The influence of sociodemographic and clinical characteristics on satisfaction with the treatment decision-making process was also examined. Methods: We conducted a cross-sectional, self-administered internet survey of 650 Japanese women with breast cancer in March 2016. Decisional role (active, collaborative, passive) in the treatment decision-making was elicited using the Japanese version of the Control Preference Scale. Satisfaction with the decision-making process was assessed. Result: About half of the participants preferred to play a collaborative role, while half of the participants perceived that they played an active role. Satisfaction among the participants who made their treatment choice collaboratively with their physicians was significantly higher than that of participants who made the choice by themselves or entrusted their physicians to make the decision. However, two-way ANOVA demonstrated that satisfaction level was associated with the congruence between the participants’ preferred and actual decisional roles, but not with the actual decisional roles that they played. This association had no interaction with sociodemographic and clinical status, except for education level. A majority of the participants who participated in the roles they preferred in choosing their treatment option indicated that they would participate in the same role if they were to face a similar decision-making situation in the future. Conclusion: Regardless of their role played in the cancer treatment decision-making process, and irrespective of their sociodemographic and clinical status, Japanese women with breast cancer are more satisfied with the treatment decision-making process when their participation in the process matches their preferred role in the process. PMID:28545197

  11. Making the Right Treatment Decision Requires Consideration of Utility and Reconsideration of Value.

    PubMed

    Rossi, Michael J; Lubowitz, James H; Brand, Jefferson C; Provencher, Matthew T

    2017-02-01

    To achieve a good clinical outcome, arthroscopic and related surgeons must choose the proper treatment, and the basis of this choice is accurate diagnosis. Generally, our clinical focus is on outcome, but outcome is achieved after the fact. While this seems obvious, arthroscopic and related surgeons-and our patients who participate in shared decision making-evaluate the utility, or usefulness, of potential treatments based on desired and expected benefits versus potential risks. Today, cost is frequently considered as a determinant of value in medicine and may be applied to the decision analysis, but if an individual patient perceives health to be priceless, cost becomes irrelevant. In the end, an individual patient's satisfaction is determined on a case-by-case basis. Proper choice of treatment cannot be formulaic. Copyright © 2016 Arthroscopy Association of North America. Published by Elsevier Inc. All rights reserved.

  12. Re-treatment decisions for failed posterior fillings by Finnish general practitioners.

    PubMed

    Heinikainen, Mia; Vehkalahti, Miira; Murtomaa, Heikki

    2002-06-01

    To evaluate treatment decisions of general dental practitioners (GDPs) in the private and public sector in cases of re-treatment of failed posterior fillings. A questionnaire on six cases from 400 GDPs, selected by stratified randomisation by gender, and main occupation (public vs. private sector). Others were all full-time dental teachers (DTs; n=47) representing clinical disciplines other than surgery and orthodontics. Restorative cases were described in detail, including figures drawn on four subcases involving the first permanent upper molar where the filling to be replaced increased in size from occlusal filling to the entire clinical crown. For each case, respondents chose the optimal treatment from eight alternatives, later re-classified as amalgam restoration, direct composite restoration, prosthetic restoration (indirect composite, cast gold inlay/onlay, ceramic inlay/onlay, ceramic crown, or bridge construction following tooth extraction). For re-treatment of the occlusal filling, composite restoration was preferred both by GDPs (92%) and DTs (83%). For three-surface fillings, prosthetic restorations were dominant in the private sector (OR=2.3; 95% CI: 1.4, 3.8; P<0.001). In total loss of the clinical crown, prosthetic restoration was chosen by all the DTs, public-sector dentists, and 95% of private-sector dentists. No more than 10% of GDPs chose amalgam and 2% gold; the rest chose composites. Treatment decisions were similar in public and private sectors for cases with the smallest and largest fillings. Wide variation in cases of medium-sized restorations indicated a lack of generally accepted guidelines of good clinical practice and of evidence-based treatment practice.

  13. An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription.

    PubMed

    Shen, Ying; Yuan, Kaiqi; Chen, Daoyuan; Colloc, Joël; Yang, Min; Li, Yaliang; Lei, Kai

    2018-03-01

    pairs of drug interaction relationships and 86 pairs of antibiotic-specific population contraindicated relationships. Compared with the existing infectious disease-relevant ontologies in the field of knowledge comprehension, this ontology is more complete. Analysis of IDDAP's performance in terms of classifiers based on receiver operating characteristic (ROC) curve results (89.91%) revealed IDDAP's advantages when combined with our ontology. This study attempted to bridge the patient/caregiver gap by building a sophisticated application that uses artificial intelligence and machine learning computational techniques to perform data-driven decision-making at the point of primary care. The first level of decision-making is conducted by the IDDAP and provides the patient with a first-line therapy. Patients can then make a subjective judgment, and if any questions arise, should consult a physician for subsequent decisions, particularly in complicated cases or in cases in which the necessary information is not yet available in the knowledge base. Copyright © 2018 Elsevier B.V. All rights reserved.

  14. A Review of Shared Decision-Making and Patient Decision Aids in Radiation Oncology.

    PubMed

    Woodhouse, Kristina Demas; Tremont, Katie; Vachani, Anil; Schapira, Marilyn M; Vapiwala, Neha; Simone, Charles B; Berman, Abigail T

    2017-06-01

    Cancer treatment decisions are complex and may be challenging for patients, as multiple treatment options can often be reasonably considered. As a result, decisional support tools have been developed to assist patients in the decision-making process. A commonly used intervention to facilitate shared decision-making is a decision aid, which provides evidence-based outcomes information and guides patients towards choosing the treatment option that best aligns with their preferences and values. To ensure high quality, systematic frameworks and standards have been proposed for the development of an optimal aid for decision making. Studies have examined the impact of these tools on facilitating treatment decisions and improving decision-related outcomes. In radiation oncology, randomized controlled trials have demonstrated that decision aids have the potential to improve patient outcomes, including increased knowledge about treatment options and decreased decisional conflict with decision-making. This article provides an overview of the shared-decision making process and summarizes the development, validation, and implementation of decision aids as patient educational tools in radiation oncology. Finally, this article reviews the findings from decision aid studies in radiation oncology and offers various strategies to effectively implement shared decision-making into clinical practice.

  15. Effects on temperature and acidic pre-treatment on Fenton-driven oxidation of MTBE-spent granular activated carbon

    EPA Science Inventory

    Temperature-dependent mechanisms in the Fenton-driven chemical oxidation of methyl tert-butyl ether (MTBE)-spent granular activated carbon (GAC) was investigated. Prior to iron (Fe) amendment to the GAC, acid-treatment altered the surface chemistry of the GAC and lowered the p...

  16. Treatment selection of early stage non-small cell lung cancer: the role of the patient in clinical decision making.

    PubMed

    Mokhles, S; Nuyttens, J J M E; de Mol, M; Aerts, J G J V; Maat, A P W M; Birim, Ö; Bogers, A J J C; Takkenberg, J J M

    2018-01-15

    The objective of this study is to investigate the role and experience of early stage non-small cell lung cancer (NSCLC) patient in decision making process concerning treatment selection in the current clinical practice. Stage I-II NSCLC patients (surgery 55 patients, SBRT 29 patients, median age 68) were included in this prospective study and completed a questionnaire that explored: (1) perceived patient knowledge of the advantages and disadvantages of the treatment options, (2) experience with current clinical decision making, and (3) the information that the patient reported to have received from their treating physician. This was assessed by multiple-choice, 1-5 Likert Scale, and open questions. The Decisional Conflict Scale was used to assess the decisional conflict. Health related quality of life (HRQoL) was measured with SF-36 questionnaire. In 19% of patients, there was self-reported perceived lack of knowledge about the advantages and disadvantages of the treatment options. Seventy-four percent of patients felt that they were sufficiently involved in decision-making by their physician, and 81% found it important to be involved in decision making. Forty percent experienced decisional conflict, and one-in-five patients to such an extent that it made them feel unsure about the decision. Subscores with regard to feeling uninformed and on uncertainty, contributed the most to decisional conflict, as 36% felt uninformed and 17% of patients were not satisfied with their decision. HRQoL was not influenced by patient experience with decision-making or patient preferences for shared decision making. Dutch early-stage NSCLC patients find it important to be involved in treatment decision making. Yet a substantial proportion experiences decisional conflict and feels uninformed. Better patient information and/or involvement in treatment-decision-making is needed in order to improve patient knowledge and hopefully reduce decisional conflict.

  17. What’s Important to the Patient?: Informational Needs of Patients Making Decisions about Hepatitis C Treatment

    PubMed Central

    Evon, Donna M.; Golin, Carol E.; Stoica, Teodora; Jones, Rachel; Willis, Sarah; Galanko, Joseph; Fried, Michael W.

    2017-01-01

    Background & Objectives Multiple treatment options with direct-acting antivirals (DAAs) are now available for hepatitis C virus (HCV). Study aims were to understand (1) The informational topics patients want to have to make informed treatment decisions; (2) The importance patients place on each topic; and (3) The topics patients prioritize as most important. Methods Mixed methods study utilizing two samples recruited from an academic liver center. Participants were not currently on treatment. Sample I (n=45) free-listed all informational topics deemed important to decision-making. Raw responses were coded into several broad and subcategories. Sample II (n=38) rated the importance of the subcategories from Sample I and ranked their highest priorities on two surveys, one containing topics for which sufficient research existed to inform patients (“static”), and the other containing topics that would require additional research. Results The topics listed by Sample I fell into 6 broad categories with 17 total subcategories. The most oft-cited informational topics were harms of treatment (100%), treatment benefits (62%) and treatment regimen details (84%). Sample II rated 16 of 17 subcategories as “pretty important’ or “extremely important.” Sample II prioritized (1) viral cure, (2) long-term survival, and (3) side effects on the survey of topics requiring additional research, and (1) liver disease, (2) lifestyle changes, and (3) medication details on the second survey of the most important static topics patients needed. Conclusions Patients weighed several informational topics to make an informed decision about HCV treatment. These findings lay the groundwork for future patient-centered outcomes research in HCV and patient-provider communication to enhance patients’ informed decision-making regarding DAA treatment options. PMID:27882509

  18. Medical Patients’ Treatment Decision Making Capacity: A Report from a General Hospital in Greece

    PubMed Central

    Bilanakis, Nikolaos; Vratsista, Aikaterini; Athanasiou, Eleni; Niakas, Dimitris; Peritogiannis, Vaios

    2014-01-01

    This study aimed to assess the decision-making capacity for treatment of patients hospitalized in an internal medicine ward of a General Hospital in Greece, and to examine the views of treating physicians regarding patients’ capacity. All consecutive admissions to an internal medicine ward within a month were evaluated. A total of 134 patients were approached and 78 patients were interviewed with the MacArthur Competence Assessment Tool for Treatment (MacCAT-T) and the Mini Mental State Examination (MMSE) questionnaire. Sixty-eight out of 134 patients (50.7%) were incompetent to decide upon their treatment. The majority of them (n=56, 41.8%) were obviously incapable because they were unconscious, or had such marked impairment that they could not give their own names, and the rest (n=12, 8.9%) were rated as incompetent according to their performance in the MacCAT-T. Neurological disorders, old age and altered cognitive function according to MMSE were negatively correlated with decision making capacity. Physicians sometimes failed to recognize patients’ incapacity. Rates of decision-making incapacity for treatment in medical inpatients are high, and incapacity may go unrecognized by treating physicians. Combined patient evaluation with the use of the MacCAT-T and MMSE, could be useful for the determination of incapable patients. PMID:25505489

  19. ENABLING SMART MANUFACTURING TECHNOLOGIES FOR DECISION-MAKING SUPPORT

    PubMed Central

    Helu, Moneer; Libes, Don; Lubell, Joshua; Lyons, Kevin; Morris, KC

    2017-01-01

    Smart manufacturing combines advanced manufacturing capabilities and digital technologies throughout the product lifecycle. These technologies can provide decision-making support to manufacturers through improved monitoring, analysis, modeling, and simulation that generate more and better intelligence about manufacturing systems. However, challenges and barriers have impeded the adoption of smart manufacturing technologies. To begin to address this need, this paper defines requirements for data-driven decision making in manufacturing based on a generalized description of decision making. Using these requirements, we then focus on identifying key barriers that prevent the development and use of data-driven decision making in industry as well as examples of technologies and standards that have the potential to overcome these barriers. The goal of this research is to promote a common understanding among the manufacturing community that can enable standardization efforts and innovation needed to continue adoption and use of smart manufacturing technologies. PMID:28649678

  20. Changing Patients' Treatment Preferences and Values with a Decision Aid for Type 2 Diabetes Mellitus: Results from the Treatment Arm of a Randomized Controlled Trial.

    PubMed

    Bailey, Robert A; Shillington, Alicia C; Harshaw, Qing; Funnell, Martha M; VanWingen, Jeffrey; Col, Nananda

    2018-04-01

    Failure to intensify treatment for type 2 diabetes mellitus (T2DM) when indicated, or clinical inertia, is a major obstacle to achieving optimal glucose control. This study investigates the impact of a values-focused patient decision aid (PDA) for T2DM antihyperglycemic agent intensification on patient values related to domains important in decision-making and preferred treatments. Patients with poorly controlled T2DM who were taking a metformin-containing regimen were recruited through physicians to access a PDA presenting evidence-based information on T2DM and antihyperglycemic agent class options. Participants' preferences for treatment, decision-making, and the relative importance they placed on various values related to treatment options (e.g., dosing, weight gain, side effects) were assessed before and after interacting with the PDA. Changes from baseline were calculated (post-PDA minus pre-PDA difference) and assessed in univariate generalized linear models exploring associations with patients' personal values. Analyses included 114 diverse patients from 27 clinics across the US. The importance of avoiding injections, concern about hypoglycemia, and taking medications only once a day significantly decreased after interacting with the PDA [- 1.1 (p = 0.002), - 1.3 (p < 0.001), - 1.1 (p = 0.004), respectively], while the importance of taking medications that avoided weight gain increased [0.8 (p = 0.004)]. Prior to viewing the PDA, most patients (58.8%) had not begun thinking about the decision of adding a medication, and few (12.3%) indicated that they had already made a decision. Post-PDA, 46.5% could state a medication preference. The values-focused PDA for T2DM medication intensification prepared patients to make a shared decision with their clinician and changed patients' values regarding what was important in making that decision. Helping patients understand their options and underlying values can promote shared decision-making and may reduce

  1. Participation in treatment decision-making among Chinese-Australian women with breast cancer.

    PubMed

    Kwok, Cannas; Koo, Fung Kuen

    2017-03-01

    Using Confucian philosophy as a conceptual framework, this article examines the extent to which cultural values and language affect the participation preferences and experiences of the breast cancer treatment decision-making (TDM) process among Chinese women with breast cancer in Australia. Three focus groups were conducted with 23 Chinese-Australian women diagnosed with breast cancer in their native language (Mandarin and Cantonese). Each interview was translated and transcribed. Content analysis was used to uncover the major themes. Four typologies emerged: the patient as an active decision maker, the patient as a passive decision maker, the patient as a reluctant decision maker and the patient as a reluctant passive decision maker. Language barriers, cultural expectation of doctor's role and family role in Chinese culture appear as influential factors in TDM process among this group of women. Intervention to improve doctors' cultural sensitivities in order to help them assess women's role preferences in TDM and the ability of doctors to communicate in a culturally appropriate manner, may improve the process of breast cancer TDM among women from Chinese background.

  2. Parents' roles in decision making for children with cancer in the first year of cancer treatment.

    PubMed

    Mack, Jennifer W; Wolfe, Joanne; Cook, E Francis; Grier, Holcombe E; Cleary, Paul D; Weeks, Jane C

    2011-05-20

    To evaluate the extent to which parents of children with cancer are involved in decision making in the ways they prefer during the first year of treatment. We conducted a cross-sectional survey of 194 parents of children with cancer (response rate, 70%) in their first year of cancer treatment at the Dana-Farber Cancer Institute and Children's Hospital (Boston, MA) and the children's physicians. We measured parents' preferred and actual roles in decision making and physician perceptions of parents' preferred roles. Most parents (127 of 192; 66%) wanted to share responsibility for decision making with their children's physician. Although most parents (122 of 192; 64%) reported that they had their preferred role in decision making, those who did not tended to have more passive roles than they wished (47 of 70; 67%; P < .001). Parents were no more likely to hold their ideal roles in decision making when the physician accurately identified the parents' preferred role (odds ratio [OR], 1.04; P = .92). Parents were less likely to hold more passive roles than they wished in decision making when they felt that physician communication (OR, 0.39; P = .04) and information received (OR, 0.45; P = .04) had been of high quality. Parents who held more passive roles than they wished in decision making were less likely to trust their physicians' judgments (OR, 0.46; P = .03). Most parents of children in their first year of cancer treatment participate in decision making to the extent that they wish; although, nearly one fourth hold more passive roles than desired. High-quality physician communication is associated with attainment of one's preferred role.

  3. The Application of Climate Risk Informed Decision Analysis to the Ioland Water Treatment Plant in Lusaka, Zambia

    NASA Astrophysics Data System (ADS)

    Kucharski, John; Tkach, Mark; Olszewski, Jennifer; Chaudhry, Rabia; Mendoza, Guillermo

    2016-04-01

    This presentation demonstrates the application of Climate Risk Informed Decision Analysis (CRIDA) at Zambia's principal water treatment facility, The Iolanda Water Treatment Plant. The water treatment plant is prone to unacceptable failures during periods of low hydropower production at the Kafue Gorge Dam Hydroelectric Power Plant. The case study explores approaches of increasing the water treatment plant's ability to deliver acceptable levels of service under the range of current and potential future climate states. The objective of the study is to investigate alternative investments to build system resilience that might have been informed by the CRIDA process, and to evaluate the extra resource requirements by a bilateral donor agency to implement the CRIDA process. The case study begins with an assessment of the water treatment plant's vulnerability to climate change. It does so by following general principals described in "Confronting Climate Uncertainty in Water Resource Planning and Project Design: the Decision Tree Framework". By utilizing relatively simple bootstrapping methods a range of possible future climate states is generated while avoiding the use of more complex and costly downscaling methodologies; that are beyond the budget and technical capacity of many teams. The resulting climate vulnerabilities and uncertainty in the climate states that produce them are analyzed as part of a "Level of Concern" analysis. CRIDA principals are then applied to this Level of Concern analysis in order to arrive at a set of actionable water management decisions. The principal goals of water resource management is to transform variable, uncertain hydrology into dependable services (e.g. water supply, flood risk reduction, ecosystem benefits, hydropower production, etc…). Traditional approaches to climate adaptation require the generation of predicted future climate states but do little guide decision makers how this information should impact decision making. In

  4. The measure of treatment agreement between portable and laboratory blood gas measurements in guiding protocol-driven ventilator management.

    PubMed

    Thomas, Frank O; Hoffman, Terri L; Handrahan, Diana L; Crapo, Robert O; Snow, Greg

    2009-08-01

    Portable blood gas analyzer and monitor devices are increasingly being used to direct ventilator therapy. The purpose of this study was to evaluate the "measure of treatment agreement" between portable and laboratory blood gas measurements used in guiding protocol-driven ventilator management. Using National Institutes of Health Acute Respiratory Distress Syndrome network ventilator management guidelines to manage patient care, measurements taken from the Nonin 8500 M pulse oximeter (SpO2), the Novametrix-610 end-tidal CO2 (ETCO2) detector, and the i-STAT 1 (SaO2, PO2, pH, PCO2) were compared with the recommended treatment from paired laboratory ABL-725 (SaCO2, PO2, pH, PCO2) measurements. Four hundred forty-six intubated adult intensive care unit patients were studied prospectively. Except for the ETCO2 (R2 = 0.460), correlation coefficients between portable and laboratory measurements were high (R2 > or = 0.755). Testing for equivalence, the Nonin-SpO2, iSTAT-PO2, iSTAT-pH, and iSTAT-PCO2 were deemed "equivalent" surrogates to paired ABL measurements. Testing for the limits of agreement found only the iSTAT-PCO2 to be an acceptable surrogate measurement. The measure of treatment agreement between the portable and paired laboratory blood gas measurements were Nonin-SpO2 (68%), iSTAT-SaO2 (73%), iSTAT-PO2 (97%), iSTAT-pH (88%), iSTAT-PCO2 (95%), and Novametrix-ETCO2 (60%). Only the iSTAT-PO2 and the iSTAT-PCO2 achieved the > or =95% treatment agreement threshold to be considered as acceptable surrogates to laboratory measurements. : The iSTAT-PO2 and -PCO2 were portable device measurements acceptable as surrogates to standard clinical laboratory blood gas measurements in guiding protocol-directed ventilator management. The "measure of treatment agreement," based on standardized decisions and measurement thresholds of a protocol, provides a simple method for assessing clinical validity of surrogate measurements.

  5. The utility of case formulation in treatment decision making; the effect of experience and expertise.

    PubMed

    Dudley, Robert; Ingham, Barry; Sowerby, Katy; Freeston, Mark

    2015-09-01

    We examined whether case formulation guides the endorsement of appropriate treatment strategies. We also considered whether experience and training led to more effective treatment decisions. To examine these questions two related studies were conducted both of which used a novel paradigm using clinically relevant decision-making tasks with multiple sources of information. Study one examined how clinicians utilised a pre-constructed CBT case formulation to plan treatment. Study two utilised a clinician-generated formulation to further examine the process of formulation development and the impact on treatment planning. Both studies considered the effect of therapist experience. Both studies indicated that clinicians used the case formulation to select treatment choices that were highly matched to the case as described in the vignette. However, differences between experts and novice clinicians were only demonstrated when clinicians developed their own formulations of case material. When they developed their own formulations the experts' formulations were more parsimonious, internally consistent, and contained fewer errors and the experts were less swayed by irrelevant treatment options. The nature of the experimental task, involving ratings of suitability of possible treatment options suggested for the case, limits the interpretation that formulation directs the development or generation of the clinician's treatment plan. In study two the task may still have limited the capacity to demonstrate further differences between expert and novice therapists. Formulation helps guide certain aspects of effective treatment decision making. When asked to generate a formulation clinicians with greater experience and expertise do this more effectively. Crown Copyright © 2015. Published by Elsevier Ltd. All rights reserved.

  6. Effects of Temperature and Acidic Pre-Treatment on Fenton-Driven Oxidation of MTBE-Spent Granular Activated Carbon

    EPA Science Inventory

    Temperature-dependent mechanisms in the Fenton-driven chemical oxidation of methyl tert-butyl ether (MTBE)-spent granular activated carbon (GAC) was investigated. Prior to iron (Fe) amendment to the GAC, acid-treatment altered the surface chemistry of the GAC and lowered the pH ...

  7. Physicians' evaluations of patients' decisions to refuse oncological treatment

    PubMed Central

    van Kleffens, T; van Leeuwen, E

    2005-01-01

    Objective: To gain insight into the standards of rationality that physicians use when evaluating patients' treatment refusals. Design of the study: Qualitative design with indepth interviews. Participants: The study sample included 30 patients with cancer and 16 physicians (oncologists and general practitioners). All patients had refused a recommended oncological treatment. Results: Patients base their treatment refusals mainly on personal values and/or experience. Physicians mainly emphasise the medical perspective when evaluating patients' treatment refusals. From a medical perspective, a patient's treatment refusal based on personal values and experience is generally evaluated as irrational and difficult to accept, especially when it concerns a curative treatment. Physicians have a different attitude towards non-curative treatments and have less difficulty accepting a patient's refusal of these treatments. Thus, an important factor in the physician's evaluation of a treatment refusal is whether the treatment refused is curative or non-curative. Conclusion: Physicians mainly use goal oriented and patients mainly value oriented rationality, but in the case of non-curative treatment refusal, physicians give more emphasis to value oriented rationality. A consensus between the value oriented approaches of patient and physician may then emerge, leading to the patient's decision being understood and accepted by the physician. The physician's acceptance is crucial to his or her attitude towards the patient. It contributes to the patient's feeling free to decide, and being understood and respected, and thus to a better physician–patient relationship. PMID:15738431

  8. Survey of controversial issues of end-of-life treatment decisions in Korea: similarities and discrepancies between healthcare professionals and the general public

    PubMed Central

    2013-01-01

    Introduction End-of-life (EOL) treatment issues have recently gained societal attention after the Korean Supreme Court’s ruling that the presumed wishes of an elderly woman in a persistent vegetative state (PVS) should be honored. We tried to evaluate what Koreans thought about controversial issues regarding EOL treatments. Methods We surveyed Koreans with the following questions: 1) are ventilator-dependent PVS patients candidates for end-of life treatment decisions? 2) Is withholding and withdrawing EOL treatment the same thing? 3) In an unconscious, terminally ill patient, whose wishes are unknown, how should EOL decisions be made? 4) How should we settle disagreement amongst medical staff and the patient’s family on EOL decisions? Results One thousand Koreans not working in healthcare and five hundred healthcare professionals responded to the survey. Fifty-seven percent of Koreans not working in healthcare and sixty seven percent of Korean healthcare professionals agreed that ventilator-dependent PVS patients are candidates for EOL treatment decisions. One quarter of all respondents regarded withholding and withdrawing EOL treatment as equal. Over 50% thought that EOL treatment decisions should be made through discussions between the physician and the patient’s family. For conflict resolution, 75% of Koreans not working in healthcare preferred direct settlement between the medical staff and the patient’s family while 55% of healthcare professionals preferred the hospital ethics committee. Conclusions Unsettled issues in Korea regarding EOL treatment decision include whether to include ventilator-dependent PVS patients as candidates of EOL treatment decision and how to sort out disagreements regarding EOL treatment decisions. Koreans viewed withholding and withdrawing EOL treatment issues differently. PMID:24093519

  9. Emotion and decision-making: affect-driven belief systems in anxiety and depression.

    PubMed

    Paulus, Martin P; Yu, Angela J

    2012-09-01

    Emotion processing and decision-making are integral aspects of daily life. However, our understanding of the interaction between these constructs is limited. In this review, we summarize theoretical approaches that link emotion and decision-making, and focus on research with anxious or depressed individuals to show how emotions can interfere with decision-making. We integrate the emotional framework based on valence and arousal with a Bayesian approach to decision-making in terms of probability and value processing. We discuss how studies of individuals with emotional dysfunctions provide evidence that alterations of decision-making can be viewed in terms of altered probability and value computation. We argue that the probabilistic representation of belief states in the context of partially observable Markov decision processes provides a useful approach to examine alterations in probability and value representation in individuals with anxiety and depression, and outline the broader implications of this approach. Copyright © 2012. Published by Elsevier Ltd.

  10. Emotion and decision-making: affect-driven belief systems in anxiety and depression

    PubMed Central

    Paulus, Martin P.; Yu, Angela J.

    2012-01-01

    Emotion processing and decision-making are integral aspects of daily life. However, our understanding of the interaction between these constructs is limited. In this review, we summarize theoretical approaches to the link between emotion and decision-making, and focus on research with anxious or depressed individuals that reveals how emotions can interfere with decision-making. We integrate the emotional framework based on valence and arousal with a Bayesian approach to decision-making in terms of probability and value processing. We then discuss how studies of individuals with emotional dysfunctions provide evidence that alterations of decision-making can be viewed in terms of altered probability and value computation. We argue that the probabilistic representation of belief states in the context of partially observable Markov decision processes provides a useful approach to examine alterations in probability and value representation in individuals with anxiety and depression and outline the broader implications of this approach. PMID:22898207

  11. Involvement in decisions about intravenous treatment for nursing home patients: nursing homes versus hospital wards.

    PubMed

    Klomstad, Kristin; Pedersen, Reidar; Førde, Reidun; Romøren, Maria

    2018-05-08

    Many of the elderly in nursing homes are very ill and have a reduced quality of life. Life expectancy is often hard to predict. Decisions about life-prolonging treatment should be based on a professional assessment of the patient's best interest, assessment of capacity to consent, and on the patient's own wishes. The purpose of this study was to investigate and compare how these types of decisions were made in nursing homes and in hospital wards. Using a questionnaire, we studied the decision-making process for 299 nursing home patients who were treated for dehydration using intravenous fluids, or for bacterial infections using intravenous antibiotics. We compared the 215 (72%) patients treated in nursing homes to the 84 (28%) nursing home patients treated in the hospital. The patients' capacity to consent was considered prior to treatment in 197 (92%) of the patients treated in nursing homes and 56 (67%) of the patients treated in hospitals (p < 0.001). The answers indicate that capacity to consent can be difficult to assess. Patients that were considered capable to consent, were more often involved in the decision-making in nursing homes than in hospital (90% vs. 52%). Next of kin and other health personnel were also more rarely involved when the nursing home patient was treated in hospital. Whether advance care planning had been carried out, was more often unknown in the hospital (69% vs. 17% in nursing homes). Hospital doctors expressed more doubt about the decision to admit the patient to the hospital than about the treatment itself. This study indicates a potential for improvement in decision-making processes in general, and in particular when nursing home patients are treated in a hospital ward. The findings corroborate that nursing home patients should be treated locally if adequate health care and treatment is available. The communication between the different levels of health care when hospitalization is necessary, must be better. Clinical

  12. The influence of expert opinions on the selection of wastewater treatment alternatives: a group decision-making approach.

    PubMed

    Kalbar, Pradip P; Karmakar, Subhankar; Asolekar, Shyam R

    2013-10-15

    The application of multiple-attribute decision-making (MADM) to real life decision problems suggests that avoiding the loss of information through scenario-based approaches and including expert opinions in the decision-making process are two major challenges that require more research efforts. Recently, a wastewater treatment technology selection effort has been made with a 'scenario-based' method of MADM. This paper focuses on a novel approach to incorporate expert opinions into the scenario-based decision-making process, as expert opinions play a major role in the selection of treatment technologies. The sets of criteria and the indicators that are used consist of both qualitative and quantitative criteria. The group decision-making (GDM) approach that is implemented for aggregating expert opinions is based on an analytical hierarchy process (AHP), which is the most widely used MADM method. The pairwise comparison matrices (PCMs) for qualitative criteria are formed based on expert opinions, whereas, a novel approach is proposed for generating PCMs for quantitative criteria. It has been determined that the experts largely prefer natural treatment systems because they are more sustainable in any scenario. However, PCMs based on expert opinions suggest that advanced technologies such as the sequencing batch reactor (SBR) can also be appropriate for a given decision scenario. The proposed GDM approach is a rationalized process that will be more appropriate in realistic scenarios where multiple stakeholders with local and regional societal priorities are involved in the selection of treatment technology. Copyright © 2013 Elsevier Ltd. All rights reserved.

  13. Student decision making in large group discussion

    NASA Astrophysics Data System (ADS)

    Kustusch, Mary Bridget; Ptak, Corey; Sayre, Eleanor C.; Franklin, Scott V.

    2015-04-01

    It is increasingly common in physics classes for students to work together to solve problems and perform laboratory experiments. When students work together, they need to negotiate the roles and decision making within the group. We examine how a large group of students negotiates authority as part of their two week summer College Readiness Program at Rochester Institute of Technology. The program is designed to develop metacognitive skills in first generation and Deaf and hard-of-hearing (DHH) STEM undergraduates through cooperative group work, laboratory experimentation, and explicit reflection exercises. On the first full day of the program, the students collaboratively developed a sign for the word ``metacognition'' for which there is not a sign in American Sign Language. This presentation will focus on three aspects of the ensuing discussion: (1) how the instructor communicated expectations about decision making; (2) how the instructor promoted student-driven decision making rather than instructor-driven policy; and (3) one student's shifts in decision making behavior. We conclude by discussing implications of this research for activity-based physics instruction.

  14. Decision-making capacity should not be decisive in emergencies.

    PubMed

    Hubbeling, Dieneke

    2014-05-01

    Examples of patients with anorexia nervosa, depression or borderline personality disorder who have decision-making capacity as currently operationalized, but refuse treatment, are discussed. It appears counterintuitive to respect their treatment refusal because their wish seems to be fuelled by their illness and the consequences of their refusal of treatment are severe. Some proposed solutions have focused on broadening the criteria for decision-making capacity, either in general or for specific patient groups, but these adjustments might discriminate against particular groups of patients and render the process less transparent. Other solutions focus on preferences expressed when patients are not ill, but this information is often not available. The reason for such difficulties with assessing decision-making capacity is that the underlying psychological processes of normal decision-making are not well known and one cannot differentiate between unwise decisions caused by an illness or other factors. The proposed alternative, set out in this paper, is to allow compulsory treatment of patients with decision-making capacity in cases of an emergency, if the refusal is potentially life threatening, but only for a time-limited period. The argument is also made for investigating hindsight agreement, in particular after compulsory measures.

  15. Model averaging in the presence of structural uncertainty about treatment effects: influence on treatment decision and expected value of information.

    PubMed

    Price, Malcolm J; Welton, Nicky J; Briggs, Andrew H; Ades, A E

    2011-01-01

    Standard approaches to estimation of Markov models with data from randomized controlled trials tend either to make a judgment about which transition(s) treatments act on, or they assume that treatment has a separate effect on every transition. An alternative is to fit a series of models that assume that treatment acts on specific transitions. Investigators can then choose among alternative models using goodness-of-fit statistics. However, structural uncertainty about any chosen parameterization will remain and this may have implications for the resulting decision and the need for further research. We describe a Bayesian approach to model estimation, and model selection. Structural uncertainty about which parameterization to use is accounted for using model averaging and we developed a formula for calculating the expected value of perfect information (EVPI) in averaged models. Marginal posterior distributions are generated for each of the cost-effectiveness parameters using Markov Chain Monte Carlo simulation in WinBUGS, or Monte-Carlo simulation in Excel (Microsoft Corp., Redmond, WA). We illustrate the approach with an example of treatments for asthma using aggregate-level data from a connected network of four treatments compared in three pair-wise randomized controlled trials. The standard errors of incremental net benefit using structured models is reduced by up to eight- or ninefold compared to the unstructured models, and the expected loss attaching to decision uncertainty by factors of several hundreds. Model averaging had considerable influence on the EVPI. Alternative structural assumptions can alter the treatment decision and have an overwhelming effect on model uncertainty and expected value of information. Structural uncertainty can be accounted for by model averaging, and the EVPI can be calculated for averaged models. Copyright © 2011 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights

  16. Patients' experiences of communication and involvement in decision-making about atrial fibrillation treatment in consultations with nurses and physicians.

    PubMed

    Siouta, Eleni; Hellström Muhli, Ulla; Hedberg, Berith; Broström, Anders; Fossum, Bjöörn; Karlgren, Klas

    2016-09-01

    Insights in consultations across patient interactions with physicians and nurses are of vital importance for strengthening the patients' involvement in the treatment decision-making process. The experience of involvement and communication in decision-making from the patients' perspective has been sparsely explored. To examine how patients describe involvement in and communication about decision-making regarding treatment in consultations with nurses and physicians. Twenty-two patients with atrial fibrillation (AF), aged 37-90 years, were interviewed directly after their consultations with nurses and physicians in outpatient AF clinics in six Swedish hospitals. In consultations with nurses, the patients felt involved when obtaining clarifications about AF as a disease and its treatment and when preparing for and building up confidence in decision-making. In consultations with physicians, the patients felt involved when they could cooperate in decision-making, when acquiring knowledge, and when they felt that they were being understood. One shared category was found in consultations with both nurses and physicians, and the patients felt involved when they had a sense of trust and felt secure during and between consultations. Patients with AF stated that they would need to acquire knowledge and build up confidence and ability in order to be effectively involved in the decision-making about treatment. Despite not being actively involved in decision-making, patients felt involved through experiencing supportive and confirming communication. Attention must be given to the relationship with the patient to create the conditions for patient involvement in the consultation. This can be achieved through supportive communication attempting to create a feeling of clarity and building confidence. This will support involvement in decision-making concerning AF treatment and feelings of being understood and of trust in physicians and/or nurses. © 2015 Nordic College of Caring

  17. The impact of social relations among men and women in fertility treatment on the decision to terminate treatment.

    PubMed

    Vassard, Ditte; Lund, Rikke; Pinborg, Anja; Boivin, Jacky; Schmidt, Lone

    2012-12-01

    Do social support and social strain from social relations have an impact on the decision to terminate fertility treatment among men and women after 1 year of unsuccessful treatment? Several functional aspects of social relations show an impact on the probability to terminate treatment; social support from family significantly decreases the probability to terminate and experience of conflicts or problematic communication with the partner significantly increases the probability to terminate treatment. Fertility patients can experience psychological, physical and economical strain as consequences of infertility and fertility treatment, and previous studies have shown that these pressures increase the probability of deciding to terminate treatment before the treatment options are exhausted. Some studies have indicated that social relations can also have an effect. This study is part of the prospective Infertility Cohort from the Copenhagen Multi-centre Psychosocial Infertility Research Programme. Baseline data were collected during January 2000-August 2001 among patients recruited at five Danish fertility clinics during their initial visit and follow-up data were collected after 1 year. The study group (n = 777; 427 women, 350 men) consisted of patients who did not achieve a live birth or an ongoing pregnancy during follow-up. Social support and strain from the patients' partner, family, family-in-law, friends and colleagues were measured at baseline and the decision to terminate treatment while treatment options were not yet exhausted was measured as the outcome at the 1-year follow-up. At the 1-year follow-up, 23% of the study group had decided to terminate treatment. For women, low levels of family support, specifically with regard to infertility, were associated with the termination of treatment after 1 year [odds ratio (OR) 6.1, 95% confidence interval (CI) 2.2-16.8] and, for men, low levels of general family support had a similar impact (OR 2.6, 95% CI 1

  18. Rational decision-making about treatment and care in dementia: a contradiction in terms?

    PubMed

    Wolfs, Claire A G; de Vugt, Marjolein E; Verkaaik, Mike; Haufe, Marc; Verkade, Paul-Jeroen; Verhey, Frans R J; Stevens, Fred

    2012-04-01

    To gain caregivers' insights into the decision-making process in dementia patients with regard to treatment and care. Four focus group interviews (n=29). The decision-making process consists of three elementary components: (1) identifying an individual's needs; (2) exploring options; and (3) making a choice. The most important phase is the exploration phase as it is crucial for the acceptance of the disease. Furthermore, the decision is experienced more as an emotional choice than a rational one. It is influenced by personal preferences whereas practical aspects do not seem to play a substantial role. Several aspects make decision-making in dementia different from decision-making in the context of other chronic diseases: (1) the difficulty accepting dementia; (2) the progressive nature of dementia; (3) patient's reliance on surrogate decision-making; and (4) strong emotions. Due to these aspects, the decision-making process is very time-consuming, especially the crucial exploration phase. A more active role is required of both the caregiver and the health care professional especially in the exploration phase, enabling easier acceptance and adjustment to the disease. Acceptance is an important condition for reducing anxiety and resistance to care that may offer significant benefits in the future. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

  19. Gd-EOB-DTPA-enhanced MRI is better than MDCT in decision making of curative treatment for hepatocellular carcinoma.

    PubMed

    Yoo, Sun Hong; Choi, Jong Young; Jang, Jeong Won; Bae, Si Hyun; Yoon, Seung Kew; Kim, Dong Goo; Yoo, Young Kyoung; Rha, Sung Eun; Lee, Young Joon; Jung, Eun Sun

    2013-09-01

    We assessed the change in the therapeutic decision among curative treatments after adding Gd-EOB-DTPA-enhanced MRI to triple-phase MDCT for patients with early-stage HCC. This study retrospectively investigated two groups: 33 pathologically confirmed HCC patients after liver transplantation in group 1; 34 HCC patients without pathology in group 2. In group 1, we simulated the therapeutic decision-making process by pretransplant MDCT and Gd-EOB-DTPA-enhanced MRI. In group 2, including the 34 early-stage HCC patients consecutively enrolled, we investigated the change of therapeutic decision after adding Gd-EOB-DTPA-enhanced MRI to MDCT. In the simulation from group 1, after adding Gd-EOB-DTPA-enhanced MRI, 33.3% (11/33 patients) of treatment decisions were changed from the decision based on MDCT alone. Among 22 patients considered eligible for resection and 33 patients for radiofrequency ablation, the therapeutic decision was changed for 10 patients in the surgical group and 4 patients for the RFA group (45.5 and 12.1%). In group 2, the rate of change in the therapeutic decision after adding Gd-EOB-DTPA-enhanced MRI to MDCT was 41.2% (14/34 patients). In group 1 with explants pathology, the median diameter of HCCs not detected by MDCT but detected by Gd-EOB-DTPA-enhanced MRI was 1.15 cm (0.3-3.0 cm). The median diameter of HCCs seen only in the explanted liver was 1.0 cm (0.3-1.7 cm), and 60.7% of them were well-differentiated HCCs. This study suggests that performing Gd-EOB-DTPA-enhanced MRI before deciding on curative treatment for early-stage HCC may improve the accuracy of treatment decision for early-stage HCC.

