The medical decision model and decision maker tools for management of radiological and nuclear incidents.

PubMed

Koerner, John F; Coleman, C Norman; Murrain-Hill, Paula; FitzGerald, Denis J; Sullivan, Julie M

2014-06-01

Effective decision making during a rapidly evolving emergency such as a radiological or nuclear incident requires timely interim decisions and communications from onsite decision makers while further data processing, consultation, and review are ongoing by reachback experts. The authors have recently proposed a medical decision model for use during a radiological or nuclear disaster, which is similar in concept to that used in medical care, especially when delay in action can have disastrous effects. For decision makers to function most effectively during a complex response, they require access to onsite subject matter experts who can provide information, recommendations, and participate in public communication efforts. However, in the time before this expertise is available or during the planning phase, just-in-time tools are essential that provide critical overview of the subject matter written specifically for the decision makers. Recognizing the complexity of the science, risk assessment, and multitude of potential response assets that will be required after a nuclear incident, the Office of the Assistant Secretary for Preparedness and Response, in collaboration with other government and non-government experts, has prepared a practical guide for decision makers. This paper illustrates how the medical decision model process could facilitate onsite decision making that includes using the deliberative reachback process from science and policy experts and describes the tools now available to facilitate timely and effective incident management.

What supports do health system organizations have in place to facilitate evidence-informed decision-making? a qualitative study

PubMed Central

2013-01-01

Background Decisions regarding health systems are sometimes made without the input of timely and reliable evidence, leading to less than optimal health outcomes. Healthcare organizations can implement tools and infrastructures to support the use of research evidence to inform decision-making. Objectives The purpose of this study was to profile the supports and instruments (i.e., programs, interventions, instruments or tools) that healthcare organizations currently have in place and which ones were perceived to facilitate evidence-informed decision-making. Methods In-depth semi-structured telephone interviews were conducted with individuals in three different types of positions (i.e., a senior management team member, a library manager, and a ‘knowledge broker’) in three types of healthcare organizations (i.e., regional health authorities, hospitals and primary care practices) in two Canadian provinces (i.e., Ontario and Quebec). The interviews were taped, transcribed, and then analyzed thematically using NVivo 9 qualitative data analysis software. Results A total of 57 interviews were conducted in 25 organizations in Ontario and Quebec. The main findings suggest that, for the healthcare organizations that participated in this study, the following supports facilitate evidence-informed decision-making: facilitating roles that actively promote research use within the organization; establishing ties to researchers and opinion leaders outside the organization; a technical infrastructure that provides access to research evidence, such as databases; and provision and participation in training programs to enhance staff’s capacity building. Conclusions This study identified the need for having a receptive climate, which laid the foundation for the implementation of other tangible initiatives and supported the use of research in decision-making. This study adds to the literature on organizational efforts that can increase the use of research evidence in decision

A Decision Support System for Managing a Diverse Portfolio of Technology Resources

NASA Technical Reports Server (NTRS)

Smith, J.

2000-01-01

This paper describes an automated decision support system designed to facilitate the management of a continuously changing portfolio of technologies as new technologies are deployed and older technologies are decommissioned.

Barriers and facilitators to orthopaedic surgeons’ uptake of decision aids for total knee arthroplasty: a qualitative study

PubMed Central

Nelson, Elizabeth; Scott, Anthony; French, Simon; Choong, Peter; Dowsey, Michelle

2017-01-01

Objectives The demand for total knee arthroplasty (TKA) is increasing. Differentiating who will derive a clinically meaningful improvement from TKA from others is a key challenge for orthopaedic surgeons. Decision aids can help surgeons select appropriate candidates for surgery, but their uptake has been low. The aim of this study was to explore the barriers and facilitators to decision aid uptake among orthopaedic surgeons. Design A qualitative study involving face-to-face interviews. Questions were constructed on the Theoretical Domains Framework to systematically explore barriers and facilitators. Setting One tertiary hospital in Australia. Participants Twenty orthopaedic surgeons performing TKA. Outcome measures Beliefs underlying similar interview responses were identified and grouped together as themes describing relevant barriers and facilitators to uptake of decision aids. Results While prioritising their clinical acumen, surgeons believed a decision aid could enhance communication and patient informed consent. Barriers identified included the perception that one’s patient outcomes were already optimal; a perceived lack of non-operative alternatives for the management of end-stage osteoarthritis, concerns about mandatory cut-offs for patient-centred care and concerns about the medicolegal implications of using a decision aid. Conclusions Multifaceted implementation interventions are required to ensure that orthopaedic surgeons are ready, willing and able to use a TKA decision aid. Audit/feedback to address current decision-making biases such as overconfidence may enhance readiness to uptake. Policy changes and/or incentives may enhance willingness to uptake. Finally, the design/implementation of effective non-operative treatments may enhance ability to uptake by ensuring that surgeons have the resources they need to carry out decisions. PMID:29133333

Self-management priority setting and decision-making in adults with multimorbidity: A narrative review of literature

PubMed Central

Bratzke, Lisa C.; Muehrer, Rebecca J.; Kehl, Karen A.; Lee, Kyoung Suk; Ward, Earlise C.; Kwekkeboom, Kristine L.

2014-01-01

Objectives The purpose of this narrative review was to synthesize current research findings related to self-management, in order to better understand the processes of priority setting and decision-making in among adults with multimorbidity. Design A narrative literature review was undertaken, synthesizing findings from published, peer-reviewed empirical studies that addressed priority setting and/or decision-making in self-management of multimorbidity. Data sources A search of PubMed, PsychINFO, CINAHL and SocIndex databases was conducted from database inception through December 2013. References lists from selected empirical studies and systematic reviews were evaluated to identify any additional relevant articles. Review methods Full text of potentially eligible articles were reviewed and selected for inclusion if they described empirical studies that addressed priority setting or decision-making in self-management of multimorbidity among adults. Two independent reviewers read each selected article and extracted relevant data to an evidence table. Processes and factors and processes of multimorbidity self-management were identified and sorted into categories of priority setting, decision-making, and facilitators/barriers. Results Thirteen articles were selected for inclusion; most were qualitative studies describing processes, facilitators, and barriers of multimorbidity self-management. The findings revealed that patients prioritize a dominant chronic illness and re-prioritize over time as conditions and treatments change; that multiple facilitators (e.g. support programs) and barriers (e.g. lack of financial resources) impact individuals’ self-management priority setting and decision-making ability; as do individual beliefs, preferences, and attitudes (e.g., perceived personal control, preferences regarding treatment). Conclusions Health care providers need to be cognizant that individuals with multimorbidity engage in day-to-day priority setting and decision

Self-management priority setting and decision-making in adults with multimorbidity: a narrative review of literature.

PubMed

Bratzke, Lisa C; Muehrer, Rebecca J; Kehl, Karen A; Lee, Kyoung Suk; Ward, Earlise C; Kwekkeboom, Kristine L

2015-03-01

The purpose of this narrative review was to synthesize current research findings related to self-management, in order to better understand the processes of priority setting and decision-making among adults with multimorbidity. A narrative literature review was undertaken, synthesizing findings from published, peer-reviewed empirical studies that addressed priority setting and/or decision-making in self-management of multimorbidity. A search of PubMed, PsychINFO, CINAHL and SocIndex databases was conducted from database inception through December 2013. References lists from selected empirical studies and systematic reviews were evaluated to identify any additional relevant articles. Full text of potentially eligible articles were reviewed and selected for inclusion if they described empirical studies that addressed priority setting or decision-making in self-management of multimorbidity among adults. Two independent reviewers read each selected article and extracted relevant data to an evidence table. Processes and factors of multimorbidity self-management were identified and sorted into categories of priority setting, decision-making, and facilitators/barriers. Thirteen articles were selected for inclusion; most were qualitative studies describing processes, facilitators, and barriers of multimorbidity self-management. The findings revealed that patients prioritize a dominant chronic illness and re-prioritize over time as conditions and treatments change; that multiple facilitators (e.g. support programs) and barriers (e.g. lack of financial resources) impact individuals' self-management priority setting and decision-making ability; as do individual beliefs, preferences, and attitudes (e.g., perceived personal control, preferences regarding treatment). Health care providers need to be cognizant that individuals with multimorbidity engage in day-to-day priority setting and decision-making among their multiple chronic illnesses and respective treatments. Researchers

Crisis management: an extended reference framework for decision makers.

PubMed

Carone, Alessandro; Iorio, Luigi Di

2013-01-01

The paper discusses a reference framework for capabilities supporting effective crisis management. This framework has been developed by joining experiences in the field and knowledge of organisational models for crisis management, and executives' empowerment, coaching and behavioural analysis. The paper is aimed at offering further insight to executives on critical success factors and means for managing crisis situations by extending the scope of analysis to human behaviour, to emotions and fears and their correlation with decision making. It is further intended to help familiarise them and to facilitate approaching a path towards emotional awareness.

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.

Integrated Forecast-Decision Systems For River Basin Planning and Management

NASA Astrophysics Data System (ADS)

Georgakakos, A. P.

2005-12-01

A central application of climatology, meteorology, and hydrology is the generation of reliable forecasts for water resources management. In principle, effective use of forecasts could improve water resources management by providing extra protection against floods, mitigating the adverse effects of droughts, generating more hydropower, facilitating recreational activities, and minimizing the impacts of extreme events on the environment and the ecosystems. In practice, however, realization of these benefits depends on three requisite elements. First is the skill and reliability of forecasts. Second is the existence of decision support methods/systems with the ability to properly utilize forecast information. And third is the capacity of the institutional infrastructure to incorporate the information provided by the decision support systems into the decision making processes. This presentation discusses several decision support systems (DSS) using ensemble forecasting that have been developed by the Georgia Water Resources Institute for river basin management. These DSS are currently operational in Africa, Europe, and the US and address integrated water resources and energy planning and management in river basins with multiple water uses, multiple relevant temporal and spatial scales, and multiple decision makers. The article discusses the methods used and advocates that the design, development, and implementation of effective forecast-decision support systems must bring together disciplines, people, and institutions necessary to address today's complex water resources challenges.

Shared decision-making in dementia care planning: barriers and facilitators in two European countries.

PubMed

Mariani, Elena; Vernooij-Dassen, Myrra; Koopmans, Raymond; Engels, Yvonne; Chattat, Rabih

2017-01-01

Shared decision-making (SDM) is a means of allowing people with dementia to take part in making choices, be autonomous and participate in social activities. Involving them in SDM is an important way of promoting social health. However, including families and dementia residents in decision-making can be challenging for care staff working in nursing homes. The objective of this study was to identify barriers and facilitators regarding the implementation of an SDM framework for care planning in two nursing homes, one in Italy and one in the Netherlands. Focus group interviews were conducted with healthcare professionals who, after being trained, applied the SDM framework. Content analysis was used to analyze the data. Six months after the feasibility trial, focus group interviews with healthcare professionals (n = 10 in Italy; n = 9 in the Netherlands) were held. We found 6 themes and 15 categories. Within these themes, facilitators and barriers were identified. The categories of team collaboration, communication skills and nursing home policy were found to be facilitators to the implementation process, whereas regulations, lack of funding and of involvement of family caregivers were the main barriers. Family attitudes towards SDM could be both. The main difference between countries concerned the residents' cognitive status that influenced their degree of involvement. Communication skills training for professionals, training of family caregivers, and involvement of the management in the implementation process seem to be crucial factors in successfully implementing SDM in nursing homes, and increasing the involvement of families and dementia residents in decision-making.

An Innovative Spreadsheet Application to Teach Management Science Decision Criteria

ERIC Educational Resources Information Center

Hozak, Kurt

2018-01-01

This article describes a Microsoft Excel-based application that uses humorous voice synthesis and timed competition to make it more fun and engaging to learn management science decision criteria. In addition to providing immediate feedback and easily customizable tips that facilitate self-learning, the software randomly generates both the problem…

[Barriers and facilitators to implementing shared decision-making in oncology: Patient perceptions].

PubMed

Ortega-Moreno, M; Padilla-Garrido, N; Huelva-López, L; Aguado-Correa, F; Bayo-Calero, J; Bayo-Lozano, E

To determine, from the point of view of the oncological patient, who made the decision about their treatment, as well as the major barriers and facilitators that enabled Shared Decision Making to be implemented. A cross-sectional, descriptive, sand association study using a self-report questionnaire to selected cancer patients, with casual sampling in different oncology clinics and random time periods. A total of 108 patients provided analysable data. The information was collected on sociodemographic and clinical variables, who made the decision about treatment, and level of agreement or disagreement with various barriers and facilitators. More than one-third (38.1%) of patients claimed to have participated in shared decision making with their doctor. Barriers such as, time, the difficulty of understanding, the paternalism, lack of fluid communication, and having preliminary and often erroneous information influenced the involvement in decision-making. However, to have or not have sufficient tools to aid decision making or the patient's interest to participate had no effect. As regards facilitators, physician motivation, their perception of improvement, and the interest of the patient had a positive influence. The exception was the possibility of financial incentives to doctors. The little, or no participation perceived by cancer patients in decisions about their health makes it necessary to introduce improvements in the health care model to overcome barriers and promote a more participatory attitude in the patient. Copyright © 2017 SECA. Publicado por Elsevier España, S.L.U. All rights reserved.

Stakeholders apply the GRADE evidence-to-decision framework to facilitate coverage decisions.

PubMed

Dahm, Philipp; Oxman, Andrew D; Djulbegovic, Benjamin; Guyatt, Gordon H; Murad, M Hassan; Amato, Laura; Parmelli, Elena; Davoli, Marina; Morgan, Rebecca L; Mustafa, Reem A; Sultan, Shahnaz; Falck-Ytter, Yngve; Akl, Elie A; Schünemann, Holger J

2017-06-01

Coverage decisions are complex and require the consideration of many factors. A well-defined, transparent process could improve decision-making and facilitate decision-maker accountability. We surveyed key US-based stakeholders regarding their current approaches for coverage decisions. Then, we held a workshop to test an evidence-to-decision (EtD) framework for coverage based on the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) criteria. A total of 42 individuals (including 19 US stakeholders as well as international health policymakers and GRADE working group members) attended the workshop. Of the 19 stakeholders, 14 (74%) completed the survey before the workshop. Almost all of their organizations (13 of 14; 93%) used systematic reviews for coverage decision-making; few (2 of 14; 14%) developed their own evidence synthesis; a majority (9 of 14; 64%) rated the certainty of evidence (using various systems); almost all (13 of 14; 93%) denied formal consideration of resource use; and half (7 of 14; 50%) reported explicit criteria for decision-making. At the workshop, stakeholders successfully applied the EtD framework to four case studies and provided narrative feedback, which centered on contextual factors affecting coverage decisions in the United States, the need for reliable data on subgroups of patients, and the challenge of decision-making without formal consideration of resource use. Stakeholders successfully applied the EtD framework to four case studies and highlighted contextual factors affecting coverage decisions and affirmed its value. Their input informed the further development of a revised EtD framework, now publicly available (http://gradepro.org/). Published by Elsevier Inc.

Facilitating participatory multilevel decision-making by using interactive mental maps.

PubMed

Pfeiffer, Constanze; Glaser, Stephanie; Vencatesan, Jayshree; Schliermann-Kraus, Elke; Drescher, Axel; Glaser, Rüdiger

2008-11-01

Participation of citizens in political, economic or social decisions is increasingly recognized as a precondition to foster sustainable development processes. Since spatial information is often important during planning and decision making, participatory mapping gains in popularity. However, little attention has been paid to the fact that information must be presented in a useful way to reach city planners and policy makers. Above all, the importance of visualisation tools to support collaboration, analytical reasoning, problem solving and decision-making in analysing and planning processes has been underestimated. In this paper, we describe how an interactive mental map tool has been developed in a highly interdisciplinary disaster management project in Chennai, India. We moved from a hand drawn mental maps approach to an interactive mental map tool. This was achieved by merging socio-economic and geospatial data on infrastructure, local perceptions, coping and adaptation strategies with remote sensing data and modern technology of map making. This newly developed interactive mapping tool allowed for insights into different locally-constructed realities and facilitated the communication of results to the wider public and respective policy makers. It proved to be useful in visualising information and promoting participatory decision-making processes. We argue that the tool bears potential also for health research projects. The interactive mental map can be used to spatially and temporally assess key health themes such as availability of, and accessibility to, existing health care services, breeding sites of disease vectors, collection and storage of water, waste disposal, location of public toilets or defecation sites.

Minorities with lupus nephritis and medications: a study of facilitators to medication decision-making.

PubMed

Singh, Jasvinder A; Qu, Haiyan; Yazdany, Jinoos; Chatham, Winn; Shewchuk, Richard

2015-12-17

Medication decision-making poses a challenge for a significant proportion of patients. This is an even more challenging for patients who have complex, rare, immune conditions that affect them at a young age and are associated with the use of life-long treatment, perceived by some as having significant risk of side effects and toxicity. The aim of our study was to examine the perspectives of women with lupus nephritis on facilitators to medication decision-making. We used the nominal group technique (NGT), a structured formative process to elicit patient perspectives. An NGT expert moderated eight patient group meetings. Participants (n = 52) responded to the question "What sorts of things make it easier for people to decide to take the medicines that doctors prescribe for treating their lupus kidney disease?" Patients nominated, discussed, and prioritized facilitators to medication decisional processes. Fifty-two women with lupus nephritis participated in eight NGT meetings (27 African-American, 13 Hispanic, and 12 Caucasian). Average age was 40.6 years (standard deviation (SD) = 13.3), and disease duration was 11.8 years (SD = 8.3); 36.5 % obtained at least a college education, and 55.8 % had difficulty in reading health materials. Patients generated 280 decision-making facilitators (range of 26 to 42 per panel). Of these, 102 (36 %) facilitators were perceived by patients as having relatively more influence in decision-making processes than others. Prioritized facilitators included effective patient-physician communication regarding benefits/harms, patient desire to live a normal life and improve quality of life, concern for their dependents, experiencing benefits and few/infrequent/no harms with lupus medications, and their affordability. Relative to African-Americans, Caucasian and Hispanic patients endorsed a smaller percentage of facilitators as influential. Level of agreement with which patients within panels independently agreed in their

Online decision support system for surface irrigation management

NASA Astrophysics Data System (ADS)

Wang, Wenchao; Cui, Yuanlai

2017-04-01

Irrigation has played an important role in agricultural production. Irrigation decision support system is developed for irrigation water management, which can raise irrigation efficiency with few added engineering services. An online irrigation decision support system (OIDSS), in consist of in-field sensors and central computer system, is designed for surface irrigation management in large irrigation district. Many functions have acquired in OIDSS, such as data acquisition and detection, real-time irrigation forecast, water allocation decision and irrigation information management. The OIDSS contains four parts: Data acquisition terminals, Web server, Client browser and Communication system. Data acquisition terminals are designed to measure paddy water level, soil water content in dry land, ponds water level, underground water level, and canals water level. A web server is responsible for collecting meteorological data, weather forecast data, the real-time field data, and manager's feedback data. Water allocation decisions are made in the web server. Client browser is responsible for friendly displaying, interacting with managers, and collecting managers' irrigation intention. Communication system includes internet and the GPRS network used by monitoring stations. The OIDSS's model is based on water balance approach for both lowland paddy and upland crops. Considering basic database of different crops water demands in the whole growth stages and irrigation system engineering information, the OIDSS can make efficient decision of water allocation with the help of real-time field water detection and weather forecast. This system uses technical methods to reduce requirements of user's specialized knowledge and can also take user's managerial experience into account. As the system is developed by the Browser/Server model, it is possible to make full use of the internet resources, to facilitate users at any place where internet exists. The OIDSS has been applied in

Behavioral medicine perspectives on the design of health information technology to improve decision-making, guideline adherence, and care coordination in chronic pain management.

PubMed

Midboe, Amanda M; Lewis, Eleanor T; Cronkite, Ruth C; Chambers, Dallas; Goldstein, Mary K; Kerns, Robert D; Trafton, Jodie A

2011-03-01

Development of clinical decision support systems (CDSs) has tended to focus on facilitating medication management. An understanding of behavioral medicine perspectives on the usefulness of a CDS for patient care can expand CDSs to improve management of chronic disease. The purpose of this study is to explore feedback from behavioral medicine providers regarding the potential for CDSs to improve decision-making, care coordination, and guideline adherence in pain management. Qualitative methods were used to analyze semi-structured interview responses from behavioral medicine stakeholders following demonstration of an existing CDS for opioid prescribing, ATHENA-OT. Participants suggested that a CDS could assist with decision-making by educating providers, providing recommendations about behavioral therapy, facilitating risk assessment, and improving referral decisions. They suggested that a CDS could improve care coordination by facilitating division of workload, improving patient education, and increasing consideration and knowledge of options in other disciplines. Clinical decision support systems are promising tools for improving behavioral medicine care for chronic pain.

Disaster Management with a Next Generation Disaster Decision Support System

NASA Astrophysics Data System (ADS)

Chen, Y.

2015-12-01

As populations become increasingly concentrated in large cities, the world is experiencing an inevitably growing trend towards the urbanisation of disasters. Scientists have contributed significant advances in understanding the geophysical causes of natural hazards and have developed sophisticated tools to predict their effects; while, much less attention has been devoted to tools that increase situational awareness, facilitate leadership, provide effective communication channels and data flow and enhance the cognitive abilities of decision makers and first responders. In this paper, we envisioned the capabilities of a next generation disaster decision support system and hence proposed a state-of-the-art system architecture design to facilitate the decision making process in natural catastrophes such as flood and bushfire by utilising a combination of technologies for multi-channel data aggregation, disaster modelling, visualisation and optimisation. Moreover, we put our thoughts into action by implementing an Intelligent Disaster Decision Support System (IDDSS). The developed system can easily plug in to external disaster models and aggregate large amount of heterogeneous data from government agencies, sensor networks, and crowd sourcing platforms in real-time to enhance the situational awareness of decision makers and offer them a comprehensive understanding of disaster impacts from diverse perspectives such as environment, infrastructure and economy, etc. Sponsored by the Australian Government and the Victorian Department of Justice (Australia), the system was built upon a series of open-source frameworks (see attached figure) with four key components: data management layer, model application layer, processing service layer and presentation layer. It has the potential to be adopted by a range of agencies across Australian jurisdictions to assist stakeholders in accessing, sharing and utilising available information in their management of disaster events.

7 CFR 3052.405 - Management decision.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 7 Agriculture 15 2012-01-01 2012-01-01 false Management decision. 3052.405 Section 3052.405... and Pass-Through Entities § 3052.405 Management decision. (a) General. The management decision shall... the management decision, the Federal agency or pass-through entity may request additional information...

7 CFR 3052.405 - Management decision.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 7 Agriculture 15 2014-01-01 2014-01-01 false Management decision. 3052.405 Section 3052.405... and Pass-Through Entities § 3052.405 Management decision. (a) General. The management decision shall... the management decision, the Federal agency or pass-through entity may request additional information...

7 CFR 3052.405 - Management decision.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 7 Agriculture 15 2011-01-01 2011-01-01 false Management decision. 3052.405 Section 3052.405... and Pass-Through Entities § 3052.405 Management decision. (a) General. The management decision shall... the management decision, the Federal agency or pass-through entity may request additional information...

7 CFR 3052.405 - Management decision.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 7 Agriculture 15 2010-01-01 2010-01-01 false Management decision. 3052.405 Section 3052.405... and Pass-Through Entities § 3052.405 Management decision. (a) General. The management decision shall... the management decision, the Federal agency or pass-through entity may request additional information...

A decision support framework for characterizing and managing dermal exposures to chemicals during Emergency Management and Operations.

PubMed

Dotson, G Scott; Hudson, Naomi L; Maier, Andrew

2015-01-01

Emergency Management and Operations (EMO) personnel are in need of resources and tools to assist in understanding the health risks associated with dermal exposures during chemical incidents. This article reviews available resources and presents a conceptual framework for a decision support system (DSS) that assists in characterizing and managing risk during chemical emergencies involving dermal exposures. The framework merges principles of three decision-making techniques: 1) scenario planning, 2) risk analysis, and 3) multicriteria decision analysis (MCDA). This DSS facilitates dynamic decision making during each of the distinct life cycle phases of an emergency incident (ie, preparedness, response, or recovery) and identifies EMO needs. A checklist tool provides key questions intended to guide users through the complexities of conducting a dermal risk assessment. The questions define the scope of the framework for resource identification and application to support decision-making needs. The framework consists of three primary modules: 1) resource compilation, 2) prioritization, and 3) decision. The modules systematically identify, organize, and rank relevant information resources relating to the hazards of dermal exposures to chemicals and risk management strategies. Each module is subdivided into critical elements designed to further delineate the resources based on relevant incident phase and type of information. The DSS framework provides a much needed structure based on contemporary decision analysis principles for 1) documenting key questions for EMO problem formulation and 2) a method for systematically organizing, screening, and prioritizing information resources on dermal hazards, exposures, risk characterization, and management.

A decision support framework for characterizing and managing dermal exposures to chemicals during Emergency Management and Operations

PubMed Central

Dotson, G. Scott; Hudson, Naomi L.; Maier, Andrew

2016-01-01

Emergency Management and Operations (EMO) personnel are in need of resources and tools to assist in understanding the health risks associated with dermal exposures during chemical incidents. This article reviews available resources and presents a conceptual framework for a decision support system (DSS) that assists in characterizing and managing risk during chemical emergencies involving dermal exposures. The framework merges principles of three decision-making techniques: 1) scenario planning, 2) risk analysis, and 3) multicriteria decision analysis (MCDA). This DSS facilitates dynamic decision making during each of the distinct life cycle phases of an emergency incident (ie, preparedness, response, or recovery) and identifies EMO needs. A checklist tool provides key questions intended to guide users through the complexities of conducting a dermal risk assessment. The questions define the scope of the framework for resource identification and application to support decision-making needs. The framework consists of three primary modules: 1) resource compilation, 2) prioritization, and 3) decision. The modules systematically identify, organize, and rank relevant information resources relating to the hazards of dermal exposures to chemicals and risk management strategies. Each module is subdivided into critical elements designed to further delineate the resources based on relevant incident phase and type of information. The DSS framework provides a much needed structure based on contemporary decision analysis principles for 1) documenting key questions for EMO problem formulation and 2) a method for systematically organizing, screening, and prioritizing information resources on dermal hazards, exposures, risk characterization, and management. PMID:26312660

Cynefin as Reference Framework to Facilitate Insight and Decision-Making in Complex Contexts of Biomedical Research.

PubMed

Kempermann, Gerd

2017-01-01

The Cynefin scheme is a concept of knowledge management, originally devised to support decision making in management, but more generally applicable to situations, in which complexity challenges the quality of insight, prediction, and decision. Despite the fact that life itself, and especially the brain and its diseases, are complex to the extent that complexity could be considered their cardinal feature, complex problems in biomedicine are often treated as if they were actually not more than the complicated sum of solvable sub-problems. Because of the emergent properties of complex contexts this is not correct. With a set of clear criteria Cynefin helps to set apart complex problems from "simple/obvious," "complicated," "chaotic," and "disordered" contexts in order to avoid misinterpreting the relevant causality structures. The distinction comes with the insight, which specific kind of knowledge is possible in each of these categories and what are the consequences for resulting decisions and actions. From student's theses over the publication and grant writing process to research politics, misinterpretation of complexity can have problematic or even dangerous consequences, especially in clinical contexts. Conceptualization of problems within a straightforward reference language like Cynefin improves clarity and stringency within projects and facilitates communication and decision-making about them.

29 CFR 99.405 - Management decision.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 29 Labor 1 2013-07-01 2013-07-01 false Management decision. 99.405 Section 99.405 Labor Office of... Agencies and Pass-through Entities § 99.405 Management decision. (a) General. The management decision shall... the management decision, the Federal agency or pass-through entity may request additional information...

29 CFR 99.405 - Management decision.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 29 Labor 1 2011-07-01 2011-07-01 false Management decision. 99.405 Section 99.405 Labor Office of... Agencies and Pass-through Entities § 99.405 Management decision. (a) General. The management decision shall... the management decision, the Federal agency or pass-through entity may request additional information...

29 CFR 99.405 - Management decision.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 29 Labor 1 2012-07-01 2012-07-01 false Management decision. 99.405 Section 99.405 Labor Office of... Agencies and Pass-through Entities § 99.405 Management decision. (a) General. The management decision shall... the management decision, the Federal agency or pass-through entity may request additional information...

29 CFR 99.405 - Management decision.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 29 Labor 1 2014-07-01 2013-07-01 true Management decision. 99.405 Section 99.405 Labor Office of... Agencies and Pass-through Entities § 99.405 Management decision. (a) General. The management decision shall... the management decision, the Federal agency or pass-through entity may request additional information...

29 CFR 99.405 - Management decision.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 29 Labor 1 2010-07-01 2010-07-01 true Management decision. 99.405 Section 99.405 Labor Office of... Agencies and Pass-through Entities § 99.405 Management decision. (a) General. The management decision shall... the management decision, the Federal agency or pass-through entity may request additional information...

Barriers to, and facilitators of post-operative pain management in Iranian nursing: a qualitative research study.

PubMed

Rejeh, N; Ahmadi, F; Mohammadi, E; Anoosheh, M; Kazemnejad, A

2008-12-01

Unrelieved post-operative pain continues to be a major clinical challenge, despite advances in management. Although nurses have embraced a crucial role in pain management, its extent is often limited in Iranian nursing practice. To determine Iranian nurses' perceptions of the barriers and facilitators influencing their management of post-operative pain. This study was qualitative with 26 participant nurses. Data were obtained through semi-structured serial interviews and analysed using the content analysis method. Several themes emerged to describe the factors that hindered or facilitated post-operative pain management. These were grouped into two main themes: (1) barriers to pain management after surgery with subgroups such as powerlessness, policies and rules of organization, physicians leading practice, time constraints, limited communication, interruption of activities relating to pain, and (2) factors that facilitated post-operative pain management that included the nurse-patient relationship, nurses' responsibility, the physician as a colleague, and nurses' knowledge and skills. Postoperative pain management in Iran is contextually complex, and may be controversial. Participants believed that in this context accurate pain management is difficult for nurses due to the barriers mentioned. Therefore, nurses make decisions and act as a patient comforter for pain after surgery because of the barriers to effective pain management.

Dissociated neural processing for decisions in managers and non-managers.

PubMed

Caspers, Svenja; Heim, Stefan; Lucas, Marc G; Stephan, Egon; Fischer, Lorenz; Amunts, Katrin; Zilles, Karl

2012-01-01

Functional neuroimaging studies of decision-making so far mainly focused on decisions under uncertainty or negotiation with other persons. Dual process theory assumes that, in such situations, decision making relies on either a rapid intuitive, automated or a slower rational processing system. However, it still remains elusive how personality factors or professional requirements might modulate the decision process and the underlying neural mechanisms. Since decision making is a key task of managers, we hypothesized that managers, facing higher pressure for frequent and rapid decisions than non-managers, prefer the heuristic, automated decision strategy in contrast to non-managers. Such different strategies may, in turn, rely on different neural systems. We tested managers and non-managers in a functional magnetic resonance imaging study using a forced-choice paradigm on word-pairs. Managers showed subcortical activation in the head of the caudate nucleus, and reduced hemodynamic response within the cortex. In contrast, non-managers revealed the opposite pattern. With the head of the caudate nucleus being an initiating component for process automation, these results supported the initial hypothesis, hinting at automation during decisions in managers. More generally, the findings reveal how different professional requirements might modulate cognitive decision processing.

Dissociated Neural Processing for Decisions in Managers and Non-Managers

PubMed Central

Caspers, Svenja; Heim, Stefan; Lucas, Marc G.; Stephan, Egon; Fischer, Lorenz; Amunts, Katrin; Zilles, Karl

2012-01-01

Functional neuroimaging studies of decision-making so far mainly focused on decisions under uncertainty or negotiation with other persons. Dual process theory assumes that, in such situations, decision making relies on either a rapid intuitive, automated or a slower rational processing system. However, it still remains elusive how personality factors or professional requirements might modulate the decision process and the underlying neural mechanisms. Since decision making is a key task of managers, we hypothesized that managers, facing higher pressure for frequent and rapid decisions than non-managers, prefer the heuristic, automated decision strategy in contrast to non-managers. Such different strategies may, in turn, rely on different neural systems. We tested managers and non-managers in a functional magnetic resonance imaging study using a forced-choice paradigm on word-pairs. Managers showed subcortical activation in the head of the caudate nucleus, and reduced hemodynamic response within the cortex. In contrast, non-managers revealed the opposite pattern. With the head of the caudate nucleus being an initiating component for process automation, these results supported the initial hypothesis, hinting at automation during decisions in managers. More generally, the findings reveal how different professional requirements might modulate cognitive decision processing. PMID:22927984

Prior expectations facilitate metacognition for perceptual decision.

PubMed

Sherman, M T; Seth, A K; Barrett, A B; Kanai, R

2015-09-01

The influential framework of 'predictive processing' suggests that prior probabilistic expectations influence, or even constitute, perceptual contents. This notion is evidenced by the facilitation of low-level perceptual processing by expectations. However, whether expectations can facilitate high-level components of perception remains unclear. We addressed this question by considering the influence of expectations on perceptual metacognition. To isolate the effects of expectation from those of attention we used a novel factorial design: expectation was manipulated by changing the probability that a Gabor target would be presented; attention was manipulated by instructing participants to perform or ignore a concurrent visual search task. We found that, independently of attention, metacognition improved when yes/no responses were congruent with expectations of target presence/absence. Results were modeled under a novel Bayesian signal detection theoretic framework which integrates bottom-up signal propagation with top-down influences, to provide a unified description of the mechanisms underlying perceptual decision and metacognition. Copyright © 2015 Elsevier Inc. All rights reserved.

25 CFR 217.5 - Management decisions.

Code of Federal Regulations, 2012 CFR

2012-04-01

... 25 Indians 1 2012-04-01 2011-04-01 true Management decisions. 217.5 Section 217.5 Indians BUREAU OF INDIAN AFFAIRS, DEPARTMENT OF THE INTERIOR ENERGY AND MINERALS MANAGEMENT OF TRIBAL ASSETS OF UTE... Management decisions. In arriving at management decisions concerning the assets, the business committee shall...

38 CFR 41.405 - Management decision.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 38 Pensions, Bonuses, and Veterans' Relief 2 2013-07-01 2013-07-01 false Management decision. 41... Entities § 41.405 Management decision. (a) General. The management decision shall clearly state whether or... completed corrective action, a timetable for follow-up should be given. Prior to issuing the management...

25 CFR 217.5 - Management decisions.

Code of Federal Regulations, 2013 CFR

2013-04-01

... 25 Indians 1 2013-04-01 2013-04-01 false Management decisions. 217.5 Section 217.5 Indians BUREAU OF INDIAN AFFAIRS, DEPARTMENT OF THE INTERIOR ENERGY AND MINERALS MANAGEMENT OF TRIBAL ASSETS OF UTE... Management decisions. In arriving at management decisions concerning the assets, the business committee shall...

38 CFR 41.405 - Management decision.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 38 Pensions, Bonuses, and Veterans' Relief 2 2014-07-01 2014-07-01 false Management decision. 41... Entities § 41.405 Management decision. (a) General. The management decision shall clearly state whether or... completed corrective action, a timetable for follow-up should be given. Prior to issuing the management...

25 CFR 217.5 - Management decisions.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 25 Indians 1 2011-04-01 2011-04-01 false Management decisions. 217.5 Section 217.5 Indians BUREAU OF INDIAN AFFAIRS, DEPARTMENT OF THE INTERIOR ENERGY AND MINERALS MANAGEMENT OF TRIBAL ASSETS OF UTE... Management decisions. In arriving at management decisions concerning the assets, the business committee shall...

38 CFR 41.405 - Management decision.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 38 Pensions, Bonuses, and Veterans' Relief 2 2011-07-01 2011-07-01 false Management decision. 41... Entities § 41.405 Management decision. (a) General. The management decision shall clearly state whether or... completed corrective action, a timetable for follow-up should be given. Prior to issuing the management...

25 CFR 217.5 - Management decisions.

Code of Federal Regulations, 2014 CFR

2014-04-01

... 25 Indians 1 2014-04-01 2014-04-01 false Management decisions. 217.5 Section 217.5 Indians BUREAU OF INDIAN AFFAIRS, DEPARTMENT OF THE INTERIOR ENERGY AND MINERALS MANAGEMENT OF TRIBAL ASSETS OF UTE... Management decisions. In arriving at management decisions concerning the assets, the business committee shall...

38 CFR 41.405 - Management decision.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 38 Pensions, Bonuses, and Veterans' Relief 2 2012-07-01 2012-07-01 false Management decision. 41... Entities § 41.405 Management decision. (a) General. The management decision shall clearly state whether or... completed corrective action, a timetable for follow-up should be given. Prior to issuing the management...

25 CFR 217.5 - Management decisions.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 25 Indians 1 2010-04-01 2010-04-01 false Management decisions. 217.5 Section 217.5 Indians BUREAU OF INDIAN AFFAIRS, DEPARTMENT OF THE INTERIOR ENERGY AND MINERALS MANAGEMENT OF TRIBAL ASSETS OF UTE... Management decisions. In arriving at management decisions concerning the assets, the business committee shall...

38 CFR 41.405 - Management decision.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 38 Pensions, Bonuses, and Veterans' Relief 2 2010-07-01 2010-07-01 false Management decision. 41... Entities § 41.405 Management decision. (a) General. The management decision shall clearly state whether or... completed corrective action, a timetable for follow-up should be given. Prior to issuing the management...

Influences of Transportation on Health Decision-Making and Self-Management Behaviors among Older Adults with Chronic Conditions.

PubMed

Ruggiano, Nicole; Shtompel, Natalia; Whiteman, Karen; Sias, Kathy

2017-01-01

Although transportation has been established as a facilitator/barrier to health self-management, little is known about how the context of transportation shapes health self-management behaviors and decision-making among older adults with chronic conditions. This study interviewed 37 older adults with chronic conditions in Florida to examine their perspectives about how transportation influences their chronic care self-management. The data were systematically analyzed for themes. The thematic findings revealed how transportation intersected with participants' everyday experiences with chronic health self-management, how they evaluated transportation as part of the process of making decisions about health, and how creative problem-solving about transportation became an additional health self-management activity for addressing their complex needs. These findings suggest that the context of transportation goes beyond a basic facilitator/barrier for health and enhance our understanding about how transportation services and policies may be changed to better address the needs of older adults with chronic conditions.

Development, deployment and usability of a point-of-care decision support system for chronic disease management using the recently-approved HL7 decision support service standard.

PubMed

Lobach, David F; Kawamoto, Kensaku; Anstrom, Kevin J; Russell, Michael L; Woods, Peter; Smith, Dwight

2007-01-01

Clinical decision support is recognized as one potential remedy for the growing crisis in healthcare quality in the United States and other industrialized nations. While decision support systems have been shown to improve care quality and reduce errors, these systems are not widely available. This lack of availability arises in part because most decision support systems are not portable or scalable. The Health Level 7 international standard development organization recently adopted a draft standard known as the Decision Support Service standard to facilitate the implementation of clinical decision support systems using software services. In this paper, we report the first implementation of a clinical decision support system using this new standard. This system provides point-of-care chronic disease management for diabetes and other conditions and is deployed throughout a large regional health system. We also report process measures and usability data concerning the system. Use of the Decision Support Service standard provides a portable and scalable approach to clinical decision support that could facilitate the more extensive use of decision support systems.

How can clinical practice guidelines be adapted to facilitate shared decision making? A qualitative key-informant study.

PubMed

van der Weijden, Trudy; Pieterse, Arwen H; Koelewijn-van Loon, Marije S; Knaapen, Loes; Légaré, France; Boivin, Antoine; Burgers, Jako S; Stiggelbout, Anne M; Faber, Marjan; Elwyn, Glyn

2013-10-01

To explore how clinical practice guidelines can be adapted to facilitate shared decision making. This was a qualitative key-informant study with group discussions and semi-structured interviews. First, 75 experts in guideline development or shared decision making participated in group discussions at two international conferences. Next, health professionals known as experts in depression or breast cancer, experts on clinical practice guidelines and/or shared decision making, and patient representatives were interviewed (N=20). Using illustrative treatment decisions on depression or breast cancer, we asked the interviewees to indicate as specifically as they could how guidelines could be used to facilitate shared decision making. Interviewees suggested some generic strategies, namely to include a separate chapter on the importance of shared decision making, to use language that encourages patient involvement, and to develop patient versions of guidelines. Recommendation-specific strategies, related to specific decision points in the guideline, were also suggested: These include structuring the presentation of healthcare options to increase professionals' option awareness; structuring the deliberation process between professionals and patients; and providing relevant patient support tools embedded at important decision points in the guideline. This study resulted in an overview of strategies to adapt clinical practice guidelines to facilitate shared decision making. Some strategies seemed more contentious than others. Future research should assess the feasibility and impact of these strategies to make clinical practice guidelines more conducive to facilitate shared decision making.

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.

Facilitating Developmental Guidance through Behavioral Management.

ERIC Educational Resources Information Center

Davis, Donna H.

1980-01-01

The counselor, facilitating classroom development guidance lessons, may experience conflict and difficulty. The management system presented here allows for flexibility and provides sufficient behavioral structure, while encouraging individual expression from students. This behavioral management approach is supportive of, but secondary to,…

The application of reduced-processing decision support systems to facilitate the acquisition of decision-making skills.

PubMed

Perry, Nathan C; Wiggins, Mark W; Childs, Merilyn; Fogarty, Gerard

2013-06-01

The study was designed to examine whether the availability of reduced-processing decision support system interfaces could improve the decision making of inexperienced personnel in the context of Although research into reduced-processing decision support systems has demonstrated benefits in minimizing cognitive load, these benefits have not typically translated into direct improvements in decision accuracy because of the tendency for inexperienced personnel to focus on less-critical information. The authors investigated whether reduced-processing interfaces that direct users' attention toward the most critical cues for decision making can produce improvements in decision-making performance. Novice participants made incident command-related decisions in experimental conditions that differed according to the amount of information that was available within the interface, the level of control that they could exert over the presentation of information, and whether they had received decision training. The results revealed that despite receiving training, participants improved in decision accuracy only when they were provided with an interface that restricted information access to the most critical cues. It was concluded that an interface that restricts information access to only the most critical cues in the scenario can facilitate improvements in decision performance. Decision support system interfaces that encourage the processing of the most critical cues have the potential to improve the accuracy and timeliness of decisions made by inexperienced personnel.

Facilitators and barriers of independent decisions by midwives during labor and birth.

PubMed

Everly, Marcee C

2012-01-01

The purpose of this study was to explore the factors that affect labor management decisions of midwives in hospitals and freestanding birth centers. A qualitative study was conducted using one-on-one tape recorded interviews of midwives who had experience managing labor and birth in both hospitals and freestanding birth centers. Ten interviews consisting of several open-ended questions were conducted, coded, and analyzed in a stepwise fashion to identify codes, categories, and themes. Seven participants reviewed the final framework and confirmed credibility and trustworthiness. Four overall themes were identified: trust birth, the woman, the environment, and the labor team. When making labor management decisions, midwives are affected by their trust in birth, the woman, the health care team, and the birth environment. Midwives report more resistance when making labor management decisions in hospitals. The findings of this study provide insight into both the decision making of midwives and how factors in different environments, in this case hospitals and freestanding birth centers, influence the ability of midwives to make independent labor management decisions. © 2011 by the American College of Nurse-Midwives.

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.

Facilitating Adoption of News Tool to Develop Clinical Decision Making

ERIC Educational Resources Information Center

Brown, Robin T.

2017-01-01

This scholarly project was a non-experimental, pre/post-test design to (a) facilitate the voluntary adoption of the National Early Warning Score (NEWS), and (b) develop clinical decision making (CDM) in one cohort of junior level nursing students participating in a simulation lab. NEWS is an evidence-based predictive scoring tool developed by the…

Barriers, facilitators and views about next steps to implementing supports for evidence-informed decision-making in health systems: a qualitative study.

PubMed

Ellen, Moriah E; Léon, Grégory; Bouchard, Gisèle; Ouimet, Mathieu; Grimshaw, Jeremy M; Lavis, John N

2014-12-05

Mobilizing research evidence for daily decision-making is challenging for health system decision-makers. In a previous qualitative paper, we showed the current mix of supports that Canadian health-care organizations have in place and the ones that are perceived to be helpful to facilitate the use of research evidence in health system decision-making. Factors influencing the implementation of such supports remain poorly described in the literature. Identifying the barriers to and facilitators of different interventions is essential for implementation of effective, context-specific, supports for evidence-informed decision-making (EIDM) in health systems. The purpose of this study was to identify (a) barriers and facilitators to implementing supports for EIDM in Canadian health-care organizations, (b) views about emerging development of supports for EIDM, and (c) views about the priorities to bridge the gaps in the current mix of supports that these organizations have in place. This qualitative study was conducted in three types of health-care organizations (regional health authorities, hospitals, and primary care practices) in two Canadian provinces (Ontario and Quebec). Fifty-seven in-depth semi-structured telephone interviews were conducted with senior managers, library managers, and knowledge brokers from health-care organizations that have already undertaken strategic initiatives in knowledge translation. The interviews were taped, transcribed, and then analyzed thematically using NVivo 9 qualitative data analysis software. Limited resources (i.e., money or staff), time constraints, and negative attitudes (or resistance) toward change were the most frequently identified barriers to implementing supports for EIDM. Genuine interest from health system decision-makers, notably their willingness to invest money and resources and to create a knowledge translation culture over time in health-care organizations, was the most frequently identified facilitator to

Managing resources in NHS dentistry: the views of decision-makers in primary care organisations.

