Massive integration of diverse protein quality assessment methods to improve template based modeling in CASP11

PubMed Central

Cao, Renzhi; Bhattacharya, Debswapna; Adhikari, Badri; Li, Jilong; Cheng, Jianlin

2015-01-01

Model evaluation and selection is an important step and a big challenge in template-based protein structure prediction. Individual model quality assessment methods designed for recognizing some specific properties of protein structures often fail to consistently select good models from a model pool because of their limitations. Therefore, combining multiple complimentary quality assessment methods is useful for improving model ranking and consequently tertiary structure prediction. Here, we report the performance and analysis of our human tertiary structure predictor (MULTICOM) based on the massive integration of 14 diverse complementary quality assessment methods that was successfully benchmarked in the 11th Critical Assessment of Techniques of Protein Structure prediction (CASP11). The predictions of MULTICOM for 39 template-based domains were rigorously assessed by six scoring metrics covering global topology of Cα trace, local all-atom fitness, side chain quality, and physical reasonableness of the model. The results show that the massive integration of complementary, diverse single-model and multi-model quality assessment methods can effectively leverage the strength of single-model methods in distinguishing quality variation among similar good models and the advantage of multi-model quality assessment methods of identifying reasonable average-quality models. The overall excellent performance of the MULTICOM predictor demonstrates that integrating a large number of model quality assessment methods in conjunction with model clustering is a useful approach to improve the accuracy, diversity, and consequently robustness of template-based protein structure prediction. PMID:26369671

Sensor-Based Optimization Model for Air Quality Improvement in Home IoT.

PubMed

Kim, Jonghyuk; Hwangbo, Hyunwoo

2018-03-23

We introduce current home Internet of Things (IoT) technology and present research on its various forms and applications in real life. In addition, we describe IoT marketing strategies as well as specific modeling techniques for improving air quality, a key home IoT service. To this end, we summarize the latest research on sensor-based home IoT, studies on indoor air quality, and technical studies on random data generation. In addition, we develop an air quality improvement model that can be readily applied to the market by acquiring initial analytical data and building infrastructures using spectrum/density analysis and the natural cubic spline method. Accordingly, we generate related data based on user behavioral values. We integrate the logic into the existing home IoT system to enable users to easily access the system through the Web or mobile applications. We expect that the present introduction of a practical marketing application method will contribute to enhancing the expansion of the home IoT market.

Assessment of surgical discharge summaries and evaluation of a new quality improvement model.

PubMed

Stein, Ran; Neufeld, David; Shwartz, Ivan; Erez, Ilan; Haas, Ilana; Magen, Ada; Glassberg, Elon; Shmulevsky, Pavel; Paran, Haim

2014-11-01

Discharge summaries after hospitalization provide the most reliable description and implications of the hospitalization. A concise discharge summary is crucial for maintaining continuity of care through the transition from inpatient to ambulatory care. Discharge summaries often lack information and are imprecise. Errors and insufficient recommendations regarding changes in the medical regimen may harm the patient's health and may result in readmission. To evaluate a quality improvement model and training program for writing postoperative discharge summaries for three surgical procedures. Medical records and surgical discharge summaries were reviewed and scored. Essential points for communication between surgeons and family physicians were included in automated forms. Staff was briefed twice regarding required summary contents with an interim evaluation. Changes in quality were evaluated. Summaries from 61 cholecystectomies, 42 hernioplasties and 45 colectomies were reviewed. The average quality score of all discharge summaries increased from 72.1 to 78.3 after the first intervention (P < 0.0005) to 81.0 following the second intervention. As the discharge summary's quality improved, its length decreased significantly. Discharge summaries lack important information and are too long. Developing a model for discharge summaries and instructing surgical staff regarding their contents resulted in measurable improvement. Frequent interventions and supervision are needed to maintain the quality of the surgical discharge summary.

A residency clinic chronic condition management quality improvement project.

PubMed

Halverson, Larry W; Sontheimer, Dan; Duvall, Sharon

2007-02-01

Quality improvement in chronic disease management is a major agenda for improving health and reducing health care costs. A six-component chronic disease management model can help guide this effort. Several characteristics of the "new model" of family medicine described by the Future of Family Medicine (FFM) Project Leadership Committee are promulgated to foster practice changes that improve quality. Our objective was to implement and assess a quality improvement project guided by the components of a chronic disease management model and FFM new model characteristics. Diabetes was selected as a model chronic disease focus. Multiple practice changes were implemented. A mature electronic medical record facilitated data collection and measurement of quality improvement progress. Data from the diabetes registry demonstrates that our efforts have been effective. Significant improvement occurred in five out of six quality indicators. Multidisciplinary teamwork in a model residency practice guided by chronic disease management principles and the FFM new model characteristics can produce significant management improvements in one important chronic disease.

Evaluating a nursing care delivery model using a quality improvement design.

PubMed

Nardone, P L; Markie, J W; Tolle, S

1995-10-01

The goal to develop and implement a new model of nursing care delivery grew out of administrative and shared governance initiatives to improve the quality of nursing care. This evaluative study used both quantitative and qualitative methods. Seven principles related to quality were identified and became the driving force behind the changes. Aspects of these changes in care delivery were piloted on a neurological unit and included implementation of collaborative rounds, a modular structure, role changes, and work redesign. Frequency distribution, questionnaire, focus group, and financial data indicated that there had been improvement in the delivery of care in addition to financial benefits. A considerable amount of the data provided evidence that supported continuing the changes.

Massive integration of diverse protein quality assessment methods to improve template based modeling in CASP11.

PubMed

Cao, Renzhi; Bhattacharya, Debswapna; Adhikari, Badri; Li, Jilong; Cheng, Jianlin

2016-09-01

Model evaluation and selection is an important step and a big challenge in template-based protein structure prediction. Individual model quality assessment methods designed for recognizing some specific properties of protein structures often fail to consistently select good models from a model pool because of their limitations. Therefore, combining multiple complimentary quality assessment methods is useful for improving model ranking and consequently tertiary structure prediction. Here, we report the performance and analysis of our human tertiary structure predictor (MULTICOM) based on the massive integration of 14 diverse complementary quality assessment methods that was successfully benchmarked in the 11th Critical Assessment of Techniques of Protein Structure prediction (CASP11). The predictions of MULTICOM for 39 template-based domains were rigorously assessed by six scoring metrics covering global topology of Cα trace, local all-atom fitness, side chain quality, and physical reasonableness of the model. The results show that the massive integration of complementary, diverse single-model and multi-model quality assessment methods can effectively leverage the strength of single-model methods in distinguishing quality variation among similar good models and the advantage of multi-model quality assessment methods of identifying reasonable average-quality models. The overall excellent performance of the MULTICOM predictor demonstrates that integrating a large number of model quality assessment methods in conjunction with model clustering is a useful approach to improve the accuracy, diversity, and consequently robustness of template-based protein structure prediction. Proteins 2016; 84(Suppl 1):247-259. © 2015 Wiley Periodicals, Inc. © 2015 Wiley Periodicals, Inc.

Improvements to image quality using hybrid and model-based iterative reconstructions: a phantom study.

PubMed

Aurumskjöld, Marie-Louise; Ydström, Kristina; Tingberg, Anders; Söderberg, Marcus

2017-01-01

The number of computed tomography (CT) examinations is increasing and leading to an increase in total patient exposure. It is therefore important to optimize CT scan imaging conditions in order to reduce the radiation dose. The introduction of iterative reconstruction methods has enabled an improvement in image quality and a reduction in radiation dose. To investigate how image quality depends on reconstruction method and to discuss patient dose reduction resulting from the use of hybrid and model-based iterative reconstruction. An image quality phantom (Catphan® 600) and an anthropomorphic torso phantom were examined on a Philips Brilliance iCT. The image quality was evaluated in terms of CT numbers, noise, noise power spectra (NPS), contrast-to-noise ratio (CNR), low-contrast resolution, and spatial resolution for different scan parameters and dose levels. The images were reconstructed using filtered back projection (FBP) and different settings of hybrid (iDose 4 ) and model-based (IMR) iterative reconstruction methods. iDose 4 decreased the noise by 15-45% compared with FBP depending on the level of iDose 4 . The IMR reduced the noise even further, by 60-75% compared to FBP. The results are independent of dose. The NPS showed changes in the noise distribution for different reconstruction methods. The low-contrast resolution and CNR were improved with iDose 4 , and the improvement was even greater with IMR. There is great potential to reduce noise and thereby improve image quality by using hybrid or, in particular, model-based iterative reconstruction methods, or to lower radiation dose and maintain image quality. © The Foundation Acta Radiologica 2016.

Model-driven approach to data collection and reporting for quality improvement.

PubMed

Curcin, Vasa; Woodcock, Thomas; Poots, Alan J; Majeed, Azeem; Bell, Derek

2014-12-01

Continuous data collection and analysis have been shown essential to achieving improvement in healthcare. However, the data required for local improvement initiatives are often not readily available from hospital Electronic Health Record (EHR) systems or not routinely collected. Furthermore, improvement teams are often restricted in time and funding thus requiring inexpensive and rapid tools to support their work. Hence, the informatics challenge in healthcare local improvement initiatives consists of providing a mechanism for rapid modelling of the local domain by non-informatics experts, including performance metric definitions, and grounded in established improvement techniques. We investigate the feasibility of a model-driven software approach to address this challenge, whereby an improvement model designed by a team is used to automatically generate required electronic data collection instruments and reporting tools. To that goal, we have designed a generic Improvement Data Model (IDM) to capture the data items and quality measures relevant to the project, and constructed Web Improvement Support in Healthcare (WISH), a prototype tool that takes user-generated IDM models and creates a data schema, data collection web interfaces, and a set of live reports, based on Statistical Process Control (SPC) for use by improvement teams. The software has been successfully used in over 50 improvement projects, with more than 700 users. We present in detail the experiences of one of those initiatives, Chronic Obstructive Pulmonary Disease project in Northwest London hospitals. The specific challenges of improvement in healthcare are analysed and the benefits and limitations of the approach are discussed. Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

Model-driven approach to data collection and reporting for quality improvement

PubMed Central

Curcin, Vasa; Woodcock, Thomas; Poots, Alan J.; Majeed, Azeem; Bell, Derek

2014-01-01

Continuous data collection and analysis have been shown essential to achieving improvement in healthcare. However, the data required for local improvement initiatives are often not readily available from hospital Electronic Health Record (EHR) systems or not routinely collected. Furthermore, improvement teams are often restricted in time and funding thus requiring inexpensive and rapid tools to support their work. Hence, the informatics challenge in healthcare local improvement initiatives consists of providing a mechanism for rapid modelling of the local domain by non-informatics experts, including performance metric definitions, and grounded in established improvement techniques. We investigate the feasibility of a model-driven software approach to address this challenge, whereby an improvement model designed by a team is used to automatically generate required electronic data collection instruments and reporting tools. To that goal, we have designed a generic Improvement Data Model (IDM) to capture the data items and quality measures relevant to the project, and constructed Web Improvement Support in Healthcare (WISH), a prototype tool that takes user-generated IDM models and creates a data schema, data collection web interfaces, and a set of live reports, based on Statistical Process Control (SPC) for use by improvement teams. The software has been successfully used in over 50 improvement projects, with more than 700 users. We present in detail the experiences of one of those initiatives, Chronic Obstructive Pulmonary Disease project in Northwest London hospitals. The specific challenges of improvement in healthcare are analysed and the benefits and limitations of the approach are discussed. PMID:24874182

A supply chain model to improve the beef quality distribution using investment analysis: A case study

NASA Astrophysics Data System (ADS)

Lupita, Alessandra; Rangkuti, Sabrina Heriza; Sutopo, Wahyudi; Hisjam, Muh.

2017-11-01

There are significant differences related to the quality and price of the beef commodity in traditional market and modern market in Indonesia. Those are caused by very different treatments of the commodity. The different treatments are in the slaughter lines, the transportation from the abattoir to the outlet, the display system, and the control system. If the problem is not solved by the Government, the gap will result a great loss of the consumer regarding to the quality and sustainability of traditional traders business because of the declining interest in purchasing beef in the traditional markets. This article aims to improve the quality of beef in traditional markets. This study proposed A Supply Chain Model that involves the schemes of investment and government incentive for improving the distribution system. The supply chain model is can be formulated using the Mix Integer Linear Programming (MILP) and solved using the IBM®ILOG®CPLEX software. The results show that the proposed model can be used to determine the priority of programs for improving the quality and sustainability business of traditional beef merchants. By using the models, The Government can make a decision to consider incentives for improving the condition.

Innovative model of delivering quality improvement education for trainees--a pilot project.

PubMed

Ramar, Kannan; Hale, Curt W; Dankbar, Eugene C

2015-01-01

After incorporating quality improvement (QI) education as a required curriculum for our trainees in 2010, a need arose to readdress our didactic sessions as they were too long, difficult to schedule, and resulting in a drop in attendance. A 'flipped classroom' (FC) model to deliver QI education was touted to be an effective delivery method as it allows the trainees to view didactic materials on videos, on their own time, and uses the classroom to clarify concepts and employ learned tools on case-based scenarios including workshops. The Mayo Quality Academy prepared 29 videos that incorporated the previously delivered 17 weekly didactic sessions, for a total duration of 135 min. The half-day session clarified questions related to the videos, followed by case examples and a hands-on workshop on how to perform and utilize a few commonly used QI tools and methods. Seven trainees participated. There was a significant improvement in knowledge as measured by pre- and post-FC model test results [improvement by 40.34% (SD 16.34), p<0.001]. The survey results were overall positive about the FC model with all trainees strongly agreeing that we should continue with this model to deliver QI education. The pilot project of using the FC model to deliver QI education was successful in a small sample of trainees.

Sensor-Based Optimization Model for Air Quality Improvement in Home IoT

PubMed Central

Kim, Jonghyuk

2018-01-01

We introduce current home Internet of Things (IoT) technology and present research on its various forms and applications in real life. In addition, we describe IoT marketing strategies as well as specific modeling techniques for improving air quality, a key home IoT service. To this end, we summarize the latest research on sensor-based home IoT, studies on indoor air quality, and technical studies on random data generation. In addition, we develop an air quality improvement model that can be readily applied to the market by acquiring initial analytical data and building infrastructures using spectrum/density analysis and the natural cubic spline method. Accordingly, we generate related data based on user behavioral values. We integrate the logic into the existing home IoT system to enable users to easily access the system through the Web or mobile applications. We expect that the present introduction of a practical marketing application method will contribute to enhancing the expansion of the home IoT market. PMID:29570684

Integrating empowerment evaluation and quality improvement to achieve healthcare improvement outcomes

PubMed Central

Wandersman, Abraham; Alia, Kassandra Ann; Cook, Brittany; Ramaswamy, Rohit

2015-01-01

While the body of evidence-based healthcare interventions grows, the ability of health systems to deliver these interventions effectively and efficiently lags behind. Quality improvement approaches, such as the model for improvement, have demonstrated some success in healthcare but their impact has been lessened by implementation challenges. To help address these challenges, we describe the empowerment evaluation approach that has been developed by programme evaluators and a method for its application (Getting To Outcomes (GTO)). We then describe how GTO can be used to implement healthcare interventions. An illustrative healthcare quality improvement example that compares the model for improvement and the GTO method for reducing hospital admissions through improved diabetes care is described. We conclude with suggestions for integrating GTO and the model for improvement. PMID:26178332

International quality improvement initiatives.

PubMed

Hickey, Patricia A; Connor, Jean A; Cherian, Kotturathu M; Jenkins, Kathy; Doherty, Kaitlin; Zhang, Haibo; Gaies, Michael; Pasquali, Sara; Tabbutt, Sarah; St Louis, James D; Sarris, George E; Kurosawa, Hiromi; Jonas, Richard A; Sandoval, Nestor; Tchervenkov, Christo I; Jacobs, Jeffery P; Stellin, Giovanni; Kirklin, James K; Garg, Rajnish; Vener, David F

2017-12-01

Across the globe, the implementation of quality improvement science and collaborative learning has positively affected the care and outcomes for children born with CHD. These efforts have advanced the collective expertise and performance of inter-professional healthcare teams. In this review, we highlight selected quality improvement initiatives and strategies impacting the field of cardiovascular care and describe implications for future practice and research. The continued leveraging of technology, commitment to data transparency, focus on team-based practice, and recognition of cultural norms and preferences ensure the success of sustainable models of global collaboration.

Improving cardiovascular care through outpatient cardiac rehabilitation: an analysis of payment models that would improve quality and promote use.

PubMed

Mead, Holly; Grantham, Sarah; Siegel, Bruce

2014-01-01

Much attention has been paid to improving the care of patients with cardiovascular disease by focusing attention on delivery system redesign and payment reforms that encompass the healthcare spectrum, from an acute episode to maintenance of care. However, 1 area of cardiovascular disease care that has received little attention in the advancement of quality is cardiac rehabilitation (CR), a comprehensive secondary prevention program that is significantly underused despite evidence-based guidelines that recommending its use. The purpose of this article was to analyze the applicability of 2 payment and reimbursement models-pay-for-performance and bundled payments for episodes of care--that can promote the use of CR. We conclude that a payment model combining elements of both pay-for-performance and episodes of care would increase the use of CR, which would both improve quality and increase efficiency in cardiac care. Specific elements would need to be clearly defined, however, including: (a) how an episode is defined, (b) how to hold providers accountable for the care they provider, (c) how to encourage participation among CR providers, and (d) how to determine an equitable distribution of payment. Demonstrations testing new payment models must be implemented to generate empirical evidence that a melded pay-for-performance and episode-based care payment model will improve quality and efficiency.

Learning, Behaviour and Reaction Framework: A Model for Training Raters to Improve Assessment Quality

ERIC Educational Resources Information Center

Chen, Chung-Yang; Chang, Huiju; Hsu, Wen-Chin; Sheen, Gwo-Ji

2017-01-01

This paper proposes a training model for raters, with the goal to improve the intra- and inter-consistency of evaluation quality for higher education curricula. The model, termed the learning, behaviour and reaction (LBR) circular training model, is an interdisciplinary application from the business and organisational training domain. The…

How the national healthcare quality and disparities reports can catalyze quality improvement.

PubMed

McNeill, Dwight; Kelley, Ed

2005-03-01

The purpose of the National Reports on Healthcare Quality and Disparities is to enhance awareness of quality and health care disparities, track progress, understand variations, and catalyze improvements in health care. The objective of this paper is to propose a model that will facilitate a user's progression from knowledge to action and to show how the reports, its data warehouse, associated products, and Agency for Healthcare Research and Quality resources are integrated and focused on a comprehensive campaign to improve health care quality. The design of the paper is to present a conceptual model and to show how implementation strategies for the reports fit the model. The authors propose a quality improvement supply chain model to help elucidate the links of the process, corresponding developmental stages that potential users need to master and progress through, and "just-in-time" supply chain inputs at each of the corresponding stages, and populate the model with examples. The traditional ways of disseminating knowledge derived from science through reports and conferences are inadequate to the humbling need for vast improvements in the US health care system. Our model suggests the need for a wide variety of information, packaged in a diverse ways, and delivered just in time and on demand. It encourages the alignment of decision makers and researchers, along with information intermediaries and innovation brokers, to make the information production cycle more efficient and effective. Future iterations of the reports will improve relevance, meaning, and distribution of information to facilitate its uptake by potential users.

Quality improvement in neonatal digital radiography: implementing the basic quality improvement tools.

PubMed

Eslamy, Hedieh K; Newman, Beverley; Weinberger, Ed

2014-12-01

A quality improvement (QI) program may be implemented using the plan-do-study-act cycle (as a model for making improvements) and the basic QI tools (used to visually display and analyze variation in data). Managing radiation dose has come to the forefront as a safety goal for radiology departments. This is especially true in the pediatric population, which is more radiosensitive than the adult population. In this article, we use neonatal digital radiography to discuss developing a QI program with the principle goals of decreasing the radiation dose, decreasing variation in radiation dose, and optimizing image quality. Copyright © 2014 Elsevier Inc. All rights reserved.

Creating Quality Improvement Culture in Public Health Agencies

PubMed Central

Mahanna, Elizabeth; Joly, Brenda; Zelek, Michael; Riley, William; Verma, Pooja; Fisher, Jessica Solomon

2014-01-01

Objectives. We conducted case studies of 10 agencies that participated in early quality improvement efforts. Methods. The agencies participated in a project conducted by the National Association of County and City Health Officials (2007–2008). Case study participants included health directors and quality improvement team leaders and members. We implemented multiple qualitative analysis processes, including cross-case analysis and logic modeling. We categorized agencies according to the extent to which they had developed a quality improvement culture. Results. Agencies were conducting informal quality improvement projects (n = 4), conducting formal quality improvement projects (n = 3), or creating a quality improvement culture (n = 4). Agencies conducting formal quality improvement and creating a quality improvement culture had leadership support for quality improvement, participated in national quality improvement initiatives, had a greater number of staff trained in quality improvement and quality improvement teams that met regularly with decision-making authority. Agencies conducting informal quality improvement were likely to report that accreditation is the major driver for quality improvement work. Agencies creating a quality improvement culture were more likely to have a history of evidence-based decision-making and use quality improvement to address emerging issues. Conclusions. Our findings support previous research and add the roles of national public health accreditation and emerging issues as factors in agencies’ ability to create and sustain a quality improvement culture. PMID:24228680

Creating quality improvement culture in public health agencies.

PubMed

Davis, Mary V; Mahanna, Elizabeth; Joly, Brenda; Zelek, Michael; Riley, William; Verma, Pooja; Fisher, Jessica Solomon

2014-01-01

We conducted case studies of 10 agencies that participated in early quality improvement efforts. The agencies participated in a project conducted by the National Association of County and City Health Officials (2007-2008). Case study participants included health directors and quality improvement team leaders and members. We implemented multiple qualitative analysis processes, including cross-case analysis and logic modeling. We categorized agencies according to the extent to which they had developed a quality improvement culture. Agencies were conducting informal quality improvement projects (n = 4), conducting formal quality improvement projects (n = 3), or creating a quality improvement culture (n = 4). Agencies conducting formal quality improvement and creating a quality improvement culture had leadership support for quality improvement, participated in national quality improvement initiatives, had a greater number of staff trained in quality improvement and quality improvement teams that met regularly with decision-making authority. Agencies conducting informal quality improvement were likely to report that accreditation is the major driver for quality improvement work. Agencies creating a quality improvement culture were more likely to have a history of evidence-based decision-making and use quality improvement to address emerging issues. Our findings support previous research and add the roles of national public health accreditation and emerging issues as factors in agencies' ability to create and sustain a quality improvement culture.

Continuous quality improvement: a shared governance model that maximizes agent-specific knowledge.

PubMed

Burkoski, Vanessa; Yoon, Jennifer

2013-01-01

Motivate, Innovate, Celebrate: an innovative shared governance model through the establishment of continuous quality improvement (CQI) councils was implemented across the London Health Sciences Centre (LHSC). The model leverages agent-specific knowledge at the point of care and provides a structure aimed at building human resources capacity and sustaining enhancements to quality and safe care delivery. Interprofessional and cross-functional teams work through the CQI councils to identify, formulate, execute and evaluate CQI initiatives. In addition to a structure that facilitates collaboration, accountability and ownership, a corporate CQI Steering Committee provides the forum for scaling up and spreading this model. Point-of-care staff, clinical management and educators were trained in LEAN methodology and patient experience-based design to ensure sufficient knowledge and resources to support the implementation.

Can Quality Improvement System Improve Childcare Site Performance in School Readiness?

ERIC Educational Resources Information Center

Ma, Xin; Shen, Jianping; Lu, Xuejin; Brandi, Karen; Goodman, Jeff; Watson, Grace

2013-01-01

The authors evaluated the effectiveness of the Quality Improvement System (QIS) developed and implemented by Children's Services Council of Palm Beach County (Florida) as a voluntary initiative to improve the quality of childcare and education. They adopted a growth model approach to investigate whether childcare sites that participated in QIS…

Integrity Model Application: A Quality Support System for Decision-makers on Water Quality Assessment and Improvement

NASA Astrophysics Data System (ADS)

Mirauda, D.; Ostoich, M.; Di Maria, F.; Benacchio, S.; Saccardo, I.

2018-03-01

In this paper, a mathematical model has been applied to a river in North-East Italy to describe vulnerability scenarios due to environmental pollution phenomena. Such model, based on the influence diagrams theory, allowed identifying the extremely critical factors, such as wastewater discharges, drainage of diffuse pollution from agriculture and climate changes, which might affect the water quality of the river. The obtained results underlined how the water quality conditions have improved thanks to the continuous controls on the territory, following the application of Water Framework Directive 2000/60/EC. Nevertheless, some fluvial stretches did not reach the “good ecological status” by 2015, because of the increasing population in urban areas recorded in the last years and the high presence of tourists during the summer months, not balanced by a treatment plants upgrade.

Lower- Versus Higher-Income Populations In The Alternative Quality Contract: Improved Quality And Similar Spending

PubMed Central

Song, Zirui; Rose, Sherri; Chernew, Michael E.; Safran, Dana Gelb

2018-01-01

As population-based payment models become increasingly common, it is crucial to understand how such payment models affect health disparities. We evaluated health care quality and spending among enrollees in areas with lower versus higher socioeconomic status in Massachusetts before and after providers entered into the Alternative Quality Contract, a two-sided population-based payment model with substantial incentives tied to quality. We compared changes in process measures, outcome measures, and spending between enrollees in areas with lower and higher socioeconomic status from 2006 to 2012 (outcome measures were measured after the intervention only). Quality improved for all enrollees in the Alternative Quality Contract after their provider organizations entered the contract. Process measures improved 1.2 percentage points per year more among enrollees in areas with lower socioeconomic status than among those in areas with higher socioeconomic status. Outcome measure improvement was no different between the subgroups; neither were changes in spending. Larger or comparable improvements in quality among enrollees in areas with lower socioeconomic status suggest a potential narrowing of disparities. Strong pay-for-performance incentives within a population-based payment model could encourage providers to focus on improving quality for more disadvantaged populations. PMID:28069849

A roadmap for improving healthcare service quality.

PubMed

Kennedy, Denise M; Caselli, Richard J; Berry, Leonard L

2011-01-01

A data-driven, comprehensive model for improving service and creating long-term value was developed and implemented at Mayo Clinic Arizona (MCA). Healthcare organizations can use this model to prepare for value-based purchasing, a payment system in which quality and patient experience measures will influence reimbursement. Surviving and thriving in such a system will require a comprehensive approach to sustaining excellent service performance from physicians and allied health staff (e.g., nurses, technicians, nonclinical staff). The seven prongs in MCA's service quality improvement model are (1) multiple data sources to drive improvement, (2) accountability for service quality, (3) service consultation and improvement tools, (4) service values and behaviors, (5) education and training, (6) ongoing monitoring and control, and (7) recognition and reward. The model was fully implemented and tested in five departments in which patient perception of provider-specific service attributes and/or overall quality of care were below the 90th percentile for patient satisfaction in the vendor's database. Extent of the implementation was at the discretion of department leadership. Perception data rating various service attributes were collected from randomly selected patients and monitored over a 24-month period. The largest increases in patient perception of excellence over the pilot period were realized when all seven prongs of the model were implemented as a comprehensive improvement approach. The results of this pilot may help other healthcare organizations prepare for value-based purchasing.

Quality Improvement Initiatives in Inflammatory Bowel Disease.

PubMed

Berry, Sameer K; Siegel, Corey A; Melmed, Gil Y

2017-08-01

This article serves as an overview of several quality improvement initiatives in inflammatory bowel disease (IBD). IBD is associated with significant variation in care, suggesting poor quality of care. There have been several efforts to improve the quality of care for patients with IBD. Quality improvement (QI) initiatives in IBD are intended to be patient-centric, improve outcomes for individuals and populations, and reduce costs-all consistent with "the triple aim" put forth by the Institute for Healthcare Improvement (IHI). Current QI initiatives include the development of quality measure sets to standardize processes and outcomes, learning health systems to foster collaborative improvement, and patient-centered medical homes specific to patients with IBD in shared risk models of care. Some of these programs have demonstrated early success in improving patient outcomes, reducing costs, improving patient satisfaction, and facilitating patient engagement. However, further studies are needed to evaluate and compare the effects of these programs over time on clinical outcomes in order to demonstrate long-term value and sustainability.

The air quality forecast in Beijing with Community Multi-scale Air Quality Modeling (CMAQ) System: model evaluation and improvement

NASA Astrophysics Data System (ADS)

Wu, Q.

2013-12-01

The MM5-SMOKE-CMAQ model system, which is developed by the United States Environmental Protection Agency(U.S. EPA) as the Models-3 system, has been used for the daily air quality forecast in the Beijing Municipal Environmental Monitoring Center(Beijing MEMC), as a part of the Ensemble Air Quality Forecast System for Beijing(EMS-Beijing) since the Olympic Games year 2008. In this study, we collect the daily forecast results of the CMAQ model in the whole year 2010 for the model evaluation. The results show that the model play a good model performance in most days but underestimate obviously in some air pollution episode. A typical air pollution episode from 11st - 20th January 2010 was chosen, which the air pollution index(API) of particulate matter (PM10) observed by Beijing MEMC reaches to 180 while the prediction of PM10-API is about 100. Taking in account all stations in Beijing, including urban and suburban stations, three numerical methods are used for model improvement: firstly, enhance the inner domain with 4km grids, the coverage from only Beijing to the area including its surrounding cities; secondly, update the Beijing stationary area emission inventory, from statistical county-level to village-town level, that would provide more detail spatial informance for area emissions; thirdly, add some industrial points emission in Beijing's surrounding cities, the latter two are both the improvement of emission. As the result, the peak of the nine national standard stations averaged PM10-API, which is simulated by CMAQ as daily hindcast PM10-API, reach to 160 and much near to the observation. The new results show better model performance, which the correlation coefficent is 0.93 in national standard stations average and 0.84 in all stations, the relative error is 15.7% in national standard stations averaged and 27% in all stations. The time series of 9 national standard in Beijing urban The scatter diagram of all stations in Beijing, the red is the forecast and

Integrating empowerment evaluation and quality improvement to achieve healthcare improvement outcomes.