  20. Navigating high-risk surgery: protocol for a multisite, stepped wedge, cluster-randomised trial of a question prompt list intervention to empower older adults to ask questions that inform treatment decisions

    PubMed Central

    Taylor, Lauren J; Rathouz, Paul J; Berlin, Ana; Brasel, Karen J; Mosenthal, Anne C; Finlayson, Emily; Cooper, Zara; Steffens, Nicole M; Jacobson, Nora; Buffington, Anne; Tucholka, Jennifer L; Zhao, Qianqian; Schwarze, Margaret L

    2017-01-01

    Introduction Older patients frequently undergo operations that carry high risk for postoperative complications and death. Poor preoperative communication between patients and surgeons can lead to uninformed decisions and result in unexpected outcomes, conflict between surgeons and patients, and treatment inconsistent with patient preferences. This article describes the protocol for a multisite, cluster-randomised trial that uses a stepped wedge design to test a patient-driven question prompt list (QPL) intervention aimed to improve preoperative decision making and inform postoperative expectations. Methods and analysis This Patient-Centered Outcomes Research Institute-funded trial will be conducted at five academic medical centres in the USA. Study participants include surgeons who routinely perform vascular or oncological surgery, their patients and families. We aim to enrol 40 surgeons and 480 patients over 24 months. Patients age 65 or older who see a study-enrolled surgeon to discuss a vascular or oncological problem that could be treated with high-risk surgery will be enrolled at their clinic visit. Together with stakeholders, we developed a QPL intervention addressing preoperative communication needs of patients considering major surgery. Guided by the theories of self-determination and relational autonomy, this intervention is designed to increase patient activation. Patients will receive the QPL brochure and a letter from their surgeon encouraging its use. Using audio recordings of the outpatient surgical consultation, patient and family member questionnaires administered at three time points and retrospective chart review, we will compare the effectiveness of the QPL intervention to usual care with respect to the following primary outcomes: patient engagement in decision making, psychological well-being and post-treatment regret for patients and families, and interpersonal and intrapersonal conflict relating to treatment decisions and treatments received

  1. eHealth Literacy and Partner Involvement in Treatment Decision Making for Men With Newly Diagnosed Localized Prostate Cancer.

    PubMed

    Song, Lixin; Tatum, Kimberly; Greene, Giselle; Chen, Ronald C

    2017-03-01

    To examine how the eHealth literacy of partners of patients with newly diagnosed prostate cancer affects their involvement in decision making, and to identify the factors that influence their eHealth literacy.
. Cross-sectional exploratory study.
. North Carolina.
. 142 partners of men with newly diagnosed localized prostate cancer. 
. A telephone survey and descriptive and multiple linear regression analyses were used.
. The partners' eHealth literacy, involvement in treatment decision making, and demographics, and the health statuses of the patients and their partners. 
. Higher levels of eHealth literacy among partners were significantly associated with their involvement in getting a second opinion, their awareness of treatment options, and the size of the social network they relied on for additional information and support for treatment decision making for prostate cancer. The factor influencing eHealth literacy was the partners' access to the Internet for personal use, which explained some of the variance in eHealth literacy.
. This study described how partners' eHealth literacy influenced their involvement in treatment decision making for prostate cancer and highlighted the influencing factors (i.e., partners' access to the Internet for personal use).
. When helping men with prostate cancer and their partners with treatment decision making, nurses need to assess eHealth literacy levels to determine whether nonelectronically based education materials are needed and to provide clear instructions on how to use eHealth resources.

  2. Treatment Decision Regret Among Long-Term Survivors of Localized Prostate Cancer: Results From the Prostate Cancer Outcomes Study.

    PubMed

    Hoffman, Richard M; Lo, Mary; Clark, Jack A; Albertsen, Peter C; Barry, Michael J; Goodman, Michael; Penson, David F; Stanford, Janet L; Stroup, Antoinette M; Hamilton, Ann S

    2017-07-10

    Purpose To determine the demographic, clinical, decision-making, and quality-of-life factors that are associated with treatment decision regret among long-term survivors of localized prostate cancer. Patients and Methods We evaluated men who were age ≤ 75 years when diagnosed with localized prostate cancer between October 1994 and October 1995 in one of six SEER tumor registries and who completed a 15-year follow-up survey. The survey obtained demographic, socioeconomic, and clinical data and measured treatment decision regret, informed decision making, general- and disease-specific quality of life, health worry, prostate-specific antigen (PSA) concern, and outlook on life. We used multivariable logistic regression analyses to identify factors associated with regret. Results We surveyed 934 participants, 69.3% of known survivors. Among the cohort, 59.1% had low-risk tumor characteristics (PSA < 10 ng/mL and Gleason score < 7), and 89.2% underwent active treatment. Overall, 14.6% expressed treatment decision regret: 8.2% of those whose disease was managed conservatively, 15.0% of those who received surgery, and 16.6% of those who underwent radiotherapy. Factors associated with regret on multivariable analysis included reporting moderate or big sexual function bother (reported by 39.0%; OR, 2.77; 95% CI, 1.51 to 5.0), moderate or big bowel function bother (reported by 7.7%; OR, 2.32; 95% CI, 1.04 to 5.15), and PSA concern (mean score 52.8; OR, 1.01 per point change; 95% CI, 1.00 to 1.02). Increasing age at diagnosis and report of having made an informed treatment decision were inversely associated with regret. Conclusion Regret was a relatively infrequently reported outcome among long-term survivors of localized prostate cancer; however, our results suggest that better informing men about treatment options, in particular, conservative treatment, might help mitigate long-term regret. These findings are timely for men with low-risk cancers who are being encouraged to

  3. Treatment decision-making in chronic diseases: What are the family members' roles, needs and attitudes? A systematic review.

    PubMed

    Lamore, Kristopher; Montalescot, Lucile; Untas, Aurélie

    2017-12-01

    This systematic review aims to examine the roles of family members (FMs) in treatment decision-making for adult patients without cognitive or psychiatric disorders affecting their ability to participate in decision-making. A comprehensive, systematic search of the Cochrane Library, PsycINFO, PubMed and ScienceDirect databases, with relevant keywords, was conducted. Two authors evaluated the eligibility of the studies independently, then cross-checked for accuracy. The quality of included studies were assessed using standardized criteria. Out of the 12.137 studies identified, 40 were included. Results highlighted the different roles and influences FMs have in the decision-making process. Moreover, several factors ranging from personal to cultural and family-related factors influence their level of involvement. Regardless of the illness, some similarities in family influence exist (e.g., social support). However, the type of family involvement varies according to the illness, the treatment choice and the patients' culture. FMs have an important role in the decision-making process. In fact, the final decision is often made by the patients after consulting their families. FMs can support both patients and medical teams, and thus facilitate the process. Physicians should include FMs in treatment decision-making when the patients and their FMs wish to be included. Copyright © 2017 Elsevier B.V. All rights reserved.

  4. Variation in GP decisions on antihypertensive treatment in oldest-old and frail individuals across 29 countries.

    PubMed

    Streit, Sven; Verschoor, Marjolein; Rodondi, Nicolas; Bonfim, Daiana; Burman, Robert A; Collins, Claire; Biljana, Gerasimovska Kitanovska; Gintere, Sandra; Gómez Bravo, Raquel; Hoffmann, Kathryn; Iftode, Claudia; Johansen, Kasper L; Kerse, Ngaire; Koskela, Tuomas H; Peštić, Sanda Kreitmayer; Kurpas, Donata; Mallen, Christian D; Maisoneuve, Hubert; Merlo, Christoph; Mueller, Yolanda; Muth, Christiane; Šter, Marija Petek; Petrazzuoli, Ferdinando; Rosemann, Thomas; Sattler, Martin; Švadlenková, Zuzana; Tatsioni, Athina; Thulesius, Hans; Tkachenko, Victoria; Torzsa, Peter; Tsopra, Rosy; Canan, Tuz; Viegas, Rita P A; Vinker, Shlomo; de Waal, Margot W M; Zeller, Andreas; Gussekloo, Jacobijn; Poortvliet, Rosalinde K E

    2017-04-20

    In oldest-old patients (>80), few trials showed efficacy of treating hypertension and they included mostly the healthiest elderly. The resulting lack of knowledge has led to inconsistent guidelines, mainly based on systolic blood pressure (SBP), cardiovascular disease (CVD) but not on frailty despite the high prevalence in oldest-old. This may lead to variation how General Practitioners (GPs) treat hypertension. Our aim was to investigate treatment variation of GPs in oldest-olds across countries and to identify the role of frailty in that decision. Using a survey, we compared treatment decisions in cases of oldest-old varying in SBP, CVD, and frailty. GPs were asked if they would start antihypertensive treatment in each case. In 2016, we invited GPs in Europe, Brazil, Israel, and New Zealand. We compared the percentage of cases that would be treated per countries. A logistic mixed-effects model was used to derive odds ratio (OR) for frailty with 95% confidence intervals (CI), adjusted for SBP, CVD, and GP characteristics (sex, location and prevalence of oldest-old per GP office, and years of experience). The mixed-effects model was used to account for the multiple assessments per GP. The 29 countries yielded 2543 participating GPs: 52% were female, 51% located in a city, 71% reported a high prevalence of oldest-old in their offices, 38% and had >20 years of experience. Across countries, considerable variation was found in the decision to start antihypertensive treatment in the oldest-old ranging from 34 to 88%. In 24/29 (83%) countries, frailty was associated with GPs' decision not to start treatment even after adjustment for SBP, CVD, and GP characteristics (OR 0.53, 95%CI 0.48-0.59; ORs per country 0.11-1.78). Across countries, we found considerable variation in starting antihypertensive medication in oldest-old. The frail oldest-old had an odds ratio of 0.53 of receiving antihypertensive treatment. Future hypertension trials should also include frail patients

  5. A unified framework for addiction: Vulnerabilities in the decision process

    PubMed Central

    Redish, A. David; Jensen, Steve; Johnson, Adam

    2013-01-01

    The understanding of decision-making systems has come together in recent years to form a unified theory of decision-making in the mammalian brain as arising from multiple, interacting systems (a planning system, a habit system, and a situation-recognition system). This unified decision-making system has multiple potential access points through which it can be driven to make maladaptive choices, particularly choices that entail seeking of certain drugs or behaviors. We identify 10 key vulnerabilities in the system: (1) moving away from homeostasis, (2) changing allostatic set points, (3) euphorigenic “reward-like” signals, (4) overvaluation in the planning system, (5) incorrect search of situation-action-outcome relationships, (6) misclassification of situations, (7) overvaluation in the habit system, (8) a mismatch in the balance of the two decision systems, (9) over-fast discounting processes, and (10) changed learning rates. These vulnerabilities provide a taxonomy of potential problems with decision-making systems. Although each vulnerability can drive an agent to return to the addictive choice, each vulnerability also implies a characteristic symptomology. Different drugs, different behaviors, and different individuals are likely to access different vulnerabilities. This has implications for an individual’s susceptibility to addiction and the transition to addiction, for the potential for relapse, and for the potential for treatment. PMID:18662461

  6. Preferences of colorectal cancer patients for treatment and decision-making: a systematic literature review.

    PubMed

    Damm, K; Vogel, A; Prenzler, A

    2014-11-01

    Treatment decisions in life-threatening diseases, like colorectal cancer (CRC), are crucial, since they have a great impact on patient's survival and health-related quality of life. Thereby, the inclusion of patient's preferences becomes more and more important; however, these first need to be identified. Therefore, we conducted a systematic literature review in 12 electronic databases, published between 2000 and 2012, in order to identify patient's preferences concerning treatment preferences and involvement in the decision-making process. Nineteen studies were included and thoroughly analysed. This review shows that CRC patients do have preferences regarding different treatment options and outcomes; however, these preferences are not homogenous and seem to depend on personal factors like age and gender. Despite the existence of these preferences, the majority of patients prefer a passive role in the decision-making process, which in part may be explained by the severity of the disease. Again, subgroup analyses reveal the impact of personal factors like gender and education on the preference. Due to the importance of personal factors in the analysis of patient preferences, we identified an urgent need for larger studies that are suitable for subgroup analyses and incorporate multi-attributive measurement techniques, like discrete choice methods. © 2014 John Wiley & Sons Ltd.

  7. Assessing the acceptability and usability of an interactive serious game in aiding treatment decisions for patients with localized prostate cancer.

    PubMed

    Reichlin, Lindsey; Mani, Nithya; McArthur, Kara; Harris, Amy M; Rajan, Nithin; Dacso, Clifford C

    2011-01-12

    Men diagnosed with localized prostate cancer face a potentially life-altering treatment decision that can be overwhelming. Enhancing patient knowledge through education can significantly reduce feelings of uncertainty while simultaneously increasing confidence in decision making. Serious games have been shown in other populations to increase health knowledge and assist with the health decision-making process. We developed an interactive serious game, Time After Time, which translates evidence-based treatment outcome data into an accessible and understandable format that men can utilize in their prostate cancer treatment decision-making process. The game specifically aims to raise men's awareness and understanding of the impact of health-related quality of life issues associated with the major treatment options and to enrich their conversations with their health care providers. This study determined the acceptability and usability of the alpha version of Time After Time, an interactive decision aid for men diagnosed with localized prostate cancer, in order to inform future iterations of the serious game. The study employed a mixed methods approach to assess the acceptability and usability of the Time After Time serious game using qualitative focus groups and a quantitative Likert scale survey. A total of 13 men who had already completed treatment for localized prostate cancer completed the survey and participated in focus group meetings. The majority of the study participants rated Time After Time as an appropriate decision tool for localized prostate cancer and verified that it meets its goals of increasing focus on side effects and generating questions for the patient's health care team. However, participants also expressed concerns about game usability and the diversity of information covered regarding treatment options and potential treatment outcomes. Serious games are a promising approach to health education and decision support for older men. Participants

  8. Assessing the Acceptability and Usability of an Interactive Serious Game in Aiding Treatment Decisions for Patients with Localized Prostate Cancer

    PubMed Central

    2011-01-01

    Background Men diagnosed with localized prostate cancer face a potentially life-altering treatment decision that can be overwhelming. Enhancing patient knowledge through education can significantly reduce feelings of uncertainty while simultaneously increasing confidence in decision making. Serious games have been shown in other populations to increase health knowledge and assist with the health decision-making process. We developed an interactive serious game, Time After Time, which translates evidence-based treatment outcome data into an accessible and understandable format that men can utilize in their prostate cancer treatment decision-making process. The game specifically aims to raise men’s awareness and understanding of the impact of health-related quality of life issues associated with the major treatment options and to enrich their conversations with their health care providers. Objective This study determined the acceptability and usability of the alpha version of Time After Time, an interactive decision aid for men diagnosed with localized prostate cancer, in order to inform future iterations of the serious game. Methods The study employed a mixed methods approach to assess the acceptability and usability of the Time After Time serious game using qualitative focus groups and a quantitative Likert scale survey. Results A total of 13 men who had already completed treatment for localized prostate cancer completed the survey and participated in focus group meetings. The majority of the study participants rated Time After Time as an appropriate decision tool for localized prostate cancer and verified that it meets its goals of increasing focus on side effects and generating questions for the patient’s health care team. However, participants also expressed concerns about game usability and the diversity of information covered regarding treatment options and potential treatment outcomes. Conclusions Serious games are a promising approach to health education

  9. Decision-making processes for the uptake and implementation of family-based therapy by eating disorder treatment teams: a qualitative study.

    PubMed

    Kimber, Melissa; Couturier, Jennifer; Jack, Susan; Niccols, Alison; Van Blyderveen, Sherry; McVey, Gail

    2014-01-01

    To explore the decision-making processes involved in the uptake and implementation of evidence-based treatments (EBTs), namely, family-based treatment (FBT), among therapists and their administrators within publically funded eating disorder treatment programs in Ontario, Canada. Fundamental qualitative description guided sampling, data collection, and analytic decisions. Forty therapists and 11 administrators belonging to a network of clinicians treating eating disorders completed an in-depth interview regarding the decision-making processes involved in EBT uptake and implementation within their organizations. Content analysis and the constant comparative technique were used to analyze interview transcripts, with 20% of the data independently double-coded by a second coder. Therapists and their administrators identified the importance of an inclusive change culture in evidence-based practice (EBP) decision-making. Each group indicated reluctance to make EBP decisions in isolation from the other. Additionally, participants identified seven stages of decision-making involved in EBT adoption, beginning with exposure to the EBT model and ending with evaluating the impact of the EBT on patient outcomes. Support for a stage-based decision-making process was in participants' indication that the stages were needed to demonstrate that they considered the costs and benefits of making a practice change. Participants indicated that EBTs endorsed by the Provincial Network for Eating Disorders or the Academy for Eating Disorders would more likely be adopted. Future work should focus on integrating the important decision-making processes identified in this study with known implementation models to increase the use of low-cost and effective treatments, such as FBT, within eating disorder treatment programs. Copyright © 2013 Wiley Periodicals, Inc.

  10. Explanations for side effect aversion in preventive medical treatment decisions

    PubMed Central

    Waters, Erika A.; Weinstein, Neil D.; Colditz, Graham A.; Emmons, Karen

    2008-01-01

    Objective Many laypeople demonstrate excessive sensitivity to negative side effects of medical treatments, which may lead them to refuse beneficial therapies. This Internet-based experiment investigated three possible explanations for such “side effect aversion.” One was derived from mental accounting, one examined the mere presence of a side effect, and one focused on computational difficulties. Design Participants (N = 5,379) were presented with a hypothetical cancer preventive treatment situation that was or was not accompanied by one or two small side effects. The side effects were either beneficial or harmful. In all conditions the net absolute risk reduction associated with the treatment was 15%. Main Outcome Measures Participants indicated their willingness to accept treatment and their perceptions of the treatment’s effects on their overall cancer risk. Results Data were consistent only with the “mere presence” explanation of side effect aversion, the idea that side effects act as a strong negative cue that directly affects treatment appraisal. The number of negative side effects did not influence treatment willingness. Conclusion Side effect aversion is a challenge to informed decision making. Specific mechanisms that produce side effect aversion should be identified. PMID:19290712

  11. Patient experiences of acute myeloid leukemia: A qualitative study about diagnosis, illness understanding, and treatment decision-making.

    PubMed

    LeBlanc, Thomas W; Fish, Laura J; Bloom, Catherine T; El-Jawahri, Areej; Davis, Debra M; Locke, Susan C; Steinhauser, Karen E; Pollak, Kathryn I

    2017-12-01

    Patients with acute myeloid leukemia (AML) face a unique, difficult situation characterized by sudden changes in health, complex information, and pressure to make quick treatment decisions amid sizeable tradeoffs. Yet, little is known about patients' experiences with AML. We used qualitative methods to learn about their experiences with diagnosis and treatment decision-making to identify areas for improvement. We recruited hospitalized patients with AML to participate in semi-structured qualitative interviews about their experiences being diagnosed with AML, receiving information, and making a treatment decision. Interviews were conducted during their hospitalization for induction chemotherapy. We analyzed data by using a constant comparison approach. Thirty-two patients completed an interview. Four main themes emerged: (a) shock and suddenness, (b) difficulty processing information, (c) poor communication, and (d) uncertainty. Patients frequently described their diagnosis as shocking. They also felt that the amount of information was too great and too difficult to process, which negatively impacted their understanding. Patients frequently described a lack of emotional support from clinicians and described uncertainty about their prognosis, the number and nature of available treatments, and what to expect from treatment. Acute myeloid leukemia poses a sudden, emotionally challenging, information-laden situation, where little time is available to make important decisions. This results in difficulty processing information and is sometimes complicated by a lack of emotive communication from clinicians. Results indicate a need for targeted interventions to improve AML patients' understanding of illness and treatment options and to address their traumatic experiences around diagnosis. Copyright © 2016 John Wiley & Sons, Ltd.

  12. Decision-making process of patients with gynecological cancer regarding their cancer treatment choices using the analytic hierarchy process.

    PubMed

    Kitamura, Yuko

    2010-12-01

    In order to support patients' decision-making regarding cancer treatments, it is important to clarify which criteria that cancer patients use to set priorities in their treatment choices. Using the analytic hierarchy process (AHP), a mathematical decision-making method, this article investigates the criteria and the priorities of patients with gynecological cancer. In the AHP, multiple and hierarchical criteria in the decision-making process were organized by a repeated pairwise judgment of the participants so as to serialize the alternatives along with the rational order of the priorities. For the alternatives "to receive treatment" and "to not receive treatment," the following five criteria were set: "anxiety about relapse and metastasis", "distress about side-effects", "advice of family", "advice of medical staff", and "economic burden". The participants determined a pairwise priority scale, as well as a priority scale between the alternatives for every criterion. The logical consistency of their answers was checked by a consistency index (CI). The participants were 31 patients with ovarian or endometrial cancer who were being followed up after undergoing surgery and adjuvant chemotherapy. Of the participants who answered the questionnaire, 17 satisfied the logical consistency. Of the five criteria for the treatment choices, "anxiety about relapse and metastasis" and "advice of medical staff" were found to be the important factors for treatment choice; however, the weight attached to the priority criteria differed much among the patients. The AHP made it possible to support patients' decision-making in order to clarify their priority criteria and to quantitatively present their decision-making process. © 2010 The Author. Journal compilation © 2010 Japan Academy of Nursing Science.

  13. Reactivation and reuse of TiO2-SnS2 composite catalyst for solar-driven water treatment.

    PubMed

    Kovacic, Marin; Kopcic, Nina; Kusic, Hrvoje; Stangar, Urska Lavrencic; Dionysiou, Dionysios D; Bozic, Ana Loncaric

    2018-01-01

    One of the most important features of photocatalytic materials intended to be used for water treatment is their long-term stability. The study is focused on the application of thermal and chemical treatments for the reactivation of TiO 2 -SnS 2 composite photocatalyst, prepared by hydrothermal synthesis and immobilized on the glass support using titania/silica binder. Such a catalytic system was applied in solar-driven treatment, solar/TiO 2 -SnS 2 /H 2 O 2 , for the purification of water contaminated with diclofenac (DCF). The effectiveness of studied reactivation methods for retaining TiO 2 -SnS 2 activity in consecutive cycles was evaluated on basis of DCF removal and conversion, and TOC removal and mineralization of organic content. Besides these water quality parameters, biodegradability changes in DCF aqueous solution treated by solar/TiO 2 -SnS 2 /H 2 O 2 process using simply reused (air-dried) and thermally and chemically reactivated composite photocatalyst through six consecutive cycles were monitored. It was established that both thermal and chemical reactivation retain TiO 2 -SnS 2 activity in the second cycle of its reuse. However, both treatments caused the alteration in the TiO 2 -SnS 2 morphology due to the partial transformation of visible-active SnS 2 into non-active SnO 2 . Such alteration, repeated through consecutive reactivation and reuse, was reflected through gradual activity loss of TiO 2 -SnS 2 composite in applied solar-driven water treatment.

  14. The effect of a geriatric evaluation on treatment decisions and outcome for older cancer patients - A systematic review.

    PubMed

    Hamaker, Marije E; Te Molder, Marthe; Thielen, Noortje; van Munster, Barbara C; Schiphorst, Anandi H; van Huis, Lieke H

    2018-04-06

    The aim of this systematic review is to summarise all available data on the effect of a geriatric evaluation on the multidisciplinary treatment of older cancer patients, focussing on oncologic treatment decisions, the implementation of non-oncologic interventions and the impact on treatment outcome. A systematic search in MEDLINE and EMBASE for studies on the effect of a geriatric evaluation on oncologic and non-oncologic treatment decisions and outcome for older cancer patients. 36 publications from 35 studies were included. After a geriatric evaluation, the oncologic treatment plan was altered in a median of 28% of patients (range 8-54%), primarily to a less intensive treatment option. Non-oncologic interventions were recommended in a median of 72% of patients (range 26-100%), most commonly involving social issues (39%), nutritional status (32%) and polypharmacy (31%). Effect on treatment outcome was varying, with a trend towards a positive effect on treatment completion (positive effect in 75% of studies) and treatment-related toxicity/ complications (55% of studies). A geriatric evaluation affects oncologic and non-oncologic treatment and appears to improve treatment tolerance and completion for older cancer patients. Fine-tuning the decision-making process for this growing patient population will require more specific and robust data on the effect of a geriatric evaluation on relevant oncologic and non-oncologic outcomes such as survival and quality of life. Copyright © 2017. Published by Elsevier Ltd.

  15. Interpreting indirect treatment comparisons and network meta-analysis for health-care decision making: report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: part 1.

    PubMed

    Jansen, Jeroen P; Fleurence, Rachael; Devine, Beth; Itzler, Robbin; Barrett, Annabel; Hawkins, Neil; Lee, Karen; Boersma, Cornelis; Annemans, Lieven; Cappelleri, Joseph C

    2011-06-01

    Evidence-based health-care decision making requires comparisons of all relevant competing interventions. In the absence of randomized, controlled trials involving a direct comparison of all treatments of interest, indirect treatment comparisons and network meta-analysis provide useful evidence for judiciously selecting the best choice(s) of treatment. Mixed treatment comparisons, a special case of network meta-analysis, combine direct and indirect evidence for particular pairwise comparisons, thereby synthesizing a greater share of the available evidence than a traditional meta-analysis. This report from the ISPOR Indirect Treatment Comparisons Good Research Practices Task Force provides guidance on the interpretation of indirect treatment comparisons and network meta-analysis to assist policymakers and health-care professionals in using its findings for decision making. We start with an overview of how networks of randomized, controlled trials allow multiple treatment comparisons of competing interventions. Next, an introduction to the synthesis of the available evidence with a focus on terminology, assumptions, validity, and statistical methods is provided, followed by advice on critically reviewing and interpreting an indirect treatment comparison or network meta-analysis to inform decision making. We finish with a discussion of what to do if there are no direct or indirect treatment comparisons of randomized, controlled trials possible and a health-care decision still needs to be made. Copyright © 2011 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

  16. What we talk about when we talk about depression: doctor-patient conversations and treatment decision outcomes

    PubMed Central

    Karasz, Alison; Dowrick, Christopher; Byng, Richard; Buszewicz, Marta; Ferri, Lucia; Hartman, Tim C Olde; van Dulmen, Sandra; van Weel-Baumgarten, Evelyn; Reeve, Joanne

    2011-01-01

    Background Efforts to address depression in primary care settings have focused on the introduction of care guidelines emphasising pharmacological treatment. To date, physician adherence remains low. Little is known of the types of information exchange or other negotiations in doctor-patient consultations about depression that influence physician decision making about treatment. Aim The study sought to understand conversational influences on physician decision making about treatment for depression. Design A secondary analysis of consultation data collected in other studies. Using a maximum variation sampling strategy, 30 transcripts of primary care consultations about distress or depression were selected from datasets collected in three countries. Transcripts were analysed to discover factors associated with prescription of medication. Method The study employed two qualitative analysis strategies: a micro-analysis approach, which examines how conversation partners shape the dialogue towards pragmatic goals; and a narrative analysis approach of the problem presentation. Results Patients communicated their conceptual representations of distress at the outset of each consultation. Concepts of depression were communicated through the narrative form of the problem presentation. Three types of narratives were identified: those emphasising symptoms, those emphasising life situations, and mixed narratives. Physician decision making regarding medication treatment was strongly associated with the form of the patient’s narrative. Physicians made few efforts to persuade patients to accept biomedical attributions or treatments. Conclusion Results of the study provide insight into why adherence to depression guidelines remains low. Data indicate that patient agendas drive the ‘action’ in consultations about depression. Physicians appear to be guided by common-sense decision-making algorithms emphasising patients’ views and preferences. PMID:22520683

  17. Current understanding of decision-making in adolescents with cancer: A narrative systematic review

    PubMed Central

    Day, Emma; Jones, Louise; Langner, Richard; Bluebond-Langner, Myra

    2016-01-01

    Background: Policy guidance and bioethical literature urge the involvement of adolescents in decisions about their healthcare. It is uncertain how roles and expectations of adolescents, parents and healthcare professionals influence decision-making and to what extent this is considered in guidance. Aims: To identify recent empirical research on decision-making regarding care and treatment in adolescent cancer: (1) to synthesise evidence to define the role of adolescents, parents and healthcare professionals in the decision-making process and (2) to identify gaps in research. Design: A narrative systematic review of qualitative, quantitative and mixed-methods research. We adopted a textual approach to synthesis, using a theoretical framework of interactionism to interpret findings. Data Sources: The databases MEDLINE, PsycINFO, SCOPUS, EMBASE and CINHAL were searched from 2001 through May 2015 for publications on decision-making for adolescents (13–19 years) with cancer. Results: Twenty-eight articles were identified. Adolescents and parents initially find it difficult to participate in decision-making due to a lack of options in the face of protocol-driven care. Parent and adolescent preferences for information and response to loss of control vary between individuals and over time. No studies indicate parental or adolescent preference for a high degree of independence in decision-making. Conclusion: Striving to make parents and adolescents fully informed or urge them towards more independence than they prefer may add to distress and confusion. This may interfere with their ability to participate in their preferred way in decisions about care and treatment. Future research should include analysis of on-ground interactions among parents, adolescents and clinicians across the trajectory. PMID:27160700

  18. Cancer treatment decision-making among young adults with lung and colorectal cancer: a comparison with adults in middle age.

    PubMed

    Mack, Jennifer W; Cronin, Angel; Fasciano, Karen; Block, Susan D; Keating, Nancy L

    2016-09-01

    Our aim is to understand experiences with treatment decision-making among young adults with cancer. We studied patients with lung cancer or colorectal cancer in the Cancer Care Outcomes Research and Surveillance Consortium, a prospective cohort study. We identified 148 young adult patients aged 21-40 years who completed baseline interview questions about cancer treatment decision-making; each was propensity score matched to three middle adult patients aged 41-60 years, for a cohort of 592 patients. Patients were asked about decision-making preferences, family involvement in decision-making, and worries about treatment. An ordinal logistic regression model evaluated factors associated with more treatment worries. Young and middle-aged adults reported similar decision-making preferences (p = 0.80) and roles relative to physicians (p = 0.36). Although family involvement was similar in the age groups (p = 0.21), young adults were more likely to have dependent children in the home (60% younger versus 28% middle-aged adults, p < 0.001). Young adults reported more worries about time away from family (p = 0.002), and, in unadjusted analyses, more cancer treatment-related worries (mean number of responses of 'somewhat' or 'very' worried 2.5 for younger versus 2.2 for middle-aged adults, p = 0.02.) However, in adjusted analyses, worries were associated with the presence of dependent children in the home (odds ratio [OR] 1.55, 95% CI = 1.07-2.24, p = 0.02), rather than age. Young adults involve doctors and family members in decisions at rates similar to middle-aged adults but experience more worries about time away from family. Patients with dependent children are especially likely to experience worries. Treatment decision-making strategies should be based on individual preferences and needs rather than age alone. Copyright © 2015 John Wiley & Sons, Ltd. Copyright © 2015 John Wiley & Sons, Ltd.

  19. Advance decision.

    PubMed

    Samuels, Alec; Barrister, J P

    2007-10-01

    In the UK, patients have a statutory right to refuse treatment. Parliament has authorised 'advance decision' whereby a person can specify his or her wishes regarding further medical treatment. Although the advance decision may give a person peace of mind, it could create real problems for doctors and other healthcare professionals. This article will examine the conditions and procedures surrounding the drawing up of an advance decision as well as some of the problems that could arise such as layman's language.

  20. Data-driven modeling of hydroclimatic trends and soil moisture: Multi-scale data integration and decision support

    NASA Astrophysics Data System (ADS)

    Coopersmith, Evan Joseph

    -identical topography. This cross-application of parametric calibrations and LiDAR-driven disaggregation facilitates decision-support at locations without proximally-located soil moisture sensors.

  1. Development of a patient decision aid for choice of surgical treatment for breast cancer

    PubMed Central

    Sawka, Carol A.; Goel, Vivek; Mahut, Catherine A.; Taylor, Glen A.; Thiel, Elaine C.; O'Connor, Annette M.; Ackerman, Ida; Burt, Janet H.; Gort, Elaine H.

    2002-01-01

    Purpose A patient decision aid for the surgical treatment of early stage breast cancer was developed and evaluated. The rationale for its development was the knowledge that breast conserving therapy (lumpectomy followed by breast radiation) and mastectomy produce equivalent outcomes, and the current general agreement that the decision for the type of surgery should rest with the patient. Methods A decision aid was developed and evaluated in sequential pilot studies of 18 and 10 women with newly diagnosed breast cancer who were facing a decision for breast conserving therapy or mastectomy. Both qualitative (general reaction, self‐reported anxiety, clarity, satisfaction) and quantitative (knowledge and decisional conflict) measures were assessed. Results The decision aid consists of an audiotape and workbook and takes 36 min to complete. Based on qualitative comments and satisfaction ratings, 17 of 18 women reported a positive reaction to the decision aid, and all 18 reported that it helped clarify information given by the surgeon. Women did not report an increase in anxiety and 17 of 18 women were either satisfied or very satisfied with the decision aid. Conclusion This pilot study supports the hypothesis that this decision aid may be a helpful adjunct in the decision for surgical management of early stage breast cancer. We are currently conducting a randomized trial of the decision aid versus a simple educational pamphlet to evaluate its efficacy as measured by knowledge, decisional conflict, anxiety and post‐decisional regret. PMID:11281859

  2. The Diagnosis and Treatment of Bipolar Disorder: Decision-Making in Primary Care

    PubMed Central

    2014-01-01

    Bipolar disorder is a chronic episodic illness, characterized by recurrent episodes of manic or depressive symptoms. Patients with bipolar disorder frequently present first to primary care, but the diversity of the potential symptoms and a low index of suspicion among physicians can lead to misdiagnosis in many patients. Frequently, co-occurring psychiatric and medical conditions further complicate the differential diagnosis. A thorough diagnostic evaluation at clinical interview, combined with supportive case-finding tools, is essential to reach an accurate diagnosis. When treating bipolar patients, the primary care physician has an integral role in coordinating the multidisciplinary network. Pharmacologic treatment underpins both short- and long-term management of bipolar disorder. Maintenance treatment to prevent relapse is frequently founded on the same pharmacologic approaches that were effective in treating the acute symptoms. Regardless of the treatment approach that is selected, monitoring over the long term is essential to ensure continued symptom relief, functioning, safety, adherence, and general medical health. This article describes key decision-making steps in the management of bipolar disorder from the primary care perspective: from initial clinical suspicion to confirmation of the diagnosis to decision-making in acute and longer-term management and the importance of patient monitoring. PMID:25317368

  3. The influence of clinician emotion on decisions in child and adolescent eating disorder treatment: a survey of self and others.

    PubMed

    Lafrance Robinson, Adele; Kosmerly, Stacey

    2015-01-01

    Eating disorder clinicians from various disciplines participated in one of two surveys: the "self" group (n = 143) completed a survey assessing the negative influence of emotions on their own clinical decisions, while the "other" group (n = 145) completed a parallel version of the survey that assessed their perceptions of the negative influence of emotion in their colleagues. Both groups endorsed this phenomenon to some degree, although differences in reporting were noted between groups. The perceived negative influence of emotion with regards to specific treatment decisions fell within three categories: decisions regarding food and weight, decisions regarding the involvement of the family in treatment, and decisions related to autonomy and control. Decisions regarding the involvement of the family were perceived to be the most emotionally charged, in particular the involvement of a critical or dismissive parent.

  4. Data Science and its Relationship to Big Data and Data-Driven Decision Making.

    PubMed

    Provost, Foster; Fawcett, Tom

    2013-03-01

    Companies have realized they need to hire data scientists, academic institutions are scrambling to put together data-science programs, and publications are touting data science as a hot-even "sexy"-career choice. However, there is confusion about what exactly data science is, and this confusion could lead to disillusionment as the concept diffuses into meaningless buzz. In this article, we argue that there are good reasons why it has been hard to pin down exactly what is data science. One reason is that data science is intricately intertwined with other important concepts also of growing importance, such as big data and data-driven decision making. Another reason is the natural tendency to associate what a practitioner does with the definition of the practitioner's field; this can result in overlooking the fundamentals of the field. We believe that trying to define the boundaries of data science precisely is not of the utmost importance. We can debate the boundaries of the field in an academic setting, but in order for data science to serve business effectively, it is important (i) to understand its relationships to other important related concepts, and (ii) to begin to identify the fundamental principles underlying data science. Once we embrace (ii), we can much better understand and explain exactly what data science has to offer. Furthermore, only once we embrace (ii) should we be comfortable calling it data science. In this article, we present a perspective that addresses all these concepts. We close by offering, as examples, a partial list of fundamental principles underlying data science.

  5. Technoeconomic Optimization of Waste Heat Driven Forward Osmosis for Flue Gas Desulfurization Wastewater Treatment

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Gingerich, Daniel B; Bartholomew, Timothy V; Mauter, Meagan S

    With the Environmental Protection Agency’s recent Effluent Limitation Guidelines for Steam Electric Generators, power plants are having to install and operate new wastewater technologies. Many plants are evaluating desalination technologies as possible compliance options. However, the desalination technologies under review that can reduce wastewater volume or treat to a zero-liquid discharges standard have a significant energy penalty to the plant. Waste heat, available from the exhaust gas or cooling water from coal-fired power plants, offers an opportunity to drive wastewater treatment using thermal desalination technologies. One such technology is forward osmosis (FO). Forward osmosis utilizes an osmotic pressure gradient tomore » passively pull water from a saline or wastewater stream across a semi-permeable membrane and into a more concentrated draw solution. This diluted draw solution is then fed into a distillation column, where the addition of low temperature waste heat can drive the separation to produce a reconcentrated draw solution and treated water for internal plant reuse. The use of low-temperature waste heat decouples water treatment from electricity production and eliminates the link between reducing water pollution and increasing air emissions from auxiliary electricity generation. In order to evaluate the feasibility of waste heat driven FO, we first build a model of an FO system for flue gas desulfurization (FGD) wastewater treatment at coal-fired power plants. This model includes the FO membrane module, the distillation column for draw solution recovery, and waste heat recovery from the exhaust gas. We then add a costing model to account for capital and operating costs of the forward osmosis system. We use this techno-economic model to optimize waste heat driven FO for the treatment of FGD wastewater. We apply this model to three case studies: the National Energy Technology Laboratory (NETL) 550 MW model coal fired power plant without

  6. Neural basis of quasi-rational decision making.

    PubMed

    Lee, Daeyeol

    2006-04-01

    Standard economic theories conceive homo economicus as a rational decision maker capable of maximizing utility. In reality, however, people tend to approximate optimal decision-making strategies through a collection of heuristic routines. Some of these routines are driven by emotional processes, and others are adjusted iteratively through experience. In addition, routines specialized for social decision making, such as inference about the mental states of other decision makers, might share their origins and neural mechanisms with the ability to simulate or imagine outcomes expected from alternative actions that an individual can take. A recent surge of collaborations across economics, psychology and neuroscience has provided new insights into how such multiple elements of decision making interact in the brain.

  7. A Novel Treatment Decision Tree and Literature Review of Retrograde Peri-Implantitis.

    PubMed

    Sarmast, Nima D; Wang, Howard H; Soldatos, Nikolaos K; Angelov, Nikola; Dorn, Samuel; Yukna, Raymond; Iacono, Vincent J

    2016-12-01

    Although retrograde peri-implantitis (RPI) is not a common sequela of dental implant surgery, its prevalence has been reported in the literature to be 0.26%. Incidence of RPI is reported to increase to 7.8% when teeth adjacent to the implant site have a previous history of root canal therapy, and it is correlated with distance between implant and adjacent tooth and/or with time from endodontic treatment of adjacent tooth to implant placement. Minimum 2 mm space between implant and adjacent tooth is needed to decrease incidence of apical RPI, with minimum 4 weeks between completion of endodontic treatment and actual implant placement. The purpose of this study is to compile all available treatment modalities and to provide a decision tree as a general guide for clinicians to aid in diagnosis and treatment of RPI. Literature search was performed for articles published in English on the topic of RPI. Articles selected were case reports with study populations ranging from 1 to 32 patients. Any case report or clinical trial that attempted to treat or rescue an implant diagnosed with RPI was included. Predominant diagnostic presentation of a lesion was presence of sinus tract at buccal or facial abscess of apical portion of implant, and subsequent periapical radiographs taken demonstrated a radiolucent lesion. On the basis of case reports analyzed, RPI was diagnosed between 1 week and 4 years after implant placement. Twelve of 20 studies reported that RPI lesions were diagnosed within 6 months after implant placement. A step-by-step decision tree is provided to allow clinicians to triage and properly manage cases of RPI on the basis of recommendations and successful treatments provided in analyzed case reports. It is divided between symptomatic and asymptomatic implants and adjacent teeth with vital and necrotic pulps. Most common etiology of apical RPI is endodontic infection from neighboring teeth, which was diagnosed within 6 months after implant placement. Most

  8. Data-Driven Decision-Making: It's a Catch-Up Game

    ERIC Educational Resources Information Center

    Briggs, Linda L.

    2006-01-01

    Having an abundance of data residing in individual silos across campus, but little decision-ready information, is a typical scenario at many institutions. One problem is that the terms "data warehousing" and "business intelligence" refer to very different things, although the two often go hand-in-hand. "Data…

  9. Mobile Clinical Decision Support System for Acid-base Balance Diagnosis and Treatment Recommendation.

    PubMed

    Mandzuka, Mensur; Begic, Edin; Boskovic, Dusanka; Begic, Zijo; Masic, Izet

    2017-06-01

    This paper presents mobile application implementing a decision support system for acid-base disorder diagnosis and treatment recommendation. The application was developed using the official integrated development environment for the Android platform (to maximize availability and minimize investments in specialized hardware) called Android Studio. The application identifies disorder, based on the blood gas analysis, evaluates whether the disorder has been compensated, and based on additional input related to electrolyte imbalance, provides recommendations for treatment. The application is a tool in the hands of the user, which provides assistance during acid-base disorders treatment. The application will assist the physician in clinical practice and is focused on the treatment in intensive care.

  10. Supporting Informed Decision Making - Center for Research Strategy

    Cancer.gov

    CRS conducts portfolio analyses and collects data on scientific topics, funding mechanisms, and investigator characteristics to help NCI leadership make data-driven decisions about the scientific research enterprise.

  11. Data-Driven Planning: Using Assessment in Strategic Planning

    ERIC Educational Resources Information Center

    Bresciani, Marilee J.