PubMed

Holmes, R D; Donaldson, C; Exley, C; Steele, J G

2008-09-27

To investigate priority setting and decision-making in primary care organisations and to determine how resources are managed in order to meet the oral health needs of local populations. This is a qualitative study. The purposive sample comprised twelve dental public health consultants and six senior finance representatives from contrasting care systems across the United Kingdom. Participants completed a written information sheet followed by a recorded semi-structured telephone interview. Conversations were professionally transcribed verbatim and analysed independently by two investigators using the constant comparative method. The emergent themes focused upon: the role of participants in decision-making; professional relationships; managing change; information needs; and identifying and managing priorities. There was wide interpretation with respect to participants' roles and perceived information needs for decision-making and commissioning. A unifying factor was the importance placed by participants upon trust and the influence of individuals on the success of relationships forged between primary care organisations and general dental practitioners. To facilitate decision-making in primary care organisations, commissioners and managers could engage further with practitioners and incorporate them into commissioning and resource allocation processes. Greater clarity is required regarding the role of dental public health consultants within primary care organisations and commissioning decisions.

Towards ethical decision support and knowledge management in neonatal intensive care.

PubMed

Yang, L; Frize, M; Eng, P; Walker, R; Catley, C

2004-01-01

Recent studies in neonatal medicine, clinical nursing, and cognitive psychology have indicated the need to augment current decision-making practice in neonatal intensive care units with computerized, intelligent decision support systems. Rapid progress in artificial intelligence and knowledge management facilitates the design of collaborative ethical decision-support tools that allow clinicians to provide better support for parents facing inherently difficult choices, such as when to withdraw aggressive treatment. The appropriateness of using computers to support ethical decision-making is critically analyzed through research and literature review. In ethical dilemmas, multiple diverse participants need to communicate and function as a team to select the best treatment plan. In order to do this, physicians require reliable estimations of prognosis, while parents need a highly useable tool to help them assimilate complex medical issues and address their own value system. Our goal is to improve and structuralize the ethical decision-making that has become an inevitable part of modern neonatal care units. The paper contributes to clinical decision support by outlining the needs and basis for ethical decision support and justifying the proposed development efforts.

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

Creating a process for incorporating epidemiological modelling into outbreak management decisions.

PubMed

Akselrod, Hana; Mercon, Monica; Kirkeby Risoe, Petter; Schlegelmilch, Jeffrey; McGovern, Joanne; Bogucki, Sandy

2012-01-01

Modern computational models of infectious diseases greatly enhance our ability to understand new infectious threats and assess the effects of different interventions. The recently-released CDC Framework for Preventing Infectious Diseases calls for increased use of predictive modelling of epidemic emergence for public health preparedness. Currently, the utility of these technologies in preparedness and response to outbreaks is limited by gaps between modelling output and information requirements for incident management. The authors propose an operational structure that will facilitate integration of modelling capabilities into action planning for outbreak management, using the Incident Command System (ICS) and Synchronization Matrix framework. It is designed to be adaptable and scalable for use by state and local planners under the National Response Framework (NRF) and Emergency Support Function #8 (ESF-8). Specific epidemiological modelling requirements are described, and integrated with the core processes for public health emergency decision support. These methods can be used in checklist format to align prospective or real-time modelling output with anticipated decision points, and guide strategic situational assessments at the community level. It is anticipated that formalising these processes will facilitate translation of the CDC's policy guidance from theory to practice during public health emergencies involving infectious outbreaks.

Decision Support for Ecosystem Management (Chapter 28)

Treesearch

Keith Reynolds; Jennifer Bjork; Rachel Riemann Hershey; Dan Schmoldt; John Payne; Susan King; Lee DeCola; Mark J. Twery; Pat Cunningham

1999-01-01

This chapter presents a management perspective on decision support for ecosystem management.The Introduction provides a brief historical overview of decision support technology as it has been used in natural resource management, discusses the role of decision support in ecosystem management as we see it, and summarizes the current state of the technology.

Supporting Coral Reef Ecosystem Management Decisions Appropriate to Climate Change

NASA Astrophysics Data System (ADS)

Hendee, J. C.; Fletcher, P.; Shein, K. A.

2013-05-01

There has been a perception that the myriad of environmental information products derived from satellite and other instrumental sources means ipso facto that there is a direct use for them by environmental managers. Trouble is, as information providers, for the most part we don't really know what decisions managers face daily, nor is it a trivial matter to ascertain the effect of management decisions on the environment, at least in a time frame that facilitates timely maintenance and enhancement of decision support software. To bridge this gap in understanding, we conducted a Needs Assessment (using methodology from the NOAA/Coastal Services Center's Product Design and Evaluation training program) from December, 2011 through May, 2012, in which we queried 15 resource managers in southeast Florida to identify the types of climate data and information products they needed to understand the effects of climate change in their region of purview, and how best these products should be delivered and subsequently enhanced or corrected. Our intent has been to develop a suite of software and information products customized specifically for environmental managers. This report summarizes our success to date, including a report on the development of software for gathering and presenting specific types of climate data, and a narrative about how some U.S. government sponsored efforts, such as Giovanni and TerraVis, as well as non-governmental sponsored efforts such as Marxan, Zonation, SimCLIM, and other off-the-shelf software might be customized for use in specific regions.

Towards biomarker-based tests that can facilitate decisions about prevention and management of preeclampsia in low-resource settings.

PubMed

Acestor, Nathalie; Goett, Jane; Lee, Arthur; Herrick, Tara M; Engelbrecht, Susheela M; Harner-Jay, Claudia M; Howell, Bonnie J; Weigl, Bernhard H

2016-01-01

In recent years, an increasing amount of literature is emerging on candidate urine and blood-based biomarkers associated with incidence and severity of preeclampsia (PE) in pregnant women. While enthusiasm on the usefulness of several of these markers in predicting PE is evolving, essentially all work so far has focused on the needs of high-resource settings and high-income countries, resulting primarily in multi-parameter laboratory assays based on proteomic and metabolomics analysis techniques. These highly complex methods, however, require laboratory capabilities that are rarely available or affordable in low-resource settings (LRS). The importance of quantifying maternal and perinatal risks and identifying which pregnancies can be safely prolonged is also much greater in LRS, where intensive care facilities that can rapidly respond to PE-related health threats for women and infants are limited. For these reasons, simple, low cost, sensitive, and specific point-of-care (POC) tests are needed that can be performed by antenatal health care providers in LRS and that can facilitate decisions about detection and management of PE. Our study aims to provide a comprehensive systematic review of current and emerging blood and urine biomarkers for PE, not only on the basis of their clinical performance, but also of their suitability to be used in LRS-compatible test formats, such as lateral flow and other variants of POC rapid assays.

Translating Evidence to Facilitate Shared Decision Making: Development and Usability of a Consult Decision Aid Prototype.

PubMed

Stacey, Dawn; Légaré, France; Lyddiatt, Anne; Giguere, Anik M C; Yoganathan, Manosila; Saarimaki, Anton; Pardo, Jordi Pardo; Rader, Tamara; Tugwell, Peter

2016-12-01

The purpose of this study was to translate evidence from Cochrane Reviews into a format that can be used to facilitate shared decision making during the consultation, namely patient decision aids. A systematic development process (a) established a stakeholder committee; (b) developed a prototype according to the International Patient Decision Aid Standards; (c) applied the prototype to a Cochrane Review and used an interview-guided survey to evaluate acceptability/usability; (d) created 12 consult decision aids; and (e) used a Delphi process to reach consensus on considerations for creating a consult decision aid. The 1-page prototype includes (a) a title specifying the decision; (b) information on the health condition, options, benefits/harms with probabilities; (c) an explicit values clarification exercise; and (d) questions to screen for decisional conflict. Hyperlinks provide additional information on definitions, probabilities presented graphically, and references. Fourteen Cochrane Consumer Network members and Cochrane Editorial Unit staff participated. Thirteen reported that it would help patient/clinician discussions and were willing to use and/or recommend it. Seven indicated the right amount of information, six not enough, and one too much. Changes to the prototype were more links to definitions, more white space, and details on GRADE evidence ratings. Creating 12 consult decision aids took about 4 h each. We identified ten considerations when selecting Cochrane Reviews for creating consult decision aids. Using a systematic process, we developed a consult decision aid prototype to be populated with evidence from Cochrane Reviews. It was acceptable and easy to apply. Future studies will evaluate implementation of consult decision aids.

Strategies to facilitate shared decision-making about pediatric oncology clinical trial enrollment: A systematic review.

PubMed

Robertson, Eden G; Wakefield, Claire E; Signorelli, Christina; Cohn, Richard J; Patenaude, Andrea; Foster, Claire; Pettit, Tristan; Fardell, Joanna E

2018-07-01

We conducted a systematic review to identify the strategies that have been recommended in the literature to facilitate shared decision-making regarding enrolment in pediatric oncology clinical trials. We searched seven databases for peer-reviewed literature, published 1990-2017. Of 924 articles identified, 17 studies were eligible for the review. We assessed study quality using the 'Mixed-Methods Appraisal Tool'. We coded the results and discussions of papers line-by-line using nVivo software. We categorized strategies thematically. Five main themes emerged: 1) decision-making as a process, 2) individuality of the process; 3) information provision, 4) the role of communication, or 5) decision and psychosocial support. Families should have adequate time to make a decision. HCPs should elicit parents' and patients' preferences for level of information and decision involvement. Information should be clear and provided in multiple modalities. Articles also recommended providing training for healthcare professionals and access to psychosocial support for families. High quality, individually-tailored information, open communication and psychosocial support appear vital in supporting decision-making regarding enrollment in clinical trials. These data will usefully inform future decision-making interventions/tools to support families making clinical trial decisions. A solid evidence-base for effective strategies which facilitate shared decision-making is needed. Copyright © 2018 Elsevier B.V. All rights reserved.

Decision exploration lab: a visual analytics solution for decision management.

PubMed

Broeksema, Bertjan; Baudel, Thomas; Telea, Arthur G; Crisafulli, Paolo

2013-12-01

We present a visual analytics solution designed to address prevalent issues in the area of Operational Decision Management (ODM). In ODM, which has its roots in Artificial Intelligence (Expert Systems) and Management Science, it is increasingly important to align business decisions with business goals. In our work, we consider decision models (executable models of the business domain) as ontologies that describe the business domain, and production rules that describe the business logic of decisions to be made over this ontology. Executing a decision model produces an accumulation of decisions made over time for individual cases. We are interested, first, to get insight in the decision logic and the accumulated facts by themselves. Secondly and more importantly, we want to see how the accumulated facts reveal potential divergences between the reality as captured by the decision model, and the reality as captured by the executed decisions. We illustrate the motivation, added value for visual analytics, and our proposed solution and tooling through a business case from the car insurance industry.

What can family medicine practices do to facilitate knowledge management?

PubMed

Orzano, A John; Ohman-Strickland, Pamela A; Patel, Meghal

2008-01-01

Family medicine practices face increasing demands to enhance efficiency and quality of care. Current solutions propose major practice redesign and investment in sophisticated technology. Knowledge management (KM) is a process that increases the capacity of a practice to deliver effective care by finding and sharing information and knowledge among practice members or by developing new knowledge for use by the practice. Our preliminary research in family medicine practices has suggested improved patient outcomes with greater and more effective KM. Research in other organizational settings has suggested that KM can be facilitated by certain organizational characteristics. To identify those organizational characteristics within a family medicine practice that management can effect to enhance KM. We performed a cross-sectional secondary analysis of second-year data from 13 community family medicine practices participating in a practice improvement project. Practice KM, leaderships' promotion of participatory decision making, existence of activities supportive of human resource processes, and effective communication were derived from clinician's, nurses', and staff's responses to a survey eliciting responses on practice organizational characteristics. Hierarchical linear modeling examined relationships between individual practice members' perception of KM and organizational characteristics of the practice, controlling for practice covariates (solo-group, electronic medical record use, and perception of a chaotic practice environment) and staff-level covariates (gender, age, and role). Practices with greater participatory decision making and human resources' processes and effective communication significantly (p < .019, p < .0001, and p < .004) increased odds of reporting satisfactory KM (odds ratio = 2.48, 95% confidence interval = 1.32-4.65; odds ratio = 10.84, 95% confidence interval = 4.04-29.12; and odds ratio = 4.95, 95% confidence interval = 2.02-12.16). The sizes

Physicians' Perceptions of Shared Decision Making in Chronic Disease and Its Barriers and Facilitators.

PubMed

Dodds, Cassandra M; Britto, Maria T; Denson, Lee A; Lovell, Daniel J; Saeed, Shehzad; Lipstein, Ellen A

2016-04-01

This study assessed pediatric physicians' use of shared decision making (SDM) in 2 chronic conditions. Most physicians indicated that parent and adolescent trust and emotional readiness facilitated SDM, physicians' preferred approach to decision making. At the same time, they perceived few barriers, other than insurance limitations, to using SDM. Copyright © 2016 Elsevier Inc. All rights reserved.

Shared decision making in the management of children with newly diagnosed immune thrombocytopenia.

PubMed

Beck, Carolyn E; Boydell, Katherine M; Stasiulis, Elaine; Blanchette, Victor S; Llewellyn-Thomas, Hilary; Birken, Catherine S; Breakey, Vicky R; Parkin, Patricia C

2014-10-01

This study aimed to examine the treatment decision-making process for children hospitalized with newly diagnosed immune thrombocytopenia (ITP). Using focus groups, we studied children with ITP, parents of children with ITP, and health care professionals, inquiring about participants' experience with decision support and decision making in newly diagnosed ITP. Data were examined using thematic analysis. Themes that emerged from children were feelings of "anxiety, fear, and confusion"; the need to "understand information"; and "treatment choice," the experience of which was age dependent. For parents, "anxiety, fear, and confusion" was a dominant theme; "treatment choice" revealed that participants felt directed toward intravenous immune globulin (IVIG) for initial treatment. For health care professionals, "comfort level" highlighted factors contributing to professionals' comfort with offering options; "assumptions" were made about parental desire for participation in shared decision making (SDM) and parental acceptance of treatment options; "providing information" was informative regarding modes of facilitating SDM; and "treatment choice" revealed a discrepancy between current practice (directed toward IVIG) and the ideal of SDM. At our center, families of children with newly diagnosed ITP are not experiencing SDM. Our findings support the implementation of SDM to facilitate patient-centered care for the management of pediatric ITP.

The Decision Tree for Teaching Management of Uncertainty

ERIC Educational Resources Information Center

Knaggs, Sara J.; And Others

1974-01-01

A 'decision tree' consists of an outline of the patient's symptoms and a logic for decision and action. It is felt that this approach to the decisionmaking process better facilitates each learner's application of his own level of knowledge and skills. (Author)

Decision aids for multiple-decision disease management as affected by weather input errors.

PubMed

Pfender, W F; Gent, D H; Mahaffee, W F; Coop, L B; Fox, A D

2011-06-01

Many disease management decision support systems (DSSs) rely, exclusively or in part, on weather inputs to calculate an indicator for disease hazard. Error in the weather inputs, typically due to forecasting, interpolation, or estimation from off-site sources, may affect model calculations and management decision recommendations. The extent to which errors in weather inputs affect the quality of the final management outcome depends on a number of aspects of the disease management context, including whether management consists of a single dichotomous decision, or of a multi-decision process extending over the cropping season(s). Decision aids for multi-decision disease management typically are based on simple or complex algorithms of weather data which may be accumulated over several days or weeks. It is difficult to quantify accuracy of multi-decision DSSs due to temporally overlapping disease events, existence of more than one solution to optimizing the outcome, opportunities to take later recourse to modify earlier decisions, and the ongoing, complex decision process in which the DSS is only one component. One approach to assessing importance of weather input errors is to conduct an error analysis in which the DSS outcome from high-quality weather data is compared with that from weather data with various levels of bias and/or variance from the original data. We illustrate this analytical approach for two types of DSS, an infection risk index for hop powdery mildew and a simulation model for grass stem rust. Further exploration of analysis methods is needed to address problems associated with assessing uncertainty in multi-decision DSSs.

Facilitating adaptive management in the Chesapeake Bay Watershed through the use of online decision support tools

USGS Publications Warehouse

Mullinx, Cassandra; Phillips, Scott; Shenk, Kelly; Hearn, Paul; Devereux, Olivia

2009-01-01

The Chesapeake Bay Program (CBP) is attempting to more strategically implement management actions to improve the health of the Nation’s largest estuary. In 2007 the U.S. Geological Survey (USGS) and U.S. Environmental Protection Agency (USEPA) CBP office began a joint effort to develop a suite of Internetaccessible decision-support tools and to help meet the needs of CBP partners to improve water quality and habitat conditions in the Chesapeake Bay and its watersheds. An adaptive management framework is being used to provide a structured decision process for information and individual tools needed to implement and assess practices to improve the condition of the Chesapeake Bay ecosystem. The Chesapeake Online Adaptive Support Toolkit (COAST) is a collection of web-based analytical tools and information, organized in an adaptive management framework, intended to aid decisionmakers in protecting and restoring the integrity of the Bay ecosystem. The initial version of COAST is focused on water quality issues. During early and mid- 2008, initial ideas for COAST were shared and discussed with various CBP partners and other potential user groups. At these meetings, test cases were selected to help improve understanding of the types of information and analytical functionality that would be most useful for specific partners’ needs. These discussions added considerable knowledge about the nature of decisionmaking for Federal, State, local and nongovernmental partners. Version 1.0 of COAST, released in early winter of 2008, will be further reviewed to determine improvements needed to address implementation and assessment of water quality practices. Future versions of COAST may address other aspects of ecosystem restoration, including restoration of habitat and living resources and maintaining watershed health.

Shared decision-making and interprofessional collaboration in mental healthcare: a qualitative study exploring perceptions of barriers and facilitators.

PubMed

Chong, Wei Wen; Aslani, Parisa; Chen, Timothy F

2013-09-01

Shared decision-making and interprofessional collaboration are important approaches to achieving consumer-centered care. The concept of shared decision-making has been expanded recently to include the interprofessional healthcare team. This study explored healthcare providers' perceptions of barriers and facilitators to both shared decision-making and interprofessional collaboration in mental healthcare. Semi-structured interviews were conducted with 31 healthcare providers, including medical practitioners (psychiatrists, general practitioners), pharmacists, nurses, occupational therapists, psychologists and social workers. Healthcare providers identified several factors as barriers to, and facilitators of shared decision-making that could be categorized into three major themes: factors associated with mental health consumers, factors associated with healthcare providers and factors associated with healthcare service delivery. Consumers' lack of competence to participate was frequently perceived by mental health specialty providers to be a primary barrier to shared decision-making, while information provision on illness and treatment to consumers was cited by healthcare providers from all professions to be an important facilitator of shared decision-making. Whilst healthcare providers perceived interprofessional collaboration to be influenced by healthcare provider, environmental and systemic factors, emphasis of the factors differed among healthcare providers. To facilitate interprofessional collaboration, mental health specialty providers emphasized the importance of improving mental health expertise among general practitioners and community pharmacists, whereas general health providers were of the opinion that information sharing between providers and healthcare settings was the key. The findings of this study suggest that changes may be necessary at several levels (i.e. consumer, provider and environment) to implement effective shared decision-making and

Nanomaterial categorization for assessing risk potential to facilitate regulatory decision-making.

PubMed

Godwin, Hilary; Nameth, Catherine; Avery, David; Bergeson, Lynn L; Bernard, Daniel; Beryt, Elizabeth; Boyes, William; Brown, Scott; Clippinger, Amy J; Cohen, Yoram; Doa, Maria; Hendren, Christine Ogilvie; Holden, Patricia; Houck, Keith; Kane, Agnes B; Klaessig, Frederick; Kodas, Toivo; Landsiedel, Robert; Lynch, Iseult; Malloy, Timothy; Miller, Mary Beth; Muller, Julie; Oberdorster, Gunter; Petersen, Elijah J; Pleus, Richard C; Sayre, Philip; Stone, Vicki; Sullivan, Kristie M; Tentschert, Jutta; Wallis, Philip; Nel, Andre E

2015-01-01

For nanotechnology to meet its potential as a game-changing and sustainable technology, it is important to ensure that the engineered nanomaterials and nanoenabled products that gain entry to the marketplace are safe and effective. Tools and methods are needed for regulatory purposes to allow rapid material categorization according to human health and environmental risk potential, so that materials of high concern can be targeted for additional scrutiny, while material categories that pose the least risk can receive expedited review. Using carbon nanotubes as an example, we discuss how data from alternative testing strategies can be used to facilitate engineered nanomaterial categorization according to risk potential and how such an approach could facilitate regulatory decision-making in the future.

The factors facilitating and inhibiting effective clinical decision-making in nursing: a qualitative study

PubMed Central

Hagbaghery, Mohsen Adib; Salsali, Mahvash; Ahmadi, Fazlolah

2004-01-01

Background Nurses' practice takes place in a context of ongoing advances in research and technology. The dynamic and uncertain nature of health care environment requires nurses to be competent decision-makers in order to respond to clients' needs. Recently, the public and the government have criticized Iranian nurses because of poor quality of patient care. However nurses' views and experiences on factors that affect their clinical function and clinical decision-making have rarely been studied. Methods Grounded theory methodology was used to analyze the participants' lived experiences and their viewpoints regarding the factors affecting their clinical function and clinical decision-making. Semi-structured interviews and participant observation methods were used to gather the data. Thirty-eight participants were interviewed and twelve sessions of observation were carried out. Constant comparative analysis method was used to analyze the data. Results Five main themes emerged from the data. From the participants' points of view, "feeling competent", "being self-confident", "organizational structure", "nursing education", and "being supported" were considered as important factors in effective clinical decision-making. Conclusion As participants in this research implied, being competent and self-confident are the most important personal factors influencing nurses clinical decision-making. Also external factors such as organizational structure, access to supportive resources and nursing education have strengthening or inhibiting effects on the nurses' decisions. Individual nurses, professional associations, schools of nursing, nurse educators, organizations that employ nurses and government all have responsibility for developing and finding strategies that facilitate nurses' effective clinical decision-making. They are responsible for identifying barriers and enhancing factors within the organizational structure that facilitate nurses' clinical decision-making. PMID

Nurse manager cognitive decision-making amidst stress and work complexity.

PubMed

Shirey, Maria R; Ebright, Patricia R; McDaniel, Anna M

2013-01-01

  The present study provides insight into nurse manager cognitive decision-making amidst stress and work complexity.   Little is known about nurse manager decision-making amidst stress and work complexity. Because nurse manager decisions have the potential to impact patient care quality and safety, understanding their decision-making processes is useful for designing supportive interventions.   This qualitative descriptive study interviewed 21 nurse managers from three hospitals to answer the research question: What decision-making processes do nurse managers utilize to address stressful situations in their nurse manager role? Face-to-face interviews incorporating components of the Critical Decision Method illuminated expert-novice practice differences. Content analysis identified one major theme and three sub-themes.   The present study produced a cognitive model that guides nurse manager decision-making related to stressful situations. Experience in the role, organizational context and situation factors influenced nurse manager cognitive decision-making processes.   Study findings suggest that chronic exposure to stress and work complexity negatively affects nurse manager health and their decision-making processes potentially threatening individual, patient and organizational outcomes.   Cognitive decision-making varies based on nurse manager experience and these differences have coaching and mentoring implications. This present study contributes a current understanding of nurse manager decision-making amidst stress and work complexity. © 2012 Blackwell Publishing Ltd.

Provider perspectives on the utility of a colorectal cancer screening decision aid for facilitating shared decision making.

PubMed

Schroy, Paul C; Mylvaganam, Shamini; Davidson, Peter

2014-02-01

Decision aids for colorectal cancer (CRC) screening have been shown to enable patients to identify a preferred screening option, but the extent to which such tools facilitate shared decision making (SDM) from the perspective of the provider is less well established. Our goal was to elicit provider feedback regarding the impact of a CRC screening decision aid on SDM in the primary care setting. Cross-sectional survey. Primary care providers participating in a clinical trial evaluating the impact of a novel CRC screening decision aid on SDM and adherence. Perceptions of the impact of the tool on decision-making and implementation issues. Twenty-nine of 42 (71%) eligible providers responded, including 27 internists and two nurse practitioners. The majority (>60%) felt that use of the tool complimented their usual approach, increased patient knowledge, helped patients identify a preferred screening option, improved the quality of decision making, saved time and increased patients' desire to get screened. Respondents were more neutral is their assessment of whether the tool improved the overall quality of the patient visit or patient satisfaction. Fewer than 50% felt that the tool would be easy to implement into their practices or that it would be widely used by their colleagues. Decision aids for CRC screening can improve the quality and efficiency of SDM from the provider perspective but future use is likely to depend on the extent to which barriers to implementation can be addressed. © 2011 John Wiley & Sons Ltd.

Cardiological database management system as a mediator to clinical decision support.

PubMed

Pappas, C; Mavromatis, A; Maglaveras, N; Tsikotis, A; Pangalos, G; Ambrosiadou, V

1996-03-01

An object-oriented medical database management system is presented for a typical cardiologic center, facilitating epidemiological trials. Object-oriented analysis and design were used for the system design, offering advantages for the integrity and extendibility of medical information systems. The system was developed using object-oriented design and programming methodology, the C++ language and the Borland Paradox Relational Data Base Management System on an MS-Windows NT environment. Particular attention was paid to system compatibility, portability, the ease of use, and the suitable design of the patient record so as to support the decisions of medical personnel in cardiovascular centers. The system was designed to accept complex, heterogeneous, distributed data in various formats and from different kinds of examinations such as Holter, Doppler and electrocardiography.

A proposal for amending administrative law to facilitate adaptive management

USGS Publications Warehouse

Craig, Robin K.; Ruhl, J.B.; Brown, Eleanor D.; Williams, Byron K.

2017-01-01

In this article we examine how federal agencies use adaptive management. In order for federal agencies to implement adaptive management more successfully, administrative law must adapt to adaptive management, and we propose changes in administrative law that will help to steer the current process out of a dead end. Adaptive management is a form of structured decision making that is widely used in natural resources management. It involves specific steps integrated in an iterative process for adjusting management actions as new information becomes available. Theoretical requirements for adaptive management notwithstanding, federal agency decision making is subject to the requirements of the federal Administrative Procedure Act, and state agencies are subject to the states' parallel statutes. We argue that conventional administrative law has unnecessarily shackled effective use of adaptive management. We show that through a specialized 'adaptive management track' of administrative procedures, the core values of administrative law—especially public participation, judicial review, and finality— can be implemented in ways that allow for more effective adaptive management. We present and explain draft model legislation (the Model Adaptive Management Procedure Act) that would create such a track for the specific types of agency decision making that could benefit from adaptive management.

Emotionally positive stimuli facilitate lexical decisions-an ERP study.

PubMed

Kissler, Johanna; Koessler, Susanne

2011-03-01

The influence of briefly presented positive and negative emotional pictures on lexical decisions on positive, negative and neutral words or pseudowords was investigated. Behavioural reactions were the fastest following all positive stimuli and most accurate for positive words. Stimulus-locked ERPs revealed enhanced early posterior and late parietal attention effects following positive pictures. A small neural affective priming effect was reflected by P3 modulation, indicating more attention allocation to affectively incongruent prime-target pairs. N400 was insensitive to emotion. Response-locked ERPs revealed an early fronto-central negativity from 480ms before reactions to positive words. It was generated in both fronto-central and extra-striate visual areas, demonstrating a contribution of perceptual and, notably, motor preparation processes. Thus, no behavioural and little neural evidence for congruency-driven affective priming with emotional pictures was found, but positive stimuli generally facilitated lexical decisions, not only enhancing perception, but also acting rapidly on response preparation and by-passing full semantic analysis. Copyright © 2010 Elsevier B.V. All rights reserved.

Implementation of Environmental Flows for Intermittent River Systems: Adaptive Management and Stakeholder Participation Facilitate Implementation

NASA Astrophysics Data System (ADS)

Conallin, John; Wilson, Emma; Campbell, Josh

2018-03-01

Anthropogenic pressure on freshwater ecosystems is increasing, and often leading to unacceptable social-ecological outcomes. This is even more prevalent in intermittent river systems where many are already heavily modified, or human encroachment is increasing. Although adaptive management approaches have the potential to aid in providing the framework to consider the complexities of intermittent river systems and improve utility within the management of these systems, success has been variable. This paper looks at the application of an adaptive management pilot project within an environmental flows program in an intermittent stream (Tuppal Creek) in the Murray Darling Basin, Australia. The program focused on stakeholder involvement, participatory decision-making, and simple monitoring as the basis of an adaptive management approach. The approach found that by building trust and ownership through concentrating on inclusiveness and transparency, partnerships between government agencies and landholders were developed. This facilitated a willingness to accept greater risks and unintended consequences allowing implementation to occur.

Facilitating the Role of Middle Managers in Further Education.

ERIC Educational Resources Information Center

Briggs, Ann R. J.

2002-01-01

Interviews with staff, focus groups with middle managers, and a survey of management teams in British further education colleges identified aspects of middle managers' role. The role is largely intuitive and has transactional, transformational, supervisory, and representative aspects. Facilitators include clarity of college systems, support of…

A proposal for amending administrative law to facilitate adaptive management

NASA Astrophysics Data System (ADS)

Craig, Robin K.; Ruhl, J. B.; Brown, Eleanor D.; Williams, Byron K.

2017-07-01

In this article we examine how federal agencies use adaptive management. In order for federal agencies to implement adaptive management more successfully, administrative law must adapt to adaptive management, and we propose changes in administrative law that will help to steer the current process out of a dead end. Adaptive management is a form of structured decision making that is widely used in natural resources management. It involves specific steps integrated in an iterative process for adjusting management actions as new information becomes available. Theoretical requirements for adaptive management notwithstanding, federal agency decision making is subject to the requirements of the federal Administrative Procedure Act, and state agencies are subject to the states’ parallel statutes. We argue that conventional administrative law has unnecessarily shackled effective use of adaptive management. We show that through a specialized ‘adaptive management track’ of administrative procedures, the core values of administrative law—especially public participation, judicial review, and finality— can be implemented in ways that allow for more effective adaptive management. We present and explain draft model legislation (the Model Adaptive Management Procedure Act) that would create such a track for the specific types of agency decision making that could benefit from adaptive management.

43 CFR 4190.1 - Effect of wildfire management decisions.

Code of Federal Regulations, 2012 CFR

2012-10-01

... 43 Public Lands: Interior 2 2012-10-01 2012-10-01 false Effect of wildfire management decisions... ALASKA Effect of Wildfire Management Decisions § 4190.1 Effect of wildfire management decisions. (a... on the public lands are at substantial risk of wildfire due to drought, fuels buildup, or other...

43 CFR 4190.1 - Effect of wildfire management decisions.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 43 Public Lands: Interior 2 2011-10-01 2011-10-01 false Effect of wildfire management decisions... ALASKA Effect of Wildfire Management Decisions § 4190.1 Effect of wildfire management decisions. (a... on the public lands are at substantial risk of wildfire due to drought, fuels buildup, or other...

43 CFR 4190.1 - Effect of wildfire management decisions.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 43 Public Lands: Interior 2 2013-10-01 2013-10-01 false Effect of wildfire management decisions... ALASKA Effect of Wildfire Management Decisions § 4190.1 Effect of wildfire management decisions. (a... on the public lands are at substantial risk of wildfire due to drought, fuels buildup, or other...

43 CFR 4190.1 - Effect of wildfire management decisions.

Code of Federal Regulations, 2014 CFR

2014-10-01

... 43 Public Lands: Interior 2 2014-10-01 2014-10-01 false Effect of wildfire management decisions... ALASKA Effect of Wildfire Management Decisions § 4190.1 Effect of wildfire management decisions. (a... on the public lands are at substantial risk of wildfire due to drought, fuels buildup, or other...

Shared decision making for psychiatric medication management: beyond the micro-social.

PubMed

Morant, Nicola; Kaminskiy, Emma; Ramon, Shulamit

2016-10-01

Mental health care has lagged behind other health-care domains in developing and applying shared decision making (SDM) for treatment decisions. This is despite compatibilities with ideals of modern mental health care such as self-management and recovery-oriented practice, and growing policy-level interest. Psychiatric medication is a mainstay of mental health treatment, but there are known problems with prescribing practices, and service users report feeling uninvolved in medication decisions and concerned about adverse effects. SDM has potential to produce better tailoring of psychiatric medication to individuals' needs. This conceptual review argues that several aspects of mental health care that differ from other health-care contexts (e.g. forms of coercion, questions about service users' insight and disempowerment) may impact on processes and possibilities for SDM. It is therefore problematic to uncritically import models of SDM developed in other health-care contexts. We argue that decision making for psychiatric medication is better understood in a broader way that moves beyond the micro-social focus of a medical consultation. Contextualizing specific medication-related consultations within longer term relationships, and broader service systems enables recognition of the multiple processes, actors and agendas that shape how psychiatric medication is prescribed, managed and used, and which may facilitate or impede SDM. A broad conceptualization of decision making for psychiatric medication that moves beyond the micro-social can account for why SDM in this domain remains a rarity. It has both conceptual and practical utility for evaluating research evidence, identifying future research priorities and highlighting fruitful ways of developing and implementing SDM in mental health care. © 2015 The Authors Health Expectations Published by John Wiley & Sons Ltd.

Trial of an electronic decision support system to facilitate shared decision making in community mental health.

PubMed

Woltmann, Emily M; Wilkniss, Sandra M; Teachout, Alexandra; McHugo, Gregory J; Drake, Robert E

2011-01-01

Involvement of community mental health consumers in mental health decision making has been consistently associated with improvements in health outcomes. Electronic decision support systems (EDSSs) that support both consumer and provider decision making may be a sustainable way to improve dyadic communication in a field with approximately 50% workforce turnover per year. This study examined the feasibility of such a system and investigated proximal outcomes of the system's performance. A cluster randomized design was used to evaluate an EDSS at three urban community mental health sites. Case managers (N=20) were randomly assigned to the EDSS-supported planning group or to the usual care planning group. Consumers (N=80) were assigned to the same group as their case managers. User satisfaction with the care planning process was assessed for consumers and case managers (possible scores range from 1 to 5, with higher summary scores indicating more satisfaction). Recall of the care plan was assessed for consumers. Linear regression with adjustment for grouping by worker was used to assess satisfaction scores. A Wilcoxon rank-sum test was used to examine knowledge of the care plan. Compared with case managers in the control group, those in the intervention group were significantly more satisfied with the care planning process (mean ± SD score=4.0 ± .5 versus 3.3 ± .5; adjusted p=.01). Compared with consumers in the control group, those in the intervention group had significantly greater recall of their care plans three days after the planning session (mean proportion of plan goals recalled=75% ± 28% versus 57% ± 32%; p=.02). There were no differences between the clients in the intervention and control groups regarding satisfaction. This study demonstrated that clients can build their own care plans and negotiate and revise them with their case managers using an EDSS.

Nurse Managers' Decisions: Fast and Favoring Remediation

PubMed Central

Effken, Judith A.; Verran, Joyce A.; Logue, Melanie D.; Hsu, Ya-Chuan

2010-01-01

How do nurse managers make decisions about quality issues on their units? We asked 10 nurse managers in 3 Arizona hospitals to describe how they resolved a recent quality issue. The managers tended to use a linear, but cognitively expensive strategy, often jumping from problem to solution without a clear goal and selecting solutions biased toward remedial education. Decision support tools should help managers think more systemically, systematically and efficiently, while encouraging consideration of more alternatives to reach targeted goals. PMID:20305465

Using multi-criteria decision making for selection of the optimal strategy for municipal solid waste management.

PubMed

Jovanovic, Sasa; Savic, Slobodan; Jovicic, Nebojsa; Boskovic, Goran; Djordjevic, Zorica

2016-09-01

Multi-criteria decision making (MCDM) is a relatively new tool for decision makers who deal with numerous and often contradictory factors during their decision making process. This paper presents a procedure to choose the optimal municipal solid waste (MSW) management system for the area of the city of Kragujevac (Republic of Serbia) based on the MCDM method. Two methods of multiple attribute decision making, i.e. SAW (simple additive weighting method) and TOPSIS (technique for order preference by similarity to ideal solution), respectively, were used to compare the proposed waste management strategies (WMS). Each of the created strategies was simulated using the software package IWM2. Total values for eight chosen parameters were calculated for all the strategies. Contribution of each of the six waste treatment options was valorized. The SAW analysis was used to obtain the sum characteristics for all the waste management treatment strategies and they were ranked accordingly. The TOPSIS method was used to calculate the relative closeness factors to the ideal solution for all the alternatives. Then, the proposed strategies were ranked in form of tables and diagrams obtained based on both MCDM methods. As shown in this paper, the results were in good agreement, which additionally confirmed and facilitated the choice of the optimal MSW management strategy. © The Author(s) 2016.

A dataset of human decision-making in teamwork management.

PubMed

Yu, Han; Shen, Zhiqi; Miao, Chunyan; Leung, Cyril; Chen, Yiqiang; Fauvel, Simon; Lin, Jun; Cui, Lizhen; Pan, Zhengxiang; Yang, Qiang

2017-01-17

Today, most endeavours require teamwork by people with diverse skills and characteristics. In managing teamwork, decisions are often made under uncertainty and resource constraints. The strategies and the effectiveness of the strategies different people adopt to manage teamwork under different situations have not yet been fully explored, partially due to a lack of detailed large-scale data. In this paper, we describe a multi-faceted large-scale dataset to bridge this gap. It is derived from a game simulating complex project management processes. It presents the participants with different conditions in terms of team members' capabilities and task characteristics for them to exhibit their decision-making strategies. The dataset contains detailed data reflecting the decision situations, decision strategies, decision outcomes, and the emotional responses of 1,144 participants from diverse backgrounds. To our knowledge, this is the first dataset simultaneously covering these four facets of decision-making. With repeated measurements, the dataset may help establish baseline variability of decision-making in teamwork management, leading to more realistic decision theoretic models and more effective decision support approaches.

A dataset of human decision-making in teamwork management

PubMed Central

Yu, Han; Shen, Zhiqi; Miao, Chunyan; Leung, Cyril; Chen, Yiqiang; Fauvel, Simon; Lin, Jun; Cui, Lizhen; Pan, Zhengxiang; Yang, Qiang

2017-01-01

Today, most endeavours require teamwork by people with diverse skills and characteristics. In managing teamwork, decisions are often made under uncertainty and resource constraints. The strategies and the effectiveness of the strategies different people adopt to manage teamwork under different situations have not yet been fully explored, partially due to a lack of detailed large-scale data. In this paper, we describe a multi-faceted large-scale dataset to bridge this gap. It is derived from a game simulating complex project management processes. It presents the participants with different conditions in terms of team members’ capabilities and task characteristics for them to exhibit their decision-making strategies. The dataset contains detailed data reflecting the decision situations, decision strategies, decision outcomes, and the emotional responses of 1,144 participants from diverse backgrounds. To our knowledge, this is the first dataset simultaneously covering these four facets of decision-making. With repeated measurements, the dataset may help establish baseline variability of decision-making in teamwork management, leading to more realistic decision theoretic models and more effective decision support approaches. PMID:28094787

A dataset of human decision-making in teamwork management

NASA Astrophysics Data System (ADS)

Yu, Han; Shen, Zhiqi; Miao, Chunyan; Leung, Cyril; Chen, Yiqiang; Fauvel, Simon; Lin, Jun; Cui, Lizhen; Pan, Zhengxiang; Yang, Qiang

2017-01-01

Today, most endeavours require teamwork by people with diverse skills and characteristics. In managing teamwork, decisions are often made under uncertainty and resource constraints. The strategies and the effectiveness of the strategies different people adopt to manage teamwork under different situations have not yet been fully explored, partially due to a lack of detailed large-scale data. In this paper, we describe a multi-faceted large-scale dataset to bridge this gap. It is derived from a game simulating complex project management processes. It presents the participants with different conditions in terms of team members' capabilities and task characteristics for them to exhibit their decision-making strategies. The dataset contains detailed data reflecting the decision situations, decision strategies, decision outcomes, and the emotional responses of 1,144 participants from diverse backgrounds. To our knowledge, this is the first dataset simultaneously covering these four facets of decision-making. With repeated measurements, the dataset may help establish baseline variability of decision-making in teamwork management, leading to more realistic decision theoretic models and more effective decision support approaches.

The Role of the Facilitator on Total Quality Management Teams.

ERIC Educational Resources Information Center

Eakin, William L.

1993-01-01

As Total Quality Management teams work to improve organizational processes, several types of facilitators emerge: the director, the workhorse, and the cheerleader. Experience at the University of Kansas illustrates how different facilitator styles can affect team learning. (MSE)

COMMAND-AND-CONTROL AND MANAGEMENT DECISION MAKING,

DTIC Science & Technology

Reports that the development of command-and-con trol systems in support of decision making and action taking has been accomplished by military...methods applicable to management systems. Concludes that the command-and-control type system for top management decision making is a man-machine system having as its core an on going, dynamic operation. (Author)

Graphics to facilitate informative discussion and team decision making

DOE PAGES

Anderson-Cook, Christine M.; Lu, Lu

2018-03-25

Everyone knows the expression “A picture is worth a thousand words,” and this effectively summarizes the ability of graphical summaries to convey information and persuade. However, in many cases, the goal for the right visualization is to encourage and guide discussion while helping focus a team to make carefully considered, defensible, and data-driven decisions. The aims of graphics differ if we are trying to communicate the merits of a single choice versus outlining several contending alternatives for further comparison and discussion. These choices each have their own strengths and weaknesses depending on how we value different criteria. They also servemore » different purposes at various stages of decision making. Often the role of statisticians is not to provide a single answer but to provide rich information and summaries in a manageable and compact form to enable productive discussion among team members. Through a series of diverse examples, this work present principles and strategies for encouraging discussion and informed decision making and discuss how they can be integrated with versatile use of graphical tools for examining multiple objectives, framing trade-offs between alternatives, and examining the impact of subjective priorities and uncertainty on the final decision.« less

Graphics to facilitate informative discussion and team decision making

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

Anderson-Cook, Christine M.; Lu, Lu

Everyone knows the expression “A picture is worth a thousand words,” and this effectively summarizes the ability of graphical summaries to convey information and persuade. However, in many cases, the goal for the right visualization is to encourage and guide discussion while helping focus a team to make carefully considered, defensible, and data-driven decisions. The aims of graphics differ if we are trying to communicate the merits of a single choice versus outlining several contending alternatives for further comparison and discussion. These choices each have their own strengths and weaknesses depending on how we value different criteria. They also servemore » different purposes at various stages of decision making. Often the role of statisticians is not to provide a single answer but to provide rich information and summaries in a manageable and compact form to enable productive discussion among team members. Through a series of diverse examples, this work present principles and strategies for encouraging discussion and informed decision making and discuss how they can be integrated with versatile use of graphical tools for examining multiple objectives, framing trade-offs between alternatives, and examining the impact of subjective priorities and uncertainty on the final decision.« less

The Association of Patient Chronic Disease Burden and Self-Management Requirements With Shared Decision Making in Primary Care Visits

PubMed Central

Drum, Melinda; Cooper, Lisa A.

2014-01-01

Background: Shared decision making (SDM) is associated with positive health outcomes and may be particularly relevant for patients with chronic disease. Objectives: To investigate whether (1) patients with chronic diseases, particularly those requiring self-management, are more likely to engage in SDM behaviors than patients without chronic diseases and (2) patients with chronic diseases are more likely to have their physicians engage them in SDM. Design: A cross-sectional study of patients who were enrolled in a randomized controlled trial to improve patient–physician communication. Participants: Adult patients with hypertension at community health clinics in Baltimore, Maryland. Approach: We used multivariable regression models to examine the associations of the following predictor variables: (1) chronic disease burden and (2) diseases requiring self-management with the following outcome variables measuring SDM components: (1) patient information sharing, (2) patient decision making, and (3) physician SDM facilitation. Key Results: Patients with greater chronic disease burden and more diseases requiring self-management reported more information sharing (β = .07, P = .03 and β = .12, P = .046, respectively) and decision making (β = .06, P = .02 and β = .21, P < .001) as did patients who reported poor general health. Physician facilitation of SDM was not associated with chronic disease burden or with diseases requiring self-management but was associated with higher patient income. Conclusions: Patients with chronic diseases, particularly those requiring self-management, may be more likely to engage in SDM behaviors, but physicians may not be more likely to engage such patients in SDM. Targeting patients with chronic disease for SDM may improve health outcomes among the chronically ill, particularly among vulnerable patients (eg, minorities, low-income patients) who suffer disproportionately from such conditions. PMID:26640812

Conflict Management and Decision Making. Symposium.