PubMed

Wandersman, Abraham; Alia, Kassandra Ann; Cook, Brittany; Ramaswamy, Rohit

2015-10-01

While the body of evidence-based healthcare interventions grows, the ability of health systems to deliver these interventions effectively and efficiently lags behind. Quality improvement approaches, such as the model for improvement, have demonstrated some success in healthcare but their impact has been lessened by implementation challenges. To help address these challenges, we describe the empowerment evaluation approach that has been developed by programme evaluators and a method for its application (Getting To Outcomes (GTO)). We then describe how GTO can be used to implement healthcare interventions. An illustrative healthcare quality improvement example that compares the model for improvement and the GTO method for reducing hospital admissions through improved diabetes care is described. We conclude with suggestions for integrating GTO and the model for improvement. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Teaching quality improvement.

PubMed

Murray, Marry Ellen; Douglas, Stephen; Girdley, Diana; Jarzemsky, Paula

2010-08-01

Practicing nurses are required to engage in quality improvement work as a part of their clinical practice, but few undergraduate nursing education programs offer course work and applied experience in this area. This article presents a description of class content and teaching strategies, assignments, and evaluation strategies designed to achieve the Quality and Safety Education in Nursing competencies related to quality improvement and interdisciplinary teams. Students demonstrate their application of the quality improvement process by designing and implementing a small-scale quality improvement project that they report in storyboard format on a virtual conference Web site.

Lower- Versus Higher-Income Populations In The Alternative Quality Contract: Improved Quality And Similar Spending.

PubMed

Song, Zirui; Rose, Sherri; Chernew, Michael E; Safran, Dana Gelb

2017-01-01

As population-based payment models become increasingly common, it is crucial to understand how such payment models affect health disparities. We evaluated health care quality and spending among enrollees in areas with lower versus higher socioeconomic status in Massachusetts before and after providers entered into the Alternative Quality Contract, a two-sided population-based payment model with substantial incentives tied to quality. We compared changes in process measures, outcome measures, and spending between enrollees in areas with lower and higher socioeconomic status from 2006 to 2012 (outcome measures were measured after the intervention only). Quality improved for all enrollees in the Alternative Quality Contract after their provider organizations entered the contract. Process measures improved 1.2 percentage points per year more among enrollees in areas with lower socioeconomic status than among those in areas with higher socioeconomic status. Outcome measure improvement was no different between the subgroups; neither were changes in spending. Larger or comparable improvements in quality among enrollees in areas with lower socioeconomic status suggest a potential narrowing of disparities. Strong pay-for-performance incentives within a population-based payment model could encourage providers to focus on improving quality for more disadvantaged populations. Project HOPE—The People-to-People Health Foundation, Inc.

Applying Quality Function Deployment Model in Burn Unit Service Improvement.

PubMed

Keshtkaran, Ali; Hashemi, Neda; Kharazmi, Erfan; Abbasi, Mehdi

2016-01-01

Quality function deployment (QFD) is one of the most effective quality design tools. This study applies QFD technique to improve the quality of the burn unit services in Ghotbedin Hospital in Shiraz, Iran. First, the patients' expectations of burn unit services and their priorities were determined through Delphi method. Thereafter, burn unit service specifications were determined through Delphi method. Further, the relationships between the patients' expectations and service specifications and also the relationships between service specifications were determined through an expert group's opinion. Last, the final importance scores of service specifications were calculated through simple additive weighting method. The findings show that burn unit patients have 40 expectations in six different areas. These expectations are in 16 priority levels. Burn units also have 45 service specifications in six different areas. There are four-level relationships between the patients' expectations and service specifications and four-level relationships between service specifications. The most important burn unit service specifications have been identified in this study. The QFD model developed in the study can be a general guideline for QFD planners and executives.

Getting started with the model for improvement: psychology and leadership in quality improvement.

PubMed

Pratap, J Nick; Varughese, Anna M; Adler, Elena; Kurth, C Dean

2013-02-01

Although the case for quality in hospitals is compelling, doctors are often uncertain how to achieve it. This article forms the third and final part of a series providing practical guidance on getting started with a first quality improvement project. Introduction.

Modeling Study on Air Quality Improvement due to Mobile Source Emission control Plan in Seoul Metropolitan Area

NASA Astrophysics Data System (ADS)

Kim, Y. J.; Sunwoo, Y.; Hwang, I.; Song, S.; Sin, J.; Kim, D.

2015-12-01

A very high population and corresponding high number of vehicles in the Seoul Metropolitan Area (SMA) are aggravating the air quality of this region. The Korean government continues to make concerted efforts to improve air quality. One of the major policies that the Ministry of Environment of Korea enforced is "The Special Act for Improvement of Air Quality in SMA" and "The 1st Air Quality Management Plan of SMA". Mobile Source emission controls are an important part of the policy. Thus, it is timely to evaluate the air quality improvement due to the controls. Therefore, we performed a quantitative analysis of the difference in air quality using the Community Multiscale Air Quality (CMAQ) model and December, 2011 was set as the target period to capture the impact of the above control plans. We considered four fuel-type vehicle emission scenarios and compared the air quality improvement differences between them. The scenarios are as follows: no-control, gasoline vehicle control only, diesel vehicle control only, and control of both; utilizing the revised mobile source emissions from the Clean Air Policy Support System (CAPSS), which is the national emission inventory reflecting current policy.In order to improve the accuracy of the modeling data, we developed new temporal allocation coefficients based on traffic volume observation data and spatially reallocated the mobile source emissions using vehicle flow survey data. Furthermore, we calculated the PM10 and PM2.5 emissions of gasoline vehicles which is omitted in CAPSS.The results of the air quality modeling shows that vehicle control plans for both gasoline and diesel lead to a decrease of 0.65ppb~8.75ppb and 0.02㎍/㎥~7.09㎍/㎥ in NO2 and PM10 monthly average concentrations, respectively. The large percentage decreases mainly appear near the center of the metropolis. However, the largest NO2 decrease percentages are found in the northeast region of Gyeonggi-do, which is the province that surrounds the

Measuring and Costing Quality in Education: Using Quality and Productivity Methods To Improve Schools.

ERIC Educational Resources Information Center

Spanbauer, Stanley J.

The Measurement and Costing Model (MCM) described in this book was developed and tested at Fox Valley Technical College (FVTC), Wisconsin, to enhance the college's quality improvement process and to serve as a guide to other institutions interested in improving their quality. The book presents a description of the model and outlines seven steps…

Remote Sensing Characterization of the Urban Landscape for Improvement of Air Quality Modeling

NASA Technical Reports Server (NTRS)

Quattrochi, Dale A.; Estes, Maurice G., Jr.; Khan, Maudood

2005-01-01

The urban landscape is inherently complex and this complexity is not adequately captured in air quality models, particularly the Community Multiscale Air Quality (CMAQ) model that is used to assess whether urban areas are in attainment of EPA air quality standards, primarily for ground level ozone. This inadequacy of the CMAQ model to sufficiently respond to the heterogeneous nature of the urban landscape can impact how well the model predicts ozone pollutant levels over metropolitan areas and ultimately, whether cities exceed EPA ozone air quality standards. We are exploring the utility of high-resolution remote sensing data and urban growth projections as improved inputs to the meteorology component of the CMAQ model focusing on the Atlanta, Georgia metropolitan area as a case study. These growth projections include "business as usual" and "smart growth" scenarios out to 2030. The growth projections illustrate the effects of employing urban heat island mitigation strategies, such as increasing tree canopy and albedo across the Atlanta metro area, in moderating ground-level ozone and air temperature, compared to "business as usual" simulations in which heat island mitigation strategies are not applied. The National Land Cover Dataset at 30m resolution is being used as the land use/land cover input and aggregated to the 4km scale for the MM5 mesoscale meteorological model and the (CMAQ) modeling schemes. Use of these data has been found to better characterize low densityhburban development as compared with USGS 1 km land use/land cover data that have traditionally been used in modeling. Air quality prediction for fiture scenarios to 2030 is being facilitated by land use projections using a spatial growth model. Land use projections were developed using the 2030 Regional Transportation Plan developed by the Atlanta Regional Commission, the regional planning agency for the area. This allows the state Environmental Protection agency to evaluate how these

MQAPRank: improved global protein model quality assessment by learning-to-rank.

PubMed

Jing, Xiaoyang; Dong, Qiwen

2017-05-25

Protein structure prediction has achieved a lot of progress during the last few decades and a greater number of models for a certain sequence can be predicted. Consequently, assessing the qualities of predicted protein models in perspective is one of the key components of successful protein structure prediction. Over the past years, a number of methods have been developed to address this issue, which could be roughly divided into three categories: single methods, quasi-single methods and clustering (or consensus) methods. Although these methods achieve much success at different levels, accurate protein model quality assessment is still an open problem. Here, we present the MQAPRank, a global protein model quality assessment program based on learning-to-rank. The MQAPRank first sorts the decoy models by using single method based on learning-to-rank algorithm to indicate their relative qualities for the target protein. And then it takes the first five models as references to predict the qualities of other models by using average GDT_TS scores between reference models and other models. Benchmarked on CASP11 and 3DRobot datasets, the MQAPRank achieved better performances than other leading protein model quality assessment methods. Recently, the MQAPRank participated in the CASP12 under the group name FDUBio and achieved the state-of-the-art performances. The MQAPRank provides a convenient and powerful tool for protein model quality assessment with the state-of-the-art performances, it is useful for protein structure prediction and model quality assessment usages.

Handbook for the Commonwealth of Learning Review and Improvement Model: Making Quality Work in Higher Education

ERIC Educational Resources Information Center

Commonwealth of Learning, 2010

2010-01-01

The Commonwealth of Learning Review and Improvement Model (COL RIM) was developed by the Commonwealth of Learning in response to two key drivers: (1) Increased global emphasis on the quality of higher education; and (2) Rising concern about the high cost and uncertain benefits of conventional approaches to external quality assurance. Any…

Systems Modeling to Improve River, Riparian, and Wetland Habitat Quality and Area

NASA Astrophysics Data System (ADS)

Alafifi, A.

2016-12-01

The suitability of watershed habitat to support the livelihood of its biota primarily depends on managing flow. Ecological restoration requires finding opportunities to reallocate available water in a watershed to increase ecological benefits and maintain other beneficial uses. We present the Watershed Area of Suitable Habitat (WASH) systems model that recommends reservoir releases, streamflows, and water allocations throughout a watershed to maximize the ecosystem habitat quality. WASH embeds and aggregates area-weighted metrics for aquatic, floodplain, and wetland habitat components as an ecosystem objective to maximize, while maintaining water deliveries for domestic and agricultural uses, mass balance, and available budget for restoration actions. The metrics add spatial and temporal functionality and area coverage to traditional habitat quality indexes and can accommodate multiple species of concern. We apply the WASH model to the Utah portion of the Bear River watershed which includes 8 demand sites, 5 reservoirs and 37 nodes between the Utah-Idaho state line and the Great Salt Lake. We recommend water allocations to improve current conservation efforts and show tradeoffs between human and ecosystem uses of water. WASH results are displayed on an open-source web mapping application that allows stakeholders to access, visualize, and interact with the model data and results and compare current and model-recommended operations. Results show that the Bear River is largely developed and appropriated for human water uses. However, increasing reservoirs winter and early spring releases and minimizing late spring spill volumes can significantly improve habitat quality without harming agricultural or urban water users. The spatial and temporal reallocation of spring spills to environmental uses creates additional 70 thousand acres of suitable habitat in the watershed without harming human users. WASH also quantifies the potential environmental gains and losses from

Implementing resilience engineering for healthcare quality improvement using the CARE model: a feasibility study protocol.

PubMed

Anderson, J E; Ross, A J; Back, J; Duncan, M; Snell, P; Walsh, K; Jaye, P

2016-01-01

Resilience engineering (RE) is an emerging perspective on safety in complex adaptive systems that emphasises how outcomes emerge from the complexity of the clinical environment. Complexity creates the need for flexible adaptation to achieve outcomes. RE focuses on understanding the nature of adaptations, learning from success and increasing adaptive capacity. Although the philosophy is clear, progress in applying the ideas to quality improvement has been slow. The aim of this study is to test the feasibility of translating RE concepts into practical methods to improve quality by designing, implementing and evaluating interventions based on RE theory. The CARE model operationalises the key concepts and their relationships to guide the empirical investigation. The settings are the Emergency Department and the Older Person's Unit in a large London teaching hospital. Phases 1 and 2 of our work, leading to the development of interventions to improve the quality of care, are described in this paper. Ethical approval has been granted for these phases. Phase 1 will use ethnographic methods, including observation of work practices and interviews with staff, to understand adaptations and outcomes. The findings will be used to collaboratively design, with clinical staff in interactive design workshops, interventions to improve the quality of care. The evaluation phase will be designed and submitted for ethical approval when the outcomes of phases 1 and 2 are known. Study outcomes will be knowledge about the feasibility of applying RE to improve quality, the development of RE theory and a validated model of resilience in clinical work which can be used to guide other applications. Tools, methods and practical guidance for practitioners will also be produced, as well as specific knowledge of the potential effectiveness of the implemented interventions in emergency and older people's care. Further studies to test the application of RE at a larger scale will be required

Air Quality Modeling | Air Quality Planning & Standards | US ...

EPA Pesticide Factsheets

2016-06-08

The basic mission of the Office of Air Quality Planning and Standards is to preserve and improve the quality of our nation's air. One facet of accomplishing this goal requires that new and existing air pollution sources be modeled for compliance with the National Ambient Air Quality Standards (NAAQS).

Improved protein model quality assessments by changing the target function.

PubMed

Uziela, Karolis; Menéndez Hurtado, David; Shu, Nanjiang; Wallner, Björn; Elofsson, Arne

2018-06-01

Protein modeling quality is an important part of protein structure prediction. We have for more than a decade developed a set of methods for this problem. We have used various types of description of the protein and different machine learning methodologies. However, common to all these methods has been the target function used for training. The target function in ProQ describes the local quality of a residue in a protein model. In all versions of ProQ the target function has been the S-score. However, other quality estimation functions also exist, which can be divided into superposition- and contact-based methods. The superposition-based methods, such as S-score, are based on a rigid body superposition of a protein model and the native structure, while the contact-based methods compare the local environment of each residue. Here, we examine the effects of retraining our latest predictor, ProQ3D, using identical inputs but different target functions. We find that the contact-based methods are easier to predict and that predictors trained on these measures provide some advantages when it comes to identifying the best model. One possible reason for this is that contact based methods are better at estimating the quality of multi-domain targets. However, training on the S-score gives the best correlation with the GDT_TS score, which is commonly used in CASP to score the global model quality. To take the advantage of both of these features we provide an updated version of ProQ3D that predicts local and global model quality estimates based on different quality estimates. © 2018 Wiley Periodicals, Inc.

A Quality Framework for Continuous Improvement of e-Learning: The e-Learning Maturity Model

ERIC Educational Resources Information Center

Marshall, Stephen

2010-01-01

The E-Learning Maturity Model (eMM) is a quality improvement framework designed to help institutional leaders assess their institution's e-learning maturity. This paper reviews the eMM, drawing on examples of assessments conducted in New Zealand, Australia, the UK and the USA to show how it helps institutional leaders assess and compare their…

Leadership, safety climate, and continuous quality improvement: impact on process quality and patient safety.

PubMed

McFadden, Kathleen L; Stock, Gregory N; Gowen, Charles R

2014-10-01

Successful amelioration of medical errors represents a significant problem in the health care industry. There is a need for greater understanding of the factors that lead to improved process quality and patient safety outcomes in hospitals. We present a research model that shows how transformational leadership, safety climate, and continuous quality improvement (CQI) initiatives are related to objective quality and patient safety outcome measures. The proposed framework is tested using structural equation modeling, based on data collected for 204 hospitals, and supplemented with objective outcome data from the Centers for Medicare and Medicaid Services. The results provide empirical evidence that a safety climate, which is connected to the chief executive officer's transformational leadership style, is related to CQI initiatives, which are linked to improved process quality. A unique finding of this study is that, although CQI initiatives are positively associated with improved process quality, they are also associated with higher hospital-acquired condition rates, a measure of patient safety. Likewise, safety climate is directly related to improved patient safety outcomes. The notion that patient safety climate and CQI initiatives are not interchangeable or universally beneficial is an important contribution to the literature. The results confirm the importance of using CQI to effectively enhance process quality in hospitals, and patient safety climate to improve patient safety outcomes. The overall pattern of findings suggests that simultaneous implementation of CQI initiatives and patient safety climate produces greater combined benefits.

Leadership, safety climate, and continuous quality improvement: impact on process quality and patient safety.

PubMed

McFadden, Kathleen L; Stock, Gregory N; Gowen, Charles R

2015-01-01

Successful amelioration of medical errors represents a significant problem in the health care industry. There is a need for greater understanding of the factors that lead to improved process quality and patient safety outcomes in hospitals. We present a research model that shows how transformational leadership, safety climate, and continuous quality improvement (CQI) initiatives are related to objective quality and patient safety outcome measures. The proposed framework is tested using structural equation modeling, based on data collected for 204 hospitals, and supplemented with objective outcome data from the Centers for Medicare and Medicaid Services. The results provide empirical evidence that a safety climate, which is connected to the chief executive officer's transformational leadership style, is related to CQI initiatives, which are linked to improved process quality. A unique finding of this study is that, although CQI initiatives are positively associated with improved process quality, they are also associated with higher hospital-acquired condition rates, a measure of patient safety. Likewise, safety climate is directly related to improved patient safety outcomes. The notion that patient safety climate and CQI initiatives are not interchangeable or universally beneficial is an important contribution to the literature. The results confirm the importance of using CQI to effectively enhance process quality in hospitals, and patient safety climate to improve patient safety outcomes. The overall pattern of findings suggests that simultaneous implementation of CQI initiatives and patient safety climate produces greater combined benefits.

Automatic relative RPC image model bias compensation through hierarchical image matching for improving DEM quality

NASA Astrophysics Data System (ADS)

Noh, Myoung-Jong; Howat, Ian M.

2018-02-01

The quality and efficiency of automated Digital Elevation Model (DEM) extraction from stereoscopic satellite imagery is critically dependent on the accuracy of the sensor model used for co-locating pixels between stereo-pair images. In the absence of ground control or manual tie point selection, errors in the sensor models must be compensated with increased matching search-spaces, increasing both the computation time and the likelihood of spurious matches. Here we present an algorithm for automatically determining and compensating the relative bias in Rational Polynomial Coefficients (RPCs) between stereo-pairs utilizing hierarchical, sub-pixel image matching in object space. We demonstrate the algorithm using a suite of image stereo-pairs from multiple satellites over a range stereo-photogrammetrically challenging polar terrains. Besides providing a validation of the effectiveness of the algorithm for improving DEM quality, experiments with prescribed sensor model errors yield insight into the dependence of DEM characteristics and quality on relative sensor model bias. This algorithm is included in the Surface Extraction through TIN-based Search-space Minimization (SETSM) DEM extraction software package, which is the primary software used for the U.S. National Science Foundation ArcticDEM and Reference Elevation Model of Antarctica (REMA) products.

Applying a Continuous Quality Improvement Model To Assess Institutional Effectiveness.

ERIC Educational Resources Information Center

Roberts, Keith

This handbook outlines techniques and processes for improving institutional effectiveness and ensuring continuous quality improvement, based on strategic planning activities at Wisconsin's Milwaukee Area Technical College (MATC). First, institutional effectiveness is defined and 17 core indicators of effectiveness developed by the Wisconsin…

Owning solutions: a collaborative model to improve quality in hospital care for Aboriginal Australians.

PubMed

Durey, Angela; Wynaden, Dianne; Thompson, Sandra C; Davidson, Patricia M; Bessarab, Dawn; Katzenellenbogen, Judith M

2012-06-01

Well-documented health disparities between Aboriginal and Torres Strait Islander (hereafter referred to as Aboriginal) and non-Aboriginal Australians are underpinned by complex historical and social factors. The effects of colonisation including racism continue to impact negatively on Aboriginal health outcomes, despite being under-recognised and under-reported. Many Aboriginal people find hospitals unwelcoming and are reluctant to attend for diagnosis and treatment, particularly with few Aboriginal health professionals employed on these facilities. In this paper, scientific literature and reports on Aboriginal health-care, methodology and cross-cultural education are reviewed to inform a collaborative model of hospital-based organisational change. The paper proposes a collaborative model of care to improve health service delivery by building capacity in Aboriginal and non-Aboriginal personnel by recruiting more Aboriginal health professionals, increasing knowledge and skills to establish good relationships between non-Aboriginal care providers and Aboriginal patients and their families, delivering quality care that is respectful of culture and improving Aboriginal health outcomes. A key element of model design, implementation and evaluation is critical reflection on barriers and facilitators to providing respectful and culturally safe quality care at systemic, interpersonal and patient/family-centred levels. Nurses are central to addressing the current state of inequity and are pivotal change agents within the proposed model. © 2011 Blackwell Publishing Ltd.

Improving service quality in primary care.

PubMed

Kennedy, Denise M; Nordrum, Jon T; Edwards, Frederick D; Caselli, Richard J; Berry, Leonard L

2015-01-01

A framework for improving health care service quality was implemented at a 12-provider family medicine practice in 2010. A national patient satisfaction research vendor conducted weekly telephone surveys of 840 patients served by that practice: 280 patients served in 2009, and 560 served during 2010 and 2011. After the framework was implemented, the proportion of "excellent" ratings of provider service (the highest rating on a 5-point scale) increased by 5% to 9%, most notably thoroughness (P = .04), listening (P = .04), and explaining (P = .04). Other improvements included prompt test result notification and telephone staff courtesy (each by 10%, P = .02), as well as teamwork (by 8%, P = .04). Overall quality increased by 10% (P = .01), moving the practice from the 68th to the 91st percentile of medical practices in the research vendor's database. Improvements in patient satisfaction suggest that this framework may be useful in value-based payment models. © 2014 by the American College of Medical Quality.

Improved image quality in pinhole SPECT by accurate modeling of the point spread function in low magnification systems

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

Pino, Francisco; Roé, Nuria; Aguiar, Pablo, E-mail: pablo.aguiar.fernandez@sergas.es

2015-02-15

Purpose: Single photon emission computed tomography (SPECT) has become an important noninvasive imaging technique in small-animal research. Due to the high resolution required in small-animal SPECT systems, the spatially variant system response needs to be included in the reconstruction algorithm. Accurate modeling of the system response should result in a major improvement in the quality of reconstructed images. The aim of this study was to quantitatively assess the impact that an accurate modeling of spatially variant collimator/detector response has on image-quality parameters, using a low magnification SPECT system equipped with a pinhole collimator and a small gamma camera. Methods: Threemore » methods were used to model the point spread function (PSF). For the first, only the geometrical pinhole aperture was included in the PSF. For the second, the septal penetration through the pinhole collimator was added. In the third method, the measured intrinsic detector response was incorporated. Tomographic spatial resolution was evaluated and contrast, recovery coefficients, contrast-to-noise ratio, and noise were quantified using a custom-built NEMA NU 4–2008 image-quality phantom. Results: A high correlation was found between the experimental data corresponding to intrinsic detector response and the fitted values obtained by means of an asymmetric Gaussian distribution. For all PSF models, resolution improved as the distance from the point source to the center of the field of view increased and when the acquisition radius diminished. An improvement of resolution was observed after a minimum of five iterations when the PSF modeling included more corrections. Contrast, recovery coefficients, and contrast-to-noise ratio were better for the same level of noise in the image when more accurate models were included. Ring-type artifacts were observed when the number of iterations exceeded 12. Conclusions: Accurate modeling of the PSF improves resolution, contrast, and

Quality measurement and improvement in liver transplantation.

PubMed

Mathur, Amit K; Talwalkar, Jayant

2018-06-01

There is growing interest in the quality of health care delivery in liver transplantation. Multiple stakeholders, including patients, transplant providers and their hospitals, payers, and regulatory bodies have an interest in measuring and monitoring quality in the liver transplant process, and understanding differences in quality across centres. This article aims to provide an overview of quality measurement and regulatory issues in liver transplantation performed within the United States. We review how broader definitions of health care quality should be applied to liver transplant care models. We outline the status quo including the current regulatory agencies, public reporting mechanisms, and requirements around quality assurance and performance improvement (QAPI) activities. Additionally, we further discuss unintended consequences and opportunities for growth in quality measurement. Quality measurement and the integration of quality improvement strategies into liver transplant programmes hold significant promise, but multiple challenges to successful implementation must be addressed to optimise value. Copyright © 2018 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.

PconsFold: improved contact predictions improve protein models.

PubMed

Michel, Mirco; Hayat, Sikander; Skwark, Marcin J; Sander, Chris; Marks, Debora S; Elofsson, Arne

2014-09-01

Recently it has been shown that the quality of protein contact prediction from evolutionary information can be improved significantly if direct and indirect information is separated. Given sufficiently large protein families, the contact predictions contain sufficient information to predict the structure of many protein families. However, since the first studies contact prediction methods have improved. Here, we ask how much the final models are improved if improved contact predictions are used. In a small benchmark of 15 proteins, we show that the TM-scores of top-ranked models are improved by on average 33% using PconsFold compared with the original version of EVfold. In a larger benchmark, we find that the quality is improved with 15-30% when using PconsC in comparison with earlier contact prediction methods. Further, using Rosetta instead of CNS does not significantly improve global model accuracy, but the chemistry of models generated with Rosetta is improved. PconsFold is a fully automated pipeline for ab initio protein structure prediction based on evolutionary information. PconsFold is based on PconsC contact prediction and uses the Rosetta folding protocol. Due to its modularity, the contact prediction tool can be easily exchanged. The source code of PconsFold is available on GitHub at https://www.github.com/ElofssonLab/pcons-fold under the MIT license. PconsC is available from http://c.pcons.net/. Supplementary data are available at Bioinformatics online. © The Author 2014. Published by Oxford University Press.

Is the maturity of hospitals' quality improvement systems associated with measures of quality and patient safety?

PubMed Central

2011-01-01

Background Previous research addressed the development of a classification scheme for quality improvement systems in European hospitals. In this study we explore associations between the 'maturity' of the hospitals' quality improvement system and clinical outcomes. Methods The maturity classification scheme was developed based on survey results from 389 hospitals in eight European countries. We matched the hospitals from the Spanish sample (113 hospitals) with those hospitals participating in a nation-wide, voluntary hospital performance initiative. We then compared sample distributions and explored associations between the 'maturity' of the hospitals' quality improvement system and a range of composite outcomes measures, such as adjusted hospital-wide mortality, -readmission, -complication and -length of stay indices. Statistical analysis includes bivariate correlations for parametrically and non-parametrically distributed data, multiple robust regression models and bootstrapping techniques to obtain confidence-intervals for the correlation and regression estimates. Results Overall, 43 hospitals were included. Compared to the original sample of 113, this sample was characterized by a higher representation of university hospitals. Maturity of the quality improvement system was similar, although the matched sample showed less variability. Analysis of associations between the quality improvement system and hospital-wide outcomes suggests significant correlations for the indicator adjusted hospital complications, borderline significance for adjusted hospital readmissions and non-significance for the adjusted hospital mortality and length of stay indicators. These results are confirmed by the bootstrap estimates of the robust regression model after adjusting for hospital characteristics. Conclusions We assessed associations between hospitals' quality improvement systems and clinical outcomes. From this data it seems that having a more developed quality improvement

Quality improvement: the nurse's role.

PubMed

Moran, M J; Johnson, J E

1992-06-01

Continuous quality improvement is a concept which includes: Quality assurance--the provision of services that meet an appropriate standard. Problem resolution--including all departments involved in the issue at hand. Quality improvement--a continuous process involving all levels of the organization working together across departmental lines to produce better services for health care clients. Deming (1982b) and others have espoused total system reform to achieve quality improvement--not merely altering the current system, but radically changing it. It must be assumed that those who provide services at the staff level are acting in good faith and are not willfully failing to do what is correct (Berwick, 1991). Those who perform direct services are in an excellent position to identify the need for change in service delivery processes. Based on this premise, the staff nurse--who is at the heart of the system--is the best person to assess the status of health care services and to work toward improving the processes by which these services are provided to clients in the health care setting. The nurse manager must structure the work setting to facilitate the staff nurse's ability to undertake constructive action for improving care. The use of quality circles, quality councils, or quality improvement forums to facilitate the coordination of quality improvement efforts is an effective way to achieve success. The QA coordinator assists departments in documenting that the quality improvement efforts are effective across all departments of the organization, and aggregates data to demonstrate that they meet the requirements of external regulatory agencies, insurers, and professional standards. The nurse executive provides the vision and secures the necessary resources to ensure that the organization's quality improvement efforts are successful. By inspiring and empowering the staff in their efforts to improve the process by which health care is provided, nurse managers

The Application of Satellite-Derived, High-Resolution Land Use/Land Cover Data to Improve Urban Air Quality Model Forecasts

NASA Technical Reports Server (NTRS)

Quattrochi, D. A.; Lapenta, W. M.; Crosson, W. L.; Estes, M. G., Jr.; Limaye, A.; Kahn, M.

2006-01-01

Local and state agencies are responsible for developing state implementation plans to meet National Ambient Air Quality Standards. Numerical models used for this purpose simulate the transport and transformation of criteria pollutants and their precursors. The specification of land use/land cover (LULC) plays an important role in controlling modeled surface meteorology and emissions. NASA researchers have worked with partners and Atlanta stakeholders to incorporate an improved high-resolution LULC dataset for the Atlanta area within their modeling system and to assess meteorological and air quality impacts of Urban Heat Island (UHI) mitigation strategies. The new LULC dataset provides a more accurate representation of land use, has the potential to improve model accuracy, and facilitates prediction of LULC changes. Use of the new LULC dataset for two summertime episodes improved meteorological forecasts, with an existing daytime cold bias of approx. equal to 3 C reduced by 30%. Model performance for ozone prediction did not show improvement. In addition, LULC changes due to Atlanta area urbanization were predicted through 2030, for which model simulations predict higher urban air temperatures. The incorporation of UHI mitigation strategies partially offset this warming trend. The data and modeling methods used are generally applicable to other U.S. cities.