    2010-01-01

    Data-driven planning or evidence-based decision making represents nothing new in its concept. For years, business leaders have claimed they have implemented planning informed by data that have been strategically and systematically gathered. Within higher education and student affairs, there may be less evidence of the actual practice of…

  12. Key elements of optimal treatment decision-making for surgeons and older patients with colorectal or pancreatic cancer: A qualitative study.

    PubMed

    Geessink, Noralie H; Schoon, Yvonne; van Herk, Hanneke C P; van Goor, Harry; Olde Rikkert, Marcel G M

    2017-03-01

    To identify key elements of optimal treatment decision-making for surgeons and older patients with colorectal (CRC) or pancreatic cancer (PC). Six focus groups with different participants were performed: three with older CRC/PC patients and relatives, and three with physicians. Supplementary in-depth interviews were conducted in another seven patients. Framework analysis was used to identify key elements in decision-making. 23 physicians, 22 patients and 14 relatives participated. Three interacting components were revealed: preconditions, content and facilitators of decision-making. To provide optimal information about treatments' impact on an older patient's daily life, physicians should obtain an overall picture and take into account patients' frailty. Depending on patients' preferences and capacities, dividing decision-making into more sessions will be helpful and simultaneously emphasize patients' own responsibility. GPs may have a valuable contribution because of their background knowledge and supportive role. Stakeholders identified several crucial elements in the complex surgical decision-making of older CRC/PC patients. Structured qualitative research may also be of great help in optimizing other treatment directed decision-making processes. Surgeons should be trained in examining preconditions and useful facilitators in decision-making in older CRC/PC patients to optimize its content and to improve the quality of shared care. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  13. Pupil-linked arousal is driven by decision uncertainty and alters serial choice bias

    NASA Astrophysics Data System (ADS)

    Urai, Anne E.; Braun, Anke; Donner, Tobias H.

    2017-03-01

    While judging their sensory environments, decision-makers seem to use the uncertainty about their choices to guide adjustments of their subsequent behaviour. One possible source of these behavioural adjustments is arousal: decision uncertainty might drive the brain's arousal systems, which control global brain state and might thereby shape subsequent decision-making. Here, we measure pupil diameter, a proxy for central arousal state, in human observers performing a perceptual choice task of varying difficulty. Pupil dilation, after choice but before external feedback, reflects three hallmark signatures of decision uncertainty derived from a computational model. This increase in pupil-linked arousal boosts observers' tendency to alternate their choice on the subsequent trial. We conclude that decision uncertainty drives rapid changes in pupil-linked arousal state, which shape the serial correlation structure of ongoing choice behaviour.

  14. Patient Preferences and Shared Decision Making in the Treatment of Substance Use Disorders: A Systematic Review of the Literature

    PubMed Central

    Friedrichs, Anke; Spies, Maren; Härter, Martin; Buchholz, Angela

    2016-01-01

    Background Shared Decision Making (SDM) as means to the involvement of patients in medical decision making is increasingly demanded by treatment guidelines and legislation. Also, matching of patients’ preferences to treatments has been shown to be effective regarding symptom reduction. Despite promising results for patients with substance use disorders (SUD) no systematic evaluation of the literature has been provided. The aim is therefore to give a systematic overview of the literature of patient preferences and SDM in the treatment of patients with SUD. Methods An electronic literature search of the databases Medline, Embase, Psyndex and Clinical Trials Register was performed. Variations of the search terms substance use disorders, patient preferences and SDM were used. For data synthesis the populations, interventions and outcomes were summarized and described according to the PRISMA statement. Methodological quality of the included articles was assessed with the Mixed Methods Appraisal Tool. Results N = 25 trials were included in this review. These were conducted between 1986 and 2014 with altogether n = 8.729 patients. Two studies found that patients with SUD preferred to be actively involved in treatment decisions. Treatment preferences were assessed in n = 18 studies, where the majority of patients preferred outpatient compared with inpatient treatment. Matching patients to preferences resulted in a reduction on substance use (n = 3 studies), but the majority of studies found no significant effect. Interventions for SDM differed across patient populations and optional therapeutic techniques. Discussion Patients with substance use disorders should be involved in medical treatment decisions, as patients with other health conditions. A suitable approach is Shared Decision Making, emphasizing the patients’ preferences. However, due to the heterogeneity of the included studies, results should be interpreted with caution. Further research is needed regarding

  15. Impact of medical and nonmedical factors on physician decision making for HIV/AIDS antiretroviral treatment.

    PubMed

    Bogart, L M; Kelly, J A; Catz, S L; Sosman, J M

    2000-04-15

    To examine influences of medical factors (e.g., viral load) and nonmedical factors (e.g., patient characteristics) on treatment decisions for highly active antiretroviral therapy (HAART), we sent a survey to a random sample of 995 infectious disease physicians who treat patients with HIV/AIDS in the United States in August, 1998. The response rate was 53%. Respondents were asked to report their current practices with respect to antiretroviral treatment and the extent to which each of three medical and 17 nonmedical factors would influence them for or against prescribing HAART to a hypothetical HIV-positive patient. Most reported initiating HAART with findings of low CD4+ cell counts and high viral loads, and weighing CD4+ cell counts, viral load, and opportunistic infection heavily in their decisions to prescribe HAART. Patients' prior history of poor adherence was weighed very much against initiating HAART. Patient homelessness, heavy alcohol use, injection drug use, and prior psychiatric hospitalization were cited by most physicians as weighing against HAART initiation. Thus, most physicians in this sample follow guidelines for the use of HAART, and nonmedical factors related to patients' life situations are weighed as heavily as disease severity in treatment decisions. As HIV increasingly becomes a disease associated with economic disadvantage and other social health problems, it will be essential to develop interventions and care support systems to enable patients experiencing these problems to benefit from HIV treatment advances.

  16. A Social Approach to Decision-Making Capacity: Exploratory Research with People with Experience of Mental Health Treatment

    ERIC Educational Resources Information Center

    McDaid, Shari; Delaney, Sarah

    2011-01-01

    This paper reports on exploratory, qualitative research conducted with eight people with experience of mental health treatment about their understanding of decision-making capacity. While acknowledging that there are times when mental or emotional distress can interfere with the capacity to make decisions, participants described how their capacity…

  17. An architecture for a continuous, user-driven, and data-driven application of clinical guidelines and its evaluation.

    PubMed

    Shalom, Erez; Shahar, Yuval; Lunenfeld, Eitan

    2016-02-01

    Design, implement, and evaluate a new architecture for realistic continuous guideline (GL)-based decision support, based on a series of requirements that we have identified, such as support for continuous care, for multiple task types, and for data-driven and user-driven modes. We designed and implemented a new continuous GL-based support architecture, PICARD, which accesses a temporal reasoning engine, and provides several different types of application interfaces. We present the new architecture in detail in the current paper. To evaluate the architecture, we first performed a technical evaluation of the PICARD architecture, using 19 simulated scenarios in the preeclampsia/toxemia domain. We then performed a functional evaluation with the help of two domain experts, by generating patient records that simulate 60 decision points from six clinical guideline-based scenarios, lasting from two days to four weeks. Finally, 36 clinicians made manual decisions in half of the scenarios, and had access to the automated GL-based support in the other half. The measures used in all three experiments were correctness and completeness of the decisions relative to the GL. Mean correctness and completeness in the technical evaluation were 1±0.0 and 0.96±0.03 respectively. The functional evaluation produced only several minor comments from the two experts, mostly regarding the output's style; otherwise the system's recommendations were validated. In the clinically oriented evaluation, the 36 clinicians applied manually approximately 41% of the GL's recommended actions. Completeness increased to approximately 93% when using PICARD. Manual correctness was approximately 94.5%, and remained similar when using PICARD; but while 68% of the manual decisions included correct but redundant actions, only 3% of the actions included in decisions made when using PICARD were redundant. The PICARD architecture is technically feasible and is functionally valid, and addresses the realistic

  18. Decision aid on radioactive iodine treatment for early stage papillary thyroid cancer: update to study protocol with follow-up extension.

    PubMed

    Sawka, Anna M; Straus, Sharon; Rodin, Gary; Thorpe, Kevin E; Ezzat, Shereen; Gafni, Amiram; Goldstein, David P

    2015-07-14

    Patient decision aids (P-DAs) are used to inform patients about healthcare choices, but there is limited knowledge about their longer term effects, beyond the time period of decision-making. We developed a computerized P-DA that explains the choice of radioactive iodine (RAI) adjuvant treatment or no RAI, for patients with low risk papillary thyroid cancer after total thyroidectomy. The original protocol for a randomized controlled trial, comparing the use of the P-DA (with usual care) to usual care alone, has been published in Trials http://www.trialsjournal.com/content/11/1/81. We found that P-DA (with usual care) significantly improved patients' medical knowledge at the time of decision-making (primary outcome) compared to usual care alone (control). In this update, we present the protocol for an extended follow-up study (15 to 23 months post-randomization), including qualitative and quantitative methods. The patient outcomes evaluated using quantitative questionnaires include: the degree to which patients feel well-informed about their RAI treatment choice, decision satisfaction, decision regret, cancer-related worry, mood, and trust in the treating physician. The qualitative component explores the experiences of RAI treatment decision-making, treatment satisfaction, and trial participation in a representative subgroup of patients. Extended follow-up study results will be described for the entire study population, and data will be compared between the P-DA and control groups. This mixed methods extended follow-up study will provide data on long term outcomes, relating to the use of a computerized P-DA in decision-making about adjuvant RAI treatment in early stage papillary thyroid cancer. Our results are intended to inform future research in this area, particularly relating to long term effects of the use of P-DAs in making healthcare choices. Clinicaltrials.gov identifier NCT01083550, registered 24 February 2010 and last updated 5 January 2015.

  19. Shared decision-making and patient autonomy.

    PubMed

    Sandman, Lars; Munthe, Christian

    2009-01-01

    In patient-centred care, shared decision-making is advocated as the preferred form of medical decision-making. Shared decision-making is supported with reference to patient autonomy without abandoning the patient or giving up the possibility of influencing how the patient is benefited. It is, however, not transparent how shared decision-making is related to autonomy and, in effect, what support autonomy can give shared decision-making. In the article, different forms of shared decision-making are analysed in relation to five different aspects of autonomy: (1) self-realisation; (2) preference satisfaction; (3) self-direction; (4) binary autonomy of the person; (5) gradual autonomy of the person. It is argued that both individually and jointly these aspects will support the models called shared rational deliberative patient choice and joint decision as the preferred versions from an autonomy perspective. Acknowledging that both of these models may fail, the professionally driven best interest compromise model is held out as a satisfactory second-best choice.

  20. Shared decision-making for prostate cancer screening and treatment: a systematic review of randomised controlled trials.

    PubMed

    Martínez-González, Nahara Anani; Plate, Andreas; Senn, Oliver; Markun, Stefan; Rosemann, Thomas; Neuner-Jehle, Stefan

    2018-02-23

    Men facing prostate cancer screening and treatment need to make critical and highly preference-sensitive decisions that involve a variety of potential benefits and risks. Shared decision-making (SDM) is considered fundamental for "preference-sensitive" medical decisions and it is guideline-recommended. There is no single definition of SDM however. We systematically reviewed the extent of SDM implementation in interventions to facilitate SDM for prostate cancer screening and treatment. We searched Medline Ovid, Embase (Elsevier), CINHAL (EBSCOHost), The Cochrane Library (Wiley), PsychINFO (EBSCOHost), Scopus, clinicaltrials.gov, ISRCTN registry, the WHO search portal, ohri.ca, opengrey.eu, Google Scholar, and the reference lists of included studies, clinical guidelines and relevant reviews. We also contacted the authors of relevant abstracts without available full text. We included primary peer-reviewed and grey literature of randomised controlled trials (RCTs) reported in English, conducted in primary and specialised care, addressing interventions aiming to facilitate SDM for prostate cancer screening and treatment. Two reviewers independently selected studies, appraised interventions and assessed the extent of SDM implementation based on the key features of SDM, namely information exchange, deliberation and implementation. We considered bi-directional deliberation as a central and mandatory component of SDM. We performed a narrative synthesis. Thirty-six RCTs including 19 196 randomised patients met the eligibility criteria; they were mainly conducted in North America (n = 28). The median year of publication was 2008 (1997-2015). Twenty-three RCTs addressed decision-making for screening, twelve for treatment and one for both screening and treatment for prostate cancer. Bi-directional interactions between healthcare providers and patients were verified in 31 RCTs, but only 14 fulfilled the three key SDM features, 14 had at least "deliberation", one had "unclear

  1. Clinical Decision-Making in Community Children's Mental Health: Using Innovative Methods to Compare Clinicians With and Without Training in Evidence-Based Treatment.

    PubMed

    Baker-Ericzén, Mary J; Jenkins, Melissa M; Park, Soojin; Garland, Ann F

    2015-02-01

    Mental health professionals' decision-making practice is an area of increasing interest and importance, especially in the pediatric research and clinical communities. The present study explored the role of prior training in evidence-based treatments on clinicians' assessment and treatment formulations using case vignettes. Specifically, study aims included using the Naturalistic Decision Making (NDM) cognitive theory to 1) examine potential associations between EBT training and decision-making processes (novice versus expert type), and 2) explore how client and family contextual information affects clinical decision-making. Forty-eight clinicians across two groups (EBT trained=14, Not EBT trained=34) participated. Clinicians were comparable on professional experience, demographics, and discipline. The quasi-experimental design used an analog "think aloud" method where clinicians read case vignettes about a child with disruptive behavior problems and verbalized case conceptualization and treatment planning out-loud. Responses were coded according to NDM theory. MANOVA results were significant for EBT training status such that EBT trained clinicians' displayed cognitive processes more closely aligned with "expert" decision-makers and non-EBT trained clinicians' decision processes were more similar to "novice" decision-makers, following NDM theory. Non-EBT trained clinicians assigned significantly more diagnoses, provided less detailed treatment plans and discussed fewer EBTs. Parent/family contextual information also appeared to influence decision-making. This study offers a preliminary investigation of the possible broader impacts of EBT training and potential associations with development of expert decision-making skills. Targeting clinicians' decision-making may be an important avenue to pursue within dissemination-implementation efforts in mental health practice.

  2. Structured decision making as a framework for large-scale wildlife harvest management decisions

    USGS Publications Warehouse

    Robinson, Kelly F.; Fuller, Angela K.; Hurst, Jeremy E.; Swift, Bryan L.; Kirsch, Arthur; Farquhar, James F.; Decker, Daniel J.; Siemer, William F.

    2016-01-01

    Fish and wildlife harvest management at large spatial scales often involves making complex decisions with multiple objectives and difficult tradeoffs, population demographics that vary spatially, competing stakeholder values, and uncertainties that might affect management decisions. Structured decision making (SDM) provides a formal decision analytic framework for evaluating difficult decisions by breaking decisions into component parts and separating the values of stakeholders from the scientific evaluation of management actions and uncertainty. The result is a rigorous, transparent, and values-driven process. This decision-aiding process provides the decision maker with a more complete understanding of the problem and the effects of potential management actions on stakeholder values, as well as how key uncertainties can affect the decision. We use a case study to illustrate how SDM can be used as a decision-aiding tool for management decision making at large scales. We evaluated alternative white-tailed deer (Odocoileus virginianus) buck-harvest regulations in New York designed to reduce harvest of yearling bucks, taking into consideration the values of the state wildlife agency responsible for managing deer, as well as deer hunters. We incorporated tradeoffs about social, ecological, and economic management concerns throughout the state. Based on the outcomes of predictive models, expert elicitation, and hunter surveys, the SDM process identified management alternatives that optimized competing objectives. The SDM process provided biologists and managers insight about aspects of the buck-harvest decision that helped them adopt a management strategy most compatible with diverse hunter values and management concerns.

  3. Prostate Cancer Patient Perspectives on the Use of Information in Treatment Decision-Making: A Systematic Review and Qualitative Meta-synthesis

    PubMed Central

    Kandasamy, Sujane; Khalid, Ahmad Firas; Majid, Umair; Vanstone, Meredith

    2017-01-01

    Background Men with low- to intermediate-risk prostate cancer are typically asked to choose from a variety of treatment options, including active surveillance, radical prostatectomy, or brachytherapy. The Prolaris cell cycle progression test is intended to provide additional information on personal risk status to assist men with prostate cancer in their choice of treatment. To assist with assessing that new technology, this report synthesizes qualitative research on how men with prostate cancer use information to make decisions about treatment options. Methods We performed a systematic review and qualitative meta-synthesis to retrieve and synthesize findings across primary qualitative studies that report on patient perspectives during prostate cancer treatment decision-making. Results Of 8,610 titles and abstracts reviewed, 29 studies are included in this report. Most men diagnosed with prostate cancer express that their information-seeking pathway extends beyond the medical information received from their health care provider. They access other social resources to attain additional medical information, lived-experience information, and medical administrative information to help support their final treatment decision. Men value privacy, trust, honesty, control, power, organization, and open communication during interactions with their health care providers. They also emphasize the importance of gaining comfort with their treatment choice, having a chance to confirm their health care provider's recommendations (validation of treatment plan), and exercising their preferred level of independence in the treatment decision-making process. Conclusions Although each prostate cancer patient is unique, studies suggest that most patients seek extensive information to help inform their treatment decisions. This may happen before, during, and after the treatment choice is made. Given the amount of information patients may access, it is important that they also establish the

  4. Decision-making process related to treatment and management in Korean women with breast cancer: Finding the right individualized healthcare trajectory.

    PubMed

    Kim, Kkotbong; Yang, Jinhyang

    2017-06-01

    After being diagnosed with breast cancer, women must make a number of decisions about their treatment and management. When the decision-making process among breast cancer patients is ineffective, it results in harm to their health. Little is known about the decision-making process of breast cancer patients during the entire course of treatment and management. We investigated women with breast cancer to explore the decision-making processes related to treatment and management. Eleven women participated, all of whom were receiving treatment or management in Korea. The average participant age was 43.5years. For data collection and analysis, a grounded theory methodology was used. Through constant comparative analyses, a core category emerged that we referred to as "finding the right individualized healthcare trajectory." The decision-making process occurred in four phases: turmoil, exploration, balance, and control. The turmoil phase included weighing the credibility of information and lowering the anxiety level. The exploration phase included assessing the expertise/promptness of medical treatment and evaluating the effectiveness of follow-up management. The balance phase included performing analyses from multiple angles and rediscovering value as a human being. The control phase included constructing an individualized management system and following prescribed and other management options. It is important to provide patients with accurate information related to the treatment and management of breast cancer so that they can make effective decisions. Healthcare providers should engage with patients on issues related to their disease, understand the burden placed on patients because of issues related to their sex, and ensure that the patient has a sufficient support system. The results of this study can be used to develop phase-specific, patient-centered, and tailored interventions for breast cancer patients. Copyright © 2017 Elsevier Inc. All rights reserved.

  5. Understanding surgeon decision making in the use of radiotherapy as neoadjuvant treatment in rectal cancer.

    PubMed

    Ansari, Nabila; Young, Christopher J; Schlub, Timothy E; Dhillon, Haryana M; Solomon, Michael J

    2015-12-01

    Strong evidence supports the use of neoadjuvant radiotherapy in rectal cancer to improve local control. This randomised controlled trial aimed to determine the effect of clinical and non-clinical factors on decision making by colorectal surgeons in patients with rectal cancer. Two surveys comprising vignettes of alternating short (4) and long (12) cues identified previously as important in rectal cancer, were randomly assigned to all members of the CSSANZ. Respondents chose from three possible treatments: long course chemoradiotherapy (LC), short course radiotherapy (SC) or surgery alone to investigate the effects on surgeon decision and confidence in decisions. Choice data were analysed using multinomial logistic regression models. 106 of 165 (64%) surgeons responded. LC was the preferred treatment choice in 73% of vignettes. Surgeons were more likely to recommend LC over SC (OR 1.79) or surgery alone (OR 1.99) when presented with the shorter, four-cue scenarios. There was no significant difference in confidence in decisions made when surgeons were presented with long cue vignettes (P = 0.57). Significant effects on the choice between LC, SC and surgery alone were tumour stage (P < 0.001), nodal status (P < 0.001), tumour position in the rectum (P < 0.001) and the circumferential location of the tumour (P < 0.001). A T4 tumour was the factor most likely associated with a recommendation against surgery alone (OR 335.96) or SC (OR 61.73). This study shows that clinical factors exert the greatest influence on surgeon decision making, which follows a "fast and frugal" heuristic decision making model. Copyright © 2015 IJS Publishing Group Limited. Published by Elsevier Ltd. All rights reserved.

  6. Mobile Clinical Decision Support System for Acid-base Balance Diagnosis and Treatment Recommendation

    PubMed Central

    Mandzuka, Mensur; Begic, Edin; Boskovic, Dusanka; Begic, Zijo; Masic, Izet

    2017-01-01

    Introduction: This paper presents mobile application implementing a decision support system for acid-base disorder diagnosis and treatment recommendation. Material and methods: The application was developed using the official integrated development environment for the Android platform (to maximize availability and minimize investments in specialized hardware) called Android Studio. Results: The application identifies disorder, based on the blood gas analysis, evaluates whether the disorder has been compensated, and based on additional input related to electrolyte imbalance, provides recommendations for treatment. Conclusion: The application is a tool in the hands of the user, which provides assistance during acid-base disorders treatment. The application will assist the physician in clinical practice and is focused on the treatment in intensive care. PMID:28883678

  7. Developing a habitat-driven approach to CWWT design

    USGS Publications Warehouse

    Sartoris, James J.; Thullen, Joan S.

    1998-01-01

    A habitat-driven approach to CWWT design is defined as designing the constructed wetland to maximize habitat values for a given site within the constraints of meeting specified treatment criteria. This is in contrast to the more typical approach of designing the CWWT to maximize treatment efficiency, and then, perhaps, adding wildlife habitat features. The habitat-driven approach is advocated for two reasons: (1) because good wetland habitat is critically lacking, and (2) because it is hypothesized that well-designed habitat will result in good, sustainable wastewater treatment.

  8. Understanding Academic Clinicians' Decision Making for the Treatment of Childhood Obesity.

    PubMed

    Bailey, Karen; Cunningham, Charles; Pemberton, Julia; Rimas, Heather; Morrison, Katherine M

    2015-12-01

    Although most clinicians agree that obesity is a major problem, treatment rates remain low. We conducted this discrete choice experiment (DCE) to understand academic clinicians' decisions in treating childhood obesity. A total of 198 academic pediatric surgeons, pediatricians, family physicians, and allied health professionals were recruited from 15 teaching hospitals across Canada to participate in this DCE. Participants completed 15 tasks choosing between three obesity treatment scenarios to identify the scenario in which they would most likely treat pediatric obesity. Latent class analysis revealed two classes with early intervention and late intervention preferences. Participants in the early intervention group (30%) were sensitive to variations in patient and family support. They would likely intervene if patients were obese, with normal lipid levels, were prediabetic, had high blood pressure, and when obesity was lifestyle associated. Late intervention clinicians (70%) were more likely to intervene if patients were morbidly obese, had abnormal lipid levels, required insulin for diabetes, had very high blood pressure, or when obesity impacted the patient's mental health. Simulations predicted that increasing colleague support for intervention, providing expert consultation, and mobilizing multidisciplinary support would increase the likelihood of treating pediatric obesity earlier from 16.1% to 81.5%. This DCE was implemented to understand the factors clinicians use in making decisions. Most academic clinicians choose to intervene late in the clinical course when more-severe obesity-related morbidities are present. Increased support from colleagues, expert consultation, and multidisciplinary support are likely to lead to earlier treatment of obesity among academic clinicians caring for children.

  9. Evaluation with Decision Trees of Efficacy and Safety of Semirigid Ureteroscopy in the Treatment of Proximal Ureteral Calculi.

    PubMed

    Sancak, Eyup Burak; Kılınç, Muhammet Fatih; Yücebaş, Sait Can

    2017-01-01

    The decision on the choice of proximal ureteral stone therapy depends on many factors, and sometimes urologists have difficulty in choosing the treatment option. This study is aimed at evaluating the factors affecting the success of semirigid ureterorenoscopy (URS) using the "decision tree" method. From January 2005 to November 2015, the data of consecutive patients treated for proximal ureteral stone were retrospectively analyzed. A total of 920 patients with proximal ureteral stone treated with semirigid URS were included in the study. All statistically significant attributes were tested using the decision tree method. The model created using decision tree had a sensitivity of 0.993 and an accuracy of 0.857. While URS treatment was successful in 752 patients (81.7%), it was unsuccessful in 168 patients (18.3%). According to the decision tree method, the most important factor affecting the success of URS is whether the stone is impacted to the ureteral wall. The second most important factor affecting treatment was intramural stricture requiring dilatation if the stone is impacted, and the size of the stone if not impacted. Our study suggests that the impacted stone, intramural stricture requiring dilatation and stone size may have a significant effect on the success rate of semirigid URS for proximal ureteral stone. Further studies with population-based and longitudinal design should be conducted to confirm this finding. © 2017 S. Karger AG, Basel.

  10. Navigating high-risk surgery: protocol for a multisite, stepped wedge, cluster-randomised trial of a question prompt list intervention to empower older adults to ask questions that inform treatment decisions.

    PubMed

    Taylor, Lauren J; Rathouz, Paul J; Berlin, Ana; Brasel, Karen J; Mosenthal, Anne C; Finlayson, Emily; Cooper, Zara; Steffens, Nicole M; Jacobson, Nora; Buffington, Anne; Tucholka, Jennifer L; Zhao, Qianqian; Schwarze, Margaret L

    2017-05-29

    Older patients frequently undergo operations that carry high risk for postoperative complications and death. Poor preoperative communication between patients and surgeons can lead to uninformed decisions and result in unexpected outcomes, conflict between surgeons and patients, and treatment inconsistent with patient preferences. This article describes the protocol for a multisite, cluster-randomised trial that uses a stepped wedge design to test a patient-driven question prompt list (QPL) intervention aimed to improve preoperative decision making and inform postoperative expectations. This Patient-Centered Outcomes Research Institute-funded trial will be conducted at five academic medical centres in the USA. Study participants include surgeons who routinely perform vascular or oncological surgery, their patients and families. We aim to enrol 40 surgeons and 480 patients over 24 months. Patients age 65 or older who see a study-enrolled surgeon to discuss a vascular or oncological problem that could be treated with high-risk surgery will be enrolled at their clinic visit. Together with stakeholders, we developed a QPL intervention addressing preoperative communication needs of patients considering major surgery. Guided by the theories of self-determination and relational autonomy, this intervention is designed to increase patient activation. Patients will receive the QPL brochure and a letter from their surgeon encouraging its use. Using audio recordings of the outpatient surgical consultation, patient and family member questionnaires administered at three time points and retrospective chart review, we will compare the effectiveness of the QPL intervention to usual care with respect to the following primary outcomes: patient engagement in decision making, psychological well-being and post-treatment regret for patients and families, and interpersonal and intrapersonal conflict relating to treatment decisions and treatments received. Approvals have been granted by the

  11. Decision-making in the treatment of elderly people: a cross-cultural comparison between Swedish and German physicians and nurses.

    PubMed

    Richter, Jörg; Eisemann, Martin R; Bauer, Barbara; Kreibeck, Hannelore; Aström, Sture

    2002-06-01

    Decision-making in the treatment of elderly people: a cross-cultural comparison between Swedish and German physicians and nurses The aim of the study was to evaluate the comparability of decisions in the treatment of severely ill incompetent elderly patients among physicians and nurses from a cross-cultural perspective. Convenience samples of 192 doctors and 182 nurses from Germany and 104 doctors and 122 nurses from Sweden have been investigated by a questionnaire in a cross-sectional study. Between 39 and 58% of the subjects in the various groups have chosen treatment options, which are not consistent with the patient's will. However, nurses showed a significantly higher compliance than doctors. The probability of choosing cardio-pulmonary resuscitation decreased with increasing information about the patient's wish. Ethical concerns and the patient's wishes appeared as the most important determinants of treatment decisions, whereas the hospital costs as well as the physicians' religion were of minor importance. The inconsistencies concerning decision- making within and between the groups reflect differences in underlying values and lack of societal consensus, which represent a prerequisite for the improvement of patient autonomy. To focus more frequently and to a larger extent onto the problems related to the treatment of severely ill elderly patients as well as onto the training of communication skills with an orientation towards informed consent in the medical training seems to be warranted.

  12. [Improving shared decision-making for hospital patients: Description and evaluation of a treatment intensity assessment tool].

    PubMed

    Amblàs-Novellas, Jordi; Casas, Sílvia; Catalán, Rosa María; Oriol-Ruscalleda, Margarita; Lucchetti, Gianni Enrico; Quer-Vall, Francesc Xavier

    2016-01-01

    Shared decision-making between patients and healthcare professionals is crucial to guarantee adequate coherence between patient values and preferences, caring aims and treatment intensity, which is key for the provision of patient-centred healthcare. The assessment of such interventions are essential for caring continuity purposes. To do this, reliable and easy-to-use assessment systems are required. This study describes the results of the implementation of a hospital treatment intensity assessment tool. The pre-implementation and post-implementation results were compared between two cohorts of patients assessed for one month. Some record of care was registered in 6.1% of patients in the pre-implementation group (n=673) compared to 31.6% of patients in the post-implementation group (n=832) (P<.01), with differences between services. Hospital mortality in both cohorts is 1.9%; in the pre-implementation group, 93.75% of deceased patients had treatment intensity assessment. In hospital settings, the availability of a specific tool seems to encourage very significantly shared decision-making processes between patients and healthcare professionals -multiplying by more than 5 times the treatment intensity assessment. Moreover, such tools help in the caring continuity processes between different teams and the personalisation of caring interventions to be monitored. More research is needed to continue improving shared decision-making for hospital patients. Copyright © 2015 SEGG. Published by Elsevier Espana. All rights reserved.

  13. Radiation treatment in older patients: a framework for clinical decision making.

    PubMed

    Smith, Grace L; Smith, Benjamin D

    2014-08-20

    In older patients, radiation treatment plays a vital role in curative and palliative cancer therapy. Radiation treatment recommendations should be informed by a comprehensive, personalized risk-benefit assessment that evaluates treatment efficacy and toxicity. We review several clinical factors that distinctly affect efficacy and toxicity of radiation treatment in older patients. First, locoregional tumor behavior may be more indolent in older patients for some disease sites but more aggressive for other sites. Assessment of expected locoregional relapse risk informs the magnitude and timeframe of expected radiation treatment benefits. Second, assessment of the competing cancer versus noncancer mortality and morbidity risks contextualizes cancer treatment priorities holistically within patients' entire spectrum and time course of health needs. Third, assessment of functional reserve helps predict patients' acute treatment tolerance, differentiating those patients who are unlikely to benefit from treatment or who are at high risk for treatment complications. Potential radiation treatment options include immediate curative treatment, delayed curative treatment, and no treatment, with additional consideration given to altered radiation target, dose, or sequencing with chemotherapy and/or surgery. Finally, when cure is not feasible, palliative radiation therapy remains valuable for managing symptoms and achieving meaningful quality-of-life improvements. Our proposed decision-making framework integrates these factors to help radiation oncologists formulate strategic treatment recommendations within a multidisciplinary context. Future research is still needed to identify how advanced technologies can be judiciously applied in curative and palliative settings to enhance risk-benefit profiles of radiation treatment in older patients and more accurately quantify treatment efficacy in this group. © 2014 by American Society of Clinical Oncology.

  14. Optimal policy for value-based decision-making.

    PubMed

    Tajima, Satohiro; Drugowitsch, Jan; Pouget, Alexandre

    2016-08-18

    For decades now, normative theories of perceptual decisions, and their implementation as drift diffusion models, have driven and significantly improved our understanding of human and animal behaviour and the underlying neural processes. While similar processes seem to govern value-based decisions, we still lack the theoretical understanding of why this ought to be the case. Here, we show that, similar to perceptual decisions, drift diffusion models implement the optimal strategy for value-based decisions. Such optimal decisions require the models' decision boundaries to collapse over time, and to depend on the a priori knowledge about reward contingencies. Diffusion models only implement the optimal strategy under specific task assumptions, and cease to be optimal once we start relaxing these assumptions, by, for example, using non-linear utility functions. Our findings thus provide the much-needed theory for value-based decisions, explain the apparent similarity to perceptual decisions, and predict conditions under which this similarity should break down.

  15. Optimal policy for value-based decision-making

    PubMed Central

    Tajima, Satohiro; Drugowitsch, Jan; Pouget, Alexandre

    2016-01-01

    For decades now, normative theories of perceptual decisions, and their implementation as drift diffusion models, have driven and significantly improved our understanding of human and animal behaviour and the underlying neural processes. While similar processes seem to govern value-based decisions, we still lack the theoretical understanding of why this ought to be the case. Here, we show that, similar to perceptual decisions, drift diffusion models implement the optimal strategy for value-based decisions. Such optimal decisions require the models' decision boundaries to collapse over time, and to depend on the a priori knowledge about reward contingencies. Diffusion models only implement the optimal strategy under specific task assumptions, and cease to be optimal once we start relaxing these assumptions, by, for example, using non-linear utility functions. Our findings thus provide the much-needed theory for value-based decisions, explain the apparent similarity to perceptual decisions, and predict conditions under which this similarity should break down. PMID:27535638

  16. Evidence-informed decision making for nutrition: African experiences and way forward.

    PubMed

    Aryeetey, Richmond; Holdsworth, Michelle; Taljaard, Christine; Hounkpatin, Waliou Amoussa; Colecraft, Esi; Lachat, Carl; Nago, Eunice; Hailu, Tesfaye; Kolsteren, Patrick; Verstraeten, Roos

    2017-11-01

    Although substantial amount of nutrition research is conducted in Africa, the research agenda is mainly donor-driven. There is a clear need for a revised research agenda in Africa which is both driven by and responding to local priorities. The present paper summarises proceedings of a symposium on how evidence can guide decision makers towards context-appropriate priorities and decisions in nutrition. The paper focuses on lessons learnt from case studies by the Evidence Informed Decision Making in Nutrition and Health Network implemented between 2015 and 2016 in Benin, Ghana and South Africa. Activities within these countries were organised around problem-oriented evidence-informed decision-making (EIDM), capacity strengthening and leadership and horizontal collaboration. Using a combination of desk-reviews, stakeholder influence-mapping, semi-structured interviews and convening platforms, these country-level studies demonstrated strong interest for partnership between researchers and decision makers, and use of research evidence for prioritisation and decision making in nutrition. Identified capacity gaps were addressed through training workshops on EIDM, systematic reviews, cost-benefit evaluations and evidence contextualisation. Investing in knowledge partnerships and development of capacity and leadership are key to drive appropriate use of evidence in nutrition policy and programming in Africa.

  17. Reduction in growth threshold for pulmonary metastases: an opportunity for volumetry and its impact on treatment decisions.

    PubMed

    Vogel, M N; Schmücker, S; Maksimovic, O; Hartmann, J; Claussen, C D; Horger, M

    2012-07-01

    This study compares tumour response assessment by automated CT volumetry and standard manual measurements regarding the impact on treatment decisions and patient outcome. 58 consecutive patients with 203 pulmonary metastases undergoing baseline and follow-up multirow detector CT (MDCT) under chemotherapy were assessed for response to chemotherapy. Tumour burden of pulmonary target lesions was quantified in three ways: (1) following response evaluation criteria in solid tumours (RECIST); (2) following the volume equivalents of RECIST (i.e. with a threshold of -65/+73%); and (3) using calculated limits for stable disease (SD). For volumetry, calculated limits had been set at ±38% prior to the study by repeated quantification of nodules scanned twice. Results were compared using non-weighted κ-values and were evaluated for their impact on treatment decisions and patient outcome. In 15 (17%) of the 58 patients, the results of response assessment were inconsistent with 1 of the 3 methods, which would have had an impact on treatment decisions in 8 (13%). Patient outcome regarding therapy response could be verified in 5 (33%) of the 15 patients with inconsistent measurement results and was consistent with both RECIST and volumetry in 1, with calculated limits in 3 and with none in 1. Diagnosis as to the overall response was consistent with RECIST in six patients, with volumetry in six and with calculated limits in eight cases. There is an impact of different methods for therapy response assessment on treatment decisions. A reduction of threshold for SD to ±30-40% of volume change seems reasonable when using volumetry.

  18. What factors hinder the decision-making process for women with cancer and contemplating fertility preservation treatment?

    PubMed

    Jones, Georgina; Hughes, Jane; Mahmoodi, Neda; Smith, Emily; Skull, Jonathan; Ledger, William

    2017-07-01

    Although fertility preservation (FP) treatment options have increased, the existing evidence suggests that many women with cancer do not feel well supported in making these decisions, but find them stressful and complex and fail to take up fertility care at this crucial time. Whilst existing reviews have all made important contributions to our understanding of the FP decision-making process, none of them examine solely and specifically these processes for women of reproductive age with a diagnosis of any cancer, leaving a gap in the knowledge base. Given the expectation that care is patient-centred, our review aims to address this gap which may be of help to those managing patients struggling to make difficult decisions in the often brief period before potentially sterilizing cancer treatment is started. Underpinning this narrative review was the question 'What factors hinder the decision-making process for women with any cancer and contemplating FP treatment?' Our objectives were to (i) assess and summarize this existing literature, (ii) identify the factors that hinder this decision-making process, (iii) explore to what extent these factors may differ for women choosing different methods of FP and (iv) make recommendations for service delivery and future research. A systematic search of the medical and social science literature from the 1 January 2005 up to the end of January 2016 was carried out using three electronic databases (Web of Science (PubMed), Ovid SP Medline and CINAHL via Ebsco). Included in the review were quantitative, qualitative and mixed-method studies. Reference lists of relevant papers were also hand searched. From the 983 papers identified, 46 papers were included. Quality assessment was undertaken using the Mixed Methods Appraisal Tool and thematic analysis was used to analyse the data. From the analysis, 6 key themes with 15 sub-themes emerged: (i) fertility information provision (lack of information, timing of the information, patient

  19. Data and Decision Making: Same Organization, Different Perceptions; Different Organizations, Different Perceptions

    ERIC Educational Resources Information Center

    Maxwell, Nan L.; Rotz, Dana; Garcia, Christina

    2016-01-01

    This study examines the perceptions of data-driven decision making (DDDM) activities and culture in organizations driven by a social mission. Analysis of survey information from multiple stakeholders in each of eight social enterprises highlights the wide divergence in views of DDDM. Within an organization, managerial and nonmanagerial staff…

  20. Robust learning for optimal treatment decision with NP-dimensionality

    PubMed Central

    Shi, Chengchun; Song, Rui; Lu, Wenbin

    2016-01-01

    In order to identify important variables that are involved in making optimal treatment decision, Lu, Zhang and Zeng (2013) proposed a penalized least squared regression framework for a fixed number of predictors, which is robust against the misspecification of the conditional mean model. Two problems arise: (i) in a world of explosively big data, effective methods are needed to handle ultra-high dimensional data set, for example, with the dimension of predictors is of the non-polynomial (NP) order of the sample size; (ii) both the propensity score and conditional mean models need to be estimated from data under NP dimensionality. In this paper, we propose a robust procedure for estimating the optimal treatment regime under NP dimensionality. In both steps, penalized regressions are employed with the non-concave penalty function, where the conditional mean model of the response given predictors may be misspecified. The asymptotic properties, such as weak oracle properties, selection consistency and oracle distributions, of the proposed estimators are investigated. In addition, we study the limiting distribution of the estimated value function for the obtained optimal treatment regime. The empirical performance of the proposed estimation method is evaluated by simulations and an application to a depression dataset from the STAR*D study. PMID:28781717

  1. The Effect of Total Cost Information on Consumer Treatment Decisions: An Experimental Survey.

    PubMed

    Kwon, Regina; Allen, Larry A; Scherer, Laura D; Thompson, Jocelyn S; Abdel-Maksoud, Madiha F; McIlvennan, Colleen K; Matlock, Daniel D

    2018-07-01

    Unrestrained use of expensive, high-risk interventions runs counter to the idea of a limited medical commons. To examine the effect of displaying the total first-year cost of implanting a left ventricular assist device (LVAD) on a hypothetical treatment decision and whether this effect differs when choosing for oneself versus for another person. We conducted an online survey in February 2016. The survey described the clinical course of end-stage heart failure and the risks and benefits of an LVAD. Participants were randomized to 1 of 4 scenarios, which varied by patient identity (oneself versus another person) and description of total cost. This study measured acceptance of LVAD implantation. Reasoning and attitudes were secondarily explored. We received 1211 valid responses. The mean age was 38.3 y (±12.8); 53.5% were female and 84.4% were white. Participants were more likely to accept an LVAD when shown the total cost (66.2% v. 58.0%, P = 0.003) or when choosing for another (68.0 % v. 56.4%, P < 0.001). Open-ended responses indicated that acceptors wanted to extend survival while decliners feared poor quality of life with LVAD therapy. Acceptors and decliners agreed that consumers can help lower the cost of health care, but decliners were more likely to consider cost when making health care decisions ( P < 0.001). Limitations include the use of a hypothetical scenario, the use of paid participants, and differences between the respondents and the typical patient facing an LVAD decision. In this sample, being shown the total cost increased the likelihood of accepting an expensive, high-risk treatment. The results question how well consumers understand the relationship between expensive treatments and the commons.

  2. Decision making tools for selecting sustainable wastewater treatment technologies in Thailand

    NASA Astrophysics Data System (ADS)

    Wongburi, Praewa; Park, Jae K.