ERIC Educational Resources Information Center

2002

This symposium on conflict management and decision making is comprised of three papers. "Two Approaches to Conflict Management in Teams: A Case Study" (Mychal Coleman, Gary N. McLean) describes a study that provided conflict management training to two employee teams using the traditional lecture method and cooperative learning (CL).…

AN INTEGRATED DECISION SUPPORT FRAMEWORK FOR PLACEMENT OF BMPS IN URBAN-WATERSHEDS

EPA Science Inventory

This paper will present an on-going development of an integrated decision support framework (IDSF) for cost-effective placement of best management practices (BMPs) for managing wet weather flows (WWF) in urban watersheds. This decision tool will facilitate the selection and plac...

Demographics of reintroduced populations: estimation, modeling, and decision analysis

USGS Publications Warehouse

Converse, Sarah J.; Moore, Clinton T.; Armstrong, Doug P.

2013-01-01

Reintroduction can be necessary for recovering populations of threatened species. However, the success of reintroduction efforts has been poorer than many biologists and managers would hope. To increase the benefits gained from reintroduction, management decision making should be couched within formal decision-analytic frameworks. Decision analysis is a structured process for informing decision making that recognizes that all decisions have a set of components—objectives, alternative management actions, predictive models, and optimization methods—that can be decomposed, analyzed, and recomposed to facilitate optimal, transparent decisions. Because the outcome of interest in reintroduction efforts is typically population viability or related metrics, models used in decision analysis efforts for reintroductions will need to include population models. In this special section of the Journal of Wildlife Management, we highlight examples of the construction and use of models for informing management decisions in reintroduced populations. In this introductory contribution, we review concepts in decision analysis, population modeling for analysis of decisions in reintroduction settings, and future directions. Increased use of formal decision analysis, including adaptive management, has great potential to inform reintroduction efforts. Adopting these practices will require close collaboration among managers, decision analysts, population modelers, and field biologists.

Competence to Complete Psychiatric Advance Directives: Effects of Facilitated Decision Making

PubMed Central

Swanson, Jeffrey W.; Appelbaum, Paul S.; Swartz, Marvin S.; Ferron, Joelle; Van Dorn, Richard A.; Wagner, H. Ryan

2013-01-01

Psychiatric advance directives (PADs) statutes presume competence to complete these documents, but the range and dimensions of decisional competence among people who actually complete PADs is unknown. This study examines clinical and neuropsychological correlates of performance on a measure to assess competence to complete PADs and investigates the effects of a facilitated PAD intervention on decisional capacity. N = 469 adults with psychotic disorders were interviewed at baseline and then randomly assigned to either a control group in which they received written materials about PADs or to an intervention group in which they were offered an opportunity to meet individually with a trained facilitator to create a PAD. At baseline, domains on the Decisional Competence Assessment Tool for PADs (DCAT-PAD) were most strongly associated with IQ, verbal memory, abstract thinking, and psychiatric symptoms. At one-month follow-up, participants in the intervention group showed more improvement on the DCAT-PAD than controls, particularly among participants with pre-morbid IQ estimates below the median of 100. The results suggest that PAD facilitation is an effective method to boost competence of cognitively-impaired clients to write PADs and make treatment decisions within PADs, thereby maximizing the chances their advance directives will be valid. PMID:17294136

Facilitated Integrated Mood Management for adults with bipolar disorder.

PubMed

Miklowitz, David J; Price, Jonathan; Holmes, Emily A; Rendell, Jennifer; Bell, Sarah; Budge, Katie; Christensen, Jean; Wallace, Joshua; Simon, Judit; Armstrong, Neil M; McPeake, Lily; Goodwin, Guy M; Geddes, John R

2012-03-01

We describe the development of a five-session psychoeducational treatment, Facilitated Integrated Mood Management (FIMM), which contains many of the core elements of longer evidence-based psychosocial treatments for bipolar disorder. FIMM incorporated a novel mood monitoring program based on mobile phone technology. Adult patients with bipolar I and II disorders (N = 19) received six sessions (Pilot I: n = 14) or five sessions (Pilot II: n = 5) of FIMM with pharmacotherapy. Treatment facilitators were novice counselors who were trained in a three-day workshop and supervised for six months. FIMM sessions focused on identifying early signs of recurrence, maintaining regular daily and nightly routines, rehearsing mood management strategies, maintaining adherence to medications, and education about substance abuse. Patients sent daily text messages or e-mails containing ratings of their mood and sleep, and weekly messages containing self-ratings on the Quick Inventory of Depressive Symptomatology (QIDS) and the Altman Self Rating Mania Scale (ASRM). Patients also completed a weekly mood management strategies questionnaire. Of the 19 patients, 17 (89.5%) completed FIMM in an average of 9.2 ± 3.4 weeks (Pilot I) and 7.6 ± 0.9 weeks (Pilot II). Patients reported stable moods on the QIDS and ASRM over a 120-day period, and on average responded to 81% of the daily message prompts and 88% of the weekly QIDS and ASRM prompts. Facilitators maintained high levels of fidelity to the FIMM manual. Patients' knowledge of mood management strategies increased significantly between the first and last weeks of treatment. Patients with bipolar disorder can be engaged in a short program of facilitated mood management. The effects of FIMM on the course of bipolar disorder await evaluation in randomized trials. The program may be a useful adjunct to pharmacotherapy in community centers that cannot routinely administer full courses of psychosocial treatment. © 2012 John Wiley and Sons A/S.

'She's usually quicker than the calculator': financial management and decision-making in couples living with dementia.

PubMed

Boyle, Geraldine

2013-09-01

This article explores how married couples managed their finances and made financial decisions when one spouse had dementia, drawing comparisons with the approaches used prior to the illness. More specifically, the article examines the role of social factors in influencing the involvement of people with dementia in financial management and decision-making, particularly whether a gender dynamic adopted earlier in a marriage similarly influenced a gendered approach following dementia. The research formed part of a larger study of everyday decision-making by couples living with dementia which explored the role of non-cognitive factors in influencing whether people with dementia were involved in decision-making processes. Twenty-one married couples living at home took part; the recently-diagnosed were excluded. Qualitative methods -including participant observation and interviews - were used to examine the couples' fiscal management and decision-making-processes, the perceptions of people with dementia and their spouses about their current financial abilities and whether any support provided by spouse-carers influenced their partners' financial capacity. The fieldwork was undertaken in the North of England between June 2010 and May 2011. Thematic analysis of the data showed that social factors influenced the perceived capacity of people with dementia and the financial practices adopted by the couples. In particular, gender influenced whether people with dementia were involved in financial decisions. The research demonstrated that non-cognitive factors need to be taken into account when assessing and facilitating the capacity of people with dementia. In addition, as people with dementia were somewhat marginalised in decisions about designating financial authority (Lasting Power of Attorney), spouse-carers may need guidance on how to undertake advance care planning and how to support their relatives with dementia in major decision-making, particularly when there are

Trade-off decisions in distribution utility management

NASA Astrophysics Data System (ADS)

Slavickas, Rimas Anthony

As a result of the "unbundling" of traditional monopolistic electricity generation and transmission enterprises into a free-market economy, power distribution utilities are faced with very difficult decisions pertaining to electricity supply options and quality of service to the customers. The management of distribution utilities has become increasingly complex, versatile, and dynamic to the extent that conventional, non-automated management tools are almost useless and obsolete. This thesis presents a novel and unified approach to managing electricity supply options and quality of service to customers. The technique formulates the problem in terms of variables, parameters, and constraints. An advanced Mixed Integer Programming (MIP) optimization formulation is developed together with novel, logical, decision-making algorithms. These tools enable the utility management to optimize various cost components and assess their time-trend impacts, taking into account the intangible issues such as customer perception, customer expectation, social pressures, and public response to service deterioration. The above concepts are further generalized and a Logical Proportion Analysis (LPA) methodology and associated software have been developed. Solutions using numbers are replaced with solutions using words (character strings) which more closely emulate the human decision-making process and advance the art of decision-making in the power utility environment. Using practical distribution utility operation data and customer surveys, the developments outlined in this thesis are successfully applied to several important utility management problems. These involve the evaluation of alternative electricity supply options, the impact of rate structures on utility business, and the decision of whether to continue to purchase from a main grid or generate locally (partially or totally) by building Non-Utility Generation (NUG).

Managing wildfire events: risk-based decision making among a group of federal fire managers

Treesearch

Robyn S. Wilson; Patricia L. Winter; Lynn A. Maguire; Timothy Ascher

2011-01-01

Managing wildfire events to achieve multiple management objectives involves a high degree of decision complexity and uncertainty, increasing the likelihood that decisions will be informed by experience-based heuristics triggered by available cues at the time of the decision. The research reported here tests the prevalence of three risk-based biases among 206...

Decision-support systems for forest management

Treesearch

H. Michael Rauscher

2005-01-01

The basic concept of sustainable development, formulated in the Brundtland report and applied to forest management by the Montreal Process, has focused attention on the need for formal decision processes (Brundtland. 1987). The application of decision theory is essential because meeting the needs of the present without compromising the ability of future generations to...

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.

DEVELOPMENT OF A DECISION SUPPORT FRAMEWORK FOR PLACEMENT OF BMPS IN URBAN-WATERSHEDS

EPA Science Inventory

This paper will present an on-going development of an integrated decision support framework (IDSF) for cost-effective placement of best management practices (BMPs) for managing wet weather flows (WWF) in urban watersheds. This decision tool will facilitate the selection and plac...

Application of decision science to resilience management in Jamaica Bay

USGS Publications Warehouse

Eaton, Mitchell; Fuller, Angela K.; Johnson, Fred A.; Hare, M. P.; Stedman, Richard C.; Sanderson, E.W.; Solecki, W. D.; Waldman, J.R.; Paris, A. S.

2016-01-01

This book highlights the growing interest in management interventions designed to enhance the resilience of the Jamaica Bay socio-ecological system. Effective management, whether the focus is on managing biological processes or human behavior or (most likely) both, requires decision makers to anticipate how the managed system will respond to interventions (i.e., via predictions or projections). In systems characterized by many interacting components and high uncertainty, making probabilistic predictions is often difficult and requires careful thinking not only about system dynamics, but also about how management objectives are specified and the analytic method used to select the preferred action(s). Developing a clear statement of the problem(s) and articulation of management objectives is often best achieved by including input from managers, scientists and other stakeholders affected by the decision through a process of joint problem framing (Marcot and others 2012; Keeney and others 1990). Using a deliberate, coherent and transparent framework for deciding among management alternatives to best meet these objectives then ensures a greater likelihood for successful intervention. Decision science provides the theoretical and practical basis for developing this framework and applying decision analysis methods for making complex decisions under uncertainty and risk.

43 CFR 1610.6 - Management decision review by Congress.

Code of Federal Regulations, 2012 CFR

2012-10-01

... respect to a tract of 100,000 acres or more, shall be reported by the Secretary to Congress before it can... 43 Public Lands: Interior 2 2012-10-01 2012-10-01 false Management decision review by Congress... Resource Management Planning § 1610.6 Management decision review by Congress. The Federal Land Policy and...

43 CFR 1610.6 - Management decision review by Congress.

Code of Federal Regulations, 2013 CFR

2013-10-01

... respect to a tract of 100,000 acres or more, shall be reported by the Secretary to Congress before it can... 43 Public Lands: Interior 2 2013-10-01 2013-10-01 false Management decision review by Congress... Resource Management Planning § 1610.6 Management decision review by Congress. The Federal Land Policy and...

43 CFR 1610.6 - Management decision review by Congress.

Code of Federal Regulations, 2011 CFR

2011-10-01

... respect to a tract of 100,000 acres or more, shall be reported by the Secretary to Congress before it can... 43 Public Lands: Interior 2 2011-10-01 2011-10-01 false Management decision review by Congress... Resource Management Planning § 1610.6 Management decision review by Congress. The Federal Land Policy and...

Group decision-making techniques for natural resource management applications

USGS Publications Warehouse

Coughlan, Beth A.K.; Armour, Carl L.

1992-01-01

This report is an introduction to decision analysis and problem-solving techniques for professionals in natural resource management. Although these managers are often called upon to make complex decisions, their training in the natural sciences seldom provides exposure to the decision-making tools developed in management science. Our purpose is to being to fill this gap. We present a general analysis of the pitfalls of group problem solving, and suggestions for improved interactions followed by the specific techniques. Selected techniques are illustrated. The material is easy to understand and apply without previous training or excessive study and is applicable to natural resource management issues.

The role of public communication in decision making for waste management infrastructure.

PubMed

Kirkman, Richard; Voulvoulis, Nikolaos

2017-12-01

Modern waste management provision seeks to meet challenging objectives and strategies while reflecting community aspirations and ensuring cost-effective compliance with statutory obligations. Its social acceptability, which affects both what systems (infrastructure) can be put in place and to what extent their implementation will be successful, is a multi-dimensional phenomenon, often not well understood. In light of the growing evidence that decisions to build new infrastructure are often contested by the public, there is a clear need to understand the role of scientific evidence in public perception, particularly as environmental infrastructure delivery is often objected to by the public on environmental grounds. In this paper the need for waste management infrastructure is reviewed, and the way its delivery in the UK has evolved is used as an example of the role of public perception in the planning and delivery of waste facilities. Findings demonstrate the vital role of public communication in waste management infrastructure delivery. Public perception must be taken into account early in the decision making process, with the public informed and engaged from the start. There is a pressing need for people not simply to accept but to understand and appreciate the need for infrastructure, the nature of infrastructure investments and development, the costs and the benefits involved, and the technological aspects. Scientific evidence and literacy have a critical role to play, facilitating public engagement in a process that empowers people, allowing them to define and handle challenges and influence decisions that will impact their lives. Problem ownership, and an increased probability of any solutions proposed being selected and implemented successfully are potential benefits of such approach. Copyright © 2016 Elsevier Ltd. All rights reserved.

Clinic-Based Mobile Health Decision Support to Enhance Adult Epilepsy Self-Management: An Intervention Mapping Approach.

PubMed

Shegog, Ross; Begley, Charles E

2017-01-01

Epilepsy is a neurological disorder involving recurrent seizures. It affects approximately 5 million people in the U.S. To optimize their quality of life people with epilepsy are encouraged to engage in self-management (S-M) behaviors. These include managing their treatment (e.g., adhering to anti-seizure medication and clinical visit schedules), managing their seizures (e.g., responding to seizure episodes), managing their safety (e.g., monitoring and avoiding environmental seizure triggers), and managing their co-morbid conditions (e.g., anxiety, depression). The clinic-based Management Information Decision Support Epilepsy Tool (MINDSET) is a decision-support system founded on theory and empirical evidence. It is designed to increase awareness by adult patients (≥18 years) and their health-care provider regarding the patient's epilepsy S-M behaviors, facilitate communication during the clinic visit to prioritize S-M goals and strategies commensurate with the patient's needs, and increase the patient's self-efficacy to achieve those goals. The purpose of this paper is to describe the application of intervention mapping (IM) to develop, implement, and formatively evaluate the clinic-based MINDSET prototype and in developing implementation and evaluation plans. Deliverables comprised a logic model of the problem (IM Step 1); matrices of program objectives (IM Step 2); a program planning document comprising scope, sequence, theory-based methods, and practical strategies (IM Step 3); a functional MINDSET program prototype (IM Step 4); plans for implementation (IM Step 5); and evaluation (IM Step 6). IM provided a logical and systematic approach to developing and evaluating clinic-based decision support toward epilepsy S-M.

Watershed Management Optimization Support Tool v3

EPA Science Inventory

The Watershed Management Optimization Support Tool (WMOST) is a decision support tool that facilitates integrated water management at the local or small watershed scale. WMOST models the environmental effects and costs of management decisions in a watershed context that is, accou...

Facilitating a teleconference-delivered fatigue management program: perspectives of occupational therapists.

PubMed

Dunleavy, Leah; Preissner, Katharine L; Finlayson, Marcia L

2013-12-01

Telehealth refers to the provision of health information and services across a geographical distance. Little is known about the experiences of occupational therapists using this method of service delivery. The study explored the process of facilitating a telehealth intervention from the perspective of occupational therapists. Occupational therapists completed SOAP (Subjective, Objective, Assessment, and Plan) notes after facilitating group-based, teleconference-delivered fatigue management groups to people with multiple sclerosis. Notes were also documented after therapist team meetings. All SOAP notes and field notes were subjected to thematic analysis. Five major themes were identified. "Managing time" was the central theme and was facilitated by professional foundation and challenged by logistics. Managing time contributed to challenging work, which led to the realization that it can work! Based on study findings, the theory and research on clinical reasoning, professional development, and adult learning are relevant to developing curricula that prepare occupational therapists for using telehealth approaches in practice.

Solid waste management in primary healthcare centers: application of a facilitation tool 1

PubMed Central

Moreira, Ana Maria Maniero; Günther, Wanda Maria Risso

2016-01-01

Abstract Objectives: to propose a tool to facilitate diagnosis, formulation and evaluation of the Waste Management Plan in Primary Healthcare Centers and to present the results of the application in four selected units. Method: descriptive research, covering the stages of formulation /application of the proposed instrument and the evaluation of waste management performance at the units. Results: the tool consists in five forms; specific indicators of waste generation for outpatients healthcare units were proposed, and performance indicators that give scores for compliance with current legislation. In the studied units it is generated common waste (52-60%), infectious-sharps (31-42%) and recyclable (5-17%). The average rates of generation are: 0,09kg of total waste/outpatient assistance and 0,09kg of infectious-sharps waste/outpatient procedure. The compliance with regulations, initially 26-30%, then reached 30-38% a year later. Conclusion: the tool showed to be easy to use, bypassing the existence of a complex range of existing regulatory requirements, allowed to identify non-conformities, pointed out corrective measures and evaluated the performance of waste management. In this sense, it contributes to decision making and management practices relating to waste, tasks usually assigned to nurses. It is recommended that the tool be applied in similar healthcare units for comparative studies, and implementation of necessary adaptations for other medical services. PMID:27556874

Geospatial Data Fusion and Multigroup Decision Support for Surface Water Quality Management

NASA Astrophysics Data System (ADS)

Sun, A. Y.; Osidele, O.; Green, R. T.; Xie, H.

2010-12-01

Social networking and social media have gained significant popularity and brought fundamental changes to many facets of our everyday life. With the ever-increasing adoption of GPS-enabled gadgets and technology, location-based content is likely to play a central role in social networking sites. While location-based content is not new to the geoscience community, where geographic information systems (GIS) are extensively used, the delivery of useful geospatial data to targeted user groups for decision support is new. Decision makers and modelers ought to make more effective use of the new web-based tools to expand the scope of environmental awareness education, public outreach, and stakeholder interaction. Environmental decision processes are often rife with uncertainty and controversy, requiring integration of multiple sources of information and compromises between diverse interests. Fusing of multisource, multiscale environmental data for multigroup decision support is a challenging task. Toward this goal, a multigroup decision support platform should strive to achieve transparency, impartiality, and timely synthesis of information. The latter criterion often constitutes a major technical bottleneck to traditional GIS-based media, featuring large file or image sizes and requiring special processing before web deployment. Many tools and design patterns have appeared in recent years to ease the situation somewhat. In this project, we explore the use of Web 2.0 technologies for “pushing” location-based content to multigroups involved in surface water quality management and decision making. In particular, our granular bottom-up approach facilitates effective delivery of information to most relevant user groups. Our location-based content includes in-situ and remotely sensed data disseminated by NASA and other national and local agencies. Our project is demonstrated for managing the total maximum daily load (TMDL) program in the Arroyo Colorado coastal river basin

Thresholds for conservation and management: structured decision making as a conceptual framework

USGS Publications Warehouse

Nichols, James D.; Eaton, Mitchell J.; Martin, Julien; Edited by Guntenspergen, Glenn R.

2014-01-01

changes in system dynamics. They are frequently incorporated into ecological models used to project system responses to management actions. Utility thresholds are components of management objectives and are values of state or performance variables at which small changes yield substantial changes in the value of the management outcome. Decision thresholds are values of system state variables at which small changes prompt changes in management actions in order to reach specified management objectives. Decision thresholds are derived from the other components of the decision process.We advocate a structured decision making (SDM) approach within which the following components are identified: objectives (possibly including utility thresholds), potential actions, models (possibly including ecological thresholds), monitoring program, and a solution algorithm (which produces decision thresholds). Adaptive resource management (ARM) is described as a special case of SDM developed for recurrent decision problems that are characterized by uncertainty. We believe that SDM, in general, and ARM, in particular, provide good approaches to conservation and management. Use of SDM and ARM also clarifies the distinct roles of ecological thresholds, utility thresholds, and decision thresholds in informed decision processes.

Knowledge-Based Information Management in Decision Support for Ecosystem Management

Treesearch

Keith Reynolds; Micahel Saunders; Richard Olson; Daniel Schmoldt; Michael Foster; Donald Latham; Bruce Miller; John Steffenson; Lawrence Bednar; Patrick Cunningham

1995-01-01

The Pacific Northwest Research Station (USDA Forest Service) is developing a knowledge-based information management system to provide decision support for watershed analysis in the Pacific Northwest region of the U.S. The decision support system includes: (1) a GIS interface that allows users to graphically navigate to specific provinces and watersheds and display a...

Improving IT Portfolio Management Decision Confidence Using Multi-Criteria Decision Making and Hypervariate Display Techniques

ERIC Educational Resources Information Center

Landmesser, John Andrew

2014-01-01

Information technology (IT) investment decision makers are required to process large volumes of complex data. An existing body of knowledge relevant to IT portfolio management (PfM), decision analysis, visual comprehension of large volumes of information, and IT investment decision making suggest Multi-Criteria Decision Making (MCDM) and…

epiDMS: Data Management and Analytics for Decision-Making From Epidemic Spread Simulation Ensembles.

PubMed

Liu, Sicong; Poccia, Silvestro; Candan, K Selçuk; Chowell, Gerardo; Sapino, Maria Luisa

2016-12-01

Carefully calibrated large-scale computational models of epidemic spread represent a powerful tool to support the decision-making process during epidemic emergencies. Epidemic models are being increasingly used for generating forecasts of the spatial-temporal progression of epidemics at different spatial scales and for assessing the likely impact of different intervention strategies. However, the management and analysis of simulation ensembles stemming from large-scale computational models pose challenges, particularly when dealing with multiple interdependent parameters, spanning multiple layers and geospatial frames, affected by complex dynamic processes operating at different resolutions. We describe and illustrate with examples a novel epidemic simulation data management system, epiDMS, that was developed to address the challenges that arise from the need to generate, search, visualize, and analyze, in a scalable manner, large volumes of epidemic simulation ensembles and observations during the progression of an epidemic. epiDMS is a publicly available system that facilitates management and analysis of large epidemic simulation ensembles. epiDMS aims to fill an important hole in decision-making during healthcare emergencies by enabling critical services with significant economic and health impact. © The Author 2016. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail journals.permissions@oup.com.

Recent advances in applying decision science to managing national forests

USGS Publications Warehouse

Marcot, Bruce G.; Thompson, Matthew P.; Runge, Michael C.; Thompson, Frank R.; McNulty, Steven; Cleaves, David; Tomosy, Monica; Fisher, Larry A.; Andrew, Bliss

2012-01-01

Management of federal public forests to meet sustainability goals and multiple use regulations is an immense challenge. To succeed, we suggest use of formal decision science procedures and tools in the context of structured decision making (SDM). SDM entails four stages: problem structuring (framing the problem and defining objectives and evaluation criteria), problem analysis (defining alternatives, evaluating likely consequences, identifying key uncertainties, and analyzing tradeoffs), decision point (identifying the preferred alternative), and implementation and monitoring the preferred alternative with adaptive management feedbacks. We list a wide array of models, techniques, and tools available for each stage, and provide three case studies of their selected use in National Forest land management and project plans. Successful use of SDM involves participation by decision-makers, analysts, scientists, and stakeholders. We suggest specific areas for training and instituting SDM to foster transparency, rigor, clarity, and inclusiveness in formal decision processes regarding management of national forests.

Clinical decision support tools for osteoporosis disease management: a systematic review of randomized controlled trials.

PubMed

Kastner, Monika; Straus, Sharon E

2008-12-01

Studies indicate a gap between evidence and clinical practice in osteoporosis management. Tools that facilitate clinical decision making at the point of care are promising strategies for closing these practice gaps. To systematically review the literature to identify and describe the effectiveness of tools that support clinical decision making in osteoporosis disease management. Medline, EMBASE, CINAHL, and EBM Reviews (CDSR, DARE, CCTR, and ACP J Club), and contact with experts in the field. Randomized controlled trials (RCTs) in any language from 1966 to July 2006 investigating disease management interventions in patients at risk for osteoporosis. Outcomes included fractures and bone mineral density (BMD) testing. Two investigators independently assessed articles for relevance and study quality, and extracted data using standardized forms. Of 1,246 citations that were screened for relevance, 13 RCTs met the inclusion criteria. Reported study quality was generally poor. Meta-analysis was not done because of methodological and clinical heterogeneity; 77% of studies included a reminder or education as a component of their intervention. Three studies of reminders plus education targeted to physicians and patients showed increased BMD testing (RR range 1.43 to 8.67) and osteoporosis medication use (RR range 1.60 to 8.67). A physician reminder plus a patient risk assessment strategy found reduced fractures [RR 0.58, 95% confidence interval (CI) 0.37 to 0.90] and increased osteoporosis therapy (RR 2.44, CI 1.43 to 4.17). Multi-component tools that are targeted to physicians and patients may be effective for supporting clinical decision making in osteoporosis disease management.

Application of expert systems in project management decision aiding

NASA Technical Reports Server (NTRS)

Harris, Regina; Shaffer, Steven; Stokes, James; Goldstein, David

1987-01-01

The feasibility of developing an expert systems-based project management decision aid to enhance the performance of NASA project managers was assessed. The research effort included extensive literature reviews in the areas of project management, project management decision aiding, expert systems technology, and human-computer interface engineering. Literature reviews were augmented by focused interviews with NASA managers. Time estimation for project scheduling was identified as the target activity for decision augmentation, and a design was developed for an Integrated NASA System for Intelligent Time Estimation (INSITE). The proposed INSITE design was judged feasible with a low level of risk. A partial proof-of-concept experiment was performed and was successful. Specific conclusions drawn from the research and analyses are included. The INSITE concept is potentially applicable in any management sphere, commercial or government, where time estimation is required for project scheduling. As project scheduling is a nearly universal management activity, the range of possibilities is considerable. The INSITE concept also holds potential for enhancing other management tasks, especially in areas such as cost estimation, where estimation-by-analogy is already a proven method.

Using structured decision making to manage disease risk for Montana wildlife

USGS Publications Warehouse

Mitchell, Michael S.; Gude, Justin A.; Anderson, Neil J.; Ramsey, Jennifer M.; Thompson, Michael J.; Sullivan, Mark G.; Edwards, Victoria L.; Gower, Claire N.; Cochrane, Jean Fitts; Irwin, Elise R.; Walshe, Terry

2013-01-01

We used structured decision-making to develop a 2-part framework to assist managers in the proactive management of disease outbreaks in Montana, USA. The first part of the framework is a model to estimate the probability of disease outbreak given field observations available to managers. The second part of the framework is decision analysis that evaluates likely outcomes of management alternatives based on the estimated probability of disease outbreak, and applies managers' values for different objectives to indicate a preferred management strategy. We used pneumonia in bighorn sheep (Ovis canadensis) as a case study for our approach, applying it to 2 populations in Montana that differed in their likelihood of a pneumonia outbreak. The framework provided credible predictions of both probability of disease outbreaks, as well as biological and monetary consequences of management actions. The structured decision-making approach to this problem was valuable for defining the challenges of disease management in a decentralized agency where decisions are generally made at the local level in cooperation with stakeholders. Our approach provides local managers with the ability to tailor management planning for disease outbreaks to local conditions. Further work is needed to refine our disease risk models and decision analysis, including robust prediction of disease outbreaks and improved assessment of management alternatives.

43 CFR 4.416 - Appeals of wildfire management decisions.

Code of Federal Regulations, 2012 CFR

2012-10-01

... 43 Public Lands: Interior 1 2012-10-01 2011-10-01 true Appeals of wildfire management decisions. 4.416 Section 4.416 Public Lands: Interior Office of the Secretary of the Interior DEPARTMENT HEARINGS... Board of Land Appeals § 4.416 Appeals of wildfire management decisions. The Board must decide appeals...

43 CFR 4.416 - Appeals of wildfire management decisions.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 43 Public Lands: Interior 1 2013-10-01 2013-10-01 false Appeals of wildfire management decisions. 4.416 Section 4.416 Public Lands: Interior Office of the Secretary of the Interior DEPARTMENT... Board of Land Appeals § 4.416 Appeals of wildfire management decisions. The Board must decide appeals...

43 CFR 4.416 - Appeals of wildfire management decisions.

Code of Federal Regulations, 2014 CFR

2014-10-01

... 43 Public Lands: Interior 1 2014-10-01 2014-10-01 false Appeals of wildfire management decisions. 4.416 Section 4.416 Public Lands: Interior Office of the Secretary of the Interior DEPARTMENT... Board of Land Appeals § 4.416 Appeals of wildfire management decisions. The Board must decide appeals...

43 CFR 4.416 - Appeals of wildfire management decisions.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 43 Public Lands: Interior 1 2011-10-01 2011-10-01 false Appeals of wildfire management decisions. 4.416 Section 4.416 Public Lands: Interior Office of the Secretary of the Interior DEPARTMENT... Board of Land Appeals § 4.416 Appeals of wildfire management decisions. The Board must decide appeals...

43 CFR 4.416 - Appeals of wildfire management decisions.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 43 Public Lands: Interior 1 2010-10-01 2010-10-01 false Appeals of wildfire management decisions. 4.416 Section 4.416 Public Lands: Interior Office of the Secretary of the Interior DEPARTMENT... Board of Land Appeals § 4.416 Appeals of wildfire management decisions. The Board must decide appeals...

Project Manager Performance and the Decision to Backsource the Project Management Office

ERIC Educational Resources Information Center

Lively, William R.

2014-01-01

This paper reviews a management decision of an Information Technology Outsource (ITO) provider to backshore the management oversight of its Project Management Office (PMO) after only one year of offshore operations. Governance is a term used in project management to refer to management oversight. The review is a quantitative analysis of existing…

Clinical decision-making by midwives: managing case complexity.

PubMed

Cioffi, J; Markham, R

1997-02-01

In making clinical judgements, it is argued that midwives use 'shortcuts' or heuristics based on estimated probabilities to simplify the decision-making task. Midwives (n = 30) were given simulated patient assessment situations of high and low complexity and were required to think aloud. Analysis of verbal protocols showed that subjective probability judgements (heuristics) were used more frequently in the high than low complexity case and predominated in the last quarter of the assessment period for the high complexity case. 'Representativeness' was identified more frequently in the high than in the low case, but was the dominant heuristic in both. Reports completed after each simulation suggest that heuristics based on memory for particular conditions affect decisions. It is concluded that midwives use heuristics, derived mainly from their clinical experiences, in an attempt to save cognitive effort and to facilitate reasonably accurate decisions in the decision-making process.

Help in making fuel management decisions.

Treesearch

Peter J. Roussopoulos; Von J. Johnson

1975-01-01

Describes how to compare predictions of fuel hazard for Northeastern logging slash with a number of fuel hazard "standards." This system provides objective criteria for making fuel management decisions.

Familiar communication partners' facilitation of topic management in conversations with individuals with dementia.

PubMed

Hall, Karinna; Lind, Christopher; Young, Jessica A; Okell, Elise; van Steenbrugge, Willem

2018-05-01

Language and memory impairments affect everyday interactions between individuals with dementia and their communication partners. Impaired topic management, which compromises individuals' construction of relevant, meaningful discourse, is commonly reported amongst individuals with dementia. Currently, limited empirical evidence describes the sequential patterns of behaviour comprising topic-management practices in everyday conversation between individuals with dementia and their communication partners. To describe the sequential patterns of behaviour relating to the manifestation of topic-management impairments and facilitative behaviours in everyday interactions between individuals with dementia and their familiar communication partners (FCPs). Three 20-min conversations between individuals with moderate to severe dementia and their FCPs were recorded. Conversation Analysis was used to examine sequences in which topic-management appeared to be impaired. Conversational behaviours that reflected a difficulty in contributing on-topic talk were pervasive in the talk of the three individuals with dementia. FCPs responded to these conversational difficulties by using two categories of facilitative behaviours. The first involved responding to an individual with dementia's explicit repair-initiation by performing repair. In the second category, explicit repair-initiation was absent; instead, the distance of the conversational difficulty from the prior topic-shifting turn mediated the form and outcome of the FCPs' facilitative behaviours. Each category successfully facilitated the individual with dementia to contribute on-topic talk. The findings contribute to a growing understanding of topic-management abilities in everyday interactions involving individuals with dementia. Individuals with dementia took a proactive role in eliciting topic-management support. The FCPs responded with turns that facilitated the individuals with dementia to talk on-topic. Clinically, the

Fuzzy Multicriteria Decision Analysis for Adaptive Watershed Management

NASA Astrophysics Data System (ADS)

Chang, N.

2006-12-01

The dramatic changes of societal complexity due to intensive interactions among agricultural, industrial, and municipal sectors have resulted in acute issues of water resources redistribution and water quality management in many river basins. Given the fact that integrated watershed management is more a political and societal than a technical challenge, there is a need for developing a compelling method leading to justify a water-based land use program in some critical regions. Adaptive watershed management is viewed as an indispensable tool nowadays for providing step-wise constructive decision support that is concerned with all related aspects of the water consumption cycle and those facilities affecting water quality and quantity temporally and spatially. Yet the greatest challenge that decision makers face today is to consider how to leverage ambiguity, paradox, and uncertainty to their competitive advantage of management policy quantitatively. This paper explores a fuzzy multicriteria evaluation method for water resources redistribution and subsequent water quality management with respect to a multipurpose channel-reservoir system--the Tseng- Wen River Basin, South Taiwan. Four fuzzy operators tailored for this fuzzy multicriteria decision analysis depict greater flexibility in representing the complexity of various possible trade-offs among management alternatives constrained by physical, economic, and technical factors essential for adaptive watershed management. The management strategies derived may enable decision makers to integrate a vast number of internal weirs, water intakes, reservoirs, drainage ditches, transfer pipelines, and wastewater treatment facilities within the basin and bring up the permitting issue for transboundary diversion from a neighboring river basin. Experience gained indicates that the use of different types of fuzzy operators is highly instructive, which also provide unique guidance collectively for achieving the overarching goals

Risk manager formula for success: Influencing decision making.

PubMed

Midgley, Mike

2017-10-01

Providing the ultimate decision makers with a quantitative risk analysis based on thoughtful assessment by the organization's experts enables an efficient decision. © 2017 American Society for Healthcare Risk Management of the American Hospital Association.

Engaging stakeholders for adaptive management using structured decision analysis

USGS Publications Warehouse

Irwin, Elise R.; Kathryn, D.; Kennedy, Mickett

2009-01-01

Adaptive management is different from other types of management in that it includes all stakeholders (versus only policy makers) in the process, uses resource optimization techniques to evaluate competing objectives, and recognizes and attempts to reduce uncertainty inherent in natural resource systems. Management actions are negotiated by stakeholders, monitored results are compared to predictions of how the system should respond, and management strategies are adjusted in a “monitor-compare-adjust” iterative routine. Many adaptive management projects fail because of the lack of stakeholder identification, engagement, and continued involvement. Primary reasons for this vary but are usually related to either stakeholders not having ownership (or representation) in decision processes or disenfranchisement of stakeholders after adaptive management begins. We present an example in which stakeholders participated fully in adaptive management of a southeastern regulated river. Structured decision analysis was used to define management objectives and stakeholder values and to determine initial flow prescriptions. The process was transparent, and the visual nature of the modeling software allowed stakeholders to see how their interests and values were represented in the decision process. The development of a stakeholder governance structure and communication mechanism has been critical to the success of the project.

Montreal Accord on Patient-Reported Outcomes (PROs) use series - Paper 3: patient-reported outcomes can facilitate shared decision-making and guide self-management.

PubMed

Noonan, Vanessa K; Lyddiatt, Anne; Ware, Patrick; Jaglal, Susan B; Riopelle, Richard J; Bingham, Clifton O; Figueiredo, Sabrina; Sawatzky, Richard; Santana, Maria; Bartlett, Susan J; Ahmed, Sara

2017-09-01

There is a shift toward making health care patient centered, whereby patients are part of medical decision-making and take responsibility for managing their health. Patient-reported outcomes (PROs) capture the patient voice and can be used to engage patients in medical decision-making. The objective of this paper is to present important factors from patients', clinicians', researchers', and decision-makers' perspectives that influence successful adoption of PROs in clinical practice. Factors recommended in this paper were informed by a patient partner. Based on themes arising from the Montreal Accord proceedings, we describe factors that influence the adoption of PROs and how PROs can have a positive effect by enhancing communication and providing opportunities to engage patients, carers, and clinicians in care. Consideration of patient factors (e.g., health literacy), family support and networks (e.g., peer-support networks), technology (e.g., e-health), and health care system factors (e.g., resources to implement PROs) is necessary to ensure PROs are successfully adopted. PRO evaluation plans most likely to succeed over the long term are those incorporating PROs identified by patients as necessary for self-management and that coincide with providers' needs for collaboratively developing treatment plans with patients and families. Copyright © 2017 Elsevier Inc. All rights reserved.

Multi-Sector Sustainability Browser (MSSB) User Manual: A Decision Support Tool (DST) for Supporting Sustainability Efforts in Four Areas - Land Use, Transportation, Buildings and Infrastructure, and Materials Management

EPA Science Inventory

EPA’s Sustainable and Healthy Communities (SHC) Research Program is developing methodologies, resources, and tools to assist community members and local decision makers in implementing policy choices that facilitate sustainable approaches in managing their resources affecti...

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...

"Smart Forms" in an Electronic Medical Record: documentation-based clinical decision support to improve disease management.

PubMed

Schnipper, Jeffrey L; Linder, Jeffrey A; Palchuk, Matvey B; Einbinder, Jonathan S; Li, Qi; Postilnik, Anatoly; Middleton, Blackford

2008-01-01

Clinical decision support systems (CDSS) integrated within Electronic Medical Records (EMR) hold the promise of improving healthcare quality. To date the effectiveness of CDSS has been less than expected, especially concerning the ambulatory management of chronic diseases. This is due, in part, to the fact that clinicians do not use CDSS fully. Barriers to clinicians' use of CDSS have included lack of integration into workflow, software usability issues, and relevance of the content to the patient at hand. At Partners HealthCare, we are developing "Smart Forms" to facilitate documentation-based clinical decision support. Rather than being interruptive in nature, the Smart Form enables writing a multi-problem visit note while capturing coded information and providing sophisticated decision support in the form of tailored recommendations for care. The current version of the Smart Form is designed around two chronic diseases: coronary artery disease and diabetes mellitus. The Smart Form has potential to improve the care of patients with both acute and chronic conditions.

Clinical decision support tool for Co-management signalling.

PubMed

Horta, Alexandra Bayão; Salgado, Cátia; Fernandes, Marta; Vieira, Susana; Sousa, João M; Papoila, Ana Luísa; Xavier, Miguel

2018-05-01

Co-management between internists and surgeons of selected patients is becoming one of the pillars of modern clinical management in large hospitals. Defining the patients to be co-managed is essential. The aim of this study is to create a decision tool using real-world patient data collected in the preoperative period, to support the decision on which patients should have the co-management service offered. Data was collected from the electronic clinical health records of patients who had an International Classification of Diseases, 9th edition (ICD-9) code of colorectal surgery during the period between January 2012 and October 2014 in a 200 bed private teaching hospital in Lisbon. ICD-9 codes of colorectal surgery [48.5 and 48.6 (anterior rectal resection and abdominoperineal resection), 45.7 (partial colectomy), 45.8 (Total Colectomy), and 45.9 (Bowel Anastomosis)] were used. Only patients above 18 years old were considered. Patients with more than one procedure were excluded from the study. From these data the authors investigated the construction of predictive models using logistic regression and Takagi-Sugeno fuzzy modelling. Data contains information obtained from the clinical records of a cohort of 344 adult patients. Data from 398 emergent and elective surgeries were collected, from which 54 were excluded because they were second procedures for the same patients. Four preoperative variables were identified as being the most predictive of co-management, in multivariable regression analysis. The final model performed well after being internally validated (0.81 AUC, 77% accuracy, 74% sensitivity, 78% specificity, 93% negative predictive value). The results indicate that the decision process can be more objective and potentially automated. The authors developed a prediction model based on preoperative characteristics, in order to support the decision for the co-management of surgical patients in the postoperative ward setting. The model is a simple bedside

Use of ultrasonography to make management decisions

USDA-ARS?s Scientific Manuscript database

Transrectal ultrasonography has been available for making management decisions since the mid 1980’s. This technology allows for the real-time visualization of internal structures (i.e. ovary and fetus) that are otherwise difficult to evaluate. The use of this technology in making reproductive manag...

Research on Group Decision-Making Mechanism of Internet Emergency Management

NASA Astrophysics Data System (ADS)

Xie, Kefan; Chen, Gang; Qian, Wu; Shi, Zhao

With the development of information technology, internet has become a popular term and internet emergency has an intensive influence on people's life. This article offers a short history of internet emergency management. It discusses the definition, characteristics, and factor of internet emergency management. A group decision-making mechanism of internet emergency is presented based on the discussion. The authors establish a so-called Rough Set Scenario Flow Graphs (RSSFG) of group decision-making mechanism of internet emergency management and make an empirical analysis based on the RSSFG approach. The experimental results confirm that this approach is effective in internet emergency decision-making.

Studying and Facilitating Dialogue in Select Online Management Courses

ERIC Educational Resources Information Center

Ivancevich, John M.; Gilbert, Jacqueline A.; Konopaske, Robert

2009-01-01

Dialogue is arguably one of the most significant elements of learning in higher education. The premise of this article is that online instructors can creatively facilitate dialogue for effectively teaching online management courses. This article presents a dialogue-focused framework for addressing significant behavioral, structural, and…

Analysis and Management of Animal Populations: Modeling, Estimation and Decision Making

USGS Publications Warehouse

Williams, B.K.; Nichols, J.D.; Conroy, M.J.

2002-01-01

This book deals with the processes involved in making informed decisions about the management of animal populations. It covers the modeling of population responses to management actions, the estimation of quantities needed in the modeling effort, and the application of these estimates and models to the development of sound management decisions. The book synthesizes and integrates in a single volume the methods associated with these themes, as they apply to ecological assessment and conservation of animal populations. KEY FEATURES * Integrates population modeling, parameter estimation and * decision-theoretic approaches to management in a single, cohesive framework * Provides authoritative, state-of-the-art descriptions of quantitative * approaches to modeling, estimation and decision-making * Emphasizes the role of mathematical modeling in the conduct of science * and management * Utilizes a unifying biological context, consistent mathematical notation, * and numerous biological examples

An HL7-CDA wrapper for facilitating semantic interoperability to rule-based Clinical Decision Support Systems.

PubMed

Sáez, Carlos; Bresó, Adrián; Vicente, Javier; Robles, Montserrat; García-Gómez, Juan Miguel

2013-03-01

The success of Clinical Decision Support Systems (CDSS) greatly depends on its capability of being integrated in Health Information Systems (HIS). Several proposals have been published up to date to permit CDSS gathering patient data from HIS. Some base the CDSS data input on the HL7 reference model, however, they are tailored to specific CDSS or clinical guidelines technologies, or do not focus on standardizing the CDSS resultant knowledge. We propose a solution for facilitating semantic interoperability to rule-based CDSS focusing on standardized input and output documents conforming an HL7-CDA wrapper. We define the HL7-CDA restrictions in a HL7-CDA implementation guide. Patient data and rule inference results are mapped respectively to and from the CDSS by means of a binding method based on an XML binding file. As an independent clinical document, the results of a CDSS can present clinical and legal validity. The proposed solution is being applied in a CDSS for providing patient-specific recommendations for the care management of outpatients with diabetes mellitus. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Small Groups' Ecological Reasoning While Making an Environmental Management Decision.