Quality Improvement Poster

DTIC Science & Technology

2017-03-30

FROM: 59 MDW/SGYU SUBJECT: Professional Presentation Approval 9 MAR 2017 1. Your paper, entitled Quality Improvement Poster presented at/published...to Improving Outpatient Recognition of VTE in the Ambulatory Setting (Poster) & American College of Physicians Internal Medicine Meeting, San Diego...information so that we can provide quality support for you, your department, and the Medical Center commander. This information is used to document the

Evaluating and improving the results of air quality models in Texas using TES, AIRS and other satellite data

NASA Astrophysics Data System (ADS)

Osterman, G.; Harper, C.; Estes, M.; Zhao, W.; Bowman, K.; Pierce, B.; Irion, B.; Kahn, B.; Al-Saadi, J.

2008-05-01

The Houston/Galveston/Brazoria (HGB) area of Texas has been classified as in moderate nonattainment of the Environmental Protection Agency (EPA) 8-hour standard for ground level ozone since April 30, 2004. The Texas Commission on Environmental Quality uses photochemical model results as one of its primary tools to develop strategies to bring the HGB area into attainment with the EPA standard. The state of Texas then includes the strategies into a revised version of its State Implementation Plan (SIP). We will discuss efforts that have been or soon will be underway to use satellite data to evaluate and improve the meteorological and photochemical modeling efforts at TCEQ. In particular we will show the use of GOES, AIRS and TES data to improve the ability to model, using the MM5 model, the meteorological conditions over Texas and the Gulf of Mexico. The meteorological fields are then used as one of the inputs to the CAMx air quality model used at TCEQ. We will discuss the use of chemical transport model results as initial and boundary conditions which are a key uncertainty in the modeling of the air above Houston. We will also discuss the use of TES data to assist in the evaluation of preliminary model results generated by TCEQ for time periods in 2005. The satellite data will provide key information on ozone and carbon monoxide concentrations away from surface monitors in the troposphere. We will show how satellite data is becoming a key tool in the effort to improve air quality in the HGB area and one that can easily applied for use in other regions of the country.

Using LiDAR datasets to improve HSPF water quality modeling in the Red River of the North Basin

NASA Astrophysics Data System (ADS)

Burke, M. P.; Foreman, C. S.

2013-12-01

The Red River of the North Basin (RRB), located in the lakebed of ancient glacial Lake Agassiz, comprises one of the flattest landscapes in North America. The topography of the basin, coupled with the Red River's direction of flow from south to north results in a system that is highly susceptible to flooding. The magnitude and frequency of flood events in the RRB has prompted several multijurisdictional projects and mitigation efforts. In response to the devastating 1997 flood, an International Joint Commission sponsored task force established the need for accurate elevation data to help improve flood forecasting and better understand risks. This led to the International Water Institute's Red River Basin Mapping Initiative, and the acquisition LiDAR Data for the entire US portion of the RRB. The resulting 1 meter bare earth digital elevation models have been used to improve hydraulic and hydrologic modeling within the RRB, with focus on flood prediction and mitigation. More recently, these LiDAR datasets have been incorporated into Hydrological Simulation Program-FORTRAN (HSPF) model applications to improve water quality predictions in the MN portion of the RRB. RESPEC is currently building HSPF model applications for five of MN's 8-digit HUC watersheds draining to the Red River, including: the Red Lake River, Clearwater River, Sandhill River, Two Rivers, and Tamarac River watersheds. This work is being conducted for the Minnesota Pollution Control Agency (MPCA) as part of MN's statewide watershed approach to restoring and protecting water. The HSPF model applications simulate hydrology (discharge, stage), as well as a number of water quality constituents (sediment, temperature, organic and inorganic nitrogen, total ammonia, organic and inorganic phosphorus, dissolved oxygen and biochemical oxygen demand, and algae) continuously for the period 1995-2009 and are formulated to provide predictions at points of interest within the watersheds, such as observation gages

Application of a sub-specialties management model improves quality control in a central sterile supply department.

PubMed

Wang, Li; Cai, Xuejiao; Cheng, Ping

2018-05-30

The management of medical devices is crucial to safe, high-quality surgical care, but has received little attention in the medical literature. This study explored the effect of a sub-specialties management model in the Central Sterile Supply Department (CSSD). A traditional routine management model (control) was applied from September 2015 through April 2016, and a newly developed sub-specialties management model (observation) was applied from July 2016 through February 2017. Health personnel from various clinical departments were randomly selected to participate as the control (n = 86) and observation (n = 90) groups, respectively. The groups were compared for rates of personnel satisfaction, complaints regarding device errors, and damage of medical devices. The satisfaction score of the observation group (95.8 ± 1.2) was significantly higher than that of the control (90.2 ± 2.3; P = 0.000). The rate of complaints of the observation group (3.3%) was significantly lower than that of the control (11.6%; P = 0.035). The quality control regarding recycle and packing was significantly higher during the observation period than the control period, which favorably influenced the scores for satisfaction. The rate of damage to specialist medical devices during the observation period (0.40%) was lower than during the control period (0.61%; P = 0.003). The theoretical knowledge and practical skills of the CSSD professionals improved after application of the sub-specialties management model. A management model that considers the requirements of specialist medical devices can improve quality control in the CSSD.

The ReACH Collaborative--improving quality home care.

PubMed

Boyce, Patricia Simino; Pace, Karen B; Lauder, Bonnie; Solomon, Debra A

2007-08-01

Research on quality of care has shown that vigorous leadership, clear goals, and compatible incentive systems are critical factors in influencing successful change (Institute of Medicine, 2001). Quality improvement is a complex process, and clinical quality improvement applications are more likely to be effective in organizations that are ready for change and have strong leaders, who are committed to creating and reinforcing a work environment that supports quality goals (Shortell, 1998). Key leadership roles include providing clear and sustained direction, articulating a coherent set of values and incentives to guide group and individual activities, aligning and integrating improvement efforts into organizational priorities, obtaining or freeing up resources to implement improvement activities, and creating a culture of "continuous improvement" that encourages and rewards the pursuit and achievement of shared quality aims (Institute of Medicine, 2001, 70-71). In summary, home health care is a significant and growing sector of the health care system that provides care to millions of vulnerable patients. There seems little doubt that home health agencies want to focus on quality of care issues and provide optimal care to home-based patients. Furthermore, there is a growing awareness of the value for adapting innovative, effective models for improving the culture of home care practice. This awareness stems from the notion that some agencies see quality improvement activities as a way for them to distinguish themselves not only to regulators and customers, but also to meet the cultural and transformational needs to remain viable in a constantly evolving and competitive health care industry.

Accelerate Water Quality Improvement

EPA Pesticide Factsheets

EPA is committed to accelerating water quality improvement and minimizing negative impacts to aquatic life from contaminants and other stressors in the Bay Delta Estuary by working with California Water Boards to strengthen water quality improvement plans.

Improving the Context Supporting Quality Improvement in a Neonatal Intensive Care Unit Quality Collaborative: An Exploratory Field Study.

PubMed

Grooms, Heather R; Froehle, Craig M; Provost, Lloyd P; Handyside, James; Kaplan, Heather C

Successful quality improvement (QI) requires a supportive context. The goal was to determine whether a structured curriculum could help QI teams improve the context supporting their QI work. An exploratory field study was conducted of 43 teams participating in a neonatal intensive care unit QI collaborative. Using a curriculum based on the Model for Understanding Success in Quality, teams identified gaps in their context and tested interventions to modify context. Surveys and self-reflective journals were analyzed to understand how teams developed changes to modify context. More than half (55%) targeted contextual improvements within the microsystem, focusing on motivation and culture. "Information sharing" interventions to communicate information about the project as a strategy to engage more staff were the most common interventions tested. Further study is needed to determine if efforts to modify context consistently lead to greater outcome improvements.

"Rheum to Improve": Quality Improvement in Outpatient Rheumatology.

PubMed

Chow, Shirley L; Shojania, Kaveh G

2017-09-01

The commitment to improve care processes and patient outcomes is a professional mandate for clinicians and is also seen as an operational priority for institutions. Quality improvement now figures in the accreditation of training programs, specialty examinations, and hospital scorecards. Rheumatologists have traditionally focused primarily on quality problems such as guideline adherence; however, improvement goals should also include other aspects of care that are helpful to patients and are professionally rewarding for practitioners. This review makes use of improvement projects in outlining tangible tools rheumatologists can use to resolve quality concerns in their practices.

Quality and Efficiency Improvement Tools for Every Radiologist.

PubMed

Kudla, Alexei U; Brook, Olga R

2018-06-01

In an era of value-based medicine, data-driven quality improvement is more important than ever to ensure safe and efficient imaging services. Familiarity with high-value tools enables all radiologists to successfully engage in quality and efficiency improvement. In this article, we review the model for improvement, strategies for measurement, and common practical tools with real-life examples that include Run chart, Control chart (Shewhart chart), Fishbone (Cause-and-Effect or Ishikawa) diagram, Pareto chart, 5 Whys, and Root Cause Analysis. Copyright © 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Designing a Clinical Data Warehouse Architecture to Support Quality Improvement Initiatives.

PubMed

Chelico, John D; Wilcox, Adam B; Vawdrey, David K; Kuperman, Gilad J

2016-01-01

Clinical data warehouses, initially directed towards clinical research or financial analyses, are evolving to support quality improvement efforts, and must now address the quality improvement life cycle. In addition, data that are needed for quality improvement often do not reside in a single database, requiring easier methods to query data across multiple disparate sources. We created a virtual data warehouse at NewYork Presbyterian Hospital that allowed us to bring together data from several source systems throughout the organization. We also created a framework to match the maturity of a data request in the quality improvement life cycle to proper tools needed for each request. As projects progress in the Define, Measure, Analyze, Improve, Control stages of quality improvement, there is a proper matching of resources the data needs at each step. We describe the analysis and design creating a robust model for applying clinical data warehousing to quality improvement.

Working alliance, real relationship, session quality, and client improvement in psychodynamic psychotherapy: A longitudinal actor partner interdependence model.

PubMed

Kivlighan, Dennis M; Hill, Clara E; Gelso, Charles J; Baumann, Ellen

2016-03-01

We used the Actor Partner Interdependence Model (APIM; Kashy & Kenny, 2000) to examine the dyadic associations of 74 clients and 23 therapists in their evaluations of working alliance, real relationship, session quality, and client improvement over time in ongoing psychodynamic or interpersonal psychotherapy. There were significant actor effects for both therapists and clients, with the participant's own ratings of working alliance and real relationship independently predicting their own evaluations of session quality. There were significant client partner effects, with clients' working alliance and real relationship independently predicting their therapists' evaluations of session quality. The client partner real relationship effect was stronger in later sessions than in earlier sessions. Therapists' real relationship ratings (partner effect) were a stronger predictor of clients' session quality ratings in later sessions than in earlier sessions. Therapists' working alliance ratings (partner effect) were a stronger predictor of clients' session quality ratings when clients made greater improvement than when clients made lesser improvement. For clients' session outcome ratings, there were complex three-way interactions, such that both Client real relationship and working alliance interacted with client improvement and time in treatment to predict clients' session quality. These findings strongly suggest both individual and partner effects when clients and therapists evaluate psychotherapy process and outcome. Implications for research and practice are discussed. (c) 2016 APA, all rights reserved).

Designing a Clinical Data Warehouse Architecture to Support Quality Improvement Initiatives

PubMed Central

Chelico, John D.; Wilcox, Adam B.; Vawdrey, David K.; Kuperman, Gilad J.

2016-01-01

Clinical data warehouses, initially directed towards clinical research or financial analyses, are evolving to support quality improvement efforts, and must now address the quality improvement life cycle. In addition, data that are needed for quality improvement often do not reside in a single database, requiring easier methods to query data across multiple disparate sources. We created a virtual data warehouse at NewYork Presbyterian Hospital that allowed us to bring together data from several source systems throughout the organization. We also created a framework to match the maturity of a data request in the quality improvement life cycle to proper tools needed for each request. As projects progress in the Define, Measure, Analyze, Improve, Control stages of quality improvement, there is a proper matching of resources the data needs at each step. We describe the analysis and design creating a robust model for applying clinical data warehousing to quality improvement. PMID:28269833

Lean management systems: creating a culture of continuous quality improvement.

PubMed

Clark, David M; Silvester, Kate; Knowles, Simon

2013-08-01

This is the first in a series of articles describing the application of Lean management systems to Laboratory Medicine. Lean is the term used to describe a principle-based continuous quality improvement (CQI) management system based on the Toyota production system (TPS) that has been evolving for over 70 years. Its origins go back much further and are heavily influenced by the work of W Edwards Deming and the scientific method that forms the basis of most quality management systems. Lean has two fundamental elements--a systematic approach to process improvement by removing waste in order to maximise value for the end-user of the service and a commitment to respect, challenge and develop the people who work within the service to create a culture of continuous improvement. Lean principles have been applied to a growing number of Healthcare systems throughout the world to improve the quality and cost-effectiveness of services for patients and a number of laboratories from all the pathology disciplines have used Lean to shorten turnaround times, improve quality (reduce errors) and improve productivity. Increasingly, models used to plan and implement large scale change in healthcare systems, including the National Health Service (NHS) change model, have evidence-based improvement methodologies (such as Lean CQI) as a core component. Consequently, a working knowledge of improvement methodology will be a core skill for Pathologists involved in leadership and management.

Vendor management: a model for collaboration and quality improvement.

PubMed

Friedman, M D; Bailit, M H; Michel, J O

1995-11-01

The Massachusetts Medicaid agency, also known as the Division of Medical Assistance, has developed a quality-driven approach for managing its managed care suppliers. Such an approach has, as its foundation, principles of continuous quality improvement (CQI). Suppliers participate in an annual process whereby CQI goals are negotiated between the division and its suppliers. The division then works with suppliers to achieve such goals. A cornerstone of the division's approach is the notion that data can highlight an unlimited number of opportunities for improvement and that pursuit of such opportunities will ultimately result in meaningful improvements in the health status of recipients who are served by the division. The agency's approach involves five key steps: 1) the development of contractual terms and purchasing specifications; 2) the identification of improvement priorities; 3) the negotiation of improvement goals; 4) efforts directed at meeting improvement goals and measurement of success; and 5) collaboration to achieve mutual objectives. Overall, suppliers report many benefits of collaborative participation in CQI activities with the division. Suppliers have enhanced their understanding of the importance of meeting the needs of the customer and have further accrued benefits resulting from discussions with managed care vendors throughout the site regarding benchmarking of efforts and CQI efforts. Conversely, suppliers are challenged by the need to balance and allocate resources to meet increasing demands, which are not always consistent, from various purchasers, including the division. The division has been challenged in the evolution of its contract management strategy by an uneven level of knowledge among managed care vendors regarding CQI; goal setting and measurement issues; the length of time and level of effort required to develop good relationships with suppliers; and the critical importance of comparable, valid, and timely submission of data. Over the

NASA-modified precipitation products to improve USEPA nonpoint source water quality modeling for the Chesapeake Bay.

PubMed

Nigro, Joseph; Toll, David; Partington, Ed; Ni-Meister, Wenge; Lee, Shihyan; Gutierrez-Magness, Angelica; Engman, Ted; Arsenault, Kristi

2010-01-01

The USEPA has estimated that over 20,000 water bodies within the United States do not meet water quality standards. One of the regulations in the Clean Water Act of 1972 requires states to monitor the total maximum daily load, or the amount of pollution that can be carried by a water body before it is determined to be "polluted," for any watershed in the United States (Copeland, 2005). In response to this mandate, the USEPA developed Better Assessment Science Integrating Nonpoint Sources (BASINS) as a decision support tool for assessing pollution and to guide the decision-making process for improving water quality. One of the models in BASINS, the Hydrological Simulation Program-Fortran (HSPF), computes continuous streamflow rates and pollutant concentration at each basin outlet. By design, precipitation and other meteorological data from weather stations serve as standard model input. In practice, these stations may be unable to capture the spatial heterogeneity of precipitation events, especially if they are few and far between. An attempt was made to resolve this issue by substituting station data with NASA-modified/NOAA precipitation data. Using these data within HSPF, streamflow was calculated for seven watersheds in the Chesapeake Bay Basin during low flow periods, convective storm periods, and annual flows. In almost every case, the modeling performance of HSPF increased when using the NASA-modified precipitation data, resulting in better streamflow statistics and, potentially, in improved water quality assessment.

How to Sustain Change and Support Continuous Quality Improvement

PubMed Central

McQuillan, Rory; Harel, Ziv; Weizman, Adam V.; Thomas, Alison; Nesrallah, Gihad; Bell, Chaim M.; Chan, Christopher T.; Chertow, Glenn M.

2016-01-01

To achieve sustainable change, quality improvement initiatives must become the new way of working rather than something added on to routine clinical care. However, most organizational change is not maintained. In this next article in this Moving Points in Nephrology feature on quality improvement, we provide health care professionals with strategies to sustain and support quality improvement. Threats to sustainability may be identified both at the beginning of a project and when it is ready for implementation. The National Health Service Sustainability Model is reviewed as one example to help identify issues that affect long-term success of quality improvement projects. Tools to help sustain improvement include process control boards, performance boards, standard work, and improvement huddles. Process control and performance boards are methods to communicate improvement results to staff and leadership. Standard work is a written or visual outline of current best practices for a task and provides a framework to ensure that changes that have improved patient care are consistently and reliably applied to every patient encounter. Improvement huddles are short, regular meetings among staff to anticipate problems, review performance, and support a culture of improvement. Many of these tools rely on principles of visual management, which are systems transparent and simple so that every staff member can rapidly distinguish normal from abnormal working conditions. Even when quality improvement methods are properly applied, the success of a project still depends on contextual factors. Context refers to aspects of the local setting in which the project operates. Context affects resources, leadership support, data infrastructure, team motivation, and team performance. For these reasons, the same project may thrive in a supportive context and fail in a different context. To demonstrate the practical applications of these quality improvement principles, these principles are

[Quality assurance and quality improvement. Personal experiences and intentions].

PubMed

Roche, B G; Sommer, C

1995-01-01

In may 1994 we were selected by the surgical Swiss association to make a study about quality in USA. During our travel we visited 3 types of institutions: Hospitals, National Institute of standard and Technology, Industry, Johnson & Johnson. We appreciate to compare 2 types of quality programs: Quality Assurance (QA) and Continuous Quality Improvement (CQI). In traditional healthcare circles, QA is the process established to meet external regulatory requirements and to assure that patient care is consistent with established standards. In a modern quality terms, QA outside of healthcare means designing a product or service, as well as controlling its production, so well that quality is inevitable. The ideas of W. Edward Deming is that there is never improvement just by inspection. He developed a theory based on 14 principles. A productive work is accomplished through processes. Understanding the variability of processes is a key to improve quality. Quality management sees each person in an organisation as part of one or more processes. The job of every worker is to receive the work of others, add value to that work, and supply it to the next person in the process. This is called the triple role the workers as customer, processor, and supplier. The main source of quality defects is problems in the process. The old assumption is that quality fails when people do the right thing wrong; the new assumption is that, more often, quality failures arise when people do the wrong think right. Exhortation, incentives and discipline of workers are unlikely to improve quality. If quality is failing when people do their jobs as designed, then exhorting them to do better is managerial nonsense. Modern quality theory is customer focused. Customers are identified internally and externally. The modern approach to quality is thoroughly grounded in scientific and statistical thinking. Like in medicine, the symptom is a defect in quality. The therapist of process must perform diagnostic

The Project Protect Infection Prevention Fellowship: A model for advancing infection prevention competency, quality improvement, and patient safety.

PubMed

Reisinger, Janine D; Wojcik, Anna; Jenkins, Ian; Edson, Barbara; Pegues, David A; Greene, Linda

2017-08-01

The Centers for Disease Control and Prevention 2016 Healthcare-Associated Infections (HAI) Progress Report documented no change in catheter-associated urinary tract infections (CAUTIs) between 2009 and 2014. There is a need for investment in additional efforts to reduce HAIs, specifically CAUTI. Quality improvement fellowships are 1 approach to expand the capacity of dedicated leaders and infection prevention champions. The fellowship used a model that expanded collaboration among disciplines and focused on partnership by recruiting a diverse cohort of fellows and by providing 1-on-1 mentoring to enhance leadership development. The curriculum supported the Association for Professionals in Infection Control and Prevention Competency Model in 2 domains: leadership and performance improvement and implementation science. The fellowship was successful. The fellows and mentors had self-reported high level of satisfaction, fellows' knowledge increased, and they demonstrated leadership, quality improvement, and implementation science competency within the completed capstone projects. A model encompassing diverse educational topics, discussions, workshops, and mentorship can serve as a template for developing infection prevention champions. Although this project focused on CAUTI, this template can be used in a variety of settings and applied to a range of other HAIs and performance improvement projects. Copyright © 2017 Association for Professionals in Infection Control and Epidemiology, Inc. All rights reserved.

Improving the Quality of Think-Alouds

ERIC Educational Resources Information Center

Ness, Molly; Kenny, MaryBeth

2016-01-01

An essential element in teaching children to effectively comprehend text is the use of teacher-led think alouds. This article presents a three-step model to improve the quality and quantity of think alouds in K-6 classrooms. The article follows elementary teachers who planned, implemented, transcribed, and reflected upon think aloud lessons to…

Value for money of changing healthcare services? Economic evaluation of quality improvement

PubMed Central

Severens, J

2003-01-01



 There are many instances of perceived or real inefficiencies in health service delivery. Both healthcare providers and policy makers need to know the impact and cost of applying strategies to change the behaviour of individuals or organisations. Quality improvement or implementation research is concerned with evaluating the methods of behavioural change. Addressing inefficiencies in healthcare services raises a series of issues, beginning with how inefficiency itself should be defined. The basic concepts of cost analysis and economic evaluations are explained and a model for working through the economic issues of quality improvement is discussed. This model combines the costs and benefits of corrected inefficiency with the costs and degree of behavioural change achieved by a quality improvement method in the policy maker's locality. It shows why it may not always be cost effective for policy makers to address suboptimal behaviour. Both the interpretation of quality improvement research findings and their local application need careful consideration. The limited availability of applicable quality improvement research may make it difficult to provide robust advice on the value for money of many behavioural quality improvement strategies. PMID:14532369

Controlled dehydration improves the diffraction quality of two RNA crystals.

PubMed

Park, HaJeung; Tran, Tuan; Lee, Jun Hyuck; Park, Hyun; Disney, Matthew D

2016-11-03

Post-crystallization dehydration methods, applying either vapor diffusion or humidity control devices, have been widely used to improve the diffraction quality of protein crystals. Despite the fact that RNA crystals tend to diffract poorly, there is a dearth of reports on the application of dehydration methods to improve the diffraction quality of RNA crystals. We use dehydration techniques with a Free Mounting System (FMS, a humidity control device) to recover the poor diffraction quality of RNA crystals. These approaches were applied to RNA constructs that model various RNA-mediated repeat expansion disorders. The method we describe herein could serve as a general tool to improve diffraction quality of RNA crystals to facilitate structure determinations.

The Model for Understanding Success in Quality (MUSIQ): building a theory of context in healthcare quality improvement.

PubMed

Kaplan, Heather C; Provost, Lloyd P; Froehle, Craig M; Margolis, Peter A

2012-01-01

BACKGROUND Quality improvement (QI) efforts have become widespread in healthcare, however there is significant variability in their success. Differences in context are thought to be responsible for some of the variability seen. To develop a conceptual model that can be used by organisations and QI researchers to understand and optimise contextual factors affecting the success of a QI project. 10 QI experts were provided with the results of a systematic literature review and then participated in two rounds of opinion gathering to identify and define important contextual factors. The experts subsequently met in person to identify relationships among factors and to begin to build the model. The Model for Understanding Success in Quality (MUSIQ) is organised based on the level of the healthcare system and identifies 25 contextual factors likely to influence QI success. Contextual factors within microsystems and those related to the QI team are hypothesised to directly shape QI success, whereas factors within the organisation and external environment are believed to influence success indirectly. The MUSIQ framework has the potential to guide the application of QI methods in healthcare and focus research. The specificity of MUSIQ and the explicit delineation of relationships among factors allows a deeper understanding of the mechanism of action by which context influences QI success. MUSIQ also provides a foundation to support further studies to test and refine the theory and advance the field of QI science.

The Application of Continuous Quality Improvement Models and Methods to Higher Education: Can We Learn from Business?

ERIC Educational Resources Information Center

Downey, Thomas E.

Continuous quality improvement (CQI) models, which were first applied in business, are critical to making new technology-based learning paradigms and flexible learning environments a reality. The following are among the factors that have facilitated CQI's application in education: increased operating costs; increased competition from private…

Structured data quality reports to improve EHR data quality.

PubMed

Taggart, Jane; Liaw, Siaw-Teng; Yu, Hairong

2015-12-01

To examine whether a structured data quality report (SDQR) and feedback sessions with practice principals and managers improve the quality of routinely collected data in EHRs. The intervention was conducted in four general practices participating in the Fairfield neighborhood electronic Practice Based Research Network (ePBRN). Data were extracted from their clinical information systems and summarised as a SDQR to guide feedback to practice principals and managers at 0, 4, 8 and 12 months. Data quality (DQ) metrics included completeness, correctness, consistency and duplication of patient records. Information on data recording practices, data quality improvement, and utility of SDQRs was collected at the feedback sessions at the practices. The main outcome measure was change in the recording of clinical information and level of meeting Royal Australian College of General Practice (RACGP) targets. Birth date was 100% and gender 99% complete at baseline and maintained. DQ of all variables measured improved significantly (p<0.01) over 12 months, but was not sufficient to comply with RACGP standards. Improvement was greatest with allergies. There was no significant change in duplicate records. SDQRs and feedback sessions support general practitioners and practice managers to focus on improving the recording of patient information. However, improved practice DQ, was not sufficient to meet RACGP targets. Randomised controlled studies are required to evaluate strategies to improve data quality and any associated improved safety and quality of care. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Multi-hospital Community NICU Quality Improvement Improves Survival of ELBW Infants.

PubMed

Owens, Jack D; Soltau, Thomas; McCaughn, Danny; Miller, Jason; O'Mara, Patrick; Robbins, Kenny; Temple, David M; Wender, David F

2015-08-01

Quality improvement or high reliability in medicine is an evolving science where we seek to integrate evidence-based medicine, structural resources, process management, leadership models, culture, and education. Newborn Associates is a community-based neonatology practice that staffs and manages neonatal intensive care units (NICU's) at Central Mississippi Medical Center, Mississippi Baptist Medical Center, River Oaks Hospital, St Dominic's Hospital and Woman's Hospital within the Jackson, Mississippi, metropolitan area. These hospitals participate in the Vermont-Oxford Neonatal Network (VON), which is a voluntary national network of about 1000 NICU groups that submit data allowing them to benchmark their patient outcome. This network currently holds data on 1.5 million infants. Participation may also include the Newborn Improvement Quality Collaborative (NICQ) which is an intensive quality improvement program where 40-60 of the almost 1000 VON centers participate each year or the iNICQ, which is an internet-based collaborative involving about 150 centers per year. From 2008-2009, our group concentrated efforts on quality improvement which included consolidating resources of three corporately managed hospitals to allow focused care of babies under 800-1000 grams at a single center, expanding participation in the VON NICQ to include all physicians and centers, and establishing a group QI focused committee aimed at sharing practice bundles and adopting quality improvement methodology. The goal of this article is to report the impact of these QI activities on survival of the smallest preterm infants who weigh less than 1500 grams at birth. Two epochs were compared: 2006-2009, and 2010-2013. 551 VLBW (< 1 500 grams) infants from epoch I were compared to 583 VLBW infants from epoch 2. Mortality in this group decreased from 18% to 11.1% (OR 0.62,95% CI 0.44-0.88). Mortality in the 501-750 grams birth weight category decreased from 45.7% to 18% (OR 0.39,95% CI 0

How to Improve the Quality of Screening Endoscopy in Korea: National Endoscopy Quality Improvement Program.

PubMed

Cho, Yu Kyung

2016-07-01

In Korea, gastric cancer screening, either esophagogastroduodenoscopy or upper gastrointestinal series (UGIS), is performed biennially for adults aged 40 years or older. Screening endoscopy has been shown to be associated with localized cancer detection and better than UGIS. However, the diagnostic sensitivity of detecting cancer is not satisfactory. The National Endoscopy Quality Improvement (QI) program was initiated in 2009 to enhance the quality of medical institutions and improve the effectiveness of the National Cancer Screening Program (NCSP). The Korean Society of Gastrointestinal Endoscopy developed quality standards through a broad systematic review of other endoscopic quality guidelines and discussions with experts. The standards comprise five domains: qualifications of endoscopists, endoscopic unit facilities and equipment, endoscopic procedure, endoscopy outcomes, and endoscopic reprocessing. After 5 years of the QI program, feedback surveys showed that the perception of QI and endoscopic practice improved substantially in all domains of quality, but the quality standards need to be revised. How to avoid missing cancer in endoscopic procedures in daily practice was reviewed, which can be applied to the mass screening endoscopy. To improve the quality and effectiveness of NCSP, key performance indicators, acceptable quality standards, regular audit, and appropriate reimbursement are necessary.

How improving practice relationships among clinicians and nonclinicians can improve quality in primary care.

PubMed

Lanham, Holly J; McDaniel, Reuben R; Crabtree, Benjamin F; Miller, William L; Stange, Kurt C; Tallia, Alfred F; Nutting, Paula

2009-09-01

Understanding the role of relationships health care organizations (HCOs) offers opportunities for shaping health care delivery. When quality is treated as a property arising from the relationships within HCOs, then different contributors of quality can be investigated and more effective strategies for improvement can be developed. Data were drawn from four large National Institutes of Health (NIH)-funded studies, and an iterative analytic strategy and a grounded theory approach were used to understand the characteristics of relationships within primary care practices. This multimethod approach amassed rich and comparable data sets in all four studies, which were all aimed at primary care practice improvement. The broad range of data included direct observation of practices during work activities and of patient-clinician interactions, in-depth interviews with physicians and other key staff members, surveys, structured checklists of office environments, and chart reviews. Analyses focused on characteristics of relationships in practices that exhibited a range of success in achieving practice improvement. Complex adaptive systems theory informed these analyses. Trust, mindfulness, heedfulness, respectful interaction, diversity, social/task relatedness, and rich/lean communication were identified as important in practice improvement. A model of practice relationships was developed to describe how these characteristics work together and interact with reflection, sensemaking, and learning to influence practice-level quality outcomes. Although this model of practice relationships was developed from data collected in primary care practices, which differ from other HCOs in some important ways, the ideas that quality is emergent and that relationships influence quality of care are universally important for all HCOs and all medical specialties.