    2018-05-01

    Wastewater consists of valuable resources that could be recovered or reused. Still it is under threat because of ineffective wastewater management and systems. In Thailand, less than 25% of wastewater generated may be treated while then rest is inadequately treated and sent back directly into waterbodies or the environment. Furthermore, the technologies that have been applied may be inefficient and unsustainable. Efficiency, sustainability, and simplicity are important concepts when designing an appropriate wastewater treatment system in developing countries. The objectives of this study were to review and evaluate wastewater treatment technologies and propose a method to improve or select an appropriate technology. An expert system in Excel® program was developed to determine the best solution. Sensitivity analysis was applied to compare and assess uncertainty factors. Due to the different conditions of each area, the key factor of interest was varied. Furthermore, Robust Decision Making tool was applied to determine the best way to improve existing wastewater treatment facility and to choose the most appropriate wastewater treatment technology.

  3. Cancer-related information needs and treatment decision-making experiences of people with dementia in England: a multiple perspective qualitative study.

    PubMed

    McWilliams, Lorna; Farrell, Carole; Keady, John; Swarbrick, Caroline; Burgess, Lorraine; Grande, Gunn; Bellhouse, Sarah; Yorke, Janelle

    2018-04-12

    Little is known about the cancer experience and support needs of people with dementia. In particular, no evidence currently exists to demonstrate the likely complex decision-making processes for this patient group and the oncology healthcare professionals (HCP) involved in their care. The aim of this study was to explore the cancer-related information needs and decision-making experiences of patients with cancer and comorbid dementia, their informal caregivers and oncology HCPs. Cross-sectional qualitative study. Semistructured interviews were conducted face to face with participants. Interviews were audio recorded and transcribed prior to thematic analysis. Patients with a diagnosis of cancer and dementia, their informal caregivers and oncology HCPs involved in their care, all recruited from a regional treatment cancer centre. Purposeful sample of 10 patients with a diagnosis of cancer-dementia, informal caregivers (n=9) and oncology HCPs (n=12). Four themes were identified: (1) leading to the initial consultation-HCPs require more detailed information on the functional impact of dementia and how it may influence cancer treatment options prior to meeting the patient; (2) communicating clinically relevant information-informal caregivers are relied on to provide patient information, advocate for the patient and support decision-making; (3) adjustments to cancer care-patients with dementia get through treatment with the help of their family and (4) following completion of cancer treatment-there are continuing information needs. Oncology HCPs discussed their need to consult specialists in dementia care to support treatment decision-making. Although patients with cancer-dementia are involved in their treatment decision-making, informal caregivers are generally crucial in supporting this process. Individual patient needs and circumstances related to their cancer must be considered in the context of dementia prognosis highlighting complexities of decision-making in this

  4. Data: Mining with a Mission- Data-Driven Decision Making Is the Buzz Phrase of Choice for the New Decade. but Once We've Got the Information, How Do We Use It to Yield Results?

    ERIC Educational Resources Information Center

    Salpeter, Judy

    2004-01-01

    For some districts, the current obsession with data grows out of the need to comply with No Child Left Behind and additional accountability-related mandates. For others, it dates way back before the phrase "data-driven decision making" rolled so frequently off the tongues of educators. In either case, there is no denying that an integral…

  5. Shared decision making, paternalism and patient choice.

    PubMed

    Sandman, Lars; Munthe, Christian

    2010-03-01

    In patient centred care, shared decision making is a central feature and widely referred to as a norm for patient centred medical consultation. However, it is far from clear how to distinguish SDM from standard models and ideals for medical decision making, such as paternalism and patient choice, and e.g., whether paternalism and patient choice can involve a greater degree of the sort of sharing involved in SDM and still retain their essential features. In the article, different versions of SDM are explored, versions compatible with paternalism and patient choice as well as versions that go beyond these traditional decision making models. Whenever SDM is discussed or introduced it is of importance to be clear over which of these different versions are being pursued, since they connect to basic values and ideals of health care in different ways. It is further argued that we have reason to pursue versions of SDM involving, what is called, a high level dynamics in medical decision-making. This leaves four alternative models to choose between depending on how we balance between the values of patient best interest, patient autonomy, and an effective decision in terms of patient compliance or adherence: Shared Rational Deliberative Patient Choice, Shared Rational Deliberative Paternalism, Shared Rational Deliberative Joint Decision, and Professionally Driven Best Interest Compromise. In relation to these models it is argued that we ideally should use the Shared Rational Deliberative Joint Decision model. However, when the patient and professional fail to reach consensus we will have reason to pursue the Professionally Driven Best Interest Compromise model since this will best harmonise between the different values at stake: patient best interest, patient autonomy, patient adherence and a continued care relationship.

  6. Decision making in a multidisciplinary cancer team: does team discussion result in better quality decisions?

    PubMed

    Kee, Frank; Owen, Tracy; Leathem, Ruth

    2004-01-01

    To establish whether treatment recommendations made by clinicians concur with the best outcomes predicted from their prognostic estimates and whether team discussion improves the quality or outcome of their decision making, the authors studied real-time decision making by a lung cancer team. Clinicians completed pre- and postdiscussion questionnaires for 50 newly diagnosed patients. For each patient/doctor pairing, a decision model determined the expected patient outcomes from the clinician's prognostic estimates. The difference between the expected utility of the recommended treatment and the maximum utility derived from the clinician's predictions of the outcomes (the net utility loss) following all potential treatment modalities was calculated as an indicator of quality of the decision. The proportion of treatment decisions changed by the multidisciplinary team discussion was also calculated. Insofar as the change in net utility loss brought about by multidisciplinary team discussion was not significantly different from zero, team discussion did not improve the quality of decision making overall. However, given the modest power of the study, these findings must be interpreted with caution. In only 23 of 87 instances (26%) in which an individual specialist's initial treatment preference differed from the final group judgment did the specialist finally concur with the group treatment choice after discussion. This study does not support the theory that team discussion improves decision making by closing a knowledge gap.

  7. Efficient GIS-based model-driven method for flood risk management and its application in central China

    NASA Astrophysics Data System (ADS)

    Liu, Y.; Zhou, J.; Song, L.; Zou, Q.; Guo, J.; Wang, Y.

    2014-02-01

    In recent years, an important development in flood management has been the focal shift from flood protection towards flood risk management. This change greatly promoted the progress of flood control research in a multidisciplinary way. Moreover, given the growing complexity and uncertainty in many decision situations of flood risk management, traditional methods, e.g., tight-coupling integration of one or more quantitative models, are not enough to provide decision support for managers. Within this context, this paper presents a beneficial methodological framework to enhance the effectiveness of decision support systems, through the dynamic adaptation of support regarding the needs of the decision-maker. In addition, we illustrate a loose-coupling technical prototype for integrating heterogeneous elements, such as multi-source data, multidisciplinary models, GIS tools and existing systems. The main innovation is the application of model-driven concepts, which put the system in a state of continuous iterative optimization. We define the new system as a model-driven decision support system (MDSS ). Two characteristics that differentiate the MDSS are as follows: (1) it is made accessible to non-technical specialists; and (2) it has a higher level of adaptability and compatibility. Furthermore, the MDSS was employed to manage the flood risk in the Jingjiang flood diversion area, located in central China near the Yangtze River. Compared with traditional solutions, we believe that this model-driven method is efficient, adaptable and flexible, and thus has bright prospects of application for comprehensive flood risk management.

  8. Dentists' perspectives on caries-related treatment decisions.

    PubMed

    Gomez, J; Ellwood, R P; Martignon, S; Pretty, I A

    2014-06-01

    To assess the impact of patient risk status on Colombian dentists' caries related treatment decisions for early to intermediate caries lesions (ICDAS code 2 to 4). A web-based questionnaire assessed dentists' views on the management of early/intermediate lesions. The questionnaire included questions on demographic characteristics, five clinical scenarios with randomised levels of caries risk, and two questions on different clinical and radiographic sets of images with different thresholds of caries. Questionnaires were completed by 439 dentists. For the two scenarios describing occlusal lesions ICDAS code 2, dentists chose to provide a preventive option in 63% and 60% of the cases. For the approximal lesion ICDAS code 2, 81% of the dentists chose to restore. The main findings of the binary logistic regression analysis for the clinical scenarios suggest that for the ICDAS code 2 occlusal lesions, the odds of a high caries risk patient having restorations is higher than for a low caries risk patient. For the questions describing different clinical thresholds of caries, most dentists would restore at ICDAS code 2 (55%) and for the question showing different radiographic thresholds images, 65% of dentists would intervene operatively at the inner half of enamel. No significant differences with respect to risk were found for these questions with the logistic regression. The results of this study indicate that Colombian dentists have not yet fully adopted non-invasive treatment for early caries lesions.

  9. Primary Care Provider Views About Usefulness and Dissemination of a Web-Based Depression Treatment Information Decision Aid.

    PubMed

    Beaulac, Julie; Westmacott, Robin; Walker, John R; Vardanyan, Gohar

    2016-06-08

    Decisions related to mental health are often complex, problems often remain undetected and untreated, information unavailable or not used, and treatment decisions frequently not informed by best practice or patient preferences. The objective of this paper was to obtain the opinions of health professionals working in primary health care settings about a Web-based information decision aid (IDA) for patients concerning treatment options for depression and the dissemination of the resources in primary care settings. Participants were recruited from primary care clinics in Winnipeg and Ottawa, Canada, and included 48 family physicians, nurses, and primary care staff. The study design was a qualitative framework analytic approach of 5 focus groups. Focus groups were conducted during regular staff meetings, were digitally recorded, and transcripts created. Analysis involved a content and theme analysis. Seven key themes emerged including the key role of the primary care provider, common questions about treatments, treatment barriers, sources of patient information, concern about quality and quantity of available information, positive opinions about the IDA, and disseminating the IDA. The most common questions mentioned were about medication and side effects and alternatives to medication. Patients have limited access to alternative treatment options owing to cost and availability. Practitioners evaluated the IDA positively. The resources were described as useful, supportive of providers' messages, and accessible for patients. There was unanimous consensus that information needs to be available electronically through the Internet.

  10. Syndromic treatment of gonococcal and chlamydial infections in women seeking primary care for the genital discharge syndrome: decision-making.

    PubMed Central

    Behets, F. M.; Miller, W. C.; Cohen, M. S.

    2001-01-01

    The syndromic treatment of gonococcal and chlamydial infections in women seeking primary care in clinics where resources are scarce, as recommended by WHO and implemented in many developing countries, necessitates a balance to be struck between overtreatment and undertreatment. The present paper identifies factors that are relevant to the selection of specific strategies for syndromic treatment in the above circumstances. Among them are the general aspects of decision-making and caveats concerning the rational decision-making approach. The positive and negative implications are outlined of providing or withholding treatment following a specific algorithm with a given accuracy to detect infection, i.e. sensitivity, specificity and predictive values. Other decision-making considerations that are identified are related to implementation and include the stability of risk factors with regard to time, space and the implementer, acceptability by stakeholders, and environmental constraints. There is a need to consider empirically developed treatment algorithms as a basis for policy discourse, to be evaluated together with the evidence, alternatives and arguments by the stakeholders. PMID:11731816

  11. Shared decision-making and decision support: their role in obstetrics and gynecology.

    PubMed

    Tucker Edmonds, Brownsyne

    2014-12-01

    To discuss the role for shared decision-making in obstetrics/gynecology and to review evidence on the impact of decision aids on reproductive health decision-making. Among the 155 studies included in a 2014 Cochrane review of decision aids, 31 (29%) addressed reproductive health decisions. Although the majority did not show evidence of an effect on treatment choice, there was a greater uptake of mammography in selected groups of women exposed to decision aids compared with usual care; and a statistically significant reduction in the uptake of hormone replacement therapy among detailed decision aid users compared with simple decision aid users. Studies also found an effect on patient-centered outcomes of care, such as medication adherence, quality-of-life measures, and anxiety scores. In maternity care, only decision analysis tools affected final treatment choice, and patient-directed aids yielded no difference in planned mode of birth after cesarean. There is untapped potential for obstetricians/gynecologists to optimize decision support for reproductive health decisions. Given the limited evidence-base guiding practice, the preference-sensitive nature of reproductive health decisions, and the increase in policy efforts and financial incentives to optimize patients' satisfaction, it is increasingly important for obstetricians/gynecologists to appreciate the role of shared decision-making and decision support in providing patient-centered reproductive healthcare.

  12. The decisions regarding ADHD management (DRAMa) study: uncertainties and complexities in assessment, diagnosis and treatment, from the clinician's point of view.

    PubMed

    Kovshoff, Hanna; Williams, Sarah; Vrijens, May; Danckaerts, Marina; Thompson, Margaret; Yardley, Lucy; Hodgkins, Paul; Sonuga-Barke, Edmund J S

    2012-02-01

    Clinical decision making is influenced by a range of factors and constitutes an inherently complex task. Here we present results from the decisions regarding ADHD management (DRAMa) study in which we undertook a thematic analysis of clinicians' experiences and attitudes to assessment, diagnosis and treatment of ADHD. Fifty prescribing child psychiatrists and paediatricians from Belgium and the UK took part in semi-structured interviews about their decisions regarding the assessment, diagnosis and treatment of ADHD. Interviews were transcribed and processed using thematic analysis and the principles of grounded theory. Clinicians described the assessment and diagnostic process as inherently complicated and requiring time and experience to piece together the accounts of children made by multiple sources and through the use of varying information gathering techniques. Treatment decisions were viewed as a shared process between families, children, and the clinician. Published guidelines were viewed as vague, and few clinicians spoke about the use of symptom thresholds or specific impairment criteria. Furthermore, systematic or operationalised criteria to assess treatment outcomes were rarely used. Decision making in ADHD is regarded as a complicated, time consuming process which requires extensive use of clinical impression, and involves a partnership with parents. Clinicians want to separate biological from environmental causal factors to understand the level of impairment and the subsequent need for a diagnosis of ADHD. Clinical guidelines would benefit from revisions to take into account the real-world complexities of clinical decision making for ADHD.

  13. 'One also needs a bit of trust in the doctor ... ': a qualitative interview study with pancreatic cancer patients about their perceptions and views on information and treatment decision-making.

    PubMed

    Schildmann, J; Ritter, P; Salloch, S; Uhl, W; Vollmann, J

    2013-09-01

    Information about diagnosis, treatment options and prognosis has been emphasized as a key to empower cancer patients to make treatment decisions reflecting their values. However, surveys indicate that patients' preferences regarding information and treatment decision-making differ. In this qualitative interview study, we explored pancreatic cancer patients' perceptions and preferences on information and treatment decision-making. Qualitative in-depth interviews with patients with pancreatic cancer. Purposive sampling and qualitative analysis were carried out. We identified two stages of information and treatment decision-making. Patients initially emphasize trust in their physician and indicate rather limited interest in details about surgical and medical treatment. In the latter stage of disease, patients perceive themselves more active regarding information seeking and treatment decision-making. All patients discuss their poor prognosis. Reflecting on their own situation, all patients interviewed pointed out that hope was an important driver to undergo further treatment also in advanced stages of the disease. Interviewees unanimously emphasized the difficulty of anticipating the time at which stopping cancer treatment would be the right decision. The findings can serve as starting point for reflection on professional decision-making in pancreatic cancer and larger representative surveys on ethical issues in treatment decision-making in pancreatic cancer.

  14. Reduction in growth threshold for pulmonary metastases: an opportunity for volumetry and its impact on treatment decisions

    PubMed Central

    Vogel, M N; Schmücker, S; Maksimovic, O; Hartmann, J; Claussen, C D; Horger, M

    2012-01-01

    Objectives This study compares tumour response assessment by automated CT volumetry and standard manual measurements regarding the impact on treatment decisions and patient outcome. Methods 58 consecutive patients with 203 pulmonary metastases undergoing baseline and follow-up multirow detector CT (MDCT) under chemotherapy were assessed for response to chemotherapy. Tumour burden of pulmonary target lesions was quantified in three ways: (1) following response evaluation criteria in solid tumours (RECIST); (2) following the volume equivalents of RECIST (i.e. with a threshold of −65/+73%); and (3) using calculated limits for stable disease (SD). For volumetry, calculated limits had been set at ±38% prior to the study by repeated quantification of nodules scanned twice. Results were compared using non-weighted κ-values and were evaluated for their impact on treatment decisions and patient outcome. Results In 15 (17%) of the 58 patients, the results of response assessment were inconsistent with 1 of the 3 methods, which would have had an impact on treatment decisions in 8 (13%). Patient outcome regarding therapy response could be verified in 5 (33%) of the 15 patients with inconsistent measurement results and was consistent with both RECIST and volumetry in 1, with calculated limits in 3 and with none in 1. Diagnosis as to the overall response was consistent with RECIST in six patients, with volumetry in six and with calculated limits in eight cases. There is an impact of different methods for therapy response assessment on treatment decisions. Conclusion A reduction of threshold for SD to ±30–40% of volume change seems reasonable when using volumetry. PMID:22745205

  15. Clinical Decision-Making in Community Children’s Mental Health: Using Innovative Methods to Compare Clinicians With and Without Training in Evidence-Based Treatment

    PubMed Central

    Baker-Ericzén, Mary J.; Jenkins, Melissa M.; Park, Soojin; Garland, Ann F.

    2014-01-01

    Background Mental health professionals’ decision-making practice is an area of increasing interest and importance, especially in the pediatric research and clinical communities. Objective The present study explored the role of prior training in evidence-based treatments on clinicians’ assessment and treatment formulations using case vignettes. Specifically, study aims included using the Naturalistic Decision Making (NDM) cognitive theory to 1) examine potential associations between EBT training and decision-making processes (novice versus expert type), and 2) explore how client and family contextual information affects clinical decision-making. Methods Forty-eight clinicians across two groups (EBT trained=14, Not EBT trained=34) participated. Clinicians were comparable on professional experience, demographics, and discipline. The quasi-experimental design used an analog “think aloud” method where clinicians read case vignettes about a child with disruptive behavior problems and verbalized case conceptualization and treatment planning out-loud. Responses were coded according to NDM theory. Results MANOVA results were significant for EBT training status such that EBT trained clinicians’ displayed cognitive processes more closely aligned with “expert” decision-makers and non-EBT trained clinicians’ decision processes were more similar to “novice” decision-makers, following NDM theory. Non-EBT trained clinicians assigned significantly more diagnoses, provided less detailed treatment plans and discussed fewer EBTs. Parent/family contextual information also appeared to influence decision-making. Conclusion This study offers a preliminary investigation of the possible broader impacts of EBT training and potential associations with development of expert decision-making skills. Targeting clinicians’ decision-making may be an important avenue to pursue within dissemination-implementation efforts in mental health practice. PMID:25892901

  16. Evaluation of healthcare waste treatment/disposal alternatives by using multi-criteria decision-making techniques.

    PubMed

    Özkan, Aysun

    2013-02-01

    Healthcare waste should be managed carefully because of infected, pathological, etc. content especially in developing countries. Applied management systems must be the most appropriate solution from a technical, environmental, economic and social point of view. The main objective of this study was to analyse the current status of healthcare waste management in Turkey, and to investigate the most appropriate treatment/disposal option by using different decision-making techniques. For this purpose, five different healthcare waste treatment/disposal alternatives including incineration, microwaving, on-site sterilization, off-site sterilization and landfill were evaluated according to two multi-criteria decision-making techniques: analytic network process (ANP) and ELECTRE. In this context, benefits, costs and risks for the alternatives were taken into consideration. Furthermore, the prioritization and ranking of the alternatives were determined and compared for both methods. According to the comparisons, the off-site sterilization technique was found to be the most appropriate solution in both cases.

  17. Family reliance on physicians' decisions in life-sustaining treatments in acute-on-chronic respiratory diseases in a respiratory ICU: a single-center study.

    PubMed

    Monteiro, Filipe

    2014-03-01

    In ICUs, many patients are unable to participate in decision-making regarding life-sustaining treatments. This study evaluated the opinions of family members about family and physician participation in life-sustaining treatment decisions and examined factors that influence those decisions. This was a prospective exploratory observational study that used convenience sampling. Inquiry interviews were conducted over a 3-year period, with 126 family members (out of 303 potential participants) of patients with acute-on-chronic respiratory failure, who had been admitted to the respiratory ICU and were dependent on invasive or noninvasive mechanical ventilation. Patients of ≤ 18 years old, with a stay of < 3 days, and oncologic patients were excluded. Ninety-eight percent (123/126) of the participant family members had an opinion about their involvement in decision-making about life-sustaining treatments. Physician choice was preferred by 54/123 (44%), 55/123 (45%) wished to share the decision with the physician, and 14/123 (11%) wished the family to decide. All the patients were incompetent at the time of inquiry. Autonomy prior to admission to the respiratory ICU influenced the decision. A majority of the families relied on physicians to help in the decision-making process about life-sustaining treatments in patients with acute-on-chronic respiratory diseases. From the family's point of view, the principle of autonomy can be exercised by delegating the decision-making process to the physician. To assume a uniform ethical conduct is to antagonize the definition of ethics.

  18. The effect of driven exercise on treatment outcomes for adolescents with anorexia and bulimia nervosa.

    PubMed

    Stiles-Shields, Colleen; DclinPsy, Bryony Bamford; Lock, James; Le Grange, Daniel

    2015-05-01

    This study investigated the prevalence of driven exercise (DE) and its role in treatment outcome for adolescents with bulimia nervosa (BN) and anorexia nervosa (AN). Participants were 201 adolescents with an eating disorder (ED) (80 with BN and 121 with AN) presenting for outpatient treatment at two specialist clinics. All adolescents participated in one of two randomized controlled trials. Descriptive statistics were conducted to evaluate the presence and frequency of baseline DE. Exploratory hierarchical regressions were used to evaluate the effect of baseline DE on treatment outcomes. About 66.3% of adolescents with BN and 23.1% of adolescents with AN presented with baseline DE. The presence of baseline DE predicted significantly worse outcomes for adolescents with AN in terms of ED symptom severity (ps < .004); however, baseline DE did not significantly predict any of the evaluated outcomes for adolescents with BN (ps < .05). The results of this secondary exploratory data suggest that DE is prevalent for adolescents with BN and AN. However, DE may be related to different constructs for adolescents with AN than those with BN, suggesting differences in treatment needs. © 2014 Wiley Periodicals, Inc.

  19. Salience driven value integration explains decision biases and preference reversal

    PubMed Central

    Tsetsos, Konstantinos; Chater, Nick; Usher, Marius

    2012-01-01

    Human choice behavior exhibits many paradoxical and challenging patterns. Traditional explanations focus on how values are represented, but little is known about how values are integrated. Here we outline a psychophysical task for value integration that can be used as a window on high-level, multiattribute decisions. Participants choose between alternative rapidly presented streams of numerical values. By controlling the temporal distribution of the values, we demonstrate that this process underlies many puzzling choice paradoxes, such as temporal, risk, and framing biases, as well as preference reversals. These phenomena can be explained by a simple mechanism based on the integration of values, weighted by their salience. The salience of a sampled value depends on its temporal order and momentary rank in the decision context, whereas the direction of the weighting is determined by the task framing. We show that many known choice anomalies may arise from the microstructure of the value integration process. PMID:22635271

  20. The barriers to patient-driven treatment in mental health: why patients may choose to follow their own path.

    PubMed

    Greenall, Paul

    2006-01-01

    The paper aims to explore the barriers that currently exist to patient-driven treatment within the field of mental health care and reform. This study represents action learning research using grounded theory to explore a possible causal basis for recidivism related to non-compliance with medication. Interviews addressed concerns from the literature around perceived barriers to patient-driven treatment evidenced by non-compliance with medically recommended pharmaceutical treatment. Results were correlated to look for emergent themes that were used to form the basis for subsequent interview questions. An analysis of the resulting emergent themes illustrated the importance of participatory treatment and coaching rather than medically applied paternalistic care, which is seen as encouraging learned helplessness on the part of patients. Similar helplessness was also revealed in clinicians themselves. Patients' awareness of their own needs and demands for more services place clients and the caregivers at odds over appropriate care in an environment of limited resources. The research was limited to only a small number of interviewees in one institution, all of whom were closely associated with mental illness in various capacities. The grounded theory nature of the research does, however, provide a framework for more research in other institutions to test and further explore some of the findings. The study demonstrated a reinforcement of Maslow's theory of needs hierarchy. The study illustrated a step-wise approach to treatment to decrease the rate of failure and recidivism in mental health care. The provision of a stable living environment was viewed as instrumental in improving patients' compliance with pharmaceutical treatment. An action plan was therefore created to initiate the support of a transitional/emergency house by various community groups in partnership with pharmaceutical manufacturing companies. Recidivism in mental health-created by non-compliance in

  1. Fenton-Driven Regeneration of MTBE-spent Granular Activated Carbon

    EPA Science Inventory

    Fenton-driven regeneration of Methyl tert-butyl ether (MTBE)-spent granular activated carbon (GAC) involves the combined, synergistic use of two treatment technologies: adsorption of organic chemicals onto activated carbon and Fenton-driven oxidation regeneration of the spent-GAC...

  2. Breast cancer treatment decision making among Latinas and non-Latina Whites: a communication model predicting decisional outcomes and quality of life.

    PubMed

    Yanez, Betina; Stanton, Annette L; Maly, Rose C

    2012-09-01

    Deciding among medical treatment options is a pivotal event following cancer diagnosis, a task that can be particularly daunting for individuals uncomfortable with communication in a medical context. Few studies have explored the surgical decision-making process and associated outcomes among Latinas. We propose a model to elucidate pathways through which acculturation (indicated by language use) and reports of communication effectiveness specific to medical decision making contribute to decisional outcomes (i.e., congruency between preferred and actual involvement in decision making, treatment satisfaction) and quality of life among Latinas and non-Latina White women with breast cancer. Latinas (N = 326) and non-Latina Whites (N = 168) completed measures six months after breast cancer diagnosis, and quality of life was assessed 18 months after diagnosis. Structural equation modeling was used to examine relationships between language use, communication effectiveness, and outcomes. Among Latinas, 63% reported congruency in decision making, whereas 76% of non-Latina Whites reported congruency. In Latinas, greater use of English was related to better reported communication effectiveness. Effectiveness in communication was not related to congruency in decision making, but several indicators of effectiveness in communication were related to greater treatment satisfaction, as was greater congruency in decision making. Greater treatment satisfaction predicted more favorable quality of life. The final model fit the data well only for Latinas. Differences in quality of life and effectiveness in communication were observed between racial/ethnic groups. Findings underscore the importance of developing targeted interventions for physicians and Latinas with breast cancer to enhance communication in decision making. PsycINFO Database Record (c) 2012 APA, all rights reserved.

  3. Development of a real-time clinical decision support system upon the Web MVC-based architecture for prostate cancer treatment.

    PubMed

    Lin, Hsueh-Chun; Wu, Hsi-Chin; Chang, Chih-Hung; Li, Tsai-Chung; Liang, Wen-Miin; Wang, Jong-Yi Wang

    2011-03-08

    A real-time clinical decision support system (RTCDSS) with interactive diagrams enables clinicians to instantly and efficiently track patients' clinical records (PCRs) and improve their quality of clinical care. We propose a RTCDSS to process online clinical informatics from multiple databases for clinical decision making in the treatment of prostate cancer based on Web Model-View-Controller (MVC) architecture, by which the system can easily be adapted to different diseases and applications. We designed a framework upon the Web MVC-based architecture in which the reusable and extractable models can be conveniently adapted to other hospital information systems and which allows for efficient database integration. Then, we determined the clinical variables of the prostate cancer treatment based on participating clinicians' opinions and developed a computational model to determine the pretreatment parameters. Furthermore, the components of the RTCDSS integrated PCRs and decision factors for real-time analysis to provide evidence-based diagrams upon the clinician-oriented interface for visualization of treatment guidance and health risk assessment. The resulting system can improve quality of clinical treatment by allowing clinicians to concurrently analyze and evaluate the clinical markers of prostate cancer patients with instantaneous clinical data and evidence-based diagrams which can automatically identify pretreatment parameters. Moreover, the proposed RTCDSS can aid interactions between patients and clinicians. Our proposed framework supports online clinical informatics, evaluates treatment risks, offers interactive guidance, and provides real-time reference for decision making in the treatment of prostate cancer. The developed clinician-oriented interface can assist clinicians in conveniently presenting evidence-based information to patients and can be readily adapted to an existing hospital information system and be easily applied in other chronic diseases.

  4. Information giving and involvement in treatment decisions: is more really better? Psychological effects and relation with adherence.

    PubMed

    Wroe, Abigail L; Salkovskis, Paul M; Rees, Margaret; Jack, Tim

    2013-01-01

    The aim of this study is to improve our understanding of the ways in which a medical consultation style relates to satisfaction and adherence. Participants completed questionnaires about preferred and perceived consultation styles; psychological variables such as satisfaction, anxiety and depression; and questions about taking medication. Questionnaires were completed prior to the consultation, immediately after, three months later and one year later. Doctors also completed a scale on completion of the consultation. The decisions in question related to women seeking advice about Hormone Replacement Therapy (HRT) and decisions about pain management. Patients expressed preferences for information about the treatment options and for active involvement in the decision process. The extent to which patients perceived themselves as having received information about the treatment options was a particularly consistent predictor of satisfaction. The extent to which patients perceived themselves as having been prepared for the side effects of HRT was a consistent predictor of anxiety. Perceptions of the amount of information received about medical options, including information preparing individuals for potential side effects of medication, appears to be more important to satisfaction and anxiety, than actual involvement in the decision.

  5. Generalized Tumor Dose for Treatment Planning Decision Support

    NASA Astrophysics Data System (ADS)

    Zuniga, Areli A.

    Modern radiation therapy techniques allow for improved target conformity and normal tissue sparing. These highly conformal treatment plans have allowed dose escalation techniques increasing the probability of tumor control. At the same time this conformation has introduced inhomogeneous dose distributions, making delivered dose characterizations more difficult. The concept of equivalent uniform dose (EUD) characterizes a heterogeneous dose distribution within irradiated structures as a single value and has been used in biologically based treatment planning (BBTP); however, there are no substantial validation studies on clinical outcome data supporting EUD's use and therefore has not been widely adopted as decision-making support. These highly conformal treatment plans have also introduced the need for safety margins around the target volume. These margins are designed to minimize geometrical misses, and to compensate for dosimetric and treatment delivery uncertainties. The margin's purpose is to reduce the chance of tumor recurrence. This dissertation introduces a new EUD formulation designed especially for tumor volumes, called generalized Tumor Dose (gTD). It also investigates, as a second objective, margins extensions for potential improvements in local control while maintaining or minimizing toxicity. The suitability of gTD to rank LC was assessed by means of retrospective studies in a head and neck (HN) squamous cell carcinoma (SCC) and non-small cell lung cancer (NSCLC) cohorts. The formulation was optimized based on two datasets (one of each type) and then, model validation was assessed on independent cohorts. The second objective of this dissertation was investigated by ranking the probability of LC of the primary disease adding different margin sizes. In order to do so, an already published EUD formula was used retrospectively in a HN and a NSCLC datasets. Finally, recommendations for the viability to implement this new formulation into a routine treatment

  6. From Data to Improved Decisions: Operations Research in Healthcare Delivery.

    PubMed

    Capan, Muge; Khojandi, Anahita; Denton, Brian T; Williams, Kimberly D; Ayer, Turgay; Chhatwal, Jagpreet; Kurt, Murat; Lobo, Jennifer Mason; Roberts, Mark S; Zaric, Greg; Zhang, Shengfan; Schwartz, J Sanford

    2017-11-01

    The Operations Research Interest Group (ORIG) within the Society of Medical Decision Making (SMDM) is a multidisciplinary interest group of professionals that specializes in taking an analytical approach to medical decision making and healthcare delivery. ORIG is interested in leveraging mathematical methods associated with the field of Operations Research (OR) to obtain data-driven solutions to complex healthcare problems and encourage collaborations across disciplines. This paper introduces OR for the non-expert and draws attention to opportunities where OR can be utilized to facilitate solutions to healthcare problems. Decision making is the process of choosing between possible solutions to a problem with respect to certain metrics. OR concepts can help systematically improve decision making through efficient modeling techniques while accounting for relevant constraints. Depending on the problem, methods that are part of OR (e.g., linear programming, Markov Decision Processes) or methods that are derived from related fields (e.g., regression from statistics) can be incorporated into the solution approach. This paper highlights the characteristics of different OR methods that have been applied to healthcare decision making and provides examples of emerging research opportunities. We illustrate OR applications in healthcare using previous studies, including diagnosis and treatment of diseases, organ transplants, and patient flow decisions. Further, we provide a selection of emerging areas for utilizing OR. There is a timely need to inform practitioners and policy makers of the benefits of using OR techniques in solving healthcare problems. OR methods can support the development of sustainable long-term solutions across disease management, service delivery, and health policies by optimizing the performance of system elements and analyzing their interaction while considering relevant constraints.

  7. Preliminary testing of a just‐in‐time, user‐defined values clarification exercise to aid lower literate women in making informed breast cancer treatment decisions

    PubMed Central

    Jibaja‐Weiss, Maria L.; Volk, Robert J.; Friedman, Lois C.; Granchi, Thomas S.; Neff, Nancy E.; Spann, Stephen J.; Robinson, Emily K.; Aoki, Noriaki; Robert Beck, J.

    2006-01-01

    Abstract Objective  To report on the initial testing of a values clarification exercise utilizing a jewellery box within a computerized patient decision aid (CPtDA) designed to assist women in making a surgical breast cancer treatment decision. Design  Pre‐post design, with patients interviewed after diagnosis, and then after completing the CPtDA sometime later at their preoperative visit. Sample  Fifty‐one female patients, who are low literate and naïve computer users, newly diagnosed with early stage breast cancer from two urban public hospitals. Intervention  A computerized decision aid that combines entertainment‐education (edutainment) with enhanced (factual) content. An interactive jewellery box is featured to assist women in: (1) recording and reflecting over issues of concern with possible treatments, (2) deliberating over surgery decision, and (3) communicating with physician and significant others. Outcomes  Patients’ use of the jewellery box to store issues during completion of the CPtDA, and perceived clarity of values in making a treatment decision, as measured by a low literacy version of the Decisional Conflict Scale (DCS). Results  Over half of the participants utilized the jewellery box to store issues they found concerning about the treatments. On average, users flagged over 13 issues of concern with the treatments. Scores on the DCS Uncertainty and Feeling Unclear about Values subscales were lower after the intervention compared to before the decision was made. Conclusions  A values clarification exercise using an interactive jewellery box may be a promising method for promoting informed treatment decision making by low literacy breast cancer patients. PMID:16911136

  8. The effect of a geriatric evaluation on treatment decisions for older cancer patients--a systematic review.

    PubMed

    Hamaker, Marije E; Schiphorst, Anandi H; ten Bokkel Huinink, Daan; Schaar, Cees; van Munster, Barbara C

    2014-03-01

    The aim of this systematic review is to summarise all available data on the effect of a geriatric evaluation on the multidisciplinary treatment of older cancer patients, focussing on oncologic treatment decisions and the implementation of non-oncologic interventions. A systematic search in MEDLINE and EMBASE for studies on the effect of a geriatric evaluation on oncologic and non-oncologic treatment for older cancer patients. Literature search identified 1654 reports (624 from Medline and 1030 from Embase), of which 10 studies were included in the review. Three studies used a geriatric consultation while seven used a geriatric assessment performed by a cancer specialist, healthcare worker or (research) nurse. Six studies addressed a change in oncologic treatment, the initial treatment plan was modified in a median of 39% of patients after geriatric evaluation, of which two thirds resulted in less intensive treatment. Seven studies focused on the implementation of non-oncologic interventions based on the results of the geriatric evaluation; all but one reported that interventions were suggested for over 70% of patients, even in studies that did not focus specifically on frail older patients. In the other study, implementation of non-oncologic interventions was left to the cancer specialist's discretion. A geriatric evaluation has significant impact on oncologic and non-oncologic treatment decisions in older cancer patients and deserves consideration in the oncologic work-up for these patients.

  9. Providing guidance for genomics-based cancer treatment decisions: insights from stakeholder engagement for post-prostatectomy radiation therapy.

    PubMed

    Abe, James; Lobo, Jennifer M; Trifiletti, Daniel M; Showalter, Timothy N

    2017-08-24

    Despite the emergence of genomics-based risk prediction tools in oncology, there is not yet an established framework for communication of test results to cancer patients to support shared decision-making. We report findings from a stakeholder engagement program that aimed to develop a framework for using Markov models with individualized model inputs, including genomics-based estimates of cancer recurrence probability, to generate personalized decision aids for prostate cancer patients faced with radiation therapy treatment decisions after prostatectomy. We engaged a total of 22 stakeholders, including: prostate cancer patients, urological surgeons, radiation oncologists, genomic testing industry representatives, and biomedical informatics faculty. Slides were at each meeting to provide background information regarding the analytical framework. Participants were invited to provide feedback during the meeting, including revising the overall project aims. Stakeholder meeting content was reviewed and summarized by stakeholder group and by theme. The majority of stakeholder suggestions focused on aspects of decision aid design and formatting. Stakeholders were enthusiastic about the potential value of using decision analysis modeling with personalized model inputs for cancer recurrence risk, as well as competing risks from age and comorbidities, to generate a patient-centered tool to assist decision-making. Stakeholders did not view privacy considerations as a major barrier to the proposed decision aid program. A common theme was that decision aids should be portable across multiple platforms (electronic and paper), should allow for interaction by the user to adjust model inputs iteratively, and available to patients both before and during consult appointments. Emphasis was placed on the challenge of explaining the model's composite result of quality-adjusted life years. A range of stakeholders provided valuable insights regarding the design of a personalized decision

  10. Increased trends in the use of treatment-limiting decisions in a regional neurosurgical unit.

    PubMed

    Wilson, William T; McMillan, Tristan; Young, Adam M H; White, Mark A J

    2017-04-01

    Treatment-limiting decisions (TLDs) are employed to actively withhold treatment from patients whom clinicians feel would derive no benefit or suffer detrimental effects from further intervention. The use of such decisions has been heavily discussed in the media and clinicians in the past have been reluctant to institute them, even though it is in the best interests of the patients. Their use is influenced by several ethical, religious and social factors all of which have changed significantly over time. This study reports the trends in use of TLDs in a regional neurosurgical unit over 23 years. Patient archives were reviewed to identify the number of admissions and procedures performed at the Institute of Neurological Sciences, Glasgow, in the years 1988, 1997 and 2011. Death certificate records were used to identify mortality in the unit in the year 2011. Patient records were used to obtain details of diagnosis, time from admission to death, and the presence and timing of a TLD. The results show an increase in the use of TLDs, with decisions made for 89% of those who died in 2011, compared to 68% in 1997 and 51% in 1988. The number of admissions has increased substantially since 1988 as has the percentage of patients undergoing surgery (46, 67 and 72% in 1988, 1997 and 2011, respectively). There is a trending increase in the number of patients who have a TLD in our regional neurosurgical unit. This demonstrates an increased willingness of clinicians to recognise poor prognosis and to withdraw or withhold treatment in these cases. Continued appropriate use of the TLD is recommended but it is to only ever reflect the best interests of the patient.

  11. The Impact of Multifaceted Osteoporosis Group Education on Patients' Decision-Making regarding Treatment Options and Lifestyle Changes.

    PubMed

    Jensen, Annesofie L; Wind, Gitte; Langdahl, Bente Lomholt; Lomborg, Kirsten

    2018-01-01

    Patients with chronic diseases like osteoporosis constantly have to make decisions related to their disease. Multifaceted osteoporosis group education (GE) may support patients' decision-making. This study investigated multifaceted osteoporosis GE focusing on the impact of GE on patients' decision-making related to treatment options and lifestyle. An interpretive description design using ethnographic methods was utilized with 14 women and three men diagnosed with osteoporosis who attended multifaceted GE. Data consisted of participant observation during GE and individual interviews. Attending GE had an impact on the patients' decision-making in all educational themes. Patients decided on new ways to manage osteoporosis and made decisions regarding bone health and how to implement a lifestyle ensuring bone health. During GE, teachers and patients shared evidence-based knowledge and personal experiences and preferences, respectively, leading to a two-way exchange of information and deliberation about recommendations. Though teachers and patients explored the implications of the decisions and shared their preferences, teachers stressed that the patients ultimately had to make the decision. Teachers therefore refrained from participating in the final step of the decision-making process. Attending GE has an impact on the patients' decision-making as it can initiate patient reflection and support decision-making.

  12. 75 FR 60807 - Notice of Availability of the Record of Decision for Vegetation Treatments Using Herbicides on...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-10-01

    ... Herbicides on Bureau of Land Management Lands in Oregon Final Environmental Impact Statement AGENCY: Bureau... prepared a Record of Decision (ROD) for Vegetation Treatments Using Herbicides on Bureau of Land Management... Treatments Using Herbicides on Bureau of Land Management Lands in Oregon, notice of which was published in...

  13. Decision-making capacity for treatment in psychiatric and medical in-patients: cross-sectional, comparative study†

    PubMed Central

    Owen, Gareth S.; Szmukler, George; Richardson, Genevra; David, Anthony S.; Raymont, Vanessa; Freyenhagen, Fabian; Martin, Wayne; Hotopf, Matthew

    2013-01-01

    Background Is the nature of decision-making capacity (DMC) for treatment significantly different in medical and psychiatric patients? Aims To compare the abilities relevant to DMC for treatment in medical and psychiatric patients who are able to communicate a treatment choice. Method A secondary analysis of two cross-sectional studies of consecutive admissions: 125 to a psychiatric hospital and 164 to a medical hospital. The MacArthur Competence Assessment Tool - Treatment and a clinical interview were used to assess decision-making abilities (understanding, appreciating and reasoning) and judgements of DMC. We limited analysis to patients able to express a choice about treatment and stratified the analysis by low and high understanding ability. Results Most people scoring low on understanding were judged to lack DMC and there was no difference by hospital (P = 0.14). In both hospitals there were patients who were able to understand yet lacked DMC (39% psychiatric v. 13% medical in-patients, P<0.001). Appreciation was a better ‘test’ of DMC in the psychiatric hospital (where psychotic and severe affective disorders predominated) (P<0.001), whereas reasoning was a better test of DMC in the medical hospital (where cognitive impairment was common) (P = 0.02). Conclusions Among those with good understanding, the appreciation ability had more salience to DMC for treatment in a psychiatric setting and the reasoning ability had more salience in a medical setting. PMID:23969482

  14. Decision tree analysis of treatment strategies for mild and moderate cases of clinical mastitis occurring in early lactation.