ERIC Educational Resources Information Center

Hogan, Kathleen

2002-01-01

Explores the ideas and reasoning students use to make a collaborative environmental management decision. Compares students' discussions with scientists' guidelines for making environmental management decisions. Finds that whereas across groups students touched on all of the themes that scientists consider to be important for making environmental…

Frequencies of decision making and monitoring in adaptive resource management

PubMed Central

Johnson, Fred A.

2017-01-01

Adaptive management involves learning-oriented decision making in the presence of uncertainty about the responses of a resource system to management. It is implemented through an iterative sequence of decision making, monitoring and assessment of system responses, and incorporating what is learned into future decision making. Decision making at each point is informed by a value or objective function, for example total harvest anticipated over some time frame. The value function expresses the value associated with decisions, and it is influenced by system status as updated through monitoring. Often, decision making follows shortly after a monitoring event. However, it is certainly possible for the cadence of decision making to differ from that of monitoring. In this paper we consider different combinations of annual and biennial decision making, along with annual and biennial monitoring. With biennial decision making decisions are changed only every other year; with biennial monitoring field data are collected only every other year. Different cadences of decision making combine with annual and biennial monitoring to define 4 scenarios. Under each scenario we describe optimal valuations for active and passive adaptive decision making. We highlight patterns in valuation among scenarios, depending on the occurrence of monitoring and decision making events. Differences between years are tied to the fact that every other year a new decision can be made no matter what the scenario, and state information is available to inform that decision. In the subsequent year, however, in 3 of the 4 scenarios either a decision is repeated or monitoring does not occur (or both). There are substantive differences in optimal values among the scenarios, as well as the optimal policies producing those values. Especially noteworthy is the influence of monitoring cadence on valuation in some years. We highlight patterns in policy and valuation among the scenarios, and discuss management

Frequencies of decision making and monitoring in adaptive resource management

USGS Publications Warehouse

Williams, Byron K.; Johnson, Fred A.

2017-01-01

Adaptive management involves learning-oriented decision making in the presence of uncertainty about the responses of a resource system to management. It is implemented through an iterative sequence of decision making, monitoring and assessment of system responses, and incorporating what is learned into future decision making. Decision making at each point is informed by a value or objective function, for example total harvest anticipated over some time frame. The value function expresses the value associated with decisions, and it is influenced by system status as updated through monitoring. Often, decision making follows shortly after a monitoring event. However, it is certainly possible for the cadence of decision making to differ from that of monitoring. In this paper we consider different combinations of annual and biennial decision making, along with annual and biennial monitoring. With biennial decision making decisions are changed only every other year; with biennial monitoring field data are collected only every other year. Different cadences of decision making combine with annual and biennial monitoring to define 4 scenarios. Under each scenario we describe optimal valuations for active and passive adaptive decision making. We highlight patterns in valuation among scenarios, depending on the occurrence of monitoring and decision making events. Differences between years are tied to the fact that every other year a new decision can be made no matter what the scenario, and state information is available to inform that decision. In the subsequent year, however, in 3 of the 4 scenarios either a decision is repeated or monitoring does not occur (or both). There are substantive differences in optimal values among the scenarios, as well as the optimal policies producing those values. Especially noteworthy is the influence of monitoring cadence on valuation in some years. We highlight patterns in policy and valuation among the scenarios, and discuss management

Decision Aids for Multiple-Decision Disease Management as Affected by Weather Input Errors

USDA-ARS?s Scientific Manuscript database

Many disease management decision support systems (DSS) rely, exclusively or in part, on weather inputs to calculate an indicator for disease hazard. Error in the weather inputs, typically due to forecasting, interpolation or estimation from off-site sources, may affect model calculations and manage...

Decision support system for emergency management of oil spill accidents in the Mediterranean Sea

NASA Astrophysics Data System (ADS)

Liubartseva, Svitlana; Coppini, Giovanni; Pinardi, Nadia; De Dominicis, Michela; Lecci, Rita; Turrisi, Giuseppe; Cretì, Sergio; Martinelli, Sara; Agostini, Paola; Marra, Palmalisa; Palermo, Francesco

2016-08-01

This paper presents an innovative web-based decision support system to facilitate emergency management in the case of oil spill accidents, called WITOIL (Where Is The Oil). The system can be applied to create a forecast of oil spill events, evaluate uncertainty of the predictions, and calculate hazards based on historical meteo-oceanographic datasets. To compute the oil transport and transformation, WITOIL uses the MEDSLIK-II oil spill model forced by operational meteo-oceanographic services. Results of the modeling are visualized through Google Maps. A special application for Android is designed to provide mobile access for competent authorities, technical and scientific institutions, and citizens.

Watershed Management Optimization Support Tool (WMOST) v3: User Guide

EPA Science Inventory

The Watershed Management Optimization Support Tool (WMOST) is a decision support tool that facilitates integrated water management at the local or small watershed scale. WMOST models the environmental effects and costs of management decisions in a watershed context that is, accou...

Watershed Management Optimization Support Tool (WMOST) v3: Theoretical Documentation

EPA Science Inventory

The Watershed Management Optimization Support Tool (WMOST) is a decision support tool that facilitates integrated water management at the local or small watershed scale. WMOST models the environmental effects and costs of management decisions in a watershed context, accounting fo...

Decision support models for solid waste management: Review and game-theoretic approaches

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

Karmperis, Athanasios C., E-mail: athkarmp@mail.ntua.gr; Army Corps of Engineers, Hellenic Army General Staff, Ministry of Defence; Aravossis, Konstantinos

Highlights: ► The mainly used decision support frameworks for solid waste management are reviewed. ► The LCA, CBA and MCDM models are presented and their strengths, weaknesses, similarities and possible combinations are analyzed. ► The game-theoretic approach in a solid waste management context is presented. ► The waste management bargaining game is introduced as a specific decision support framework. ► Cooperative and non-cooperative game-theoretic approaches to decision support for solid waste management are discussed. - Abstract: This paper surveys decision support models that are commonly used in the solid waste management area. Most models are mainly developed within three decisionmore » support frameworks, which are the life-cycle assessment, the cost–benefit analysis and the multi-criteria decision-making. These frameworks are reviewed and their strengths and weaknesses as well as their critical issues are analyzed, while their possible combinations and extensions are also discussed. Furthermore, the paper presents how cooperative and non-cooperative game-theoretic approaches can be used for the purpose of modeling and analyzing decision-making in situations with multiple stakeholders. Specifically, since a waste management model is sustainable when considering not only environmental and economic but also social aspects, the waste management bargaining game is introduced as a specific decision support framework in which future models can be developed.« less

Integrating Water Quality and River Rehabilitation Management - A Decision-Analytical Perspective

NASA Astrophysics Data System (ADS)

Reichert, P.; Langhans, S.; Lienert, J.; Schuwirth, N.

2009-04-01

Integrative river management involves difficult decisions about alternative measures to improve their ecological state. For this reason, it seems useful to apply knowledge from the decision sciences to support river management. We discuss how decision-analytical elements can be employed for designing an integrated river management procedure. An important aspect of this procedure is to clearly separate scientific predictions of the consequences of alternatives from objectives to be achieved by river management. The key elements of the suggested procedure are (i) the quantitative elicitation of the objectives from different stakeholder groups, (ii) the compilation of the current scientific knowledge about the consequences of the effects resulting from suggested measures in the form of a probabilistic mathematical model, and (iii) the use of these predictions and valuations to prioritize alternatives, to uncover conflicting objectives, to support the design of better alternatives, and to improve the transparency of communication about the chosen management strategy. The development of this procedure led to insights regarding necessary steps to be taken for rational decision-making in river management, to guidelines about the use of decision-analytical techniques for performing these steps, but also to new insights about the application of decision-analytical techniques in general. In particular, the consideration of the spatial distribution of the effects of measures and the potential added value of connected rehabilitated river reaches leads to favoring measures that have a positive effect beyond a single river reach. As these effects only propagate within the river network, this results in a river basin oriented management concept as a consequence of a rational decision support procedure, rather than as an a priori management paradigm. There are also limitations to the support that can be expected from the decision-analytical perspective. It will not provide the

A comprehensive space management model for facilitating programmatic research.

PubMed

Libecap, Ann; Wormsley, Steven; Cress, Anne; Matthews, Mary; Souza, Angie; Joiner, Keith A

2008-03-01

In FY04, the authors developed and implemented models to manage existing and incremental research space, and to facilitate programmatic research, at the University of Arizona College of Medicine. Benchmarks were set for recovery of total sponsored research dollars and for facilities and administrative (F&A) dollars/net square foot (nsf) of space, based on college-wide metrics. Benchmarks were applied to units (departments, centers), rather than to individual faculty. Performance relative to the benchmark was assessed using three-year moving averages, and applied to existing blocks of space. Space was recaptured or allocated, in all cases to programmatic themes, using uniform policies. F&A revenues were returned on the basis of performance relative to a benchmark. During the first two years after implementation of the model (FY05 and FY06), and for the 24 units occupying research space, median total sponsored research revenue/nsf increased from $393.96 to $474.46 (20.4%), and median F&A revenue/nsf increased from $57.42 to $91.86 (60.0%). These large increases in median values are driven primarily from redistribution and recapturing of space. Recruiting policies for unit heads were developed to facilitate joint hires among units. In combination, these policies created a comprehensive space management model for facilitating programmatic research. Although challenges remain in implementing the programmatic recruitment strategy, and selected modifications to the original policy were introduced later (e.g., research space for newly recruited junior faculty is now exempted from calculations for three years), overall, the models have created a climate of transparency that is now accepted and that allows efficient and equitable management of research space.

Autonomous Task Management and Decision Support Tools

NASA Technical Reports Server (NTRS)

Burian, Barbara

2017-01-01

For some time aircraft manufacturers and researchers have been pursuing mechanisms for reducing crew workload and providing better decision support to the pilots, especially during non-normal situations. Some previous attempts to develop task managers or pilot decision support tools have not resulted in robust and fully functional systems. However, the increasing sophistication of sensors and automated reasoners, and the exponential surge in the amount of digital data that is now available create a ripe environment for the development of a robust, dynamic, task manager and decision support tool that is context sensitive and integrates information from a wide array of on-board and off aircraft sourcesa tool that monitors systems and the overall flight situation, anticipates information needs, prioritizes tasks appropriately, keeps pilots well informed, and is nimble and able to adapt to changing circumstances. This presentation will discuss the many significant challenges and issues associated with the development and functionality of such a system for use on the aircraft flight deck.

Multiobjective decision-making in integrated water management

NASA Astrophysics Data System (ADS)

Pouwels, I. H. M.; Wind, H. G.; Witter, V. J.

1995-08-01

Traditionally, decision-making by water authorities in the Netherlands is largely based on intuition. Their tasks were, after all, relatively few and straight-forward. The growing number of tasks, together with the new integrated approach on water management issues, however, induces water authorities to rationalise their decision process. In order to choose the most effective water management measures, the external effects of these measures need to be taken into account. Therefore, methods have been developed to incorporate these effects in the decision-making phase. Using analytical evaluation methods, the effects of various measures on the water system (physical and chemical quality, ecology and quantity) can be taken into consideration. In this manner a more cognitive way of choosing between alternative measures can be obtained. This paper describes an application of such a decision method on a river basin scale. Main topics, in this paper, are the extent to which uncertainties (in technical information and deficiencies in the techniques applied) limit the usefulness of these methods, and also the question whether these techniques can really be used to select measures that give maximum environmental benefit for minimum cost. It is shown that the influence of these restrictions on the validity of the outcome of the decision methods can be profound. Using these results, improvement of the methods can be realised.

Decision support system for drinking water management

NASA Astrophysics Data System (ADS)

Janža, M.

2012-04-01

The problems in drinking water management are complex and often solutions must be reached under strict time constrains. This is especially distinct in case of environmental accidents in the catchment areas of the wells that are used for drinking water supply. The beneficial tools that can help decision makers and make program of activities more efficient are decision support systems (DSS). In general they are defined as computer-based support systems that help decision makers utilize data and models to solve unstructured problems. The presented DSS was developed in the frame of INCOME project which is focused on the long-term stable and safe drinking water supply in Ljubljana. The two main water resources Ljubljana polje and Barje alluvial aquifers are characterized by a strong interconnection of surface and groundwater, high vulnerability, high velocities of groundwater flow and pollutant transport. In case of sudden pollution, reactions should be very fast to avoid serious impact to the water supply. In the area high pressures arising from urbanization, industry, traffic, agriculture and old environmental burdens. The aim of the developed DSS is to optimize the activities in cases of emergency water management and to optimize the administrative work regarding the activities that can improve groundwater quality status. The DSS is an interactive computer system that utilizes data base, hydrological modelling, and experts' and stakeholders' knowledge. It consists of three components, tackling the different abovementioned issues in water management. The first one utilizes the work on identification, cleaning up and restoration of illegal dumpsites that are a serious threat to the qualitative status of groundwater. The other two components utilize the predictive capability of the hydrological model and scenario analysis. The user interacts with the system by a graphical interface that guides the user step-by-step to the recommended remedial measures. Consequently, the

Decision support system for nursing management control

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

Ernst, C.J.

A knowledge representation approach for expert systems supporting decision processes in business is proposed. A description of a knowledge representation schema using a logic programming metalanguage is described, then the role of such a schema in a management expert system is demonstrated through the problem of nursing management control in hospitals. 18 references.

Monitoring in the context of structured decision-making and adaptive management

USGS Publications Warehouse

Lyons, J.E.; Runge, M.C.; Laskowski, H.P.; Kendall, W.L.

2008-01-01

In a natural resource management setting, monitoring is a crucial component of an informed process for making decisions, and monitoring design should be driven by the decision context and associated uncertainties. Monitoring itself can play >3 roles. First, it is important for state-dependent decision-making, as when managers need to know the system state before deciding on the appropriate course of action during the ensuing management cycle. Second, monitoring is critical for evaluating the effectiveness of management actions relative to objectives. Third, in an adaptive management setting, monitoring provides the feedback loop for learning about the system; learning is sought not for its own sake but primarily to better achieve management objectives. In this case, monitoring should be designed to reduce the critical uncertainties in models of the managed system. The United States Geological Survey and United States Fish and Wildlife Service are conducting a large-scale management experiment on 23 National Wildlife Refuges across the Northeast and Midwest Regions. The primary management objective is to provide habitat for migratory waterbirds, particularly during migration, using water-level manipulations in managed wetlands. Key uncertainties are related to the potential trade-offs created by management for a specific waterbird guild (e.g., migratory shorebirds) and the response of waterbirds, plant communities, and invertebrates to specific experimental hydroperiods. We reviewed the monitoring program associated with this study, and the ways that specific observations fill >1 of the roles identified above. We used observations from our monitoring to improve state-dependent decisions to control undesired plants, to evaluate management performance relative to shallow-water habitat objectives, and to evaluate potential trade-offs between waterfowl and shorebird habitat management. With limited staff and budgets, management agencies need efficient monitoring

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.

How does the context and design of participatory decision-making processes affect their outcomes? Evidence from sustainable land management in global drylands.

NASA Astrophysics Data System (ADS)

de Vente, Joris; Reed, Mark; Stringer, Lindsay; Valente, Sandra; Newig, Jens

2014-05-01

It is widely accepted that the design of participatory processes in environmental management needs to be adapted to local contexts. Yet, it is not clear which elements of process design are universal, making it difficult to design processes that deliver beneficial outcomes across different contexts. We used empirical evidence to analyse the extent to which context and process design can enable or impede stakeholder participation and facilitate beneficial environmental and social outcomes in a range of decision-making contexts where stakeholders are engaged in environmental management. To explore the role of national-scale context on the outcomes of participatory processes, we interviewed facilitators from a process that was replicated across 13 dryland study sites around the world, which focussed on selecting Sustainable Land Management (SLM) options in close collaboration with stakeholders. To explore the role of process design and local context, we interviewed participants and facilitators in 11 case studies in Spain and Portugal in which different process designs were used. Interview data were analysed using a combination of quantitative and qualitative approaches to characterise relationships between process design, context and process outcomes. The similarity of outcomes across the 13 international study sites suggested that the national socio-cultural context in which a participatory process is conducted has little impact on its outcomes. However, analysis of cases from Spain and Portugal showed that some aspects of local context may affect outcomes. Having said this, factors associated with process design and participant selection played a more significant role in influencing outcomes in both countries. Processes that led to more beneficial outcomes for the environment and/or participants were likely to include: the legitimate representation of stakeholders; professional facilitation including structured methods for eliciting and aggregating information and

Contribution of systematic reviews to management decisions.

PubMed

Cook, Carly N; Possingham, Hugh P; Fuller, Richard A

2013-10-01

Systematic reviews comprehensively summarize evidence about the effectiveness of conservation interventions. We investigated the contribution to management decisions made by this growing body of literature. We identified 43 systematic reviews of conservation evidence, 23 of which drew some concrete conclusions relevant to management. Most reviews addressed conservation interventions relevant to policy decisions; only 35% considered practical on-the-ground management interventions. The majority of reviews covered only a small fraction of the geographic and taxonomic breadth they aimed to address (median = 13% of relevant countries and 16% of relevant taxa). The likelihood that reviews contained at least some implications for management tended to increase as geographic coverage increased and to decline as taxonomic breadth increased. These results suggest the breadth of a systematic review requires careful consideration. Reviews identified a mean of 312 relevant primary studies but excluded 88% of these because of deficiencies in design or a failure to meet other inclusion criteria. Reviews summarized on average 284 data sets and 112 years of research activity, yet the likelihood that their results had at least some implications for management did not increase as the amount of primary research summarized increased. In some cases, conclusions were elusive despite the inclusion of hundreds of data sets and years of cumulative research activity. Systematic reviews are an important part of the conservation decision making tool kit, although we believe the benefits of systematic reviews could be significantly enhanced by increasing the number of reviews focused on questions of direct relevance to on-the-ground managers; defining a more focused geographic and taxonomic breadth that better reflects available data; including a broader range of evidence types; and appraising the cost-effectiveness of interventions. © 2013 The Authors. Conservation Biology published by Wiley

A Multi-criterial Decision Support System for Forest Management

Treesearch

Donald Nute; Geneho Kim; Walter D. Potter; Mark J. Twery; H. Michael Rauscher; Scott Thomasma; Deborah Bennett; Peter Kollasch

1999-01-01

We describe a research project that has as its goal development of a full-featured decision support system for managing forested land to satisfy multiple criteria represented as timber, wildlife, water, ecological, and wildlife objectives. The decision process proposed for what was originally conceived of as a Northeast Decision Model (NED) includes data acquisition,...

“Smart Forms” in an Electronic Medical Record: Documentation-based Clinical Decision Support to Improve Disease Management

PubMed Central

Schnipper, Jeffrey L.; Linder, Jeffrey A.; Palchuk, Matvey B.; Einbinder, Jonathan S.; Li, Qi; Postilnik, Anatoly; Middleton, Blackford

2008-01-01

Clinical decision support systems (CDSS) integrated within Electronic Medical Records (EMR) hold the promise of improving healthcare quality. To date the effectiveness of CDSS has been less than expected, especially concerning the ambulatory management of chronic diseases. This is due, in part, to the fact that clinicians do not use CDSS fully. Barriers to clinicians' use of CDSS have included lack of integration into workflow, software usability issues, and relevance of the content to the patient at hand. At Partners HealthCare, we are developing “Smart Forms” to facilitate documentation-based clinical decision support. Rather than being interruptive in nature, the Smart Form enables writing a multi-problem visit note while capturing coded information and providing sophisticated decision support in the form of tailored recommendations for care. The current version of the Smart Form is designed around two chronic diseases: coronary artery disease and diabetes mellitus. The Smart Form has potential to improve the care of patients with both acute and chronic conditions. PMID:18436911

Moral imagination: Facilitating prosocial decision-making through scene imagery and theory of mind.

PubMed

Gaesser, Brendan; Keeler, Kerri; Young, Liane

2018-02-01

How we imagine and subjectively experience the future can inform how we make decisions in the present. Here, we examined a prosocial effect of imagining future episodes in motivating moral decisions about helping others in need, as well as the underlying cognitive mechanisms. Across three experiments we found that people are more willing to help others in specific situations after imagining helping them in those situations. Manipulating the spatial representation of imagined future episodes in particular was effective at increasing intentions to help others, suggesting that scene imagery plays an important role in the prosocial effect of episodic simulation. Path modeling analyses revealed that episodic simulation interacts with theory of mind in facilitating prosocial responses but can also operate independently. Moreover, we found that our manipulations of the imagined helping episode increased actual prosocial behavior, which also correlated with changes in reported willingness to help. Based on these findings, we propose a new model that begins to capture the multifaceted mechanisms by which episodic simulation contributes to prosocial decision-making, highlighting boundaries and promising future directions to explore. Implications for research in moral cognition, imagination, and patients with impairments in episodic simulation are discussed. Copyright © 2017 Elsevier B.V. All rights reserved.

Clinical Decision Support Tools for Osteoporosis Disease Management: A Systematic Review of Randomized Controlled Trials

PubMed Central

Straus, Sharon E.

2008-01-01

BACKGROUND Studies indicate a gap between evidence and clinical practice in osteoporosis management. Tools that facilitate clinical decision making at the point of care are promising strategies for closing these practice gaps. OBJECTIVE To systematically review the literature to identify and describe the effectiveness of tools that support clinical decision making in osteoporosis disease management. DATA SOURCES Medline, EMBASE, CINAHL, and EBM Reviews (CDSR, DARE, CCTR, and ACP J Club), and contact with experts in the field. REVIEW METHODS Randomized controlled trials (RCTs) in any language from 1966 to July 2006 investigating disease management interventions in patients at risk for osteoporosis. Outcomes included fractures and bone mineral density (BMD) testing. Two investigators independently assessed articles for relevance and study quality, and extracted data using standardized forms. RESULTS Of 1,246 citations that were screened for relevance, 13 RCTs met the inclusion criteria. Reported study quality was generally poor. Meta-analysis was not done because of methodological and clinical heterogeneity; 77% of studies included a reminder or education as a component of their intervention. Three studies of reminders plus education targeted to physicians and patients showed increased BMD testing (RR range 1.43 to 8.67) and osteoporosis medication use (RR range 1.60 to 8.67). A physician reminder plus a patient risk assessment strategy found reduced fractures [RR 0.58, 95% confidence interval (CI) 0.37 to 0.90] and increased osteoporosis therapy (RR 2.44, CI 1.43 to 4.17). CONCLUSION Multi-component tools that are targeted to physicians and patients may be effective for supporting clinical decision making in osteoporosis disease management. Electronic supplementary material The online version of this article (doi:10.1007/s11606-008-0812-9) contains supplementary material, which is available to authorized users. PMID:18836782

Markov decision processes in natural resources management: observability and uncertainty

USGS Publications Warehouse

Williams, Byron K.

2015-01-01

The breadth and complexity of stochastic decision processes in natural resources presents a challenge to analysts who need to understand and use these approaches. The objective of this paper is to describe a class of decision processes that are germane to natural resources conservation and management, namely Markov decision processes, and to discuss applications and computing algorithms under different conditions of observability and uncertainty. A number of important similarities are developed in the framing and evaluation of different decision processes, which can be useful in their applications in natural resources management. The challenges attendant to partial observability are highlighted, and possible approaches for dealing with it are discussed.

A novel medical information management and decision model for uncertain demand optimization.

PubMed

Bi, Ya

2015-01-01

Accurately planning the procurement volume is an effective measure for controlling the medicine inventory cost. Due to uncertain demand it is difficult to make accurate decision on procurement volume. As to the biomedicine sensitive to time and season demand, the uncertain demand fitted by the fuzzy mathematics method is obviously better than general random distribution functions. To establish a novel medical information management and decision model for uncertain demand optimization. A novel optimal management and decision model under uncertain demand has been presented based on fuzzy mathematics and a new comprehensive improved particle swarm algorithm. The optimal management and decision model can effectively reduce the medicine inventory cost. The proposed improved particle swarm optimization is a simple and effective algorithm to improve the Fuzzy interference and hence effectively reduce the calculation complexity of the optimal management and decision model. Therefore the new model can be used for accurate decision on procurement volume under uncertain demand.

Healthcare managers' decision making: findings of a small scale exploratory study.

PubMed

Macdonald, Jackie; Bath, Peter A; Booth, Andrew

2008-12-01

Managers who work in publicly funded healthcare organizations are an understudied group. Some of the influences on their decisions may be unique to healthcare. This study considers how to integrate research knowledge effectively into healthcare managers' decision making, and how to manage and integrate information that will include community data. This first phase in a two-phase mixed methods research study used a qualitative, multiple case studies design. Nineteen semi-structured interviews were undertaken using the critical incident technique. Interview transcripts were analysed using the NatCen Framework. One theme represented ;information and decisions'. Cases were determined to involve complex multi-level, multi-situational decisions with participants in practical rather than ceremonial work roles. Most considered organizational knowledge in the first two decision phases and external knowledge, including research, in the third phase. All participants engaged in satisficing to some degree.

Time to decision: the drivers of innovation adoption decisions

NASA Astrophysics Data System (ADS)

Ciganek, Andrew Paul; (Dave) Haseman, William; Ramamurthy, K.

2014-03-01

Organisations desire timeliness. Timeliness facilitates a better responsiveness to changes in an organisation's external environment to either attain or maintain competitiveness. Despite its importance, decision timeliness has not been explicitly examined. Decision timeliness is measured in this study as the time taken to commit to a decision. The research objective is to identify the drivers of decision timeliness in the context of adopting service-oriented architecture (SOA), an innovation for enterprise computing. A research model rooted in the technology-organisation-environment (TOE) framework is proposed and tested with data collected in a large-scale study. The research variables have been examined before in the context of adoption, but their applicability to the timeliness of innovation decision-making has not received much attention and their salience is unclear. The results support multiple hypothesised relationships, including the finding that a risk-oriented organisational culture as well as normative and coercive pressures accelerates decision timeliness. Top management support as well as the traditional innovation attributes (compatibility, relative advantage and complexity/ease-of-use) were not found to be significant when examining their influence on decision timeliness, which appears inconsistent with generally accepted knowledge and deserves further examination.

Decision problems in management of construction projects

NASA Astrophysics Data System (ADS)

Szafranko, E.

2017-10-01

In a construction business, one must oftentimes make decisions during all stages of a building process, from planning a new construction project through its execution to the stage of using a ready structure. As a rule, the decision making process is made more complicated due to certain conditions specific for civil engineering. With such diverse decision situations, it is recommended to apply various decision making support methods. Both, literature and hands-on experience suggest several methods based on analytical and computational procedures, some less and some more complex. This article presents the methods which can be helpful in supporting decision making processes in the management of civil engineering projects. These are multi-criteria methods, such as MCE, AHP or indicator methods. Because the methods have different advantages and disadvantages, whereas decision situations have their own specific nature, a brief summary of the methods alongside some recommendations regarding their practical applications has been given at the end of the paper. The main aim of this article is to review the methods of decision support and their analysis for possible use in the construction industry.

Development of Asset Management Decision Support Tools for Power Equipment

NASA Astrophysics Data System (ADS)

Okamoto, Tatsuki; Takahashi, Tsuguhiro

Development of asset management decision support tools become very intensive in order to reduce maintenance cost of power equipment due to the liberalization of power business. This article reviews some aspects of present status of asset management decision support tools development for power equipment based on the papers published in international conferences, domestic conventions, and several journals.

"Making Do" Decisions: How Home Healthcare Personnel Manage Their Exposure to Home Hazards.

PubMed

Wills, Celia E; Polivka, Barbara J; Darragh, Amy; Lavender, Steven; Sommerich, Carolyn; Stredney, Donald

2016-04-01

This study describes the decision-making processes home healthcare personnel (HHP) use to manage their personal health and safety when managing hazards in client homes. A professionally diverse national sample of 68 HHP participated in individual semi-structured interviews and focus group discussions, and described their decision making and strategies for hazard management in their work environments. HHP described 353 hazard management dilemmas within 394 specifically identified hazards, which were clustered within three broader categories: electrical/fire, slip/trip/lift, and environmental exposures. HHP described multiple types of "making do" decisions for hazard management solutions in which perceived and actual resource limitations constrained response options. A majority of hazard management decisions in the broader hazards categories (72.5%, 68.5%, and 63.5%, respectively) were classifiable as less than optimal. These findings stress the need for more support of HHPs, including comprehensive training, to improve HHP decision making and hazard management strategies, especially in context of resource constraints. © The Author(s) 2015.

Information in medical decision making: how consistent is our management?

PubMed

Lorence, Daniel P; Spink, Amanda; Jameson, Robert

2002-01-01

The use of outcomes data in clinical environments requires a correspondingly greater variety of information used in decision making, the measurement of quality, and clinical performance. As information becomes integral in the decision-making process, trustworthy decision support data are required. Using data from a national census of certified health information managers, variation in automated data quality management practices was examined. Relatively low overall adoption of automated data management exists in health care organizations, with significant geographic and practice setting variation. Nonuniform regional adoption of computerized data management exists, despite national mandates that promote and in some cases require uniform adoption. Overall, a significant number of respondents (42.7%) indicated that they had not adopted policies and procedures to direct the timeliness of data capture, with 57.3% having adopted such practices. The inconsistency of patient data policy suggests that provider organizations do not use uniform information management methods, despite growing federal mandates to do so.

The disruption management model.

PubMed

McAlister, James

2011-10-01

Within all organisations, business continuity disruptions present a set of dilemmas that managers may not have dealt with before in their normal daily duties. The disruption management model provides a simple but effective management tool to enable crisis management teams to stay focused on recovery in the midst of a business continuity incident. The model has four chronological primary headlines, which steer the team through a quick-time crisis decision-making process. The procedure facilitates timely, systematic, rationalised and justified decisions, which can withstand post-event scrutiny. The disruption management model has been thoroughly tested within an emergency services environment and is proven to significantly support clear and concise decision making in a business continuity context.

Insect pest management decisions in food processing facilities

USDA-ARS?s Scientific Manuscript database

Pest management decision making in food processing facilities such as flour mills, rice mills, human and pet food manufacturing facilities, distribution centers and warehouses, and retail stores is a challenging undertaking. Insect pest management programs require an understanding of the food facili...

Voice, perceived fairness, agency trust, and acceptance of management decisions among Minnesota anglers

USGS Publications Warehouse

Schroeder, Susan A.; Fulton, David C.

2017-01-01

Although researchers agree that public participation in natural resource decision making is critical to institutional acceptance by stakeholders and the general public, the processes to gain public perceptions of fairness, agency trust, and acceptance of management decisions are not clear. Using results from a mail survey of Minnesota resident anglers, we used structural equation modeling to examine how instrumental versus symbolic motives related to anglers’ perceptions of agency fairness, trustworthiness, and ultimately acceptance of fisheries management decisions. We applied laboratory research on relationships among procedural fairness, trust, and management acceptance, and then tested models incorporating anglers’ perceptions of voice for anglers and nonanglers in management decisions. Results suggested that trust fully mediated the relationship between procedural fairness and management acceptance. Angler perceptions of angler and nonangler voice both related to views of procedural fairness, but angler voice was more strongly related and was also significantly related to acceptance of management decisions.

Managing Decisions on Changes in the Virtual Enterprise Evolution

NASA Astrophysics Data System (ADS)

Drissen-Silva, Marcus Vinicius; Rabelo, Ricardo José

VE evolution deals with problems that happen during the VE operation and that put on risk planned results. This requires the application of problem-solving mechanisms to guarantee the construction of a new but feasible VE plan. Grounded on Project Management and Decision Support Systems foundations, this paper proposes a distributed collaborative decision support system to manage the VE evolution. Its main rationale is that VE’s members are autonomous and hence that all the affected partners should discuss about the necessary changes on the current VE’s plan. In the proposed approach, this discussion is guided by a decision protocol, and the impact of decisions can be evaluated. Results of a first prototype implementation are presented and discussed, with a special focus on the part which regulates the argumentation, voting and comparison of possible solutions.

Simple Tools to Facilitate Project Management of a Nursing Research Project.

PubMed

Aycock, Dawn M; Clark, Patricia C; Thomas-Seaton, LaTeshia; Lee, Shih-Yu; Moloney, Margaret

2016-07-01

Highly organized project management facilitates rigorous study implementation. Research involves gathering large amounts of information that can be overwhelming when organizational strategies are not used. We describe a variety of project management and organizational tools used in different studies that may be particularly useful for novice researchers. The studies were a multisite study of caregivers of stroke survivors, an Internet-based diary study of women with migraines, and a pilot study testing a sleep intervention in mothers of low-birth-weight infants. Project management tools were used to facilitate enrollment, data collection, and access to results. The tools included protocol and eligibility checklists, event calendars, screening and enrollment logs, instrument scoring tables, and data summary sheets. These tools created efficiency, promoted a positive image, minimized errors, and provided researchers with a sense of control. For the studies described, there were no protocol violations, there were minimal missing data, and the integrity of data collection was maintained. © The Author(s) 2016.

Using real options analysis to support strategic management decisions

NASA Astrophysics Data System (ADS)

Kabaivanov, Stanimir; Markovska, Veneta; Milev, Mariyan

2013-12-01

Decision making is a complex process that requires taking into consideration multiple heterogeneous sources of uncertainty. Standard valuation and financial analysis techniques often fail to properly account for all these sources of risk as well as for all sources of additional flexibility. In this paper we explore applications of a modified binomial tree method for real options analysis (ROA) in an effort to improve decision making process. Usual cases of use of real options are analyzed with elaborate study on the applications and advantages that company management can derive from their application. A numeric results based on extending simple binomial tree approach for multiple sources of uncertainty are provided to demonstrate the improvement effects on management decisions.

Policy, practice and decision making for zoonotic disease management: water and Cryptosporidium.

PubMed

Austin, Zoë; Alcock, Ruth E; Christley, Robert M; Haygarth, Philip M; Heathwaite, A Louise; Latham, Sophia M; Mort, Maggie; Oliver, David M; Pickup, Roger; Wastling, Jonathan M; Wynne, Brian

2012-04-01

Decision making for zoonotic disease management should be based on many forms of appropriate data and sources of evidence. However, the criteria and timing for policy response and the resulting management decisions are often altered when a disease outbreak occurs and captures full media attention. In the case of waterborne disease, such as the robust protozoa, Cryptosporidium spp, exposure can cause significant human health risks and preventing exposure by maintaining high standards of biological and chemical water quality remains a priority for water companies in the UK. Little has been documented on how knowledge and information is translated between the many stakeholders involved in the management of Cryptosporidium, which is surprising given the different drivers that have shaped management decisions. Such information, coupled with the uncertainties that surround these data is essential for improving future management strategies that minimise disease outbreaks. Here, we examine the interplay between scientific information, the media, and emergent government and company policies to examine these issues using qualitative and quantitative data relating to Cryptosporidium management decisions by a water company in the North West of England. Our results show that political and media influences are powerful drivers of management decisions if fuelled by high profile outbreaks. Furthermore, the strength of the scientific evidence is often constrained by uncertainties in the data, and in the way knowledge is translated between policy levels during established risk management procedures. In particular, under or over-estimating risk during risk assessment procedures together with uncertainty regarding risk factors within the wider environment, was found to restrict the knowledge-base for decision-making in Cryptosporidium management. Our findings highlight some key current and future challenges facing the management of such diseases that are widely applicable to other

Barriers and facilitators of evidence-based management of patients with bacterial infections among general dental practitioners: a theory-informed interview study.

PubMed

Newlands, Rumana; Duncan, Eilidh M; Prior, Maria; Elouafkaoui, Paula; Elders, Andrew; Young, Linda; Clarkson, Jan E; Ramsay, Craig R

2016-01-29

General dental practitioners (GDPs) regularly prescribe antibiotics to manage dental infections although most infections can be treated successfully by local measures. Published guidance to support GDPs to make appropriate prescribing decisions exists but there continues to be wide variation in dental antibiotic prescribing. An interview study was conducted as part of the Reducing Antibiotic Prescribing in Dentistry (RAPiD) trial to understand the barriers and facilitators of using local measures instead of prescribing antibiotics to manage bacterial infections. Thirty semi-structured one-to-one telephone interviews were conducted using the Theoretical Domains Framework (TDF). Responses were coded into domains of the TDF and sub-themes. Priority domains (high frequency: ≥50 % interviewees discussed) relevant to behaviour change were identified as targets for future intervention efforts and mapped onto 'intervention functions' of the Behaviour Change Wheel system. Five domains (behavioural regulation, social influences, reinforcement, environmental context and resources, and beliefs about consequences) with seven sub-themes were identified as targets for future intervention. All participants had knowledge about the evidence-based management of bacterial infections, but they reported difficulties in following this due to patient factors and time management. Lack of time was found to significantly influence their decision processes with regard to performing local measures. Beliefs about their capabilities to overcome patient influence, beliefs that performing local measures would impact on subsequent appointment times as well as there being no incentives for performing local measures were also featured. Though no knowledge or basic skills issues were identified, the participants suggested some continuous professional development programmes (e.g. time management, an overview of published guidance) to address some of the barriers. The domain results suggest a number

Interdisciplinary Collaborative Learning: Using Decision Analysts to Enhance Undergraduate International Management Education

ERIC Educational Resources Information Center

Palocsay, Susan W.; White, Marion M.; Zimmerman, D. Kent

2004-01-01

This article describes an experiential learning activity designed to promote the development of decision-making skills in international management students at the undergraduate level. Students from an undergraduate management science course in decision analysis served as consultants on a case assigned to teams in an international management class.…

Decision making and senior management: the implementation of change projects covering clinical management in SUS hospitals.

PubMed

Pacheco, José Márcio da Cunha; Gomes, Romeu

2016-08-01

This paper analyses the decision making process for senior management in public hospitals that are a part of the National Health Service in Brazil (hereafter SUS) in relation to projects aimed at changing clinical management. The methodological design of this study is qualitative in nature taking a hermeneutics-dialectics perspective in terms of results. Hospital directors noted that clinical management projects changed the state of hospitals through: improving their organizations, mobilizing their staff in order to increase a sense of order and systemizing actions and available resources. Technical rationality was the principal basis used in the decision making process for managers. Due to the reality of many hospitals having fragmented organizations, this fact impeded the use of aspects related to rationality, such as economic and financial factors in the decision making process. The incremental model and general politics also play a role in this area. We concluded that the decision making process embraces a large array of factors including rational aspects such as the use of management techniques and the ability to analyze, interpret and summarize. It also incorporates subjective elements such as how to select values and dealing with people's working experiences. We recognized that management problems are wide in scope, ambiguous, complex and do not come with a lot of structure in practice.

Use of ultrasonography to make reproductive management decisions

USDA-ARS?s Scientific Manuscript database

Transrectal ultrasonography has been available for making management decisions since the mid 1980’s. This technology allows for the real-time visualization of internal structures (i.e. ovary and fetus) that are otherwise difficult to evaluate. The use of this technology in making reproductive manag...

Management of complex knowledge in planning for sustainable development: The use of multi-criteria decision aids

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

Kain, Jaan-Henrik; Soederberg, Henriette

2008-01-15

The vision of sustainable development entails new and complex planning situations, confronting local policy makers with changing political conditions, different content in decision making and planning and new working methods. Moreover, the call for sustainable development has been a major driving force towards an increasingly multi-stakeholder planning system. This situation requires competence in working in, and managing, groups of actors, including not only experts and project owners but also other categories of stakeholders. Among other qualities, such competence requires a working strategy aimed at integrating various, and sometimes incommensurable, forms of knowledge to construct a relevant and valid knowledge basemore » prior to decision making. Consequently, there lies great potential in methods that facilitate the evaluation of strategies for infrastructural development across multiple knowledge areas, so-called multi-criteria decision aids (MCDAs). In the present article, observations from six case studies are discussed, where the common denominators are infrastructural planning, multi-stakeholder participation and the use of MCDAs as interactive decision support. Three MCDAs are discussed - NAIADE, SCA and STRAD - with an emphasis on how they function in their procedural context. Accordingly, this is not an analysis of MCDA algorithms, of software programming aspects or of MCDAs as context-independent 'decision machines'-the focus is on MCDAs as actor systems, not as expert systems. The analysis is carried out across four main themes: (a) symmetrical management of different forms of knowledge; (b) management of heterogeneity, pluralism and conflict; (c) functionality and ease of use; and (d) transparency and trust. It shows that STRAD, by far, seems to be the most useful MCDA in interactive settings. NAIADE and SCA are roughly equivalent but have their strengths and weaknesses in different areas. Moreover, it was found that some MCDA issues require

Stakeholder involvement facilitates decision making for UK nuclear accident recovery.

PubMed

Alexander, C; Burt, R; Nisbet, A F

2005-01-01

The importance of major stakeholders participating in the formulation of strategies for maintaining food safety and agricultural production following a nuclear accident has been successfully demonstrated by the UK 'Agriculture and Food Countermeasures Working Group' (AFCWG). The organisation, membership and terms of reference of the group are described. Details are given of the achievements of the AFCWG and its sub-groups, which include agreeing management options that would be included in a recovery handbook for decision-makers in the UK and tackling the disposal of large volumes of contaminated milk, potentially resulting from a nuclear accident.

Facilitating adherence to the tobacco use treatment guideline with computer-mediated decision support systems: physician and clinic office manager perspectives.

PubMed

Marcy, Theodore W; Skelly, Joan; Shiffman, Richard N; Flynn, Brian S

2005-08-01

A majority of physicians do not adhere to all the elements of the evidence-based USPHS guideline on tobacco use and dependence treatment. Among physicians and clinic office managers in Vermont we assessed perceived barriers to guideline adherence. We then assessed attitudes towards a computer-mediated clinical decision support system (CDSS) to gauge whether this type of intervention could support performance of the guideline. A random sample of 600 Vermont primary care and subspecialty physicians were surveyed with a mailed survey instrument. A separate survey instrument was mailed to the census of 93 clinic office managers. The response rates of physicians and clinic office managers were 67% and 76%, respectively. Though most physicians were aware of the guideline and had positive attitudes towards it, there was a lack of familiarity with Vermont's smoking cessation resources as 35% would refer smokers to non-existent counseling resources and only 48% would refer patients to a toll-free quit line. Time constraints and the perception that smokers are unreceptive to counseling were the two most common barriers cited by both physicians and office managers. The vast majority of physicians (92%) have access to a computer in their outpatient clinics, and 68% have used computers during the course of a patient's visit. Four of the eight information management services that a CDSS could provide were highly valued by both physicians and clinic office managers. Interventions to improve adherence to the guideline should address the inaccurate perception that smokers are unreceptive to counseling, and physicians' lack of familiarity with resources. A CDSS may improve knowledge of these resources if the design addresses cost, space, and time limitations.

Facilitating an L2 Book Club: A Conversation-Analytic Study of Task Management

ERIC Educational Resources Information Center

Ro, Eunseok

2018-01-01

This study employs conversation analysis to examine a facilitator's interactional practices in the post-expansion phase of students' presentations in the context of a book club for second language learning. The analysis shows how the facilitator establishes intersubjectivity with regard to the ongoing task and manages students' task performance.…

Integrating environmental monitoring with cumulative effects management and decision making.

PubMed

Cronmiller, Joshua G; Noble, Bram F

2018-05-01

Cumulative effects (CE) monitoring is foundational to emerging regional and watershed CE management frameworks, yet monitoring is often poorly integrated with CE management and decision-making processes. The challenges are largely institutional and organizational, more so than scientific or technical. Calls for improved integration of monitoring with CE management and decision making are not new, but there has been limited research on how best to integrate environmental monitoring programs to ensure credible CE science and to deliver results that respond to the more immediate questions and needs of regulatory decision makers. This paper examines options for the integration of environmental monitoring with CE frameworks. Based on semistructured interviews with practitioners, regulators, and other experts in the Lower Athabasca, Alberta, Canada, 3 approaches to monitoring system design are presented. First, a distributed monitoring system, reflecting the current approach in the Lower Athabasca, where monitoring is delegated to different external programs and organizations; second, a 1-window system in which monitoring is undertaken by a single, in-house agency for the purpose of informing management and regulatory decision making; third, an independent system driven primarily by CE science and understanding causal relationships, with knowledge adopted for decision support where relevant to specific management questions. The strengths and limitations of each approach are presented. A hybrid approach may be optimal-an independent, nongovernment, 1-window model for CE science, monitoring, and information delivery-capitalizing on the strengths of distributed, 1-window, and independent monitoring systems while mitigating their weaknesses. If governments are committed to solving CE problems, they must invest in the long-term science needed to do so; at the same time, if science-based monitoring programs are to be sustainable over the long term, they must be responsive to

Implementation of a Tool to Enhance Evidence-Informed Decision Making in Public Health: Identifying Barriers and Facilitating Factors

ERIC Educational Resources Information Center

van der Heide, Iris; van der Noordt, Maaike; Proper, Karin I.; Schoemaker, Casper; van den Berg, Matthijs; Hamberg-van Reenen, Heleen H.