Strengthening decentralized primary healthcare planning in Nigeria using a quality improvement model: how contexts and actors affect implementation.

PubMed

Eboreime, Ejemai Amaize; Nxumalo, Nonhlanhla; Ramaswamy, Rohit; Eyles, John

2018-05-08

Quality improvement models have been applied across various levels of health systems with varying success leading to scepticisms about effectiveness. Health systems are complex, influenced by contexts and characterized by numerous interests. Thus, a shift in focus from examining whether improvement models work, to understanding why, when and where they work most effectively is essential. Nigeria introduced DIVA (Diagnose-Intervene-Verify-Adjust) as a model to strengthen decentralized PHC planning. However, implementation has been poorly sustained. This article explores the role of actors and context in implementation and sustainability of DIVA in two local government areas (LGAs) in Nigeria. We employed an integrated mixed method approach in which qualitative data was used in conjunction with quantitative to understand effects of actors and contexts on implementation outcomes. We analysed policy documents and conducted interviews with PHC managers. Then using the Model for Understanding Success in Quality (MUSIQ), we measured contextual factors affecting implementation of DIVA in the selected LGAs. The LGAs scored 117.42 and 104.67 out of 168 points on the MUSIQ scale, respectively, indicating contextual barriers exist. Both have strong DIVA team attributes, but these could not independently ensure quality implementation. Although external support accounted for the greatest contextual disparities, the utmost implementation challenges relate to subnational government leadership, management, financial and technical support. Although higher levels of government may set visionary goals for PHC, interventions are potentially skewed towards donor interests at lower (implementation) levels. Thus, subnational political will is a key determinant of quality implementation. Consequently, advocacy for responsible and accountable political governance is essential in comparable decentralized contexts.

Do quality improvement systems improve health library services? A systematic review.

PubMed

Gray, Hannah; Sutton, Gary; Treadway, Victoria

2012-09-01

A turbulent financial and political climate requires health libraries to be more accountable than ever. Quality improvement systems are widely considered a 'good thing to do', but do they produce useful outcomes that can demonstrate value? To undertake a systematic review to identify which aspects of health libraries are being measured for quality, what tools are being used and what outcomes are reported following utilisation of quality improvement systems. Many health libraries utilise quality improvement systems without translating the data into service improvements. Included studies demonstrate that quality improvement systems produce valuable outcomes including a positive impact on strategic planning, promotion, new and improved services and staff development. No impact of quality improvement systems on library users or patients is reported in the literature. The literature in this area is sparse and requires updating. We recommend further primary research is conducted in health libraries focusing upon the outcomes of utilising quality improvement systems. An exploration of quality improvement systems in other library sectors may also provide valuable insight for health libraries. © 2012 The authors. Health Information and Libraries Journal © 2012 Health Libraries Group.

NASA-Modified Precipitation Products to Improve EPA Nonpoint Source Water Quality Modeling for the Chesapeake Bay

NASA Technical Reports Server (NTRS)

Nigro, Joseph; Toll, David; Partington, Ed; Ni-Meister, Wenge; Lee, Shihyan; Gutierrez-Magness, Angelica; Engman, Ted; Arsenault, Kristi

2010-01-01

The Environmental Protection Agency (EPA) has estimated that over 20,000 water bodies within the United States do not meet water quality standards. Ninety percent of the impairments are typically caused by nonpoint sources. One of the regulations in the Clean Water Act of 1972 requires States to monitor the Total Maximum Daily Load (TMDL), or the amount of pollution that can be carried by a water body before it is determined to be "polluted", for any watershed in the U.S.. In response to this mandate, the EPA developed Better Assessment Science Integrating Nonpoint Sources (BASINS) as a Decision Support Tool (DST) for assessing pollution and to guide the decision making process for improving water quality. One of the models in BASINS, the Hydrological Simulation Program -- Fortran (HSPF), computes daily stream flow rates and pollutant concentration at each basin outlet. By design, precipitation and other meteorological data from weather stations serve as standard model input. In practice, these stations may be unable to capture the spatial heterogeneity of precipitation events especially if they are few and far between. An attempt was made to resolve this issue by substituting station data with NASA modified/NOAA precipitation data. Using these data within HSPF, stream flow was calculated for seven watersheds in the Chesapeake Bay Basin during low flow periods, convective storm periods, and annual flows. In almost every case, the modeling performance of HSPF increased when using the NASA-modified precipitation data, resulting in better stream flow statistics and, ultimately, in improved water quality assessment.

Congestion Prediction Modeling for Quality of Service Improvement in Wireless Sensor Networks

PubMed Central

Lee, Ga-Won; Lee, Sung-Young; Huh, Eui-Nam

2014-01-01

Information technology (IT) is pushing ahead with drastic reforms of modern life for improvement of human welfare. Objects constitute “Information Networks” through smart, self-regulated information gathering that also recognizes and controls current information states in Wireless Sensor Networks (WSNs). Information observed from sensor networks in real-time is used to increase quality of life (QoL) in various industries and daily life. One of the key challenges of the WSNs is how to achieve lossless data transmission. Although nowadays sensor nodes have enhanced capacities, it is hard to assure lossless and reliable end-to-end data transmission in WSNs due to the unstable wireless links and low hard ware resources to satisfy high quality of service (QoS) requirements. We propose a node and path traffic prediction model to predict and minimize the congestion. This solution includes prediction of packet generation due to network congestion from both periodic and event data generation. Simulation using NS-2 and Matlab is used to demonstrate the effectiveness of the proposed solution. PMID:24784035

Use of national surgical quality improvement program data as a catalyst for quality improvement.

PubMed

Rowell, Katherine S; Turrentine, Florence E; Hutter, Matthew M; Khuri, Shukri F; Henderson, William G

2007-06-01

Semiannually, the National Surgical Quality Improvement Program (NSQIP) provides its participating sites with observed-to-expected (O/E) ratios for 30-day postoperative mortality and morbidity. At each reporting period, there is typically a small group of hospitals with statistically significantly high O/E ratios, meaning that their patients have experienced more adverse events than would be expected on the basis of the population characteristics. An important issue is to determine which actions a surgical service should take in the presence of a high O/E ratio. This article reviews case studies of how some of the Department of Veterans Affairs and private-sector NSQIP participating sites used the clinically rich NSQIP database for local quality improvement efforts. Data on postoperative adverse events before and after these local quality improvement efforts are presented. After local quality improvement efforts, wound complication rates were reduced at the Salt Lake City Veterans Affairs medical center by 47%, surgical site infections in patients undergoing intraabdominal surgery were reduced at the University of Virginia by 36%, and urinary tract infections in vascular patients were reduced at the Massachusetts General Hospital by 74%. At some sites participating in the NSQIP, notably the Massachusetts General Hospital and the University of Virginia, the NSQIP has served as the basis for surgical service-wide outcomes research and quality improvement programs. The NSQIP not only provides participating sites with risk-adjusted surgical mortality and morbidity outcomes semiannually, but the clinically rich NSQIP database can also serve as a catalyst for local quality improvement programs to significantly reduce postoperative adverse event rates.

Multivariate Bias Correction Procedures for Improving Water Quality Predictions from the SWAT Model

NASA Astrophysics Data System (ADS)

Arumugam, S.; Libera, D.

2017-12-01

Water quality observations are usually not available on a continuous basis for longer than 1-2 years at a time over a decadal period given the labor requirements making calibrating and validating mechanistic models difficult. Further, any physical model predictions inherently have bias (i.e., under/over estimation) and require post-simulation techniques to preserve the long-term mean monthly attributes. This study suggests a multivariate bias-correction technique and compares to a common technique in improving the performance of the SWAT model in predicting daily streamflow and TN loads across the southeast based on split-sample validation. The approach is a dimension reduction technique, canonical correlation analysis (CCA) that regresses the observed multivariate attributes with the SWAT model simulated values. The common approach is a regression based technique that uses an ordinary least squares regression to adjust model values. The observed cross-correlation between loadings and streamflow is better preserved when using canonical correlation while simultaneously reducing individual biases. Additionally, canonical correlation analysis does a better job in preserving the observed joint likelihood of observed streamflow and loadings. These procedures were applied to 3 watersheds chosen from the Water Quality Network in the Southeast Region; specifically, watersheds with sufficiently large drainage areas and number of observed data points. The performance of these two approaches are compared for the observed period and over a multi-decadal period using loading estimates from the USGS LOADEST model. Lastly, the CCA technique is applied in a forecasting sense by using 1-month ahead forecasts of P & T from ECHAM4.5 as forcings in the SWAT model. Skill in using the SWAT model for forecasting loadings and streamflow at the monthly and seasonal timescale is also discussed.

Incentives for cooperation in quality improvement among hospitals--the impact of the reimbursement system.

PubMed

Kesteloot, K; Voet, N

1998-12-01

Up to now, few analytical models have studied the incentives for cooperation in quality improvements among hospitals. Only those dealing with reimbursement systems have shown that, from the point of view of individual or competing hospitals, retrospective reimbursement is more likely to encourage quality improvements than prospective financing, while the reverse holds for efficiency improvements. This paper studies the incentives to improve the quality of hospital care, in an analytical model, taking into account the possibility of cooperative agreements, price besides non-price (quality) competition and quality improvements that may simultaneously increase demand, increase or reduce costs and spill over to rival hospitals. In this setting quality improvement efforts rise with the rate of prospective reimbursement, while the impact of the rate of retrospective reimbursement is ambiguous, but likely to be negative for quality improvements that are highly cost-reducting and create large spillovers. Cooperation may lead to more or less quality improvement than non-cooperative conduct, depending on the magnitude of spillovers and the degree of product market competition, relative to the net effect of quality on profits and the share of costs that is reimbursed retrospectively. Finally, the stability of cooperative agreements, supported by grim trigger strategies, is shown to depend upon exactly the opposite interaction between these factors.

DeepQA: improving the estimation of single protein model quality with deep belief networks.

PubMed

Cao, Renzhi; Bhattacharya, Debswapna; Hou, Jie; Cheng, Jianlin

2016-12-05

Protein quality assessment (QA) useful for ranking and selecting protein models has long been viewed as one of the major challenges for protein tertiary structure prediction. Especially, estimating the quality of a single protein model, which is important for selecting a few good models out of a large model pool consisting of mostly low-quality models, is still a largely unsolved problem. We introduce a novel single-model quality assessment method DeepQA based on deep belief network that utilizes a number of selected features describing the quality of a model from different perspectives, such as energy, physio-chemical characteristics, and structural information. The deep belief network is trained on several large datasets consisting of models from the Critical Assessment of Protein Structure Prediction (CASP) experiments, several publicly available datasets, and models generated by our in-house ab initio method. Our experiments demonstrate that deep belief network has better performance compared to Support Vector Machines and Neural Networks on the protein model quality assessment problem, and our method DeepQA achieves the state-of-the-art performance on CASP11 dataset. It also outperformed two well-established methods in selecting good outlier models from a large set of models of mostly low quality generated by ab initio modeling methods. DeepQA is a useful deep learning tool for protein single model quality assessment and protein structure prediction. The source code, executable, document and training/test datasets of DeepQA for Linux is freely available to non-commercial users at http://cactus.rnet.missouri.edu/DeepQA/ .

Innovative Oncology Care Models Improve End-Of-Life Quality, Reduce Utilization And Spending.

PubMed

Colligan, Erin Murphy; Ewald, Erin; Ruiz, Sarah; Spafford, Michelle; Cross-Barnet, Caitlin; Parashuram, Shriram

2017-03-01

Three models that received Health Care Innovation Awards from the Centers for Medicare and Medicaid Services (CMS) aimed to reduce the cost and use of health care services and improve the quality of care for Medicare beneficiaries with cancer. Each emphasized a different principle: the oncology medical home, patient navigation, or palliative care. Comparing participants in each model who died during the study period to matched comparators, we found that the oncology medical home and patient navigation models were associated with decreased costs in the last ninety days of life ($3,346 and $5,824 per person, respectively) and fewer hospitalizations in the last thirty days of life (fifty-seven and forty per 1,000 people, respectively). The patient navigation model was also associated with fewer emergency department visits in the last thirty days of life and increased hospice enrollment in the last two weeks of life. These promising results can inform new initiatives for cancer patients, such as the CMS Oncology Care Model. Project HOPE—The People-to-People Health Foundation, Inc.

Do Clinical Practice Guidelines Improve Quality?

PubMed

Baldassari, Cristina M

2017-07-01

Controversy exists surrounding how to best define and assess quality in the health care setting. Clinical practice guidelines (CPGs) have been developed to improve the quality of medical care by highlighting key clinical recommendations based on recent evidence. However, data linking CPGs to improvements in outcomes in otolaryngology are lacking. Numerous barriers contribute to difficulties in translating CPGs to improvements in quality. Future initiatives are needed to improve CPG adherence and define the impact of CPG recommendations on the quality of otolaryngologic care provided to our patients.

AIR QUALITY MODELING AT NEIGHBORHOOD SCALES TO IMPROVE HUMAN EXPOSURE ASSESSMENT

EPA Science Inventory

Air quality modeling is an integral component of risk assessment and of subsequent development of effective and efficient management of air quality. Urban areas introduce of fresh sources of pollutants into regional background producing significant spatial variability of the co...

How Improving Practice Relationships Among Clinicians and Nonclinicians Can Improve Quality in Primary Care

PubMed Central

Lanham, Holly J.; McDaniel, Reuben R.; Crabtree, Benjamin F.; Miller, William L.; Stange, Kurt C.; Tallia, Alfred F.; Nutting, Paul A.

2010-01-01

Background Understanding the role of relationships in health care organizations (HCOs) offers opportunities for shaping health care delivery. When quality is treated as a property arising from the relationships within HCOs, then different contributors of quality can be investigated and more effective strategies for improvement can be developed. Methods Data were drawn from four large National Institutes of Health (NIH)–funded studies, and an iterative analytic strategy and a grounded theory approach were used to understand the characteristics of relationships within primary care practices. This multimethod approach amassed rich and comparable data sets in all four studies, which were all aimed at primary care practice improvement. The broad range of data included direct observation of practices during work activities and of patient-clinician interactions, in-depth interviews with physicians and other key staff members, surveys, structured checklists of office environments, and chart reviews. Analyses focused on characteristics of relationships in practices that exhibited a range of success in achieving practice improvement. Complex adaptive systems theory informed these analyses. Findings Trust, mindfulness, heedfulness, respectful interaction, diversity, social/task relatedness, and rich/lean communication were identified as important in practice improvement. A model of practice relationships was developed to describe how these characteristics work together and interact with reflection, sensemaking, and learning to influence practice-level quality outcomes. Discussion Although this model of practice relationships was developed from data collected in primary care practices, which differ from other HCOs in some important ways, the ideas that quality is emergent and that relationships influence quality of care are universally important for all HCOs and all medical specialties. PMID:19769206

Budget Impact of a Comprehensive Nutrition-Focused Quality Improvement Program for Malnourished Hospitalized Patients

PubMed Central

Sulo, Suela; Feldstein, Josh; Partridge, Jamie; Schwander, Bjoern; Sriram, Krishnan; Summerfelt, Wm. Thomas

2017-01-01

Background Nutrition interventions can alleviate the burden of malnutrition by improving patient outcomes; however, evidence on the economic impact of medical nutrition intervention remains limited. A previously published nutrition-focused quality improvement program targeting malnourished hospitalized patients showed that screening patients with a validated screening tool at admission, rapidly administering oral nutritional supplements, and educating patients on supplement adherence result in significant reductions in 30-day unplanned readmissions and hospital length of stay. Objectives To assess the potential cost-savings associated with decreased 30-day readmissions and hospital length of stay in malnourished inpatients through a nutrition-focused quality improvement program using a web-based budget impact model, and to demonstrate the clinical and fiscal value of the intervention. Methods The reduction in readmission rate and length of stay for 1269 patients enrolled in the quality improvement program (between October 13, 2014, and April 2, 2015) were compared with the pre–quality improvement program baseline and validation cohorts (4611 patients vs 1319 patients, respectively) to calculate potential cost-savings as well as to inform the design of the budget impact model. Readmission rate and length-of-stay reductions were calculated by determining the change from baseline to post–quality improvement program as well as the difference between the validation cohort and the post–quality improvement program, respectively. Results As a result of improved health outcomes for the treated patients, the nutrition-focused quality improvement program led to a reduction in 30-day hospital readmissions and length of stay. The avoided hospital readmissions and reduced number of days in the hospital for the patients in the quality improvement program resulted in cost-savings of $1,902,933 versus the pre–quality improvement program baseline cohort, and $4

Budget Impact of a Comprehensive Nutrition-Focused Quality Improvement Program for Malnourished Hospitalized Patients.

PubMed

Sulo, Suela; Feldstein, Josh; Partridge, Jamie; Schwander, Bjoern; Sriram, Krishnan; Summerfelt, Wm Thomas

2017-07-01

Nutrition interventions can alleviate the burden of malnutrition by improving patient outcomes; however, evidence on the economic impact of medical nutrition intervention remains limited. A previously published nutrition-focused quality improvement program targeting malnourished hospitalized patients showed that screening patients with a validated screening tool at admission, rapidly administering oral nutritional supplements, and educating patients on supplement adherence result in significant reductions in 30-day unplanned readmissions and hospital length of stay. To assess the potential cost-savings associated with decreased 30-day readmissions and hospital length of stay in malnourished inpatients through a nutrition-focused quality improvement program using a web-based budget impact model, and to demonstrate the clinical and fiscal value of the intervention. The reduction in readmission rate and length of stay for 1269 patients enrolled in the quality improvement program (between October 13, 2014, and April 2, 2015) were compared with the pre-quality improvement program baseline and validation cohorts (4611 patients vs 1319 patients, respectively) to calculate potential cost-savings as well as to inform the design of the budget impact model. Readmission rate and length-of-stay reductions were calculated by determining the change from baseline to post-quality improvement program as well as the difference between the validation cohort and the post-quality improvement program, respectively. As a result of improved health outcomes for the treated patients, the nutrition-focused quality improvement program led to a reduction in 30-day hospital readmissions and length of stay. The avoided hospital readmissions and reduced number of days in the hospital for the patients in the quality improvement program resulted in cost-savings of $1,902,933 versus the pre-quality improvement program baseline cohort, and $4,896,758 versus the pre-quality improvement program in the

Improving Air Quality Forecasts with AURA Observations

NASA Technical Reports Server (NTRS)

Newchurch, M. J.; Biazer, A.; Khan, M.; Koshak, W. J.; Nair, U.; Fuller, K.; Wang, L.; Parker, Y.; Williams, R.; Liu, X.

2008-01-01

Past studies have identified model initial and boundary conditions as sources of reducible errors in air-quality simulations. In particular, improving the initial condition improves the accuracy of short-term forecasts as it allows for the impact of local emissions to be realized by the model and improving boundary conditions improves long range transport through the model domain, especially in recirculating anticyclones. During the August 2006 period, we use AURA/OMI ozone measurements along with MODIS and CALIPSO aerosol observations to improve the initial and boundary conditions of ozone and Particulate Matter. Assessment of the model by comparison of the control run and satellite assimilation run to the IONS06 network of ozonesonde observations, which comprise the densest ozone sounding campaign ever conducted in North America, to AURA/TES ozone profile measurements, and to the EPA ground network of ozone and PM measurements will show significant improvement in the CMAQ calculations that use AURA initial and boundary conditions. Further analyses of lightning occurrences from ground and satellite observations and AURA/OMI NO2 column abundances will identify the lightning NOx signal evident in OMI measurements and suggest pathways for incorporating the lightning and NO2 data into the CMAQ simulations.

Quality improvement and emerging global health priorities

PubMed Central

Mensah Abrampah, Nana; Syed, Shamsuzzoha Babar; Hirschhorn, Lisa R; Nambiar, Bejoy; Iqbal, Usman; Garcia-Elorrio, Ezequiel; Chattu, Vijay Kumar; Devnani, Mahesh; Kelley, Edward

2018-01-01

Abstract Quality improvement approaches can strengthen action on a range of global health priorities. Quality improvement efforts are uniquely placed to reorient care delivery systems towards integrated people-centred health services and strengthen health systems to achieve Universal Health Coverage (UHC). This article makes the case for addressing shortfalls of previous agendas by articulating the critical role of quality improvement in the Sustainable Development Goal era. Quality improvement can stimulate convergence between health security and health systems; address global health security priorities through participatory quality improvement approaches; and improve health outcomes at all levels of the health system. Entry points for action include the linkage with antimicrobial resistance and the contentious issue of the health of migrants. The work required includes focussed attention on the continuum of national quality policy formulation, implementation and learning; alongside strengthening the measurement-improvement linkage. Quality improvement plays a key role in strengthening health systems to achieve UHC. PMID:29873793

Putting people into water quality modelling.

NASA Astrophysics Data System (ADS)

Strickert, G. E.; Hassanzadeh, E.; Noble, B.; Baulch, H. M.; Morales-Marin, L. A.; Lindenschmidt, K. E.

2017-12-01

Water quality in the Qu'Appelle River Basin, Saskatchewan is under pressure due to nutrient pollution entering the river system from major cities, industrial zones and agricultural areas. Among these stressors, agricultural activities are basin-wide; therefore, they are the largest non-point source of water pollution in this region. The dynamics of agricultural impacts on water quality are complex and stem from decisions and activities of two distinct stakeholder groups, namely grain farmers and cattle producers, which have different business plans, values, and attitudes towards water quality. As a result, improving water quality in this basin requires engaging with stakeholders to: (1) understand their perspectives regarding a range of agricultural Beneficial Management Practices (BMPs) that can improve water quality in the region, (2) show them the potential consequences of their selected BMPs, and (3) work with stakeholders to better understand the barriers and incentives to implement the effective BMPs. In this line, we held a series of workshops in the Qu'Appelle River Basin with both groups of stakeholders to understand stakeholders' viewpoints about alternative agricultural BMPs and their impact on water quality. Workshop participants were involved in the statement sorting activity (Q-sorts), group discussions, as well as mapping activity. The workshop outcomes show that stakeholder had four distinct viewpoints about the BMPs that can improve water quality, i.e., flow and erosion control, fertilizer management, cattle site management, as well as mixed cattle and wetland management. Accordingly, to simulate the consequences of stakeholder selected BMPs, a conceptual water quality model was developed using System Dynamics (SD). The model estimates potential changes in water quality at the farm, tributary and regional scale in the Qu'Appelle River Basin under each and/or combination of stakeholder selected BMPs. The SD model was then used for real

An intraorganizational model for developing and spreading quality improvement innovations.

PubMed

Kellogg, Katherine C; Gainer, Lindsay A; Allen, Adrienne S; OʼSullivan, Tatum; Singer, Sara J

Recent policy reforms encourage quality improvement (QI) innovations in primary care, but practitioners lack clear guidance regarding spread inside organizations. We designed this study to identify how large organizations can facilitate intraorganizational spread of QI innovations. We conducted ethnographic observation and interviews in a large, multispecialty, community-based medical group that implemented three QI innovations across 10 primary care sites using a new method for intraorganizational process development and spread. We compared quantitative outcomes achieved through the group's traditional versus new method, created a process model describing the steps in the new method, and identified barriers and facilitators at each step. The medical group achieved substantial improvement using its new method of intraorganizational process development and spread of QI innovations: standard work for rooming and depression screening, vaccine error rates and order compliance, and Pap smear error rates. Our model details nine critical steps for successful intraorganizational process development (set priorities, assess the current state, develop the new process, and measure and refine) and spread (develop support, disseminate information, facilitate peer-to-peer training, reinforce, and learn and adapt). Our results highlight the importance of utilizing preexisting organizational structures such as established communication channels, standardized roles, common workflows, formal authority, and performance measurement and feedback systems when developing and spreading QI processes inside an organization. In particular, we detail how formal process advocate positions in each site for each role can facilitate the spread of new processes. Successful intraorganizational spread is possible and sustainable. Developing and spreading new QI processes across sites inside an organization requires creating a shared understanding of the necessary process steps, considering the

An intraorganizational model for developing and spreading quality improvement innovations

PubMed Central

Kellogg, Katherine C.; Gainer, Lindsay A.; Allen, Adrienne S.; O'Sullivan, Tatum; Singer, Sara J.

2017-01-01

Background: Recent policy reforms encourage quality improvement (QI) innovations in primary care, but practitioners lack clear guidance regarding spread inside organizations. Purpose: We designed this study to identify how large organizations can facilitate intraorganizational spread of QI innovations. Methodology/Approach: We conducted ethnographic observation and interviews in a large, multispecialty, community-based medical group that implemented three QI innovations across 10 primary care sites using a new method for intraorganizational process development and spread. We compared quantitative outcomes achieved through the group’s traditional versus new method, created a process model describing the steps in the new method, and identified barriers and facilitators at each step. Findings: The medical group achieved substantial improvement using its new method of intraorganizational process development and spread of QI innovations: standard work for rooming and depression screening, vaccine error rates and order compliance, and Pap smear error rates. Our model details nine critical steps for successful intraorganizational process development (set priorities, assess the current state, develop the new process, and measure and refine) and spread (develop support, disseminate information, facilitate peer-to-peer training, reinforce, and learn and adapt). Our results highlight the importance of utilizing preexisting organizational structures such as established communication channels, standardized roles, common workflows, formal authority, and performance measurement and feedback systems when developing and spreading QI processes inside an organization. In particular, we detail how formal process advocate positions in each site for each role can facilitate the spread of new processes. Practice Implications: Successful intraorganizational spread is possible and sustainable. Developing and spreading new QI processes across sites inside an organization requires creating

Quality-based financial incentives in health care: can we improve quality by paying for it?

PubMed

Conrad, Douglas A; Perry, Lisa

2009-01-01

This article asks whether financial incentives can improve the quality of health care. A conceptual framework drawn from microeconomics, agency theory, behavioral economics, and cognitive psychology motivates a set of propositions about incentive effects on clinical quality. These propositions are evaluated through a synthesis of extant peer-reviewed empirical evidence. Comprehensive financial incentives--balancing rewards and penalties; blending structure, process, and outcome measures; emphasizing continuous, absolute performance standards; tailoring the size of incremental rewards to increasing marginal costs of quality improvement; and assuring certainty, frequency, and sustainability of incentive payoffs--offer the prospect of significantly enhancing quality beyond the modest impacts of prevailing pay-for-performance (P4P) programs. Such organizational innovations as the primary care medical home and accountable health care organizations are expected to catalyze more powerful quality incentive models: risk- and quality-adjusted capitation, episode of care payments, and enhanced fee-for-service payments for quality dimensions (e.g., prevention) most amenable to piece-rate delivery.

Improving of local ozone forecasting by integrated models.

PubMed

Gradišar, Dejan; Grašič, Boštjan; Božnar, Marija Zlata; Mlakar, Primož; Kocijan, Juš

2016-09-01

This paper discuss the problem of forecasting the maximum ozone concentrations in urban microlocations, where reliable alerting of the local population when thresholds have been surpassed is necessary. To improve the forecast, the methodology of integrated models is proposed. The model is based on multilayer perceptron neural networks that use as inputs all available information from QualeAria air-quality model, WRF numerical weather prediction model and onsite measurements of meteorology and air pollution. While air-quality and meteorological models cover large geographical 3-dimensional space, their local resolution is often not satisfactory. On the other hand, empirical methods have the advantage of good local forecasts. In this paper, integrated models are used for improved 1-day-ahead forecasting of the maximum hourly value of ozone within each day for representative locations in Slovenia. The WRF meteorological model is used for forecasting meteorological variables and the QualeAria air-quality model for gas concentrations. Their predictions, together with measurements from ground stations, are used as inputs to a neural network. The model validation results show that integrated models noticeably improve ozone forecasts and provide better alert systems.

The maturing of the quality improvement paradigm in the SEL

NASA Technical Reports Server (NTRS)

Basili, Victor R.

1993-01-01

The Software Engineering Laboratory uses a paradigm for improving the software process and product, called the quality improvement paradigm. This paradigm has evolved over the past 18 years, along with our software development processes and product. Since 1976, when we first began the SEL, we have learned a great deal about improving the software process and product, making a great many mistakes along the way. Quality improvement paradigm, as it is currently defined, can be broken up into six steps: characterize the current project and its environment with respect to the appropriate models and metrics; set the quantifiable goals for successful project performance and improvement; choose the appropriate process model and supporting methods and tools for this project; execute the processes, construct the products, and collect, validate, and analyze the data to provide real-time feedback for corrective action; analyze the data to evaluate the current practices, determine problems, record findings, and make recommendations for future project improvements; and package the experience gained in the form of updated and refined models and other forms of structured knowledge gained from this and prior projects and save it in an experience base to be reused on future projects.

Making quality improvement programs more effective.

PubMed

Shaw-Taylor, Yoku

2014-01-01

In the past 25 years, and as recent as 2011, all external evaluations of the Quality Improvement Organization (QIO) Program have found its impact to be small or difficult to discern. The QIO program costs about $200 million on average to administer each year to improve quality of healthcare for people of 65 years or older. The program was created to address questionable quality of care. QIOs review how care is provided based on performance measures. The paper aims to discuss these issues. In 2012, the author supported the production of quarterly reports and reviewed internal monitoring and evaluation protocols of the program. The task also required reviewing all previous program evaluations. The task involved many conversations about the complexities of the program, why impact is difficult to discern and possible ways for eventual improvement. Process flow charts were created to simulate the data life cycle and discrete event models were created based on the sequence of data collection and reporting to identify gaps in data flow. The internal evaluation uncovered data gaps within the program. The need for a system of specification rules for data conceptualization, collection, distribution, discovery, analysis and repurposing is clear. There were data inconsistencies and difficulty of integrating data from one instance of measurement to the next. The lack of good and reliable data makes it difficult to discern true impact. The prescription is for a formal data policy or data governance structure to integrate and document all aspects of the data life cycle. The specification rules for governance are exemplified by the Data Documentation Initiative and the requirements published by the Data Governance Institute. The elements are all in place for a solid foundation of the data governance structure. These recommendations will increase the value of program data. The model specifies which agency units must be included in the governance authority and the data team. The

COMMUNITY MULTISCALE AIR QUALITY MODELING SYSTEM (ONE ATMOSPHERE)

EPA Science Inventory

This task supports ORD's strategy by providing responsive technical support of EPA's mission and provides credible state of the art air quality models and guidance. This research effort is to develop and improve the Community Multiscale Air Quality (CMAQ) modeling system, a mu...