    PubMed

    Pinzón-Sánchez, C; Cabrera, V E; Ruegg, P L

    2011-04-01

    The objective of this study was to develop a decision tree to evaluate the economic impact of different durations of intramammary treatment for the first case of mild or moderate clinical mastitis (CM) occurring in early lactation with various scenarios of pathogen distributions and use of on-farm culture. The tree included 2 decision and 3 probability events. The first decision evaluated use of on-farm culture (OFC; 2 programs using OFC and 1 not using OFC) and the second decision evaluated treatment strategies (no intramammary antimicrobials or antimicrobials administered for 2, 5, or 8 d). The tree included probabilities for the distribution of etiologies (gram-positive, gram-negative, or no growth), bacteriological cure, and recurrence. The economic consequences of mastitis included costs of diagnosis and initial treatment, additional treatments, labor, discarded milk, milk production losses due to clinical and subclinical mastitis, culling, and transmission of infection to other cows (only for CM caused by Staphylococcus aureus). Pathogen-specific estimates for bacteriological cure and milk losses were used. The economically optimal path for several scenarios was determined by comparison of expected monetary values. For most scenarios, the optimal economic strategy was to treat CM caused by gram-positive pathogens for 2 d and to avoid antimicrobials for CM cases caused by gram-negative pathogens or when no pathogen was recovered. Use of extended intramammary antimicrobial therapy (5 or 8 d) resulted in the least expected monetary values. Copyright © 2011 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

  15. Shared decision-making in medical encounters regarding breast cancer treatment: the contribution of methodological triangulation.

    PubMed

    Durif-Bruckert, C; Roux, P; Morelle, M; Mignotte, H; Faure, C; Moumjid-Ferdjaoui, N

    2015-07-01

    The aim of this study on shared decision-making in the doctor-patient encounter about surgical treatment for early-stage breast cancer, conducted in a regional cancer centre in France, was to further the understanding of patient perceptions on shared decision-making. The study used methodological triangulation to collect data (both quantitative and qualitative) about patient preferences in the context of a clinical consultation in which surgeons followed a shared decision-making protocol. Data were analysed from a multi-disciplinary research perspective (social psychology and health economics). The triangulated data collection methods were questionnaires (n = 132), longitudinal interviews (n = 47) and observations of consultations (n = 26). Methodological triangulation revealed levels of divergence and complementarity between qualitative and quantitative results that suggest new perspectives on the three inter-related notions of decision-making, participation and information. Patients' responses revealed important differences between shared decision-making and participation per se. The authors note that subjecting patients to a normative behavioural model of shared decision-making in an era when paradigms of medical authority are shifting may undermine the patient's quest for what he or she believes is a more important right: a guarantee of the best care available. © 2014 John Wiley & Sons Ltd.

  16. Patient age and dentists’ decisions about occlusal caries treatment thresholds

    PubMed Central

    Kakudate, Naoki; Sumida, Futoshi; Matsumoto, Yuki; Yokoyama, Yoko; Gilbert, Gregg H; Gordan, Valeria V

    2014-01-01

    Objectives This study was performed to (1) quantify dentists’ treatment thresholds for occlusal primary caries; (2) determine if patient's age affects dentists’ decisions to surgically treat these carious lesions; (3) test the hypothesis that patients’, dentists’, and practices’ characteristics are significantly associated with surgical enamel intervention. Methods The study used a cross-sectional design consisting of a questionnaire survey in Japan. This study queried dentists working in outpatient dental practices who were affiliated with the Dental Practice-Based Research Network Japan (JDPBRN), which aims to allow dentists to investigate research questions and share experiences and expertise (n=282). Participants were asked whether they would surgically intervene in a series of cases depicting occlusal caries. Each case included a photograph of an occlusal surface displaying typical characteristics of caries penetration, and written descriptions of adult and pediatric patients at high caries risk. Results In a case of a carious lesion within inner enamel, the proportion of dentists who indicated surgical intervention was significantly higher in the adult patient (48%) when compared to the pediatric patient (34%) (p< 0.01). Logistic regression analysis showed that using a dental explorer for the diagnosis of primary occlusal caries, type of practice, practice busyness, and percentage of patients who self-pay were significantly associated with dentists’ decisions to intervene surgically into the inner enamel carious lesion. Conclusions These findings demonstrate that over one-third of participants chose to intervene surgically into inner enamel carious lesions, and patients’ age affects dentists’ decisions about when to intervene surgically (clinicaltrials.gov registration number NCT01680848). PMID:24809540

  17. [Forecast of costs of ecodependent cancer treatment for the development of management decisions].

    PubMed

    Krasovskiy, V O

    2014-01-01

    The methodical approach for probabilistic forecasting and differentiation of treatment of costs of ecodependent cancer cases has been elaborated. The modality is useful in the organization of medical aid to cancer patients, in developing management decisions for the reduction the occupational load on the population, as well as in solutions problems in compensation to the population economic and social loss from industrial plants.

  18. Notification Event Architecture for Traveler Screening: Predictive Traveler Screening Using Event Driven Business Process Management

    ERIC Educational Resources Information Center

    Lynch, John Kenneth

    2013-01-01

    Using an exploratory model of the 9/11 terrorists, this research investigates the linkages between Event Driven Business Process Management (edBPM) and decision making. Although the literature on the role of technology in efficient and effective decision making is extensive, research has yet to quantify the benefit of using edBPM to aid the…

  19. Shift in responsibilities in diabetes care: the Nurse-Driven Diabetes In-Hospital Treatment protocol (N-DIABIT).

    PubMed

    Manders, I G; Stoecklein, K; Lubach, C H C; Bijl-Oeldrich, J; Nanayakkara, P W B; Rauwerda, J A; Kramer, M H H; Eekhoff, E M W

    2016-06-01

    To investigate the feasibility, safety and efficacy of the Nurse-Driven Diabetes In-Hospital Treatment protocol (N-DIABIT), which consists of nurse-driven correctional therapy, in addition to physician-guided basal therapy, and is carried out by trained ward nurses. Data on 210 patients with diabetes consecutively admitted in the 5-month period after the introduction of N-DIABIT (intervention group) were compared with the retrospectively collected data on 200 consecutive patients with diabetes admitted in the 5-month period before N-DIABIT was introduced (control group). Additional per-protocol analyses were performed in patients in whom mean patient-based protocol adherence was ≥ 70% (intervention subgroup, n = 173 vs. control subgroup, n = 196). There was no difference between the intervention and the control group in mean blood glucose levels (8.9 ± 0.1 and 9.1 ± 0.2 mmol/l, respectively; P = 0.38), consecutive hyperglycaemic (blood glucose ≥ 10.0 mmol/l) episodes; P = 0.15), admission duration (P = 0.79), mean number of blood glucose measurements (P = 0.21) and incidence of severe hypoglycaemia (P = 0.29). Per-protocol analyses showed significant reductions in mean blood glucose levels and consecutive hypoglycaemia and hyperglycaemia in the intervention compared with the control group. Implementation of N-DIABIT by trained ward nurses in non-intensive care unit diabetes care is feasible, safe and non-inferior to physician-driven care alone. High protocol adherence was associated with improved glycaemic control. © 2015 Diabetes UK.

  20. The effect of ethnicity on different ways of expressing cardiovascular treatment benefits and patient decision-making.

    PubMed

    Raval, Manjri; Goodyear-Smith, Felicity; Wells, Susan

    2015-03-01

    The way information is presented to communicate risk and treatment benefit affects patients' understanding and perception of their risk and can influence their decisions. To assess the effect of ethnicity on patient preferences for different ways of expressing risk and treatment benefits. Using tailored questionnaires, we surveyed Ma¯ori , Pacific and Indian peoples of known CVD risk to assess format preferences encouraging them to take medication or assist their understanding of possible treatment benefits. Statistical analysis determined any association of ethnicity with patient preferences. Of the 376 participants, 50% identified as New Zealand (NZ) European; 15% Maori ; 25% Pacific and 10% Indian ethnicity. Patients preferred positive framing of risk (66%). Relative risk was the format reported as most encouraging to take medication and to understand risk, with natural frequencies least preferable, although Pacific people significantly preferred natural frequencies (p<0.0001) compared with other ethnic groups. The majority (55%) preferred pictures to numbers for explaining risk. Ma¯ori , Pacific and Indian participants significantly preferred 100-people chart formats over bar graphs compared with NZ Europeans/Others (p=0.002). Most (68%) preferred doctors to give their opinion on taking medication instead of explaining risks using numbers and/or pictures. Pacific and Indian peoples significantly preferred doctors to make decisions on treatment compared to NZ European/Other and Ma¯ori participants (p<0.0001). Ethnic differences in patient preferences for communication formats and decision-making should be considered when tailoring effective communication in primary care. However, individual preferences cannot be presumed and a combination of methods should routinely be used.

  1. Shared decision making: prostate cancer patients' appraisal of treatment alternatives and oncologists' eliciting and responding behavior, an explorative study.

    PubMed

    Pieterse, Arwen H; Henselmans, Inge; de Haes, Hanneke C J M; Koning, Caro C E; Geijsen, Elisabeth D; Smets, Ellen M A

    2011-12-01

    To assess clinicians' use of shared decision making (SDM) skills, enabling patient treatment evaluations (appraisals); and varieties of patient appraisals and clinicians' preceding and following utterances. Two coders rated videotaped initial visits of 25 early-stage prostate cancer patients to their radiation oncologist. SDM skills were assessed using the Decision Analysis System for Oncology (DAS-O); appraisals and clinicians' utterances were labeled using qualitative methodology. Clinicians offered a treatment choice to 10 patients. They informed 15/25 about pros and 20/25 about cons of options. Patients expressed 67 appraisals (median/visit=2; range, 0-12). Half of appraisals were favorable and one-fourth was unfavorable toward treatment options. One-fifth referred to explicit tradeoffs. One-third of appraisals followed clinician requests; 58% followed clinician information. Clinicians approved almost half of appraisals. They contested, ignored or highlighted a minority. Clinicians infrequently offered patients a choice or explored appraisals. Most appraisals supported rather than challenged treatment options. Clinicians most often legitimized appraisals, thereby helping patients to feel good about the decision. Exploring appraisals may help patients in forming more stable preferences, thus benefiting patients in the long run. Clinicians should request patient appraisals and ascertain whether these seem well-informed before making treatment recommendations. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

  2. Intelligent Model Management in a Forest Ecosystem Management Decision Support System

    Treesearch

    Donald Nute; Walter D. Potter; Frederick Maier; Jin Wang; Mark Twery; H. Michael Rauscher; Peter Knopp; Scott Thomasma; Mayukh Dass; Hajime Uchiyama

    2002-01-01

    Decision making for forest ecosystem management can include the use of a wide variety of modeling tools. These tools include vegetation growth models, wildlife models, silvicultural models, GIS, and visualization tools. NED-2 is a robust, intelligent, goal-driven decision support system that integrates tools in each of these categories. NED-2 uses a blackboard...

  3. BCR-ABL1 expression, RT-qPCR and treatment decisions in chronic myeloid leukaemia.

    PubMed

    Latham, Susan; Bartley, Paul A; Budgen, Bradley; Ross, David M; Hughes, Elizabeth; Branford, Susan; White, Deborah; Hughes, Timothy P; Morley, Alexander A

    2016-09-01

    RT-qPCR is used to quantify minimal residual disease (MRD) in chronic myeloid leukaemia (CML) in order to make decisions on treatment, but its results depend on the level of BCR-ABL1 expression as well as leukaemic cell number. The aims of the study were to quantify inter-individual differences in expression level, to determine the relationship between expression level and response to treatment, and to investigate the effect of expression level on interpretation of the RT-qPCR result. BCR-ABL1 expression was studied in 248 samples from 65 patients with CML by determining the difference between MRD quantified by RT-qPCR and DNA-qPCR. The results were analysed statistically and by simple indicative modelling. Inter-individual levels of expression approximated a normal distribution with an SD of 0.36 log. Expression at diagnosis correlated with expression during treatment. Response to treatment, as measured by the number of leukaemic cells after 3, 6 or 12 months of treatment, was not related to the level of expression. Indicative modelling suggested that interpretation of RT-qPCR results in relation to treatment guidelines could be affected by variation in expression when MRD was around 10% at 3 months and by both expression variation and Poisson variation when MRD was around or below the limit of detection of RT-qPCR. Variation between individuals in expression of BCR-ABL1 can materially affect interpretation of the RT-qPCR when this test is used to make decisions on treatment. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

  4. Behavioral Economic Insights into Physician Tobacco Treatment Decision-Making

    PubMed Central

    Evers-Casey, Sarah; Graden, Sarah; Schnoll, Robert

    2015-01-01

    Rationale: Physicians self-report high adherence rates for Ask and Advise behaviors of tobacco dependence treatment but are much less likely to engage in “next steps” consistent with sophisticated management of chronic illness. A variety of potential explanations have been offered, yet each lacks face validity in light of experience with other challenging medical conditions. Objective: Conduct a preliminary exploration of the behavioral economics of tobacco treatment decision-making in the face of uncertain outcomes, seeking evidence that behaviors may be explained within the framework of Prospect Theory. Methods: Four physician cohorts were polled regarding their impressions of the utility of tobacco use treatment and their estimations of “success” probabilities. Contingent valuation was estimated by asking respondents to make monetary tradeoffs relative to three common chronic conditions. Measurements and Main Results: Responses from all four cohorts showed a similar pattern of high utility of tobacco use treatment but low success probability when compared with the other chronic medical conditions. Following instructional methods aimed at controverting cognitive biases related to tobacco, this pattern was reversed, with success probabilities attaining higher valuation than for diabetes. Conclusions: Important presuppositions regarding the potential “success” of tobacco-related patient interactions are likely limiting physician engagement by favoring the most secure visit outcome despite the limited potential for health gains. Under these conditions, low engagement rates would be consistent with Prospect Theory predictions. Interventions aimed at counteracting the cognitive biases limiting estimations of success probabilities seem to effectively reverse this pattern and provide clues to improving the adoption of target clinical behaviors. PMID:25664676

  5. Behavioral economic insights into physician tobacco treatment decision-making.

    PubMed

    Leone, Frank T; Evers-Casey, Sarah; Graden, Sarah; Schnoll, Robert

    2015-03-01

    Physicians self-report high adherence rates for Ask and Advise behaviors of tobacco dependence treatment but are much less likely to engage in "next steps" consistent with sophisticated management of chronic illness. A variety of potential explanations have been offered, yet each lacks face validity in light of experience with other challenging medical conditions. Conduct a preliminary exploration of the behavioral economics of tobacco treatment decision-making in the face of uncertain outcomes, seeking evidence that behaviors may be explained within the framework of Prospect Theory. Four physician cohorts were polled regarding their impressions of the utility of tobacco use treatment and their estimations of "success" probabilities. Contingent valuation was estimated by asking respondents to make monetary tradeoffs relative to three common chronic conditions. Responses from all four cohorts showed a similar pattern of high utility of tobacco use treatment but low success probability when compared with the other chronic medical conditions. Following instructional methods aimed at controverting cognitive biases related to tobacco, this pattern was reversed, with success probabilities attaining higher valuation than for diabetes. Important presuppositions regarding the potential "success" of tobacco-related patient interactions are likely limiting physician engagement by favoring the most secure visit outcome despite the limited potential for health gains. Under these conditions, low engagement rates would be consistent with Prospect Theory predictions. Interventions aimed at counteracting the cognitive biases limiting estimations of success probabilities seem to effectively reverse this pattern and provide clues to improving the adoption of target clinical behaviors.

  6. Determining the Best Treatment for Coronal Angular Deformity of the Knee Joint in Growing Children: A Decision Analysis

    PubMed Central

    Sung, Ki Hyuk; Chung, Chin Youb; Lee, Kyoung Min; Lee, Seung Yeol; Choi, In Ho; Cho, Tae-Joon; Yoo, Won Joon; Park, Moon Seok

    2014-01-01

    This study aimed to determine the best treatment modality for coronal angular deformity of the knee joint in growing children using decision analysis. A decision tree was created to evaluate 3 treatment modalities for coronal angular deformity in growing children: temporary hemiepiphysiodesis using staples, percutaneous screws, or a tension band plate. A decision analysis model was constructed containing the final outcome score, probability of metal failure, and incomplete correction of deformity. The final outcome was defined as health-related quality of life and was used as a utility in the decision tree. The probabilities associated with each case were obtained by literature review, and health-related quality of life was evaluated by a questionnaire completed by 25 pediatric orthopedic experts. Our decision analysis model favored temporary hemiepiphysiodesis using a tension band plate over temporary hemiepiphysiodesis using percutaneous screws or stapling, with utilities of 0.969, 0.957, and 0.962, respectively. One-way sensitivity analysis showed that hemiepiphysiodesis using a tension band plate was better than temporary hemiepiphysiodesis using percutaneous screws, when the overall complication rate of hemiepiphysiodesis using a tension band plate was lower than 15.7%. Two-way sensitivity analysis showed that hemiepiphysiodesis using a tension band plate was more beneficial than temporary hemiepiphysiodesis using percutaneous screws. PMID:25276801

  7. Assigning Treatment to HCC Patients for Transplantation: Utility of a New Decision-Making Tool.

    PubMed

    Shah, Najmul Hassan; Dar, Faisal Saud; Bhatti, Abu Bakar Hafeez; Rana, Atif; Salih, Mohammad

    2016-10-28

    BACKGROUND The Barcelona clinic liver cancer (BCLC) staging system is considered the standard of care for hepatocellular carcinoma (HCC) management. It has various limitations, including lack of second-line treatment options and combination therapy. We prospectively collected data on our HCC patients based on a new decision-making tool (NDT). The objective of this study was to determine the applicability of this tool and compare it with BCLC for treatment allocation, in particular with respect to liver transplantation. MATERIAL AND METHODS We retrospectively reviewed HCC patients who were managed based on an NDT that was developed in 2012. All patients whose treatment decision was based on this tool between 2012 and 2015 were included. Comparison was made with BCLC. Survival was compared for patients who underwent liver transplantation. RESULTS Based on the NDT, 406 (40.6%) patients were eligible for curative treatment versus only 22 (2.2%) patients based on BCLC. A total of 58 (5.8%) patients underwent liver transplant based on the NDT, while only 2 (0.2%) were transplantable based on BCLC. Estimated 3-year survival for transplanted patients based on the NDT was 73%. There were 41 (4.1%) stage C and 15 (1.5%) stage D BCLC patients who received transplant based on the NDT. Estimated 3-year survival for stage A, C, and D BCLC patients who received transplantation was 100%,72%, and 67%, respectively (P=0.6). CONCLUSIONS The NDT correctly identified a group of HCC patients for liver transplantation who would otherwise have received palliative treatment based on the BCLC algorithm.

  8. An RCT Investigating Patient-Driven Versus Physician-Driven Titration of BIAsp 30 in Patients with Type 2 Diabetes Uncontrolled Using NPH Insulin.

    PubMed

    Chraibi, Abdelmjid; Al-Herz, Shoorook; Nguyen, Bich Dao; Soeatmadji, Djoko W; Shinde, Anil; Lakshmivenkataraman, Balasubramanian; Assaad-Khalil, Samir H

    2017-08-01

    The aim of this study was to confirm the efficacy of patient-driven titration of BIAsp 30 in terms of glycemic control, by comparing it to physician-driven titration of BIAsp 30, in patients with type 2 diabetes in North Africa, the Middle East, and Asia. A 20-week, open-label, randomized, two-armed, parallel-group, multicenter study in Egypt, Indonesia, Morocco, Saudi Arabia, and Vietnam. Patients (n = 155) with type 2 diabetes inadequately controlled using neutral protamine Hagedorn (NPH) insulin were randomized to either patient-driven or physician-driven BIAsp 30 titration. The noninferiority of patient-driven compared to physician-driven titration with respect to the reduction in HbA1c was confirmed. The estimated mean change in HbA1c from baseline to week 20 was -1.27% in the patient-driven arm and -1.04% in the physician-driven arm, with an estimated treatment difference of -0.23% (95% confidence interval: -0.54; 0.08). After 20 weeks of treatment, the proportions of patients achieving the target of HbA1c <7.5% were similar between titration arms; the proportions of patients achieving the target of ≤6.5% were also similar. Both titration algorithms were well tolerated, and hypoglycemic episode rates were similar in both arms. Patient-driven titration of BIAsp 30 can be as effective and safe as physician-driven titration in non-Western populations. Overall, the switch from NPH insulin to BIAsp 30 was well tolerated in both titration arms and led to improved glycemic control. A limitation of the study was the relatively small number of patients recruited in each country. ClinicalTrials.gov NCT01589653. Novo Nordisk A/S, Denmark.

  9. Cancer-related information needs and treatment decision-making experiences of people with dementia in England: a multiple perspective qualitative study

    PubMed Central

    Farrell, Carole; Keady, John; Swarbrick, Caroline; Burgess, Lorraine; Grande, Gunn; Bellhouse, Sarah; Yorke, Janelle

    2018-01-01

    Objectives Little is known about the cancer experience and support needs of people with dementia. In particular, no evidence currently exists to demonstrate the likely complex decision-making processes for this patient group and the oncology healthcare professionals (HCP) involved in their care. The aim of this study was to explore the cancer-related information needs and decision-making experiences of patients with cancer and comorbid dementia, their informal caregivers and oncology HCPs. Design Cross-sectional qualitative study. Semistructured interviews were conducted face to face with participants. Interviews were audio recorded and transcribed prior to thematic analysis. Setting Patients with a diagnosis of cancer and dementia, their informal caregivers and oncology HCPs involved in their care, all recruited from a regional treatment cancer centre. Participants Purposeful sample of 10 patients with a diagnosis of cancer–dementia, informal caregivers (n=9) and oncology HCPs (n=12). Results Four themes were identified: (1) leading to the initial consultation—HCPs require more detailed information on the functional impact of dementia and how it may influence cancer treatment options prior to meeting the patient; (2) communicating clinically relevant information—informal caregivers are relied on to provide patient information, advocate for the patient and support decision-making; (3) adjustments to cancer care—patients with dementia get through treatment with the help of their family and (4) following completion of cancer treatment—there are continuing information needs. Oncology HCPs discussed their need to consult specialists in dementia care to support treatment decision-making. Conclusions Although patients with cancer–dementia are involved in their treatment decision-making, informal caregivers are generally crucial in supporting this process. Individual patient needs and circumstances related to their cancer must be considered in the context of

  10. Development of a real-time clinical decision support system upon the web mvc-based architecture for prostate cancer treatment

    PubMed Central

    2011-01-01

    Background A real-time clinical decision support system (RTCDSS) with interactive diagrams enables clinicians to instantly and efficiently track patients' clinical records (PCRs) and improve their quality of clinical care. We propose a RTCDSS to process online clinical informatics from multiple databases for clinical decision making in the treatment of prostate cancer based on Web Model-View-Controller (MVC) architecture, by which the system can easily be adapted to different diseases and applications. Methods We designed a framework upon the Web MVC-based architecture in which the reusable and extractable models can be conveniently adapted to other hospital information systems and which allows for efficient database integration. Then, we determined the clinical variables of the prostate cancer treatment based on participating clinicians' opinions and developed a computational model to determine the pretreatment parameters. Furthermore, the components of the RTCDSS integrated PCRs and decision factors for real-time analysis to provide evidence-based diagrams upon the clinician-oriented interface for visualization of treatment guidance and health risk assessment. Results The resulting system can improve quality of clinical treatment by allowing clinicians to concurrently analyze and evaluate the clinical markers of prostate cancer patients with instantaneous clinical data and evidence-based diagrams which can automatically identify pretreatment parameters. Moreover, the proposed RTCDSS can aid interactions between patients and clinicians. Conclusions Our proposed framework supports online clinical informatics, evaluates treatment risks, offers interactive guidance, and provides real-time reference for decision making in the treatment of prostate cancer. The developed clinician-oriented interface can assist clinicians in conveniently presenting evidence-based information to patients and can be readily adapted to an existing hospital information system and be easily

  11. A qualitative exploration of treatment decision-making role preference in adult asthma patients.

    PubMed

    Caress, Ann-Louise; Luker, Karen; Woodcock, Ashley; Beaver, Kinta

    2002-09-01

    To explore preferred treatment decision-making roles, and rationales for role preference, and to identify perceived facilitators to and barriers from attaining preferred role. Qualitative design. One secondary care and four primary care sites in North-west England. Purposive sample of 32 adult asthma patients with varied socio-economic backgrounds and disease severity. Tape-recorded focused-conversation style interviews. Interview topic guide derived from the literature. Sort cards employed to provide the focus for exploration of role preferences. Active (n = 7), collaborative (n = 11) and passive (n = 14) decisional role preferences were identified. Respondents cited level of knowledge; trust; duration of condition; severity of condition at the decisional juncture; lifelong nature of asthma; a perception that 'it is my body'; characteristics of the individual and their response to health professionals as influencing role preference. Perceived facilitators and barriers to participation included condition-related knowledge, practical issues (e.g. lack of time during consultation) and clinicians' interpersonal skills. Most respondents wished to contribute to or feel involved in treatment decision-making, but not necessarily to control it. Some hindrances to participation would be amenable to intervention. The quality of the provider-patient relationship is central to facilitating participation.

  12. Empirically and Clinically Useful Decision Making in Psychotherapy: Differential Predictions with Treatment Response Models

    ERIC Educational Resources Information Center

    Lutz, Wolfgang; Saunders, Stephen M.; Leon, Scott C.; Martinovich, Zoran; Kosfelder, Joachim; Schulte, Dietmar; Grawe, Klaus; Tholen, Sven

    2006-01-01

    In the delivery of clinical services, outcomes monitoring (i.e., repeated assessments of a patient's response to treatment) can be used to support clinical decision making (i.e., recurrent revisions of outcome expectations on the basis of that response). Outcomes monitoring can be particularly useful in the context of established practice research…

  13. An Integrated Model for Identifying Linkages Between the Management of Fuel Treatments, Fire and Ecosystem Services

    NASA Astrophysics Data System (ADS)

    Bart, R. R.; Anderson, S.; Moritz, M.; Plantinga, A.; Tague, C.

    2015-12-01

    Vegetation fuel treatments (e.g. thinning, prescribed burning) are a frequent tool for managing fire-prone landscapes. However, predicting how fuel treatments may affect future wildfire risk and associated ecosystem services, such as forest water availability and streamflow, remains a challenge. This challenge is in part due to the large range of conditions under which fuel treatments may be implemented, as response is likely to vary with species type, rates of vegetation regrowth, meteorological conditions and physiographic properties of the treated site. It is also due to insufficient understanding of how social factors such as political pressure, public demands and economic constraints affect fuel management decisions. To examine the feedbacks between ecological and social dimensions of fuel treatments, we present an integrated model that links a biophysical model that simulates vegetation and hydrology (RHESSys), a fire spread model (WMFire) and an empirical fuel treatment model that accounts for agency decision-making. We use this model to investigate how management decisions affect landscape fuel loads, which in turn affect fire severity and ecosystem services, which feedback to management decisions on fuel treatments. We hypothesize that this latter effect will be driven by salience theory, which predicts that fuel treatments are more likely to occur following major wildfire events. The integrated model provides a flexible framework for answering novel questions about fuel treatments that span social and ecological domains, areas that have previously been treated separately.

  14. Assessing the Value of New Treatments for Hepatitis C: Are International Decision Makers Getting this Right?

    PubMed

    Woods, Beth; Faria, Rita; Griffin, Susan

    2016-05-01

    Health systems worldwide are facing difficult choices about the use of a series of highly effective but costly new treatments for hepatitis C. In this paper we discuss how the National Institute for Health and Care Excellence in England and Wales, the Common Drug Review in Canada and the Pharmaceutical Benefits Advisory Committee (PBAC) in Australia have approached the appraisal of these drugs. We argue that with the exception of the PBAC, assessments of the new drugs have not adequately accounted for their large financial burden. Given the potential health system impact of reimbursing these drugs, the use of lower cost-effectiveness thresholds should be considered. None of the decision-making processes included a comparison of the full range of treatment pathways. In particular, comparisons of using the new drugs as first- versus second-line drugs were omitted from all appraisals, as were comparisons with delayed treatment strategies whereby treatment is withheld until more severe disease stages. Omission of comparators leads to inaccurate estimates of cost effectiveness and potentially sub-optimal decision making. Lessons learned from these appraisals should be considered in future appraisals, particularly the upcoming assessments of the 'blockbuster' PCSK9 inhibitors for hypercholesterolaemia.

  15. Managing psychosocial issues faced by young women with breast cancer at the time of diagnosis and during active treatment.

    PubMed

    Fernandes-Taylor, Sara; Adesoye, Taiwo; Bloom, Joan R

    2015-09-01

    This review examines recent literature on the psychosocial needs of and interventions for young women. We focus on the active treatment period given the toxicity of treatment, the incidence of anxiety, and depressive symptoms in these women during treatment. This review summarizes research relevant to addressing their social and emotional concerns. Young women undergoing treatment for breast cancer remain understudied despite unique needs. Psychoeducational interventions help to relieve symptoms and emotional distress during treatment, but effects do not appear to persist over the longer term. In the clinical context, the performance of prognostic-risk prediction models in this population is poor. Surgical decision-making is often driven by fear of recurrence and body image rather than prognosis, and decision aids may help young women to synthesize information to preserve their role in the treatment process. First, shared decision-making, second, balancing body image, fear of recurrence, and recommended treatment, and third, palliative care for metastasis are essential research priorities for the clinical setting. In the larger social context, unique family/partner dynamics as well as financial and insurance concerns warrant particular attention in this population.

  16. A decision-supported outpatient practice system.

    PubMed Central

    Barrows, R. C.; Allen, B. A.; Smith, K. C.; Arni, V. V.; Sherman, E.

    1996-01-01

    We describe a Decision-supported Outpatient Practice (DOP) system developed and now in use at the Columbia-Presbyterian Medical Center. DOP is an automated ambulatory medical record system that integrates in-patient and ambulatory care data, and incorporates active and passive decision support mechanisms with a view towards improving the quality of primary care. Active decision support occurs in the form of event-driven reminders created within a remote clinical information system with its central data repository and decision support system (DSS). Novel features of DOP include patient specific health maintenance task lists calculated by the remote DSS. uses of a semantically structured controlled medical vocabulary to support clinical results review and provider data entry, and exploitation of an underlying ambulatory data model that provides for an explicit record of evolution of insight regarding patient management. Benefits, challenges, and plans are discussed. PMID:8947774

  17. What quality-of-life issues do women with ductal carcinoma in situ (DCIS) consider important when making treatment decisions?

    PubMed

    Mercieca-Bebber, Rebecca; King, Madeleine T; Boxer, Miriam M; Spillane, Andrew; Winters, Zoë E; Butow, Phyllis N; McPherson, Joan; Rutherford, Claudia

    2017-09-01

    To explore quality-of-life (QOL) issues considered important when deciding on treatment for ductal carcinoma in situ (DCIS). Breast Cancer Network of Australia members diagnosed with DCIS in the past 5 years (self-identified) participated in an online survey (Sep-Nov 2015). From a list of 74 QOL issues, participants selected all issues they experienced during DCIS diagnosis, treatment or recovery, then the issues they felt important to making a DCIS treatment decision, and completed the Health Literacy Questionnaire (HLQ). Associations between QOL issues and self-reported treatment received were assessed with χ 2 tests. The primary analysis included 38 participants treated with breast-conserving surgery (n = 15), mastectomy (n = 23), and/or radiotherapy (n = 14). Fatigue-related symptoms (82%) and "fear of progression" (50%) were the most frequently-experienced issues. When deciding on DCIS treatment, the most important consideration was "fear of progression" (50%). A higher proportion of mastectomy (compared to non-mastectomy) patients considered "difficultly looking at yourself naked" (p = 0.03). Radiotherapy (compared to non-radiotherapy) patients were more likely to consider "feeling unwell" important (p = 0.006). Results were similar in a sensitivity analysis involving all 101 respondents (i.e., including 63 respondents who reported receiving chemotherapy, endocrine therapy, and/or Herceptin, suggesting that they may have been treated for invasive breast cancer). Health literacy was high across all nine HLQ scales. Fear of progression is a key consideration in DCIS treatment decision making for women with high health literacy. QOL treatment considerations differed by treatments received. Women diagnosed with DCIS may benefit from evidence about QOL to inform treatment decision making.

  18. National fuel-treatment budgeting in US federal agencies: capturing opportunities for transparent decision-making

    Treesearch

    Keith M. Reynolds; Paul F. Hessburg; Robert E. Keane; James P. Menakis

    2009-01-01

    The Ecosystem Management Decision Support (EMDS) system has been used by the US Department of Agriculture, Forest Service and Bureaus of the Department of the Interior since 2006 to evaluate wildfire potential across all administrative units in the continental US, and to establish priorities for allocating fuel-treatment budgets. This article discusses an EMDS fuels-...

  19. Comprehensive CT Evaluation in Acute Ischemic Stroke: Impact on Diagnosis and Treatment Decisions

    PubMed Central

    Löve, Askell; Siemund, Roger; Andsberg, Gunnar; Cronqvist, Mats; Holtås, Stig; Björkman-Burtscher, Isabella

    2011-01-01

    Background. With modern CT imaging a comprehensive overview of cerebral macro- and microcirculation can be obtained within minutes in acute ischemic stroke. This opens for patient stratification and individualized treatment. Methods. Four patients with acute ischemic stroke of different aetiologies and/or treatments were chosen for illustration of the comprehensive CT protocol and its value in subsequent treatment decisions. The patients were clinically evaluated according to the NIHSS-scale, examined with the comprehensive CT protocol including both CT angiography and CT perfusion, and followed up by MRI. Results. The comprehensive CT examination protocol increased the examination time but did not delay treatment initiation. In some cases CT angiography revealed the cause of stroke while CT perfusion located and graded the perfusion defect with reasonable accuracy, confirmed by follow-up MR-diffusion. In the presented cases findings of the comprehensive CT examination influenced the treatment strategy. Conclusions. The comprehensive CT examination is a fast and safe method allowing accurate diagnosis and making way for individualized treatment in acute ischemic stroke. PMID:21603175

  20. Circulating tumor DNA for triple-negative breast cancer diagnosis and treatment decisions.

    PubMed

    Saliou, Adrien; Bidard, François-Clément; Lantz, Olivier; Stern, Marc-Henri; Vincent-Salomon, Anne; Proudhon, Charlotte; Pierga, Jean-Yves

    2016-01-01

    Triple-negative breast cancer (TNBC) is a highly aggressive disease characterized by a high number of relapses and poor overall survival. The heterogeneity of the disease and the limited treatment options compared to other breast cancer subtypes mainly explain these clinical outcomes. New biomarkers are urgently needed to improve the management of TNBC. Circulating tumor DNA, identified by tumor-related molecular alterations, could be used in the context of non-invasive "liquid biopsy" and help in TNBC diagnosis and treatment decisions. In this review, we discuss the key issues related to the potential of circulating tumor DNA to improve the management of this disease and the future steps to overcome before its implementation into clinical routine within the next 5 years.

  1. Decisions and desire.

    PubMed

    Morse, Gardiner

    2006-01-01

    When we make decisions, we're not always in charge. One moment we hotheadedly let our emotions get the better of us; the next, we're paralyzed by uncertainty. Then we'll pull a brilliant decision out of thin air--and wonder how we did it. Though we may have no idea how decision making happens, neuroscientists peering deep into our brains are beginning to get the picture. What they're finding may not be what you want to hear, but it's worth listening. We have dog brains, basically, with human cortexes stuck on top. By watching the brain in action as it deliberates and decides, neuroscientists are finding that not a second goes by that our animal brains aren't conferring with our modern cortexes to influence their choices. Scientists have discovered, for example, that the "reward" circuits in the brain that activate in response to cocaine, chocolate, sex, and music also find pleasure in the mere anticipation of making money--or getting revenge. And the "aversion" circuits that react to the threat of physical pain also respond with disgust when we feel cheated by a partner. In this article, HBR senior editor Gardiner Morse describes the experiments that illuminate the aggressive participation of our emotion-driven animal brains in decision making. This research also shows that our emotional brains needn't always operate beneath our radar. While our dog brains sometimes hijack our higher cognitive functions to drive bad, or at least illogical, decisions, they play an important part in rational decision making as well. The more we understand about how we make decisions, the better we can manage them.

  2. Value-driven ERM: making ERM an engine for simultaneous value creation and value protection.

    PubMed

    Celona, John; Driver, Jeffrey; Hall, Edward

    2011-01-01

    Enterprise risk management (ERM) began as an effort to integrate the historically disparate silos of risk management in organizations. More recently, as recognition has grown of the need to cover the upside risks in value creation (financial and otherwise), organizations and practitioners have been searching for the means to do this. Existing tools such as heat maps and risk registers are not adequate for this task. Instead, a conceptually new value-driven framework is needed to realize the promise of enterprise-wide coverage of all risks, for both value protection and value creation. The methodology of decision analysis provides the means of capturing systemic, correlated, and value-creation risks on the same basis as value protection risks and has been integrated into the value-driven approach to ERM described in this article. Stanford Hospital and Clinics Risk Consulting and Strategic Decisions Group have been working to apply this value-driven ERM at Stanford University Medical Center. © 2011 American Society for Healthcare Risk Management of the American Hospital Association.

  3. Decision curve analysis for assessing the usefulness of tests for making decisions to treat: an application to tests for prodromal psychosis.

    PubMed

    Pulleyblank, Ryan; Chuma, Jefter; Gilbody, Simon M; Thompson, Carl

    2013-09-01

    For a test to be considered useful for making treatment decisions, it is necessary that making treatment decisions based on the results of the test be a preferable strategy to making treatment decisions without the test. Decision curve analysis is a framework for assessing when a test would be expected to be useful, which integrates evidence of a test's performance characteristics (sensitivity and specificity), condition prevalence among at-risk patients, and patient preferences for treatment. We describe decision curve analysis generally and illustrate its potential through an application to tests for prodromal psychosis. Clinical psychosis is often preceded by a prodromal phase, but not all those with prodromal symptoms proceed to develop full psychosis. Patients identified as at risk for developing psychosis may be considered for proactive treatment to mitigate development of clinically defined psychosis. Tests exist to help identify those at-risk patients most likely to develop psychosis, but it is uncertain when these tests would be considered useful for making proactive treatment decisions. We apply decision curve analysis to results from a systematic review of studies investigating clinical tests for predicting the development of psychosis in at-risk populations, and present resulting decision curves that illustrate when the tests may be expected to be useful for making proactive treatment decisions.

  4. Shared Decision Making in Cancer Care

    ERIC Educational Resources Information Center

    Butow, Phyllis; Tattersall, Martin

    2005-01-01

    Cancer treatment outcomes have improved over the past 20 years, but treatment decision making in this context remains complex. There are often a number of reasonable treatment alternatives, including no treatment in some circumstances. Patients and doctors often have to weigh up uncertain benefits against uncertain costs. Shared decision making…

  5. Review of the literature on cultural competence and end-of-life treatment decisions: the role of the hospitalist.

    PubMed

    Mitchell, Bruce L; Mitchell, Leauna C

    2009-09-01

    To determine whether any associations exist between cultural (racial/ethnic, spiritual/religious) competence and end-of-life treatment decisions in hospitalized patients and the potential impact of those associations on hospitalists' provision of care. MEDLINE, PubMed, Embase, Psychlnfo, and CINAHL databases were searched using the following search terms: cultural competence, race, ethnicity, minority, African American, Hispanic, end of life, palliative care, advanced care planning, inpatient, religion, spirituality, faith, hospitalist, and hospice. We identified studies in which spirituality/religion or race/ethnicity was used as a variable to study their potential impact on end-of-life treatment decisions in hospitalized patients. In only 13 studies was spirituality/religion or race/ ethnicity used to study its effect on end-of-life decisions in hospitalized patients. African American patients tended to prefer the use of life-sustaining treatments at the end of life, and race/ethnicity did not appear to affect decisions to withhold or withdraw certain types of life-sustaining technology. Specific spiritual needs were identified both within and outside organized religions when members of those religions were hospitalized at the end of life. End-of-life care may present unique challenges and opportunities in culturally discordant hospitalist-patient relationships. Culturally competent health care in an increasingly diverse population requires awareness of the importance of culture, particularly spirituality/religion and race/ethnicity, in the care of hospitalized patients at the end of life.

  6. Validation workflow for a clinical Bayesian network model in multidisciplinary decision making in head and neck oncology treatment.