2016-01-01

One of the barriers regarding evidence-informed decision making is the gap between the needs of policy makers and the ways researchers present evidence. This pilot study evaluates the barriers and facilitators to the implementation of a tool to enhance transparent and unambiguous communication on scientific evidence by knowledge workers.…

The Watershed and River Systems Management Program: Decision Support for Water- and Environmental-Resource Management

NASA Astrophysics Data System (ADS)

Leavesley, G.; Markstrom, S.; Frevert, D.; Fulp, T.; Zagona, E.; Viger, R.

2004-12-01

Increasing demands for limited fresh-water supplies, and increasing complexity of water-management issues, present the water-resource manager with the difficult task of achieving an equitable balance of water allocation among a diverse group of water users. The Watershed and River System Management Program (WARSMP) is a cooperative effort between the U.S. Geological Survey (USGS) and the Bureau of Reclamation (BOR) to develop and deploy a database-centered, decision-support system (DSS) to address these multi-objective, resource-management problems. The decision-support system couples the USGS Modular Modeling System (MMS) with the BOR RiverWare tools using a shared relational database. MMS is an integrated system of computer software that provides a research and operational framework to support the development and integration of a wide variety of hydrologic and ecosystem models, and their application to water- and ecosystem-resource management. RiverWare is an object-oriented reservoir and river-system modeling framework developed to provide tools for evaluating and applying water-allocation and management strategies. The modeling capabilities of MMS and Riverware include simulating watershed runoff, reservoir inflows, and the impacts of resource-management decisions on municipal, agricultural, and industrial water users, environmental concerns, power generation, and recreational interests. Forecasts of future climatic conditions are a key component in the application of MMS models to resource-management decisions. Forecast methods applied in MMS include a modified version of the National Weather Service's Extended Streamflow Prediction Program (ESP) and statistical downscaling from atmospheric models. The WARSMP DSS is currently operational in the Gunnison River Basin, Colorado; Yakima River Basin, Washington; Rio Grande Basin in Colorado and New Mexico; and Truckee River Basin in California and Nevada.

Data collection and information presentation for optimal decision making by clinical managers--the Autocontrol Project.

PubMed Central

Grant, A. M.; Richard, Y.; Deland, E.; Després, N.; de Lorenzi, F.; Dagenais, A.; Buteau, M.

1997-01-01

The Autocontrol methodology has been developed in order to support the optimisation of decision-making and the use of resources in the context of a clinical unit. The theoretical basis relates to quality assurance and information systems and is influenced by management and cognitive research in the health domain. The methodology uses population rather than individual decision making and because of its dynamic feedback design promises to have rapid and profound effect on practice. Most importantly the health care professional is the principle user of the Autocontrol system. In this methodology we distinguish three types of evidence necessary for practice change: practice based or internal evidence, best evidence derived from the literature or external evidence concerning the practice in question, and process based evidence on how to optimise the process of practice change. The software used by the system is of the executive decision support type which facilitates interrogation of large databases. The Autocontrol system is designed to interrogate the data of the patient medical record however the latter often lacks data on concomitant resource use and this must be supplemented. This paper reviews the Autocontrol methodology and gives examples from current studies. PMID:9357733

Data collection and information presentation for optimal decision making by clinical managers--the Autocontrol Project.

PubMed

Grant, A M; Richard, Y; Deland, E; Després, N; de Lorenzi, F; Dagenais, A; Buteau, M

1997-01-01

The Autocontrol methodology has been developed in order to support the optimisation of decision-making and the use of resources in the context of a clinical unit. The theoretical basis relates to quality assurance and information systems and is influenced by management and cognitive research in the health domain. The methodology uses population rather than individual decision making and because of its dynamic feedback design promises to have rapid and profound effect on practice. Most importantly the health care professional is the principle user of the Autocontrol system. In this methodology we distinguish three types of evidence necessary for practice change: practice based or internal evidence, best evidence derived from the literature or external evidence concerning the practice in question, and process based evidence on how to optimise the process of practice change. The software used by the system is of the executive decision support type which facilitates interrogation of large databases. The Autocontrol system is designed to interrogate the data of the patient medical record however the latter often lacks data on concomitant resource use and this must be supplemented. This paper reviews the Autocontrol methodology and gives examples from current studies.

Development of a Tool to Measure Youths' Food Allergy Management Facilitators and Barriers.

PubMed

Herbert, Linda Jones; Lin, Adora; Matsui, Elizabeth; Wood, Robert A; Sharma, Hemant

2016-04-01

This study's aims are to identify factors related to allergen avoidance and epinephrine carriage among youth with food allergy, develop a tool to measure food allergy management facilitators and barriers, and investigate its initial reliability and validity.  The Food Allergy Management Perceptions Questionnaire (FAMPQ) was developed based on focus groups with 19 adolescents and young adults with food allergy. Additional youth with food allergy (N = 92; ages: 13-21 years) completed food allergy clinical history and management questionnaires and the FAMPQ.  Internal reliability estimates for the FAMPQ Facilitators and Barriers subscales were acceptable to good. Youth who were adherent to allergen avoidance and epinephrine carriage had higher Facilitator scores. Poor adherence was more likely among youth with higher Barrier scores.  Initial FAMPQ reliability and validity is promising. Additional research is needed to develop FAMPQ clinical guidelines. © The Author 2015. Published by Oxford University Press on behalf of the Society of Pediatric Psychology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Using basic geographic information systems functionality to support sustainable forest management decision making and post-decision assessments

Treesearch

Ronald E. McRoberts; R. James Barbour; Krista M. Gebert; Greg C. Liknes; Mark D. Nelson; Dacia M. Meneguzzo; et al.

2006-01-01

Sustainable management of natural resources requires informed decision making and post-decision assessments of the results of those decisions. Increasingly, both activities rely on analyses of spatial data in the forms of maps and digital data layers. Fortunately, a variety of supporting maps and data layers rapidly are becoming available. Unfortunately, however, user-...

Water Management Decisions within a Changing Hydrologic Environment

NASA Astrophysics Data System (ADS)

Wegner, D. L.

2013-12-01

Across the United States and around the world we are facing unprecedented demands on our surface and ground water. Increasing population demands coupled with maintaining water quality, supporting species and ecosystem services, distribution of supply, hydrologic variability associated with changing climatic conditions - all require us to look more rigorously at the intersection of policy, management and science. The water supply and hydroelectric constituencies has embraced the concept of Adaptive Management in balancing the needs of resources, people, economies and providing ecosystem support. In its infancy Adaptive Management was employed as a way to move forward on dam operation and reservoir management decisions while recognizing the unknowns of how up or downstream physical and biological elements of freshwater systems would respond. River science at the time was not mature or expansive enough to address the interrelated and complex impacts of the nuances of changing operations of dams. Adaptive Management, the concept, made good sense and has provided a framework to inform management and policy decisions while keeping the door open for integrating new knowledge into a management matrix - the essence of adaptation. The application of Adaptive Management principles has continued to expand as water management demands increase. The application and reality of the use of Adaptive Management has had variable success. In the United States we have over 25 federal agencies that have water in their mission statements. Combine this with 50 states with their own water management requirements, Native American Tribes, and countless watershed and local water supply constraints and you get a sense of the challenge associated with collaborating and addressing water management issues. Without having a set of national water objectives and goals (a National Water Policy) it is up to the collaboration and integration of the multiple water silos with appropriate science. It is

Development of transportation asset management decision support tools : final report.

DOT National Transportation Integrated Search

2017-08-09

This study developed a web-based prototype decision support platform to demonstrate the benefits of transportation asset management in monitoring asset performance, supporting asset funding decisions, planning budget tradeoffs, and optimizing resourc...

Structuring decisions for managing threatened and endangered species in a changing climate.

PubMed

Gregory, Robin; Arvai, Joseph; Gerber, Leah R

2013-12-01

The management of endangered species under climate change is a challenging and often controversial task that incorporates input from a variety of different environmental, economic, social, and political interests. Yet many listing and recovery decisions for endangered species unfold on an ad hoc basis without reference to decision-aiding approaches that can improve the quality of management choices. Unlike many treatments of this issue, which consider endangered species management a science-based problem, we suggest that a clear decision-making process is equally necessary. In the face of new threats due to climate change, managers' choices about endangered species require closely linked analyses and deliberations that identify key objectives and develop measurable attributes, generate and compare management alternatives, estimate expected consequences and key sources of uncertainty, and clarify trade-offs across different dimensions of value. Several recent cases of endangered species conservation decisions illustrate our proposed decision-focused approach, including Gulf of Maine Atlantic salmon (Salmo salar) recovery framework development, Cultus Lake sockeye salmon (Oncorhynchus nerka) management, and Upper Columbia River white sturgeon (Acipenser transmontanus) recovery planning. Estructuración de Decisiones para Manejar Especies Amenazadas y en Peligro en un Clima Cambiante. © 2013 Society for Conservation Biology No claim to original US government works.

Management Data for Selection Decisions in Building Library Collections.

ERIC Educational Resources Information Center

Hamaker, Charles A.

1992-01-01

Discusses the use of library management data, particularly circulation data, in making selection decisions for library collection development based on experiences at Louisiana State University. Development of a collection based on actual use rather than perceived research needs is considered, and the decision-making process for serials…

Decision space for health workforce management in decentralized settings: a case study in Uganda.

PubMed

Alonso-Garbayo, Alvaro; Raven, Joanna; Theobald, Sally; Ssengooba, Freddie; Nattimba, Milly; Martineau, Tim

2017-11-01

The aim of this paper is to improve understanding about how district health managers perceive and use their decision space for human resource management (HRM) and how this compares with national policies and regulatory frameworks governing HRM. The study builds upon work undertaken by PERFORM Research Consortium in Uganda using action-research to strengthen human resources management in the health sector. To assess the decision space that managers have in six areas of HRM (e.g. policy, planning, remuneration and incentives, performance management, education and information) the study compares the roles allocated by Uganda's policy and regulatory frameworks with the actual room for decision-making that district health managers perceive that they have. Results show that in some areas District Health Management Team (DHMT) members make decisions beyond their conferred authority while in others they do not use all the space allocated by policy. DHMT members operate close to the boundaries defined by public policy in planning, remuneration and incentives, policy and performance management. However, they make decisions beyond their conferred authority in the area of information and do not use all the space allocated by policy in the area of education. DHMTs' decision-making capacity to manage their workforce is influenced by their own perceived authority and sometimes it is constrained by decisions made at higher levels. We can conclude that decentralization, to improve workforce performance, needs to devolve power further down from district authorities onto district health managers. DHMTs need not only more power and authority to make decisions about their workforce but also more control over resources to be able to implement these decisions. © The Author 2017. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Facilitating the improved management of waste in South Africa through a national waste information system

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

Godfrey, Linda

2008-07-01

Developing a waste information system (WIS) for a country is more than just about collecting routine data on waste; it is about facilitating the improved management of waste by providing timely, reliable information to the relevant role-players. It is a means of supporting the waste governance challenges facing South Africa - challenges ranging from strategic waste management issues at national government to basic operational challenges at local government. The paper addresses two hypotheses. The first is that the identified needs of government can provide a platform from which to design a national WIS framework for a developing country such asmore » South Africa, and the second is that the needs for waste information reflect greater, currently unfulfilled challenges in the sustainable management of waste. Through a participatory needs analysis process, it is shown that waste information is needed by the three spheres of government, to support amongst others, informed planning and decision-making, compliance monitoring and enforcement, community participation through public access to information, human, infrastructure and financial resource management and policy development. These needs for waste information correspond closely with key waste management challenges currently facing the country. A shift in governments approach to waste, in line with national and international policy, is evident from identified current and future waste information needs. However, the need for information on landfilling remains entrenched within government, possibly due to the poor compliance of landfill sites in South Africa and the problems around the illegal disposal of both general and hazardous waste.« less

Bayesian inference and decision theory - A framework for decision making in natural resource management

USGS Publications Warehouse

Dorazio, R.M.; Johnson, F.A.

2003-01-01

Bayesian inference and decision theory may be used in the solution of relatively complex problems of natural resource management, owing to recent advances in statistical theory and computing. In particular, Markov chain Monte Carlo algorithms provide a computational framework for fitting models of adequate complexity and for evaluating the expected consequences of alternative management actions. We illustrate these features using an example based on management of waterfowl habitat.

Structured decision making as a conceptual framework to identify thresholds for conservation and management

USGS Publications Warehouse

Martin, J.; Runge, M.C.; Nichols, J.D.; Lubow, B.C.; Kendall, W.L.

2009-01-01

Thresholds and their relevance to conservation have become a major topic of discussion in the ecological literature. Unfortunately, in many cases the lack of a clear conceptual framework for thinking about thresholds may have led to confusion in attempts to apply the concept of thresholds to conservation decisions. Here, we advocate a framework for thinking about thresholds in terms of a structured decision making process. The purpose of this framework is to promote a logical and transparent process for making informed decisions for conservation. Specification of such a framework leads naturally to consideration of definitions and roles of different kinds of thresholds in the process. We distinguish among three categories of thresholds. Ecological thresholds are values of system state variables at which small changes bring about substantial changes in system dynamics. Utility thresholds are components of management objectives (determined by human values) and are values of state or performance variables at which small changes yield substantial changes in the value of the management outcome. Decision thresholds are values of system state variables at which small changes prompt changes in management actions in order to reach specified management objectives. The approach that we present focuses directly on the objectives of management, with an aim to providing decisions that are optimal with respect to those objectives. This approach clearly distinguishes the components of the decision process that are inherently subjective (management objectives, potential management actions) from those that are more objective (system models, estimates of system state). Optimization based on these components then leads to decision matrices specifying optimal actions to be taken at various values of system state variables. Values of state variables separating different actions in such matrices are viewed as decision thresholds. Utility thresholds are included in the objectives

Interventions to facilitate shared decision making to address antibiotic use for acute respiratory infections in primary care.

PubMed

Coxeter, Peter; Del Mar, Chris B; McGregor, Leanne; Beller, Elaine M; Hoffmann, Tammy C

2015-11-12

Shared decision making is an important component of patient-centred care. It is a set of communication and evidence-based practice skills that elicits patients' expectations, clarifies any misperceptions and discusses the best available evidence for benefits and harms of treatment. Acute respiratory infections (ARIs) are one of the most common reasons for consulting in primary care and obtaining prescriptions for antibiotics. However, antibiotics offer few benefits for ARIs, and their excessive use contributes to antibiotic resistance - an evolving public health crisis. Greater explicit consideration of the benefit-harm trade-off within shared decision making may reduce antibiotic prescribing for ARIs in primary care. To assess whether interventions that aim to facilitate shared decision making increase or reduce antibiotic prescribing for ARIs in primary care. We searched CENTRAL (2014, Issue 11), MEDLINE (1946 to November week 3, 2014), EMBASE (2010 to December 2014) and Web of Science (1985 to December 2014). We searched for other published, unpublished or ongoing trials by searching bibliographies of published articles, personal communication with key trial authors and content experts, and by searching trial registries at the National Institutes of Health and the World Health Organization. Randomised controlled trials (RCTs) (individual level or cluster-randomised), which evaluated the effectiveness of interventions that promote shared decision making (as the focus or a component of the intervention) about antibiotic prescribing for ARIs in primary care. Two review authors independently extracted and collected data. Antibiotic prescribing was the primary outcome, and secondary outcomes included clinically important adverse endpoints (e.g. re-consultations, hospital admissions, mortality) and process measures (e.g. patient satisfaction). We assessed the risk of bias of all included trials and the quality of evidence. We contacted trial authors to obtain missing

“Making Do” Decisions: How Home Healthcare Personnel Manage Their Exposure to Home Hazards

PubMed Central

Wills, Celia E.; Polivka, Barbara J.; Darragh, Amy; Lavender, Steven; Sommerich, Carolyn; Stredney, Donald

2016-01-01

This study describes the decision-making processes home healthcare personnel (HHP) use to manage their personal health and safety when managing hazards in client homes. A professionally diverse national sample of 68 HHP participated in individual semi-structured interviews and focus group discussions, and described their decision making and strategies for hazard management in their work environments. HHP described 353 hazard management dilemmas within 394 specifically identified hazards, which were clustered within three broader categories: electrical/fire, slip/trip/lift, and environmental exposures. HHP described multiple types of “making do” decisions for hazard management solutions in which perceived and actual resource limitations constrained response options. A majority of hazard management decisions in the broader hazards categories (72.5%, 68.5%, and 63.5%, respectively) were classifiable as less than optimal. These findings stress the need for more support of HHPs, including comprehensive training, to improve HHP decision making and hazard management strategies, especially in context of resource constraints. PMID:26669605

[Hospital self-management policy in Chile: perceptions of decision-makers].

PubMed

Méndez, Claudio A; Miranda, Christian; Torres, M Cristina; Márquez, Myriam

2013-01-01

To learn the perceptions of decision-makers concerning the imple-men-t-ation stage of a hospital self-management policy in two highly complex hospitals in southern Chile. A descriptive, exploratory, qualitative study based on semi-structured in-depth interviews of decision-makers at the Regional Hospital of Valdivia and the Hospital San José de Osorno from August 2010 to December 2011. A convenience sample of 26 decision-makers was selected. The 26 interviews were recorded and transcribed verbatim. The information was analyzed using inductive content analysis. The interviewees consider the concept of self-management to be determined by autonomy in decision-making about resource allocation and the financing of health service delivery in the hospitals. They also stated that human resources and financing policies should be included to improve the implementation stage. They related weaknesses with the lack of organizational capabilities and managerial skills in the health teams implementing the changes. Conceptually, the hospital self-management policy is based on financial autonomy, and implementation is affected by persistent capacity gaps in policy design.

DECISION SUPPORT FRAMEWORK FOR STORMWATER MANAGEMENT IN URBAN WATERSHEDS

EPA Science Inventory

To assist stormwater management professionals in planning for best management practices (BMPs) implementation, the U.S. Environmental Protection Agency (USEPA) is developing a decision support system for placement of BMPs at strategic locations in urban watersheds. This tool wil...

Pest management in Douglas-fir seed orchards: a microcomputer decision method

Treesearch

James B. Hoy; Michael I. Haverty

1988-01-01

The computer program described provides a Douglas-fir seed orchard manager (user) with a quantitative method for making insect pest management decisions on a desk-top computer. The decision system uses site-specific information such as estimates of seed crop size, insect attack rates, insecticide efficacy and application costs, weather, and crop value. At sites where...

Managers' social support: Facilitators and hindrances for seeking support at work.

PubMed

Lundqvist, Daniel; Fogelberg Eriksson, Anna; Ekberg, Kerstin

2018-01-01

Previous research has shown that social support is important for health and performance at work, but there is a lack of research regarding managers' social support at work, and if it needs to be improvedOBJECTIVE:To investigate managers' perception of work-related social support, and facilitators and hindrances that influence their seeking of social support at work. Semi-structured interviews with sixty-two managers in two Swedish organizations. Work-related support, which strengthened their managerial image of being competent, was sought from sources within the workplace. Sensitive and personal support, where there was a risk of jeopardizing their image of being competent, was sought from sources outside the workplace. Access to arenas for support (location of the workplace, meetings, and vocational courses) and the managerial role could facilitate their support-seeking, but could also act as hindrances. Because attending different arenas for support were demanding, they refrained from seeking support if the demands were perceived as too high. Different supportive sources are distinguished based on what supportive function they have and in which arenas they are found, in order to preserve the confidence of the closest organization and to maintain the image of being a competent and performing manager.

Decision support systems and the healthcare strategic planning process: a case study.

PubMed

Lundquist, D L; Norris, R M

1991-01-01

The repertoire of applications that comprises health-care decision support systems (DSS) includes analyses of clinical, financial, and operational activities. As a whole, these applications facilitate developing comprehensive and interrelated business and medical models that support the complex decisions required to successfully manage today's health-care organizations. Kennestone Regional Health Care System's use of DSS to facilitate strategic planning has precipitated marked changes in the organization's method of determining capital allocations. This case study discusses Kennestone's use of DSS in the strategic planning process, including profiles of key DSS modeling components.

Robust Decision Making Approach to Managing Water Resource Risks (Invited)

NASA Astrophysics Data System (ADS)

Lempert, R.

2010-12-01

The IPCC and US National Academies of Science have recommended iterative risk management as the best approach for water management and many other types of climate-related decisions. Such an approach does not rely on a single set of judgments at any one time but rather actively updates and refines strategies as new information emerges. In addition, the approach emphasizes that a portfolio of different types of responses, rather than any single action, often provides the best means to manage uncertainty. Implementing an iterative risk management approach can however prove difficult in actual decision support applications. This talk will suggest that robust decision making (RDM) provides a particularly useful set of quantitative methods for implementing iterative risk management. This RDM approach is currently being used in a wide variety of water management applications. RDM employs three key concepts that differentiate it from most types of probabilistic risk analysis: 1) characterizing uncertainty with multiple views of the future (which can include sets of probability distributions) rather than a single probabilistic best-estimate, 2) employing a robustness rather than an optimality criterion to assess alternative policies, and 3) organizing the analysis with a vulnerability and response option framework, rather than a predict-then-act framework. This talk will summarize the RDM approach, describe its use in several different types of water management applications, and compare the results to those obtained with other methods.

Watershed Management Optimization Support Tool (WMOST) Workshop.

EPA Science Inventory

EPA's Watershed Management Optimization Support Tool (WMOST) version 2 is a decision support tool designed to facilitate integrated water management by communities at the small watershed scale. WMOST allows users to look across management options in stormwater (including green i...

Barriers, facilitators, strategies and outcomes to engaging policymakers, healthcare managers and policy analysts in knowledge synthesis: a scoping review protocol

PubMed Central

Tricco, Andrea C; Zarin, Wasifa; Rios, Patricia; Pham, Ba’; Straus, Sharon E; Langlois, Etienne V

2016-01-01

Introduction Engaging policymakers, healthcare managers and policy analysts in the conduct of knowledge synthesis can help increase its impact. This is particularly important for knowledge synthesis studies commissioned by decision-makers with limited timelines, as well as reviews of health policy and systems research. A scoping review will be conducted to assess barriers, facilitators, strategies and outcomes of engaging these individuals in the knowledge synthesis process. Methods and analysis We will follow the Joanna Briggs Institute guidance for scoping reviews. Literature searches of electronic databases (eg, MEDLINE, EMBASE, Cochrane Library, ERIC, PsycINFO) will be conducted from inception onwards. The electronic search will be supplemented by searching for sources that index unpublished/difficult to locate studies (eg, GreyNet International database), as well as through scanning of reference lists of reviews on related topics. All study designs using either qualitative or quantitative methodologies will be eligible if there is a description of the strategies, barriers or facilitators, and outcomes of engaging policymakers, healthcare managers and policy analysts in the knowledge synthesis process. Screening and data abstraction will be conducted by 2 team members independently after a calibration exercise across the team. A third team member will resolve all discrepancies. We will conduct frequency analysis and thematic analysis to chart and characterise the literature, identifying data gaps and opportunities for future research, as well as implications for policy. Ethics and dissemination This project was commissioned by the Alliance for Health Policy and Systems Research, WHO. The results will be used by Alliance Review Centers of health policy and systems research in low-income and middle-income countries that are conducting knowledge synthesis to inform health policymaking and decision-making. Our results will also be disseminated through conference

A systematic review of decision aids that facilitate elements of shared decision-making in chronic illnesses: a review protocol.

PubMed

Wieringa, Thomas H; Kunneman, Marleen; Rodriguez-Gutierrez, Rene; Montori, Victor M; de Wit, Maartje; Smets, Ellen M A; Schoonmade, Linda J; Spencer-Bonilla, Gabriela; Snoek, Frank J

2017-08-07

Shared decision-making (SDM) is a patient-centred approach in which clinicians and patients work side-by-side to decide together on the best course of action for each patient's particular situation. Six key elements of SDM can be distinguished: situation diagnosis, choice awareness, option clarification, discussion of harms and benefits, deliberation of patient preferences and making the decision. Decision aids (DAs) are tools that facilitate SDM. The impact of DAs for chronic illnesses on SDM, clinical and patient reported outcomes remains uncertain. We will perform a systematic review aiming to describe (a) which SDM elements are incorporated in DAs for adult patients with chronic conditions and (b) the effects of DA use on SDM, clinical and patient reported outcomes. This manuscript reports on the protocol for this systematic review. The following databases will be searched for relevant articles: PubMed, Embase, Web of Science, CINAHL and PsycINFO, from their inception to October 2016. We will ascertain ongoing research by querying experts and searching trial registries. To enhance feasibility, we will limit the review to randomized controlled trials (RCTs) including patients with chronic cardiovascular and/or respiratory diseases and/or diabetes. SDM elements incorporated in DAs, DA effects and DA itself will be described. This study will characterize DAs for chronic illness and will provide an overview of their effects on SDM, clinical and patient reported outcomes. We anticipate this review will bring to light knowledge gaps and inform further research into the design and use of DAs for patients with chronic conditions. PROSPERO registration number: CRD42016050320 .

Resolving future fire management conflicts using multicriteria decision making.

PubMed

Driscoll, Don A; Bode, Michael; Bradstock, Ross A; Keith, David A; Penman, Trent D; Price, Owen F

2016-02-01

Management strategies to reduce the risks to human life and property from wildfire commonly involve burning native vegetation. However, planned burning can conflict with other societal objectives such as human health and biodiversity conservation. These conflicts are likely to intensify as fire regimes change under future climates and as growing human populations encroach farther into fire-prone ecosystems. Decisions about managing fire risks are therefore complex and warrant more sophisticated approaches than are typically used. We applied a multicriteria decision making approach (MCDA) with the potential to improve fire management outcomes to the case of a highly populated, biodiverse, and flammable wildland-urban interface. We considered the effects of 22 planned burning options on 8 objectives: house protection, maximizing water quality, minimizing carbon emissions and impacts on human health, and minimizing declines of 5 distinct species types. The MCDA identified a small number of management options (burning forest adjacent to houses) that performed well for most objectives, but not for one species type (arboreal mammal) or for water quality. Although MCDA made the conflict between objectives explicit, resolution of the problem depended on the weighting assigned to each objective. Additive weighting of criteria traded off the arboreal mammal and water quality objectives for other objectives. Multiplicative weighting identified scenarios that avoided poor outcomes for any objective, which is important for avoiding potentially irreversible biodiversity losses. To distinguish reliably among management options, future work should focus on reducing uncertainty in outcomes across a range of objectives. Considering management actions that have more predictable outcomes than landscape fuel management will be important. We found that, where data were adequate, an MCDA can support decision making in the complex and often conflicted area of fire management. © 2015

Nurse managers' decision-making in daily unit operation in peri-operative settings: a cross-sectional descriptive study.

PubMed

Siirala, Eriikka; Peltonen, Laura-Maria; Lundgrén-Laine, Heljä; Salanterä, Sanna; Junttila, Kristiina

2016-09-01

To describe the tactical and the operational decisions made by nurse managers when managing the daily unit operation in peri-operative settings. Management is challenging as situations change rapidly and decisions are constantly made. Understanding decision-making in this complex environment helps to develop decision support systems to support nurse managers' operative and tactical decision-making. Descriptive cross-sectional design. Data were collected from 20 nurse managers with the think-aloud method during the busiest working hours and analysed using thematic content analysis. Nurse managers made over 700 decisions; either ad hoc (n = 289), near future (n = 268) or long-term (n = 187) by nature. Decisions were often made simultaneously with many interruptions. Ad hoc decisions covered staff allocation, ensuring adequate staff, rescheduling surgical procedures, confirmation tangible resources and following-up the daily unit operation. Decisions in the near future were: planning of surgical procedures and tangible resources, and planning staff allocation. Long-term decisions were: human recourses, nursing development, supplies and equipment, and finances in the unit. Decision-making was vulnerable to interruptions, which sometimes complicated the managing tasks. The results can be used when planning decision support systems and when defining the nurse managers' tasks in peri-operative settings. © 2016 John Wiley & Sons Ltd.

Shared decision-making in medication management: development of a training intervention

PubMed Central

Stead, Ute; Morant, Nicola; Ramon, Shulamit

2017-01-01

Shared decision-making is a collaborative process in which clinicians and patients make treatment decisions together. Although it is considered essential to patient-centred care, the adoption of shared decision-making into routine clinical practice has been slow, and there is a need to increase implementation. This paper describes the development and delivery of a training intervention to promote shared decision-making in medication management in mental health as part of the Shared Involvement in Medication Management Education (ShIMME) project. Three stakeholder groups (service users, care coordinators and psychiatrists) received training in shared decision-making, and their feedback was evaluated. The programme was mostly well received, with all groups rating interaction with peers as the best aspect of the training. This small-scale pilot shows that it is feasible to deliver training in shared decision-making to several key stakeholders. Larger studies will be required to assess the effectiveness of such training. PMID:28811918

Shared decision-making in medication management: development of a training intervention.

PubMed

Stead, Ute; Morant, Nicola; Ramon, Shulamit

2017-08-01

Shared decision-making is a collaborative process in which clinicians and patients make treatment decisions together. Although it is considered essential to patient-centred care, the adoption of shared decision-making into routine clinical practice has been slow, and there is a need to increase implementation. This paper describes the development and delivery of a training intervention to promote shared decision-making in medication management in mental health as part of the Shared Involvement in Medication Management Education (ShIMME) project. Three stakeholder groups (service users, care coordinators and psychiatrists) received training in shared decision-making, and their feedback was evaluated. The programme was mostly well received, with all groups rating interaction with peers as the best aspect of the training. This small-scale pilot shows that it is feasible to deliver training in shared decision-making to several key stakeholders. Larger studies will be required to assess the effectiveness of such training.

Psychotropic Medication Management in a Residential Group Care Program

ERIC Educational Resources Information Center

Spellman, Douglas F.; Griffith, Annette K.; Huefner, Jonathan C.; Wise, Neil, III; McElderry, Ellen; Leslie, Laurel K.

2010-01-01

This article presents a psychotropic medication management approach that is used within a residential care program. The approach is used to assess medications at youths' times of entry and to facilitate decision making during care. Data from a typical case study have indicated that by making medication management decisions slowly, systematically,…

Restoring and Managing Gulf of Mexico Fisheries: A Path Toward Creative Decision-Making

EPA Science Inventory

This chapter introduces decision analysis concepts with examples for managing fisheries. Decision analytic methods provide useful tools for structuring environmental management problems and separating technical judgments from preference judgments to better weigh the prospects fro...

Managing costs, managing benefits: employer decisions in local health care markets.

PubMed

Christianson, Jon B; Trude, Sally

2003-02-01

To better understand employer health benefit decision making, how employer health benefits strategies evolve over time, and the impact of employer decisions on local health care systems. Data were collected as part of the Community Tracking Study (CTS), a longitudinal analysis of health system change in 12 randomly selected communities. This is an observational study with data collection over a six-year period. The study used semistructured interviews with local respondents, combined with monitoring of local media, to track changes in health care systems over time and their impact on community residents. Interviewing began in 1996 and was carried out at two-year intervals, with a total of approximately 2,200 interviews. The interviews provided a variety of perspectives on employer decision making concerning health benefits; these perspectives were triangulated to reach conclusions. The tight labor market during the study period was the dominant consideration in employer decision making regarding health benefits. Employers, in managing employee compensation, made independent decisions in pursuit of individual goals, but these decisions were shaped by similar labor market conditions. As a result, within and across our study sites, employer decisions in aggregate had an important impact on local health care systems, although employers' more highly visible public efforts to bring about health system change often met with disappointing results. General economic conditions in the 1990s had an important impact on the configuration of local health systems through their effect on employer decision making regarding health benefits offered to employees, and the responses of health plans and providers to those decisions.

Consensus oriented fuzzified decision support for oil spill contingency management.

PubMed

Liu, Xin; Wirtz, Kai W

2006-06-30

Studies on multi-group multi-criteria decision-making problems for oil spill contingency management are in their infancy. This paper presents a second-order fuzzy comprehensive evaluation (FCE) model to resolve decision-making problems in the area of contingency management after environmental disasters such as oil spills. To assess the performance of different oil combat strategies, second-order FCE allows for the utilization of lexical information, the consideration of ecological and socio-economic criteria and the involvement of a variety of stakeholders. On the other hand, the new approach can be validated by using internal and external checks, which refer to sensitivity tests regarding its internal setups and comparisons with other methods, respectively. Through a case study, the Pallas oil spill in the German Bight in 1998, it is demonstrated that this approach can help decision makers who search for an optimal strategy in multi-thread contingency problems and has a wider application potential in the field of integrated coastal zone management.

Game Methods of Collective Decision Making in Management Consulting.

ERIC Educational Resources Information Center

Prigozhin, Arkadii Il'ich

1991-01-01

Explores former Soviet management consultants' increased use of social psychological game methods. Identifies such games as means of involving segments of client organizations in accomplishing shared tasks. Proposes a "practical" business game, designed to shape the process of formulating new management decisions at a radical level.…

Trust between managers and physicians in community hospitals: the effects of power over hospital decisions.

PubMed

Succi, M J; Lee, S Y; Alexander, J A

1998-01-01

Trust is a key element of effective work relationships between managers and physicians. Despite its importance, little is known about the factors that promote trust between these two professional groups. We examine whether manager and physician power over hospital decisions fosters manager-physician trust. We expect that with more power, managers and physicians will have greater control to enforce decisions that benefit the interests of both groups. Subsequently, they may gain confidence that their interests are supported and have more trust for each other. We test proposed hypotheses with data collected in a national study of chief executive officers and physician leaders in community hospitals in 1993. Findings indicate that power of managers and physicians over hospital decisions is related to manager-physician trust. Consistent with our expectations, physicians perceive greater trust between the two groups when they hold more power in four separate decision-making areas. Our hypotheses, however, are only partially supported in the manager sample. The relationship between power and trust holds in only one decision area: cost/quality management. Our findings have important implications for physician integration in hospitals. A direct implication is that physicians should be given the opportunity to influence hospital decisions. New initiatives, such as task force committees with open membership or open forums on hospital management, allow physicians a more substantial involvement in decisions. Such initiatives will give physicians more "voice" in hospital decision making, thus creating opportunities for physicians to express their interests and play a more active role in the pursuit of the hospital's mission and objectives.

Patient and caregiver perspectives on decision support for symptom and quality of life management during cancer treatment: Implications for eHealth.

PubMed

Cooley, Mary E; Nayak, Manan M; Abrahm, Janet L; Braun, Ilana M; Rabin, Michael S; Brzozowski, Jane; Lathan, Christopher; Berry, Donna L

2017-08-01

Adequate symptom and quality-of-life (SQL) management is a priority during cancer treatment. eHealth is a timely way to enhance patient-engagement, facilitate communication, and improve health outcomes. The objectives of this study were to describe patient and caregivers' perspectives for providing, processing, and managing SQL data to enhance communication and identify desired components for decision support. Data were collected from 64 participants through questionnaires and focus groups. Analysis was conducted using NVivo. Open and axial coding was completed, grouping commonalities and large constructs into nodes to identify and synthesize themes. Face-to-face meetings with clinicians were the prime time to communicate, and patients strove to understand treatment options and the effect on SQL by bringing caregivers to their visits, taking notes, tracking symptoms, and creating portable health records. Patients/caregivers struggled to self-manage their symptoms and were uncertain when to contact clinicians when experiencing uncontrolled symptoms. Most participants identified eHealth solutions for decision support. However, 38% of participants (n = 24) rarely used computers and identified non-eHealth options for decision support. Core components for both eHealth and non-eHealth systems were access to (1) cancer information, (2) medical records, (3) peer support, and (4) improved support and understanding on when to contact clinicians. Patients were faced with an overwhelming amount of information and relied on their caregivers to help navigate the complexities of cancer care and self-manage SQL. Health technologies can provide informational support; however, decision support needs to span multiple venues to avoid increasing disparities caused by a digital divide. Copyright © 2017 John Wiley & Sons, Ltd.

Merkel cell carcinoma: An algorithm for multidisciplinary management and decision-making.

PubMed

Prieto, Isabel; Pérez de la Fuente, Teresa; Medina, Susana; Castelo, Beatriz; Sobrino, Beatriz; Fortes, Jose R; Esteban, David; Cassinello, Fernando; Jover, Raquel; Rodríguez, Nuria

2016-02-01

Merkel cell carcinoma (MCC) is a rare and aggressive neuroendocrine tumor of the skin. Therapeutic approach is often unclear, and considerable controversy exists regarding MCC pathogenesis and optimal management. Due to its rising incidence and poor prognosis, it is imperative to establish the optimal therapy for both the tumor and the lymph node basin, and for treatment to include sentinel node biopsy. Sentinel node biopsy is currently the most consistent predictor of survival for MCC patients, although there are conflicting views and a lack of awareness regarding node management. Tumor and node management involve different specialists, and their respective decisions and interventions are interrelated. No effective systemic treatment has been made available to date, and therefore patients continue to experience distant failure, often without local failure. This review aims to improve multidisciplinary decision-making by presenting scientific evidence of the contributions of each team member implicated in MCC management. Following this review of previously published research, the authors conclude that multidisciplinary team management is beneficial for care, and propose a multidisciplinary decision algorithm for managing this tumor. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Facilitating a just and trusting culture.

PubMed

Pattison, Jill; Kline, Theresa

2015-01-01

The purpose of this paper is to identify managerial and organizational characteristics and behaviors that facilitate the fostering of a just and trusting culture within the healthcare system. Two studies were conducted. The initial qualitative one was used to identify themes based on interviews with health care workers that facilitate a just and trusting culture. The quantitative one used a policy-capturing design to determine which factors were most likely to predict outcomes of manager and organizational trust. The factors of violation type (ability vs integrity), providing an explanation or not, blame vs no blame by manager, and blame vs no blame by organization were all significant predictors of perceptions of trust. Limitations to the generalizability of findings included both a small and non-representative sample from one health care region. The present findings can be useful in developing training systems for managers and organizational executive teams for managing medical error events in a manner that will help develop a just and trusting culture. A just and trusting culture should enhance the likelihood of reporting medical errors. Improved reporting, in turn, should enhance patient safety. This is the first field study experimentally manipulating aspects of organizational trust within the health care sector. The use of policy-capturing is a unique feature that sheds light into the decision-making of health care workers as to the efficaciousness of particular managerial and organizational characteristics that impact a just and trusting culture.

Assessing Option Grid® practicability and feasibility for facilitating shared decision making: An exploratory study.

PubMed

Tsulukidze, Maka; Grande, Stuart W; Gionfriddo, Michael R

2015-07-01

To assess the feasibility of Option Grids(®)for facilitating shared decision making (SDM) in simulated clinical consultations and explore clinicians' views on their practicability. We used mixed methods approach to analyze clinical consultations using the Observer OPTION instrument and thematic analysis for follow-up interviews with clinicians. Clinicians achieved high scores on information sharing and low scores on preference elicitation and integration. Four themes were identified: (1) Barriers affect practicability of Option Grids(®); (2) Option Grids(®) facilitate the SDM process; (3) Clinicians are aware of the gaps in their practice of SDM; (4) Training and ongoing feedback on the optimal use of Option Grids(®) are necessary. Use of Option Grids(®) by clinicians with background knowledge in SDM did not facilitate optimal levels of competency on the SDM core concepts of preference elicitation and integration. Future research must evaluate the impact of training on the use of Option Grids(®), and explore how best to help clinicians bridge the gap between knowledge and action. Clinicians proficiently imparting information in simulations struggled to elicit and integrate patient preferences - understanding this gap and developing strategies to close it are the next steps for implementing SDM into clinical practice. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Sport Management Career Decision-Making Self-Efficacy

ERIC Educational Resources Information Center

Lumpkin, Angela; Franco, Dan; Multon, Karen; Achen, Rebecca M.

2017-01-01

Grounded in a social cognitive theoretical perspective, this study explores the career decision-making self-efficacy (CDSE) and vocational identity development process for college students interested or majoring in sport management. While a popular undergraduate major, little research has investigated the specific factors that influence different…

Option Grids to facilitate shared decision making for patients with Osteoarthritis of the knee: protocol for a single site, efficacy trial.

PubMed

Marrin, Katy; Wood, Fiona; Firth, Jill; Kinsey, Katharine; Edwards, Adrian; Brain, Kate E; Newcombe, Robert G; Nye, Alan; Pickles, Timothy; Hawthorne, Kamila; Elwyn, Glyn

2014-04-07

Despite policy interest, an ethical imperative, and evidence of the benefits of patient decision support tools, the adoption of shared decision making (SDM) in day-to-day clinical practice remains slow and is inhibited by barriers that include culture and attitudes; resources and time pressures. Patient decision support tools often require high levels of health and computer literacy. Option Grids are one-page evidence-based summaries of the available condition-specific treatment options, listing patients' frequently asked questions. They are designed to be sufficiently brief and accessible enough to support a better dialogue between patients and clinicians during routine consultations. This paper describes a study to assess whether an Option Grid for osteoarthritis of the knee (OA of the knee) facilitates SDM, and explores the use of Option Grids by patients disadvantaged by language or poor health literacy. This will be a stepped wedge exploratory trial involving 72 patients with OA of the knee referred from primary medical care to a specialist musculoskeletal service in Oldham. Six physiotherapists will sequentially join the trial and consult with six patients using usual care procedures. After a period of brief training in using the Option Grid, the same six physiotherapists will consult with six further patients using an Option Grid in the consultation. The primary outcome will be efficacy of the Option Grid in facilitating SDM as measured by observational scores using the OPTION scale. Comparisons will be made between patients who have received the Option Grid and those who received usual care. A Decision Quality Measure (DQM) will assess quality of decision making. The health literacy of patients will be measured using the REALM-R instrument. Consultations will be observed and audio-recorded. Interviews will be conducted with the physiotherapists, patients and any interpreters present to explore their views of using the Option Grid. Option Grids offer a

Building Social Capital in Groups: Facilitating Skill Development for Natural Resource Management

ERIC Educational Resources Information Center

Kilpatrick, Sue

2007-01-01

Analysis of the experiences of four farmer groups set up to learn how to jointly manage local natural resource issues shows that the groups are going though two simultaneous processes. One builds technical competency in natural resource management and the other is the underpinning social process that allows the groups to make decisions and work…

Positive consequences of conflict on decision making: when a conflict mindset facilitates choice.

PubMed

Savary, Jennifer; Kleiman, Tali; Hassin, Ran R; Dhar, Ravi

2015-02-01

Much research has shown that conflict is aversive and leads to increased choice deferral. In contrast, we have proposed that conflict can be beneficial. Specifically, exposure to nonconscious goal conflict can activate a mindset (a set of cognitive procedures) that facilitates the systematic processing of information without triggering the associated costs, such as negative affect and stress. In a conflict mindset, people should be better able to make tradeoffs and resolve choice conflict. We tested this proposition in 4 experiments, and demonstrated that priming conflicting goals before a decision increases choice in domains unrelated to the primed conflict. We further demonstrated that increased choice occurs because people in a conflict mindset process choice information more systematically, and we rule out several alternative explanations for the results.

Integrating info-gap decision theory with robust population management: a case study using the Mountain Plover.

PubMed

van der Burg, Max Post; Tyre, Andrew J

2011-01-01

Wildlife managers often make decisions under considerable uncertainty. In the most extreme case, a complete lack of data leads to uncertainty that is unquantifiable. Information-gap decision theory deals with assessing management decisions under extreme uncertainty, but it is not widely used in wildlife management. So too, robust population management methods were developed to deal with uncertainties in multiple-model parameters. However, the two methods have not, as yet, been used in tandem to assess population management decisions. We provide a novel combination of the robust population management approach for matrix models with the information-gap decision theory framework for making conservation decisions under extreme uncertainty. We applied our model to the problem of nest survival management in an endangered bird species, the Mountain Plover (Charadrius montanus). Our results showed that matrix sensitivities suggest that nest management is unlikely to have a strong effect on population growth rate, confirming previous analyses. However, given the amount of uncertainty about adult and juvenile survival, our analysis suggested that maximizing nest marking effort was a more robust decision to maintain a stable population. Focusing on the twin concepts of opportunity and robustness in an information-gap model provides a useful method of assessing conservation decisions under extreme uncertainty.