42 CFR 422.152 - Quality improvement program.

Code of Federal Regulations, 2011 CFR

2011-10-01

..., quality of life indicators, depression scales, or chronic disease outcomes). (iii) Staff implementation of... 42 Public Health 3 2011-10-01 2011-10-01 false Quality improvement program. 422.152 Section 422... (CONTINUED) MEDICARE PROGRAM MEDICARE ADVANTAGE PROGRAM Quality Improvement § 422.152 Quality improvement...

42 CFR 422.152 - Quality improvement program.

Code of Federal Regulations, 2010 CFR

2010-10-01

..., psychosocial, or clinical domains (for example, quality of life indicators, depression scales, or chronic... 42 Public Health 3 2010-10-01 2010-10-01 false Quality improvement program. 422.152 Section 422... (CONTINUED) MEDICARE PROGRAM MEDICARE ADVANTAGE PROGRAM Quality Improvement § 422.152 Quality improvement...

Statewide Quality Improvement Initiative to Reduce Early Elective Deliveries and Improve Birth Registry Accuracy.

PubMed

Kaplan, Heather C; King, Eileen; White, Beth E; Ford, Susan E; Fuller, Sandra; Krew, Michael A; Marcotte, Michael P; Iams, Jay D; Bailit, Jennifer L; Bouchard, Jo M; Friar, Kelly; Lannon, Carole M

2018-04-01

To evaluate the success of a quality improvement initiative to reduce early elective deliveries at less than 39 weeks of gestation and improve birth registry data accuracy rapidly and at scale in Ohio. Between February 2013 and March 2014, participating hospitals were involved in a quality improvement initiative to reduce early elective deliveries at less than 39 weeks of gestation and improve birth registry data. This initiative was designed as a learning collaborative model (group webinars and a single face-to-face meeting) and included individual quality improvement coaching. It was implemented using a stepped wedge design with hospitals divided into three balanced groups (waves) participating in the initiative sequentially. Birth registry data were used to assess hospital rates of nonmedically indicated inductions at less than 39 weeks of gestation. Comparisons were made between groups participating and those not participating in the initiative at two time points. To measure birth registry accuracy, hospitals conducted monthly audits comparing birth registry data with the medical record. Associations were assessed using generalized linear repeated measures models accounting for time effects. Seventy of 72 (97%) eligible hospitals participated. Based on birth registry data, nonmedically indicated inductions at less than 39 weeks of gestation declined in all groups with implementation (wave 1: 6.2-3.2%, P<.001; wave 2: 4.2-2.5%, P=.04; wave 3: 6.8-3.7%, P=.002). When waves 1 and 2 were participating in the initiative, they saw significant decreases in rates of early elective deliveries as compared with wave 3 (control; P=.018). All waves had significant improvement in birth registry accuracy (wave 1: 80-90%, P=.017; wave 2: 80-100%, P=.002; wave 3: 75-100%, P<.001). A quality improvement initiative enabled statewide spread of change strategies to decrease early elective deliveries and improve birth registry accuracy over 14 months and could be used for rapid

Improving Quality of Care in Patients with Liver Cirrhosis.

PubMed

Saberifiroozi, Mehdi

2017-10-01

Liver cirrhosis is a major chronic disease in the field of digestive diseases. It causes more than one million deaths per year. Despite established evidence based guidelines, the adherence to standard of care or quality indicators are variable. Complete adherence to the recommendations of guidelines is less than 50%. To improve the quality of care in patients with cirrhosis, we need a more holistic view. Because of high rate of death due to cardiovascular disease and neoplasms, the care of comorbid conditions and risk factors such as smoking, hypertension, high blood sugar or cholesterol, would be important in addition to the management of primary liver disease. Despite a holistic multidisciplinary approach for this goal, the management of such patients should be patient centered and individualized. The diagnosis of underlying etiology and its appropriate treatment is the most important step. Definition and customizing the quality indicators for quality measure in patients are needed. Because most suggested quality indicators are designed for measuring the quality of care in decompensated liver cirrhosis, we need special quality indicators for compensated and milder forms of chronic liver disease as well. Training the patients for participation in their own management, design of special clinics with dedicated health professionals in a form of chronic disease model, is suggested for improvement of quality of care in this group of patients. Special day care centers by a dedicated gastroenterologist and a trained nurse may be a practical model for better management of such patients.

Narrative methods in quality improvement research

PubMed Central

Greenhalgh, T; Russell, J; Swinglehurst, D

2005-01-01



 This paper reviews and critiques the different approaches to the use of narrative in quality improvement research. The defining characteristics of narrative are chronology (unfolding over time); emplotment (the literary juxtaposing of actions and events in an implicitly causal sequence); trouble (that is, harm or the risk of harm); and embeddedness (the personal story nests within a particular social, historical and organisational context). Stories are about purposeful action unfolding in the face of trouble and, as such, have much to offer quality improvement researchers. But the quality improvement report (a story about efforts to implement change), which is common, must be distinguished carefully from narrative based quality improvement research (focused systematic enquiry that uses narrative methods to generate new knowledge), which is currently none. We distinguish four approaches to the use of narrative in quality improvement research—narrative interview; naturalistic story gathering; organisational case study; and collective sense-making—and offer a rationale, describe how data can be collected and analysed, and discuss the strengths and limitations of each using examples from the quality improvement literature. Narrative research raises epistemological questions about the nature of narrative truth (characterised by sense-making and emotional impact rather than scientific objectivity), which has implications for how rigour should be defined (and how it might be achieved) in this type of research. We offer some provisional guidance for distinguishing high quality narrative research in a quality improvement setting from other forms of narrative account such as report, anecdote, and journalism. PMID:16326792

Moving up the Ladder: How Do States Deliver Quality Improvement Supports within Their Quality Rating and Improvement Systems? Brief

ERIC Educational Resources Information Center

Holod, Aleksandra; Faria, Ann-Marie; Weinberg, Emily; Howard, Eboni

2015-01-01

As national attention has increasingly focused on the potential for high-quality early childhood education (ECE) to improve children's school readiness, states have developed quality rating and improvement systems (QRISs) to document the quality of ECE programs, support systematic quality improvement, and provide clear information to families…

Quality improvement prototype: Johnson Space Center, National Aeronautics and Space Administration

NASA Technical Reports Server (NTRS)

1990-01-01

The Johnson Space Flight Center was recognized by the Office of Management and Budget as a model for its high standards of quality. Included are an executive summary of the center's activities, an organizational overview, techniques for improving quality, the status of the quality effort and a listing of key personnel.

Using Quality Tools and Methodologies to Improve a Hospital's Quality Position.

PubMed

Branco, Daniel; Wicks, Angela M; Visich, John K

2017-01-01

The authors identify the quality tools and methodologies most frequently used by quality-positioned hospitals versus nonquality hospitals. Northeastern U.S. hospitals in both groups received a brief, 12-question survey. The authors found that 93.75% of the quality hospitals and 81.25% of the nonquality hospitals used some form of process improvement methodologies. However, there were significant differences between the groups regarding the impact of quality improvement initiatives on patients. The findings indicate that in quality hospitals the use of quality improvement initiatives had a significantly greater positive impact on patient satisfaction and patient outcomes when compared to nonquality hospitals.

The quality improvement strategy.

PubMed

Burns, L R; Beach, L R

1994-01-01

To prepare for managed competition, many hospitals now focus on service quality as a means to improve their competitive position. To aid in decisions about where best to direct limited resources, managers need physician feedback about how the hospital's services compare with its competitors' services (competitive advantage) and about the degree to which the hospital's services fall short of, meet, or exceed physicians' expectations (customer satisfaction). This article describes a strategy for acquiring information about competitive advantage and customer satisfaction and for using the information to identify optimal service improvement opportunities. It then presents a step-by-step application of the Quality Improvement Strategy (QIS) for a large urban hospital.

Global quality imaging: improvement actions.

PubMed

Lau, Lawrence S; Pérez, Maria R; Applegate, Kimberly E; Rehani, Madan M; Ringertz, Hans G; George, Robert

2011-05-01

Workforce shortage, workload increase, workplace changes, and budget challenges are emerging issues around the world, which could place quality imaging at risk. It is important for imaging stakeholders to collaborate, ensure patient safety, improve the quality of care, and address these issues. There is no single panacea. A range of improvement measures, strategies, and actions are required. Examples of improvement actions supporting the 3 quality measures are described under 5 strategies: conducting research, promoting awareness, providing education and training, strengthening infrastructure, and implementing policies. The challenge is to develop long-term, cost-effective, system-based improvement actions that will bring better outcomes and underpin a sustainable future for quality imaging. In an imaging practice, these actions will result in selecting the right procedure (justification), using the right dose (optimization), and preventing errors along the patient journey. To realize this vision and implement these improvement actions, a range of expertise and adequate resources are required. Stakeholders should collaborate and work together. In today's globalized environment, collaboration is strength and provides synergy to achieve better outcomes and greater success. Copyright © 2011 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Sustainability in the AAP Bronchiolitis Quality Improvement Project.

PubMed

Shadman, Kristin A; Ralston, Shawn L; Garber, Matthew D; Eickhoff, Jens; Mussman, Grant M; Walley, Susan C; Rice-Conboy, Elizabeth; Coller, Ryan J

2017-11-01

Adherence to American Academy of Pediatrics (AAP) bronchiolitis clinical practice guideline recommendations improved significantly through the AAP's multiinstitutional collaborative, the Bronchiolitis Quality Improvement Project (BQIP). We assessed sustainability of improvements at participating institutions for 1 year following completion of the collaborative. Twenty-one multidisciplinary hospital-based teams provided monthly data for key inpatient bronchiolitis measures during baseline and intervention bronchiolitis seasons. Nine sites provided data in the season following completion of the collaborative. Encounters included children younger than 24 months who were hospitalized for bronchiolitis without comorbid chronic illness, prematurity, or intensive care. Changes between baseline-, intervention-, and sustainability-season data were assessed using generalized linear mixed-effects models with site-specific random effects. Differences between hospital characteristics, baseline performance, and initial improvement between sites that did and did not participate in the sustainability season were compared. A total of 2275 discharges were reviewed, comprising 995 baseline, 877 intervention, and 403 sustainability- season encounters. Improvements in all key bronchiolitis quality measures achieved during the intervention season were maintained during the sustainability season, and orders for intermittent pulse oximetry increased from 40.6% (95% confidence interval [CI], 22.8-61.1) to 79.2% (95% CI, 58.0- 91.3). Sites that did and did not participate in the sustainability season had similar characteristics. BQIP participating sites maintained improvements in key bronchiolitis quality measures for 1 year following the project's completion. This approach, which provided an evidence-based best-practice toolkit while building the quality-improvement capacity of local interdisciplinary teams, may support performance gains that persist beyond the active phase of the

The SQUIRE (Standards for QUality Improvement Reporting Excellence) guidelines for quality improvement reporting: explanation and elaboration

PubMed Central

Ogrinc, G; Mooney, S E; Estrada, C; Foster, T; Goldmann, D; Hall, L W; Huizinga, M M; Liu, S K; Mills, P; Neily, J; Nelson, W; Pronovost, P J; Provost, L; Rubenstein, L V; Speroff, T; Splaine, M; Thomson, R; Tomolo, A M; Watts, B

2008-01-01

As the science of quality improvement in health care advances, the importance of sharing its accomplishments through the published literature increases. Current reporting of improvement work in health care varies widely in both content and quality. It is against this backdrop that a group of stakeholders from a variety of disciplines has created the Standards for QUality Improvement Reporting Excellence, which we refer to as the SQUIRE publication guidelines or SQUIRE statement. The SQUIRE statement consists of a checklist of 19 items that authors need to consider when writing articles that describe formal studies of quality improvement. Most of the items in the checklist are common to all scientific reporting, but virtually all of them have been modified to reflect the unique nature of medical improvement work. This “Explanation and Elaboration” document (E & E) is a companion to the SQUIRE statement. For each item in the SQUIRE guidelines the E & E document provides one or two examples from the published improvement literature, followed by an analysis of the ways in which the example expresses the intent of the guideline item. As with the E & E documents created to accompany other biomedical publication guidelines, the purpose of the SQUIRE E & E document is to assist authors along the path from completion of a quality improvement project to its publication. The SQUIRE statement itself, this E & E document, and additional information about reporting improvement work can be found at http://www.squire-statement.org. PMID:18836062

Practical Approaches to Quality Improvement for Radiologists.

PubMed

Kelly, Aine Marie; Cronin, Paul

2015-10-01

Continuous quality improvement is a fundamental attribute of high-performing health care systems. Quality improvement is an essential component of health care, with the current emphasis on adding value. It is also a regulatory requirement, with reimbursements increasingly being linked to practice performance metrics. Practice quality improvement efforts must be demonstrated for credentialing purposes and for certification of radiologists in practice. Continuous quality improvement must occur for radiologists to remain competitive in an increasingly diverse health care market. This review provides an introduction to the main approaches available to undertake practice quality improvement, which will be useful for busy radiologists. Quality improvement plays multiple roles in radiology services, including ensuring and improving patient safety, providing a framework for implementing and improving processes to increase efficiency and reduce waste, analyzing and depicting performance data, monitoring performance and implementing change, enabling personnel assessment and development through continued education, and optimizing customer service and patient outcomes. The quality improvement approaches and underlying principles overlap, which is not surprising given that they all align with good patient care. The application of these principles to radiology practices not only benefits patients but also enhances practice performance through promotion of teamwork and achievement of goals. © RSNA, 2015.

Communication and effectiveness in a US nursing home quality-improvement collaborative.

PubMed

Arling, Priscilla A; Abrahamson, Kathleen; Miech, Edward J; Inui, Thomas S; Arling, Greg

2014-09-01

In this study, we explored the relationship between changes in resident health outcomes, practitioner communication patterns, and practitioner perceptions of group effectiveness within a quality-improvement collaborative of nursing home clinicians. Survey and interview data were collected from nursing home clinicians participating in a quality-improvement collaborative. Quality-improvement outcomes were evaluated using US Federal and State minimum dataset measures. Models were specified evaluating the relationships between resident outcomes, staff perceptions of communication patterns, and staff perceptions of collaborative effectiveness. Interview data provided deeper understanding of the quantitative findings. Reductions in fall rates were highest in facilities where respondents experienced the highest levels of communication with collaborative members outside of scheduled meetings, and where respondents perceived that the collaborative kept them informed and provided new ideas. Clinicians observed that participation in a quality-improvement collaborative positively influenced the ability to share innovative ideas and expand the quality-improvement program within their nursing home. For practitioners, a high level of communication, both inside and outside of meetings, was key to making measurable gains in resident health outcomes. © 2013 Wiley Publishing Asia Pty Ltd.

[Financial incentives for quality improvement].

PubMed

Belicza, Eva; Evetovits, Tamás

2010-05-01

Policy makers and payers of health care services devote increasing attention to improve quality of services by incentivising health care providers. These--so called--pay for performance (P4P) programmes have so far been introduced in few countries only and evidence on their effectiveness is still scarce. Therefore we do not know yet which instruments of these programmes are most effective and efficient in improving quality. The P4P systems implemented so far in primary care and in integrated delivery systems use indicators for measurement of performance and the basis for rewards. These indicators are mostly process indicators, but there are some outcome indicators as well. The desired quality improvement effects are most likely to be achieved with programmes that provide seizable financial rewards and cover the extra cost of quality improvement efforts as well. Administration of the programme has to be fully transparent and clear to all involved. It has to be based on scientific evidence and supported with sufficient dedicated funding. Conducting pilot studies is a precondition for large scale implementation.

42 CFR 423.162 - Quality improvement organization activities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 42 Public Health 3 2011-10-01 2011-10-01 false Quality improvement organization activities. 423... and Quality Improvement Requirements § 423.162 Quality improvement organization activities. (a) General rule. Quality improvement organizations (QIOs) are required to offer providers, practitioners, and...

42 CFR 423.162 - Quality improvement organization activities.

Code of Federal Regulations, 2012 CFR

2012-10-01

... 42 Public Health 3 2012-10-01 2012-10-01 false Quality improvement organization activities. 423... Cost Control and Quality Improvement Requirements § 423.162 Quality improvement organization activities. (a) General rule. Quality improvement organizations (QIOs) are required to offer providers...

42 CFR 423.162 - Quality improvement organization activities.

Code of Federal Regulations, 2014 CFR

2014-10-01

... 42 Public Health 3 2014-10-01 2014-10-01 false Quality improvement organization activities. 423... Cost Control and Quality Improvement Requirements § 423.162 Quality improvement organization activities. (a) General rule. Quality improvement organizations (QIOs) are required to offer providers...

42 CFR 423.162 - Quality improvement organization activities.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 42 Public Health 3 2013-10-01 2013-10-01 false Quality improvement organization activities. 423... Cost Control and Quality Improvement Requirements § 423.162 Quality improvement organization activities. (a) General rule. Quality improvement organizations (QIOs) are required to offer providers...

Enhancing causal interpretations of quality improvement interventions

PubMed Central

Cable, G

2001-01-01

In an era of chronic resource scarcity it is critical that quality improvement professionals have confidence that their project activities cause measured change. A commonly used research design, the single group pre-test/post-test design, provides little insight into whether quality improvement interventions cause measured outcomes. A re-evaluation of a quality improvement programme designed to reduce the percentage of bilateral cardiac catheterisations for the period from January 1991 to October 1996 in three catheterisation laboratories in a north eastern state in the USA was performed using an interrupted time series design with switching replications. The accuracy and causal interpretability of the findings were considerably improved compared with the original evaluation design. Moreover, the re-evaluation provided tangible evidence in support of the suggestion that more rigorous designs can and should be more widely employed to improve the causal interpretability of quality improvement efforts. Evaluation designs for quality improvement projects should be constructed to provide a reasonable opportunity, given available time and resources, for causal interpretation of the results. Evaluators of quality improvement initiatives may infrequently have access to randomised designs. Nonetheless, as shown here, other very rigorous research designs are available for improving causal interpretability. Unilateral methodological surrender need not be the only alternative to randomised experiments. Key Words: causal interpretations; quality improvement; interrupted time series design; implementation fidelity PMID:11533426

Evaluation of quality improvement programmes

PubMed Central

Ovretveit, J; Gustafson, D

2002-01-01



 In response to increasing concerns about quality, many countries are carrying out large scale programmes which include national quality strategies, hospital programmes, and quality accreditation, assessment and review processes. Increasing amounts of resources are being devoted to these interventions, but do they ensure or improve quality of care? There is little research evidence as to their effectiveness or the conditions for maximum effectiveness. Reasons for the lack of evaluation research include the methodological challenges of measuring outcomes and attributing causality to these complex, changing, long term social interventions to organisations or health systems, which themselves are complex and changing. However, methods are available which can be used to evaluate these programmes and which can provide decision makers with research based guidance on how to plan and implement them. This paper describes the research challenges, the methods which can be used, and gives examples and guidance for future research. It emphasises the important contribution which such research can make to improving the effectiveness of these programmes and to developing the science of quality improvement. PMID:12486994

Continuous Quality Improvement: A Roadmap for Rural School Improvement.

ERIC Educational Resources Information Center

Kilmer, Lloyd C.

A case study documented a continuous quality improvement approach to school improvement in a rural Nebraska high school over a 2-year period. Data gathered from surveys, portfolios, pilot results, and test scores indicated that the changes during the 2-year period were not dramatic, but significant and consistent with the Total Quality literature.…

A continuous quality improvement project to improve the quality of cervical Papanicolaou smears.

PubMed

Burkman, R T; Ward, R; Balchandani, K; Kini, S

1994-09-01

To improve the quality of cervical Papanicolaou smears by continuous quality improvement techniques. The study used a Papanicolaou smear data base of over 200,000 specimens collected between June 1988 and December 1992. A team approach employing techniques such as process flow-charting, cause and effect diagrams, run charts, and a randomized trial of collection methods was used to evaluate potential causes of Papanicolaou smear reports with the notation "inadequate" or "less than optimal" due to too few or absent endocervical cells. Once a key process variable (method of collection) was identified, the proportion of Papanicolaou smears with inadequate or absent endocervical cells was determined before and after employment of a collection technique using a spatula and Cytobrush. We measured the rate of less than optimal Papanicolaou smears due to too few or absent endocervical cells. Before implementing the new collection technique fully by June 1990, the overall rate of less than optimal cervical Papanicolaou smears ranged from 20-25%; by December 1993, it had stabilized at about 10%. Continuous quality improvement can be used successfully to study a clinical process and implement change that will lead to improvement.

Process safety improvement--quality and target zero.

PubMed

Van Scyoc, Karl

2008-11-15

Process safety practitioners have adopted quality management principles in design of process safety management systems with positive effect, yet achieving safety objectives sometimes remain a distant target. Companies regularly apply tools and methods which have roots in quality and productivity improvement. The "plan, do, check, act" improvement loop, statistical analysis of incidents (non-conformities), and performance trending popularized by Dr. Deming are now commonly used in the context of process safety. Significant advancements in HSE performance are reported after applying methods viewed as fundamental for quality management. In pursuit of continual process safety improvement, the paper examines various quality improvement methods, and explores how methods intended for product quality can be additionally applied to continual improvement of process safety. Methods such as Kaizen, Poke yoke, and TRIZ, while long established for quality improvement, are quite unfamiliar in the process safety arena. These methods are discussed for application in improving both process safety leadership and field work team performance. Practical ways to advance process safety, based on the methods, are given.

Does adding clinical data to administrative data improve agreement among hospital quality measures?

PubMed

Hanchate, Amresh D; Stolzmann, Kelly L; Rosen, Amy K; Fink, Aaron S; Shwartz, Michael; Ash, Arlene S; Abdulkerim, Hassen; Pugh, Mary Jo V; Shokeen, Priti; Borzecki, Ann

2017-09-01

Hospital performance measures based on patient mortality and readmission have indicated modest rates of agreement. We examined if combining clinical data on laboratory tests and vital signs with administrative data leads to improved agreement with each other, and with other measures of hospital performance in the nation's largest integrated health care system. We used patient-level administrative and clinical data, and hospital-level data on quality indicators, for 2007-2010 from the Veterans Health Administration (VA). For patients admitted for acute myocardial infarction (AMI), heart failure (HF) and pneumonia we examined changes in hospital performance on 30-d mortality and 30-d readmission rates as a result of adding clinical data to administrative data. We evaluated whether this enhancement yielded improved measures of hospital quality, based on concordance with other hospital quality indicators. For 30-d mortality, data enhancement improved model performance, and significantly changed hospital performance profiles; for 30-d readmission, the impact was modest. Concordance between enhanced measures of both outcomes, and with other hospital quality measures - including Joint Commission process measures, VA Surgical Quality Improvement Program (VASQIP) mortality and morbidity, and case volume - remained poor. Adding laboratory tests and vital signs to measure hospital performance on mortality and readmission did not improve the poor rates of agreement across hospital quality indicators in the VA. Efforts to improve risk adjustment models should continue; however, evidence of validation should precede their use as reliable measures of quality. Published by Elsevier Inc.

42 CFR 422.152 - Quality improvement program.

Code of Federal Regulations, 2014 CFR

2014-10-01

..., quality of life indicators, depression scales, or chronic disease outcomes). (iii) Staff implementation of... 42 Public Health 3 2014-10-01 2014-10-01 false Quality improvement program. 422.152 Section 422... (CONTINUED) MEDICARE PROGRAM (CONTINUED) MEDICARE ADVANTAGE PROGRAM Quality Improvement § 422.152 Quality...

42 CFR 422.152 - Quality improvement program.

Code of Federal Regulations, 2012 CFR

2012-10-01

..., quality of life indicators, depression scales, or chronic disease outcomes). (iii) Staff implementation of... 42 Public Health 3 2012-10-01 2012-10-01 false Quality improvement program. 422.152 Section 422... (CONTINUED) MEDICARE PROGRAM (CONTINUED) MEDICARE ADVANTAGE PROGRAM Quality Improvement § 422.152 Quality...

42 CFR 422.152 - Quality improvement program.

Code of Federal Regulations, 2013 CFR

2013-10-01

..., quality of life indicators, depression scales, or chronic disease outcomes). (iii) Staff implementation of... 42 Public Health 3 2013-10-01 2013-10-01 false Quality improvement program. 422.152 Section 422... (CONTINUED) MEDICARE PROGRAM (CONTINUED) MEDICARE ADVANTAGE PROGRAM Quality Improvement § 422.152 Quality...

Enhancing causal interpretations of quality improvement interventions.

PubMed

Cable, G

2001-09-01

In an era of chronic resource scarcity it is critical that quality improvement professionals have confidence that their project activities cause measured change. A commonly used research design, the single group pre-test/post-test design, provides little insight into whether quality improvement interventions cause measured outcomes. A re-evaluation of a quality improvement programme designed to reduce the percentage of bilateral cardiac catheterisations for the period from January 1991 to October 1996 in three catheterisation laboratories in a north eastern state in the USA was performed using an interrupted time series design with switching replications. The accuracy and causal interpretability of the findings were considerably improved compared with the original evaluation design. Moreover, the re-evaluation provided tangible evidence in support of the suggestion that more rigorous designs can and should be more widely employed to improve the causal interpretability of quality improvement efforts. Evaluation designs for quality improvement projects should be constructed to provide a reasonable opportunity, given available time and resources, for causal interpretation of the results. Evaluators of quality improvement initiatives may infrequently have access to randomised designs. Nonetheless, as shown here, other very rigorous research designs are available for improving causal interpretability. Unilateral methodological surrender need not be the only alternative to randomised experiments.

Healthcare technologies, quality improvement programs and hospital organizational culture in Canadian hospitals

PubMed Central

2013-01-01

Background Healthcare technology and quality improvement programs have been identified as a means to influence healthcare costs and healthcare quality in Canada. This study seeks to identify whether the ability to implement healthcare technology by a hospital was related to usage of quality improvement programs within the hospital and whether the culture within a hospital plays a role in the adoption of quality improvement programs. Methods A cross-sectional study of Canadian hospitals was conducted in 2010. The sample consisted of hospital administrators that were selected by provincial review boards. The questionnaire consisted of 3 sections: 20 healthcare technology items, 16 quality improvement program items and 63 culture items. Results Rasch model analysis revealed that a hierarchy existed among the healthcare technologies based upon the difficulty of implementation. The results also showed a significant relationship existed between the ability to implement healthcare technologies and the number of quality improvement programs adopted. In addition, culture within a hospital served a mediating role in quality improvement programs adoption. Conclusions Healthcare technologies each have different levels of difficulty. As a consequence, hospitals need to understand their current level of capability before selecting a particular technology in order to assess the level of resources needed. Further the usage of quality improvement programs is related to the ability to implement technology and the culture within a hospital. PMID:24119419

Using AMLO to Improve the Quality of Teacher Education Outcomes

ERIC Educational Resources Information Center

Al-Shammari, Zaid

2012-01-01

This study aims to find ways to improve learning outcomes in teacher education courses by using an Analysis Model for Learning Outcomes (AMLO). It addresses the improvement of the quality of teacher education by analyzing learning outcomes and implementing curriculum modifications related to specific learning objectives and their effects on…

Large-scale model quality assessment for improving protein tertiary structure prediction.

PubMed

Cao, Renzhi; Bhattacharya, Debswapna; Adhikari, Badri; Li, Jilong; Cheng, Jianlin

2015-06-15

Sampling structural models and ranking them are the two major challenges of protein structure prediction. Traditional protein structure prediction methods generally use one or a few quality assessment (QA) methods to select the best-predicted models, which cannot consistently select relatively better models and rank a large number of models well. Here, we develop a novel large-scale model QA method in conjunction with model clustering to rank and select protein structural models. It unprecedentedly applied 14 model QA methods to generate consensus model rankings, followed by model refinement based on model combination (i.e. averaging). Our experiment demonstrates that the large-scale model QA approach is more consistent and robust in selecting models of better quality than any individual QA method. Our method was blindly tested during the 11th Critical Assessment of Techniques for Protein Structure Prediction (CASP11) as MULTICOM group. It was officially ranked third out of all 143 human and server predictors according to the total scores of the first models predicted for 78 CASP11 protein domains and second according to the total scores of the best of the five models predicted for these domains. MULTICOM's outstanding performance in the extremely competitive 2014 CASP11 experiment proves that our large-scale QA approach together with model clustering is a promising solution to one of the two major problems in protein structure modeling. The web server is available at: http://sysbio.rnet.missouri.edu/multicom_cluster/human/. © The Author 2015. Published by Oxford University Press.

Remote sensing inputs to National Model Implementation Program for water resources quality improvement

NASA Technical Reports Server (NTRS)

Eidenshink, J. C.; Schmer, F. A.

1979-01-01

The Lake Herman watershed in southeastern South Dakota has been selected as one of seven water resources systems in the United States for involvement in the National Model Implementation Program (MIP). MIP is a pilot program initiated to illustrate the effectiveness of existing water resources quality improvement programs. The Remote Sensing Institute (RSI) at South Dakota State University has produced a computerized geographic information system for the Lake Herman watershed. All components necessary for the monitoring and evaluation process were included in the data base. The computerized data were used to produce thematic maps and tabular data for the land cover and soil classes within the watershed. These data are being utilized operationally by SCS resource personnel for planning and management purposes.

Improve strategic supplier performance using DMAIC to develop a Quality Improvement Plan

NASA Astrophysics Data System (ADS)

Jardim, Kevin P.

Supplier performance that meets the requirements of the customer has long plagued quality professionals. Despite the vast efforts by organizations to improve supplier performance, little has been done to standardize the plan to improve performance. This project presents a guideline and problem-solving strategy using a Define, Measure, Analyze, Improve, and Control (DMAIC) structured tool that will assist in the management and improvement of supplier performance. An analysis of benchmarked Quality Improvement Plans indicated that this topic needs more focus on how to accomplish improved supplier performance. This project is part of a growing body of supplier continuous improvement efforts. With the input of Zodiac Aerospace quality professionals this project's results provide a solution to Quality Improvement Plans and show objective evidence of its benefits. This project contributes to the future research on similar topics.

A merged model of quality improvement and evaluation: maximizing return on investment.