    PubMed

    Cypko, Mario A; Stoehr, Matthaeus; Kozniewski, Marcin; Druzdzel, Marek J; Dietz, Andreas; Berliner, Leonard; Lemke, Heinz U

    2017-11-01

    Oncological treatment is being increasingly complex, and therefore, decision making in multidisciplinary teams is becoming the key activity in the clinical pathways. The increased complexity is related to the number and variability of possible treatment decisions that may be relevant to a patient. In this paper, we describe validation of a multidisciplinary cancer treatment decision in the clinical domain of head and neck oncology. Probabilistic graphical models and corresponding inference algorithms, in the form of Bayesian networks, can support complex decision-making processes by providing a mathematically reproducible and transparent advice. The quality of BN-based advice depends on the quality of the model. Therefore, it is vital to validate the model before it is applied in practice. For an example BN subnetwork of laryngeal cancer with 303 variables, we evaluated 66 patient records. To validate the model on this dataset, a validation workflow was applied in combination with quantitative and qualitative analyses. In the subsequent analyses, we observed four sources of imprecise predictions: incorrect data, incomplete patient data, outvoting relevant observations, and incorrect model. Finally, the four problems were solved by modifying the data and the model. The presented validation effort is related to the model complexity. For simpler models, the validation workflow is the same, although it may require fewer validation methods. The validation success is related to the model's well-founded knowledge base. The remaining laryngeal cancer model may disclose additional sources of imprecise predictions.

  7. Decision-theoretic designs for a series of trials with correlated treatment effects using the Sarmanov multivariate beta-binomial distribution.

    PubMed

    Hee, Siew Wan; Parsons, Nicholas; Stallard, Nigel

    2018-03-01

    The motivation for the work in this article is the setting in which a number of treatments are available for evaluation in phase II clinical trials and where it may be infeasible to try them concurrently because the intended population is small. This paper introduces an extension of previous work on decision-theoretic designs for a series of phase II trials. The program encompasses a series of sequential phase II trials with interim decision making and a single two-arm phase III trial. The design is based on a hybrid approach where the final analysis of the phase III data is based on a classical frequentist hypothesis test, whereas the trials are designed using a Bayesian decision-theoretic approach in which the unknown treatment effect is assumed to follow a known prior distribution. In addition, as treatments are intended for the same population it is not unrealistic to consider treatment effects to be correlated. Thus, the prior distribution will reflect this. Data from a randomized trial of severe arthritis of the hip are used to test the application of the design. We show that the design on average requires fewer patients in phase II than when the correlation is ignored. Correspondingly, the time required to recommend an efficacious treatment for phase III is quicker. © 2017 The Author. Biometrical Journal published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  8. Wind-Driven Global Evolution of Protoplanetary Disks

    NASA Astrophysics Data System (ADS)

    Bai, Xue-Ning

    It has been realized in the recent years that magnetized disk winds disk- likely play a decisive role in the global evolution of protoplanetary disks protoplanetary evolution (PPDs). Motivated by recent local simulations local , we first describe a global magnetized disk wind model, from which wind-driven accretion rate -rate wind-driven and wind mass loss rate can be reliably estimated. Both rates are shown to strongly depend on the amount of magnetic flux magnetic threading the disk. Wind kinematics is also affected by thermodynamics in the wind zone (particularly far UV heating/ionization), and the mass loss process loss- can be better termed as "magneto-photoevaporation." We then construct a framework of PPD global evolution global that incorporates wind-driven and viscously driven accretion viscously-driven as well as wind mass loss. For typical PPD accretion rates, the required field strength would lead to wind mass loss rate at least comparable to disk accretion rate, and mass loss is most significant in the outer disk (beyond ˜ 10 AU). Finally, we discuss the transport of magnetic flux in PPDs, which largely governs the long-term evolution long-term of PPDs.

  9. Data-driven medicinal chemistry in the era of big data.

    PubMed

    Lusher, Scott J; McGuire, Ross; van Schaik, René C; Nicholson, C David; de Vlieg, Jacob

    2014-07-01

    Science, and the way we undertake research, is changing. The increasing rate of data generation across all scientific disciplines is providing incredible opportunities for data-driven research, with the potential to transform our current practices. The exploitation of so-called 'big data' will enable us to undertake research projects never previously possible but should also stimulate a re-evaluation of all our data practices. Data-driven medicinal chemistry approaches have the potential to improve decision making in drug discovery projects, providing that all researchers embrace the role of 'data scientist' and uncover the meaningful relationships and patterns in available data. Copyright © 2013 Elsevier Ltd. All rights reserved.

  10. Family involvement in cancer treatment decision-making: A qualitative study of patient, family, and clinician attitudes and experiences.

    PubMed

    Laidsaar-Powell, Rebekah; Butow, Phyllis; Bu, Stella; Charles, Cathy; Gafni, Amiram; Fisher, Alana; Juraskova, Ilona

    2016-07-01

    Little is known about how family are involved in cancer treatment decision-making. This study aimed to qualitatively explore Australian oncology clinicians', patients', and family members' attitudes towards, and experiences of, family involvement in decision-making. Semi-structured interviews were conducted with 30 cancer patients, 33 family members, 10 oncology nurses and 11 oncologists. Framework analysis methods were used. Three main themes were uncovered: (i) how family are involved in the decision-making process: specific behaviours of family across 5 (extended) decision-making stages; (ii) attitudes towards family involvement in the decision-making process: balancing patient authority with the rights of the family; and (iii) factors influencing family involvement: patient, family, cultural, relationship, and decision. This study highlighted many specific behaviours of family throughout the decision-making process, the complex participant attitudes toward retaining patient authority whilst including the family, and insight into influencing factors. These findings will inform a conceptual framework describing family involvement in decision-making. Clinicians could ascertain participant preferences and remain open to the varying forms of family involvement in decision-making. Given the important role of family in the decision-making process, family inclusive consultation strategies are needed. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  11. Effects of viewing an evidence-based video decision aid on patients' treatment preferences for spine surgery.

    PubMed

    Lurie, Jon D; Spratt, Kevin F; Blood, Emily A; Tosteson, Tor D; Tosteson, Anna N A; Weinstein, James N

    2011-08-15

    Secondary analysis within a large clinical trial. To evaluate the changes in treatment preference before and after watching a video decision aid as part of an informed consent process. A randomized trial with a similar decision aid in herniated disc patients had shown decreased rate of surgery in the video group, but the effect of the video on expressed preferences is not known. Subjects enrolling in the Spine Patient Outcomes Research Trial (SPORT) with intervertebral disc herniation, spinal stenosis, or degenerative spondylolisthesis at 13 multidisciplinary spine centers across the United States were given an evidence-based videotape decision aid viewed prior to enrollment as part of informed consent. Of the 2505 patients, 86% (n = 2151) watched the video and 14% (n = 354) did not. Watchers shifted their preference more often than nonwatchers (37.9% vs. 20.8%, P < 0.0001) and more often demonstrated a strengthened preference (26.2% vs. 11.1%, P < 0.0001). Among the 806 patients whose preference shifted after watching the video, 55% shifted toward surgery (P = 0.003). Among the 617 who started with no preference, after the video 27% preferred nonoperative care, 22% preferred surgery, and 51% remained uncertain. After watching the evidence-based patient decision aid (video) used in SPORT, patients with specific lumbar spine disorders formed and/or strengthened their treatment preferences in a balanced way that did not appear biased toward or away from surgery.

  12. A new plan-scoring method using normal tissue complication probability for personalized treatment plan decisions in prostate cancer

    NASA Astrophysics Data System (ADS)

    Kim, Kwang Hyeon; Lee, Suk; Shim, Jang Bo; Yang, Dae Sik; Yoon, Won Sup; Park, Young Je; Kim, Chul Yong; Cao, Yuan Jie; Chang, Kyung Hwan

    2018-01-01

    The aim of this study was to derive a new plan-scoring index using normal tissue complication probabilities to verify different plans in the selection of personalized treatment. Plans for 12 patients treated with tomotherapy were used to compare scoring for ranking. Dosimetric and biological indexes were analyzed for the plans for a clearly distinguishable group ( n = 7) and a similar group ( n = 12), using treatment plan verification software that we developed. The quality factor ( QF) of our support software for treatment decisions was consistent with the final treatment plan for the clearly distinguishable group (average QF = 1.202, 100% match rate, n = 7) and the similar group (average QF = 1.058, 33% match rate, n = 12). Therefore, we propose a normal tissue complication probability (NTCP) based on the plan scoring index for verification of different plans for personalized treatment-plan selection. Scoring using the new QF showed a 100% match rate (average NTCP QF = 1.0420). The NTCP-based new QF scoring method was adequate for obtaining biological verification quality and organ risk saving using the treatment-planning decision-support software we developed for prostate cancer.

  13. Age differences in treatment decision making for breast cancer in a sample of healthy women: the effects of body image and risk framing.

    PubMed

    Romanek, Kathleen M; McCaul, Kevin D; Sandgren, Ann K

    2005-07-01

    To examine the effects of age, body image, and risk framing on treatment decision making for breast cancer using a healthy population. An experimental 2 (younger women, older women) X 2 (survival, mortality frame) between-groups design. Midwestern university. Two groups of healthy women: 56 women ages 18-24 from undergraduate psychology courses and 60 women ages 35-60 from the university community. Healthy women imagined that they had been diagnosed with breast cancer and received information regarding lumpectomy versus mastectomy and recurrence rates. Participants indicated whether they would choose lumpectomy or mastectomy and why. Age, framing condition, treatment choice, body image, and reasons for treatment decision. The difference in treatment selection between younger and older women was mediated by concern for appearance. No main effect for risk framing was found; however, older women were somewhat less likely to select lumpectomy when given a mortality frame. Age, mediated by body image, influences treatment selection of lumpectomy versus mastectomy. Framing has no direct effect on treatment decisions, but younger and older women may be affected by risk information differently. Nurses should provide women who recently have been diagnosed with breast cancer with age-appropriate information regarding treatment alternatives to ensure women's active participation in the decision-making process. Women who have different levels of investment in body image also may have different concerns about treatment, and healthcare professionals should be alert to and empathetic of such concerns.

  14. Concise evaluation of decision aids.

    PubMed

    Stalmeier, Peep F M; Roosmalen, Marielle S

    2009-01-01

    Decision aids purport to help patients make treatment related choices. Several instruments exist to evaluate decision aids. Our aim is to compare the responsiveness of several instruments. Two different decision aids were randomized in patients at high risk for breast and ovarian cancer. Treatment choices were between prophylactic surgery and screening. Effect sizes were calculated to compare the responsiveness of the measures. One decision aid was randomized in 390 women, the other in 91 ensuing mutation carriers. Three factors were identified related to Information, Well-being and Decision Making. Within each factor, single item measures were as responsive as multi-item measures. Four single items, 'the amount of information received for decision making,' 'strength of preference,' 'I weighed the pros and cons,' and 'General Health,' were adequately responsive to the decision aids. These items might be considered for inclusion in questionnaires to evaluate decision aids.

  15. Feasibility and Efficacy of Nurse-Driven Acute Stroke Care.

    PubMed

    Mainali, Shraddha; Stutzman, Sonja; Sengupta, Samarpita; Dirickson, Amanda; Riise, Laura; Jones, Donald; Yang, Julian; Olson, DaiWai M

    2017-05-01

    Acute stroke care requires rapid assessment and intervention. Replacing traditional sequential algorithms in stroke care with parallel processing using telestroke consultation could be useful in the management of acute stroke patients. The purpose of this study was to assess the feasibility of a nurse-driven acute stroke protocol using a parallel processing model. This is a prospective, nonrandomized, feasibility study of a quality improvement initiative. Stroke team members had a 1-month training phase, and then the protocol was implemented for 6 months and data were collected on a "run-sheet." The primary outcome of this study was to determine if a nurse-driven acute stroke protocol is feasible and assists in decreasing door to needle (intravenous tissue plasminogen activator [IV-tPA]) times. Of the 153 stroke patients seen during the protocol implementation phase, 57 were designated as "level 1" (symptom onset <4.5 hours) strokes requiring acute stroke management. Among these strokes, 78% were nurse-driven, and 75% of the telestroke encounters were also nurse-driven. The average door to computerized tomography time was significantly reduced in nurse-driven codes (38.9 minutes versus 24.4 minutes; P < .04). The use of a nurse-driven protocol is feasible and effective. When used in conjunction with a telestroke specialist, it may be of value in improving patient outcomes by decreasing the time for door to decision for IV-tPA. Copyright © 2017 National Stroke Association. Published by Elsevier Inc. All rights reserved.

  16. Towards a climate-driven dengue decision support system for Thailand

    NASA Astrophysics Data System (ADS)

    Lowe, Rachel; Cazelles, Bernard; Paul, Richard; Rodó, Xavier

    2014-05-01

    Dengue is a peri-urban mosquito-transmitted disease, ubiquitous in the tropics and the subtropics. The geographic distribution of dengue and its more severe form, dengue haemorrhagic fever (DHF), have expanded dramatically in the last decades and dengue is now considered to be the world's most important arboviral disease. Recent demographic changes have greatly contributed to the acceleration and spread of the disease along with uncontrolled urbanization, population growth and increased air travel, which acts as a mechanism for transporting and exchanging dengue viruses between endemic and epidemic populations. The dengue vector and virus are extremely sensitive to environmental conditions such as temperature, humidity and precipitation that influence mosquito biology, abundance and habitat and the virus replication speed. In order to control the spread of dengue and impede epidemics, decision support systems are required that take into account the multi-faceted array of factors that contribute to increased dengue risk. Due to availability of seasonal climate forecasts, that predict the average climate conditions for forthcoming months/seasons in both time and space, there is an opportunity to incorporate precursory climate information in a dengue decision support system to aid epidemic planning months in advance. Furthermore, oceanic indicators from teleconnected areas in the Pacific and Indian Ocean, that can provide some indication of the likely prevailing climate conditions in certain regions, could potentially extend predictive lead time in a dengue early warning system. In this paper we adopt a spatio-temporal Bayesian modelling framework for dengue in Thailand to support public health decision making. Monthly cases of dengue in the 76 provinces of Thailand for the period 1982-2012 are modelled using a multi-layered approach. Environmental explanatory variables at various spatial and temporal resolutions are incorporated into a hierarchical model in order to

  17. Experiences of treatment decision making for young people diagnosed with depressive disorders: a qualitative study in primary care and specialist mental health settings

    PubMed Central

    2011-01-01

    Background Clinical guidelines advocate for the inclusion of young people experiencing depression as well as their caregivers in making decisions about their treatment. Little is known, however, about the degree to which these groups are involved, and whether they want to be. This study sought to explore the experiences and desires of young people and their caregivers in relation to being involved in treatment decision making for depressive disorders. Methods Semi-structured interviews were carried out with ten young people and five caregivers from one primary care and one specialist mental health service about their experiences and beliefs about treatment decision making. Interviews were audio taped, transcribed verbatim and analysed using thematic analysis. Results Experiences of involvement for clients varied and were influenced by clients themselves, clinicians and service settings. For caregivers, experiences of involvement were more homogenous. Desire for involvement varied across clients, and within clients over time; however, most clients wanted to be involved at least some of the time. Both clients and caregivers identified barriers to involvement. Conclusions This study supports clinical guidelines that advocate for young people diagnosed with depressive disorders to be involved in treatment decision making. In order to maximise engagement, involvement in treatment decision making should be offered to all clients. Involvement should be negotiated explicitly and repeatedly, as desire for involvement may change over time. Caregiver involvement should be negotiated on an individual basis; however, all caregivers should be supported with information about mental disorders and treatment options. PMID:22151735

  18. A natural driven membrane process for brackish and wastewater treatment: photovoltaic powered ED and FO hybrid system.

    PubMed

    Zhang, Yang; Pinoy, Luc; Meesschaert, Boudewijn; Van der Bruggen, Bart

    2013-09-17

    In isolated locations, remote areas, or islands, potable water is precious because of the lack of drinking water treatment facilities and energy supply. Thus, a robust and reliable water treatment system based on natural energy is needed to reuse wastewater or to desalinate groundwater/seawater for provision of drinking water. In this work, a hybrid membrane system combining electrodialysis (ED) and forward osmosis (FO), driven by renewable energy (solar energy), denoted as EDFORD (ED-FO Renewable energy Desalination), is proposed to produce high-quality water (potable) from secondary wastewater effluent or brackish water. In this hybrid membrane system, feedwater (secondary wastewater effluent or synthetic brackish water) was drawn to the FO draw solution while the organic and inorganic substances (ions, compounds, colloids and particles) were rejected. The diluted draw solution was then pumped to the solar energy driven ED. In the ED unit, the diluted draw solution was desalted and high-quality water was produced; the concentrate was recycled to the FO unit and reused as the draw solution. Results show that the water produced from this system contains a low concentration of total organic carbon (TOC), carbonate, and cations derived from the feedwater; had a low conductivity; and meets potable water standards. The water production cost considering the investment for membranes and solar panel is 3.32 to 4.92 EUR m(-3) (for 300 days of production per year) for a small size potable water production system.

  19. Federal Policy to Local Level Decision-Making: Data Driven Education Planning in Nigeria

    ERIC Educational Resources Information Center

    Iyengar, Radhika; Mahal, Angelique R.; Felicia, Ukaegbu-Nnamchi Ifeyinwa; Aliyu, Balaraba; Karim, Alia

    2015-01-01

    This article discusses the implementation of local level education data-driven planning as implemented by the Office of the Senior Special Assistant to the President of Nigeria on the Millennium Development Goals (OSSAP-MDGs) in partnership with The Earth Institute, Columbia University. It focuses on the design and implementation of the…

  20. Decision-making analysis for allergen immunotherapy versus nasal steroids in the treatment of nasal steroid-responsive allergic rhinitis.

    PubMed

    Kennedy, Joshua L; Robinson, Derek; Christophel, Jared; Borish, Larry; Payne, Spencer

    2014-01-01

    The purpose of the study was to determine the age at which initiation of specific subcutaneous immunotherapy (SCIT) becomes more cost-effective than continued lifetime intranasal steroid (NS) therapy in the treatment of allergic rhinitis, with the use of a decision analysis model. A Markov decision analysis model was created for this study. Economic analyses were performed to identify "break-even" points in the treatment of allergic rhinitis with the use of SCIT and NS. Efficacy rates for therapy and cost data were collected from the published literature. Models in which there was only incomplete improvement while receiving SCIT were also evaluated for economic break-even points. The primary perspective of the study was societal. Multiple break-even point curves were obtained corresponding to various clinical scenarios. For patients with seasonal allergic rhinitis requiring NS (i.e., fluticasone) 6 months per year, the age at which initiation of SCIT provides long-term direct cost advantage is less than 41 years. For patients with perennial rhinitis symptoms requiring year-round NS, the cut-off age for SCIT cost-effectiveness increases to 60 years. Hypothetical subjects who require continued NS treatment (50% reduction of previous dosage) while receiving SCIT also display break-even points, whereby it is economically advantageous to consider allergy referral and SCIT, dependent on the cost of the NS prescribed. The age at which SCIT provides economic advantages over NS in the treatment of allergic rhinitis depends on multiple clinical factors. Decision analysis models can assist the physician in accounting for these factors and customize patient counseling with regard to treatment options.

  1. Shared decision-making in epilepsy management.

    PubMed

    Pickrell, W O; Elwyn, G; Smith, P E M

    2015-06-01

    Policy makers, clinicians, and patients increasingly recognize the need for greater patient involvement in clinical decision-making. Shared decision-making helps address these concerns by providing a framework for clinicians and patients to make decisions together using the best evidence. Shared decision-making is applicable to situations where several acceptable options exist (clinical equipoise). Such situations occur commonly in epilepsy, for example, in decisions regarding the choice of medication, treatment in pregnancy, and medication withdrawal. A talk model is a way of implementing shared decision-making during consultations, and decision aids are useful tools to assist in the process. Although there is limited evidence available for shared decision-making in epilepsy, there are several benefits of shared decision-making in general including improved decision quality, more informed choices, and better treatment concordance. Copyright © 2015 Elsevier Inc. All rights reserved.

  2. Preferred Roles in Treatment Decision Making Among Patients With Cancer: A Pooled Analysis of Studies Using the Control Preferences Scale

    PubMed Central

    Singh, Jasvinder A.; Sloan, Jeff A.; Atherton, Pamela J.; Smith, Tenbroeck; Hack, Thomas F.; Huschka, Mashele M.; Rummans, Teresa A.; Clark, Matthew M.; Diekmann, Brent; Degner, Lesley F.

    2010-01-01

    Objectives To collect normative data, assess differences between demographic groups, and indirectly compare US and Canadian medical systems relative to patient expectations of involvement in cancer treatment decision making. Study Design Meta-analysis. Methods Individual patient data were compiled across 6 clinical studies among 3491 patients with cancer who completed the 2-item Control Preferences Scale indicating the roles they preferred versus actually experienced in treatment decision making. Results The roles in treatment decision making that patients preferred were 26% active, 49% collaborative, and 25% passive. The roles that patients reported actually experiencing were 30% active, 34% collaborative, and 36% passive. Roughly 61% of patients reported having their preferred role; only 6% experienced extreme discordance between their preferred versus actual roles. More men than women (66% vs 60%, P = .001) and more US patients than Canadian patients (84% vs 54%, P <.001) reported concordance between their preferred versus actual roles. More Canadian patients than US patients preferred and actually experienced (42% vs 18%, P <.001) passive roles. More women than men reported taking a passive role (40% vs 24%, P <.001). Older patients preferred and were more likely than younger patients to assume a passive role. Conclusions Roughly half of the studied patients with cancer indicated that they preferred to have a collaborative relationship with physicians. Although most patients had the decision-making role they preferred, about 40% experienced discordance. This highlights the need for incorporation of individualized patient communication styles into treatment plans. PMID:20873956

  3. Variation in palliative care of esophageal cancer in clinical practice: factors associated with treatment decisions.

    PubMed

    Opstelten, Jorrit L; de Wijkerslooth, Laetitia R H; Leenders, Max; Bac, Dirk Jan; Brink, Menno A; Loffeld, Boudewijn C A J; Meijnen-Bult, Mariëlle J F; Minderhoud, Itta M; Verhagen, Marc A M T; van Oijen, Martijn G H; Siersema, Peter D

    2017-02-01

    Various treatments are available for the palliation of esophageal cancer, but the optimal therapeutic approach is unclear. This study aimed to assess the palliative treatment modalities used in patients with inoperable esophageal cancer and to identify factors associated with treatment decisions. A population-based, retrospective cohort study was conducted using data from the nationwide Netherlands Cancer Registry and medical records of seven participating hospitals. Patients diagnosed with stage III-IV inoperable esophageal or gastric cardia cancer in the central part of the Netherlands between 2001 and 2010 were included. Logistic regression analyses were performed to identify determinants of treatment choices. In total, 736 patients were initially treated with best supportive care (21%), stent placement (19%), chemotherapy (18%), external beam radiotherapy (EBRT) (16%), brachytherapy (6%), a combination of EBRT and brachytherapy (6%), a combination of chemotherapy and EBRT (5%) or another treatment (9%). The palliative approach varied for disease stage (P < 0.01) and hospital of diagnosis (P < 0.01). Independent factors affecting treatment decisions were age, degree of dysphagia, tumor histology, tumor localization, disease stage, and hospital of diagnosis. For example, patients diagnosed in one hospital were less likely to be treated with EBRT than with stent placement compared to patients in another hospital (odds ratio 0.20, 95% confidence interval 0.07-0.59). In conclusion, the initial palliative approach of patients with inoperable esophageal cancer varies widely and is not only associated with patient- and disease-related factors, but also with hospital of diagnosis. These findings suggest a lack of therapeutic guidance and highlight the need for more evidence on palliative care strategies for esophageal cancer. © 2016 International Society for Diseases of the Esophagus.

  4. Lay Referral Patterns Involved in Cardiac Treatment Decision Making among Middle-Aged and Older Adults

    ERIC Educational Resources Information Center

    Schoenberg, Nancy E.; Amey, Cheryl H.; Stoller, Eleanor Palo; Muldoon, Susan B.

    2003-01-01

    Purpose: This study examined age and contextually related factors that are influential in lay referral patterns during cardiac treatment decision making. Design and Methods: A complementary design was used. The Myocardial Infarction (MI) Onset Study identified demographic correlates of who sought medical care for 1,388 MI (heart attack) survivors.…

  5. UK: AIDS treatment main factor in decision to grant permission to appeal immigration decision.

    PubMed

    Gold, Jennifer

    2003-12-01

    On 26 June 2003, the England and Wales Court of Appeal (Civil Division) granted an application for leave to appeal a decision of the Immigration Appeal Tribunal, which had overturned an adjudicator's decision to allow an HIV-positive citizen of Uganda to immigrate to the United Kingdom (UK).

  6. Consultation audio-recording reduces long-term decision regret after prostate cancer treatment: A non-randomised comparative cohort study.

    PubMed

    Good, Daniel W; Delaney, Harry; Laird, Alexander; Hacking, Belinda; Stewart, Grant D; McNeill, S Alan

    2016-12-01

    The life expectancy of prostate patients is long and patients will spend many years carrying the burdens & benefits of the treatment decisions they have made, therefore, it is vital that decisions on treatments are shared between patient and physician. The objective was to determine if consultation audio-recording improves quality of life, reduces regret or improves patient satisfaction in comparison to standard counselling. In 2012 we initiated consultation audio-recordings, where patients are given a CD of their consultation to keep and replay at home. We conducted a prospective non-randomised study of patient satisfaction, quality of life (QOL) and decision regret at 12 months follow-up using posted validated questionnaires for the audio-recording (AR) patients and a control cohort. Qualitative and thematic analyses were used. Forty of 59 patients in the AR group, and 27 of 45 patients in the control group returned the questionnaires. Patient demographics were similar in both groups with no statistically significant differences between the two groups. Decision regret was lower in the audio-recording group (11/100) vs control group (19/100) (p = 0.04). The risk ratio for not having any long-term decision regret was 5.539 (CI 1.643-18.674), with NNT to prevent regret being 4. Regression analysis showed that receiving audio-recording was strongest predictor for absence of regret even greater than potency and incontinence. The study has shown that audio-recording clinic consultation reduces long-term decision regret, increases patient information recall, understanding and confidence in their decision. There is great potential for further expansion of this low-cost intervention. Copyright © 2014 Royal College of Surgeons of Edinburgh (Scottish charity number SC005317) and Royal College of Surgeons in Ireland. Published by Elsevier Ltd. All rights reserved.

  7. Time to treatment and acute coronary syndromes: bridging the gap in rapid decision making.

    PubMed

    Peacock, W Frank

    2010-01-01

    The role of cardiac biomarkers in the diagnosis, risk stratification, and treatment of patients with chest pain and suspected acute coronary syndromes (ACS) has continued to evolve. Although it is clear that troponin (Tn) measurement provides independent prognostic information in patients with suspected ACS, it is less well established that early B-type natriuretic peptide (BNP) measurement provides additional incremental prognostic information above and beyond electrocardiography and Tn measurement. It is useful to identify patients at high risk for adverse events through measurement of Tn and BNP levels so that timely treatment decisions can be made.

  8. Parent Perspectives on the Decision to Initiate Medication Treatment of Attention-Deficit/Hyperactivity Disorder

    PubMed Central

    Pappadopulos, Elizabeth; Katsiotas, Nikki J.; Berest, Alison; Jensen, Peter S.; Kafantaris, Vivian

    2012-01-01

    Abstract Objectives Despite substantial evidence supporting the efficacy of stimulant medication for children with attention-deficit/hyperactivity disorder (ADHD), adherence to stimulant treatment is often suboptimal. Applying social/cognitive theories to understanding and assessing parent attitudes toward initiating medication may provide insight into factors influencing parent decisions to follow ADHD treatment recommendations. This report describes results from formative research that used focus groups to obtain parent input to guide development of a provider-delivered intervention to improve adherence to stimulants. Methods Participants were caregivers of children with ADHD who were given a stimulant treatment recommendation. Focus groups were recorded and transcribed verbatim. Data were analyzed by inductive, grounded theory methods as well as a deductive analytic strategy using an adapted version of the Unified Theory of Behavior Change to organize and understand parent accounts. Results Five groups were conducted with 27 parents (mean child age=9.35 years; standard deviation [SD]=2.00), mean time since diagnosis=3.33 years (SD=2.47). Most parents (81.5%) had pursued stimulant treatment. Inductive analysis revealed 17 attitudes facilitating adherence and 25 barriers. Facilitators included parent beliefs that medication treatment resulted in multiple functional gains and that treatment was imperative for their children's safety. Barriers included fears of personality changes and medication side effects. Complex patterns of parent adherence to medication regimens were also identified, as well as preferences for psychiatrists who were diagnostically expert, gave psychoeducation using multiple modalities, and used a chronic illness metaphor to explain ADHD. Theory-based analyses revealed conflicting expectancies about treatment risks and benefits, significant family pressures to avoid medication, guilt and concern that their children required medication, and

  9. Parent perspectives on the decision to initiate medication treatment of attention-deficit/hyperactivity disorder.

    PubMed

    Coletti, Daniel J; Pappadopulos, Elizabeth; Katsiotas, Nikki J; Berest, Alison; Jensen, Peter S; Kafantaris, Vivian

    2012-06-01

    Despite substantial evidence supporting the efficacy of stimulant medication for children with attention-deficit/hyperactivity disorder (ADHD), adherence to stimulant treatment is often suboptimal. Applying social/cognitive theories to understanding and assessing parent attitudes toward initiating medication may provide insight into factors influencing parent decisions to follow ADHD treatment recommendations. This report describes results from formative research that used focus groups to obtain parent input to guide development of a provider-delivered intervention to improve adherence to stimulants. Participants were caregivers of children with ADHD who were given a stimulant treatment recommendation. Focus groups were recorded and transcribed verbatim. Data were analyzed by inductive, grounded theory methods as well as a deductive analytic strategy using an adapted version of the Unified Theory of Behavior Change to organize and understand parent accounts. Five groups were conducted with 27 parents (mean child age=9.35 years; standard deviation [SD]=2.00), mean time since diagnosis=3.33 years (SD=2.47). Most parents (81.5%) had pursued stimulant treatment. Inductive analysis revealed 17 attitudes facilitating adherence and 25 barriers. Facilitators included parent beliefs that medication treatment resulted in multiple functional gains and that treatment was imperative for their children's safety. Barriers included fears of personality changes and medication side effects. Complex patterns of parent adherence to medication regimens were also identified, as well as preferences for psychiatrists who were diagnostically expert, gave psychoeducation using multiple modalities, and used a chronic illness metaphor to explain ADHD. Theory-based analyses revealed conflicting expectancies about treatment risks and benefits, significant family pressures to avoid medication, guilt and concern that their children required medication, and distorted ideas about treatment risks

  10. Patients' preferences regarding shared decision-making in the treatment of inflammatory bowel disease: results from a patient-empowerment study.

    PubMed

    Baars, Judith E; Markus, Tineke; Kuipers, Ernst J; van der Woude, C Janneke

    2010-01-01

    Shared decision-making is gaining favor in clinical practice, although the extent to which patients want to be involved in choosing their treatment varies substantially. Because data are lacking on the preferences of patients with chronic diseases such as inflammatory bowel disease (IBD), we wanted to assess IBD patients' preferences about being involved in such decisions. Adult IBD patients were asked to anonymously complete an online survey on their preferences. Non-parametric tests (chi(2)) were used to determine the relationship between responses and respondents. The questionnaire was completed by 1,067 patients, 617 with Crohn's disease and 450 with ulcerative colitis. Patients' mean age was 43 (SD 13.7) years; the majority were female (66%). In total, 866 patients (81%) reported it as 'very important' to be actively involved in the decision-making process, and another 177 (17%) rated it as 'quite important'. When asked how their treatment could be improved, 537 patients (50%) wanted close, equitable collaboration with their physician. This preference was significantly associated with a disease duration of decision-making process. Further research is needed on physicians' perspectives on shared decision-making, and on finding predictive factors for developing a model for shared decision-making in IBD. Copyright (c) 2010 S. Karger AG, Basel.

  11. Risk as Feelings in the Effect of Patient Outcomes on Physicians' Subsequent Treatment Decisions: A Randomized Trial and Manipulation Validation

    PubMed Central

    Hemmerich, Joshua A; Elstein, Arthur S; Schwarze, Margaret L; Moliski, Elizabeth G; Dale, William

    2013-01-01

    The present study tested predictions derived from the Risk as Feelings hypothesis about the effects of prior patients' negative treatment outcomes on physicians' subsequent treatment decisions. Two experiments at The University of Chicago, U.S.A., utilized a computer simulation of an abdominal aortic aneurysm (AAA) patient with enhanced realism to present participants with one of three experimental conditions: AAA rupture causing a watchful waiting death (WWD), perioperative death (PD), or a successful operation (SO), as well as the statistical treatment guidelines for AAA. Experiment 1 tested effects of these simulated outcomes on (n=76) laboratory participants' (university student sample) self-reported emotions, and their ratings of valence and arousal of the AAA rupture simulation and other emotion inducing picture stimuli. Experiment 2 tested two hypotheses: 1) that experiencing a patient WWD in the practice trial's experimental condition would lead physicians to choose surgery earlier, and 2) experiencing a patient PD would lead physicians to choose surgery later with the next patient. Experiment 2 presented (n=132) physicians (surgeons and geriatricians) with the same experimental manipulation and a second simulated AAA patient. Physicians then chose to either go to surgery or continue watchful waiting. The results of Experiment 1 demonstrated that the WWD experimental condition significantly increased anxiety, and was rated similarly to other negative and arousing pictures. The results of Experiment 2 demonstrated that, after controlling for demographics, baseline anxiety, intolerance for uncertainty, risk attitudes, and the influence of simulation characteristics, the WWD experimental condition significantly expedited decisions to choose surgery for the next patient. The results support the Risk as Feelings hypothesis on physicians' treatment decisions in a realistic AAA patient computer simulation. Bad outcomes affected emotions and decisions, even with

  12. Risk as feelings in the effect of patient outcomes on physicians' future treatment decisions: a randomized trial and manipulation validation.

    PubMed

    Hemmerich, Joshua A; Elstein, Arthur S; Schwarze, Margaret L; Moliski, Elizabeth Ghini; Dale, William

    2012-07-01

    The present study tested predictions derived from the Risk as Feelings hypothesis about the effects of prior patients' negative treatment outcomes on physicians' subsequent treatment decisions. Two experiments at The University of Chicago, U.S.A., utilized a computer simulation of an abdominal aortic aneurysm (AAA) patient with enhanced realism to present participants with one of three experimental conditions: AAA rupture causing a watchful waiting death (WWD), perioperative death (PD), or a successful operation (SO), as well as the statistical treatment guidelines for AAA. Experiment 1 tested effects of these simulated outcomes on (n = 76) laboratory participants' (university student sample) self-reported emotions, and their ratings of valence and arousal of the AAA rupture simulation and other emotion-inducing picture stimuli. Experiment 2 tested two hypotheses: 1) that experiencing a patient WWD in the practice trial's experimental condition would lead physicians to choose surgery earlier, and 2) experiencing a patient PD would lead physicians to choose surgery later with the next patient. Experiment 2 presented (n = 132) physicians (surgeons and geriatricians) with the same experimental manipulation and a second simulated AAA patient. Physicians then chose to either go to surgery or continue watchful waiting. The results of Experiment 1 demonstrated that the WWD experimental condition significantly increased anxiety, and was rated similarly to other negative and arousing pictures. The results of Experiment 2 demonstrated that, after controlling for demographics, baseline anxiety, intolerance for uncertainty, risk attitudes, and the influence of simulation characteristics, the WWD experimental condition significantly expedited decisions to choose surgery for the next patient. The results support the Risk as Feelings hypothesis on physicians' treatment decisions in a realistic AAA patient computer simulation. Bad outcomes affected emotions and decisions, even

  13. Decision-making in female fertility preservation is balancing the expected burden of fertility preservation treatment and the wish to conceive.

    PubMed

    Baysal, Ö; Bastings, L; Beerendonk, C C M; Postma, S A E; IntHout, J; Verhaak, C M; Braat, D D M; Nelen, W L D M

    2015-07-01

    What are the decisive factors in fertility preservation (FP) decision-making in young women scheduled for gonadotoxic therapy? FP decision-making in young women scheduled for gonadotoxic therapy is mainly based on weighing two issues: the intensity of the wish to conceive a child in the future and the expected burden of undergoing FP treatment. Future fertility is of importance for young cancer patients whose reproductive function is being threatened by oncological therapy. To prevent or reduce severe psychological effects of infertility as well as feelings of regret about their FP decision after cancer treatment, the quality of fertility preservation counselling (FPC) should be improved. To improve care, those issues forming a decisive factor in FP decision-making for patients should be clarified, as these issues deserve extensive discussion during FPC. Until now, decisive factors have not been isolated from the complex interplay of all aspects of FP that women contemplate during FP decision-making. By using a mixed methods methodology, a questionnaire developed after qualitative research involving a selected group of five women who previously received FPC was retrospectively sent to eligible patients (n = 143) who had received FPC (1999 - July 2013) and to whom at least one FP option was offered. Patients had received FPC at a university hospital in the Netherlands, in a setting where financial factors do not play a role in FP. They were aged ≥16 years and were scheduled for gonadotoxic treatment. The relationship between patients' baseline characteristics, their attributed importance to 28 relevant importance items and their FP choices was investigated. After five interviews, 28 importance items for FP decision-making were identified and included in our questionnaire. Of these 28 importance items, 24 items could be clustered into seven importance themes. A total of 87 patients (61%) responded to our questionnaire. After performing a multivariable logistic

  14. Primary Care Providers’ Initial Treatment Decisions and Antidepressant Prescribing for Adolescent Depression

    PubMed Central

    Radovic, Ana; Farris, Coreen; Reynolds, Kerry; Reis, Evelyn C.; Miller, Elizabeth; Stein, Bradley D.

    2014-01-01

    OBJECTIVE Adolescent depression is a serious and undertreated public health problem. Nonetheless, pediatric primary care providers (PCPs) may have low rates of antidepressant prescribing due to structural and training barriers. We examined the impact of symptom severity and provider characteristics on initial depression treatment decisions in a setting with fewer structural barriers, an integrated behavioral health network. METHOD We administered a cross sectional survey to 58 PCPs within a large pediatric practice network. We compared PCP reports of initial treatment decisions in response to two vignettes describing depressed adolescents with either moderate or severe symptoms. We measured PCP depression knowledge, attitudes toward addressing psychosocial concerns, demographics, and practice characteristics. RESULTS Few PCPs (25% for moderate, 32% for severe) recommended an antidepressant. Compared with treatment recommendations for moderate depression, severe depression was associated with a greater likelihood of child psychiatry referral (OR 5.50[95% CI 2.47-12.2] p<.001). Depression severity did not affect the likelihood of antidepressant recommendation (OR 1.58[95% CI 0.80-3.11] p=.19). Antidepressants were more likely to be recommended by PCPs with greater depression knowledge (OR 1.72[95% CI 1.14-2.59] p=.009) and access to an on-site mental health provider (OR 5.13[95% CI 1.24-21.2] p=.02) and less likely to be recommended by PCPs who reported higher provider burden when addressing psychosocial concerns (OR 0.85[95% CI 0.75-0.98] p=.02). CONCLUSION PCPs infrequently recommended antidepressants for adolescents, regardless of depression severity. Continued PCP support through experiential training, accounting for provider burden when addressing psychosocial concerns, and co-management with mental health providers may increase PCPs’ antidepressant prescribing. PMID:24336091

  15. Dysfunctional decision-making in pathological gambling: pattern specificity and the role of impulsivity.

    PubMed

    Kräplin, Anja; Dshemuchadse, Maja; Behrendt, Silke; Scherbaum, Stefan; Goschke, Thomas; Bühringer, Gerhard

    2014-03-30

    Dysfunctional decision-making in individuals with pathological gambling (PGs) may result from dominating reward-driven processes, indicated by higher impulsivity. In the current study we examined (1) if PGs show specific decision-making impairments related to dominating reward-driven processes rather than to strategic planning deficits and (2) whether these impairments are related to impulsivity. Nineteen PGs according to DSM-IV and 19 matched control subjects undertook the Cambridge Gambling Task (CGT) to assess decision-making. The delay discounting paradigm (DDP) as well as the UPPS Impulsive Behavior Scale (measuring urgency, premeditation, perseverance and sensation seeking) were administered as multidimensional measures of impulsivity. Results revealed that (1) PGs exhibited higher risk seeking and an immediate reward focus in the CGT and, in contrast, comparable strategic planning to the control group. (2) Decision-making impairments were related to more severe delay discounting and, specifically, to increased urgency and less premeditation. Our findings suggest (1) the necessity to disentangle decision-making components in order to improve etiological models of PGs, and (2) that urgency and premeditation are specifically related to disadvantageous decision-making and should be tackled in intervention strategies focusing on emotion tolerance and control strategies. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  16. Development of a decision aid to inform patients' and families' renal replacement therapy selection decisions.