Using decision analysis to support proactive management of emerging infectious wildlife diseases

USGS Publications Warehouse

Grant, Evan H. Campbell; Muths, Erin L.; Katz, Rachel A.; Canessa, Stefano; Adams, Michael J.; Ballard, Jennifer R.; Berger, Lee; Briggs, Cheryl J.; Coleman, Jeremy; Gray, Matthew J.; Harris, M. Camille; Harris, Reid N.; Hossack, Blake R.; Huyvaert, Kathryn P.; Kolby, Jonathan E.; Lips, Karen R.; Lovich, Robert E.; McCallum, Hamish I.; Mendelson, Joseph R.; Nanjappa, Priya; Olson, Deanna H.; Powers, Jenny G.; Richgels, Katherine L. D.; Russell, Robin E.; Schmidt, Benedikt R.; Spitzen-van der Sluijs, Annemarieke; Watry, Mary Kay; Woodhams, Douglas C.; White, C. LeAnn

2017-01-01

Despite calls for improved responses to emerging infectious diseases in wildlife, management is seldom considered until a disease has been detected in affected populations. Reactive approaches may limit the potential for control and increase total response costs. An alternative, proactive management framework can identify immediate actions that reduce future impacts even before a disease is detected, and plan subsequent actions that are conditional on disease emergence. We identify four main obstacles to developing proactive management strategies for the newly discovered salamander pathogen Batrachochytrium salamandrivorans (Bsal). Given that uncertainty is a hallmark of wildlife disease management and that associated decisions are often complicated by multiple competing objectives, we advocate using decision analysis to create and evaluate trade-offs between proactive (pre-emergence) and reactive (post-emergence) management options. Policy makers and natural resource agency personnel can apply principles from decision analysis to improve strategies for countering emerging infectious diseases.

Involving staff pharmacists in management decisions.

PubMed

Robinson, L A; Vanderveen, T W

1977-03-01

Various administrative techniques used to bring staff pharmacists in a decentralized, satellite pharmacy system into the managerial decision-making process are discussed. These techniques include a staff pharmacist on-call procedure to discourage absenteeism, and the concept of a head pharmacist to serve as a link with departmental administration. The head pharmacist works in the satelite pharmacy, is responsible for its daily operation and is the spokesman for the satellite. Active roles for the head pharmacist in the selection and evaluation of technicians are outlines. Management skills are developed in head pharmacists through a program of special classes and discussion groups. It is concluded that this program has improved the credibility of administrative decisions and has tapped an underused source of ideas and talent.

On the Development of a Computing Infrastructure that Facilitates IPPD from a Decision-Based Design Perspective

NASA Technical Reports Server (NTRS)

Hale, Mark A.; Craig, James I.; Mistree, Farrokh; Schrage, Daniel P.

1995-01-01

Integrated Product and Process Development (IPPD) embodies the simultaneous application of both system and quality engineering methods throughout an iterative design process. The use of IPPD results in the time-conscious, cost-saving development of engineering systems. Georgia Tech has proposed the development of an Integrated Design Engineering Simulator that will merge Integrated Product and Process Development with interdisciplinary analysis techniques and state-of-the-art computational technologies. To implement IPPD, a Decision-Based Design perspective is encapsulated in an approach that focuses on the role of the human designer in product development. The approach has two parts and is outlined in this paper. First, an architecture, called DREAMS, is being developed that facilitates design from a decision-based perspective. Second, a supporting computing infrastructure, called IMAGE, is being designed. The current status of development is given and future directions are outlined.

Portfolio Decision Analysis Framework for Value-Focused Ecosystem Management

PubMed Central

Convertino, Matteo; Valverde, L. James

2013-01-01

Management of natural resources in coastal ecosystems is a complex process that is made more challenging by the need for stakeholders to confront the prospect of sea level rise and a host of other environmental stressors. This situation is especially true for coastal military installations, where resource managers need to balance conflicting objectives of environmental conservation against military mission. The development of restoration plans will necessitate incorporating stakeholder preferences, and will, moreover, require compliance with applicable federal/state laws and regulations. To promote the efficient allocation of scarce resources in space and time, we develop a portfolio decision analytic (PDA) framework that integrates models yielding policy-dependent predictions for changes in land cover and species metapopulations in response to restoration plans, under different climate change scenarios. In a manner that is somewhat analogous to financial portfolios, infrastructure and natural resources are classified as human and natural assets requiring management. The predictions serve as inputs to a Multi Criteria Decision Analysis model (MCDA) that is used to measure the benefits of restoration plans, as well as to construct Pareto frontiers that represent optimal portfolio allocations of restoration actions and resources. Optimal plans allow managers to maintain or increase asset values by contrasting the overall degradation of the habitat and possible increased risk of species decline against the benefits of mission success. The optimal combination of restoration actions that emerge from the PDA framework allows decision-makers to achieve higher environmental benefits, with equal or lower costs, than those achievable by adopting the myopic prescriptions of the MCDA model. The analytic framework presented here is generalizable for the selection of optimal management plans in any ecosystem where human use of the environment conflicts with the needs of

Portfolio Decision Analysis Framework for Value-Focused Ecosystem Management.

PubMed

Convertino, Matteo; Valverde, L James

2013-01-01

Management of natural resources in coastal ecosystems is a complex process that is made more challenging by the need for stakeholders to confront the prospect of sea level rise and a host of other environmental stressors. This situation is especially true for coastal military installations, where resource managers need to balance conflicting objectives of environmental conservation against military mission. The development of restoration plans will necessitate incorporating stakeholder preferences, and will, moreover, require compliance with applicable federal/state laws and regulations. To promote the efficient allocation of scarce resources in space and time, we develop a portfolio decision analytic (PDA) framework that integrates models yielding policy-dependent predictions for changes in land cover and species metapopulations in response to restoration plans, under different climate change scenarios. In a manner that is somewhat analogous to financial portfolios, infrastructure and natural resources are classified as human and natural assets requiring management. The predictions serve as inputs to a Multi Criteria Decision Analysis model (MCDA) that is used to measure the benefits of restoration plans, as well as to construct Pareto frontiers that represent optimal portfolio allocations of restoration actions and resources. Optimal plans allow managers to maintain or increase asset values by contrasting the overall degradation of the habitat and possible increased risk of species decline against the benefits of mission success. The optimal combination of restoration actions that emerge from the PDA framework allows decision-makers to achieve higher environmental benefits, with equal or lower costs, than those achievable by adopting the myopic prescriptions of the MCDA model. The analytic framework presented here is generalizable for the selection of optimal management plans in any ecosystem where human use of the environment conflicts with the needs of

The impact of management science on political decision making

NASA Technical Reports Server (NTRS)

White, M. J.

1971-01-01

The possible impact on public policy and organizational decision making of operations research/management science (OR/MS) is discussed. Criticisms based on the assumption that OR/MS will have influence on decision making and criticisms based on the assumption that it will have no influence are described. New directions in the analysis of analysis and in thinking about policy making are also considered.

The Impact of Research on Decision-Making by Practitioners and Managers.

ERIC Educational Resources Information Center

Smith, Chris Selby

The impact of research and development (R&D) on decision making and managers in vocational education and training (VET) was examined through a review of recent Australian studies in VET and health care. The framework adopted to analyze the relationships between R&D and decision making distinguished between the decision-making domain, the…

Survey of Literature Pertaining to Decision Making Styles and Individual Factors

DTIC Science & Technology

2005-10-01

facilitation Rules of engagement (ROE) Deductive reasoning Heuristic(s) Emotion/ Affect Consensus Time pressure Rational decision making Recognition...managers are more likely to use an intuitive decision making style, while Sensing/ Feeling types use more of a rational style. These results were also...performance of the individual, team and organization. Research has indicated that a variety of individual factors affect the way in which people make

Disease management in healthcare organizations: results of in-depth interviews with disease management decision makers.

PubMed

Whellan, David J; Cohen, Elizabeth J; Matchar, David B; Califf, Robert M

2002-07-01

Despite the widening use of disease management (DM) programs throughout the country, little is understood about the "state of DM" in healthcare systems and managed care organizations. To better characterize the range of users of DM in healthcare and to identify critical issues, both present and future, for DM. Qualitative survey. Forty-seven healthcare systems (n = 22) and managed care organizations (n = 25) were randomly selected. Decision makers were identified and interviewed between January 1, 2000, and March 31, 2000. We limited quantitative analysis to tabulations of suitable responses, without statistical testing. Responses were organized around 3 themes: models for DM, implementation strategies, and measurements of success. Of 47 decision makers surveyed, 42 (89%) reported that their organizations currently have (75%) or are working to develop (14%) DM programs. Although the goals of DM programs were similar, organizations took a variety of approaches to achieving these ends. There were typically 3 steps in implementing a DM program: analysis of patient data, external analysis, and organizational analysis. Decision makers believed that DM programs had only achieved partial success in reaching the 2 main goals of improved quality of care and cost savings. Given the variety of DM programs, there is a need to develop a classification scheme to allow for better comparison between programs. Further quantitative studies of decision makers' opinions would be helpful in developing programs and in designing necessary studies of patient management strategies.

Mapping Application for Penguin Populations and Projected Dynamics (MAPPPD): Data and Tools for Dynamic Management and Decision Support

NASA Technical Reports Server (NTRS)

Humphries, G. R. W.; Naveen, R.; Schwaller, M.; Che-Castaldo, C.; McDowall, P.; Schrimpf, M.; Schrimpf, Michael; Lynch, H. J.

2017-01-01

The Mapping Application for Penguin Populations and Projected Dynamics (MAPPPD) is a web-based, open access, decision-support tool designed to assist scientists, non-governmental organizations and policy-makers working to meet the management objectives as set forth by the Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR) and other components of the Antarctic Treaty System (ATS) (that is, Consultative Meetings and the ATS Committee on Environmental Protection). MAPPPD was designed specifically to complement existing efforts such as the CCAMLR Ecosystem Monitoring Program (CEMP) and the ATS site guidelines for visitors. The database underlying MAPPPD includes all publicly available (published and unpublished) count data on emperor, gentoo, Adelie) and chinstrap penguins in Antarctica. Penguin population models are used to assimilate available data into estimates of abundance for each site and year.Results are easily aggregated across multiple sites to obtain abundance estimates over any user-defined area of interest. A front end web interface located at www.penguinmap.com provides free and ready access to the most recent count and modelled data, and can act as a facilitator for data transfer between scientists and Antarctic stakeholders to help inform management decisions for the continent.

The impact of a focused vascular lower limb arterial duplex (F-VLAD) scan in management decisions for acute limb ischaemia.

PubMed

Normahani, Pasha; Aslam, Mohammed; Standfield, Nigel J; Jaffer, Usman

2017-01-01

To establish the diagnostic accuracy of a 'focused vascular lower limb arterial duplex scan (F-VLAD)' developed to facilitate rapid decision-making for acute limb ischaemia (ALI). Ten cases of ALI were identified from our patient database; clinical details, history and examination findings were extracted from the clinical notes. Original 'full' duplex ultrasound (DUS) pictorial reports were 're-formatted' to include only anatomical segments included in the 'F-VLAD' scan. The series of 10 reports were emailed to 1741 vascular surgeons. Each recipient received a random mixture of full and F-VLAD scans. Participants were asked regarding next step in management and confidence in decision-making (Likert scale; 1 strongly disagree, 5 strongly agree). The cases were again sent out to the same database and respondents were asked as to the cause of ischaemia (embolic or thrombosis). Eighty-one participants responded to the first survey and 43 participants to the second survey. Participants felt more confident making decisions regarding management using the full duplex report compared to the F-VLAD report (4 (3-4) vs 3 (2-4), median (IQR); p<0.001). However, there was no significant difference in diagnostic accuracy (differentiating embolus from thrombosis) when comparing the F-VLAD and full DUS reports (85.4% vs 88.3%; p=0.461). F-VLAD and 'full' DUS reports had comparable sensitivity (85.1% vs 86.8%), specificity (85.6% vs 89.2%),positive predictive value (PPV) (80.4% vs 81.9%) and negative predictive value (NPV) (89.2% vs 92.2%), respectively. The F-VLAD scan has comparable accuracy to a traditional full DUS in diagnosing the underlying aetiology of ALI. This may facilitate surgeon-performed point-of-care DUS.

Critical care nurses' decision making: sedation assessment and management in intensive care.

PubMed

Aitken, Leanne M; Marshall, Andrea P; Elliott, Rosalind; McKinley, Sharon

2009-01-01

This study was designed to examine the decision making processes that nurses use when assessing and managing sedation for a critically ill patient, specifically the attributes and concepts used to determine sedation needs and the influence of a sedation guideline on the decision making processes. Sedation management forms an integral component of the care of critical care patients. Despite this, there is little understanding of how nurses make decisions regarding assessment and management of intensive care patients' sedation requirements. Appropriate nursing assessment and management of sedation therapy is essential to quality patient care. Observational study. Nurses providing sedation management for a critically ill patient were observed and asked to think aloud during two separate occasions for two hours of care. Follow-up interviews were conducted to collect data from five expert critical care nurses pre- and postimplementation of a sedation guideline. Data from all sources were integrated, with data analysis identifying the type and number of attributes and concepts used to form decisions. Attributes and concepts most frequently used related to sedation and sedatives, anxiety and agitation, pain and comfort and neurological status. On average each participant raised 48 attributes related to sedation assessment and management in the preintervention phase and 57 attributes postintervention. These attributes related to assessment (pre, 58%; post, 65%), physiology (pre, 10%; post, 9%) and treatment (pre, 31%; post, 26%) aspects of care. Decision making in this setting is highly complex, incorporating a wide range of attributes that concentrate primarily on assessment aspects of care. Clinical guidelines should provide support for strategies known to positively influence practice. Further, the education of nurses to use such guidelines optimally must take into account the highly complex iterative process and wide range of data sources used to make decisions.

Behavioral decisions for managing social distance and aggression in captive polar bears (Ursus maritimus).

PubMed

Renner, Michael J; Kelly, Aislinn L

2006-01-01

The polar bear (Ursus maritimus) in most zoos attracts high levels of public attention and can play an important role in conservation education. Polar bears in the wild are typically solitary; bears in captivity often house socially. This study reported behavioral evidence on how bears manage this situation and whether proximity leads to aggression. The study recorded location and behavior once per minute for 106 hr for 2 female polar bears at the Philadelphia Zoo; the samples represented all times of day bears spent in the enclosure (off-exhibit time spent in separate, indoor dens). When changing locations, 1 bear more frequently moved away from the other, effecting a net increase in interindividual distance. When either bear moved into an adjacent zone, 1 typically moved away. The bears occupied the same enclosure zone for a low proportion of time; proximity did not routinely lead to overt aggression. These data indicate polar bears make behavioral decisions, minimizing aggression, to manage social distance and that enclosure designers for solitary species--to facilitate social avoidance--should consider using topographical complexity and multiple pathways throughout.

An Integrated Web-based Decision Support System in Disaster Risk Management

NASA Astrophysics Data System (ADS)

Aye, Z. C.; Jaboyedoff, M.; Derron, M. H.

2012-04-01

Nowadays, web based decision support systems (DSS) play an essential role in disaster risk management because of their supporting abilities which help the decision makers to improve their performances and make better decisions without needing to solve complex problems while reducing human resources and time. Since the decision making process is one of the main factors which highly influence the damages and losses of society, it is extremely important to make right decisions at right time by combining available risk information with advanced web technology of Geographic Information System (GIS) and Decision Support System (DSS). This paper presents an integrated web-based decision support system (DSS) of how to use risk information in risk management efficiently and effectively while highlighting the importance of a decision support system in the field of risk reduction. Beyond the conventional systems, it provides the users to define their own strategies starting from risk identification to the risk reduction, which leads to an integrated approach in risk management. In addition, it also considers the complexity of changing environment from different perspectives and sectors with diverse stakeholders' involvement in the development process. The aim of this platform is to contribute a part towards the natural hazards and geosciences society by developing an open-source web platform where the users can analyze risk profiles and make decisions by performing cost benefit analysis, Environmental Impact Assessment (EIA) and Strategic Environmental Assessment (SEA) with the support of others tools and resources provided. There are different access rights to the system depending on the user profiles and their responsibilities. The system is still under development and the current version provides maps viewing, basic GIS functionality, assessment of important infrastructures (e.g. bridge, hospital, etc.) affected by landslides and visualization of the impact

Evaluating a multispecies adaptive management framework: Must uncertainty impede effective decision-making?

USGS Publications Warehouse

Smith, David R.; McGowan, Conor P.; Daily, Jonathan P.; Nichols, James D.; Sweka, John A.; Lyons, James E.

2013-01-01

Application of adaptive management to complex natural resource systems requires careful evaluation to ensure that the process leads to improved decision-making. As part of that evaluation, adaptive policies can be compared with alternative nonadaptive management scenarios. Also, the value of reducing structural (ecological) uncertainty to achieving management objectives can be quantified.A multispecies adaptive management framework was recently adopted by the Atlantic States Marine Fisheries Commission for sustainable harvest of Delaware Bay horseshoe crabs Limulus polyphemus, while maintaining adequate stopover habitat for migrating red knots Calidris canutus rufa, the focal shorebird species. The predictive model set encompassed the structural uncertainty in the relationships between horseshoe crab spawning, red knot weight gain and red knot vital rates. Stochastic dynamic programming was used to generate a state-dependent strategy for harvest decisions given that uncertainty. In this paper, we employed a management strategy evaluation approach to evaluate the performance of this adaptive management framework. Active adaptive management was used by including model weights as state variables in the optimization and reducing structural uncertainty by model weight updating.We found that the value of information for reducing structural uncertainty is expected to be low, because the uncertainty does not appear to impede effective management. Harvest policy responded to abundance levels of both species regardless of uncertainty in the specific relationship that generated those abundances. Thus, the expected horseshoe crab harvest and red knot abundance were similar when the population generating model was uncertain or known, and harvest policy was robust to structural uncertainty as specified.Synthesis and applications. The combination of management strategy evaluation with state-dependent strategies from stochastic dynamic programming was an informative approach to

Managing Costs, Managing Benefits: Employer Decisions in Local Health Care Markets

PubMed Central

Christianson, Jon B; Trude, Sally

2003-01-01

Objectives To better understand employer health benefit decision making, how employer health benefits strategies evolve over time, and the impact of employer decisions on local health care systems. Data Sources/Study Setting. Data were collected as part of the Community Tracking Study (CTS), a longitudinal analysis of health system change in 12 randomly selected communities. Study Design This is an observational study with data collection over a six-year period. Data Collection/Extraction Methods The study used semistructured interviews with local respondents, combined with monitoring of local media, to track changes in health care systems over time and their impact on community residents. Interviewing began in 1996 and was carried out at two-year intervals, with a total of approximately 2,200 interviews. The interviews provided a variety of perspectives on employer decision making concerning health benefits; these perspectives were triangulated to reach conclusions. Principal Findings The tight labor market during the study period was the dominant consideration in employer decision making regarding health benefits. Employers, in managing employee compensation, made independent decisions in pursuit of individual goals, but these decisions were shaped by similar labor market conditions. As a result, within and across our study sites, employer decisions in aggregate had an important impact on local health care systems, although employers' more highly visible public efforts to bring about health system change often met with disappointing results. Conclusions General economic conditions in the 1990s had an important impact on the configuration of local health systems through their effect on employer decision making regarding health benefits offered to employees, and the responses of health plans and providers to those decisions. PMID:12650371

The effect of scientific evidence on conservation practitioners' management decisions.

PubMed

Walsh, Jessica C; Dicks, Lynn V; Sutherland, William J

2015-02-01

A major justification of environmental management research is that it helps practitioners, yet previous studies show it is rarely used to inform their decisions. We tested whether conservation practitioners focusing on bird management were willing to use a synopsis of relevant scientific literature to inform their management decisions. This allowed us to examine whether the limited use of scientific information in management is due to a lack of access to the scientific literature or whether it is because practitioners are either not interested or unable to incorporate the research into their decisions. In on-line surveys, we asked 92 conservation managers, predominantly from Australia, New Zealand, and the United Kingdom, to provide opinions on 28 management techniques that could be applied to reduce predation on birds. We asked their opinions before and after giving them a summary of the literature about the interventions' effectiveness. We scored the overall effectiveness and certainty of evidence for each intervention through an expert elicitation process-the Delphi method. We used the effectiveness scores to assess the practitioners' level of understanding and awareness of the literature. On average, each survey participant changed their likelihood of using 45.7% of the interventions after reading the synopsis of the evidence. They were more likely to implement effective interventions and avoid ineffective actions, suggesting that their intended future management strategies may be more successful than current practice. More experienced practitioners were less likely to change their management practices than those with less experience, even though they were not more aware of the existing scientific information than less experienced practitioners. The practitioners' willingness to change their management choices when provided with summarized scientific evidence suggests that improved accessibility to scientific information would benefit conservation management

Watershed forest management using decision support technology

Treesearch

Mark Twery; Robert Northrop

2004-01-01

Using innovative partnerships and a variety of decision support tools, we identified the needs and goals of Baltimore, Maryland, for their reservoir properties containing over 17000 forested acres; developed a management plan; determined the information necessary to evaluate conditions, processes, and context; chose tools to use; collected, organized, and analyzed data...

Science-based natural resource management decisions: what are they?

Treesearch

T.J. Mills; T.M. Quigley; F.J. Everest

2001-01-01

While many people interested in natural resources management propose science-based decisions, it is not clear what “science-based” means. Science-based decisions are those that result from the full and complete consideration of the relevant science information. We offer five guidelines to focus the scientist’s contributions to science-based decisionmaking and use the...

Use of a web-based survey to facilitate shared decision making for patients eligible for cancer screening.

PubMed

Brackett, Charles D; Kearing, Stephen

2015-04-01

Our aim was to facilitate shared decision making (SDM) during preventive visits by utilizing a web-based survey system to offer colorectal cancer (CRC) and prostate cancer screening decision aids (DAs) to appropriately identified patients prior to the visit. Patients completed a web-based questionnaire before their preventive medicine appointment. Age- and gender-appropriate patients completed additional questions to determine eligibility for CRC or prostate-specific antigen (PSA) screening. Eligible patients were offered a choice of video or print DA, and completed questions assessing their knowledge, values, and preferences regarding the screening decision. Responses were summarized and fed forward to clinician and patient reports. Overall, 11,493 CRC and 4,384 PSA questionnaires were completed. Patient responses were used to identify those eligible for cancer-screening DAs: 2,187 (19 %) for CRC and 2,962 (68 %) for PSA; 15 % of eligible patients requested a DA. Many patients declined a DA because they indicated they "already know enough to make their decision" (34 % for CRC, 46 % for PSA). A web-based questionnaire provides an efficient means to identify patients eligible for cancer screening decisions and to offer them DAs before an appointment. Pre-visit use of DAs along with reports giving feedback to patients and clinicians provides an opportunity for SDM to occur at the visit.

Using multi-species occupancy models in structured decision making on managed lands

USGS Publications Warehouse

Sauer, John R.; Blank, Peter J.; Zipkin, Elise F.; Fallon, Jane E.; Fallon, Frederick W.

2013-01-01

Land managers must balance the needs of a variety of species when manipulating habitats. Structured decision making provides a systematic means of defining choices and choosing among alternative management options; implementation of a structured decision requires quantitative approaches to predicting consequences of management on the relevant species. Multi-species occupancy models provide a convenient framework for making structured decisions when the management objective is focused on a collection of species. These models use replicate survey data that are often collected on managed lands. Occupancy can be modeled for each species as a function of habitat and other environmental features, and Bayesian methods allow for estimation and prediction of collective responses of groups of species to alternative scenarios of habitat management. We provide an example of this approach using data from breeding bird surveys conducted in 2008 at the Patuxent Research Refuge in Laurel, Maryland, evaluating the effects of eliminating meadow and wetland habitats on scrub-successional and woodland-breeding bird species using summed total occupancy of species as an objective function. Removal of meadows and wetlands decreased value of an objective function based on scrub-successional species by 23.3% (95% CI: 20.3–26.5), but caused only a 2% (0.5, 3.5) increase in value of an objective function based on woodland species, documenting differential effects of elimination of meadows and wetlands on these groups of breeding birds. This approach provides a useful quantitative tool for managers interested in structured decision making.

Opportunities and Strategies to Incorporate Ecosystem Services Knowledge and Decision Support Tools into Planning and Decision Making in Hawai`i

NASA Astrophysics Data System (ADS)

Bremer, Leah L.; Delevaux, Jade M. S.; Leary, James J. K.; J. Cox, Linda; Oleson, Kirsten L. L.

2015-04-01

Incorporating ecosystem services into management decisions is a promising means to link conservation and human well-being. Nonetheless, planning and management in Hawai`i, a state with highly valued natural capital, has yet to broadly utilize an ecosystem service approach. We conducted a stakeholder assessment, based on semi-structured interviews, with terrestrial ( n = 26) and marine ( n = 27) natural resource managers across the State of Hawai`i to understand the current use of ecosystem services (ES) knowledge and decision support tools and whether, how, and under what contexts, further development would potentially be useful. We found that ES knowledge and tools customized to Hawai`i could be useful for communication and outreach, justifying management decisions, and spatial planning. Greater incorporation of this approach is clearly desired and has a strong potential to contribute to more sustainable decision making and planning in Hawai`i and other oceanic island systems. However, the unique biophysical, socio-economic, and cultural context of Hawai`i, and other island systems, will require substantial adaptation of existing ES tools. Based on our findings, we identified four key opportunities for the use of ES knowledge and tools in Hawai`i: (1) linking native forest protection to watershed health; (2) supporting sustainable agriculture; (3) facilitating ridge-to-reef management; and (4) supporting statewide terrestrial and marine spatial planning. Given the interest expressed by natural resource managers, we envision broad adoption of ES knowledge and decision support tools if knowledge and tools are tailored to the Hawaiian context and coupled with adequate outreach and training.

Opportunities and strategies to incorporate ecosystem services knowledge and decision support tools into planning and decision making in Hawai'i.

PubMed

Bremer, Leah L; Delevaux, Jade M S; Leary, James J K; J Cox, Linda; Oleson, Kirsten L L

2015-04-01

Incorporating ecosystem services into management decisions is a promising means to link conservation and human well-being. Nonetheless, planning and management in Hawai'i, a state with highly valued natural capital, has yet to broadly utilize an ecosystem service approach. We conducted a stakeholder assessment, based on semi-structured interviews, with terrestrial (n = 26) and marine (n = 27) natural resource managers across the State of Hawai'i to understand the current use of ecosystem services (ES) knowledge and decision support tools and whether, how, and under what contexts, further development would potentially be useful. We found that ES knowledge and tools customized to Hawai'i could be useful for communication and outreach, justifying management decisions, and spatial planning. Greater incorporation of this approach is clearly desired and has a strong potential to contribute to more sustainable decision making and planning in Hawai'i and other oceanic island systems. However, the unique biophysical, socio-economic, and cultural context of Hawai'i, and other island systems, will require substantial adaptation of existing ES tools. Based on our findings, we identified four key opportunities for the use of ES knowledge and tools in Hawai'i: (1) linking native forest protection to watershed health; (2) supporting sustainable agriculture; (3) facilitating ridge-to-reef management; and (4) supporting statewide terrestrial and marine spatial planning. Given the interest expressed by natural resource managers, we envision broad adoption of ES knowledge and decision support tools if knowledge and tools are tailored to the Hawaiian context and coupled with adequate outreach and training.

'Walking the tightrope': The role of peer support workers in facilitating consumers' participation in decision-making.

PubMed

Cleary, Michelle; Raeburn, Toby; Escott, Phil; West, Sancia; Lopez, Violeta

2018-05-09

In adult mental health services, the participation of consumers is essential. The aim of this study was to explore the challenges faced by peer support workers when involving mental health consumers in decision-making about their care and the strategies they employed to overcome these challenges so as to improve mental health consumers' participation in decision-making and recovery. Semi-structured individual interviews were conducted with six peer support workers currently employed in psychiatric hospitals and/or community mental health systems. Thematic analysis identified challenges related to role definition, power imbalance, doctor-centric medical approaches to care, and lack of resources. Strategies to overcome these challenges that were reported, included the following: facilitating meaningful involvement for service users, appropriate use of the lived experience, building relationships and communication, promoting rights and advocacy, and promoting professionalism of peer support workers (PSWs). Nursing staff need ongoing support and education to understand and value the varied roles of PSWs and thereby empower PSWs to engage in enhancing consumer decision-making. The roles of the PSWs should be viewed as complementary, and greater appreciation and understanding of roles would better support recovery-oriented care. © 2018 Australian College of Mental Health Nurses Inc.

Barriers and facilitators to epilepsy self-management for patients with physical and psychological co-morbidity.

PubMed

Perzynski, Adam T; Ramsey, Riane K; Colón-Zimmermann, Kari; Cage, Jamie; Welter, Elisabeth; Sajatovic, Martha

2017-09-01

Objectives This exploratory study identifies barriers and facilitators to self-management to inform future epilepsy self-management interventions for persons who have epilepsy complicated by co-morbid mental health conditions and serious medical events. Methods Focus group methods were used in a series of community advisory board meetings. Analysis was conducted using a thematic, constant comparative approach aiming to describe the range of barriers and facilitators salient to participants. There were a total of 22 participants, including 8 health professionals, 9 patients with epilepsy, and 5 care partners. Mean age was 49.1 (SD = 11.0, range 32-69), 11 (50%) were female, and 11 (50%) were male. For those with epilepsy, mean years having epilepsy was 24.7 (SD = 19.9, range 1-58 years). Results Individual psychological barriers (mental illness, fatigue, and psychological distress) prominently interfered with health behaviors. Community and family barriers included stigma, lack of epilepsy knowledge, and poor social support. Facilitators included planning for seizures, learning about medications, stress management, socializing with others, and talking with other epilepsy patients. Discussion Qualitative evidence in this study suggests a linkage between social integration and positive health behaviors. Future efforts to embed patients with epilepsy and their caregivers into clinical care processes could offset barriers and enhance facilitators.

Benefit cost models to support pavement management decisions.

DOT National Transportation Integrated Search

2012-06-01

A critical role of pavement management is to provide decision makers with estimates of the required budget level to achieve specific steady-state network conditions, and to recommend the best allocation of available budget among competing needs for m...

Multi-criteria decision analysis as an innovative approach to managing zoonoses: results from a study on Lyme disease in Canada

PubMed Central

2013-01-01

Background Zoonoses are a growing international threat interacting at the human-animal-environment interface and call for transdisciplinary and multi-sectoral approaches in order to achieve effective disease management. The recent emergence of Lyme disease in Quebec, Canada is a good example of a complex health issue for which the public health sector must find protective interventions. Traditional preventive and control interventions can have important environmental, social and economic impacts and as a result, decision-making requires a systems approach capable of integrating these multiple aspects of interventions. This paper presents the results from a study of a multi-criteria decision analysis (MCDA) approach for the management of Lyme disease in Quebec, Canada. MCDA methods allow a comparison of interventions or alternatives based on multiple criteria. Methods MCDA models were developed to assess various prevention and control decision criteria pertinent to a comprehensive management of Lyme disease: a first model was developed for surveillance interventions and a second was developed for control interventions. Multi-criteria analyses were conducted under two epidemiological scenarios: a disease emergence scenario and an epidemic scenario. Results In general, we observed a good level of agreement between stakeholders. For the surveillance model, the three preferred interventions were: active surveillance of vectors by flagging or dragging, active surveillance of vectors by trapping of small rodents and passive surveillance of vectors of human origin. For the control interventions model, basic preventive communications, human vaccination and small scale landscaping were the three preferred interventions. Scenarios were found to only have a small effect on the group ranking of interventions in the control model. Conclusions MCDA was used to structure key decision criteria and capture the complexity of Lyme disease management. This facilitated the

Multi-criteria decision analysis as an innovative approach to managing zoonoses: results from a study on Lyme disease in Canada.

PubMed

Aenishaenslin, Cécile; Hongoh, Valérie; Cissé, Hassane Djibrilla; Hoen, Anne Gatewood; Samoura, Karim; Michel, Pascal; Waaub, Jean-Philippe; Bélanger, Denise

2013-09-30

Zoonoses are a growing international threat interacting at the human-animal-environment interface and call for transdisciplinary and multi-sectoral approaches in order to achieve effective disease management. The recent emergence of Lyme disease in Quebec, Canada is a good example of a complex health issue for which the public health sector must find protective interventions. Traditional preventive and control interventions can have important environmental, social and economic impacts and as a result, decision-making requires a systems approach capable of integrating these multiple aspects of interventions. This paper presents the results from a study of a multi-criteria decision analysis (MCDA) approach for the management of Lyme disease in Quebec, Canada. MCDA methods allow a comparison of interventions or alternatives based on multiple criteria. MCDA models were developed to assess various prevention and control decision criteria pertinent to a comprehensive management of Lyme disease: a first model was developed for surveillance interventions and a second was developed for control interventions. Multi-criteria analyses were conducted under two epidemiological scenarios: a disease emergence scenario and an epidemic scenario. In general, we observed a good level of agreement between stakeholders. For the surveillance model, the three preferred interventions were: active surveillance of vectors by flagging or dragging, active surveillance of vectors by trapping of small rodents and passive surveillance of vectors of human origin. For the control interventions model, basic preventive communications, human vaccination and small scale landscaping were the three preferred interventions. Scenarios were found to only have a small effect on the group ranking of interventions in the control model. MCDA was used to structure key decision criteria and capture the complexity of Lyme disease management. This facilitated the identification of gaps in the scientific literature

Economic evaluations of health technologies in Dutch healthcare decision-making: a qualitative study of the current and potential use, barriers, and facilitators.

PubMed

Roseboom, Kitty J; van Dongen, Johanna M; Tompa, Emile; van Tulder, Maurits W; Bosmans, Judith E

2017-01-26

The use of economic evaluations in healthcare decision-making can potentially help decision-makers in allocating scarce resources as efficiently as possible. Over a decade ago, the use of such studies was found to be limited in Dutch healthcare decision-making, but their current use is unknown. Therefore, this study aimed to provide insight into the current and potential use of economic evaluations in Dutch healthcare decision-making and to identify barriers and facilitators to the use of such studies. Interviews containing semi-structured and structured questions were conducted among Dutch healthcare decision-makers. Participants were purposefully selected and special efforts were made to include decision-makers working at the macro- (national), meso- (local/regional), and micro-level (patient setting). During the interviews, a topic list was used that was based on the research questions and a literature search, and was developed in consultation with the Dutch National Healthcare Institute. Responses to the semi-structured questions were analyzed using a constant comparative approach. As for the structured questions, participants' definitions of various economic evaluation concepts were scored as either being "correct" or "incorrect" by two researchers, and summary statistics were prepared. Sixteen healthcare decision-makers were interviewed and two health economists. Decision-makers' knowledge of economic evaluations was only modest, and their current use appeared to be limited. Nonetheless, decision-makers recognized the importance of economic evaluations and saw several opportunities for extending their use at the macro- and meso-level, but not at the micro-level. The disparity between the limited use and recognition of the importance of economic evaluations is likely due to the many barriers decision-makers experience preventing their use (e.g. lack of resources, lack of formal willingness-to-pay threshold). Possible facilitators for extending the use of

Recent advances in applying decision science to managing national forests

Treesearch

Bruce G. Marcot; Matthew P. Thompson; Michael C. Runge; Frank R. Thompson; Steven McNulty; David Cleaves; Monica Tomosy; Larry A. Fisher; Andrew Bliss

2012-01-01

Management of federal public forests to meet sustainability goals and multiple use regulations is an immense challenge. To succeed, we suggest use of formal decision science procedures and tools in the context of structured decision making (SDM). SDM entails four stages: problem structuring (framing the problem and defining objectives and evaluation criteria), problem...

A risk-based approach to flood management decisions in a nonstationary world

NASA Astrophysics Data System (ADS)

Rosner, Ana; Vogel, Richard M.; Kirshen, Paul H.

2014-03-01

Traditional approaches to flood management in a nonstationary world begin with a null hypothesis test of "no trend" and its likelihood, with little or no attention given to the likelihood that we might ignore a trend if it really existed. Concluding a trend exists when it does not, or rejecting a trend when it exists are known as type I and type II errors, respectively. Decision-makers are poorly served by statistical and/or decision methods that do not carefully consider both over- and under-preparation errors, respectively. Similarly, little attention is given to how to integrate uncertainty in our ability to detect trends into a flood management decision context. We show how trend hypothesis test results can be combined with an adaptation's infrastructure costs and damages avoided to provide a rational decision approach in a nonstationary world. The criterion of expected regret is shown to be a useful metric that integrates the statistical, economic, and hydrological aspects of the flood management problem in a nonstationary world.

Artificial intelligence based decision support for trumpeter swan management

USGS Publications Warehouse

Sojda, Richard S.

2002-01-01

The number of trumpeter swans (Cygnus buccinator) breeding in the Tri-State area where Montana, Idaho, and Wyoming come together has declined to just a few hundred pairs. However, these birds are part of the Rocky Mountain Population which additionally has over 3,500 birds breeding in Alberta, British Columbia, Northwest Territories, and Yukon Territory. To a large degree, these birds seem to have abandoned traditional migratory pathways in the flyway. Waterfowl managers have been interested in decision support tools that would help them explore simulated management scenarios in their quest towards reaching population recovery and the reestablishment of traditional migratory pathways. I have developed a decision support system to assist biologists with such management, especially related to wetland ecology. Decision support systems use a combination of models, analytical techniques, and information retrieval to help develop and evaluate appropriate alternatives. Swan management is a domain that is ecologically complex, and this complexity is compounded by spatial and temporal issues. As such, swan management is an inherently distributed problem. Therefore, the ecological context for modeling swan movements in response to management actions was built as a multiagent system of interacting intelligent agents that implements a queuing model representing swan migration. These agents accessed ecological knowledge about swans, their habitats, and flyway management principles from three independent expert systems. The agents were autonomous, had some sensory capability, and could respond to changing conditions. A key problem when developing ecological decision support systems is empirically determining that the recommendations provided are valid. Because Rocky Mountain trumpeter swans have been surveyed for a long period of time, I was able to compare simulated distributions provided by the system with actual field observations across 20 areas for the period 1988

The evaluation of a mental health facilitator in general practice: effects on recognition, management, and outcome of mental illness.

PubMed

Bashir, K; Blizard, B; Bosanquet, A; Bosanquet, N; Mann, A; Jenkins, R

2000-08-01

Facilitation uses personal contact between the facilitator and the professional to encourage good practice and better service organisation. The model has been applied to physical illness but not to psychiatric disorders. To determine if a non-specialist facilitator can improve the recognition, management, and outcome of psychiatric illness presenting to general practitioners (GPs). Six practices were visited over an 18-month period by a facilitator whose activities included providing guidelines and organising training initiatives. Six other practices acted as controls. Recognition (identification index of family doctors), management (psychotropic prescribing, psychological consultations with the GP, specialist mental health treatment, and the use of medical interventions and investigations), and patient outcome at four months were assessed before and after intervention. The mean identification index of facilitator GPs rose from 0.51 to 0.64 following intervention, while that of the control GPs fell from 0.67 to 0.59 (P = 0.046). The facilitator had no detectable effect on management or patient outcome. The facilitator improved recognition of psychiatric illness by GPs. Generic facilitators can be trained to take on a mental health role; however, the failure to achieve more fundamental changes in treatment and outcome implies that facilitator intervention requires development.

Development and impact of computerised decision support systems for clinical management of depression: A systematic review.

PubMed

Triñanes, Yolanda; Atienza, Gerardo; Louro-González, Arturo; de-las-Heras-Liñero, Elena; Alvarez-Ariza, María; Palao, Diego J

2015-01-01

One of the proposals for improving clinical practice is to introduce computerised decision support systems (CDSS) and integrate these with electronic medical records. Accordingly, this study sought to systematically review evidence on the effectiveness of CDSS in the management of depression. A search was performed in Medline, EMBASE and PsycInfo, in order to do this. The quality of quantitative studies was assessed using the SIGN method, and qualitative studies using the CASPe checklist. Seven studies were identified (3 randomised clinical trials, 3 non-randomised trials, and one qualitative study). The CDSS assessed incorporated content drawn from guidelines and other evidence-based products. In general, the CDSS had a positive impact on different aspects, such as the screening and diagnosis, treatment, improvement in depressive symptoms and quality of life, and referral of patients. The use of CDSS could thus serve to optimise care of depression in various scenarios by providing recommendations based on the best evidence available and facilitating decision-making in clinical practice. Copyright © 2014 SEP y SEPB. Published by Elsevier España. All rights reserved.

Insurance Contract Analysis for Company Decision Support in Acquisition Management

NASA Astrophysics Data System (ADS)

Chernovita, H. P.; Manongga, D.; Iriani, A.

2017-01-01

One of company activities to retain their business is marketing the products which include in acquisition management to get new customers. Insurance contract analysis using ID3 to produce decision tree and rules to be decision support for the insurance company. The decision tree shows 13 rules that lead to contract termination claim. This could be a guide for the insurance company in acquisition management to prevent contract binding with these contract condition because it has a big chance for the customer to terminate their insurance contract before its expired date. As the result, there are several strong points that could be the determinant of contract termination such as: 1) customer age whether too young or too old, 2) long insurance period (above 10 years), 3) big insurance amount, 4) big amount of premium charges, and 5) payment method.

Decision analysis framing study; in-valley drainage management strategies for the western San Joaquin Valley, California

USGS Publications Warehouse

Presser, Theresa S.; Jenni, Karen E.; Nieman, Timothy; Coleman, James

2010-01-01

Constraints on drainage management in the western San Joaquin Valley and implications of proposed approaches to management were recently evaluated by the U.S. Geological Survey (USGS). The USGS found that a significant amount of data for relevant technical issues was available and that a structured, analytical decision support tool could help optimize combinations of specific in-valley drainage management strategies, address uncertainties, and document underlying data analysis for future use. To follow-up on USGS's technical analysis and to help define a scientific basis for decisionmaking in implementing in-valley drainage management strategies, this report describes the first step (that is, a framing study) in a Decision Analysis process. In general, a Decision Analysis process includes four steps: (1) problem framing to establish the scope of the decision problem(s) and a set of fundamental objectives to evaluate potential solutions, (2) generation of strategies to address identified decision problem(s), (3) identification of uncertainties and their relationships, and (4) construction of a decision support model. Participation in such a systematic approach can help to promote consensus and to build a record of qualified supporting data for planning and implementation. In December 2008, a Decision Analysis framing study was initiated with a series of meetings designed to obtain preliminary input from key stakeholder groups on the scope of decisions relevant to drainage management that were of interest to them, and on the fundamental objectives each group considered relevant to those decisions. Two key findings of this framing study are: (1) participating stakeholders have many drainage management objectives in common; and (2) understanding the links between drainage management and water management is necessary both for sound science-based decisionmaking and for resolving stakeholder differences about the value of proposed drainage management solutions. Citing

A decision analysis approach for risk management of near-earth objects

NASA Astrophysics Data System (ADS)

Lee, Robert C.; Jones, Thomas D.; Chapman, Clark R.

2014-10-01

Risk management of near-Earth objects (NEOs; e.g., asteroids and comets) that can potentially impact Earth is an important issue that took on added urgency with the Chelyabinsk event of February 2013. Thousands of NEOs large enough to cause substantial damage are known to exist, although only a small fraction of these have the potential to impact Earth in the next few centuries. The probability and location of a NEO impact are subject to complex physics and great uncertainty, and consequences can range from minimal to devastating, depending upon the size of the NEO and location of impact. Deflecting a potential NEO impactor would be complex and expensive, and inter-agency and international cooperation would be necessary. Such deflection campaigns may be risky in themselves, and mission failure may result in unintended consequences. The benefits, risks, and costs of different potential NEO risk management strategies have not been compared in a systematic fashion. We present a decision analysis framework addressing this hazard. Decision analysis is the science of informing difficult decisions. It is inherently multi-disciplinary, especially with regard to managing catastrophic risks. Note that risk analysis clarifies the nature and magnitude of risks, whereas decision analysis guides rational risk management. Decision analysis can be used to inform strategic, policy, or resource allocation decisions. First, a problem is defined, including the decision situation and context. Second, objectives are defined, based upon what the different decision-makers and stakeholders (i.e., participants in the decision) value as important. Third, quantitative measures or scales for the objectives are determined. Fourth, alternative choices or strategies are defined. Fifth, the problem is then quantitatively modeled, including probabilistic risk analysis, and the alternatives are ranked in terms of how well they satisfy the objectives. Sixth, sensitivity analyses are performed in

The Wildland Fire Decision Support System: Integrating science, technology, and fire management

Treesearch

Morgan Pence; Tom Zimmerman

2011-01-01

Federal agency policy requires documentation and analysis of all wildland fire response decisions. In the past, planning and decision documentation for fires were completed using multiple unconnected processes, yielding many limitations. In response, interagency fire management executives chartered the development of the Wildland Fire Decision Support System (WFDSS)....

Managed Hearts? Emotional Labour and the Applied Theatre Facilitator in Urban Settings

ERIC Educational Resources Information Center

Prestona, Sheila

2013-01-01

This paper reflects on Arlie Hochschild's concept of "Emotional Labour" to investigate the emotion work undertaken by artists facilitating participatory arts in urban community settings. The discussion seeks to capture the emotional cost of "managing" feelings to understand the resilient practitioner in wider political…

Data Management & Decision Making. Technical Report No. 14.

ERIC Educational Resources Information Center

Speedie, Stuart M.; Sanders, Susan

"Data Management and Decision Making" is a set of instructional materials designed to teach practicing and potential educational administrators about the uses of operations research in educational administration. It consists of five units--"Operations Research in Education,""PERT/CPM: A Planning and Analysis…

Dynamic decision making for dam-break emergency management - Part 1: Theoretical framework

NASA Astrophysics Data System (ADS)

Peng, M.; Zhang, L. M.