PubMed

Woodhouse, Lynn D; Toal, Russ; Nguyen, Trang; Keene, DeAnna; Gunn, Laura; Kellum, Andrea; Nelson, Gary; Charles, Simone; Tedders, Stuart; Williams, Natalie; Livingood, William C

2013-11-01

Quality improvement (QI) and evaluation are frequently considered to be alternative approaches for monitoring and assessing program implementation and impact. The emphasis on third-party evaluation, particularly associated with summative evaluation, and the grounding of evaluation in the social and behavioral science contrast with an emphasis on the integration of QI process within programs or organizations and its origins in management science and industrial engineering. Working with a major philanthropic organization in Georgia, we illustrate how a QI model is integrated with evaluation for five asthma prevention and control sites serving poor and underserved communities in rural and urban Georgia. A primary foundation of this merged model of QI and evaluation is a refocusing of the evaluation from an intimidating report card summative evaluation by external evaluators to an internally engaged program focus on developmental evaluation. The benefits of the merged model to both QI and evaluation are discussed. The use of evaluation based logic models can help anchor a QI program in evidence-based practice and provide linkage between process and outputs with the longer term distal outcomes. Merging the QI approach with evaluation has major advantages, particularly related to enhancing the funder's return on investment. We illustrate how a Plan-Do-Study-Act model of QI can (a) be integrated with evaluation based logic models, (b) help refocus emphasis from summative to developmental evaluation, (c) enhance program ownership and engagement in evaluation activities, and (d) increase the role of evaluators in providing technical assistance and support.

Challenges of using quality improvement methods in nursing homes that "need improvement".

PubMed

Rantz, Marilyn J; Zwygart-Stauffacher, Mary; Flesner, Marcia; Hicks, Lanis; Mehr, David; Russell, Teresa; Minner, Donna

2012-10-01

Qualitatively describe the adoption of strategies and challenges experienced by intervention facilities participating in a study targeted to improve quality of care in nursing homes "in need of improvement". To describe how staff use federal quality indicator/quality measure (QI/QM) scores and reports, quality improvement methods and activities, and how staff supported and sustained the changes recommended by their quality improvement teams. A randomized, two-group, repeated-measures design was used to test a 2-year intervention for improving quality of care and resident outcomes in facilities in "need of improvement". Intervention group (n = 29) received an experimental multilevel intervention designed to help them: (1) use quality-improvement methods, (2) use team and group process for direct-care decision-making, (3) focus on accomplishing the basics of care, and (4) maintain more consistent nursing and administrative leadership committed to communication and active participation of staff in decision-making. A qualitative analysis revealed a subgroup of homes likely to continue quality improvement activities and readiness indicators of homes likely to improve: (1) a leadership team (nursing home administrator, director of nurses) interested in learning how to use their federal QI/QM reports as a foundation for improving resident care and outcomes; (2) one of the leaders to be a "change champion" and make sure that current QI/QM reports are consistently printed and shared monthly with each nursing unit; (3) leaders willing to involve all staff in the facility in educational activities to learn about the QI/QM process and the reports that show how their facility compares with others in the state and nation; (4) leaders willing to plan and continuously educate new staff about the MDS and federal QI/QM reports and how to do quality improvement activities; (5) leaders willing to continuously involve all staff in quality improvement committee and team activities so

Can Technology Improve the Quality of Colonoscopy?

PubMed

Thirumurthi, Selvi; Ross, William A; Raju, Gottumukkala S

2016-07-01

In order for screening colonoscopy to be an effective tool in reducing colon cancer incidence, exams must be performed in a high-quality manner. Quality metrics have been presented by gastroenterology societies and now include higher adenoma detection rate targets than in the past. In many cases, the quality of colonoscopy can often be improved with simple low-cost interventions such as improved procedure technique, implementing split-dose bowel prep, and monitoring individuals' performances. Emerging technology has expanded our field of view and image quality during colonoscopy. We will critically review several technological advances in the context of quality metrics and discuss if technology can really improve the quality of colonoscopy.

Improving Healthcare Quality in the United States: A New Approach.

PubMed

Nix, Kathryn A; O'Shea, John S

2015-06-01

Improving the quality of health care has been a focus of health reformers during the last 2 decades, yet meaningful and sustainable quality improvement has remained elusive in many ways. Although a number of individual institutions have made great strides toward more effective and efficient care, progress has not gone far enough on a national scale. Barriers to quality of care lie in fundamental, systemwide factors that impede large-scale change. Notable among these is the third-party financing arrangement that dominates the healthcare system. Long-term goals for healthcare reform should address this barrier to higher quality of care. A new model for healthcare financing that includes patient awareness of the cost of care will encourage better quality and reduced spending by engaging patients in the pursuit of value, aligning incentives for insurers to reduce costs with patients' desire to receive excellent care, and holding providers accountable for the quality and cost of the care they provide. Several new programs implemented under the Patient Protection and Affordable Care Act aim to catalyze improvement in the quality of care, but the law takes the wrong approach, directing incentives at providers only and maintaining a system that excludes patients from the search for high-value care.

ProQ3: Improved model quality assessments using Rosetta energy terms

PubMed Central

Uziela, Karolis; Shu, Nanjiang; Wallner, Björn; Elofsson, Arne

2016-01-01

Quality assessment of protein models using no other information than the structure of the model itself has been shown to be useful for structure prediction. Here, we introduce two novel methods, ProQRosFA and ProQRosCen, inspired by the state-of-art method ProQ2, but using a completely different description of a protein model. ProQ2 uses contacts and other features calculated from a model, while the new predictors are based on Rosetta energies: ProQRosFA uses the full-atom energy function that takes into account all atoms, while ProQRosCen uses the coarse-grained centroid energy function. The two new predictors also include residue conservation and terms corresponding to the agreement of a model with predicted secondary structure and surface area, as in ProQ2. We show that the performance of these predictors is on par with ProQ2 and significantly better than all other model quality assessment programs. Furthermore, we show that combining the input features from all three predictors, the resulting predictor ProQ3 performs better than any of the individual methods. ProQ3, ProQRosFA and ProQRosCen are freely available both as a webserver and stand-alone programs at http://proq3.bioinfo.se/. PMID:27698390

Quality Rating and Improvement Systems: A Strategic Movement for Defining Quality

ERIC Educational Resources Information Center

Neugebauer, Roger

2009-01-01

One of the most important trends in the early childhood field is the emergence of quality rating systems (QRS), or quality rating and improvement systems (QRIS), which are designed to assess, improve, and communicate the level of quality of early and school-age care programs. QRS came onto the scene in 1998 when Oklahoma enacted its "Reaching…

Developing and Transitioning Numerical Air Quality Models to Improve Air Quality and Public Health Decision-Making in El Salvador and Costa Rica As Part of the Servir Applied Sciences Team

NASA Astrophysics Data System (ADS)

Thomas, A.; Huff, A. K.; Gomori, S. G.; Sadoff, N.

2014-12-01

In order to enhance the capacity for air quality modeling and improve air quality monitoring and management in the SERVIR Mesoamerica region, members of SERVIR's Applied Sciences Team (AST) are developing national numerical air quality models for El Salvador and Costa Rica. We are working with stakeholders from the El Salvador Ministry of the Environment and Natural Resources (MARN); National University of Costa Rica (UNA); the Costa Rica Ministry of the Environment, Energy, and Telecommunications (MINAET); and Costa Rica National Meteorological Institute (IMN), who are leaders in air quality monitoring and management in the Mesoamerica region. Focusing initially on these institutions will build sustainability in regional modeling activities by developing air quality modeling capability that can be shared with other countries in Mesoamerica. The air quality models are based on the Community Multi-scale Air Quality (CMAQ) model and incorporate meteorological inputs from the Weather Research and Forecasting (WRF) model, as well as national emissions inventories from El Salvador and Costa Rica. The models are being optimized for urban air quality, which is a priority of decision-makers in Mesoamerica. Once experimental versions of the modeling systems are complete, they will be transitioned to servers run by stakeholders in El Salvador and Costa Rica. The numerical air quality models will provide decision support for stakeholders to identify 1) high-priority areas for expanding national ambient air monitoring networks, 2) needed revisions to national air quality regulations, and 3) gaps in national emissions inventories. This project illustrates SERVIR's goal of the transition of science to support decision-making through capacity building in Mesoamerica, and it aligns with the Group on Earth Observations' health societal benefit theme. This presentation will describe technical aspects of the development of the models and outline key steps in our successful

Accreditation and Continuous Quality Improvement in Athletic Training Education.

ERIC Educational Resources Information Center

Peer, Kimberly S.; Rakich, Jonathon S.

2000-01-01

Describes the application of the continuous quality improvement model, commonly associated with the business sector, to entry-level athletic training education programs accredited by the Commission on the Accreditation of Allied Health Education Programs. After discussing historical perspectives on athletic training education programs, the paper…

Identifying Continuous Quality Improvement Priorities in Maternal, Infant, and Early Childhood Home Visiting.

PubMed

Preskitt, Julie; Fifolt, Matthew; Ginter, Peter M; Rucks, Andrew; Wingate, Martha S

2016-01-01

The purpose of this article was to describe a methodology to identify continuous quality improvement (CQI) priorities for one state's Maternal, Infant, and Early Childhood Home Visiting program from among the 40 required constructs associated with 6 program benchmarks. The authors discuss how the methodology provided consensus on system CQI quality measure priorities and describe variation among the 3 service delivery models used within the state. Q-sort methodology was used by home visiting (HV) service delivery providers (home visitors) to prioritize HV quality measures for the overall state HV system as well as their service delivery model. There was general consensus overall and among the service delivery models on CQI quality measure priorities, although some variation was observed. Measures associated with Maternal, Infant, and Early Childhood Home Visiting benchmark 1, Improved Maternal and Newborn Health, and benchmark 3, Improvement in School Readiness and Achievement, were the highest ranked. The Q-sort exercise allowed home visitors an opportunity to examine priorities within their service delivery model as well as for the overall First Teacher HV system. Participants engaged in meaningful discussions regarding how and why they selected specific quality measures and developed a greater awareness and understanding of a systems approach to HV within the state. The Q-sort methodology presented in this article can easily be replicated by other states to identify CQI priorities at the local and state levels and can be used effectively in states that use a single HV service delivery model or those that implement multiple evidence-based models for HV service delivery.

Nursing informatics, outcomes, and quality improvement.

PubMed

Charters, Kathleen G

2003-08-01

Nursing informatics actively supports nursing by providing standard language systems, databases, decision support, readily accessible research results, and technology assessments. Through normalized datasets spanning an entire enterprise or other large demographic, nursing informatics tools support improvement of healthcare by answering questions about patient outcomes and quality improvement on an enterprise scale, and by providing documentation for business process definition, business process engineering, and strategic planning. Nursing informatics tools provide a way for advanced practice nurses to examine their practice and the effect of their actions on patient outcomes. Analysis of patient outcomes may lead to initiatives for quality improvement. Supported by nursing informatics tools, successful advance practice nurses leverage their quality improvement initiatives against the enterprise strategic plan to gain leadership support and resources.

Improving Operational Readiness through Total Quality Management

DTIC Science & Technology

1991-06-21

DTIC AD-A236 611 EL CT F NAVAL WAR COLL GE C Newport, R. I. IMPROVING OPERATIONAL READINESS THROUGH TOTAL QUALITY MANAGEMENT by Herb Westphal Defense...IMPROVING OPERATIONAL READINESS THROUGH TOTAL QUALITY MANAGEMENT (TQM) A Case Study: The Defense Mapping Agency Combat Support Center (DMACSC) initiated a...of the Defense Mapping Agency Combat Support Center’s (DMACSC) Total Quality Management (TQM) improvement methodology. This allows the reader to

Investigating organizational quality improvement systems, patient empowerment, organizational culture, professional involvement and the quality of care in European hospitals: the 'Deepening our Understanding of Quality Improvement in Europe (DUQuE)' project.

PubMed

Groene, Oliver; Klazinga, Niek; Wagner, Cordula; Arah, Onyebuchi A; Thompson, Andrew; Bruneau, Charles; Suñol, Rosa

2010-09-24

sophisticated methodological elements such as the use of causal diagrams, outcome modelling, double robust estimation and detailed sensitivity analysis or multiple bias analyses to assess the impact of the various sources of bias. Products of the project will include a catalogue of instruments and tools that can be used to build departmental or hospital quality and safety programme and an appraisal scheme to assess the maturity of the quality improvement system for use by hospitals and by purchasers to contract hospitals.

Quality improvement in pediatrics: past, present, and future.

PubMed

Schwartz, Stephanie P; Rehder, Kyle J

2017-01-01

Almost two decades ago, the landmark report "To Err is Human" compelled healthcare to address the large numbers of hospitalized patients experiencing preventable harm. Concurrently, it became clear that the rapidly rising cost of healthcare would be unsustainable in the long-term. As a result, quality improvement methodologies initially rooted in other high-reliability industries have become a primary focus of healthcare. Multiple pediatric studies demonstrate remarkable quality and safety improvements in several domains including handoffs, catheter-associated blood stream infections, and other serious safety events. While both quality improvement and research are data-driven processes, significant differences exist between the two. Research utilizes a hypothesis driven approach to obtain new knowledge while quality improvement often incorporates a cyclic approach to translate existing knowledge into clinical practice. Recent publications have provided guidelines and methods for effectively reporting quality and safety work and improvement implementations. This review examines not only how quality improvement in pediatrics has led to improved outcomes, but also looks to the future of quality improvement in healthcare with focus on education and collaboration to ensure best practice approaches to caring for children.

The 1999 ICSI/IHI colloquium on clinical quality improvement--"quality: settling the frontier".

PubMed

Palmersheim, T M

1999-12-01

A Colloquium on Clinical Quality Improvement, "Quality: Setting the Frontier," held in May 1999, covered methods and programs in clinical quality improvement. Leadership and organizational behavior were the main themes of the breakout sessions; specific topics included implementing guidelines, applying continuous quality improvement (CQI) methods in preventive services and primary care, and using systems thinking to improve clinical outcomes. Three keynote addresses were presented. James L. Reinertsen, MD (CareGroup, Boston), characterized the financial challenges faced by many health care organizations as a "clarion call" for leadership on quality. "The leadership imperative is to establish an environment in which quality can thrive, despite unprecedented, severe economic pressures on our health systems." How do we make improvement more effective? G. Ross Baker, PhD (University of Toronto), reviewed what organizational literature says about making teams more effective, understanding the organizational context to enable improvement work, and augmenting existing methods for creating sustainable improvement. For example, he noted the increasing interest among may organizations in rapid-cycle improvement but cautioned that such efforts may work best where problems can be addressed by existing clinical teams (not cross-functional work groups) and where there are available solutions that have worked in other settings. Mark Chassin, MD (Mount Sinai School of Medicine, New York), stated that critical tasks for improving quality include increasing public awareness, engaging clinicians in improvement, increasing the investment in producing measures and improvement tools, and reinventing health care delivery, clinical education and training, and QI.

A School-Based Quality Improvement Program.

ERIC Educational Resources Information Center

Rappaport, Lewis A.

1993-01-01

As one Brooklyn high school discovered, quality improvement begins with administrator commitment and participants' immersion in the literature. Other key elements include ongoing training of personnel involved in the quality-improvement process, tools such as the Deming Cycle (plan-do-check-act), voluntary and goal-oriented teamwork, and a worthy…

A cost-efficiency and health benefit approach to improve urban air quality.

PubMed

Miranda, A I; Ferreira, J; Silveira, C; Relvas, H; Duque, L; Roebeling, P; Lopes, M; Costa, S; Monteiro, A; Gama, C; Sá, E; Borrego, C; Teixeira, J P

2016-11-01

When ambient air quality standards established in the EU Directive 2008/50/EC are exceeded, Member States are obliged to develop and implement Air Quality Plans (AQP) to improve air quality and health. Notwithstanding the achievements in emission reductions and air quality improvement, additional efforts need to be undertaken to improve air quality in a sustainable way - i.e. through a cost-efficiency approach. This work was developed in the scope of the recently concluded MAPLIA project "Moving from Air Pollution to Local Integrated Assessment", and focuses on the definition and assessment of emission abatement measures and their associated costs, air quality and health impacts and benefits by means of air quality modelling tools, health impact functions and cost-efficiency analysis. The MAPLIA system was applied to the Grande Porto urban area (Portugal), addressing PM10 and NOx as the most important pollutants in the region. Four different measures to reduce PM10 and NOx emissions were defined and characterized in terms of emissions and implementation costs, and combined into 15 emission scenarios, simulated by the TAPM air quality modelling tool. Air pollutant concentration fields were then used to estimate health benefits in terms of avoided costs (external costs), using dose-response health impact functions. Results revealed that, among the 15 scenarios analysed, the scenario including all 4 measures lead to a total net benefit of 0.3M€·y(-1). The largest net benefit is obtained for the scenario considering the conversion of 50% of open fire places into heat recovery wood stoves. Although the implementation costs of this measure are high, the benefits outweigh the costs. Research outcomes confirm that the MAPLIA system is useful for policy decision support on air quality improvement strategies, and could be applied to other urban areas where AQP need to be implemented and monitored. Copyright © 2016. Published by Elsevier B.V.

Collaborative problem solving with a total quality model.

PubMed

Volden, C M; Monnig, R

1993-01-01

A collaborative problem-solving system committed to the interests of those involved complies with the teachings of the total quality management movement in health care. Deming espoused that any quality system must become an integral part of routine activities. A process that is used consistently in dealing with problems, issues, or conflicts provides a mechanism for accomplishing total quality improvement. The collaborative problem-solving process described here results in quality decision-making. This model incorporates Ishikawa's cause-and-effect (fishbone) diagram, Moore's key causes of conflict, and the steps of the University of North Dakota Conflict Resolution Center's collaborative problem solving model.

Differentiated strategies for improving streaming service quality

NASA Astrophysics Data System (ADS)

An, Hui; Chen, Xin-Meng

2005-02-01

With the explosive growth of streaming services, users are becoming more and more sensitive to its quality of service. To handle these problems, the research community focuses of the application of caching and replication techniques. But most approaches try to find specific strategies of caching of replication that suit for streaming service characteristics and to design some kind of universal policy to deal with all streaming objects. This paper explores the combination of caching and replication for improving streaming service quality and demonstrates that it makes sense to incorporate two technologies. It provides a system model and discusses some related issues of how to determining a refreshable streaming object and which refreshment policies a refreshable object should use.

Data Curation: Improving Environmental Health Data Quality.

PubMed

Yang, Lin; Li, Jiao; Hou, Li; Qian, Qing

2015-01-01

With the growing recognition of the influence of climate change on human health, scientists' attention to analyzing the relationship between meteorological factors and adverse health effects. However, the paucity of high quality integrated data is one of the great challenges, especially when scientific studies rely on data-intensive computing. This paper aims to design an appropriate curation process to address this problem. We present a data curation workflow that: (i) follows the guidance of DCC Curation Lifecycle Model; (ii) combines manual curation with automatic curation; (iii) and solves environmental health data curation problem. The workflow was applied to a medical knowledge service system and showed that it was capable of improving work efficiency and data quality.

Production system with process quality control: modelling and application

NASA Astrophysics Data System (ADS)

Tsou, Jia-Chi

2010-07-01

Over the past decade, there has been a great deal of research dedicated to the study of quality and the economics of production. In this article, we develop a dynamic model which is based on the hypothesis of a traditional economic production quantity model. Taguchi's cost of poor quality is used to evaluate the cost of poor quality in the dynamic production system. A practical case from the automotive industry, which uses the Six-sigma DMAIC methodology, is discussed to verify the proposed model. This study shows that there is an optimal value of quality investment to make the production system reach a reasonable quality level and minimise the production cost. Based on our model, the management can adjust its investment in quality improvement to generate considerable financial return.

Turning Continuous Quality Improvement into Institutional Practice: The Tools and Techniques.

ERIC Educational Resources Information Center

Cornesky, Robert A.

This manual is intended to assist managers of support units at institutions of higher education in the implementation of Continuous Quality Improvement (CQI). The purpose is to describe a cooperative model for CQI which will permit managers to evaluate the quality of their units and institution, and by using the described tools and techniques, to…

A Quality Improvement Collaborative Program for Neonatal Pain Management in Japan

PubMed Central

Yokoo, Kyoko; Funaba, Yuuki; Fukushima, Sayo; Fukuhara, Rie; Uchida, Mieko; Aiba, Satoru; Doi, Miki; Nishimura, Akira; Hayakawa, Masahiro; Nishimura, Yutaka; Oohira, Mitsuko

2017-01-01

Background: Neonatal pain management guidelines have been released; however, there is insufficient systematic institutional support for the adoption of evidence-based pain management in Japan. Purpose: To evaluate the impact of a collaborative quality improvement program on the implementation of pain management improvements in Japanese neonatal intensive care units (NICUs). Methods: Seven Japanese level III NICUs participated in a neonatal pain management quality improvement program based on an Institute for Healthcare Improvement collaborative model. The NICUs developed evidence-based practice points for pain management and implemented these over a 12-month period. Changes were introduced through a series of Plan-Do-Study-Act cycles, and throughout the process, pain management quality indicators were tracked as performance measures. Jonckheere's trend test and the Cochran-Armitage test for trend were used to examine the changes in quality indicator implementations over time (baseline, 3 months, 6 months, and 12 months). Findings: Baseline pain management data from the 7 sites revealed substantial opportunities for improvement of pain management, and testing changes in the NICU setting resulted in measurable improvements in pain management. During the intervention phase, all participating sites introduced new pain assessment tools, and all sites developed electronic medical record forms to capture pain score, interventions, and infant responses to interventions. Implications for Practice: The use of collaborative quality improvement techniques played a key role in improving pain management in the NICUs. Implications for Research: Collaborative improvement programs provide an attractive strategy for solving evidence-practice gaps in the NICU setting. PMID:28114148

Quality assurance and quality improvement in U.S. clinical molecular genetic laboratories.

PubMed

Chen, Bin; Richards, C Sue; Wilson, Jean Amos; Lyon, Elaine

2011-04-01

A robust quality-assurance program is essential for laboratories that perform molecular genetic testing to maintain high-quality testing and be able to address challenges associated with performance or delivery of testing services as the use of molecular genetic tests continues to expand in clinical and public health practice. This unit discusses quality-assurance and quality-improvement considerations that are critical for molecular genetic testing performed for heritable diseases and conditions. Specific discussion is provided on applying regulatory standards and best practices in establishing/verifying test performance, ensuring quality of the total testing process, monitoring and maintaining personnel competency, and continuing quality improvement. The unit provides a practical reference for laboratory professionals to use in recognizing and addressing essential quality-assurance issues in human molecular genetic testing. It should also provide useful information for genetics researchers, trainees, and fellows in human genetics training programs, as well as others who are interested in quality assurance and quality improvement for molecular genetic testing. 2011 by John Wiley & Sons, Inc.

Linking Six Sigma to simulation: a new roadmap to improve the quality of patient care.

PubMed

Celano, Giovanni; Costa, Antonio; Fichera, Sergio; Tringali, Giuseppe

2012-01-01

Improving the quality of patient care is a challenge that calls for a multidisciplinary approach, embedding a broad spectrum of knowledge and involving healthcare professionals from diverse backgrounds. The purpose of this paper is to present an innovative approach that implements discrete-event simulation (DES) as a decision-supporting tool in the management of Six Sigma quality improvement projects. A roadmap is designed to assist quality practitioners and health care professionals in the design and successful implementation of simulation models within the define-measure-analyse-design-verify (DMADV) or define-measure-analyse-improve-control (DMAIC) Six Sigma procedures. A case regarding the reorganisation of the flow of emergency patients affected by vertigo symptoms was developed in a large town hospital as a preliminary test of the roadmap. The positive feedback from professionals carrying out the project looks promising and encourages further roadmap testing in other clinical settings. The roadmap is a structured procedure that people involved in quality improvement can implement to manage projects based on the analysis and comparison of alternative scenarios. The role of Six Sigma philosophy in improvement of the quality of healthcare services is recognised both by researchers and by quality practitioners; discrete-event simulation models are commonly used to improve the key performance measures of patient care delivery. The two approaches are seldom referenced and implemented together; however, they could be successfully integrated to carry out quality improvement programs. This paper proposes an innovative approach to bridge the gap and enrich the Six Sigma toolbox of quality improvement procedures with DES.

Improving Tanzanian childbirth service quality.

PubMed

Jaribu, Jennie; Penfold, Suzanne; Green, Cathy; Manzi, Fatuma; Schellenberg, Joanna

2018-04-16

Purpose The purpose of this paper is to describe a quality improvement (QI) intervention in primary health facilities providing childbirth care in rural Southern Tanzania. Design/methodology/approach A QI collaborative model involving district managers and health facility staff was piloted for 6 months in 4 health facilities in Mtwara Rural district and implemented for 18 months in 23 primary health facilities in Ruangwa district. The model brings together healthcare providers from different health facilities in interactive workshops by: applying QI methods to generate and test change ideas in their own facilities; using local data to monitor improvement and decision making; and health facility supervision visits by project and district mentors. The topics for improving childbirth were deliveries and partographs. Findings Median monthly deliveries increased in 4 months from 38 (IQR 37-40) to 65 (IQR 53-71) in Mtwara Rural district, and in 17 months in Ruangwa district from 110 (IQR 103-125) to 161 (IQR 148-174). In Ruangwa health facilities, the women for whom partographs were used to monitor labour progress increased from 10 to 57 per cent in 17 months. Research limitations/implications The time for QI innovation, testing and implementation phases was limited, and the study only looked at trends. The outcomes were limited to process rather than health outcome measures. Originality/value Healthcare providers became confident in the QI method through engagement, generating and testing their own change ideas, and observing improvements. The findings suggest that implementing a QI initiative is feasible in rural, low-income settings.

Measuring, evaluating and improving hospital quality parameters/dimensions--an integrated healthcare quality approach.

PubMed

Zineldin, Mosad; Camgöz-Akdağ, Hatice; Vasicheva, Valiantsina

2011-01-01

This paper aims to examine the major factors affecting cumulative summation, to empirically examine the major factors affecting satisfaction and to address the question whether patients in Kazakhstan evaluate healthcare similarly or differently from patients in Egypt and Jordan. A questionnaire, adapted from previous research, was distributed to Kazakhstan inpatients. The questionnaire contained 39 attributes about five newly-developed quality dimensions (5Qs), which were identified to be the most relevant attributes for hospitals. The questionnaire was translated into Russian to increase the response rate and improve data quality. Almost 200 usable questionnaires were returned. Frequency distribution, factor analysis and reliability checks were used to analyze the data. The three biggest concerns for Kazakhstan patients are: infrastructure; atmosphere; and interaction. Hospital staffs concern for patients' needs, parking facilities for visitors, waiting time and food temperature were all common specific attributes, which were perceived as concerns. These were shortcomings in all three countries. Improving health service quality by applying total relationship management and the 5Qs model together with a customer-orientation strategy is recommended. Results can be used by hospital staff to reengineer and redesign creatively their quality management processes and help move towards more effective healthcare quality strategies. Patients in three countries have similar concerns and quality perceptions. The paper describes a new instrument and method. The study assures relevance, validity and reliability, while being explicitly change-oriented. The authors argue that patient satisfaction is a cumulative construct, summing satisfaction as five different qualities (5Qs): object; processes; infrastructure; interaction and atmosphere.

Software quality and process improvement in scientific simulation codes

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

Ambrosiano, J.; Webster, R.

1997-11-01

This report contains viewgraphs on the quest to develope better simulation code quality through process modeling and improvement. This study is based on the experience of the authors and interviews with ten subjects chosen from simulation code development teams at LANL. This study is descriptive rather than scientific.

Risk adjustment in the American College of Surgeons National Surgical Quality Improvement Program: a comparison of logistic versus hierarchical modeling.

PubMed

Cohen, Mark E; Dimick, Justin B; Bilimoria, Karl Y; Ko, Clifford Y; Richards, Karen; Hall, Bruce Lee

2009-12-01

Although logistic regression has commonly been used to adjust for risk differences in patient and case mix to permit quality comparisons across hospitals, hierarchical modeling has been advocated as the preferred methodology, because it accounts for clustering of patients within hospitals. It is unclear whether hierarchical models would yield important differences in quality assessments compared with logistic models when applied to American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) data. Our objective was to evaluate differences in logistic versus hierarchical modeling for identifying hospitals with outlying outcomes in the ACS-NSQIP. Data from ACS-NSQIP patients who underwent colorectal operations in 2008 at hospitals that reported at least 100 operations were used to generate logistic and hierarchical prediction models for 30-day morbidity and mortality. Differences in risk-adjusted performance (ratio of observed-to-expected events) and outlier detections from the two models were compared. Logistic and hierarchical models identified the same 25 hospitals as morbidity outliers (14 low and 11 high outliers), but the hierarchical model identified 2 additional high outliers. Both models identified the same eight hospitals as mortality outliers (five low and three high outliers). The values of observed-to-expected events ratios and p values from the two models were highly correlated. Results were similar when data were permitted from hospitals providing < 100 patients. When applied to ACS-NSQIP data, logistic and hierarchical models provided nearly identical results with respect to identification of hospitals' observed-to-expected events ratio outliers. As hierarchical models are prone to implementation problems, logistic regression will remain an accurate and efficient method for performing risk adjustment of hospital quality comparisons.

Improving and monitoring air quality.

PubMed

DuPont, André

2018-05-01

Since the authorization of the Clean Air Act Amendments of 1990, the air quality in the USA has significantly improved because of strong public support. The lessons learned over the last 25 years are being shared with the policy analysts, technical professionals, and scientist who endeavor to improve air quality in their communities. This paper will review how the USA has achieved the "high" standard of air quality that was envisioned in the early 1990s. This document will describe SO 2 gas emission reduction technology and highlight operation of emission monitoring technology. This paper describes the basic process operation of an air pollution control scrubber. A technical review of measures required to operate and maintain a large-scale pollution control system will be described. Also, the author explains how quality assurance procedures in performance of continuous emission monitoring plays a significant role in reducing air pollution.

Improving health care quality and safety: the role of collective learning.