    PubMed

    Ameling, Jessica M; Auguste, Priscilla; Ephraim, Patti L; Lewis-Boyer, LaPricia; DePasquale, Nicole; Greer, Raquel C; Crews, Deidra C; Powe, Neil R; Rabb, Hamid; Boulware, L Ebony

    2012-12-01

    Few educational resources have been developed to inform patients' renal replacement therapy (RRT) selection decisions. Patients progressing toward end stage renal disease (ESRD) must decide among multiple treatment options with varying characteristics. Complex information about treatments must be adequately conveyed to patients with different educational backgrounds and informational needs. Decisions about treatment options also require family input, as families often participate in patients' treatment and support patients' decisions. We describe the development, design, and preliminary evaluation of an informational, evidence-based, and patient-and family-centered decision aid for patients with ESRD and varying levels of health literacy, health numeracy, and cognitive function. We designed a decision aid comprising a complementary video and informational handbook. We based our development process on data previously obtained from qualitative focus groups and systematic literature reviews. We simultaneously developed the video and handbook in "stages." For the video, stages included (1) directed interviews with culturally appropriate patients and families and preliminary script development, (2) video production, and (3) screening the video with patients and their families. For the handbook, stages comprised (1) preliminary content design, (2) a mixed-methods pilot study among diverse patients to assess comprehension of handbook material, and (3) screening the handbook with patients and their families. The video and handbook both addressed potential benefits and trade-offs of treatment selections. The 50-minute video consisted of demographically diverse patients and their families describing their positive and negative experiences with selecting a treatment option. The video also incorporated health professionals' testimonials regarding various considerations that might influence patients' and families' treatment selections. The handbook was comprised of written

  17. Development of a decision aid to inform patients’ and families’ renal replacement therapy selection decisions

    PubMed Central

    2012-01-01

    Background Few educational resources have been developed to inform patients’ renal replacement therapy (RRT) selection decisions. Patients progressing toward end stage renal disease (ESRD) must decide among multiple treatment options with varying characteristics. Complex information about treatments must be adequately conveyed to patients with different educational backgrounds and informational needs. Decisions about treatment options also require family input, as families often participate in patients’ treatment and support patients’ decisions. We describe the development, design, and preliminary evaluation of an informational, evidence-based, and patient-and family-centered decision aid for patients with ESRD and varying levels of health literacy, health numeracy, and cognitive function. Methods We designed a decision aid comprising a complementary video and informational handbook. We based our development process on data previously obtained from qualitative focus groups and systematic literature reviews. We simultaneously developed the video and handbook in “stages.” For the video, stages included (1) directed interviews with culturally appropriate patients and families and preliminary script development, (2) video production, and (3) screening the video with patients and their families. For the handbook, stages comprised (1) preliminary content design, (2) a mixed-methods pilot study among diverse patients to assess comprehension of handbook material, and (3) screening the handbook with patients and their families. Results The video and handbook both addressed potential benefits and trade-offs of treatment selections. The 50-minute video consisted of demographically diverse patients and their families describing their positive and negative experiences with selecting a treatment option. The video also incorporated health professionals’ testimonials regarding various considerations that might influence patients’ and families’ treatment selections

  18. The influence of sex, race, and age on pain assessment and treatment decisions using virtual human technology: a cross-national comparison.

    PubMed

    Torres, Calia A; Bartley, Emily J; Wandner, Laura D; Alqudah, Ashraf F; Hirsh, Adam T; Robinson, Michael E

    2013-01-01

    Studies in the United States have found that patients' sex, race, and age influence the pain assessment and treatment decisions of laypeople and medical professionals. However, there is limited research as to whether people of other nationalities make pain management decisions differently based on demographic characteristics. Therefore, the purpose of the following study was to compare pain assessment and treatment decisions of undergraduate students in Jordan and the United States as a preliminary examination of nationality as a potential proxy for cultural differences in pain decisions. Virtual human (VH) technology was used to examine the influences of patients' sex (male or female), race (light-skinned or dark-skinned), and age (younger or older) on students' pain management decisions. Seventy-five American and 104 Jordanian undergraduate students participated in this web-based study. American and Jordanian students rated pain intensity higher in females and older adults and were more likely to recommend medical help to these groups, relative to males and younger adults. Furthermore, Jordanian participants rated pain intensity higher and were more likely to recommend medical help for all patient demographic groups (ie, sex, race, age) than American participants. This is the first cross-national study that compares pain decisions between undergraduate students. The results suggest that sex, race, and age cues are used in pain assessment and treatment by both Americans and Jordanians, with Jordanians more likely to rate pain higher and recommend medical help to patients. Additional research is needed to determine the cultural determinants of these differences.

  19. Acceptable regret in medical decision making.

    PubMed

    Djulbegovic, B; Hozo, I; Schwartz, A; McMasters, K M

    1999-09-01

    When faced with medical decisions involving uncertain outcomes, the principles of decision theory hold that we should select the option with the highest expected utility to maximize health over time. Whether a decision proves right or wrong can be learned only in retrospect, when it may become apparent that another course of action would have been preferable. This realization may bring a sense of loss, or regret. When anticipated regret is compelling, a decision maker may choose to violate expected utility theory to avoid regret. We formulate a concept of acceptable regret in medical decision making that explicitly introduces the patient's attitude toward loss of health due to a mistaken decision into decision making. In most cases, minimizing expected regret results in the same decision as maximizing expected utility. However, when acceptable regret is taken into consideration, the threshold probability below which we can comfortably withhold treatment is a function only of the net benefit of the treatment, and the threshold probability above which we can comfortably administer the treatment depends only on the magnitude of the risks associated with the therapy. By considering acceptable regret, we develop new conceptual relations that can help decide whether treatment should be withheld or administered, especially when the diagnosis is uncertain. This may be particularly beneficial in deciding what constitutes futile medical care.

  20. Decision dissonance: evaluating an approach to measuring the quality of surgical decision making.

    PubMed

    Fowler, Floyd J; Gallagher, Patricia M; Drake, Keith M; Sepucha, Karen R

    2013-03-01

    Good decision making has been increasingly cited as a core component of good medical care, and shared decision making is one means of achieving high decision quality. If it is to be a standard, good measures and protocols are needed for assessing the quality of decisions. Consistency with patient goals and concerns is one defining characteristic of a good decision. A new method for evaluating decision quality for major surgical decisions was examined, and a methodology for collecting the needed data was developed. For a national probability sample of fee-for-service Medicare beneficiaries who had a coronary artery bypass graft (CABG), a lumpectomy or a mastectomy for breast cancer, or surgery for prostate cancer during the last half of 2008, a mail-survey of selected patients was carried out about one year after the procedures. Patients' goals and concerns, knowledge, key aspects of interactions with clinicians, and feelings about the decisions were assessed. A decision dissonance score was created that measured the extent to which patient ratings of goals ran counter to the treatment received. The construct and predictive validity of the decision dissonance score was then assessed. When data were averaged across all four procedures, patients with more knowledge and those who reported more involvement reported significantly lower Decision Dissonance Scores. Patients with lower Decision Dissonance Scores also reported more confidence in their decisions and feeling more positively about how the treatment turned out, and they were more likely to say that they would make the same decision again. Surveying discharged surgery patients is a feasible way to evaluate decision making, and Decision Dissonance appears to be a promising approach to validly measuring decision quality.

  1. Decision aids for patients.

    PubMed

    Lenz, Matthias; Buhse, Susanne; Kasper, Jürgen; Kupfer, Ramona; Richter, Tanja; Mühlhauser, Ingrid

    2012-06-01

    Patients want to be more involved in medical decision-making. To this end, some decision aids are now available. We present an overview of this subject, in which we explain the terms "shared decision-making", "decision aid", and "evidence-based patient information" and survey information on the available decision aids in German and other languages on the basis of a literature search in MEDLINE, EMBASE and PsycInfo and a current Cochrane Review. We also searched the Internet for providers of decision aids in Germany. Decision aids exist in the form of brochures, decision tables, videos, and computer programs; they address various topics in the prevention, diagnosis, and treatment of disease. They typically contain information on the advantages and disadvantages of the available options, as well as guidance for personal decision-making. They can be used alone or as a part of structured counseling or patient education. Minimal quality standards include an adequate evidence base, completeness, absence of bias, and intelligibility. Our search revealed 12 randomized controlled trials (RCTs) of decision aids in German and 106 RCTs of decision aids in other languages. These trials studied the outcome of the use of decision aids not just with respect to clinical developments, but also with respect to patient knowledge, adherence to treatment regimens, satisfaction, involvement in decision-making, autonomy preference, and decisional conflicts. Only a small fraction of the available decision aids were systematically developed and have been subjected to systematic evaluation. Patients are still not receiving the help in decision-making to which medical ethics entitles them. Structures need to be put in place for the sustainable development, evaluation and implementation of high-quality decision aids.

  2. Efficacy of shared decision-making on treatment adherence of patients with bipolar disorder: a cluster randomized trial (ShareD-BD).

    PubMed

    Samalin, L; Honciuc, M; Boyer, L; de Chazeron, I; Blanc, O; Abbar, M; Llorca, P M

    2018-04-13

    Shared decision-making (SDM) is a model of interaction between doctors and patients in which both actors contribute to the medical decision-making process. SDM has raised great interest in mental healthcare over the last decade, as it is considered a fundamental part of patient-centered care. However, there is no research evaluating the efficacy of SDM compared to usual care (CAU), as it relates to quality of care and more specifically treatment adherence, in bipolar disorder (BD). This is a 12-month multi-centre, cluster-randomized controlled trial comparing the efficacy of SDM to CAU. Adult BD patients (n = 300) will be eligible after stabilization for at least 4 weeks following an acute mood episode. The intervention will consist of applying the standardized SDM process as developed by the Ottawa Hospital Research Institute in order to choose the maintenance treatment of BD. A multidisciplinary team developed a decision aid "choose my long-term treatment with my doctor" for BD patients to clarify possible therapeutic options. Primary outcome will assess the patient's level of adherence (based on hetero-evaluation) of ongoing treatment at 12 months. Secondary outcomes will assess the difference between the 2 groups of patients in terms of adherence to maintenance drug therapy based on other measures (self-assessment scale and plasma levels of mood stabilizers). Additionally, other dimensions will be assessed: decisional conflict, satisfaction with care and involvement in decision making, beliefs about treatment, therapeutic relationship, knowledge about information for medical decision and clinical outcomes (depression, mania, functioning and quality of life). The primary endpoint will be analysed without adjustment by comparison of adherence scores between the two groups using Student t-tests or Mann-Whitney tests according to the variable distribution. A set of secondary analyses will be adjusted for covariates of clinical interest using generalized linear

  3. Effects of Viewing an Evidence-Based Video Decision Aid on Patients’ Treatment Preferences for Spine Surgery

    PubMed Central

    Lurie, Jon D.; Spratt, Kevin F.; Blood, Emily A.; Tosteson, Tor D.; Tosteson, Anna N. A.; Weinstein, James N.

    2011-01-01

    Study Design Secondary analysis within a large clinical trial Objective To evaluate the changes in treatment preference before and after watching a video decision aid as part of an informed consent process. Summary of Background Data A randomized trial with a similar decision aid in herniated disc patients had shown decreased rate of surgery in the video group, but the effect of the video on expressed preferences is not known. Methods Subjects enrolling in the Spine Patient Outcomes Research Trial (SPORT) with intervertebral disc herniation (IDH), spinal stenosis (SPS), or degenerative spondylolisthesis (DS) at thirteen multidisciplinary spine centers across the US were given an evidence-based videotape decision aid viewed prior to enrollment as part of informed consent. Results Of the 2505 patients, 86% (n=2151) watched the video and 14% (n=354) did not. Watchers shifted their preference more often than non-watchers(37.9% vs. 20.8%, p < 0.0001) and more often demonstrated a strengthened preference (26.2% vs. 11.1%, p < 0.0001). Among the 806 patients whose preference shifted after watching the video, 55% shifted toward surgery (p=0.003). Among the 617 who started with no preference, after the video 27% preferred non-operative care, 22% preferred surgery, and 51% remained uncertain. Conclusion After watching the evidence-based patient decision aid (video) used in SPORT, patients with specific lumbar spine disorders formed and/or strengthened their treatment preferences in a balanced way that did not appear biased toward or away from surgery. PMID:21358485

  4. Chemotherapy Toxicity Risk Score for Treatment Decisions in Older Adults with Advanced Solid Tumors.

    PubMed

    Nishijima, Tomohiro F; Deal, Allison M; Williams, Grant R; Sanoff, Hanna K; Nyrop, Kirsten A; Muss, Hyman B

    2018-05-01

    The decision whether to treat older adults with advanced cancer with standard therapy (ST) or reduced therapy (RT) is complicated by heterogeneity in aging. We assessed the potential utility of the chemotherapy toxicity risk score (CTRS) [J Clin Oncol 2011;29:3457-3465] for treatment decisions in older adults. This was a prospective observational study of patients aged ≥65 years receiving first-line chemotherapy for advanced cancer for which combination chemotherapy is the standard of care. Patients were categorized as high risk (CTRS ≥10), for whom RT (dose-reduced combination or single-agent chemotherapy) is deemed appropriate, or nonhigh risk (CTRS <10), for whom ST is deemed appropriate for toxicity. The primary objective was to estimate the agreement in chemotherapy choice (ST vs. RT) between the treating physician and the CTRS using a κ statistic. Fifty-eight patients (median age, 71 years) were enrolled. Thirty-eight patients received ST (21 had CTRS <10, and 17 had CTRS ≥10), and 20 patients received RT (12 had CTRS ≥10, and 8 had CTRS <10), with minimal agreement in chemotherapy choice (κ = 0.14; 95% CI, -0.10 to 0.38). Grade 3-4 toxicity and hospitalization occurred in 60% and 27% of 55 patients with follow-up data, respectively. Among patients receiving ST, patients with CTRS ≥10 had a higher incidence of toxicity (88% vs. 40%, p  = .006) and hospitalization (50% vs. 15%, p  = .03) than those with CTRS <10. Older patients with cancer with a high CTRS who receive combination chemotherapy have an exceedingly high rate of severe toxicity and hospitalization. The potential utility of the chemotherapy toxicity risk score (CTRS) in old adults with advanced solid tumors receiving first-line chemotherapy was assessed. Little agreement was found between chemotherapy treatment decisions based on the clinical impression versus what was recommended based on the CTRS. Among patients treated with standard-dose combination chemotherapy, patients

  5. Systemic Data-Based Decision Making: A Systems Approach for Using Data in Schools

    ERIC Educational Resources Information Center

    Walser, Tamara M.

    2009-01-01

    No Child Left Behind has increased data collection and reporting, the development of data systems, and interest in using data for decision-making in schools and classrooms. Ends-driven decision making has become common educational practice, where the ends justify the means at all costs, and short-term results trump longer-term outcomes and the…

  6. Heuristics in Managing Complex Clinical Decision Tasks in Experts' Decision Making.

    PubMed

    Islam, Roosan; Weir, Charlene; Del Fiol, Guilherme

    2014-09-01

    Clinical decision support is a tool to help experts make optimal and efficient decisions. However, little is known about the high level of abstractions in the thinking process for the experts. The objective of the study is to understand how clinicians manage complexity while dealing with complex clinical decision tasks. After approval from the Institutional Review Board (IRB), three clinical experts were interviewed the transcripts from these interviews were analyzed. We found five broad categories of strategies by experts for managing complex clinical decision tasks: decision conflict, mental projection, decision trade-offs, managing uncertainty and generating rule of thumb. Complexity is created by decision conflicts, mental projection, limited options and treatment uncertainty. Experts cope with complexity in a variety of ways, including using efficient and fast decision strategies to simplify complex decision tasks, mentally simulating outcomes and focusing on only the most relevant information. Understanding complex decision making processes can help design allocation based on the complexity of task for clinical decision support design.

  7. Decision aids to increase living donor kidney transplantation

    PubMed Central

    Gander, Jennifer C.; Gordon, Elisa J.; Patzer, Rachel E.

    2017-01-01

    Purpose of review For the more than 636,000 adults with end-stage renal disease (ESRD) in the U.S., kidney transplantation is the preferred treatment compared to dialysis. Living donor kidney transplantation (LDKT) comprised 31% of kidney transplantations in 2015, an 8% decrease since 2004. We aimed to summarize the current literature on decision aids that could be used to improve LDKT rates. Recent findings Decision aids are evidence-based tools designed to help patients and their families make difficult treatment decisions. LDKT decision aids can help ESRD patients, patients’ family and friends, and healthcare providers engage in treatment decisions and thereby overcome multifactorial LDKT barriers. Summary We identified 12 LDKT decision aids designed to provide information about LDKT, and/or to help ESRD patients identify potential living donors, and/or to help healthcare providers make decisions about treatment for ESRD or living donation. Of these, 4 were shown to be effective in increasing LDKT, donor inquiries, LDKT knowledge, and willingness to discuss LDKT. Although each LDKT decision aid has limitations, adherence to decision aid development guidelines may improve decision aid utilization and access to LDKT. PMID:29034143

  8. Choosing treatment and screening options congruent with values: Do decision aids help? Sub-analysis of a systematic review.

    PubMed

    Munro, Sarah; Stacey, Dawn; Lewis, Krystina B; Bansback, Nick

    2016-04-01

    To understand how well patients make value congruent decisions with and without patient decision aids (PtDAs) for screening and treatment options, and identify issues with its measurement and evaluation. A sub-analysis of trials included in the 2014 Cochrane Review of Decision Aids. Eligible trials measured value congruence with chosen option. Two reviewers independently screened 115 trials. Among 18 included trials, 8 (44%) measured value congruence using the Multidimensional Measure of Informed Choice (MMIC), 7 (39%) used heterogeneous methods, and 3 (17%) used unclear methods. Pooled results of trials that used heterogeneous measures were statistically non-significant (n=3). Results from trials that used the MMIC suggest patients are 48% more likely to make value congruent decisions when exposed to a PtDA for a screening decision (RR 1.48, 95% CI 1.01 to 2.16, n=8). Patients struggle to make value congruent decisions, but PtDAs may help. While the absolute improvement is relatively small it may be underestimated due to sample size issues, definitions, and heterogeneity of measures. Current approaches are inadequate to support patients making decisions that are consistent with their values. There is some evidence that PtDAs support patients with achieving values congruent decisions for screening choices. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  9. Service providers' perception of affective influences on decision-making about treatments for chronic pain.

    PubMed

    Brown, Cary A

    2004-01-07

    Service providers working with people who have complex health problems like chronic pain are considered at particular risk from the heavy emotional content of these interactions (frustration, guilt, hostility). For the good of service users and in the interests of healthcare workers' own health it is important for them to employ reflective practice acknowledging these issues. Service providers are inculcated to negate the affective domain of their practice despite the growing awareness that wellbeing can no longer be envisioned as a linear (cause and effect) process divorced from socio-cultural influences and attendant values and beliefs. The aim of this report is to examine to what degree service users (SU) and service providers (SP) believe their decisions about treatment importance are influenced by self-image and emotion. These results are extrapolated from a larger study based on a postal questionnaire that went to members of the Pain Society (UK Chapter of IASP) and service users belonging to chronic pain support groups in the North-West of England. The question of interest in this report asked participants to identify their level of agreement with statements about how four themes influence their decision-making about whether a treatment is important. The themes (coherence, purposiveness, self-image and affect) arise from Chapman's model of consciousness and pain. Only 20.5% of service providers rated the influence of self-image (what someone like me would think) as 3 (mostly) or 4 (completely). Service provider rating for the influence of affect (how this treatment makes me feel) were similarly low with only 19.4% of respondents selecting a rating of 3 or 4. In marked contrast, 73.3% of the service users selected self-image and 92.9% selected affect as a strong influence. Service providers felt that affect and self-image had little influence on their decision-making. However, there is growing evidence in the literature to suggest that it is not possible, nor

  10. Clinical decision rules, spinal pain classification and prediction of treatment outcome: A discussion of recent reports in the rehabilitation literature

    PubMed Central

    2012-01-01

    Clinical decision rules are an increasingly common presence in the biomedical literature and represent one strategy of enhancing clinical-decision making with the goal of improving the efficiency and effectiveness of healthcare delivery. In the context of rehabilitation research, clinical decision rules have been predominantly aimed at classifying patients by predicting their treatment response to specific therapies. Traditionally, recommendations for developing clinical decision rules propose a multistep process (derivation, validation, impact analysis) using defined methodology. Research efforts aimed at developing a “diagnosis-based clinical decision rule” have departed from this convention. Recent publications in this line of research have used the modified terminology “diagnosis-based clinical decision guide.” Modifications to terminology and methodology surrounding clinical decision rules can make it more difficult for clinicians to recognize the level of evidence associated with a decision rule and understand how this evidence should be implemented to inform patient care. We provide a brief overview of clinical decision rule development in the context of the rehabilitation literature and two specific papers recently published in Chiropractic and Manual Therapies. PMID:22726639

  11. Decision Dissonance: Evaluating an Approach to Measuring the Quality of Surgical Decision Making

    PubMed Central

    Fowler, Floyd J.; Gallagher, Patricia M.; Drake, Keith M.; Sepucha, Karen R.

    2013-01-01

    Background Good decision making has been increasingly cited as a core component of good medical care, and shared decision making is one means of achieving high decision quality. If it is to be a standard, good measures and protocols are needed for assessing the quality of decisions. Consistency with patient goals and concerns is one defining characteristic of a good decision. A new method for evaluating decision quality for major surgical decisions was examined, and a methodology for collecting the needed data was developed. Methods For a national probability sample of fee-for-service Medicare beneficiaries who had a coronary artery bypass graft (CABG), a lumpectomy or a mastectomy for breast cancer, or surgery for prostate cancer during the last half of 2008, a mail survey of selected patients was carried out about one year after the procedures. Patients’ goals and concerns, knowledge, key aspects of interactions with clinicians, and feelings about the decisions were assessed. A Decision Dissonance Score was created that measured the extent to which patient ratings of goals ran counter to the treatment received. The construct and predictive validity of the Decision Dissonance Score was then assessed. Results When data were averaged across all four procedures, patients with more knowledge and those who reported more involvement reported significantly lower Decision Dissonance Scores. Patients with lower Decision Dissonance Scores also reported more confidence in their decisions and feeling more positively about how the treatment turned out, and they were more likely to say that they would make the same decision again. Conclusions Surveying discharged surgery patients is a feasible way to evaluate decision making, and Decision Dissonance appears to be a promising approach to validly measuring decision quality. PMID:23516764

  12. Prospective Analysis of Decision Making During Joint Cardiology Cardiothoracic Conference in Treatment of 107 Consecutive Children with Congenital Heart Disease.

    PubMed

    Duignan, Sophie; Ryan, Aedin; O'Keeffe, Dara; Kenny, Damien; McMahon, Colin J

    2018-05-12

    The complexity and potential biases involved in decision making have long been recognised and examined in both the aviation and business industries. More recently, the medical community have started to explore this concept and its particular importance in our field. Paediatric cardiology is a rapidly expanding field and for many of the conditions we treat, there is limited evidence available to support our decision-making. Variability exists within decision-making in paediatric cardiology and this may influence outcomes. There are no validated tools available to support and examine consistent decision-making for various treatment strategies in children with congenital heart disease in a multidisciplinary cardiology and cardiothoracic institution. Our primary objective was to analyse the complexity of decision-making for children with cardiac conditions in the context of our joint cardiology and cardiothoracic conference (JCC). Two paediatric cardiologists acted as investigators by observing the weekly joint cardiology-cardiothoracic surgery conference and prospectively evaluating the degree of complexity of decision-making in the management of 107 sequential children with congenital heart disease discussed. Additionally, the group consensus on the same patients was prospectively assessed to compare this to the independent observers. Of 107 consecutive children discussed at our JCC conference 32 (27%) went on to receive surgical intervention, 20 (17%) underwent catheterisation and 65 (56%) received medical treatment. There were 53 (50%) cases rated as simple by one senior observer, while 54 (50%) were rated as complex to some degree. There was high inter-observer agreement with a Krippendorff's alpha of ≥ 0.8 between 2 observers and between 2 observers and the group consensus as a whole for grading of the complexity of decision-making. Different decisions were occasionally made on patients with the same data set. Discussions revisiting the same patient, in

  13. 'It's time she stopped torturing herself': structural constraints to decision-making about life-sustaining treatment by medical trainees.

    PubMed

    Jenkins, Tania M

    2015-05-01

    This article explores how structural factors associated with the profession and organization of medicine can constrain internal medicine residents, leading them to sometimes limit or terminate treatment in end-of-life care in ways that do not always embrace patient autonomy. Specifically, it examines the opportunities and motivations that explain why residents sometimes arrogate decision-making for themselves about life-sustaining treatment. Using ethnographic data drawn from over two years at an American community hospital, I contend that unlike previous studies which aggregate junior and senior physicians' perspectives, medical trainees face unique constraints that can lead them to intentionally or unintentionally overlook patient preferences. This is especially salient in cases where they misunderstand their patients' wishes, disagree about what is in their best interest, and/or lack the standing to pursue alternative ethical approaches to resolving these tensions. The study concludes with recommendations that take into account the structural underpinnings of arrogance in decision-making about life-sustaining treatment. Copyright © 2015 Elsevier Ltd. All rights reserved.

  14. Advance decisions and the Mental Capacity Act.

    PubMed

    Halliday, Samantha

    This article considers the requirements set out in the Mental Capacity Act 2005 for valid advance decisions. The Act recognizes that an adult with capacity may refuse treatment, including life-sustaining treatment, in advance of losing capacity. If that advance decision is valid and applicable, it will bind health-care professionals, taking effect as if the patient had contemporaneously refused the treatment. However, in cases where the advance decision does not relate to treatment for a progressive disease, it will be extremely difficult for the patient to meet the dual specificity requirement - specifying the treatment to be refused and the circumstances in which that refusal should operate. Moreover, while a patient may explicitly revoke an advance decision while she retains the capacity to do so, the continuing validity of an advance decision may be called into question by the patient implicitly revoking her advance refusal or by a change of circumstance. This article concludes that the key to enabling patients to exercise precedent autonomy will be full and frank discussion of the scope and intentions underlying advance decisions between patients and their health-care professionals.

  15. How can surgeons facilitate resident intraoperative decision-making?

    PubMed

    Hill, Katherine A; Dasari, Mohini; Littleton, Eliza B; Hamad, Giselle G

    2017-10-01

    Cognitive skills such as decision-making are critical to developing operative autonomy. We explored resident decision-making using a recollection of specific examples, from the attending surgeon and resident, after laparoscopic cholecystectomy. In a separate semi-structured interview, the attending and resident both answered five questions, regarding the resident's operative roles and decisions, ways the attending helped, times when the attending operated, and the effect of the relationship between attending and resident. Themes were extracted using inductive methods. Thirty interviews were completed after 15 cases. Facilitators of decision-making included dialogue, safe struggle, and appreciation for retraction. Aberrant case characteristics, anatomic uncertainties, and time pressures provided barriers. Attending-resident mismatches included descriptions of transitioning control to the attending. Reciprocal dialogue, including concept-driven feedback, is helpful during intraoperative teaching. Unanticipated findings impede resident decision-making, and we describe differences in understanding transfers of operative control. Given these factors, we suggest that pre-operative discussions may be beneficial. Copyright © 2017 Elsevier Inc. All rights reserved.

  16. ONCOLOGISTS’ ASSESSMENTS OF LUNG CANCER PATIENT AND FAMILY DISAGREEMENTS REGARDING TREATMENT DECISION MAKING

    PubMed Central

    Siminoff, Laura A.; Dorflinger, Lindsey; Agyemang, Amma; Baker, Sherman; Wilson-Genderson, Maureen

    2012-01-01

    Summary Background Disagreements between cancer patients and their caregivers about treatment and care can affect the patient’s physical and mental well-being. Therefore it is important to understand if oncologists can accurately identify the presence of patient-caregiver decisional conflict. This study examined assessments made by lung cancer patients, their caregivers, and their oncologists regarding patient-caregiver disagreements concerning treatment and care decisions. Participants and methods We assessed the extent to which the patient, caregiver, and oncologist reported disagreement between the patient and the family member regarding treatment decisions in 134 patient-caregiver-oncologist triads. Descriptive statistics were used to explore rates of concordance amongst all possible combinations of raters. Loglinear models were tested for 3-way agreement. Results Most patient-caregiver pairs, 82.1% (n=110), reported agreement concerning presence or absence of decisional conflict. Oncologists were more successful in detecting absence of conflict than the presence of conflict. When the caregiver and the oncologist agreed, it was regarding the absence of conflict (64.9%), rather than the presence of conflict. In 10.6 % (n = 15) of cases, oncologists reported that conflictual relationships negatively impacted their ability to provide patient care. Conclusions Recent models of cancer patient care promote including the caregiver fully in the process while respecting the primacy of the patient’s perspective. However, these models assume that the oncologist will recognize when disagreements exist and be able to assist in conflict resolution. The degree to which the oncologist identified that conflict exists and implications for their ability to provide patient care when familial disagreements existed are discussed. PMID:22405569

  17. Why do clinicians choose the therapies and techniques they do? Exploring clinical decision-making via treatment selections in dysphagia practice.

    PubMed

    McCurtin, Arlene; Healy, Chiara

    2017-02-01

    Speech-language pathologists (SLPs) are assumed to use evidence-based practice to inform treatment decisions. However, the reasoning underpinning treatment selections is not well known. Understanding why SLPs choose the treatments they do may be clarified by exploring the reasoning tied to specific treatments such as dysphagia interventions. An electronic survey methodology was utilised. Participants were accessed via the gatekeepers of two national dysphagia special interest groups representing adult and paediatric populations. Information was elicited on the dysphagia therapies and techniques used and on the reasoning for using/not using therapies. Data was analysed using descriptive and non-parametric statistics. The survey had a 74.8% response rate (n = 116). Consensus in both treatment selections and reasoning supporting treatment decisions was evident. Three favoured interventions (texture modification, thickening liquids, positioning changes) were identified. The reasoning supporting treatment choices centred primarily on client suitability and clinician knowledge. Knowledge reflected both absent knowledge (e.g. training) and accumulated knowledge (clinical experience). Dysphagia practice appears highly-defined, being characterised by group consensus regarding both preferred treatments and the reasoning underpinning treatment selections. Treatment selections are based on two core criteria: client suitability and the SLPs experience/knowledge. Explicit scientific reasoning is less influential than practice-centric influences.

  18. Understanding clinicians' decisions to offer intravenous thrombolytic treatment to patients with acute ischaemic stroke: a protocol for a discrete choice experiment.

    PubMed

    De Brún, Aoife; Flynn, Darren; Joyce, Kerry; Ternent, Laura; Price, Christopher; Rodgers, Helen; Ford, Gary A; Lancsar, Emily; Rudd, Matthew; Thomson, Richard G

    2014-07-09

    Intravenous thrombolysis is an effective emergency treatment for acute ischaemic stroke for patients meeting specific criteria. Approximately 12% of eligible patients in England, Wales and Northern Ireland received thrombolysis in the first quarter of 2013, yet as many as 15% are eligible to receive treatment. Suboptimal use of thrombolysis may have been largely attributable to structural factors; however, with the widespread implementation of 24/7 hyper acute stroke services, continuing variation is likely to reflect differences in clinical decision-making, in particular the influence of ambiguous areas within the guidelines, licensing criteria and research evidence. Clinicians' perceptions about thrombolysis may now exert a greater influence on treatment rates than structural/service factors. This research seeks to elucidate factors influencing thrombolysis decision-making by using patient vignettes to identify (1) patient-related and clinician-related factors that may help to explain variation in treatment and (2) associated trade-offs in decision-making based on the interplay of critical factors. A discrete choice experiment (DCE) will be conducted to better understand how clinicians make decisions about whether or not to offer thrombolysis to patients with acute ischaemic stroke. To inform the design, exploratory work will be undertaken to ensure that (1) all potentially influential factors are considered for inclusion; and (2) to gain insights into the 'grey areas' of patient factors. A fractional factorial design will be used to combine levels of patient factors in vignettes, which will be presented to clinicians to allow estimation of the variable effects on decisions to offer thrombolysis. Ethical approval for this study was obtained from the Newcastle University Research Ethics Committee. The results will be disseminated in peer review publications and at national conferences. Findings will be translated into continuing professional development activities

  19. Understanding clinicians’ decisions to offer intravenous thrombolytic treatment to patients with acute ischaemic stroke: a protocol for a discrete choice experiment

    PubMed Central

    De Brún,, Aoife; Flynn, Darren; Joyce, Kerry; Ternent, Laura; Price, Christopher; Rodgers, Helen; Ford, Gary A; Lancsar, Emily; Rudd, Matthew; Thomson, Richard G

    2014-01-01

    Background Intravenous thrombolysis is an effective emergency treatment for acute ischaemic stroke for patients meeting specific criteria. Approximately 12% of eligible patients in England, Wales and Northern Ireland received thrombolysis in the first quarter of 2013, yet as many as 15% are eligible to receive treatment. Suboptimal use of thrombolysis may have been largely attributable to structural factors; however, with the widespread implementation of 24/7 hyper acute stroke services, continuing variation is likely to reflect differences in clinical decision-making, in particular the influence of ambiguous areas within the guidelines, licensing criteria and research evidence. Clinicians’ perceptions about thrombolysis may now exert a greater influence on treatment rates than structural/service factors. This research seeks to elucidate factors influencing thrombolysis decision-making by using patient vignettes to identify (1) patient-related and clinician-related factors that may help to explain variation in treatment and (2) associated trade-offs in decision-making based on the interplay of critical factors. Methods/analysis A discrete choice experiment (DCE) will be conducted to better understand how clinicians make decisions about whether or not to offer thrombolysis to patients with acute ischaemic stroke. To inform the design, exploratory work will be undertaken to ensure that (1) all potentially influential factors are considered for inclusion; and (2) to gain insights into the ‘grey areas’ of patient factors. A fractional factorial design will be used to combine levels of patient factors in vignettes, which will be presented to clinicians to allow estimation of the variable effects on decisions to offer thrombolysis. Ethics and dissemination Ethical approval for this study was obtained from the Newcastle University Research Ethics Committee. The results will be disseminated in peer review publications and at national conferences. Findings will be

  20. Competing priorities in treatment decision-making: a US national survey of individuals with depression and clinicians who treat depression.

    PubMed

    Barr, Paul J; Forcino, Rachel C; Mishra, Manish; Blitzer, Rachel; Elwyn, Glyn

    2016-01-08

    To identify information priorities for consumers and clinicians making depression treatment decisions and assess shared decision-making (SDM) in routine depression care. 20 questions related to common features of depression treatments were provided. Participants were initially asked to select which features were important, and in a second stage they were asked to rank their top 5 'important features' in order of importance. Clinicians were asked to provide rankings according to both consumer and clinician perspectives. Consumers completed CollaboRATE, a measure of SDM. Multiple logistic regression analysis identified consumer characteristics associated with CollaboRATE scores. Online cross-sectional surveys fielded in September to December 2014. We administered surveys to convenience samples of US adults with depression and clinicians who treat depression. Consumer sampling was targeted to reflect age, gender and educational attainment of adults with depression in the USA. Information priority rankings; CollaboRATE, a 3-item consumer-reported measure of SDM. 972 consumers and 244 clinicians completed the surveys. The highest ranked question for both consumers and clinicians was 'Will the treatment work?' Clinicians were aware of consumers' priorities, yet did not always prioritise that information themselves, particularly insurance coverage and cost of treatment. Only 18% of consumers reported high levels of SDM. Working with a psychiatrist (OR 1.87; 95% CI 1.07 to 3.26) and female gender (OR 2.04; 95% CI 1.25 to 3.34) were associated with top CollaboRATE scores. While clinicians know what information is important to consumers making depression treatment decisions, they do not always address these concerns. This mismatch, coupled with low SDM, adversely affects the quality of depression care. Development of a decision support intervention based on our findings can improve levels of SDM and provide clinicians and consumers with a tool to address the existing

  1. Depression and decision-making capacity for treatment or research: a systematic review

    PubMed Central

    2013-01-01

    Background Psychiatric disorders can pose problems in the assessment of decision-making capacity (DMC). This is so particularly where psychopathology is seen as the extreme end of a dimension that includes normality. Depression is an example of such a psychiatric disorder. Four abilities (understanding, appreciating, reasoning and ability to express a choice) are commonly assessed when determining DMC in psychiatry and uncertainty exists about the extent to which depression impacts capacity to make treatment or research participation decisions. Methods A systematic review of the medical ethical and empirical literature concerning depression and DMC was conducted. Medline, EMBASE and PsycInfo databases were searched for studies of depression and consent and DMC. Empirical studies and papers containing ethical analysis were extracted and analysed. Results 17 publications were identified. The clinical ethics studies highlighted appreciation of information as the ability that can be impaired in depression, indicating that emotional factors can impact on DMC. The empirical studies reporting decision-making ability scores also highlighted impairment of appreciation but without evidence of strong impact. Measurement problems, however, looked likely. The frequency of clinical judgements of lack of DMC in people with depression varied greatly according to acuity of illness and whether judgements are structured or unstructured. Conclusions Depression can impair DMC especially if severe. Most evidence indicates appreciation as the ability primarily impaired by depressive illness. Understanding and measuring the appreciation ability in depression remains a problem in need of further research. PMID:24330745

  2. Decision Making for Healthcare Resource Allocation: Joint v. Separate Decisions on Interacting Interventions.

    PubMed

    Dakin, Helen; Gray, Alastair

    2018-05-01

    Standard guidance for allocating healthcare resources based on cost-effectiveness recommends using different decision rules for independent and mutually exclusive alternatives, although there is some confusion around the definition of "mutually exclusive." This paper reviews the definitions used in the literature and shows that interactions (i.e., non-additive effects, whereby the effect of giving 2 interventions simultaneously does not equal the sum of their individual effects) are the defining feature of mutually exclusive alternatives: treatments cannot be considered independent if the costs and/or benefits of one treatment are affected by the other treatment. The paper then identifies and categorizes the situations in which interventions are likely to have non-additive effects, including interventions targeting the same goal or clinical event, or life-saving interventions given to overlapping populations. We demonstrate that making separate decisions on interventions that have non-additive effects can prevent us from maximizing health gained from the healthcare budget. In contrast, treating combinations of independent options as though they were "mutually exclusive" makes the analysis more complicated but does not affect the conclusions. Although interactions are considered by the World Health Organization, other decision makers, such as the National Institute for Health and Care Excellence (NICE), currently make independent decisions on treatments likely to have non-additive effects. We propose a framework by which interactions could be considered when selecting, prioritizing, and appraising healthcare technologies to ensure efficient, evidence-based decision making.

  3. Decision Making for Healthcare Resource Allocation: Joint v. Separate Decisions on Interacting Interventions

    PubMed Central

    Dakin, Helen; Gray, Alastair

    2018-01-01

    Standard guidance for allocating healthcare resources based on cost-effectiveness recommends using different decision rules for independent and mutually exclusive alternatives, although there is some confusion around the definition of “mutually exclusive.” This paper reviews the definitions used in the literature and shows that interactions (i.e., non-additive effects, whereby the effect of giving 2 interventions simultaneously does not equal the sum of their individual effects) are the defining feature of mutually exclusive alternatives: treatments cannot be considered independent if the costs and/or benefits of one treatment are affected by the other treatment. The paper then identifies and categorizes the situations in which interventions are likely to have non-additive effects, including interventions targeting the same goal or clinical event, or life-saving interventions given to overlapping populations. We demonstrate that making separate decisions on interventions that have non-additive effects can prevent us from maximizing health gained from the healthcare budget. In contrast, treating combinations of independent options as though they were “mutually exclusive” makes the analysis more complicated but does not affect the conclusions. Although interactions are considered by the World Health Organization, other decision makers, such as the National Institute for Health and Care Excellence (NICE), currently make independent decisions on treatments likely to have non-additive effects. We propose a framework by which interactions could be considered when selecting, prioritizing, and appraising healthcare technologies to ensure efficient, evidence-based decision making. PMID:29683792

  4. The physician-patient encounter: the physician as a perfect agent for the patient versus the informed treatment decision-making model.

    PubMed

    Gafni, A; Charles, C; Whelan, T

    1998-08-01

    Assuming a goal of arriving at a treatment decision which is based on the physician's knowledge and the patient's preferences, we discuss the feasibility of implementing two treatment decision-making models: (1) the physician as a perfect agent for the patient, and (2) the informed treatment decision-making models. Both models fall under the rubric of agency models, however, the requirements from the physician and the patient are different. An important distinction between the two models is that in the former the patient delegates authority to her doctor to make medical decisions and thus the challenge is to encourage the physician to find out the patient's preferences. In the latter, the patient retains the authority to make medical decisions and the physician role is that of information transfer. The challenge here is to encourage the physician to transfer the knowledge in a clear and nonbiased way. We argue that the choice of model depends among other things on the ease of implementation (e.g., is it simpler to transfer patient's preferences to doctors or to transfer technical knowledge to patients?). Also the choice of treatment decision-making model is likely to have an impact on the type of incentives or regulations (i.e., contracts) needed to promote the chosen model. We show that in theory both models result in the same outcome. We argue that the approach of transferring information to the patient is easier (but not easy) and, hence, more feasible than transferring each patient's preferences to the physician in each medical encounter. We also argue that because better "technology" exists to transfer medical information to patients and time costs are involved in both tasks (i.e. transferring preferences or information), it is more feasible to design contracts to motivate physicians to transfer information to patients than to design contracts to motivate physicians to find out their patients' utility functions. We illustrate our arguments using a clinical

  5. Data-driven freeway performance evaluation framework for project prioritization and decision making.

    DOT National Transportation Integrated Search

    2017-01-01

    This report describes methods that potentially can be incorporated into the performance monitoring and planning processes for freeway performance evaluation and decision making. Reliability analysis was conducted on the selected I-15 corridor by empl...

  6. Data-driven freeway performance evaluation framework for project prioritization and decision making.

    DOT National Transportation Integrated Search

    2015-03-01

    This report describes methods that potentially can be incorporated into the performance monitoring and planning : processes for freeway performance evaluation and decision making. Reliability analysis is conducted on the selected : I-15 corridor by e...