2013-02-01

An evacuation decision for dam breaks is a very serious issue. A late decision may lead to loss of lives and properties, but a very early evacuation will incur unnecessary expenses. This paper presents a risk-based framework of dynamic decision making for dam-break emergency management (DYDEM). The dam-break emergency management in both time scale and space scale is introduced first to define the dynamic decision problem. The probability of dam failure is taken as a stochastic process and estimated using a time-series analysis method. The flood consequences are taken as functions of warning time and evaluated with a human risk analysis model (HURAM) based on Bayesian networks. A decision criterion is suggested to decide whether to evacuate the population at risk (PAR) or to delay the decision. The optimum time for evacuating the PAR is obtained by minimizing the expected total loss, which integrates the time-related probabilities and flood consequences. When a delayed decision is chosen, the decision making can be updated with available new information. A specific dam-break case study is presented in a companion paper to illustrate the application of this framework to complex dam-breaching problems.

Making decisions in complex landscapes: Headwater stream management across multiple federal agencies

USGS Publications Warehouse

Katz, Rachel; Grant, Evan H. Campbell; Runge, Michael C.; Connery, Bruce; Crockett, Marquette; Herland, Libby; Johnson, Sheela; Kirk, Dawn; Wofford, Jeb; Bennett, Rick; Nislow, Keith; Norris, Marian; Hocking, Daniel; Letcher, Benjamin; Roy, Allison

2014-01-01

Headwater stream ecosystems are vulnerable to numerous threats associated with climate and land use change. In the northeastern US, many headwater stream species (e.g., brook trout and stream salamanders) are of special conservation concern and may be vulnerable to climate change influences, such as changes in stream temperature and streamflow. Federal land management agencies (e.g., US Fish and Wildlife Service, National Park Service, USDA Forest Service, Bureau of Land Management and Department of Defense) are required to adopt policies that respond to climate change and may have longer-term institutional support to enforce such policies compared to state, local, non-governmental, or private land managers. However, federal agencies largely make management decisions in regards to headwater stream ecosystems independently. This fragmentation of management resources and responsibilities across the landscape may significantly impede the efficiency and effectiveness of conservation actions, and higher degrees of collaboration may be required to achieve conservation goals. This project seeks to provide an example of cooperative landscape decision-making to address the conservation of headwater stream ecosystems. We identified shared and contrasting objectives of each federal agency and potential collaboration opportunities that may increase efficient and effective management of headwater stream ecosystems in two northeastern US watersheds. These workshops provided useful insights into the adaptive capacity of federal institutions to address threats to headwater stream ecosystems. Our ultimate goal is to provide a decision-making framework and analysis that addresses large-scale conservation threats across multiple stakeholders, as a demonstration of cooperative landscape conservation for aquatic ecosystems. Additionally, we aim to provide new scientific knowledge and a regional perspective to resource managers to help inform local management decisions.

Right For Me: protocol for a cluster randomised trial of two interventions for facilitating shared decision-making about contraceptive methods.

PubMed

Thompson, Rachel; Manski, Ruth; Donnelly, Kyla Z; Stevens, Gabrielle; Agusti, Daniela; Banach, Michelle; Boardman, Maureen B; Brady, Pearl; Colón Bradt, Christina; Foster, Tina; Johnson, Deborah J; Li, Zhongze; Norsigian, Judy; Nothnagle, Melissa; Olson, Ardis L; Shepherd, Heather L; Stern, Lisa F; Tosteson, Tor D; Trevena, Lyndal; Upadhya, Krishna K; Elwyn, Glyn

2017-10-22

Despite the observed and theoretical advantages of shared decision-making in a range of clinical contexts, including contraceptive care, there remains a paucity of evidence on how to facilitate its adoption. This paper describes the protocol for a study to assess the comparative effectiveness of patient-targeted and provider-targeted interventions for facilitating shared decision-making about contraceptive methods. We will conduct a 2×2 factorial cluster randomised controlled trial with four arms: (1) video+prompt card, (2) decision aids+training, (3) video+prompt card and decision aids+training and (4) usual care. The clusters will be clinics in USA that deliver contraceptive care. The participants will be people who have completed a healthcare visit at a participating clinic, were assigned female sex at birth, are aged 15-49 years, are able to read and write English or Spanish and have not previously participated in the study. The primary outcome will be shared decision-making about contraceptive methods. Secondary outcomes will be the occurrence of a conversation about contraception in the healthcare visit, satisfaction with the conversation about contraception, intended contraceptive method(s), intention to use a highly effective method, values concordance of the intended method(s), decision regret, contraceptive method(s) used, use of a highly effective method, use of the intended method(s), adherence, satisfaction with the method(s) used, unintended pregnancy and unwelcome pregnancy. We will collect study data via longitudinal patient surveys administered immediately after the healthcare visit, four weeks later and six months later. We will disseminate results via presentations at scientific and professional conferences, papers published in peer-reviewed, open-access journals and scientific and lay reports. We will also make an anonymised copy of the final participant-level dataset available to others for research purposes. Clinical

Right For Me: protocol for a cluster randomised trial of two interventions for facilitating shared decision-making about contraceptive methods

PubMed Central

Thompson, Rachel; Manski, Ruth; Donnelly, Kyla Z; Stevens, Gabrielle; Agusti, Daniela; Banach, Michelle; Boardman, Maureen B; Brady, Pearl; Colón Bradt, Christina; Foster, Tina; Johnson, Deborah J; Li, Zhongze; Norsigian, Judy; Nothnagle, Melissa; Olson, Ardis L; Shepherd, Heather L; Stern, Lisa F; Tosteson, Tor D; Trevena, Lyndal; Upadhya, Krishna K; Elwyn, Glyn

2017-01-01

Introduction Despite the observed and theoretical advantages of shared decision-making in a range of clinical contexts, including contraceptive care, there remains a paucity of evidence on how to facilitate its adoption. This paper describes the protocol for a study to assess the comparative effectiveness of patient-targeted and provider-targeted interventions for facilitating shared decision-making about contraceptive methods. Methods and analysis We will conduct a 2×2 factorial cluster randomised controlled trial with four arms: (1) video+prompt card, (2) decision aids+training, (3) video+prompt card and decision aids+training and (4) usual care. The clusters will be clinics in USA that deliver contraceptive care. The participants will be people who have completed a healthcare visit at a participating clinic, were assigned female sex at birth, are aged 15–49 years, are able to read and write English or Spanish and have not previously participated in the study. The primary outcome will be shared decision-making about contraceptive methods. Secondary outcomes will be the occurrence of a conversation about contraception in the healthcare visit, satisfaction with the conversation about contraception, intended contraceptive method(s), intention to use a highly effective method, values concordance of the intended method(s), decision regret, contraceptive method(s) used, use of a highly effective method, use of the intended method(s), adherence, satisfaction with the method(s) used, unintended pregnancy and unwelcome pregnancy. We will collect study data via longitudinal patient surveys administered immediately after the healthcare visit, four weeks later and six months later. Ethics and dissemination We will disseminate results via presentations at scientific and professional conferences, papers published in peer-reviewed, open-access journals and scientific and lay reports. We will also make an anonymised copy of the final participant-level dataset available

Facilitating smallholder tree farming in fragmented tropical landscapes: Challenges and potentials for sustainable land management.

PubMed

Rahman, Syed Ajijur; Sunderland, Terry; Roshetko, James M; Healey, John Robert

2017-08-01

Under changing land use in tropical Asia, there is evidence of forest product diversification through implementation of tree-based farming by smallholders. This paper assesses in two locations, West Java, Indonesia and eastern Bangladesh, current land use conditions from the perspective of smallholder farmers, the factors that facilitate their adoption of tree farming, and the potential of landscape-scale approaches to foster sustainable land management. Data were collected through rapid rural appraisals, focus group discussions, field observations, semi-structured interviews of farm households and key informant interviews of state agricultural officers. Land at both study sites is typically fragmented due to conversion of forest to agriculture and community settlement. Local land use challenges are associated with pressures of population increase, poverty, deforestation, shortage of forest products, lack of community-scale management, weak tenure, underdeveloped markets, government decision-making with insufficient involvement of local people, and poor extension services. Despite these challenges, smallholder tree farming is found to be successful from farmers' perspectives. However, constraints of local food crop cultivation traditions, insecure land tenure, lack of capital, lack of knowledge, lack of technical assistance, and perceived risk of investing in land due to local conflict (in Bangladesh) limit farmers' willingness to adopt this land use alternative. Overcoming these barriers to adoption will require management at a landscape scale, including elements of both segregation and integration of land uses, supported by competent government policies and local communities having sufficiently high social capital. Copyright © 2017 Elsevier Ltd. All rights reserved.

Decision Support Systems (DSSs) For Contaminated Land Management - Gaps And Challenges

EPA Science Inventory

A plethora of information is available when considering decision support systems for risk-based management of contaminated land. Broad issues of what is contaminated land, what is a brownfield, and what is remediation are discussed in EU countries and the U.S. Making decisions ...

Toward patient-centered, personalized and personal decision support and knowledge management: a survey.

PubMed

Leong, T-Y

2012-01-01

This paper summarizes the recent trends and highlights the challenges and opportunities in decision support and knowledge management for patient-centered, personalized, and personal health care. The discussions are based on a broad survey of related references, focusing on the most recent publications. Major advances are examined in the areas of i) shared decision making paradigms, ii) continuity of care infrastructures and architectures, iii) human factors and system design approaches, iv) knowledge management innovations, and v) practical deployment and change considerations. Many important initiatives, projects, and plans with promising results have been identified. The common themes focus on supporting the individual patients who are playing an increasing central role in their own care decision processes. New collaborative decision making paradigms and information infrastructures are required to ensure effective continuity of care. Human factors and usability are crucial for the successful development and deployment of the relevant systems, tools, and aids. Advances in personalized medicine can be achieved through integrating genomic, phenotypic and other biological, individual, and population level information, and gaining useful insights from building and analyzing biological and other models at multiple levels of abstraction. Therefore, new Information and Communication Technologies and evaluation approaches are needed to effectively manage the scale and complexity of biomedical and health information, and adapt to the changing nature of clinical decision support. Recent research in decision support and knowledge management combines heterogeneous information and personal data to provide cost-effective, calibrated, personalized support in shared decision making at the point of care. Current and emerging efforts concentrate on developing or extending conventional paradigms, techniques, systems, and architectures for the new predictive, preemptive, and

Designing a Decision Support System (DSS) for Academic Library Managers Using Preprogrammed Application Software on a Microcomputer.

ERIC Educational Resources Information Center

McDonald, Joseph

1986-01-01

Focusing on management decisions in academic libraries, this article compares management information systems (MIS) with decision support systems (DSS) and discusses the decision-making process, information needs of library managers, sources of data, reasons for choosing microcomputer, preprogrammed application software, prototyping a system, and…

Development of an Electronic Medical Record-Based Clinical Decision Support Tool to Improve HIV Symptom Management

PubMed Central

Tsevat, Joel; Justice, Amy C.; Mrus, Joseph M.; Levin, Forrest; Kozal, Michael J.; Mattocks, Kristin; Farber, Steven; Rogers, Michelle; Erdos, Joseph; Brandt, Cynthia; Kudel, Ian; Braithwaite, Ronald

2009-01-01

Abstract Common symptoms associated with HIV disease and its management are often underrecognized and undertreated. A clinical decision support tool for symptom management was developed within the Veterans Health Administration electronic medical record (EMR), aiming at increasing provider awareness of and response to common HIV symptoms. Its feasibility was studied in March to May 2007 by implementing it within a weekly HIV clinic, comparing a 4-week intervention period with a 4-week control period. Fifty-six patients and their providers participated in the study. Patients' perceptions of providers' awareness of their symptoms, proportion of progress notes mentioning any symptom(s) and proportion of care plans mentioning any symptom(s) were measured. The clinical decision support tool used portable electronic “tablets” to elicit symptom information at the time of check-in, filtered, and organized that information into a concise and clinically relevant EMR note available at the point of care, and facilitated clinical responses to that information. It appeared to be well accepted by patients and providers and did not substantially impact workflow. Although this pilot study was not powered to detect effectiveness, 25 (93%) patients in the intervention group reported that their providers were very aware of their symptoms versuas 27 (75%) control patients (p = 0.07). The proportion of providers' notes listing symptoms was similar in both periods; however, there was a trend toward including a greater number of symptoms in intervention period progress notes. The symptom support tool seemed to be useful in clinical HIV care. The Veterans Health Administration EMR may be an effective “laboratory” for developing and testing decision supports. PMID:19538046

Barriers, facilitators, strategies and outcomes to engaging policymakers, healthcare managers and policy analysts in knowledge synthesis: a scoping review protocol.

PubMed

Tricco, Andrea C; Zarin, Wasifa; Rios, Patricia; Pham, Ba'; Straus, Sharon E; Langlois, Etienne V

2016-12-23

Engaging policymakers, healthcare managers and policy analysts in the conduct of knowledge synthesis can help increase its impact. This is particularly important for knowledge synthesis studies commissioned by decision-makers with limited timelines, as well as reviews of health policy and systems research. A scoping review will be conducted to assess barriers, facilitators, strategies and outcomes of engaging these individuals in the knowledge synthesis process. We will follow the Joanna Briggs Institute guidance for scoping reviews. Literature searches of electronic databases (eg, MEDLINE, EMBASE, Cochrane Library, ERIC, PsycINFO) will be conducted from inception onwards. The electronic search will be supplemented by searching for sources that index unpublished/difficult to locate studies (eg, GreyNet International database), as well as through scanning of reference lists of reviews on related topics. All study designs using either qualitative or quantitative methodologies will be eligible if there is a description of the strategies, barriers or facilitators, and outcomes of engaging policymakers, healthcare managers and policy analysts in the knowledge synthesis process. Screening and data abstraction will be conducted by 2 team members independently after a calibration exercise across the team. A third team member will resolve all discrepancies. We will conduct frequency analysis and thematic analysis to chart and characterise the literature, identifying data gaps and opportunities for future research, as well as implications for policy. This project was commissioned by the Alliance for Health Policy and Systems Research, WHO. The results will be used by Alliance Review Centers of health policy and systems research in low-income and middle-income countries that are conducting knowledge synthesis to inform health policymaking and decision-making. Our results will also be disseminated through conference presentations, train-the-trainer events, peer

Decision-support systems for natural-hazards and land-management issues

USGS Publications Warehouse

Dinitz, Laura; Forney, William; Byrd, Kristin

2012-01-01

Scientists at the USGS Western Geographic Science Center are developing decision-support systems (DSSs) for natural-hazards and land-management issues. DSSs are interactive computer-based tools that use data and models to help identify and solve problems. These systems can provide crucial support to policymakers, planners, and communities for making better decisions about long-term natural hazards mitigation and land-use planning.

Decision Support System for an efficient irrigation water management in semi arid environment

NASA Astrophysics Data System (ADS)

Khan, M. A.; Islam, M.; Hafeez, M. M.; Flugel, W. A.

2009-12-01

A significant increase in agricultural productivity over the last few decades has protected the world from episodes of hunger and food shortages. Water management in irrigated agriculture was instrumental in achieving those gains. Water resources are under high pressure due to rapid population growth and increased competition among various sectors. Access to reliable data on water availability, quantity and quality can provide the necessary foundation for sound management of water resources. There are many traditional methods for matching water demand and supply, however imbalances between demand and supply remain inevitable. It is possible to reduce the imbalances considerably through development of appropriate irrigation water management tool that take into account various factors such as soil type, irrigation water supply, and crop water demand. All components of water balance need to be understood and quantified for efficient and sustainable management of water resources. Application of an intelligent Decision Support System (DSS) is becoming significant. A DSS incorporates knowledge and expertise within the decision support framework. It is an integrated set of data, functions, models and other relevant information that efficiently processes input data, simulates models and displays the results in a user friendly format. It helps in decision-making process, to analyse the problem and explore various scenarios to make the most appropriate decision for water management. This paper deals with the Coleambally Irrigation Area (CIA) located in Murrumbidgee catchment, NSW, Australia. An Integrated River Information System called Coleambally IRIS has been developed to improve the irrigation water management ranging from farm to sub-system and system level. It is a web-based information management system with a focus on time series and geospatial hydrological, climatic and remote sensing data including land cover class, surface temperature, soil moisture, Normalized

Using an ecosystem service decision support tool to support ridge to reef management: An example of sediment reduction in west Maui, Hawaii

NASA Astrophysics Data System (ADS)

Falinski, K. A.; Oleson, K.; Htun, H.; Kappel, C.; Lecky, J.; Rowe, C.; Selkoe, K.; White, C.

2016-12-01

Faced with anthropogenic stressors and declining coral reef states, managers concerned with restoration and resilience of coral reefs are increasingly recognizing the need to take a ridge-to-reef, ecosystem-based approach. An ecosystem services framing can help managers move towards these goals, helping to illustrate trade-offs and opportunities of management actions in terms of their impacts on society. We describe a research program building a spatial ecosystem services-based decision-support tool, and being applied to guide ridge-to-reef management in a NOAA priority site in West Maui. We use multiple modeling methods to link biophysical processes to ecosystem services and their spatial flows and social values in an integrating platform. Modeled services include water availability, sediment retention, nutrient retention and carbon sequestration on land. A coral reef ecosystem service model is under development to capture the linkages between terrestrial and coastal ecosystem services. Valuation studies are underway to quantify the implications for human well-being. The tool integrates techniques from decision science to facilitate decision making. We use the sediment retention model to illustrate the types of analyses the tool can support. The case study explores the tradeoffs between road rehabilitation costs and sediment export avoided. We couple the sediment and cost models with trade-off analysis to identify optimal distributed solutions that are most cost-effective in reducing erosion, and then use those models to estimate sediment exposure to coral reefs. We find that cooperation between land owners reveals opportunities for maximizing the benefits of fixing roads and minimizes costs. This research forms the building blocks of an ecosystem service decision support tool that we intend to continue to test and apply in other Pacific Island settings.

Studies on Interpretive Structural Model for Forest Ecosystem Management Decision-Making

NASA Astrophysics Data System (ADS)

Liu, Suqing; Gao, Xiumei; Zen, Qunying; Zhou, Yuanman; Huang, Yuequn; Han, Weidong; Li, Linfeng; Li, Jiping; Pu, Yingshan

Characterized by their openness, complexity and large scale, forest ecosystems interweave themselves with social system, economic system and other natural ecosystems, thus complicating both their researches and management decision-making. According to the theories of sustainable development, hierarchy-competence levels, cybernetics and feedback, 25 factors have been chosen from human society, economy and nature that affect forest ecosystem management so that they are systematically analyzed via developing an interpretive structural model (ISM) to reveal their relationships and positions in the forest ecosystem management. The ISM consists of 7 layers with the 3 objectives for ecosystem management being the top layer (the seventh layer). The ratio between agricultural production value and industrial production value as the bases of management decision-making in forest ecosystems becomes the first layer at the bottom because it has great impacts on the values of society and the development trends of forestry, while the factors of climatic environments, intensive management extent, management measures, input-output ratio as well as landscape and productivity are arranged from the second to sixth layers respectively.

Improving Water Management Decision Support Tools Using NASA Satellite and Modeling Data

NASA Astrophysics Data System (ADS)

Toll, D. L.; Arsenault, K.; Nigro, J.; Pinheiro, A.; Engman, E. T.; Triggs, J.; Cosgrove, B.; Alonge, C.; Boyle, D.; Allen, R.; Townsend, P.; Ni-Meister, W.

2006-05-01

One of twelve Applications of National priority within NASA's Applied Science Program, the Water Management Program Element addresses concerns and decision making related to water availability, water forecast and water quality. The goal of the Water Management Program Element is to encourage water management organizations to use NASA Earth science data, models products, technology and other capabilities in their decision support tools for problem solving. The Water Management Program Element partners with Federal agencies, academia, private firms, and may include international organizations. This paper further describes the Water Management Program with the objective of informing the applications community of the potential opportunities for using NASA science products for problem solving. We will illustrate some ongoing and application Water Management projects evaluating and benchmarking NASA data with partnering federal agencies and their decision support tools: 1) Environmental Protection Agency for water quality; 2) Bureau of Reclamation for water supply, demand and forecast; and 3) NOAA National Weather Service for improved weather prediction. Examples of the types of NASA contributions to the these agency decision support tools include: 1) satellite observations within models assist to estimate water storage, i.e., snow water equivalent, soil moisture, aquifer volumes, or reservoir storages; 2) model derived products, i.e., evapotranspiration, precipitation, runoff, ground water recharge, and other 4-dimensional data assimilation products; 3) improve water quality, assessments by using improved inputs from NASA models (precipitation, evaporation) and satellite observations (e.g., temperature, turbidity, land cover) to nonpoint source models; and 4) water (i.e., precipitation) and temperature predictions from days to decades over local, regional and global scales.

Contingency Management and Deliberative Decision-Making Processes

PubMed Central

Regier, Paul S.; Redish, A. David

2015-01-01

Contingency management is an effective treatment for drug addiction. The current explanation for its success is rooted in alternative reinforcement theory. We suggest that alternative reinforcement theory is inadequate to explain the success of contingency management and produce a model based on demand curves that show how little the monetary rewards offered in this treatment would affect drug use. Instead, we offer an explanation of its success based on the concept that it accesses deliberative decision-making processes. We suggest that contingency management is effective because it offers a concrete and immediate alternative to using drugs, which engages deliberative processes, improves the ability of those deliberative processes to attend to non-drug options, and offsets more automatic action-selection systems. This theory makes explicit predictions that can be tested, suggests which users will be most helped by contingency management, and suggests improvements in its implementation. PMID:26082725

Contingency Management and Deliberative Decision-Making Processes.

PubMed

Regier, Paul S; Redish, A David

2015-01-01

Contingency management is an effective treatment for drug addiction. The current explanation for its success is rooted in alternative reinforcement theory. We suggest that alternative reinforcement theory is inadequate to explain the success of contingency management and produce a model based on demand curves that show how little the monetary rewards offered in this treatment would affect drug use. Instead, we offer an explanation of its success based on the concept that it accesses deliberative decision-making processes. We suggest that contingency management is effective because it offers a concrete and immediate alternative to using drugs, which engages deliberative processes, improves the ability of those deliberative processes to attend to non-drug options, and offsets more automatic action-selection systems. This theory makes explicit predictions that can be tested, suggests which users will be most helped by contingency management, and suggests improvements in its implementation.

The use of multi-criteria decision analysis to tackle waste management problems: a literature review.

PubMed

Achillas, Charisios; Moussiopoulos, Nicolas; Karagiannidis, Avraam; Banias, Georgias; Perkoulidis, George

2013-02-01

Problems in waste management have become more and more complex during recent decades. The increasing volumes of waste produced and social environmental consciousness present prominent drivers for environmental managers towards the achievement of a sustainable waste management scheme. However, in practice, there are many factors and influences - often mutually conflicting - criteria for finding solutions in real-life applications. This paper presents a review of the literature on multi-criteria decision aiding in waste management problems for all reported waste streams. Despite limitations, which are clearly stated, most of the work published in this field is reviewed. The present review aims to provide environmental managers and decision-makers with a thorough list of practical applications of the multi-criteria decision analysis techniques that are used to solve real-life waste management problems, as well as the criteria that are mostly employed in such applications according to the nature of the problem under study. Moreover, the paper explores the advantages and disadvantages of using multi-criteria decision analysis techniques in waste management problems in comparison to other available alternatives.

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...

Decision support systems for ecosystem management: An evaluation of existing systems

Treesearch

H. Todd Mowrer; Klaus Barber; Joe Campbell; Nick Crookston; Cathy Dahms; John Day; Jim Laacke; Jim Merzenich; Steve Mighton; Mike Rauscher; Rick Sojda; Joyce Thompson; Peter Trenchi; Mark Twery

1997-01-01

This report evaluated 24 computer-aided decision support systems (DSS) that can support management decision-making in forest ecosystems. It compares the scope of each system, spatial capabilities, computational methods, development status, input and output requirements, user support availability, and system performance. Questionnaire responses from the DSS developers (...

Promoting Shared Decision Making in Disorders of Sex Development (DSD): Decision Aids and Support Tools.

PubMed

Siminoff, L A; Sandberg, D E

2015-05-01

Specific complaints and grievances from adult patients with disorders of sex development (DSD), and their advocates center around the lack of information or misinformation they were given about their condition and feeling stigmatized and shamed by the secrecy surrounding their condition and its management. Many also attribute poor sexual function to damaging genital surgery and/or repeated, insensitive genital examinations. These reports suggest the need to reconsider the decision-making process for the treatment of children born with DSD. This paper proposes that shared decision making, an important concept in adult health care, be operationalized for the major decisions commonly encountered in DSD care and facilitated through the utilization of decision aids and support tools. This approach may help patients and their families make informed decisions that are better aligned with their personal values and goals. It may also lead to greater confidence in decision making with greater satisfaction and less regret. A brief review of the past and current approach to DSD decision making is provided, along with a review of shared decision making and decision aids and support tools. A case study explores the need and potential utility of this suggested new approach. © Georg Thieme Verlag KG Stuttgart · New York.

Analytical group decision making in natural resources: Methodology and application

USGS Publications Warehouse

Schmoldt, D.L.; Peterson, D.L.

2000-01-01

Group decision making is becoming increasingly important in natural resource management and associated scientific applications, because multiple values are treated coincidentally in time and space, multiple resource specialists are needed, and multiple stakeholders must be included in the decision process. Decades of social science research on decision making in groups have provided insights into the impediments to effective group processes and on techniques that can be applied in a group context. Nevertheless, little integration and few applications of these results have occurred in resource management decision processes, where formal groups are integral, either directly or indirectly. A group decision-making methodology is introduced as an effective approach for temporary, formal groups (e.g., workshops). It combines the following three components: (1) brainstorming to generate ideas; (2) the analytic hierarchy process to produce judgments, manage conflict, enable consensus, and plan for implementation; and (3) a discussion template (straw document). Resulting numerical assessments of alternative decision priorities can be analyzed statistically to indicate where group member agreement occurs and where priority values are significantly different. An application of this group process to fire research program development in a workshop setting indicates that the process helps focus group deliberations; mitigates groupthink, nondecision, and social loafing pitfalls; encourages individual interaction; identifies irrational judgments; and provides a large amount of useful quantitative information about group preferences. This approach can help facilitate scientific assessments and other decision-making processes in resource management.

Information and knowledge management for sustainable forestry

Treesearch

Alan J. Thomson; Michael Rauscher; Daniel L. Schmoldt; Harald Vacik

2007-01-01

Institutional information and knowledge management often involves a range of systems and technologies to aid decisions and produce reports. Construction of a knowledge system organizing hierarchy facilitates exploration of the interrelationships among knowledge management, inventory and monitoring, statistics and modeling, and policy. Two case studies illustrate these...

Using Cognitive Work Analysis to fit decision support tools to nurse managers' work flow.

PubMed

Effken, Judith A; Brewer, Barbara B; Logue, Melanie D; Gephart, Sheila M; Verran, Joyce A

2011-10-01

To better understand the environmental constraints on nurse managers that impact their need for and use of decision support tools, we conducted a Cognitive Work Analysis (CWA). A complete CWA includes system analyses at five levels: work domain, decision-making procedures, decision-making strategies, social organization/collaboration, and worker skill level. Here we describe the results of the Work Domain Analysis (WDA) portion in detail then integrate the WDA with other portions of the CWA, reported previously, to generate a more complete picture of the nurse manager's work domain. Data for the WDA were obtained from semi-structured interviews with nurse managers, division directors, CNOs, and other managers (n = 20) on 10 patient care units in three Arizona hospitals. The WDA described the nurse manager's environment in terms of the constraints it imposes on the nurse manager's ability to achieve targeted outcomes through organizational goals and priorities, functions, processes, as well as work objects and resources (e.g., people, equipment, technology, and data). Constraints were identified and summarized through qualitative thematic analysis. The results highlight the competing priorities, and external and internal constraints that today's nurse managers must satisfy as they try to improve quality and safety outcomes on their units. Nurse managers receive a great deal of data, much in electronic format. Although dashboards were perceived as helpful because they integrated some data elements, no decision support tools were available to help nurse managers with planning or answering "what if" questions. The results suggest both the need for additional decision support to manage the growing complexity of the environment, and the constraints the environment places on the design of that technology if it is to be effective. Limitations of the study include the small homogeneous sample and the reliance on interview data targeting safety and quality. Copyright © 2011

Conceptual framework of knowledge management for ethical decision-making support in neonatal intensive care.

PubMed

Frize, Monique; Yang, Lan; Walker, Robin C; O'Connor, Annette M

2005-06-01

This research is built on the belief that artificial intelligence estimations need to be integrated into clinical social context to create value for health-care decisions. In sophisticated neonatal intensive care units (NICUs), decisions to continue or discontinue aggressive treatment are an integral part of clinical practice. High-quality evidence supports clinical decision-making, and a decision-aid tool based on specific outcome information for individual NICU patients will provide significant support for parents and caregivers in making difficult "ethical" treatment decisions. In our approach, information on a newborn patient's likely outcomes is integrated with the physician's interpretation and parents' perspectives into codified knowledge. Context-sensitive content adaptation delivers personalized and customized information to a variety of users, from physicians to parents. The system provides structuralized knowledge translation and exchange between all participants in the decision, facilitating collaborative decision-making that involves parents at every stage on whether to initiate, continue, limit, or terminate intensive care for their infant.

Integration of professional judgement and decision-making in high-level adventure sports coaching practice.

PubMed

Collins, Loel; Collins, Dave

2015-01-01

This study examined the integration of professional judgement and decision-making processes in adventure sports coaching. The study utilised a thematic analysis approach to investigate the decision-making practices of a sample of high-level adventure sports coaches over a series of sessions. Results revealed that, in order to make judgements and decisions in practice, expert coaches employ a range of practical and pedagogic management strategies to create and opportunistically use time for decision-making. These approaches include span of control and time management strategies to facilitate the decision-making process regarding risk management, venue selection, aims, objectives, session content, and differentiation of the coaching process. The implication for coaches, coach education, and accreditation is the recognition and training of the approaches that "create time" for the judgements in practice, namely "creating space to think". The paper concludes by offering a template for a more expertise-focused progression in adventure sports coaching.

Multi-criteria decision making to support waste management: A critical review of current practices and methods.

PubMed

Goulart Coelho, Lineker M; Lange, Liséte C; Coelho, Hosmanny Mg

2017-01-01

Solid waste management is a complex domain involving the interaction of several dimensions; thus, its analysis and control impose continuous challenges for decision makers. In this context, multi-criteria decision-making models have become important and convenient supporting tools for solid waste management because they can handle problems involving multiple dimensions and conflicting criteria. However, the selection of the multi-criteria decision-making method is a hard task since there are several multi-criteria decision-making approaches, each one with a large number of variants whose applicability depends on information availability and the aim of the study. Therefore, to support researchers and decision makers, the objectives of this article are to present a literature review of multi-criteria decision-making applications used in solid waste management, offer a critical assessment of the current practices, and provide suggestions for future works. A brief review of fundamental concepts on this topic is first provided, followed by the analysis of 260 articles related to the application of multi-criteria decision making in solid waste management. These studies were investigated in terms of the methodology, including specific steps such as normalisation, weighting, and sensitivity analysis. In addition, information related to waste type, the study objective, and aspects considered was recorded. From the articles analysed it is noted that studies using multi-criteria decision making in solid waste management are predominantly addressed to problems related to municipal solid waste involving facility location or management strategy.

Facilitating job retention for chronically ill employees: perspectives of line managers and human resource managers

PubMed Central

2011-01-01

Background Chronic diseases are a leading contributor to work disability and job loss in Europe. Recent EU policies aim to improve job retention among chronically ill employees. Disability and occupational health researchers argue that this requires a coordinated and pro-active approach at the workplace by occupational health professionals, line managers (LMs) and human resource managers (HRM). Little is known about the perspectives of LMs an HRM on what is needed to facilitate job retention among chronically ill employees. The aim of this qualitative study was to explore and compare the perspectives of Dutch LMs and HRM on this issue. Methods Concept mapping methodology was used to elicit and map statements (ideas) from 10 LMs and 17 HRM about what is needed to ensure continued employment for chronically ill employees. Study participants were recruited through a higher education and an occupational health services organization. Results Participants generated 35 statements. Each group (LMs and HRM) sorted these statements into six thematic clusters. LMs and HRM identified four similar clusters: LMs and HRM must be knowledgeable about the impact of chronic disease on the employee; employees must accept responsibility for work retention; work adaptations must be implemented; and clear company policy. Thematic clusters identified only by LMs were: good manager/employee cooperation and knowledge transfer within the company. Unique clusters identified by HRM were: company culture and organizational support. Conclusions There were both similarities and differences between the views of LMs and HRM on what may facilitate job retention for chronically ill employees. LMs perceived manager/employee cooperation as the most important mechanism for enabling continued employment for these employees. HRM perceived organizational policy and culture as the most important mechanism. The findings provide information about topics that occupational health researchers and planners should

Facilitating job retention for chronically ill employees: perspectives of line managers and human resource managers.

PubMed

Haafkens, Joke A; Kopnina, Helen; Meerman, Martha G M; van Dijk, Frank J H

2011-05-17

Chronic diseases are a leading contributor to work disability and job loss in Europe. Recent EU policies aim to improve job retention among chronically ill employees. Disability and occupational health researchers argue that this requires a coordinated and pro-active approach at the workplace by occupational health professionals, line managers (LMs) and human resource managers (HRM). Little is known about the perspectives of LMs an HRM on what is needed to facilitate job retention among chronically ill employees. The aim of this qualitative study was to explore and compare the perspectives of Dutch LMs and HRM on this issue. Concept mapping methodology was used to elicit and map statements (ideas) from 10 LMs and 17 HRM about what is needed to ensure continued employment for chronically ill employees. Study participants were recruited through a higher education and an occupational health services organization. Participants generated 35 statements. Each group (LMs and HRM) sorted these statements into six thematic clusters. LMs and HRM identified four similar clusters: LMs and HRM must be knowledgeable about the impact of chronic disease on the employee; employees must accept responsibility for work retention; work adaptations must be implemented; and clear company policy. Thematic clusters identified only by LMs were: good manager/employee cooperation and knowledge transfer within the company. Unique clusters identified by HRM were: company culture and organizational support. There were both similarities and differences between the views of LMs and HRM on what may facilitate job retention for chronically ill employees. LMs perceived manager/employee cooperation as the most important mechanism for enabling continued employment for these employees. HRM perceived organizational policy and culture as the most important mechanism. The findings provide information about topics that occupational health researchers and planners should address in developing job retention

Linking Effective Project Management to Business Strategy in Oil and Gas Industry through Decision-making Processes

NASA Astrophysics Data System (ADS)

Adeleke, Adeyinka

The construction project in the oil and gas industry covers the entire spectrum of hydrocarbon production from the wellhead (upstream) to downstream facilities. In each of these establishments, the activities in a construction project include: consulting, studies, front-end engineering, detail engineering, procurement, program management, construction, installation, commissioning and start-up. Efficient management of each of the activities involved in construction projects is one of the driving forces for the successful completion of the project. Optimizing the crucial factors in project management during each phase of a project in an oil and gas industry can assist managers to maximize the use of available resources and drive the project to successful conclusions. One of these factors is the decision-making process in the construction project. Current research effort investigated the relationship between decision-making processes and business strategy in oil and gas industry using employee surveys. I recruited employees of different races, age group, genders, and years of experience in order understand their influence on the implementation of the decision-making process in oil and gas industry through a quantitative survey. Decision-making was assessed using five decision measures: (a) rational, (b) intuitive, (c) dependent, (d) avoidant, and (e) spontaneous. The findings indicated gender, age, years of work experience and job titles as primary variables with a negative relationship with decision-making approach for employees working in a major oil and gas industry. The study results revealed that the two most likely decision-making methods in oil and gas industry include: making a decision in a logical and systematic way and seek assistance from others when making a decision. Additionally, the two leading management approaches to decision-making in the oil and gas industry include: decision analysis is part of organization culture and management is committed to

The relationship between patient data and pooled clinical management decisions.

PubMed

Ludbrook, G I; O'Loughlin, E J; Corcoran, T B; Grant, C

2013-01-01

A strong relationship between patient data and preoperative clinical decisions could potentially be used to support clinical decisions in preoperative management. The aim of this exploratory study was to determine the relationship between key patient data and pooled clinical opinions on management. In a previous study, panels of anaesthetists compared the quality of computer-assisted patient health assessments with outpatient consultations and made decisions on the need for preoperative tests, no preoperative outpatient assessment, possible postoperative intensive care unit/high dependency unit requirements and aspiration prophylaxis. In the current study, the relationship between patient data and these decisions was examined using binomial logistic regression analysis. Backward stepwise regression was used to identify independent predictors of each decision (at P >0.15), which were then incorporated into a predictive model. The number of factors related to each decision varied: blood picture (four factors), biochemistry (six factors), coagulation studies (three factors), electrocardiography (eight factors), chest X-ray (seven factors), preoperative outpatient assessment (17 factors), intensive care unit requirement (eight factors) and aspiration prophylaxis (one factor). The factor types also varied, but included surgical complexity, age, gender, number of medications or comorbidities, body mass index, hypertension, central nervous system condition, heart disease, sleep apnoea, smoking, persistent pain and stroke. Models based on these relationships usually demonstrated good sensitivity and specificity, with receiver operating characteristics in the following areas under curve: blood picture (0.75), biochemistry (0.86), coagulation studies (0.71), electrocardiography (0.90), chest X-ray (0.85), outpatient assessment (0.85), postoperative intensive care unit requirement (0.88) and aspiration prophylaxis (0.85). These initial results suggest modelling of patient

Reciprocal Benefits, Legacy and Risk: Applying Ellinger and Bostrom's Model of Line Manager Role Identity as Facilitators of Learning

ERIC Educational Resources Information Center

Campbell, Paul; Evans, Peter

2016-01-01

Purpose: The purpose of this paper is to explore the beliefs held by managers about their roles as facilitators of learning with their employees in a public utilities organisation. Design/methodology/approach: The research was based on Ellinger and Bostrom's (2002) study on managers' beliefs on their role as facilitators of learning in…

The path dependence of district manager decision-space in Ghana

PubMed Central

Kwamie, Aku; van Dijk, Han; Ansah, Evelyn K; Agyepong, Irene Akua

2016-01-01

The district health system in Ghana today is characterized by high resource-uncertainty and narrow decision-space. This article builds a theory-driven historical case study to describe the influence of path-dependent administrative, fiscal and political decentralization processes on development of the district health system and district manager decision-space. Methods included a non-exhaustive literature review of democratic governance in Ghana, and key informant interviews with high-level health system officials integral to the development of the district health system. Through our analysis we identified four periods of district health system progression: (1) development of the district health system (1970–85); (2) Strengthening District Health Systems Initiative (1986–93); (3) health sector reform planning and creation of the Ghana Health Service (1994–96) and (4) health sector reform implementation (1997–2007). It was observed that district manager decision-space steadily widened during periods (1) and (2), due to increases in managerial profile, and concerted efforts at managerial capacity strengthening. Periods (3) and (4) saw initial augmentation of district health system financing, further widening managerial decision-space. However, the latter half of period 4 witnessed district manager decision-space contraction. Formalization of Ghana Health Service structures influenced by self-reinforcing tendencies towards centralized decision-making, national and donor shifts in health sector financing, and changes in key policy actors all worked to the detriment of the district health system, reversing early gains from bottom-up development of the district health system. Policy feedback mechanisms have been influenced by historical and contemporary sequencing of local government and health sector decentralization. An initial act of administrative decentralization, followed by incomplete political and fiscal decentralization has ensured that the balance of

The path dependence of district manager decision-space in Ghana.

PubMed

Kwamie, Aku; van Dijk, Han; Ansah, Evelyn K; Agyepong, Irene Akua

2016-04-01

The district health system in Ghana today is characterized by high resource-uncertainty and narrow decision-space. This article builds a theory-driven historical case study to describe the influence of path-dependent administrative, fiscal and political decentralization processes on development of the district health system and district manager decision-space. Methods included a non-exhaustive literature review of democratic governance in Ghana, and key informant interviews with high-level health system officials integral to the development of the district health system. Through our analysis we identified four periods of district health system progression: (1) development of the district health system (1970-85); (2) Strengthening District Health Systems Initiative (1986-93); (3) health sector reform planning and creation of the Ghana Health Service (1994-96) and (4) health sector reform implementation (1997-2007). It was observed that district manager decision-space steadily widened during periods (1) and (2), due to increases in managerial profile, and concerted efforts at managerial capacity strengthening. Periods (3) and (4) saw initial augmentation of district health system financing, further widening managerial decision-space. However, the latter half of period 4 witnessed district manager decision-space contraction. Formalization of Ghana Health Service structures influenced by self-reinforcing tendencies towards centralized decision-making, national and donor shifts in health sector financing, and changes in key policy actors all worked to the detriment of the district health system, reversing early gains from bottom-up development of the district health system. Policy feedback mechanisms have been influenced by historical and contemporary sequencing of local government and health sector decentralization. An initial act of administrative decentralization, followed by incomplete political and fiscal decentralization has ensured that the balance of power has

Application of a web-based Decision Support System in risk management

NASA Astrophysics Data System (ADS)

Aye, Zar Chi; Jaboyedoff, Michel; Derron, Marc-Henri

2013-04-01

Increasingly, risk information is widely available with the help of advanced technologies such as earth observation satellites, global positioning technologies, coupled with hazard modeling and analysis, and geographical information systems (GIS). Even though it exists, no effort will be put into action if it is not properly presented to the decision makers. These information need to be communicated clearly and show its usefulness so that people can make better informed decision. Therefore, communicating available risk information has become an important challenge and decision support systems have been one of the significant approaches which can help not only in presenting risk information to the decision makers but also in making efficient decisions while reducing human resources and time needed. In this study, the conceptual framework of an internet-based decision support system is presented to highlight its importance role in risk management framework and how it can be applied in case study areas chosen. The main purpose of the proposed system is to facilitate the available risk information in risk reduction by taking into account of the changes in climate, land use and socio-economic along with the risk scenarios. It allows the users to formulate, compare and select risk reduction scenarios (mainly for floods and landslides) through an enhanced participatory platform with diverse stakeholders' involvement in the decision making process. It is based on the three-tier (client-server) architecture which integrates web-GIS plus DSS functionalities together with cost benefit analysis and other supporting tools. Embedding web-GIS provides its end users to make better planning and informed decisions referenced to a geographical location, which is the one of the essential factors in disaster risk reduction programs. Different risk reduction measures of a specific area (local scale) will be evaluated using this web-GIS tool, available risk scenarios obtained from

A multi-criteria decision analysis assessment of waste paper management options.

PubMed

Hanan, Deirdre; Burnley, Stephen; Cooke, David

2013-03-01

The use of Multi-criteria Decision Analysis (MCDA) was investigated in an exercise using a panel of local residents and stakeholders to assess the options for managing waste paper on the Isle of Wight. Seven recycling, recovery and disposal options were considered by the panel who evaluated each option against seven environmental, financial and social criteria. The panel preferred options where the waste was managed on the island with gasification and recycling achieving the highest scores. Exporting the waste to the English mainland for incineration or landfill proved to be the least preferred options. This research has demonstrated that MCDA is an effective way of involving community groups in waste management decision making. Copyright © 2012 Elsevier Ltd. All rights reserved.

Patient understanding of diabetes self-management: participatory decision-making in diabetes care.

PubMed

Quinn, Charlene C; Royak-Schaler, Renee; Lender, Dan; Steinle, Nanette; Gadalla, Shahinaz; Zhan, Min

2011-05-01

Our aim was to determine whether patient participation in decision-making about diabetes care is associated with understanding of diabetes self-management and subsequent self-care practices. We also identified issues that would impact messaging for use in mobile diabetes communication. A cross-sectional observational study was conducted with type 2 diabetes patients (n = 81) receiving their care at the University of Maryland Joslin Diabetes Center. A convenience sample of patients were eligible to participate if they were aged 25-85 years, had type 2 diabetes, spoke English, and visited their physician diabetes manager within the past 6 months. In-person patient interviews were conducted at the time of clinic visits to assess patient understanding of diabetes management, self-care practices, and perceptions of participation in decision-making about diabetes care. African Americans reported fewer opportunities to participate in decision-making than Caucasians, after controlling for education [mean difference (MD) = -2.4, p = .02]. This association became insignificant after controlling for patient-physician race concordance (MD = -1.5, p = .21). Patient understanding of self-care was predicted by having greater than high school education (MD = 3.6, p = .001) and having physicians who involved them in decision-making about their care. For each unit increase in understanding of diabetes self-care, the mean patient self-care practice score increased by 0.16 (p = .003), after adjustment for patient race and education. Patient participation in decision-making is associated with better understanding of care. Participation in decision-making plays a key role in patient understanding of diabetes self-management and subsequent self-care practices. Patients with limited education need specific instruction in foot care, food choices, and monitoring hemoglobin A1c. © 2011 Diabetes Technology Society.