PubMed

Singer, Sara J; Benzer, Justin K; Hamdan, Sami U

2015-01-01

Despite decades of effort to improve quality and safety in health care, this goal feels increasingly elusive. Successful examples of improvement are infrequently replicated. This scoping review synthesizes 76 empirical or conceptual studies (out of 1208 originally screened) addressing learning in quality or safety improvement, that were published in selected health care and management journals between January 2000 and December 2014 to deepen understanding of the role that collective learning plays in quality and safety improvement. We categorize learning activities using a theoretical model that shows how leadership and environmental factors support collective learning processes and practices, and in turn team and organizational improvement outcomes. By focusing on quality and safety improvement, our review elaborates the premise of learning theory that leadership, environment, and processes combine to create conditions that promote learning. Specifically, we found that learning for quality and safety improvement includes experimentation (including deliberate experimentation, improvisation, learning from failures, exploration, and exploitation), internal and external knowledge acquisition, performance monitoring and comparison, and training. Supportive learning environments are characterized by team characteristics like psychological safety, appreciation of differences, openness to new ideas social motivation, and team autonomy; team contextual factors including learning resources like time for reflection, access to knowledge, organizational capabilities; incentives; and organizational culture, strategy, and structure; and external environmental factors including institutional pressures, environmental dynamism and competitiveness and learning collaboratives. Lastly learning in the context of quality and safety improvement requires leadership that reinforces learning through actions and behaviors that affect people, such as coaching and trust building, and through

Improving health care quality and safety: the role of collective learning

PubMed Central

Singer, Sara J; Benzer, Justin K; Hamdan, Sami U

2015-01-01

Despite decades of effort to improve quality and safety in health care, this goal feels increasingly elusive. Successful examples of improvement are infrequently replicated. This scoping review synthesizes 76 empirical or conceptual studies (out of 1208 originally screened) addressing learning in quality or safety improvement, that were published in selected health care and management journals between January 2000 and December 2014 to deepen understanding of the role that collective learning plays in quality and safety improvement. We categorize learning activities using a theoretical model that shows how leadership and environmental factors support collective learning processes and practices, and in turn team and organizational improvement outcomes. By focusing on quality and safety improvement, our review elaborates the premise of learning theory that leadership, environment, and processes combine to create conditions that promote learning. Specifically, we found that learning for quality and safety improvement includes experimentation (including deliberate experimentation, improvisation, learning from failures, exploration, and exploitation), internal and external knowledge acquisition, performance monitoring and comparison, and training. Supportive learning environments are characterized by team characteristics like psychological safety, appreciation of differences, openness to new ideas social motivation, and team autonomy; team contextual factors including learning resources like time for reflection, access to knowledge, organizational capabilities; incentives; and organizational culture, strategy, and structure; and external environmental factors including institutional pressures, environmental dynamism and competitiveness and learning collaboratives. Lastly learning in the context of quality and safety improvement requires leadership that reinforces learning through actions and behaviors that affect people, such as coaching and trust building, and through

Improving Employees' Safety Awareness in Healthcare Organizations Using the DMAIC Quality Improvement Approach.

PubMed

Momani, Amer; Hirzallah, Muʼath; Mumani, Ahmad

Occupational injuries and illnesses in healthcare can cause great human suffering, incur high cost, and have an adverse impact on the quality of patient care. One of the most effective solutions for addressing health and safety issues and improving decisions at the point of care rests in raising employees' safety awareness to recognize, avoid, or respond to potential problems before they arise. In this article, the DMAIC Six Sigma model (Define, Measure, Analyze, Improve, Control) is used as a systematic program to measure, improve, and sustain employees' safety awareness in healthcare organizations. We report on a case study using the model, which was implemented and validated at a local hospital. First, the occupational health and safety knowledge that each job requires was identified. Next, the degree of competence of jobholders to meet these requirements was assessed. Based on the assessment, different awareness-raising efforts were proposed and implemented. The results showed significant improvement in the overall safety awareness compliance assessed: from 74.2% to 84.4% (p < .001) after the intervention. The proposed model ensures that the organization's awareness-raising efforts serve its actual needs and produce optimized and sustained results that eventually lead to safer healthcare service.

42 CFR 475.103 - Requirements for performing quality improvement initiatives.

Code of Federal Regulations, 2014 CFR

2014-10-01

... 42 Public Health 4 2014-10-01 2014-10-01 false Requirements for performing quality improvement... HEALTH AND HUMAN SERVICES (CONTINUED) QUALITY IMPROVEMENT ORGANIZATIONS QUALITY IMPROVEMENT ORGANIZATIONS Quality Improvement Organizations § 475.103 Requirements for performing quality improvement initiatives...

Budget Reform to Improve Higher Education Quality.

ERIC Educational Resources Information Center

Folger, John

A national project designed to examine issues of budget reform and quality improvement in higher education is described. The focus is state-level budget practices and their impact on institutions. Most of the funding for quality improvement has been categorical: a small percent of the budget is set aside to achieve particular quality or…

The importance of improving the quality of emergency surgery for a regional quality collaborative.

PubMed

Smith, Margaret; Hussain, Adnan; Xiao, Jane; Scheidler, William; Reddy, Haritha; Olugbade, Kola; Cummings, Dustin; Terjimanian, Michael; Krapohl, Greta; Waits, Seth A; Campbell, Darrell; Englesbe, Michael J

2013-04-01

Within a large, statewide collaborative, significant improvement in surgical quality has been appreciated (9.0% reduction in morbidity for elective general and vascular surgery). Our group has not noted such quality improvement in the care of patients who had emergency operations. With this work, we aim to describe the scope of emergency surgical care within the Michigan Surgical Quality Collaborative, variations in outcomes among hospitals, and variations in adherence to evidence-based process measures. Overall, these data will form a basis for a broad-based quality improvement initiative within Michigan. We report morbidity, mortality, and costs of emergency and elective general and vascular surgery cases (N = 190,826) within 34 hospitals participating in the Michigan Surgical Quality Collaborative from 2005 to 2010. Adjusted hospital-specific outcomes were calculated using a stepwise multivariable logistic regression model. Adjustment covariates included patient specific comorbidities and case complexity. Hospitals were also compared on the basis of their adherence to evidence-based process measures [measures at the patient level for each case-Surgical Care Improvement Project (SCIP)-1 and SCIP-2 compliance]. Emergency procedures account for approximately 11% of total cases, yet they represented 47% of mortalities and 28% of surgical complications. The complication-specific cost to payers was $126 million for emergency cases and $329 million for elective cases. Adjusted patient outcomes varied widely within Michigan Surgical Quality Collaborative hospitals; morbidity and mortality rates ranged from 16.3% to 33.9% and 4.0% to 12.4%, respectively. The variation among hospitals was not correlated with volume of emergency cases and case complexity. Hospital performance in emergency surgery was found to not depend on its share of emergent cases but rather was found to directly correlate with its performance in elective surgery. For emergency colectomies, there was a

[QUIPS: quality improvement in postoperative pain management].

PubMed

Meissner, Winfried

2011-01-01

Despite the availability of high-quality guidelines and advanced pain management techniques acute postoperative pain management is still far from being satisfactory. The QUIPS (Quality Improvement in Postoperative Pain Management) project aims to improve treatment quality by means of standardised data acquisition, analysis of quality and process indicators, and feedback and benchmarking. During a pilot phase funded by the German Ministry of Health (BMG), a total of 12,389 data sets were collected from six participating hospitals. Outcome improved in four of the six hospitals. Process indicators, such as routine pain documentation, were only poorly correlated with outcomes. To date, more than 130 German hospitals use QUIPS as a routine quality management tool. An EC-funded parallel project disseminates the concept internationally. QUIPS demonstrates that patient-reported outcomes in postoperative pain management can be benchmarked in routine clinical practice. Quality improvement initiatives should use outcome instead of structural and process parameters. The concept is transferable to other fields of medicine. Copyright © 2011. Published by Elsevier GmbH.

The development of an integrated Indonesian health care model using Kano's model, quality function deployment and balanced scorecard

NASA Astrophysics Data System (ADS)

Jonny, Zagloed, Teuku Yuri M.

2017-11-01

This paper aims to present an integrated health care model for Indonesian health care industry. Based on previous researches, there are two health care models in the industry such as decease- and patient-centered care models. In their developments, the patient-centered care model is widely applied due to its capability in reducing cost and improving quality simultaneously. However, there is still no comprehensive model resulting in cost reduction, quality improvement, patient satisfaction and hospital profitability simultaneously. Therefore, this research is intended to develop that model. In doing so, first, a conceptual model using Kano's Model, Quality Function Deployment (QFD) and Balanced Scorecard (BSC) is developed to generate several important elements of the model as required by stakeholders. Then, a case study of an Indonesian hospital is presented to evaluate the validity of the model using correlation analysis. As a result, it can be concluded that the model is validated implying several managerial insights among its elements such as l) leadership (r=0.85) and context of the organization (r=0.77) improve operations; 2) planning (r=0.96), support process (r=0.87) and continual improvement (r=0.95) also improve operations; 3) operations improve customer satisfaction (r=0.89) and financial performance (r=0.93) and 4) customer satisfaction improves the financial performance (0.98).

Using Unified Modelling Language (UML) as a process-modelling technique for clinical-research process improvement.

PubMed

Kumarapeli, P; De Lusignan, S; Ellis, T; Jones, B

2007-03-01

The Primary Care Data Quality programme (PCDQ) is a quality-improvement programme which processes routinely collected general practice computer data. Patient data collected from a wide range of different brands of clinical computer systems are aggregated, processed, and fed back to practices in an educational context to improve the quality of care. Process modelling is a well-established approach used to gain understanding and systematic appraisal, and identify areas of improvement of a business process. Unified modelling language (UML) is a general purpose modelling technique used for this purpose. We used UML to appraise the PCDQ process to see if the efficiency and predictability of the process could be improved. Activity analysis and thinking-aloud sessions were used to collect data to generate UML diagrams. The UML model highlighted the sequential nature of the current process as a barrier for efficiency gains. It also identified the uneven distribution of process controls, lack of symmetric communication channels, critical dependencies among processing stages, and failure to implement all the lessons learned in the piloting phase. It also suggested that improved structured reporting at each stage - especially from the pilot phase, parallel processing of data and correctly positioned process controls - should improve the efficiency and predictability of research projects. Process modelling provided a rational basis for the critical appraisal of a clinical data processing system; its potential maybe underutilized within health care.

Contract management techniques for improving construction quality

DOT National Transportation Integrated Search

1997-07-01

Efforts to improve quality in highway construction embrace many aspects of the construction process. Quality goals include enhanced efficiency and productivity, optimal cost and delivery time, improved performance, and changes in attitude-promoting a...

Assessing the impact of continuous quality improvement/total quality management: concept versus implementation.

PubMed

Shortell, S M; O'Brien, J L; Carman, J M; Foster, R W; Hughes, E F; Boerstler, H; O'Connor, E J

1995-06-01

This study examines the relationships among organizational culture, quality improvement processes and selected outcomes for a sample of up to 61 U. S. hospitals. Primary data were collected from 61 U. S. hospitals (located primarily in the midwest and the west) on measures related to continuous quality improvement/total quality management (CQI/TQM), organizational culture, implementation approaches, and degree of quality improvement implementation based on the Baldrige Award criteria. These data were combined with independently collected data on perceived impact and objective measures of clinical efficiency (i.e., charges and length of stay) for six clinical conditions. The study involved cross-sectional examination of the named relationships. Reliable and valid scales for the organizational culture and quality improvement implementation measures were developed based on responses from over 7,000 individuals across the 61 hospitals with an overall completion rate of 72 percent. Independent data on perceived impact were collected from a national survey and independent data on clinical efficiency from a companion study of managed care. A participative, flexible, risk-taking organizational culture was significantly related to quality improvement implementation. Quality improvement implementation, in turn, was positively associated with greater perceived patient outcomes and human resource development. Larger-size hospitals experienced lower clinical efficiency with regard to higher charges and higher length of stay, due in part to having more bureaucratic and hierarchical cultures that serve as a barrier to quality improvement implementation. What really matters is whether or not a hospital has a culture that supports quality improvement work and an approach that encourages flexible implementation. Larger-size hospitals face more difficult challenges in this regard.

A Bayesian model averaging method for improving SMT phrase table

NASA Astrophysics Data System (ADS)

Duan, Nan

2013-03-01

Previous methods on improving translation quality by employing multiple SMT models usually carry out as a second-pass decision procedure on hypotheses from multiple systems using extra features instead of using features in existing models in more depth. In this paper, we propose translation model generalization (TMG), an approach that updates probability feature values for the translation model being used based on the model itself and a set of auxiliary models, aiming to alleviate the over-estimation problem and enhance translation quality in the first-pass decoding phase. We validate our approach for translation models based on auxiliary models built by two different ways. We also introduce novel probability variance features into the log-linear models for further improvements. We conclude our approach can be developed independently and integrated into current SMT pipeline directly. We demonstrate BLEU improvements on the NIST Chinese-to-English MT tasks for single-system decodings.

Improvement of quality of 3D printed objects by elimination of microscopic structural defects in fused deposition modeling.

PubMed

Gordeev, Evgeniy G; Galushko, Alexey S; Ananikov, Valentine P

2018-01-01

Additive manufacturing with fused deposition modeling (FDM) is currently optimized for a wide range of research and commercial applications. The major disadvantage of FDM-created products is their low quality and structural defects (porosity), which impose an obstacle to utilizing them in functional prototyping and direct digital manufacturing of objects intended to contact with gases and liquids. This article describes a simple and efficient approach for assessing the quality of 3D printed objects. Using this approach it was shown that the wall permeability of a printed object depends on its geometric shape and is gradually reduced in a following series: cylinder > cube > pyramid > sphere > cone. Filament feed rate, wall geometry and G-code-defined wall structure were found as primary parameters that influence the quality of 3D-printed products. Optimization of these parameters led to an overall increase in quality and improvement of sealing properties. It was demonstrated that high quality of 3D printed objects can be achieved using routinely available printers and standard filaments.

An interval programming model for continuous improvement in micro-manufacturing

NASA Astrophysics Data System (ADS)

Ouyang, Linhan; Ma, Yizhong; Wang, Jianjun; Tu, Yiliu; Byun, Jai-Hyun

2018-03-01

Continuous quality improvement in micro-manufacturing processes relies on optimization strategies that relate an output performance to a set of machining parameters. However, when determining the optimal machining parameters in a micro-manufacturing process, the economics of continuous quality improvement and decision makers' preference information are typically neglected. This article proposes an economic continuous improvement strategy based on an interval programming model. The proposed strategy differs from previous studies in two ways. First, an interval programming model is proposed to measure the quality level, where decision makers' preference information is considered in order to determine the weight of location and dispersion effects. Second, the proposed strategy is a more flexible approach since it considers the trade-off between the quality level and the associated costs, and leaves engineers a larger decision space through adjusting the quality level. The proposed strategy is compared with its conventional counterparts using an Nd:YLF laser beam micro-drilling process.

CMS Nonpayment Policy, Quality Improvement, and Hospital-Acquired Conditions: An Integrative Review.

PubMed

Bae, Sung-Heui

This integrative review synthesized evidence on the consequences of the Centers for Medicare & Medicaid Services (CMS) nonpayment policy on quality improvement initiatives and hospital-acquired conditions. Fourteen articles were included. This review presents strong evidence that the CMS policy has spurred quality improvement initiatives; however, the relationships between the CMS policy and hospital-acquired conditions are inconclusive. In future research, a comprehensive model of implementation of the CMS nonpayment policy would help us understand the effectiveness of this policy.

Interventions to improve water quality for preventing diarrhoea

PubMed Central

Clasen, Thomas F; Alexander, Kelly T; Sinclair, David; Boisson, Sophie; Peletz, Rachel; Chang, Howard H; Majorin, Fiona; Cairncross, Sandy

2015-01-01

unimproved water sources (30 studies) and unimproved or unclear sanitation (34 studies). The primary outcome in most studies was self-reported diarrhoea, which is at high risk of bias due to the lack of blinding in over 80% of the included studies. Source-based water quality improvements There is currently insufficient evidence to know if source-based improvements such as protected wells, communal tap stands, or chlorination/filtration of community sources consistently reduce diarrhoea (one cluster-RCT, five CBA studies, very low quality evidence). We found no studies evaluating reliable piped-in water supplies delivered to households. Point-of-use water quality interventions On average, distributing water disinfection products for use at the household level may reduce diarrhoea by around one quarter (Home chlorination products: RR 0.77, 95% CI 0.65 to 0.91; 14 trials, 30,746 participants, low quality evidence; flocculation and disinfection sachets: RR 0.69, 95% CI 0.58 to 0.82, four trials, 11,788 participants, moderate quality evidence). However, there was substantial heterogeneity in the size of the effect estimates between individual studies. Point-of-use filtration systems probably reduce diarrhoea by around a half (RR 0.48, 95% CI 0.38 to 0.59, 18 trials, 15,582 participants, moderate quality evidence). Important reductions in diarrhoea episodes were shown with ceramic filters, biosand systems and LifeStraw® filters; (Ceramic: RR 0.39, 95% CI 0.28 to 0.53; eight trials, 5763 participants, moderate quality evidence; Biosand: RR 0.47, 95% CI 0.39 to 0.57; four trials, 5504 participants, moderate quality evidence; LifeStraw®: RR 0.69, 95% CI 0.51 to 0.93; three trials, 3259 participants, low quality evidence). Plumbed in filters have only been evaluated in high-income settings (RR 0.81, 95% CI 0.71 to 0.94, three trials, 1056 participants, fixed effects model). In low-income settings, solar water disinfection (SODIS) by distribution of plastic bottles with instructions

A business case for quality improvement in addiction treatment: evidence from the NIATx collaborative.

PubMed

Quanbeck, Andrew R; Madden, Lynn; Edmundson, Eldon; Ford, James H; McConnell, K John; McCarty, Dennis; Gustafson, David H

2012-01-01

The Network for the Improvement of Addiction Treatment (NIATx) promotes treatment access and retention through a customer-focused quality improvement model. This paper explores the issue of the "business case" for quality improvement in addiction treatment from the provider's perspective. The business case model developed in this paper is based on case examples of early NIATx participants coupled with a review of the literature. Process inefficiencies indicated by long waiting times, high no-show rates, and low continuation rates cause underutilization of capacity and prevent optimal financial performance. By adopting customer-focused practices aimed at removing barriers to treatment access and retention, providers may be able to improve financial performance, increase staff retention, and gain long-term strategic advantage.

A machine learning calibration model using random forests to improve sensor performance for lower-cost air quality monitoring

NASA Astrophysics Data System (ADS)

Zimmerman, Naomi; Presto, Albert A.; Kumar, Sriniwasa P. N.; Gu, Jason; Hauryliuk, Aliaksei; Robinson, Ellis S.; Robinson, Allen L.; Subramanian, R.

2018-01-01

Low-cost sensing strategies hold the promise of denser air quality monitoring networks, which could significantly improve our understanding of personal air pollution exposure. Additionally, low-cost air quality sensors could be deployed to areas where limited monitoring exists. However, low-cost sensors are frequently sensitive to environmental conditions and pollutant cross-sensitivities, which have historically been poorly addressed by laboratory calibrations, limiting their utility for monitoring. In this study, we investigated different calibration models for the Real-time Affordable Multi-Pollutant (RAMP) sensor package, which measures CO, NO2, O3, and CO2. We explored three methods: (1) laboratory univariate linear regression, (2) empirical multiple linear regression, and (3) machine-learning-based calibration models using random forests (RF). Calibration models were developed for 16-19 RAMP monitors (varied by pollutant) using training and testing windows spanning August 2016 through February 2017 in Pittsburgh, PA, US. The random forest models matched (CO) or significantly outperformed (NO2, CO2, O3) the other calibration models, and their accuracy and precision were robust over time for testing windows of up to 16 weeks. Following calibration, average mean absolute error on the testing data set from the random forest models was 38 ppb for CO (14 % relative error), 10 ppm for CO2 (2 % relative error), 3.5 ppb for NO2 (29 % relative error), and 3.4 ppb for O3 (15 % relative error), and Pearson r versus the reference monitors exceeded 0.8 for most units. Model performance is explored in detail, including a quantification of model variable importance, accuracy across different concentration ranges, and performance in a range of monitoring contexts including the National Ambient Air Quality Standards (NAAQS) and the US EPA Air Sensors Guidebook recommendations of minimum data quality for personal exposure measurement. A key strength of the RF approach is that

Methodology of quality improvement projects for the Texas Medicare population.

PubMed

Pendergrass, P W; Abel, R L; Bing, M; Vaughn, R; McCauley, C

1998-07-01

The Texas Medical Foundation, the quality improvement organization for the state of Texas, develops local quality improvement projects for the Medicare population. These projects are developed as part of the Health Care Quality Improvement Program undertaken by the Health Care Financing Administration. The goal of a local quality improvement project is to collaborate with providers to identify and reduce the incidence of unintentional variations in the delivery of care that negatively impact outcomes. Two factors are critical to the success of a quality improvement project. First, as opposed to peer review that is based on implicit criteria, quality improvement must be based on explicit criteria. These criteria represent key steps in the delivery of care that have been shown to improve outcomes for a specific disease. Second, quality improvement must be performed in partnership with the health care community. As such, the health care community must play an integral role in the design and evaluation of a quality improvement project and in the design and implementation of the resulting quality improvement plan. Specifically, this article provides a historical perspective for the transition from peer review to quality improvement. It discusses key steps used in developing and implementing local quality improvement projects including topic selection, quality indicator development, collaborator recruitment, and measurement of performance/improvement. Two Texas Medical Foundation projects are described to highlight the current methodology and to illustrate the impact of quality improvement projects.

Assessing the impact of continuous quality improvement/total quality management: concept versus implementation.

PubMed Central

Shortell, S M; O'Brien, J L; Carman, J M; Foster, R W; Hughes, E F; Boerstler, H; O'Connor, E J

1995-01-01

OBJECTIVE: This study examines the relationships among organizational culture, quality improvement processes and selected outcomes for a sample of up to 61 U. S. hospitals. DATA SOURCES AND STUDY SETTING: Primary data were collected from 61 U. S. hospitals (located primarily in the midwest and the west) on measures related to continuous quality improvement/total quality management (CQI/TQM), organizational culture, implementation approaches, and degree of quality improvement implementation based on the Baldrige Award criteria. These data were combined with independently collected data on perceived impact and objective measures of clinical efficiency (i.e., charges and length of stay) for six clinical conditions. STUDY DESIGN: The study involved cross-sectional examination of the named relationships. DATA COLLECTION/EXTRACTION METHODS: Reliable and valid scales for the organizational culture and quality improvement implementation measures were developed based on responses from over 7,000 individuals across the 61 hospitals with an overall completion rate of 72 percent. Independent data on perceived impact were collected from a national survey and independent data on clinical efficiency from a companion study of managed care. PRINCIPAL FINDINGS: A participative, flexible, risk-taking organizational culture was significantly related to quality improvement implementation. Quality improvement implementation, in turn, was positively associated with greater perceived patient outcomes and human resource development. Larger-size hospitals experienced lower clinical efficiency with regard to higher charges and higher length of stay, due in part to having more bureaucratic and hierarchical cultures that serve as a barrier to quality improvement implementation. CONCLUSIONS: What really matters is whether or not a hospital has a culture that supports quality improvement work and an approach that encourages flexible implementation. Larger-size hospitals face more difficult

Improving Indoor Air Quality

EPA Pesticide Factsheets

Usually the most effective way to improve indoor air quality is to eliminate individual sources of pollution or to reduce their emissions. Some sources, like those that contain asbestos, can be sealed or enclosed.

Performance improvement CME for quality: challenges inherent to the process.

PubMed

Vakani, Farhan Saeed; O'Beirne, Ronan

2015-01-01

The purpose of this paper is to discuss the perspective debates upon the real-time challenges for a three-staged Performance Improvement Continuing Medical Education (PI-CME) model, an innovative and potential approach for future CME, to inform providers to think, prepare and to act proactively. In this discussion, the challenges associated for adopting the American Medical Association's three-staged PI-CME model are reported. Not many institutions in USA are using a three-staged performance improvement model and then customizing it to their own healthcare context for the specific targeted audience. They integrate traditional CME methods with performance and quality initiatives, and linking with CME credits. Overall the US health system is interested in a structured PI-CME model with the potential to improve physicians practicing behaviors. Knowing the dearth of evidence for applying this structured performance improvement methodology into the design of CME activities, and the lack of clarity on challenges inherent to the process that learners and providers encounter. This paper establishes all-important first step to render the set of challenges for a three-staged PI-CME model.

Surgical Process Improvement: Impact of a Standardized Care Model With Electronic Decision Support to Improve Compliance With SCIP Inf-9.

PubMed

Cook, David J; Thompson, Jeffrey E; Suri, Rakesh; Prinsen, Sharon K

2014-01-01

The absence of standardization in surgical care process, exemplified in a "solution shop" model, can lead to unwarranted variation, increased cost, and reduced quality. A comprehensive effort was undertaken to improve quality of care around indwelling bladder catheter use following surgery by creating a "focused factory" model within the cardiac surgical practice. Baseline compliance with Surgical Care Improvement Inf-9, removal of urinary catheter by the end of surgical postoperative day 2, was determined. Comparison of baseline data to postintervention results showed clinically important reductions in the duration of indwelling bladder catheters as well as marked reduction in practice variation. Following the intervention, Surgical Care Improvement Inf-9 guidelines were met in 97% of patients. Although clinical quality improvement was notable, the process to accomplish this-identification of patients suitable for standardized pathways, protocol application, and electronic systems to support the standardized practice model-has potentially greater relevance than the specific clinical results. © 2013 by the American College of Medical Quality.

Interventions to improve water quality for preventing diarrhoea.

PubMed

Clasen, Thomas F; Alexander, Kelly T; Sinclair, David; Boisson, Sophie; Peletz, Rachel; Chang, Howard H; Majorin, Fiona; Cairncross, Sandy

2015-10-20

outcome in most studies was self-reported diarrhoea, which is at high risk of bias due to the lack of blinding in over 80% of the included studies. Source-based water quality improvementsThere is currently insufficient evidence to know if source-based improvements such as protected wells, communal tap stands, or chlorination/filtration of community sources consistently reduce diarrhoea (one cluster-RCT, five CBA studies, very low quality evidence). We found no studies evaluating reliable piped-in water supplies delivered to households. Point-of-use water quality interventionsOn average, distributing water disinfection products for use at the household level may reduce diarrhoea by around one quarter (Home chlorination products: RR 0.77, 95% CI 0.65 to 0.91; 14 trials, 30,746 participants, low quality evidence; flocculation and disinfection sachets: RR 0.69, 95% CI 0.58 to 0.82, four trials, 11,788 participants, moderate quality evidence). However, there was substantial heterogeneity in the size of the effect estimates between individual studies.Point-of-use filtration systems probably reduce diarrhoea by around a half (RR 0.48, 95% CI 0.38 to 0.59, 18 trials, 15,582 participants, moderate quality evidence). Important reductions in diarrhoea episodes were shown with ceramic filters, biosand systems and LifeStraw® filters; (Ceramic: RR 0.39, 95% CI 0.28 to 0.53; eight trials, 5763 participants, moderate quality evidence; Biosand: RR 0.47, 95% CI 0.39 to 0.57; four trials, 5504 participants, moderate quality evidence; LifeStraw®: RR 0.69, 95% CI 0.51 to 0.93; three trials, 3259 participants, low quality evidence). Plumbed in filters have only been evaluated in high-income settings (RR 0.81, 95% CI 0.71 to 0.94, three trials, 1056 participants, fixed effects model).In low-income settings, solar water disinfection (SODIS) by distribution of plastic bottles with instructions to leave filled bottles in direct sunlight for at least six hours before drinking probably reduces

Quality Improvement in Acute Ischemic Stroke Care in Taiwan: The Breakthrough Collaborative in Stroke

PubMed Central

Chern, Chang-Ming; Lee, Tsong-Hai; Tang, Sung-Chun; Tsai, Li-Kai; Liao, Hsun-Hsiang; Chang, Hang; LaBresh, Kenneth A.; Lin, Hung-Jung; Chiou, Hung-Yi; Chiu, Hou-Chang; Lien, Li-Ming

2016-01-01

In the management of acute ischemic stroke, guideline adherence is often suboptimal, particularly for intravenous thrombolysis or anticoagulation for atrial fibrillation. We sought to improve stroke care quality via a collaborative model, the Breakthrough Series (BTS)-Stroke activity, in a nationwide, multi-center activity in Taiwan. A BTS Collaborative, a short-term learning system for a large number of multidisciplinary teams from hospitals, was applied to enhance acute ischemic stroke care quality. Twenty-four hospitals participated in and submitted data for this stroke quality improvement campaign in 2010–2011. Totally, 14 stroke quality measures, adopted from the Get With The Guideline (GWTG)-Stroke program, were used to evaluate the performance and outcome of the ischemic stroke patients. Data for a one-year period from 24 hospitals with 13,181 acute ischemic stroke patients were analyzed. In 14 hospitals, most stroke quality measures improved significantly during the BTS-activity compared with a pre-BTS-Stroke activity period (2006–08). The rate of intravenous thrombolysis increased from 1.2% to 4.6%, door-to-needle time ≤60 minutes improved from 7.1% to 50.8%, symptomatic hemorrhage after intravenous thrombolysis decreased from 11.0% to 5.6%, and anticoagulation therapy for atrial fibrillation increased from 32.1% to 64.1%. The yearly composite measures of five stroke quality measures revealed significant improvements from 2006 to 2011 (75% to 86.3%, p<0.001). The quarterly composite measures also improved significantly during the BTS-Stroke activity. In conclusion, a BTS collaborative model is associated with improved guideline adherence for patients with acute ischemic stroke. GWTG-Stroke recommendations can be successfully applied in countries besides the United States. PMID:27487190

Quality Improvement in Acute Ischemic Stroke Care in Taiwan: The Breakthrough Collaborative in Stroke.