  7. Performance-Driven Budgeting: The Example of New York City's Schools. ERIC Digest.

    ERIC Educational Resources Information Center

    Siegel, Dorothy

    This digest examines a completed pilot program in performance-driven budgeting (PDB) in the New York City public-school system. PDB links school-level budgeting and school planning; that is, decisions about resources must be aligned with school-developed instructional-improvement plans. The digest highlights how PDB came about; its primary goal;…

  8. Recent progress in relapsed multiple myeloma therapy: implications for treatment decisions.

    PubMed

    Moreau, Philippe; de Wit, Edwin

    2017-10-01

    The availability of novel therapies for the treatment of multiple myeloma has had a dramatic impact on the depth of response that can be expected on initial treatment. Despite these advances, disease relapse remains inevitable in most patients and brings with it a different set of priorities for therapy. The most recent wave of novel agents may have a particular impact in the relapsed setting. In this review, we examine the evidence currently available from clinical trials for the use of novel agents, particularly in the formation of triplet therapy. We consider data supporting the addition of the proteasome inhibitors carfilzomib and ixazomib, or the monoclonal antibodies elotuzumab or daratumumab, to a treatment backbone of lenalidomide and dexamethasone. The clinical data set is less well developed for the addition of a third agent to the combination of bortezomib and dexamethasone; nonetheless, data are presented supporting the addition of the histone deacetylase inhibitor panobinostat, or elotuzumab or daratumumab. While acknowledging the lack of head-to-head data on which to base comparisons between the numerous regimens, we collate the latest data in order to provide a basis on which to make clinical decisions in this rapidly advancing field. © 2017 John Wiley & Sons Ltd.

  9. Heuristics in Managing Complex Clinical Decision Tasks in Experts’ Decision Making

    PubMed Central

    Islam, Roosan; Weir, Charlene; Del Fiol, Guilherme

    2016-01-01

    Background Clinical decision support is a tool to help experts make optimal and efficient decisions. However, little is known about the high level of abstractions in the thinking process for the experts. Objective The objective of the study is to understand how clinicians manage complexity while dealing with complex clinical decision tasks. Method After approval from the Institutional Review Board (IRB), three clinical experts were interviewed the transcripts from these interviews were analyzed. Results We found five broad categories of strategies by experts for managing complex clinical decision tasks: decision conflict, mental projection, decision trade-offs, managing uncertainty and generating rule of thumb. Conclusion Complexity is created by decision conflicts, mental projection, limited options and treatment uncertainty. Experts cope with complexity in a variety of ways, including using efficient and fast decision strategies to simplify complex decision tasks, mentally simulating outcomes and focusing on only the most relevant information. Application Understanding complex decision making processes can help design allocation based on the complexity of task for clinical decision support design. PMID:27275019

  10. Guardianship and End-of-Life Decision Making

    PubMed Central

    Cohen, Andrew B.; Wright, Megan S.; Cooney, Leo; Fried, Terri

    2015-01-01

    As the population ages, more adults will develop impaired decision-making capacity and have no family members or friends available to make medical decisions on their behalf. In such situations, a professional guardian is often appointed by the court. This is an official who has no pre-existing relationship with the impaired individual but is paid to serve as a surrogate decision-maker. When a professional guardian is faced with decisions concerning life-sustaining treatment, substituted judgment may be impossible, and reports have repeatedly suggested that guardians are reluctant to make the decision to limit care. Clinicians are well positioned to assist guardians with these decisions and safeguard the rights of the vulnerable persons they represent. Doing so effectively requires knowledge of the laws governing end-of-life decisions by guardians. Clinicians, however, are often uncertain about whether guardians are empowered to withhold treatment and when their decisions require judicial review. To address this issue, we analyzed state guardianship statutes and reviewed recent legal cases in order to characterize the authority of a guardian over choices about end-of-life treatment. We found that a large majority of state guardianship statutes have no language about end-of-life decisions and identified just five legal cases over the past decade that addressed a guardian’s authority over these decisions, with only one case providing a broad framework applicable to clinical practice. Work to improve end-of-life decision-making by guardians may benefit from a multi-disciplinary effort to develop comprehensive standards that can guide clinicians and guardians when treatment decisions need to be made. PMID:26258634

  11. Trends in Media Reports of Celebrities' Breast Cancer Treatment Decisions.

    PubMed

    Sabel, Michael S; Dal Cin, Sonya

    2016-09-01

    Although the increasing use of bilateral mastectomies is multifaceted, one source of influence may be the media, including coverage of celebrity breast cancer treatment. We examined trends in media reporting that might impact decision making among women with breast cancer. We performed searches of two comprehensive online databases for articles from major U.S. print publications mentioning celebrities and terms related to the word "breast" and terms related to cancer treatment. Automated analysis using custom-created dictionaries was used to determine word frequencies over time. An analysis of net media tone was conducted using Lexicoder Sentiment Dictionaries. Celebrity breast cancer media reports significantly increased since 2004 (p < .05). Dramatic increases in bilateral mastectomy articles occurred in 2008-2009, with an increase in net positive tone. The surgical treatment was significantly more likely to be mentioned when a celebrity had bilateral mastectomies than unilateral mastectomy or breast conservation (44.8 vs 26.1 %, p < .001). The majority (60 %) of articles on celebrities undergoing bilateral mastectomy for cancer had no mention of genetics, family history, or risk. Media reports of celebrity breast cancer present a bias toward bilateral mastectomies in both frequency and tone. This may sway public opinion, particularly when factors such as risk and genetics are excluded. Surgeons need to work with the media to improve cancer reporting and identify methods to better educate patients prior to surgical consultations.

  12. Patient-related factors and circumstances surrounding decisions to forego life-sustaining treatment, including intensive care unit admission refusal.

    PubMed

    Reignier, Jean; Dumont, Romain; Katsahian, Sandrine; Martin-Lefevre, Laurent; Renard, Benoit; Fiancette, Maud; Lebert, Christine; Clementi, Eva; Bontemps, Frederic

    2008-07-01

    To assess decisions to forego life-sustaining treatment (LST) in patients too sick for intensive care unit (ICU) admission, comparatively to patients admitted to the ICU. Prospective observational cohort study. A medical-surgical ICU. Consecutive patients referred to the ICU during a one-yr period. None. Of 898 triaged patients, 147 were deemed too well to benefit from ICU admission. Decisions to forego LST were made in 148 of 666 (22.2%) admitted patients and in all 85 patients deemed too sick for ICU admission. Independent predictors of decisions to forego LST at ICU refusal rather than after ICU admission were: age; underlying disease; living in an institution; preexisting cognitive impairment; admission for medical reasons; and acute cardiac failure, acute central neurologic illness, or sepsis. Hospital mortality after decisions to forego LST was not significantly different in refused and admitted patients (77.5% vs. 86.5%; p = .1). Decisions to forego LST were made via telephone in 58.8% of refused patients and none of the admitted patients. Nurses caring for the patient had no direct contact with the ICU physicians for 62.3% of the decisions in refused patients, whereas meetings between nurses and physicians occurred in 70.3% of decisions to forego LST in the ICU. Patients or relatives were involved in 28.2% of decisions to forego LST at ICU refusal compared with 78.4% of decisions to forego LST in ICU patients (p < .001). All patients deemed too sick for ICU admission had decisions to forego LST. These decisions were made without direct patient examination in two-thirds of refused patients (vs. none of admitted patients) and were associated with less involvement of nurses and relatives compared with decisions in admitted patients. Further work is needed to improve decisions to forego LST made under the distinctive circumstances of triage.

  13. Assessment of Unconscious Decision Aids Applied to Complex Patient-Centered Medical Decisions

    PubMed Central

    Manigault, Andrew Wilhelm; Whillock, Summer Rain

    2015-01-01

    Background To improve patient health, recent research urges for medical decision aids that are designed to enhance the effectiveness of specific medically related decisions. Many such decisions involve complex information, and decision aids that independently use deliberative (analytical and slower) or intuitive (more affective and automatic) cognitive processes for such decisions result in suboptimal decisions. Unconscious thought can arguably use both intuitive and deliberative (slow and analytic) processes, and this combination may further benefit complex patient (or practitioner) decisions as medical decision aids. Indeed, mounting research demonstrates that individuals render better decisions generally if they are distracted from thinking consciously about complex information after it is presented (but can think unconsciously), relative to thinking about that information consciously or not at all. Objective The current research tested whether the benefits of unconscious thought processes can be replicated using an Internet platform for a patient medical decision involving complex information. This research also explored the possibility that judgments reported after a period of unconscious thought are actually the result of a short period of conscious deliberation occurring during the decision report phase. Methods A total of 173 participants in a Web-based experiment received information about four medical treatments, the best (worst) associated with mostly positive (negative) side-effects/attributes and the others with equal positive-negative ratios. Next, participants were either distracted for 3 minutes (unconscious thought), instructed to think about the information for 3 minutes (conscious thought), or moved directly to the decision task (immediate decision). Finally, participants reported their choice of, and attitudes toward, the treatments while experiencing high, low, or no cognitive load, which varied their ability to think consciously while

  14. The factors influencing the decision making of operative treatment for proximal humeral fractures.

    PubMed

    Hageman, Michiel G J S; Jayakumar, Prakash; King, John D; Guitton, Thierry G; Doornberg, Job N; Ring, David

    2015-01-01

    The factors influencing the decision making of operative treatment for fractures of the proximal humerus are debated. We hypothesized that there is no difference in treatment recommendations between surgeons shown radiographs alone and those shown radiographs and patient information. Secondarily, we addressed (1) factors associated with a recommendation for operative treatment, (2) factors associated with recommendation for arthroplasty, (3) concordance with the recommendations of the treating surgeons, and (4) factors affecting the inter-rater reliability of treatment recommendations. A total of 238 surgeons of the Science of Variation Group rated 40 radiographs of patients with proximal humerus fractures. Participants were randomized to receive information about the patient and mechanism of injury. The response variables included the choice of treatment (operative vs nonoperative) and the percentage of matches with the actual treatment. Participants who received patient information recommended operative treatment less than those who received no information. The patient information that had the greatest influence on treatment recommendations included age (55%) and fracture mechanism (32%). The only other factor associated with a recommendation for operative treatment was region of practice. There was no significant difference between participants who were and were not provided with information regarding agreement with the actual treatment (operative vs nonoperative) provided by the treating surgeon. Patient information-older age in particular-is associated with a higher likelihood of recommending nonoperative treatment than radiographs alone. Clinical information did not improve agreement of the Science of Variation Group with the actual treatment or the generally poor interobserver agreement on treatment recommendations. Copyright © 2015 Journal of Shoulder and Elbow Surgery Board of Trustees. Published by Elsevier Inc. All rights reserved.

  15. Low-Burden Strategies to Promote Smoking Cessation Treatment Among Patients With Serious Mental Illness.

    PubMed

    Chen, Li-Shiun; Baker, Timothy B; Korpecki, Jeanette M; Johnson, Kelly E; Hook, Jaime P; Brownson, Ross C; Bierut, Laura J

    2018-06-01

    Patients with serious mental illness have high smoking prevalence and early mortality. Inadequate implementation of evidence-based smoking cessation treatment in community mental health centers (CMHCs) contributes to this disparity. This column describes a study of the effects of quality improvement strategies on treatment and cessation outcomes among patients with serious mental illness at four CMHCs. Two low-burden strategies, decision support and academic detailing with data-driven feedback, were implemented in the CMHCs' clinics from 2014 to 2016. Pre- and postimplementation data from pharmacy and medical records were analyzed. The percentage of patients receiving cessation medication increased from 5% to 18% (p≤.001), and smoking prevalence decreased from 57% to 54% (p≤.001). This quality improvement approach holds great potential for increasing the level of smoking cessation care for patients treated in CMHC settings. Decision support and academic detailing with feedback may be effective strategies to promote best practices.

  16. Integrating Strategic and Operational Decision Making Using Data-Driven Dashboards: The Case of St. Joseph Mercy Oakland Hospital.

    PubMed

    Jack Weiner; Balijepally, Venugopal; Tanniru, Mohan

    2015-01-01

    Hospitals have invested and continue to invest heavily in building information systems to support operations at various levels of administration. These systems generate a lot of data but fail to effectively convert these data into actionable information for decision makers. Such ineffectiveness often is attributed to a lack of alignment between strategic planning and information technology (IT) initiatives supporting operational goals. We present a case study that illustrates how the use of digital dashboards at St. Joseph Mercy Oakland (SJMO) Hospital in Pontiac, Michigan, was instrumental in supporting such an alignment. Driven by a focus on key performance indicators (KPIs), dashboard applications also led to other tangible and intangible benefits. An ability to track KPIs over time and against established targets, with drill-down capabilities, allowed leadership to hold staff members accountable for achieving their performance targets. By displaying the dashboards in prominent locations (such as operational unit floors, the physicians' cafeteria, and nursing stations), SJMO ushered in transparency in the planning and monitoring processes. The need to develop KPI metrics and drive data collection efforts became ingrained in the work ethos of people at every level of the organization. Although IT-enabled dashboards have been instrumental in supporting this cultural transformation, the focus of investment was the ability of technology to make collective vision and action the responsibility of all stakeholders.

  17. 'My kidneys, my choice, decision aid': supporting shared decision making.

    PubMed

    Fortnum, Debbie; Smolonogov, Tatiana; Walker, Rachael; Kairaitis, Luke; Pugh, Debbie

    2015-06-01

    For patients with chronic kidney disease (CKD) who are progressing to end-stage kidney disease (ESKD) a decision of whether to undertake dialysis or conservative care is a critical component of the patient journey. Shared decision making for complex decisions such as this could be enhanced by a decision aid, a practice which is well utilised in other disciplines but limited for nephrology. A multidisciplinary team in Australia and New Zealand (ANZ) utilised current decision-making theory and best practice to develop the 'My Kidneys, My Choice', a decision aid for the treatment of kidney disease. A patient-centred, five-sectioned tool is now complete and freely available to all ANZ units to support the ESKD education and shared decision-making process. Distribution and education have occurred across ANZ and evaluation of the decision aid in practice is in the first phase. Development of a new tool such as an ESKD decision aid requires vision, multidisciplinary input and ongoing implementation resources. This tool is being integrated into ANZ, ESKD education practice and is promoting the philosophy of shared decision making. © 2014 European Dialysis and Transplant Nurses Association/European Renal Care Association.

  18. Model driven development of clinical information sytems using openEHR.

    PubMed

    Atalag, Koray; Yang, Hong Yul; Tempero, Ewan; Warren, Jim

    2011-01-01

    openEHR and the recent international standard (ISO 13606) defined a model driven software development methodology for health information systems. However there is little evidence in the literature describing implementation; especially for desktop clinical applications. This paper presents an implementation pathway using .Net/C# technology for Microsoft Windows desktop platforms. An endoscopy reporting application driven by openEHR Archetypes and Templates has been developed. A set of novel GUI directives has been defined and presented which guides the automatic graphical user interface generator to render widgets properly. We also reveal the development steps and important design decisions; from modelling to the final software product. This might provide guidance for other developers and form evidence required for the adoption of these standards for vendors and national programs alike.

  19. A Conceptual Analytics Model for an Outcome-Driven Quality Management Framework as Part of Professional Healthcare Education.

    PubMed

    Hervatis, Vasilis; Loe, Alan; Barman, Linda; O'Donoghue, John; Zary, Nabil

    2015-10-06

    Preparing the future health care professional workforce in a changing world is a significant undertaking. Educators and other decision makers look to evidence-based knowledge to improve quality of education. Analytics, the use of data to generate insights and support decisions, have been applied successfully across numerous application domains. Health care professional education is one area where great potential is yet to be realized. Previous research of Academic and Learning analytics has mainly focused on technical issues. The focus of this study relates to its practical implementation in the setting of health care education. The aim of this study is to create a conceptual model for a deeper understanding of the synthesizing process, and transforming data into information to support educators' decision making. A deductive case study approach was applied to develop the conceptual model. The analytics loop works both in theory and in practice. The conceptual model encompasses the underlying data, the quality indicators, and decision support for educators. The model illustrates how a theory can be applied to a traditional data-driven analytics approach, and alongside the context- or need-driven analytics approach.

  20. A Conceptual Analytics Model for an Outcome-Driven Quality Management Framework as Part of Professional Healthcare Education

    PubMed Central

    Loe, Alan; Barman, Linda; O'Donoghue, John; Zary, Nabil

    2015-01-01

    Background Preparing the future health care professional workforce in a changing world is a significant undertaking. Educators and other decision makers look to evidence-based knowledge to improve quality of education. Analytics, the use of data to generate insights and support decisions, have been applied successfully across numerous application domains. Health care professional education is one area where great potential is yet to be realized. Previous research of Academic and Learning analytics has mainly focused on technical issues. The focus of this study relates to its practical implementation in the setting of health care education. Objective The aim of this study is to create a conceptual model for a deeper understanding of the synthesizing process, and transforming data into information to support educators’ decision making. Methods A deductive case study approach was applied to develop the conceptual model. Results The analytics loop works both in theory and in practice. The conceptual model encompasses the underlying data, the quality indicators, and decision support for educators. Conclusions The model illustrates how a theory can be applied to a traditional data-driven analytics approach, and alongside the context- or need-driven analytics approach. PMID:27731840

  1. Shared Decision-Making in Youth Mental Health Care: Using the Evidence to Plan Treatments Collaboratively.

    PubMed

    Langer, David A; Jensen-Doss, Amanda

    2016-12-02

    The shared decision-making (SDM) model is one in which providers and consumers of health care come together as collaborators in determining the course of care. The model is especially relevant to youth mental health care, when planning a treatment frequently entails coordinating both youth and parent perspectives, preferences, and goals. The present article first provides the historical context of the SDM model and the rationale for increasing our field's use of SDM when planning psychosocial treatments for youth and families. Having established the potential utility of SDM, the article then discusses how to apply the SDM model to treatment planning for youth psychotherapy, proposing a set of steps consistent with the model and considerations when conducting SDM with youth and families.

  2. Shared Decision-Making in Youth Mental Health Care: Using the Evidence to Plan Treatments Collaboratively

    PubMed Central

    Langer, David A.; Jensen-Doss, Amanda

    2017-01-01

    The shared decision-making (SDM) model is one in which providers and consumers of health care come together as collaborators in determining the course of care. The model is especially relevant to youth mental health care, when planning a treatment frequently entails coordinating both youth and parent perspectives, preferences, and goals. The present paper first provides the historical context of the SDM model and the rationale for increasing our field's use of SDM when planning psychosocial treatments for youth and families. Having established the potential utility of SDM, the paper then discusses how to apply the SDM model to treatment planning for youth psychotherapy, proposing a set of steps consistent with the model and considerations when conducting SDM with youth and families. PMID:27911081

  3. Effect of heat treatment on interface driven magnetic properties of CoFe films

    NASA Astrophysics Data System (ADS)

    Singh, Akhilesh Kr.; Hsu, Jen-Hwa

    2017-06-01

    We report systematic studies on non-magnetic Ta underlayer and cap layer driven microstructural and magnetic properties at a wide temperature range for CoFe films. All the films were grown at room temperature and post annealed at different annealing temperatures (TA = 200 °C, 250 °C, 300 °C, 350 °C, 400 °C and 450 °C). The in-plane magnetic hysteresis (M-H) loops of 10 nm thick CoFe single layer films, grown directly on thermally oxidized Si substrate, exhibit anisotropic nature for TA above 250 °C. However, the CoFe (10 nm) films grown on the 5 nm thick Ta underlayer show reduced anisotropy. Moreover, with underlayer and cap layers (2 nm) the anisotropy is disappeared. The in-plane coercivity (HC) shows a strong variation with TA, underlayer and cap layers. HC increases significantly with Ta underlayer and cap layers. The out of plane M-H loops exhibit increase in the remanence magnetization and squareness with both Ta underlayer and cap layers due to transition of in-plane magnetization component to the out of plane direction. The atomic force microscopic observations revealed that grain/particle size and shape depend strongly on TA and Ta layers. Moreover, a large reduction in the surface roughness is observed with the Ta cap layer. The magnetic domain patterns depend on the TA, and Ta layers. However, for Ta/CoFe/Ta films no clear domains were observed for all the TA. Hence, the Ta cap layers not only protect the CoFe magnetic layer against the heat treatment, but also show a smooth surface at a wide temperature range. These results could be discussed on the basis of random anisotropy model, TA, underlayer and cap layers driven microstructure and magnetization orientation of the CoFe films.

  4. Localized prostate cancer treatment decision-making information online: improving its effectiveness and dissemination for nonprofit and government-supported organizations.

    PubMed

    Silk, Kami J; Perrault, Evan K; Nazione, Samantha; Pace, Kristin; Hager, Polly; Springer, Steven

    2013-12-01

    The current study reports findings from evaluation research conducted to identify how online prostate cancer treatment decision-making information can be both improved and more effectively disseminated to those who need it most. A multi-method, multi-target approach was used and guided by McGuire's Communication Matrix Model. Focus groups (n = 31) with prostate cancer patients and their family members, and in-depth interviews with physicians (n = 8), helped inform a web survey (n = 89). Results indicated that physicians remain a key information source for medical advice and the Internet is a primary channel used to help make informed prostate cancer treatment decisions. Participants reported a need for more accessible information related to treatment options and treatment side effects. Additionally, physicians indicated that the best way for agencies to reach them with new information to deliver to patients is by contacting them directly and meeting with them one-on-one. Advice for organizations to improve their current prostate cancer web offerings and further ways to improve information dissemination are discussed.

  5. The anatomy of clinical decision-making in multidisciplinary cancer meetings

    PubMed Central

    Soukup, Tayana; Petrides, Konstantinos V.; Lamb, Benjamin W.; Sarkar, Somita; Arora, Sonal; Shah, Sujay; Darzi, Ara; Green, James S. A.; Sevdalis, Nick

    2016-01-01

    Abstract In the UK, treatment recommendations for patients with cancer are routinely made by multidisciplinary teams in weekly meetings. However, their performance is variable. The aim of this study was to explore the underlying structure of multidisciplinary decision-making process, and examine how it relates to team ability to reach a decision. This is a cross-sectional observational study consisting of 1045 patient reviews across 4 multidisciplinary cancer teams from teaching and community hospitals in London, UK, from 2010 to 2014. Meetings were chaired by surgeons. We used a validated observational instrument (Metric for the Observation of Decision-making in Cancer Multidisciplinary Meetings) consisting of 13 items to assess the decision-making process of each patient discussion. Rated on a 5-point scale, the items measured quality of presented patient information, and contributions to review by individual disciplines. A dichotomous outcome (yes/no) measured team ability to reach a decision. Ratings were submitted to Exploratory Factor Analysis and regression analysis. The exploratory factor analysis produced 4 factors, labeled “Holistic and Clinical inputs” (patient views, psychosocial aspects, patient history, comorbidities, oncologists’, nurses’, and surgeons’ inputs), “Radiology” (radiology results, radiologists’ inputs), “Pathology” (pathology results, pathologists’ inputs), and “Meeting Management” (meeting chairs’ and coordinators’ inputs). A negative cross-loading was observed from surgeons’ input on the fourth factor with a follow-up analysis showing negative correlation (r = −0.19, P < 0.001). In logistic regression, all 4 factors predicted team ability to reach a decision (P < 0.001). Hawthorne effect is the main limitation of the study. The decision-making process in cancer meetings is driven by 4 underlying factors representing the complete patient profile and contributions to case review by all core

  6. Computerized Decision Aids for Shared Decision Making in Serious Illness: Systematic Review.

    PubMed

    Staszewska, Anna; Zaki, Pearl; Lee, Joon

    2017-10-06

    Shared decision making (SDM) is important in achieving patient-centered care. SDM tools such as decision aids are intended to inform the patient. When used to assist in decision making between treatments, decision aids have been shown to reduce decisional conflict, increase ease of decision making, and increase modification of previous decisions. The purpose of this systematic review is to assess the impact of computerized decision aids on patient-centered outcomes related to SDM for seriously ill patients. PubMed and Scopus databases were searched to identify randomized controlled trials (RCTs) that assessed the impact of computerized decision aids on patient-centered outcomes and SDM in serious illness. Six RCTs were identified and data were extracted on study population, design, and results. Risk of bias was assessed by a modified Cochrane Risk of Bias Tool for Quality Assessment of Randomized Controlled Trials. Six RCTs tested decision tools in varying serious illnesses. Three studies compared different computerized decision aids against each other and a control. All but one study demonstrated improvement in at least one patient-centered outcome. Computerized decision tools may reduce unnecessary treatment in patients with low disease severity in comparison with informational pamphlets. Additionally, electronic health record (EHR) portals may provide the opportunity to manage care from the home for individuals affected by illness. The quality of decision aids is of great importance. Furthermore, satisfaction with the use of tools is associated with increased patient satisfaction and reduced decisional conflict. Finally, patients may benefit from computerized decision tools without the need for increased physician involvement. Most computerized decision aids improved at least one patient-centered outcome. All RCTs identified were at a High Risk of Bias or Unclear Risk of Bias. Effort should be made to improve the quality of RCTs testing SDM aids in serious

  7. Effective crisis decision-making.

    PubMed

    Kaschner, Holger

    2017-01-01

    When an organisation's reputation is at stake, crisis decision-making (CDM) is challenging and prone to failure. Most CDM schemes are strong at certain aspects of the overall CDM process, but almost none are strong at all of them. This paper defines criteria for good CDM schemes, analyses common approaches and introduces an alternative, stakeholder-driven scheme. Focusing on the most important stakeholders and directing any actions to preserve the relationships with them is crucial. When doing so, the interdependencies between the stakeholders must be identified and considered. Without knowledge of the sometimes less than obvious links, wellmeaning actions can cause adverse effects, so a cross-check for the impacts of potential options is recommended before making the final decision. The paper also gives recommendations on how to implement these steps at any organisation in order to enhance the quality of CDM and thus protect the organisation's reputation.

  8. FENTON-DRIVEN REGENERATION OF GRANULAR ACTIVATED CARBON: A TECHNOLOGY OVERVIEW

    EPA Science Inventory

    A Fenton-driven mechanism for regenerating spent granular activated carbon (GAC) involves the combined, synergistic use of two reliable and well established treatment technologies - adsorption onto activated carbon and Fenton oxidation. During carbon adsorption treatment, enviro...

  9. Social-economical decision making in current and remitted major depression.

    PubMed

    Pulcu, E; Thomas, E J; Trotter, P D; McFarquhar, M; Juhasz, G; Sahakian, B J; Deakin, J F W; Anderson, I M; Zahn, R; Elliott, R

    2015-04-01

    Prosocial emotions related to self-blame are important in guiding human altruistic decisions. These emotions are elevated in major depressive disorder (MDD), such that MDD has been associated with guilt-driven pathological hyper-altruism. However, the impact of such emotional impairments in MDD on different types of social decision-making is unknown. In order to address this issue, we investigated different kinds of altruistic behaviour (interpersonal cooperation and fund allocation, altruistic punishment and charitable donation) in 33 healthy subjects, 35 patients in full remission (unmedicated) and 24 currently depressed patients (11 on medication) using behavioural-economical paradigms. We show a significant main effect of clinical status on altruistic decisions (p = 0.04) and a significant interaction between clinical status and type of altruistic decisions (p = 0.03). More specifically, symptomatic patients defected significantly more in the Prisoner's Dilemma game (p < 0.05) and made significantly lower charitable donations, whether or not these incurred a personal cost (p < 0.05 and p < 0.01, respectively). Currently depressed patients also reported significantly higher guilt elicited by receiving unfair financial offers in the Ultimatum Game (p < 0.05). Currently depressed individuals were less altruistic in both a charitable donation and an interpersonal cooperation task. Taken together, our results challenge the guilt-driven pathological hyper-altruism hypothesis in depression. There were also differences in both current and remitted patients in the relationship between altruistic behaviour and pathological self-blaming, suggesting an important role for these emotions in moral and social decision-making abnormalities in depression.

  10. How do patients between the age of 65 and 75 use a web-based decision aid for treatment choice in localized prostate cancer?

    PubMed

    Schrijvers, Jessie; Vanderhaegen, Joke; Van Poppel, Hendrik; Haustermans, Karin; Van Audenhove, Chantal

    2013-08-01

    This study was designed to evaluate the use of a web-based decision aid by a 65plus patient group in their decision-making process for treatment of localized prostate cancer. Of particular interest was the use of technology features such as patients' statements, comparative tables, and a values clarification tool. One hundred men from the University Hospital of Leuven campus, Gasthuisberg, were invited to use the web-based decision aid in their decision-making process. Twenty-six men were excluded based on non- or limited use of the decision aid. Of the remaining 74 men, user specifications, decision aid surfing characteristics by means of web-log data, and especially the use of technology features were analyzed. Men spent on average 30 minutes on the web-based decision aid. Most time was spent on the pages with information on treatment options. These pages were also most frequently accessed. The use of the feature 'comparative tables' was the highest, followed by the 'values clarification tool'. According to age (<70 or >70 years) differences were observed for the time spent on the decision aid, the pages accessed, and the use of the technology features. Despite concerns about the usability of a web-based decision aid for elderly patients, these results indicated that the majority of 65plus persons with good internet skills use a web-based decision aid as well as its incorporated technology features. © 2013 Wiley Publishing Asia Pty Ltd and Chinese Cochrane Center, West China Hospital of Sichuan University.

  11. Decision Making Under Objective Risk Conditions-a Review of Cognitive and Emotional Correlates, Strategies, Feedback Processing, and External Influences.

    PubMed

    Schiebener, Johannes; Brand, Matthias

    2015-06-01

    While making decisions under objective risk conditions, the probabilities of the consequences of the available options are either provided or calculable. Brand et al. (Neural Networks 19:1266-1276, 2006) introduced a model describing the neuro-cognitive processes involved in such decisions. In this model, executive functions associated with activity in the fronto-striatal loop are important for developing and applying decision-making strategies, and for verifying, adapting, or revising strategies according to feedback. Emotional rewards and punishments learned from such feedback accompany these processes. In this literature review, we found support for the role of executive functions, but also found evidence for the importance of further cognitive abilities in decision making. Moreover, in addition to reflective processing (driven by cognition), decisions can be guided by impulsive processing (driven by anticipation of emotional reward and punishment). Reflective and impulsive processing may interact during decision making, affecting the evaluation of available options, as both processes are affected by feedback. Decision-making processes are furthermore modulated by individual attributes (e.g., age), and external influences (e.g., stressors). Accordingly, we suggest a revised model of decision making under objective risk conditions.

  12. Bayesian additive decision trees of biomarker by treatment interactions for predictive biomarker detection and subgroup identification.

    PubMed

    Zhao, Yang; Zheng, Wei; Zhuo, Daisy Y; Lu, Yuefeng; Ma, Xiwen; Liu, Hengchang; Zeng, Zhen; Laird, Glen

    2017-10-11

    Personalized medicine, or tailored therapy, has been an active and important topic in recent medical research. Many methods have been proposed in the literature for predictive biomarker detection and subgroup identification. In this article, we propose a novel decision tree-based approach applicable in randomized clinical trials. We model the prognostic effects of the biomarkers using additive regression trees and the biomarker-by-treatment effect using a single regression tree. Bayesian approach is utilized to periodically revise the split variables and the split rules of the decision trees, which provides a better overall fitting. Gibbs sampler is implemented in the MCMC procedure, which updates the prognostic trees and the interaction tree separately. We use the posterior distribution of the interaction tree to construct the predictive scores of the biomarkers and to identify the subgroup where the treatment is superior to the control. Numerical simulations show that our proposed method performs well under various settings comparing to existing methods. We also demonstrate an application of our method in a real clinical trial.

  13. "Racial bias in mock juror decision-making: A meta-analytic review of defendant treatment": Correction to Mitchell et al. (2005).

    PubMed

    2017-06-01

    Reports an error in "Racial Bias in Mock Juror Decision-Making: A Meta-Analytic Review of Defendant Treatment" by Tara L. Mitchell, Ryann M. Haw, Jeffrey E. Pfeifer and Christian A. Meissner ( Law and Human Behavior , 2005[Dec], Vol 29[6], 621-637). In the article, all of the numbers in Appendix A were correct, but the signs were reversed for z' in a number of studies, which are listed. Also, in Appendix B, some values were incorrect, some signs were reversed, and some values were missing. The corrected appendix is included. (The following abstract of the original article appeared in record 2006-00971-001.) Common wisdom seems to suggest that racial bias, defined as disparate treatment of minority defendants, exists in jury decision-making, with Black defendants being treated more harshly by jurors than White defendants. The empirical research, however, is inconsistent--some studies show racial bias while others do not. Two previous meta-analyses have found conflicting results regarding the existence of racial bias in juror decision-making (Mazzella & Feingold, 1994, Journal of Applied Social Psychology, 24, 1315-1344; Sweeney & Haney, 1992, Behavioral Sciences and the Law, 10, 179-195). This research takes a meta-analytic approach to further investigate the inconsistencies within the empirical literature on racial bias in juror decision-making by defining racial bias as disparate treatment of racial out-groups (rather than focusing upon the minority group alone). Our results suggest that a small, yet significant, effect of racial bias in decision-making is present across studies, but that the effect becomes more pronounced when certain moderators are considered. The state of the research will be discussed in light of these findings. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  14. City Connects Prompts Data-Driven Action in Community Schools in the Bronx

    ERIC Educational Resources Information Center

    Haywoode, Alyssa

    2018-01-01

    Community schools have a long history of helping students succeed in school by addressing the problems they face outside of school. But without specific data on students and the full range of their needs, community schools cannot be as effective as they would like to be. Driven by the desire to make more data-informed decisions, the Children's Aid…

  15. A Life Below the Threshold?: Examining Conflict Between Ethical Principles and Parental Values in Neonatal Treatment Decision Making.

    PubMed

    Cunningham, Thomas V

    2016-01-01

    Three common ethical principles for establishing the limits of parental authority in pediatric treatment decision-making are the harm principle, the principle of best interest, and the threshold view. This paper considers how these principles apply to a case of a premature neonate with multiple significant co-morbidities whose mother wanted all possible treatments, and whose health care providers wondered whether it would be ethically permissible to allow him to die comfortably despite her wishes. Whether and how these principles help in understanding what was morally right for the child is questioned. The paper concludes that the principles were of some value in understanding the moral geography of the case; however, this case reveals that common bioethical principles for medical decision-making are problematically value-laden because they are inconsistent with the widespread moral value of medical vitalism.

  16. Interpersonal Influences and Attitudes about Adjuvant Therapy Treatment Decisions among Early Stage Breast Cancer Patients: An Examination of Differences by Age and Race/Ethnicity in the BQUAL Study

    PubMed Central

    Shelton, Rachel C.; Hillyer, Grace Clarke; Hershman, Dawn L.; Leoce, Nicole; Kushi, Lawrence H.; Lamerato, Lois; Nathanson, S. David; Ambrosone, Christine B.; Bovbjerg, Dana H.; Mandelblatt, Jeanne S.; Neugut, Alfred I.

    2013-01-01

    Patients are increasingly involved in cancer treatment decisions and yet little research has explored factors that may affect patient attitudes and beliefs about their therapeutic choices. This paper examines psychosocial factors (e.g., attitudes, social support), provider-related factors (e.g., communication, trust), and treatment considerations in a prospective study of a sample of early stage breast cancer patients eligible for chemotherapy and/or hormonal therapy (BQUAL cohort). The data comes from a multi-site cohort study of white, black, Hispanic, and Asian non-metastatic breast cancer patients recruited in New York City, Northern California, and Detroit Michigan. Baseline surveys were conducted over the telephone between 2006 and 2010 among a total of 1145 women. Most participants were white (68%), had more than a high school education (76%), and were diagnosed with stage I disease (51%). The majority of women reported discussing chemotherapy and hormonal therapy with their doctor (90% and 83% respectively); these discussions primarily took place with medical oncologists. Nearly a quarter of women reported that the treatment decision was difficult and the majority were accompanied to the doctor (76%) and involved a friend or family member in the decision (54%). Positive considerations (e.g., beliefs about treatment reducing risk of recurrence) were important in making treatment decisions. Participants preferred a shared decision-making style, but results suggested that there is room for improvement in terms of actual patient involvement in the decision and provider communication, particularly among black patients. Patients 65 years and older reported fewer provider discussions of chemotherapy, poorer patient-provider communication, higher rates of being assisted by family members in making the decision, and more negative attitudes and beliefs towards treatment. PMID:23263696

  17. Innovation attributes and adoption decisions: perspectives from leaders of a national sample of addiction treatment organizations.

    PubMed

    Knudsen, Hannah K; Roman, Paul M

    2015-02-01

    Drawing on diffusion theory to further knowledge about evidence-based practices (EBPs) in the treatment of substance use disorders (SUDs), this study describes the perceived importance of innovation attributes in adoption decisions within a national sample of SUD treatment organizations. Face-to-face interviews were conducted with leaders of 307 organizations. A typology differentiated organizations reporting: (1) adoption of a treatment innovation in the past year ("recent adoption"), (2) plans to adopt an innovation in the upcoming year ("planned adoption"), or (3) no actual or planned adoption ("non-adoption"). About 30.7% of organizations reported recent adoption, 20.5% indicated planned adoption, and 48.8% were non-adopters. Leaders of organizations reporting recent adoption (n=93) or planned adoption (n=62) rated the importance of innovation attributes, including relative advantage, compatibility, complexity, and observability, on these adoption decisions using a Likert scale that ranged from 0 to 5. Innovation attributes most strongly endorsed were consistency with the program's treatment philosophy (mean=4.47, SD=1.03), improvement in the program's reputation with referral sources (mean=4.00, SD=1.33), reputational improvement with clients and their families (mean=3.98, SD=1.31), and reductions in treatment dropout (mean=3.75, SD=1.54). Innovation characteristics reflecting organizational growth and implementation costs were less strongly endorsed. Adopters and planners were generally similar in their importance ratings. There were modest differences in importance ratings when pharmacological innovations were compared to psychosocial interventions. These findings are consistent with diffusion theory and suggest that efforts to link EBPs with client satisfaction and potential reputational benefits may enhance the diffusion of EBPs. Attention to these attributes when developing and evaluating SUD treatment interventions may enhance efforts to increase

  18. Innovation Attributes and Adoption Decisions: Perspectives from Leaders of a National Sample of Addiction Treatment Organizations

    PubMed Central

    Knudsen, Hannah K.; Roman, Paul M

    2014-01-01

    Drawing on diffusion theory to further knowledge about evidence-based practices (EBPs) in the treatment of substance use disorders (SUDs), this study describes the perceived importance of innovation attributes in adoption decisions within a national sample of SUD treatment organizations. Face-to-face interviews were conducted with leaders of 307 organizations. A typology differentiated organizations reporting: (1) adoption of a treatment innovation in the past year (“recent adoption”), (2) plans to adopt an innovation in the upcoming year (“planned adoption”), or (3) no actual or planned adoption (“non-adoption”). About 30.7% of organizations reported recent adoption, 20.5% indicated planned adoption, and 48.8% were non-adopters. Leaders of organizations reporting recent adoption (n = 93) or planned adoption (n = 62) rated the importance of innovation attributes, including relative advantage, compatibility, complexity, and observability, on these adoption decisions using a Likert scale that ranged from 0 to 5. Innovation attributes most strongly endorsed were consistency with the program's treatment philosophy (mean = 4.47, SD = 1.03), improvement in the program's reputation with referral sources (mean = 4.00, SD = 1.33), reputational improvement with clients and their families (mean = 3.98, SD = 1.31), and reductions in treatment dropout (mean = 3.75, SD = 1.54). Innovation characteristics reflecting organizational growth and implementation costs were less strongly endorsed. Adopters and planners were generally similar in their importance ratings. There were modest differences in importance ratings when pharmacological innovations were compared to psychosocial interventions. These findings are consistent with diffusion theory and suggest that efforts to link EBPs with client satisfaction and potential reputational benefits may enhance the diffusion of EBPs. Attention to these attributes when developing and evaluating SUD treatment interventions may

  19. A mathematical model for IL-6-mediated, stem cell driven tumor growth and targeted treatment

    PubMed Central

    Nör, Jacques Eduardo

    2018-01-01

    Targeting key regulators of the cancer stem cell phenotype to overcome their critical influence on tumor growth is a promising new strategy for cancer treatment. Here we present a modeling framework that operates at both the cellular and molecular levels, for investigating IL-6 mediated, cancer stem cell driven tumor growth and targeted treatment with anti-IL6 antibodies. Our immediate goal is to quantify the influence of IL-6 on cancer stem cell self-renewal and survival, and to characterize the subsequent impact on tumor growth dynamics. By including the molecular details of IL-6 binding, we are able to quantify the temporal changes in fractional occupancies of bound receptors and their influence on tumor volume. There is a strong correlation between the model output and experimental data for primary tumor xenografts. We also used the model to predict tumor response to administration of the humanized IL-6R monoclonal antibody, tocilizumab (TCZ), and we found that as little as 1mg/kg of TCZ administered weekly for 7 weeks is sufficient to result in tumor reduction and a sustained deceleration of tumor growth. PMID:29351275

  20. An economic theory of patient decision-making.

    PubMed

    Stewart, Douglas O; DeMarco, Joseph P

    2005-01-01

    Patient autonomy, as exercised in the informed consent process, is a central concern in bioethics. The typical bioethicist's analysis of autonomy centers on decisional capacity--finding the line between autonomy and its absence. This approach leaves unexplored the structure of reasoning behind patient treatment decisions. To counter that approach, we present a microeconomic theory of patient decision-making regarding the acceptable level of medical treatment from the patient's perspective. We show that a rational patient's desired treatment level typically departs from the level yielding an absence of symptoms, the level we call ideal. This microeconomic theory demonstrates why patients have good reason not to pursue treatment to the point of absence of physical symptoms. We defend our view against possible objections that it is unrealistic and that it fails to adequately consider harm a patient may suffer by curtailing treatment. Our analysis is fruitful in various ways. It shows why decisions often considered unreasonable might be fully reasonable. It offers a theoretical account of how physician misinformation may adversely affect a patient's decision. It shows how billing costs influence patient decision-making. It indicates that health care professionals' beliefs about the 'unreasonable' attitudes of patients might often be wrong. It provides a better understanding of patient rationality that should help to ensure fuller information as well as increased respect for patient decision-making.