Physician decision-making in the management of work related upper extremity injuries.

PubMed

Szekeres, Mike; Macdermid, Joy C; Katchky, Adam; Grewal, Ruby

2018-05-22

Physicians working in a tertiary care injured worker clinic are faced with clinical decision-making that must balance the needs of patients and society in managing complex clinical problems that are complicated by the work-workplace context. The purpose of this study is to describe and characterize the decision-making process of upper extremity specialized surgeons when managing injured workers within a specialized worker's compensation clinic. Surgeons were interviewed in a semi-structured manner. Following each interview, the surgeon was also observed in a clinic visit during a new patient assessment, allowing observation of the interactional patterns between surgeon and patient, and comparison of the process described in the interview to what actually occurred during clinic visits. The primary central theme emerging from the surgeon interviews and the clinical observation was the focus on the importance of comprehensive assessment to make the first critical decision: an accurate diagnosis. Two subthemes were also found. The first of these involved the decision whether to proceed to management strategies or to continue with further investigation if the correct diagnosis is uncertain. Once the central theme of diagnosis was achieved, a second subtheme was highlighted; selecting appropriate management options, given the complexities of managing the injured worker, the workplace, and the compensation board. This study illustrates that upper extremity surgeons rely on their training and experience with upper extremity conditions to follow a sequential but iterative decision-making process to provide a more definitive diagnosis and treatment plan for workers with injuries that are often complex. The surgeons are challenged by the context which takes them out of their familiar zone of typical clinical practice to deal with the interactions between the injury, worker, work, workplace and insurer.

An exploration of tutors' experiences of facilitating problem-based learning. Part 2--implications for the facilitation of problem based learning.

PubMed

Haith-Cooper, Melanie

2003-01-01

This paper is the second of two parts exploring a study that was undertaken to investigate the role of the tutor in facilitating problem-based learning (PBL). The first part focussed on the methodological underpinnings of the study. This paper aims to focus on the findings of the study and their implications for the facilitation of PBL. Six essential themes emerged from the findings that described the facilitation role. The tutors believed that their facilitation role was essentially structured around the decision of when to intervene and how to intervene in the PBL process. Modelling and non-verbal communication were seen as essential strategies for the facilitator. Underpinning these decisions was the need to trust in the philosophy of PBL. However, within many of the themes, there was a divergence of opinion as to how the role should actually be undertaken. Despite this, these findings have implications for the future role of PBL facilitators in Health Professional Education.

Optical Coherence Tomography-Guided Decisions in Retinoblastoma Management.

PubMed

Soliman, Sameh E; VandenHoven, Cynthia; MacKeen, Leslie D; Héon, Elise; Gallie, Brenda L

2017-06-01

Assess the role of handheld optical coherence tomography (OCT) in guiding management decisions during diagnosis, treatment, and follow-up of eyes affected by retinoblastoma. Retrospective, noncomparative, single-institution case series. All children newly diagnosed with retinoblastoma from January 2011 to December 2015 who had an OCT session during their active treatment at The Hospital for Sick Children (SickKids) in Toronto, Canada. The OCT sessions for fellow eyes of unilateral retinoblastoma without any suspicious lesion and those performed more than 6 months after the last treatment were excluded. Data collected included age at presentation, sex, family history, RB1 mutation status, 8th edition TNMH cancer staging and International Intraocular Retinoblastoma Classification (IIRC), and number of OCT sessions per eye. Details of each session were scored for indication-related details (informative or not) and assessed for guidance (directive or not), diagnosis (staging changed, new tumors found or excluded), treatment (modified, stopped, or modality shifted), or follow-up modified. Frequency of OCT-guided management decisions, stratified by indication and type of guidance (confirmatory vs. influential). Sixty-three eyes of 44 children had 339 OCT sessions over the course of clinical management (median number of OCT scans per eye, 5; range, 1-15). The age at presentation and presence of a heritable RB1 mutation significantly correlated with an increased number of OCT sessions. Indications included evaluation of post-treatment scar (55%) or fovea (16%), and posterior pole scanning for new tumors (11%). Of all sessions, 92% (312/339) were informative; 19 of 27 noninformative sessions had large, elevated lesions; of these, 14 of 19 were T2a or T2b (IIRC group C or D) eyes. In 94% (293/312) of the informative sessions, OCT directed treatment decisions (58%), diagnosis (16%), and follow-up (26%). Optical coherence tomography influenced and changed management from pre

Family Perceptions of Facilitators and Inhibitors of Effective School-Based Dysphagia Management

ERIC Educational Resources Information Center

Angell, Maureen E.; Bailey, Rita L.; Stoner, Julia B.

2008-01-01

Purpose: This qualitative study focused on the perceptions of family members of children with dysphagia by asking what the family-identified factors are that facilitate or inhibit effective school-based management of pediatric dysphagia. Method: Semistructured interviews of 7 family members of 6 children with dysphagia, ages 2 through 11 years,…

Decisions, Decisions....

ERIC Educational Resources Information Center

White, Owen Roberts

1985-01-01

The author reviews systems providing objective guidelines to facilitate ongoing, daily instructional decisions, focusing on those which utilize the sensitive datum and uniform charting procedures of precision teaching. Potential users are warned that the special education teacher must remain a critical and vigilant analyst of the learning process.…

Multicriteria Decision Framework for Cybersecurity Risk Assessment and Management.

PubMed

Ganin, Alexander A; Quach, Phuoc; Panwar, Mahesh; Collier, Zachary A; Keisler, Jeffrey M; Marchese, Dayton; Linkov, Igor

2017-09-05

Risk assessors and managers face many difficult challenges related to novel cyber systems. Among these challenges are the constantly changing nature of cyber systems caused by technical advances, their distribution across the physical, information, and sociocognitive domains, and the complex network structures often including thousands of nodes. Here, we review probabilistic and risk-based decision-making techniques applied to cyber systems and conclude that existing approaches typically do not address all components of the risk assessment triplet (threat, vulnerability, consequence) and lack the ability to integrate across multiple domains of cyber systems to provide guidance for enhancing cybersecurity. We present a decision-analysis-based approach that quantifies threat, vulnerability, and consequences through a set of criteria designed to assess the overall utility of cybersecurity management alternatives. The proposed framework bridges the gap between risk assessment and risk management, allowing an analyst to ensure a structured and transparent process of selecting risk management alternatives. The use of this technique is illustrated for a hypothetical, but realistic, case study exemplifying the process of evaluating and ranking five cybersecurity enhancement strategies. The approach presented does not necessarily eliminate biases and subjectivity necessary for selecting countermeasures, but provides justifiable methods for selecting risk management actions consistent with stakeholder and decisionmaker values and technical data. Published 2017. This article is a U.S. Government work and is in the public domain in the U.S.A.

GIS-based spatial decision support system for grain logistics management

NASA Astrophysics Data System (ADS)

Zhen, Tong; Ge, Hongyi; Jiang, Yuying; Che, Yi

2010-07-01

Grain logistics is the important component of the social logistics, which can be attributed to frequent circulation and the great quantity. At present time, there is no modern grain logistics distribution management system, and the logistics cost is the high. Geographic Information Systems (GIS) have been widely used for spatial data manipulation and model operations and provide effective decision support through its spatial database management capabilities and cartographic visualization. In the present paper, a spatial decision support system (SDSS) is proposed to support policy makers and to reduce the cost of grain logistics. The system is composed of two major components: grain logistics goods tracking model and vehicle routing problem optimization model and also allows incorporation of data coming from external sources. The proposed system is an effective tool to manage grain logistics in order to increase the speed of grain logistics and reduce the grain circulation cost.

Decision-making, sensitivity to reward, and attrition in weight-management

PubMed Central

Koritzky, Gilly; Dieterle, Camille; Rice, Chantelle; Jordan, Katie; Bechara, Antoine

2014-01-01

Objective Attrition is a common problem in weight-management. Understanding the risk factors for attrition should enhance professionals’ ability to increase completion rates and improve health outcomes for more individuals. We propose a model that draws upon neuropsychological knowledge on reward-sensitivity in obesity and overeating to predict attrition. Design & Methods 52 participants in a weight-management program completed a complex decision-making task.Decision-making characteristics – including sensitivity to reward – were further estimated using a quantitative model. Impulsivity and risk-taking measures were also administered. Results Consistent with the hypothesis that sensitivity to reward predicted attrition, program dropouts had higher sensitivity to reward than completers (p < 0.03). No differences were observed between completers and dropouts in initial BMI, age, employment status, or the number of prior weight-loss attempts (p ≥ 0.07). Completers had a slightly higher education level than dropouts, but its inclusion in the model did not increase predictive power. Impulsivity, delay of gratification, and risk-taking did not predict attrition, either. Conclusions Findings link attrition in weight-management to the neural mechanisms associated with reward-seeking and related influences on decision-making. Individual differences in the magnitude of response elicited by rewards may account for the relative difficulty experienced by dieters in adhering to treatment. PMID:24771588

Introduction to Decision Support Systems for Risk Based Management of Contaminated Sites

EPA Science Inventory

A book on Decision Support Systems for Risk-based Management of contaminated sites is appealing for two reasons. First, it addresses the problem of contaminated sites, which has worldwide importance. Second, it presents Decision Support Systems (DSSs), which are powerful comput...

Expanding the Reach of Participatory Risk Management: Testing an Online Decision-Aiding Framework for Informing Internally Consistent Choices.

PubMed

Bessette, Douglas L; Campbell-Arvai, Victoria; Arvai, Joseph

2016-05-01

This article presents research aimed at developing and testing an online, multistakeholder decision-aiding framework for informing multiattribute risk management choices associated with energy development and climate change. The framework was designed to provide necessary background information and facilitate internally consistent choices, or choices that are in line with users' prioritized objectives. In order to test different components of the decision-aiding framework, a six-part, 2 × 2 × 2 factorial experiment was conducted, yielding eight treatment scenarios. The three factors included: (1) whether or not users could construct their own alternatives; (2) the level of detail regarding the composition of alternatives users would evaluate; and (3) the way in which a final choice between users' own constructed (or highest-ranked) portfolio and an internally consistent portfolio was presented. Participants' self-reports revealed the framework was easy to use and providing an opportunity to develop one's own risk-management alternatives (Factor 1) led to the highest knowledge gains. Empirical measures showed the internal consistency of users' decisions across all treatments to be lower than expected and confirmed that providing information about alternatives' composition (Factor 2) resulted in the least internally consistent choices. At the same time, those users who did not develop their own alternatives and were not shown detailed information about the composition of alternatives believed their choices to be the most internally consistent. These results raise concerns about how the amount of information provided and the ability to construct alternatives may inversely affect users' real and perceived internal consistency. © 2015 Society for Risk Analysis.

Decision Support Systems for Research and Management in Advanced Life Support

NASA Technical Reports Server (NTRS)

Rodriquez, Luis F.

2004-01-01

Decision support systems have been implemented in many applications including strategic planning for battlefield scenarios, corporate decision making for business planning, production planning and control systems, and recommendation generators like those on Amazon.com(Registered TradeMark). Such tools are reviewed for developing a similar tool for NASA's ALS Program. DSS are considered concurrently with the development of the OPIS system, a database designed for chronicling of research and development in ALS. By utilizing the OPIS database, it is anticipated that decision support can be provided to increase the quality of decisions by ALS managers and researchers.

Knowledge Requirements and Management in Expert Decision Support Systems for (Military) Situation Assessment

DTIC Science & Technology

1983-08-01

constitutes a fundamental problem in many decision making processes. In business management we face this problem when determining the status of an...Tehiical Report 576 ( 1 ) 4 KNOWLEDGE REQUIREMENTS AND MANAGEMENT IN EXPERT DECISION SUPPORT SYSTEMS FOR (MILITARY) SITUATION ASSESSMENT MOOM sen...accomplished under contract for the Department of the Army The Israel Institute of Business Research Technical review by Robert H. Sasmor Joseph M

Patient factors that influence clinicians' decision making in self-management support: A clinical vignette study.

PubMed

Bos-Touwen, Irene D; Trappenburg, Jaap C A; van der Wulp, Ineke; Schuurmans, Marieke J; de Wit, Niek J

2017-01-01

Self-management support is an integral part of current chronic care guidelines. The success of self-management interventions varies between individual patients, suggesting a need for tailored self-management support. Understanding the role of patient factors in the current decision making of health professionals can support future tailoring of self-management interventions. The aim of this study is to identify the relative importance of patient factors in health professionals' decision making regarding self-management support. A factorial survey was presented to primary care physicians and nurses. The survey consisted of clinical vignettes (case descriptions), in which 11 patient factors were systematically varied. Each care provider received a set of 12 vignettes. For each vignette, they decided whether they would give this patient self-management support and whether they expected this support to be successful. The associations between respondent decisions and patient factors were explored using ordered logit regression. The survey was completed by 60 general practitioners and 80 nurses. Self-management support was unlikely to be provided in a third of the vignettes. The most important patient factor in the decision to provide self-management support as well as in the expectation that self-management support would be successful was motivation, followed by patient-provider relationship and illness perception. Other factors, such as depression or anxiety, education level, self-efficacy and social support, had a small impact on decisions. Disease, disease severity, knowledge of disease, and age were relatively unimportant factors. This is the first study to explore the relative importance of patient factors in decision making and the expectations regarding the provision of self-management support to chronic disease patients. By far, the most important factor considered was patient's motivation; unmotivated patients were less likely to receive self-management support

Development of a requirements management system for technical decision - making processes in the geological disposal project

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

Hiroyoshi Ueda; Katsuhiko Ishiguro; Kazumi Kitayama

2007-07-01

NUMO (Nuclear Waste Management Organization of Japan) has a responsibility for implementing geological disposal of vitrified HLW (High-Level radioactive Waste) in the Japanese nuclear waste management programme. Its staged siting procedure was initiated in 2002 by an open call for volunteer sites. Careful management strategy and methodology for the technical decision-making at every milestone are required to prepare for the volunteer site application and the site investigation stages after that. The formal Requirement Management System (RMS) is planned to support the computerized implementation of the specific management methodology, termed the NUMO Structured Approach (NSA). This planned RMS will help formore » comprehensive management of the decision-making processes in the geological disposal project, change management towards the anticipated project deviations, efficient project driving such as well programmed R and D etc. and structured record-keeping regarding the past decisions, which leads to soundness of the project in terms of the long-term continuity. The system should have handling/management functions for the database including the decisions/requirements in the project in consideration, their associated information and the structures composed of them in every decision-making process. The information relating to the premises, boundary conditions and time plan of the project should also be prepared in the system. Effective user interface and efficient operation on the in-house network are necessary. As a living system for the long-term formal use, flexibility to updating is indispensable. In advance of the formal system development, two-year activity to develop the preliminary RMS was already started. The purpose of this preliminary system is to template the decision/requirement structure, prototype the decision making management and thus show the feasibility of the innovative RMS. The paper describes the current status of the development, focusing on

Decision technology.

PubMed

Edwards, W; Fasolo, B

2001-01-01

This review is about decision technology-the rules and tools that help us make wiser decisions. First, we review the three rules that are at the heart of most traditional decision technology-multi-attribute utility, Bayes' theorem, and subjective expected utility maximization. Since the inception of decision research, these rules have prescribed how we should infer values and probabilities and how we should combine them to make better decisions. We suggest how to make best use of all three rules in a comprehensive 19-step model. The remainder of the review explores recently developed tools of decision technology. It examines the characteristics and problems of decision-facilitating sites on the World Wide Web. Such sites now provide anyone who can use a personal computer with access to very sophisticated decision-aiding tools structured mainly to facilitate consumer decision making. It seems likely that the Web will be the mode by means of which decision tools will be distributed to lay users. But methods for doing such apparently simple things as winnowing 3000 options down to a more reasonable number, like 10, contain traps for unwary decision technologists. The review briefly examines Bayes nets and influence diagrams-judgment and decision-making tools that are available as computer programs. It very briefly summarizes the state of the art of eliciting probabilities from experts. It concludes that decision tools will be as important in the 21st century as spreadsheets were in the 20th.

Government management of two media-facilitated crises involving dioxin contamination of food.

PubMed

Jacob, Casey J; Lok, Corie; Morley, Katija; Powell, Douglas A

2011-03-01

Incidents become crises through a constant and intense public scrutiny facilitated by the media. Two incidents involving dioxin contamination of food led to crises in Belgium and the Republic of Ireland in 1999 and 2008, respectively. Thought to cause cancer in humans, dioxins reached the food supply in both incidents through the contamination of fat used for animal feed. The food and agricultural industries connected to each incident relied on crisis management activities of federal governments to limit adverse public reaction. Analysis of the management of the two crises by their respective federal governments, and a subsequent review of crisis management literature, led to the development of an effective crisis management model. Such a model, appropriately employed, may insulate industries associated with a crisis against damaged reputations and financial loss.

Visualising Pareto-optimal trade-offs helps move beyond monetary-only criteria for water management decisions

NASA Astrophysics Data System (ADS)

Hurford, Anthony; Harou, Julien

2014-05-01

Water related eco-system services are important to the livelihoods of the poorest sectors of society in developing countries. Degradation or loss of these services can increase the vulnerability of people decreasing their capacity to support themselves. New approaches to help guide water resources management decisions are needed which account for the non-market value of ecosystem goods and services. In case studies from Brazil and Kenya we demonstrate the capability of many objective Pareto-optimal trade-off analysis to help decision makers balance economic and non-market benefits from the management of existing multi-reservoir systems. A multi-criteria search algorithm is coupled to a water resources management simulator of each basin to generate a set of Pareto-approximate trade-offs representing the best case management decisions. In both cases, volume dependent reservoir release rules are the management decisions being optimised. In the Kenyan case we further assess the impacts of proposed irrigation investments, and how the possibility of new investments impacts the system's trade-offs. During the multi-criteria search (optimisation), performance of different sets of management decisions (policies) is assessed against case-specific objective functions representing provision of water supply and irrigation, hydropower generation and maintenance of ecosystem services. Results are visualised as trade-off surfaces to help decision makers understand the impacts of different policies on a broad range of stakeholders and to assist in decision-making. These case studies show how the approach can reveal unexpected opportunities for win-win solutions, and quantify the trade-offs between investing to increase agricultural revenue and negative impacts on protected ecosystems which support rural livelihoods.

Translating Guidelines Into Practice: Interpreting the 2016 ACC Expert Consensus Decision Pathway on the Role of Non-Statin Therapies for LDL-Cholesterol Lowering in the Management of Atherosclerotic Cardiovascular Disease Risk.

PubMed

Waite, Laura H; Phan, Yvonne L; Spinler, Sarah A

2017-10-01

In 2016, the American College of Cardiology released a decision pathway, based on expert consensus, to guide use of non-statin agents in the management of atherosclerotic cardiovascular disease risk. The purpose of this article is to assist practitioners, health systems and managed care entities with interpreting this consensus statement in order to simplify implementation of the recommendations into patient care. Major themes from the consensus statement are briefly summarized and explained. Drug therapy recommendations are condensed into a single algorithm, while tables correlate each recommended regimen with the appropriate patient population from both a patient-level and systems-level perspective. Finally, a patient case with evidence-based decision support is explored. These tools allow practitioners to make appropriate patient-specific decisions about the use of non-statin pharmacotherapy and enable health systems and managed care entities to more readily identify guideline-appropriate use of these agents upon review of patient profiles or prescribing patterns. This article provides resources for healthcare providers that facilitate uptake of these recommendations into clinical practice.

E-Estuary: Developing a Decision-support System for Coastal Management in the Conterminous United States

EPA Science Inventory

Ready access to geographic information is needed to support management decisions for estuaries at local, state, regional, and national scales. The United States Environmental Protection Agency (US EPA) is developing e-Estuary, a decision-support system for coastal management. E...

A novel computer based expert decision making model for prostate cancer disease management.

PubMed

Richman, Martin B; Forman, Ernest H; Bayazit, Yildirim; Einstein, Douglas B; Resnick, Martin I; Stovsky, Mark D

2005-12-01

We propose a strategic, computer based, prostate cancer decision making model based on the analytic hierarchy process. We developed a model that improves physician-patient joint decision making and enhances the treatment selection process by making this critical decision rational and evidence based. Two groups (patient and physician-expert) completed a clinical study comparing an initial disease management choice with the highest ranked option generated by the computer model. Participants made pairwise comparisons to derive priorities for the objectives and subobjectives related to the disease management decision. The weighted comparisons were then applied to treatment options to yield prioritized rank lists that reflect the likelihood that a given alternative will achieve the participant treatment goal. Aggregate data were evaluated by inconsistency ratio analysis and sensitivity analysis, which assessed the influence of individual objectives and subobjectives on the final rank list of treatment options. Inconsistency ratios less than 0.05 were reliably generated, indicating that judgments made within the model were mathematically rational. The aggregate prioritized list of treatment options was tabulated for the patient and physician groups with similar outcomes for the 2 groups. Analysis of the major defining objectives in the treatment selection decision demonstrated the same rank order for the patient and physician groups with cure, survival and quality of life being more important than controlling cancer, preventing major complications of treatment, preventing blood transfusion complications and limiting treatment cost. Analysis of subobjectives, including quality of life and sexual dysfunction, produced similar priority rankings for the patient and physician groups. Concordance between initial treatment choice and the highest weighted model option differed between the groups with the patient group having 59% concordance and the physician group having only 42

Factors that influence producer decisions to implement management strategies.

PubMed

Field, Thomas G

2014-12-01

Cow-calf enterprises in the USA are widely divergent in size, locale, resource availability, management skill, and market focus. Furthermore, variation exists in dependence on the cow-calf enterprise as a primary source of income, perception about the utility of a particular management practice or technology, and assessment of cost: benefit resulting from implementation impact decisions. Enterprises with larger cow inventories, greater dependence on income from the cattle enterprise, and that retain ownership further into the supply chain beyond the cow-calf operation are more likely to institute management protocols such as vaccination programs, defined calving seasons, and reproductive technologies. Successful cow-calf managers place the highest priority on herd nutrition, pasture and range management, herd health, financial management marketing, production management, and genetics. Management practices are more likely to be adopted when they align with a manager's perception of the utility, labor availability, favorable cost: benefit outcomes and profit motivation.

Facilitating Stroke Management using Modern Information Technology.

PubMed

Nam, Hyo Suk; Park, Eunjeong; Heo, Ji Hoe

2013-09-01

Information technology and mobile devices may be beneficial and useful in many aspects of stroke management, including recognition of stroke, transport and triage of patients, emergent stroke evaluation at the hospital, and rehabilitation. In this review, we address the contributions of information technology and mobile health to stroke management. Rapid detection and triage are essential for effective thrombolytic treatment. Awareness of stroke warning signs and responses to stroke could be enhanced by using mobile applications. Furthermore, prehospital assessment and notification could be streamlined for use in telemedicine and teleradiology. A mobile telemedicine system for assessing the National Institutes of Health Stroke Scale scores has shown higher correlation and fast assessment comparing with face-to-face method. Because the benefits of thrombolytic treatment are time-dependent, treatment should be initiated as quickly as possible. In-hospital communication between multidisciplinary team members can be enhanced using information technology. A computerized in-hospital alert system using computerized physician-order entry was shown to be effective in reducing the time intervals from hospital arrival to medical evaluations and thrombolytic treatment. Mobile devices can also be used as supplementary tools for neurologic examination and clinical decision-making. In post-stroke rehabilitation, virtual reality and telerehabilitation are helpful. Mobile applications might be useful for public awareness, lifestyle modification, and education/training of healthcare professionals. Information technology and mobile health are useful tools for management of stroke patients from the acute period to rehabilitation. Further improvement of technology will change and enhance stroke prevention and treatment.

Developing an Environmental Decision Support System for Stream Management: the STREAMES Experience

NASA Astrophysics Data System (ADS)

Riera, J.; Argerich, A.; Comas, J.; Llorens, E.; Martí, E.; Godé, L.; Pargament, D.; Puig, M.; Sabater, F.

2005-05-01

Transferring research knowledge to stream managers is crucial for scientifically sound management. Environmental decision support systems are advocated as an effective means to accomplish this. STREAMES (STream REAach Management: an Expert System) is a decision tree based EDSS prototype developed within the context of an European project as a tool to assist water managers in the diagnosis of problems, detection of causes, and selection of management strategies for coping with stream degradation issues related mostly to excess nutrient availability. STREAMES was developed by a team of scientists, water managers, and experts in knowledge engineering. Although the tool focuses on management at the stream reach scale, it also incorporates a mass-balance catchment nutrient emission model and a simple GIS module. We will briefly present the prototype and share our experience in its development. Emphasis will be placed on the process of knowledge acquisition, the design process, the pitfalls and benefits of the communication between scientists and managers, and the potential for future development of STREAMES, particularly in the context of the EU Water Framework Directive.

Making Financial Decisions. Financial Management Module. Operational Management Programme. Increasing Opportunities for Supervisors and Managers.

ERIC Educational Resources Information Center

Adamson, Jan; And Others

One of a series of three self-instructional units, these materials are aimed at helping British hotel and catering managers improve profits and/or reduce costs in their areas of responsibility. Following a paragraph on how to use the unit and an introduction, section 1 covers control levels as the framework for making decisions. The section…

The experience of facilitators and participants of long term condition self-management group programmes: A qualitative synthesis.

PubMed

Hughes, Stephen; Lewis, Sophie; Willis, Karen; Rogers, Anne; Wyke, Sally; Smith, Lorraine

2017-12-01

Our aim was to systematically review the qualitative literature about the experiences of both facilitators and participants in a range of group-based programmes to support the self-management of long-term conditions. We searched 7 databases using the terms 'self-management', 'group' and 'qualitative'. Full text articles meeting the inclusion criteria were retrieved for review. A thematic synthesis approach was used to analyse the studies. 2126 articles were identified and 24 were included for review. Group participants valued being with similar others and perceived peer support benefits. Facilitators (HCP and lay) had limited group specific training, were uncertain of purpose and prioritised education and medical conformity over supportive group processes and the promotion of self-management agency and engagement. Overall, studies prioritised positive descriptions. Group programmes' medical self-management focus may reduce their ability to contribute to patient-valued outcomes. Further research is needed to explore this disconnect. This review supports broadening the scope of group-based programmes to foreground shared learning, social support and development of agency. It is of relevance to developers and facilitators of group self-management programmes and their ability to address the burden of long-term conditions. Copyright © 2017 Elsevier B.V. All rights reserved.

A rapidly changing global medicines environment: How adaptable are funding decision-making systems?

PubMed

Leopold, Christine; Morgan, Steven G; Wagner, Anita K

2017-06-01

With the launch of very highly priced therapies and sudden price increases of generics, pressures on health systems have drastically increased. We aimed to elicit opinions of key decision makers responsible for national assessment and funding decisions on their experiences to adapt to these new realities. Through interviews with decision makers of pharmaceutical assessment and/or funding agencies, we describe the challenges systems are currently facing, systems' responses and systems' characteristics facilitating or hindering responses to changes and overarching topics for the future. Among the most common challenges are increased funding pressures, increased uncertainty and lack of transparency in decision-making. Systems' responses include utilization management, changing of assessment processes, stakeholder engagement and a focus on outcomes and on coordinated negotiations. Integrated delivery systems, fixed health care budgets and geographic and historical characteristics facilitate or sometimes hinder responses to change. Future policy emphasis lays on expanding data structures, managing the exit of drugs funded early, and implementing processes for communications with patients and the public. Going forward emphasis has to be given to structured communications with all stakeholders with a specific emphasis on the broader public and patients about financial limits and priority setting in health care. Copyright © 2017 Elsevier B.V. All rights reserved.

Achieving a Risk-Informed Decision-Making Environment at NASA: The Emphasis of NASA's Risk Management Policy

NASA Technical Reports Server (NTRS)

Dezfuli, Homayoon

2010-01-01

This slide presentation reviews the evolution of risk management (RM) at NASA. The aim of the RM approach at NASA is to promote an approach that is heuristic, proactive, and coherent across all of NASA. Risk Informed Decision Making (RIDM) is a decision making process that uses a diverse set of performance measures along with other considerations within a deliberative process to inform decision making. RIDM is invoked for key decisions such as architecture and design decisions, make-buy decisions, and budget reallocation. The RIDM process and how it relates to the continuous Risk Management (CRM) process is reviewed.

Uncertainty and probability in wildfire management decision support: An example from the United States [Chapter 4

Treesearch

Matthew Thompson; David Calkin; Joe H. Scott; Michael Hand

2017-01-01

Wildfire risk assessment is increasingly being adopted to support federal wildfire management decisions in the United States. Existing decision support systems, specifically the Wildland Fire Decision Support System (WFDSS), provide a rich set of probabilistic and risk‐based information to support the management of active wildfire incidents. WFDSS offers a wide range...

Decisive management in selecting locations for development of construction projects

NASA Astrophysics Data System (ADS)

Szafranko, E.; Pawłowicz, J. A.

2017-08-01

The location of an investment project is one of the most important decisions in the construction and land development business. The shape of a new building and aspects of its future use depend on making a good choice of a land plot where it will be constructed. There are many characteristics involved descriptions of land available for development. On the one hand, different buildings (with different envisaged use) fit differently to a given location. Residential homes, for example, require a location which will ensure a peaceful lifestyle, with places for walks and recreation, situated in a relatively quite setting. On the other hand, close proximity to schools, shops or a health clinic is another important consideration. Industrial buildings should be localized so as not to be a nuisance to others, and their location should facilitate efficient transport of raw materials and ready products. Yet other requirements are defined for public buildings. It is therefore evident that the characteristics included in an evaluation of the location of a planned building can be highly diverse and their diversity makes the evaluation difficult. Selection of a location can be supported by a variety of methods. For instance, an evaluation can rely on assigning points which indicate the fulfillment of certain criteria. This approach generates a complex evaluation in the form of tables and maps of usefulness. Another possibility is to make an assessment of the criteria that a given land parcels should satisfy in order to develop a specific type of a building. Having combined these two sets of information, we can create a system or a model for the management of land resources, which will easily help to support decision making processes pertaining to the choice of a location. This article shows a model approach for a specific building.

Decision Making Styles and Progress in Occupational Decision Making.

ERIC Educational Resources Information Center

Phillips, Susan D.; And Others

1984-01-01

Examined the role of rational, intuitive, and dependent decisional strategies in facilitating decisions about postcollege occupation among college students (N=71). Results indicated that the use of a dependent decision-making style was the single most powerful predictor of progress. (LLL)

Understanding Facilitation: Theory and Principles.

ERIC Educational Resources Information Center

Hogan, Christine

This book introduces newcomers to the concept of facilitation, and it presents a critical analysis of established and current theory on facilitation for existing practitioners. The following are among the topics discussed: (1) emergence of the field of facilitation; (2) development of facilitation in management; (3) development of facilitation in…

Shared Decision-Making in the Management of Congenital Vascular Malformations.

PubMed

Horbach, Sophie E R; Ubbink, Dirk T; Stubenrouch, Fabienne E; Koelemay, Mark J W; van der Vleuten, Carine J M; Verhoeven, Bas H; Reekers, Jim A; Schultze Kool, Leo J; van der Horst, Chantal M A M

2017-03-01

In shared decision-making, clinicians and patients arrive at a joint treatment decision, by incorporating best available evidence and the patients' personal values and preferences. Little is known about the role of shared decision-making in managing patients with congenital vascular malformations, for which preference-sensitive decision-making seems obvious. The authors investigated preferences regarding decision-making and current shared decision-making behavior during physician-patient encounters. In two Dutch university hospitals, adults and children with congenital vascular malformations facing a treatment-related decision were enrolled. Before the consultation, patients (or parents of children) expressed their preference regarding decision-making (Control Preferences Scale). Afterward, participants completed shared decision-making-specific questionnaires (nine-item Shared Decision-Making Questionnaire, CollaboRATE, and satisfaction), and physicians completed the Shared Decision-Making Questionnaire-Physician questionnaire. Consultations were audiotaped and patient involvement was scored by two independent researchers using the five-item Observing Patient Involvement instrument. All questionnaire results were expressed on a scale of 0 to 100 (optimum shared decision-making). Fifty-five participants (24 parents and 31 adult patients) were included. Two-thirds preferred the shared decision-making approach (Control Preferences Scale). Objective five-item Observing Patient Involvement scores were low (mean ± SD, 31 ± 15), whereas patient and physician Shared Decision-Making Questionnaire scores were high, with means of 68 ± 18 and 68 ± 19, respectively. The median CollaboRATE score was 93. There was no clear relationship between shared decision-making and satisfaction scores. Although adults and parents of children with vascular malformations express a strong desire for shared decision-making, objective shared decision-making behavior is still lacking, most

Visualization support for risk-informed decision making when planning and managing software developments

NASA Technical Reports Server (NTRS)

Feather, Martin S.; Kiper, James D.; Menzies, Tim

2005-01-01

Key decisions are made in the early stages of planning and management of software developments. The information basis for these decisions is often a mix of analogy with past developments, and the best judgments of domain experts. Visualization of this information can support to such decision making by clarifying the status of the information and yielding insights into the ramifications of that information vis-a-vis decision alternatives.

77 FR 12877 - Record of Decision for the General Management Plan/Abbreviated Final Environmental Impact...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-03-02

... Decision for the General Management Plan/Abbreviated Final Environmental Impact Statement for New River... Abbreviated Final Environmental Impact Statement for the General Management Plan for New River Gorge National... Record of Decision can be downloaded from the NPS Planning, Environment and Public Comment (PEPC) Web...

Towards decision support for waiting lists: an operations management view.

PubMed

Vissers, J M; Van Der Bij, J D; Kusters, R J

2001-06-01

This paper considers the phenomenon of waiting lists in a healthcare setting, which is characterised by limitations on the national expenditure, to explore the potentials of an operations management perspective. A reference framework for waiting list management is described, distinguishing different levels of planning in healthcare--national, regional, hospital and process--that each contributes to the existence of waiting lists through managerial decision making. In addition, different underlying mechanisms in demand and supply are distinguished, which together explain the development of waiting lists. It is our contention that within this framework a series of situation specific models should be designed to support communication and decision making. This is illustrated by the modelling of the demand for cataract treatment in a regional setting in the south-eastern part of the Netherlands. An input-output model was developed to support decisions regarding waiting lists. The model projects the demand for treatment at a regional level and makes it possible to evaluate waiting list impacts for different scenarios to meet this demand.

Integrating Ecosystem-Based Management Principles of Adaptive Management and Stakeholder Engagement in California Fisheries

NASA Astrophysics Data System (ADS)

Erickson, A.; Martone, R. G.; Hazen, L.; Mease, L.; Gourlie, D.; Le Cornu, E.; Ourens, R.; Micheli, F.

2016-12-01

California's fisheries management law, the Marine Life Management Act (MLMA) of 1998, signaled a transformative shift from traditional single-species management to an ecosystem-based approach. In response, the fisheries management community in California is striving to integrate new science and management innovations while maximizing its limited capacity. However, data gaps, high compliance costs, capacity constraints, and limited access to the best available data and technologies persist. Here we present two decision support tools being developed to aid California fisheries managers as they continue to implement ecosystem-based management (EBM). First, to practice adaptive management, a key principle of EBM, managers must know whether and how their decisions are meeting their management objectives over time. Based on a cross-walk of MLMA goals with metrics and indicators from sustainable fishery certification programs, we present a flexible and practical tool for tracking fishery management performance in California. We showcase a draft series of decision trees and questionnaires managers can use to quantitatively or qualitatively measure both ecological and social outcomes, helping them to prioritize management options and limited resources. Second, state fisheries managers acknowledge the need for more effective stakeholder engagement to facilitate and inform decision-making and long-term outcomes, another key principle of EBM. Here, we present a pilot version of a decision-support tool to aid managers in choosing the most appropriate stakeholder engagement strategies in various types of decision contexts. This online tool will help staff identify their engagement goals, when they can strategically engage stakeholders based on their needs, and the fishery characteristics that will inform how engagement strategies are tailored to specific contexts. We also share opportunities to expand these EBM tools to other resource management contexts and scales.

Integrating Ecosystem-Based Management Principles of Adaptive Management and Stakeholder Engagement in California Fisheries

NASA Astrophysics Data System (ADS)

Erickson, A.; Martone, R. G.; Hazen, L.; Mease, L.; Gourlie, D.; Le Cornu, E.; Ourens, R.; Micheli, F.

2016-02-01

California's fisheries management law, the Marine Life Management Act (MLMA) of 1998, signaled a transformative shift from traditional single-species management to an ecosystem-based approach. In response, the fisheries management community in California is striving to integrate new science and management innovations while maximizing its limited capacity. However, data gaps, high compliance costs, capacity constraints, and limited access to the best available data and technologies persist. Here we present two decision support tools being developed to aid California fisheries managers as they continue to implement ecosystem-based management (EBM). First, to practice adaptive management, a key principle of EBM, managers must know whether and how their decisions are meeting their management objectives over time. Based on a cross-walk of MLMA goals with metrics and indicators from sustainable fishery certification programs, we present a flexible and practical tool for tracking fishery management performance in California. We showcase a draft series of decision trees and questionnaires managers can use to quantitatively or qualitatively measure both ecological and social outcomes, helping them to prioritize management options and limited resources. Second, state fisheries managers acknowledge the need for more effective stakeholder engagement to facilitate and inform decision-making and long-term outcomes, another key principle of EBM. Here, we present a pilot version of a decision-support tool to aid managers in choosing the most appropriate stakeholder engagement strategies in various types of decision contexts. This online tool will help staff identify their engagement goals, when they can strategically engage stakeholders based on their needs, and the fishery characteristics that will inform how engagement strategies are tailored to specific contexts. We also share opportunities to expand these EBM tools to other resource management contexts and scales.

Analysis of the decision-making process of nurse managers: a collective reflection.

PubMed

Eduardo, Elizabete Araujo; Peres, Aida Maris; de Almeida, Maria de Lourdes; Roglio, Karina de Dea; Bernardino, Elizabeth

2015-01-01

to analyze the decision-making model adopted by nurses from the perspective of some decision-making process theories. qualitative approach, based on action research. Semi-structured questionnaires and seminars were conducted from April to June 2012 in order to understand the nature of decisions and the decision-making process of nine nurses in position of managers at a public hospital in Southern Brazil. Data were subjected to content analysis. data were classified in two categories: the current situation of decision-making, which showed a lack of systematization; the construction and collective decision-making, which emphasizes the need to develop a decision-making model. the decision-making model used by nurses is limited because it does not consider two important factors: the limits of human rationality, and the external and internal organizational environments that influence and determine right decisions.

When orthographic neighbors fail to facilitate.

PubMed

Janack, Tracy; Pastizzo, Matthew J; Beth Feldman, Laurie

2004-01-01

Forward masked word primes that differed from the target in the initial, the final or both the initial and final positions tended to slow target decision latencies and there were no significant differences among prime types. After forward masked nonword primes we observed non significant facilitation when primes differed from the target by one letter in either the initial or final position and significant inhibition when primes differed in both initial and final positions. The patterns did not differ significantly for targets with large and with small neighborhoods. Only in post hoc analyses was there any indication of facilitation after nonword neighbor primes and it appeared only when body neighborhood was small. For slower participants, neighbors tended to facilitate target decision latencies while for relatively fast readers showed neighbors made inhibition that tended to vary with amount of mismatch.

Factual Approach in Decision Making - the Prerequisite of Success in Quality Management

NASA Astrophysics Data System (ADS)

Kučerová, Marta; Škůrková Lestyánszka, Katarína

2013-12-01

In quality management system as well as in other managerial systems, effective decisions must be always based on the data and information analysis, i.e. based on facts, in accordance with the factual approach principle in quality management. It is therefore necessary to measure and collect the data and information about processes. The article presents the results of a conducted survey, which was focused on application of factual approach in decision making. It also offers suggestions for improvements of application of the principle in business practice. This article was prepared using the research results of VEGA project No. 1/0229/08 "Perspectives of the quality management development in relation to the requirements of market in the Slovak Republic".

Use of structured decision making to identify monitoring variables and management priorities for salt marsh ecosystems

USGS Publications Warehouse

Neckles, Hilary A.; Lyons, James E.; Guntenspergen, Glenn R.; Shriver, W. Gregory; Adamowicz, Susan C.

2015-01-01

Most salt marshes in the USA have been degraded by human activities, and coastal managers are faced with complex choices among possible actions to restore or enhance ecosystem integrity. We applied structured decision making (SDM) to guide selection of monitoring variables and management priorities for salt marshes within the National Wildlife Refuge System in the northeastern USA. In general, SDM is a systematic process for decomposing a decision into its essential elements. We first engaged stakeholders in clarifying regional salt marsh decision problems, defining objectives and attributes to evaluate whether objectives are achieved, and developing a pool of alternative management actions for achieving objectives. Through this process, we identified salt marsh attributes that were applicable to monitoring National Wildlife Refuges on a regional scale and that targeted management needs. We then analyzed management decisions within three salt marsh units at Prime Hook National Wildlife Refuge, coastal Delaware, as a case example of prioritizing management alternatives. Values for salt marsh attributes were estimated from 2 years of baseline monitoring data and expert opinion. We used linear value modeling to aggregate multiple attributes into a single performance score for each alternative, constrained optimization to identify alternatives that maximized total management benefits subject to refuge-wide cost constraints, and used graphical analysis to identify the optimal set of alternatives for the refuge. SDM offers an efficient, transparent approach for integrating monitoring into management practice and improving the quality of management decisions.

Decisions about weight management: a synthesis of qualitative studies of obesity.

PubMed

Brown, I; Gould, J

2011-04-01

There is a high non-attendance and dropout attrition from weight management interventions for adults with obesity. Patient dissatisfaction with consultations involving decisions about interventions may be a factor. A systematic review was undertaken of qualitative studies reporting perceptions, experiences, contexts and influences for adults facing, or reflecting on, weight management. The aim was to synthesize a generic model of influences on decision-making about weight management for adult patients. Electronic database and hand searches identified 29 qualitative studies involving 1387 participants (mean age 45.3 years; mean BMI 37.1 kg m(-2) ; 79.9% women). Seven overarching themes were inductively derived from extracted data spanning: cultural identity; social structures such as gender; responses to obesity stigma; previous weight loss experiences; personal motivators and barriers; social support; and practical resources. A model is presented in the paper. Improving decisions about weight management requires attention to how diffuse cultural and psycho-social factors, such as obesity stigma, influence patient choices. Reflection on experiences of previous attempts at weight loss is also essential, as are practical resource factors - particularly for less affluent groups. Considering these factors along with more established theories of individual psychological motivations and barriers may help to improve initial participation and retention within interventions. © 2011 The Authors. Clinical Obesity © 2011 International Association for the Study of Obesity.

The Evidential Basis of Decision Making in Plant Disease Management.

PubMed

Hughes, Gareth

2017-08-04

The evidential basis for disease management decision making is provided by data relating to risk factors. The decision process involves an assessment of the evidence leading to taking (or refraining from) action on the basis of a prediction. The primary objective of the decision process is to identify-at the time the decision is made-the control action that provides the best predicted end-of-season outcome, calculated in terms of revenue or another appropriate metric. Data relating to disease risk factors may take a variety of forms (e.g., continuous, discrete, categorical) on measurement scales in a variety of units. Log 10 -likelihood ratios provide a principled basis for the accumulation of evidence based on such data and allow predictions to be made via Bayesian updating of prior probabilities.

A Semantic Approach with Decision Support for Safety Service in Smart Home Management

PubMed Central

Huang, Xiaoci; Yi, Jianjun; Zhu, Xiaomin; Chen, Shaoli

2016-01-01

Research on smart homes (SHs) has increased significantly in recent years because of the convenience provided by having an assisted living environment. The functions of SHs as mentioned in previous studies, particularly safety services, are seldom discussed or mentioned. Thus, this study proposes a semantic approach with decision support for safety service in SH management. The focus of this contribution is to explore a context awareness and reasoning approach for risk recognition in SH that enables the proper decision support for flexible safety service provision. The framework of SH based on a wireless sensor network is described from the perspective of neighbourhood management. This approach is based on the integration of semantic knowledge in which a reasoner can make decisions about risk recognition and safety service. We present a management ontology for a SH and relevant monitoring contextual information, which considers its suitability in a pervasive computing environment and is service-oriented. We also propose a rule-based reasoning method to provide decision support through reasoning techniques and context-awareness. A system prototype is developed to evaluate the feasibility, time response and extendibility of the approach. The evaluation of our approach shows that it is more effective in daily risk event recognition. The decisions for service provision are shown to be accurate. PMID:27527170