PubMed

Hsieh, Fang-I; Jeng, Jiann-Shing; Chern, Chang-Ming; Lee, Tsong-Hai; Tang, Sung-Chun; Tsai, Li-Kai; Liao, Hsun-Hsiang; Chang, Hang; LaBresh, Kenneth A; Lin, Hung-Jung; Chiou, Hung-Yi; Chiu, Hou-Chang; Lien, Li-Ming

2016-01-01

In the management of acute ischemic stroke, guideline adherence is often suboptimal, particularly for intravenous thrombolysis or anticoagulation for atrial fibrillation. We sought to improve stroke care quality via a collaborative model, the Breakthrough Series (BTS)-Stroke activity, in a nationwide, multi-center activity in Taiwan. A BTS Collaborative, a short-term learning system for a large number of multidisciplinary teams from hospitals, was applied to enhance acute ischemic stroke care quality. Twenty-four hospitals participated in and submitted data for this stroke quality improvement campaign in 2010-2011. Totally, 14 stroke quality measures, adopted from the Get With The Guideline (GWTG)-Stroke program, were used to evaluate the performance and outcome of the ischemic stroke patients. Data for a one-year period from 24 hospitals with 13,181 acute ischemic stroke patients were analyzed. In 14 hospitals, most stroke quality measures improved significantly during the BTS-activity compared with a pre-BTS-Stroke activity period (2006-08). The rate of intravenous thrombolysis increased from 1.2% to 4.6%, door-to-needle time ≤60 minutes improved from 7.1% to 50.8%, symptomatic hemorrhage after intravenous thrombolysis decreased from 11.0% to 5.6%, and anticoagulation therapy for atrial fibrillation increased from 32.1% to 64.1%. The yearly composite measures of five stroke quality measures revealed significant improvements from 2006 to 2011 (75% to 86.3%, p<0.001). The quarterly composite measures also improved significantly during the BTS-Stroke activity. In conclusion, a BTS collaborative model is associated with improved guideline adherence for patients with acute ischemic stroke. GWTG-Stroke recommendations can be successfully applied in countries besides the United States.

Air Quality Response Modeling for Decision Support | Science ...

EPA Pesticide Factsheets

Air quality management relies on photochemical models to predict the responses of pollutant concentrations to changes in emissions. Such modeling is especially important for secondary pollutants such as ozone and fine particulate matter which vary nonlinearly with changes in emissions. Numerous techniques for probing pollutant-emission relationships within photochemical models have been developed and deployed for a variety of decision support applications. However, atmospheric response modeling remains complicated by the challenge of validating sensitivity results against observable data. This manuscript reviews the state of the science of atmospheric response modeling as well as efforts to characterize the accuracy and uncertainty of sensitivity results. The National Exposure Research Laboratory′s (NERL′s) Atmospheric Modeling and Analysis Division (AMAD) conducts research in support of EPA′s mission to protect human health and the environment. AMAD′s research program is engaged in developing and evaluating predictive atmospheric models on all spatial and temporal scales for forecasting the Nation′s air quality and for assessing changes in air quality and air pollutant exposures, as affected by changes in ecosystem management and regulatory decisions. AMAD is responsible for providing a sound scientific and technical basis for regulatory policies based on air quality models to improve ambient air quality. The models developed by AMAD are being use

Practice-based learning and improvement: a curriculum in continuous quality improvement for surgery residents.

PubMed

Canal, David F; Torbeck, Laura; Djuricich, Alexander M

2007-05-01

Surgery residents can learn continuous quality improvement (CQI) principles within a structured curriculum and propose quality improvement projects. Curriculum within a surgical residency program. A university surgical residency program with multiple hospital training sites. Fifteen surgical residents during the dedicated research year. A curriculum in CQI that focuses on devising a quality improvement project. Resident self-reported attitudes about quality improvement and implementation of resident-initiated quality improvement projects. Resident survey data demonstrated an improvement in knowledge, self-efficacy, and experiences within CQI. Fifteen individual residents, within smaller teams, created 4 quality improvement projects worthy of implementation. A structured CQI curriculum can be successfully integrated into a general surgery residency program. Residents can learn the skill of constructing CQI project ideas within the framework of the plan-do-study-act cycle. Residents are eager to make improvements in their local system of residency. By giving them the tools to critically investigate systems improvement and a much needed ear to hear their concerns and suggestions for improvement, we found ways to potentially enhance patient care and developed ideas to improve the education of future surgeons. In doing so, we provided the residents with "buy-in" into their residency program, while addressing the competency of practice-based learning and improvement required by the Accreditation Council for Graduate Medical Education for resident education.

Marketing and Quality of Life: A Model for Improving Perinatal Health Status

ERIC Educational Resources Information Center

Dever, G. E. Alan; Smith, Leah T.; Stamps, Bunnie V.

2005-01-01

Introduction: A marketing/business model using non-traditional Quality of Life measures was developed to assess perinatal health status on a micro-geographic level. This perinatal health status needs assessment study for Georgia South Central Region was conducted for the years 1994-1999. The model may be applied to any geographic unit in the…

Improving patient safety through quality assurance.

PubMed

Raab, Stephen S

2006-05-01

Anatomic pathology laboratories use several quality assurance tools to detect errors and to improve patient safety. To review some of the anatomic pathology laboratory patient safety quality assurance practices. Different standards and measures in anatomic pathology quality assurance and patient safety were reviewed. Frequency of anatomic pathology laboratory error, variability in the use of specific quality assurance practices, and use of data for error reduction initiatives. Anatomic pathology error frequencies vary according to the detection method used. Based on secondary review, a College of American Pathologists Q-Probes study showed that the mean laboratory error frequency was 6.7%. A College of American Pathologists Q-Tracks study measuring frozen section discrepancy found that laboratories improved the longer they monitored and shared data. There is a lack of standardization across laboratories even for governmentally mandated quality assurance practices, such as cytologic-histologic correlation. The National Institutes of Health funded a consortium of laboratories to benchmark laboratory error frequencies, perform root cause analysis, and design error reduction initiatives, using quality assurance data. Based on the cytologic-histologic correlation process, these laboratories found an aggregate nongynecologic error frequency of 10.8%. Based on gynecologic error data, the laboratory at my institution used Toyota production system processes to lower gynecologic error frequencies and to improve Papanicolaou test metrics. Laboratory quality assurance practices have been used to track error rates, and laboratories are starting to use these data for error reduction initiatives.

National quality improvement policies and strategies in European healthcare systems.

PubMed

Spencer, E; Walshe, K

2009-02-01

This survey provides an overview of the development of policies and strategies for quality improvement in European healthcare systems, by mapping quality improvement policies and strategies, progress in their implementation, and early indications of their impact. A survey of quality improvement policies and strategies in healthcare systems of the European Union was conducted in 2005 for the first phase of the Methods of Assessing Response to Quality Improvement Strategies (MARQuIS) project. The survey, completed by 68 key experts in quality improvement from 24 European Union member states, represents their views and accounts of quality improvement policies and strategies in their healthcare systems. There are substantial international and intra-national variations in the development of healthcare quality improvement. Legal requirements for quality improvement strategies are an important driver of progress, along with the activities of national governments and professional associations and societies. Patient and service user organisations appear to have less influence on quality improvement. Wide variation in voluntary and mandatory coverage of quality improvement policies and strategies across sectors can potentially lead to varying levels of progress in implementation. Many healthcare organisations lack basic infrastructure for quality improvement. Some convergence can be observed in policies on quality improvement in healthcare. Nevertheless, the growth of patient mobility across borders, along with the implications of free market provisions for the organisation and funding of healthcare systems in European Union member states, require policies for cooperation and learning transfer.

Inter-disciplinary focus groups on telephone medicine: a quality improvement initiative.

PubMed

Whitson, Heather E; Hastings, S Nicole; McConnell, Eleanor S; Lekan-Rutledge, Deborah A

2006-09-01

To identify opportunities for quality improvement in long-term care telephone medicine using a model of interdisciplinary focus groups. Descriptive pilot project. Extended Care and Rehabilitation Center (ECRC), Durham VA Medical Center, Durham, North Carolina. Eight of 20 registered or licensed practical nurses and 4 of 6 geriatric medicine fellows voluntarily participated in this quality improvement project. In two 45-minute focus groups, participants were asked to discuss 3 open-ended questions related to telephone medicine. Comments were recorded during the discussions; topical themes were identified by the authors. Participant comments could be categorized into 4 domains describing the characteristics of nurses and physicians who practice the best telephone medicine: (1) provides the appropriate medical component of patient care; (2) appreciates contextual issues; (3) respects the other party's time and resources; and (4) possesses a collaborative attitude. The focus groups identified 5 quality improvement goals: (1) better nursing assessment and provision of patient information; (2) minimization of non-urgent calls after hours; (3) more decisive physician action (or explanation of inaction); (4) better physician familiarity with facility policies/logistics; and (5) better communication/paging system. The discussion format allowed nurses and physicians to identify and respond to potential barriers to improving quality in each area. Nurses and physicians appreciate unique aspects of long-term care telephone medicine and identify distinct barriers to improving practice. Interdisciplinary focus groups were a productive step toward understanding the telephone medicine experience in our facility and developing quality improvement interventions for both nurses and physicians.

[Quality improvement potential in the pharmaceutical industry].

PubMed

Nusser, Michael

2007-01-01

The performance of the German pharmaceutical industry, future challenges and obstacles to quality improvement are assessed from a systems-of-innovation perspective, using appropriate innovation indicators. The current close-to-market performance indicators paint an unfavourable picture. Early R&D indicators (e.g., publications, patents), however, reveal a positive trend. A lot of obstacles to quality improvements are identified with respect to knowledge base, knowledge/technology transfer, industrial R&D processes, capital markets, market attractiveness and both regulatory and political framework conditions. On this basis, recommendations will finally be derived to improve quality in the pharmaceutical industry.

Improving prehospital trauma care in Rwanda through continuous quality improvement: an interrupted time series analysis.

PubMed

Scott, John W; Nyinawankusi, Jeanne D'Arc; Enumah, Samuel; Maine, Rebecca; Uwitonze, Eric; Hu, Yihan; Kabagema, Ignace; Byiringiro, Jean Claude; Riviello, Robert; Jayaraman, Sudha

2017-07-01

Injury is a major cause of premature death and disability in East Africa, and high-quality pre-hospital care is essential for optimal trauma outcomes. The Rwandan pre-hospital emergency care service (SAMU) uses an electronic database to evaluate and optimize pre-hospital care through a continuous quality improvement programme (CQIP), beginning March 2014. The SAMU database was used to assess pre-hospital quality metrics including supplementary oxygen for hypoxia (O2), intravenous fluids for hypotension (IVF), cervical collar placement for head injuries (c-collar), and either splinting (splint) or administration of pain medications (pain) for long bone fractures. Targets of >90% were set for each metric and daily team meetings and monthly feedback sessions were implemented to address opportunities for improvement. These five pre-hospital quality metrics were assessed monthly before and after implementation of the CQIP. Met and unmet needs for O2, IVF, and c-collar were combined into a summative monthly SAMU Trauma Quality Scores (STQ score). An interrupted time series linear regression model compared the STQ score during 14 months before the CQIP implementation to the first 14 months after. During the 29-month study period 3,822 patients met study criteria. 1,028 patients needed one or more of the five studied interventions during the study period. All five endpoints had a significant increase between the pre-CQI and post-CQI periods (p<0.05 for all), and all five achieved a post-CQI average of at least 90% completion. The monthly composite STQ scores ranged from 76.5 to 97.9 pre-CQI, but tightened to 86.1-98.7 during the post-CQI period. Interrupted time series analysis of the STQ score showed that CQI programme led to both an immediate improvement of +6.1% (p=0.017) and sustained monthly improvements in care delivery-improving at a rate of 0.7% per month (p=0.028). The SAMU experience demonstrates the utility of a responsive, data-driven quality improvement

Improving organizational climate for quality and quality of care: does membership in a collaborative help?

PubMed

Nembhard, Ingrid M; Northrup, Veronika; Shaller, Dale; Cleary, Paul D

2012-11-01

The lack of quality-oriented organizational climates is partly responsible for deficiencies in patient-centered care and poor quality more broadly. To improve their quality-oriented climates, several organizations have joined quality improvement collaboratives. The effectiveness of this approach is unknown. To evaluate the impact of collaborative membership on organizational climate for quality and service quality. Twenty-one clinics, 4 of which participated in a collaborative sponsored by the Institute for Clinical Systems Improvement. Pre-post design. Preassessments occurred 2 months before the collaborative began in January 2009. Postassessments of service quality and climate occurred about 6 months and 1 year, respectively, after the collaborative ended in January 2010. We surveyed clinic employees (eg, physicians, nurses, receptionists, etc.) about the organizational climate and patients about service quality. Prioritization of quality care, high-quality staff relationships, and open communication as indicators of quality-oriented climate and timeliness of care, staff helpfulness, doctor-patient communication, rating of doctor, and willingness to recommend doctor's office as indicators of service quality. There was no significant effect of collaborative membership on quality-oriented climate and mixed effects on service quality. Doctors' ratings improved significantly more in intervention clinics than in control clinics, staff helpfulness improved less, and timeliness of care declined more. Ratings of doctor-patient communication and willingness to recommend doctor were not significantly different between intervention and comparison clinics. Membership in the collaborative provided no significant advantage for improving quality-oriented climate and had equivocal effects on service quality.

Assessing the Culture and Climate for Quality Improvement in the Work Environment. AIR 1994 Annual Forum Paper.

ERIC Educational Resources Information Center

Cameron, Kim; And Others

This study attempted to develop a reliable and valid instrument for assessing work environment and continuous quality improvement efforts in the non-academic sectors of colleges and universities particularly those institutions who have adopted Total Quality Management programs. A model of a work environment for continuous quality improvement was…

Assessing the Organizational Characteristics Influencing Quality Improvement Implementation in Saudi Hospitals.

PubMed

Shamsuddin Alaraki, Mohammad

The health care system in Saudi Arabia has serious problems with quality and safety that can be reduced through systematic quality improvement (QI) activities. Despite the use of different QI models to improve health care in Saudi hospitals during the last 2 decades, consistent improvements have not yet been achieved and the results are still far below expectations. This may reflect a problem in introducing and implementing the QI models in the local contexts. The objective of this study is to assess the extent of QI implementation in Saudi hospitals and to identify the organizational characteristics that make Saudi hospitals particularly challenging for QI. Understanding these characteristics can inform efforts to improve them and may lead to more successful implementation. A mixed-methods approach was conducted using 2 data collection tools: questionnaires and interviews. The quantitative phase (questionnaires) aimed to uncover the current level of QI implementation in Saudi hospital as measured by 7 critical dimensions adapted from the literature. The qualitative phase (interviews) aimed to understand the organizational characteristics that impede or underpin QI in Saudi hospitals. The QI implementation was found to be significantly poor across the 7 dimensions with average score ranging between 22.80 ± 0.57 and 2.11 ± 0.69 on a 5-point Likert scale and with P value of less than .05. We also found that the current level of QI implementation helped Saudi hospitals neither to improve "customer satisfaction" nor to achieve measurable improvements in "quality results" scoring significantly low at 2.11 ± 0.69 with P value of .000 and 2.47 ± 0.57 with P value of .000, respectively. Our study confirms the presence of a multitude of organizational barriers that impede QI in Saudi hospitals. These are related to organizational culture, human resources management, processes and systems, and structure. These 4 were found to have the strongest impact on QI in Saudi

Using quality indicators in anaesthesia: feeding back data to improve care.

PubMed

Benn, J; Arnold, G; Wei, I; Riley, C; Aleva, F

2012-07-01

After recent UK policy developments, considerable attention has been focused upon how clinical specialties measure and report on the quality of care delivered to patients. Defining the right indicators alone is insufficient to close the feedback loop. This narrative review aims to describe and synthesize a diverse body of research relevant to the question of how information from quality indicators can be fed back and used effectively to improve care. Anaesthesia poses certain challenges in the identification of valid outcome indicators sensitive to variations in anaesthetic care. Metrics collected during the immediate post-anaesthetic recovery period, such as patient temperature, patient-reported quality of recovery, and pain and nausea, provide potentially useful information for the anaesthetist, yet this information is not routinely fed back. Reviews of the effects of feeding back performance data to healthcare providers suggest that this may result in small to moderate positive effects upon outcomes and professional practice, with stronger effects where feedback is integrated within a broader quality improvement strategy. The dominant model for use of data within quality improvement is based upon the industrial process control approach, in which care processes are monitored continuously for process changes which are rapidly detectable for corrective action. From this review and experience of implementing these principles in practice, effective feedback from quality indicators is timely, credible, confidential, tailored to the recipient, and continuous. Considerable further work is needed to understand how information from quality indicators can be fed back in an effective way to clinicians and clinical units, in order to support revalidation and continuous improvement.

Valuing the health benefits of improving indoor air quality in residences.

PubMed

Chau, C K; Hui, W K; Tse, M S

2008-05-01

Unlike commercial premises, the indoor air quality of residences is more dynamic, uncontrolled, and prone to human behavioral changes. In consequence, measuring the health benefit gains derived from improving indoor air quality in residences is more complicated. To overcome this, a human thermal comfort model was first integrated with indoor microenvironment models, and subsequently linked with appropriate concentration-response and economic data for estimating the economic benefit gains derived from improving indoor air quality in residences for an adult and an elderly person. In this study, the development of the model is illustrated by using a typical residential apartment locating at the worst air quality neighborhood in Hong Kong and the daily weather profiles between 2002 and 2006. Three types of personal intervention measures were examined in the study: (i) using air cleaner in residence, (ii) changing time spent in residence, and (iii) relocating to a better air quality neighborhood. Our results revealed that employing air cleaners with windows closed in residence throughout the entire year was the most beneficial measure as it could provide the greatest annual health benefit gains. It would give a maximum of HK$2072 in 5-year cumulative benefit gain for an adult and HK$1700 for an elderly person. Employing air cleaners with windows closed in only cool season (October through March) could give the highest marginal return per dollar spent. The benefit gains would become smaller when windows were opened to a greater extent. By contrast, relocating to a better air quality neighborhood and changing the time spent in residence did not appeal to be beneficial intervention measures.

Improving the Yield and Nutritional Quality of Forage Crops

PubMed Central

Capstaff, Nicola M.; Miller, Anthony J.

2018-01-01

Despite being some of the most important crops globally, there has been limited research on forages when compared with cereals, fruits, and vegetables. This review summarizes the literature highlighting the significance of forage crops, the current improvements and some of future directions for improving yield and nutritional quality. We make the point that the knowledge obtained from model plant and grain crops can be applied to forage crops. The timely development of genomics and bioinformatics together with genome editing techniques offer great scope to improve forage crops. Given the social, environmental and economic importance of forage across the globe and especially in poorer countries, this opportunity has enormous potential to improve food security and political stability. PMID:29740468

How do Housing Subsidies Improve Quality of Life Among Homeless Adults? A Mediation Analysis.

PubMed

O'Connell, Maria; Sint, Kyaw; Rosenheck, Robert

2018-03-01

Supported housing, combining rent subsidies with intensive case management, is associated with improvements in quality of life of homeless adults, but factors mediating their impact on quality of life have not been studied. Twelve-month outcome data from a randomized trial of the Housing and Urban Development- Veterans Affairs Supported Housing program (HUD-VASH) showed that access to a housing rent subsidy plus intensive case management (ICM) was associated with greater improvement in subjective quality of life than ICM alone. Multiple mediation analyses were applied to identify variables that significantly mediated the relationship between receipt of housing voucher and improvements in quality of life. Significant mediating covariates were those whose 95% bias-corrected confidence intervals, when added to the model predicting improvement in quality of life, did not overlap zero. Increases in the number of days housed, size of social network, and availability of emotional support appear to mediate improvement in quality of life and account for 71% of the benefit attributable to having a rent subsidy. Improvement in subjective quality of life though housing subsidies is mediated by gains in both material and psychosocial factors. Mediating factors deserve special attention in supported housing services. © Society for Community Research and Action 2018.

MODELING CONSISTENCY, MODEL QUALITY, AND FOSTERING CONTINUED IMPROVEMENT

EPA Science Inventory

We believe that most contributors to and participants of the International Conference, Marine Waste Water Discharges 2000, "MWWD 2000," could agree that the overarching dream of the conference might be to chart a path the will lead to the best, long-term, applicable water quality...

How Quality Improvement Practice Evidence Can Advance the Knowledge Base.

PubMed

OʼRourke, Hannah M; Fraser, Kimberly D

2016-01-01

Recommendations for the evaluation of quality improvement interventions have been made in order to improve the evidence base of whether, to what extent, and why quality improvement interventions affect chosen outcomes. The purpose of this article is to articulate why these recommendations are appropriate to improve the rigor of quality improvement intervention evaluation as a research endeavor, but inappropriate for the purposes of everyday quality improvement practice. To support our claim, we describe the differences between quality improvement interventions that occur for the purpose of practice as compared to research. We then carefully consider how feasibility, ethics, and the aims of evaluation each impact how quality improvement interventions that occur in practice, as opposed to research, can or should be evaluated. Recommendations that fit the evaluative goals of practice-based quality improvement interventions are needed to support fair appraisal of the distinct evidence they produce. We describe a current debate on the nature of evidence to assist in reenvisioning how quality improvement evidence generated from practice might complement that generated from research, and contribute in a value-added way to the knowledge base.

Continuous quality improvement in the ambulatory endoscopy center.

PubMed

Johanson, John F

2002-04-01

What does quality assessment have to do with the practicing gastroenterologist? Why should one spend the time and effort to incorporate CQI activities into an already busy practice? First and foremost, quality improvement should directly benefit the patient by ensuring that they receive the highest quality of care possible. For example, comparing endoscopic use or outcomes, such as procedure success or complications, with national standards or other endoscopists in the same community may identify physicians who could benefit from additional training. Similar analyses may likewise identify outstanding physicians who might serve as resources for other physicians. Surveys of patient satisfaction may reveal deficiencies, which might be unknown to a physician who is otherwise technically excellent; deficiencies that would never have been uncovered by traditional measures of quality. Second, applying the techniques of CQI to study one's own practice can provide a competitive edge when vying for managed care or corporate contracts. In this regard, CQI can be used to document physician or practice performance through tracking of endoscopic use, procedure success and complication rates, and patient satisfaction. Finally, the rising concern among various patient advocacy groups has led to an increased emphasis on quality improvement, and in most cases it is a required activity as part of the accreditation process. Steps to quality improvement There is more to quality improvement than simply selecting and implementing a performance improvement plan. A number of steps have been suggested to achieve fundamental improvement in the quality of medical care [3]. The first is to use outcomes management for improvement rather than for judgment. One of the major criticisms of QA is that it will be used to judge physicians providing care. It is feared that CQI will be used to identify poor performers who will then be punished. This strategy leads to fear and inhibits an honest pursuit

Framing quality improvement tools and techniques in healthcare the case of improvement leaders' guides.

PubMed

Millar, Ross

2013-01-01

The purpose of this paper is to present a study of how quality improvement tools and techniques are framed within healthcare settings. The paper employs an interpretive approach to understand how quality improvement tools and techniques are mobilised and legitimated. It does so using a case study of the NHS Modernisation Agency Improvement Leaders' Guides in England. Improvement Leaders' Guides were framed within a service improvement approach encouraging the use of quality improvement tools and techniques within healthcare settings. Their use formed part of enacting tools and techniques across different contexts. Whilst this enactment was believed to support the mobilisation of tools and techniques, the experience also illustrated the challenges in distributing such approaches. The paper provides an important contribution in furthering our understanding of framing the "social act" of quality improvement. Given the ongoing emphasis on quality improvement in health systems and the persistent challenges involved, it also provides important information for healthcare leaders globally in seeking to develop, implement or modify similar tools and distribute leadership within health and social care settings.

Bringing quality improvement into the intensive care unit.

PubMed

McMillan, Tracy R; Hyzy, Robert C

2007-02-01

During the last several years, many governmental and nongovernmental organizations have championed the application of the principles of quality improvement to the practice of medicine, particularly in the area of critical care. To review the breadth of approaches to quality improvement in the intensive care unit, including measures such as mortality and length of stay, and the use of protocols, bundles, and the role of large, multiple-hospital collaboratives. Several agencies have participated in the application of the quality movement to medicine, culminating in the development of standards such as the intensive care unit core measures of the Joint Commission on Accreditation of Healthcare Organizations. Although "zero defects" may not be possible in all measurable variables of quality in the intensive care unit, several measures, such as catheter-related bloodstream infections, can be significantly reduced through the implementation of improved processes of care, such as care bundles. Large, multiple-center, quality improvement collaboratives, such as the Michigan Keystone Intensive Care Unit Project, may be particularly effective in improving the quality of care by creating a "bandwagon effect" within a geographic region. The quality revolution is having a significant effect in the critical care unit and is likely to be facilitated by the transition to the electronic medical record.

Does Winning a Pay-for-Performance Bonus Improve Subsequent Quality Performance? Evidence from the Hospital Quality Incentive Demonstration

PubMed Central

Ryan, Andrew; Sutton, Matthew; Doran, Tim

2014-01-01

Objective To test whether receiving a financial bonus for quality in the Premier Hospital Quality Incentive Demonstration (HQID) stimulated subsequent quality improvement. Data Hospital-level data on process-of-care quality from Hospital Compare for the treatment of acute myocardial infarction (AMI), heart failure, and pneumonia for 260 hospitals participating in the HQID from 2004 to 2006; receipt of quality bonuses in the first 3 years of HQID from the Premier Inc. website; and hospital characteristics from the 2005 American Hospital Association Annual Survey. Study Design Under the HQID, hospitals received a 1 percent bonus on Medicare payments for scoring between the 80th and 90th percentiles on a composite quality measure, and a 2 percent bonus for scoring at the 90th percentile or above. We used a regression discontinuity design to evaluate whether hospitals with quality scores just above these payment thresholds improved more in the subsequent year than hospitals with quality scores just below the thresholds. In alternative specifications, we examined samples of hospitals scoring within 3, 5, and 10 percentage point “bandwidths” of the thresholds. We used a Generalized Linear Model to estimate whether the relationship between quality and lagged quality was discontinuous at the lagged thresholds required for quality bonuses. Principal Findings There were no statistically significant associations between receipt of a bonus and subsequent quality performance, with the exception of the 2 percent bonus for AMI in 2006 using the 5 percentage point bandwidth (0.8 percentage point increase, p < .01), and the 1 percent bonus for pneumonia in 2005 using all bandwidths (3.7 percentage point increase using the 3 percentage point bandwidth, p < .05). Conclusions We found little evidence that hospitals' receipt of quality bonuses was associated with subsequent improvement in performance. This raises questions about whether winning in pay-for-performance programs

An Overview of Atmospheric Chemistry and Air Quality Modeling

NASA Technical Reports Server (NTRS)

Johnson, Matthew S.

2017-01-01

This presentation will include my personal research experience and an overview of atmospheric chemistry and air quality modeling to the participants of the NASA Student Airborne Research Program (SARP 2017). The presentation will also provide examples on ways to apply airborne observations for chemical transport (CTM) and air quality (AQ) model evaluation. CTM and AQ models are important tools in understanding tropospheric-stratospheric composition, atmospheric chemistry processes, meteorology, and air quality. This presentation will focus on how NASA scientist currently apply CTM and AQ models to better understand these topics. Finally, the importance of airborne observation in evaluating these topics and how in situ and remote sensing observations can be used to evaluate and improve CTM and AQ model predictions will be highlighted.

Voice Quality Modelling for Expressive Speech Synthesis

PubMed Central

Socoró, Joan Claudi

2014-01-01

This paper presents the perceptual experiments that were carried out in order to validate the methodology of transforming expressive speech styles using voice quality (VoQ) parameters modelling, along with the well-known prosody (F 0, duration, and energy), from a neutral style into a number of expressive ones. The main goal was to validate the usefulness of VoQ in the enhancement of expressive synthetic speech in terms of speech quality and style identification. A harmonic plus noise model (HNM) was used to modify VoQ and prosodic parameters that were extracted from an expressive speech corpus. Perception test results indicated the improvement of obtained expressive speech styles using VoQ modelling along with prosodic characteristics. PMID:24587738

[Quality assurance and quality improvement in medical practice. Part 3: Clinical audit in medical practice].

PubMed

Godény, Sándor

2012-02-05

The first two articles in the series were about the definition of quality in healthcare, the quality approach, the importance of quality assurance, the advantages of quality management systems and the basic concepts and necessity of evidence based medicine. In the third article the importance and basic steps of clinical audit are summarised. Clinical audit is an integral part of quality assurance and quality improvement in healthcare, that is the responsibility of any practitioner involved in medical practice. Clinical audit principally measures the clinical practice against clinical guidelines, protocols and other professional standards, and sometimes induces changes to ensure that all patients receive care according to principles of the best practice. The clinical audit can be defined also as a quality improvement process that seeks to identify areas for service improvement, develop and carry out plans and actions to improve medical activity and then by re-audit to ensure that these changes have an effect. Therefore, its aims are both to stimulate quality improvement interventions and to assess their impact in order to develop clinical effectiveness. At the end of the article key points of quality assurance and improvement in medical practice are summarised.

Electronic health records improve clinical note quality.

PubMed

Burke, Harry B; Sessums, Laura L; Hoang, Albert; Becher, Dorothy A; Fontelo, Paul; Liu, Fang; Stephens, Mark; Pangaro, Louis N; O'Malley, Patrick G; Baxi, Nancy S; Bunt, Christopher W; Capaldi, Vincent F; Chen, Julie M; Cooper, Barbara A; Djuric, David A; Hodge, Joshua A; Kane, Shawn; Magee, Charles; Makary, Zizette R; Mallory, Renee M; Miller, Thomas; Saperstein, Adam; Servey, Jessica; Gimbel, Ronald W

2015-01-01

The clinical note documents the clinician's information collection, problem assessment, clinical management, and its used for administrative purposes. Electronic health records (EHRs) are being implemented in clinical practices throughout the USA yet it is not known whether they improve the quality of clinical notes. The goal in this study was to determine if EHRs improve the quality of outpatient clinical notes. A five and a half year longitudinal retrospective multicenter quantitative study comparing the quality of handwritten and electronic outpatient clinical visit notes for 100 patients with type 2 diabetes at three time points: 6 months prior to the introduction of the EHR (before-EHR), 6 months after the introduction of the EHR (after-EHR), and 5 years after the introduction of the EHR (5-year-EHR). QNOTE, a validated quantitative instrument, was used to assess the quality of outpatient clinical notes. Its scores can range from a low of 0 to a high of 100. Sixteen primary care physicians with active practices used QNOTE to determine the quality of the 300 patient notes. The before-EHR, after-EHR, and 5-year-EHR grand mean scores (SD) were 52.0 (18.4), 61.2 (16.3), and 80.4 (8.9), respectively, and the change in scores for before-EHR to after-EHR and before-EHR to 5-year-EHR were 18% (p<0.0001) and 55% (p<0.0001), respectively. All the element and grand mean quality scores significantly improved over the 5-year time interval. The EHR significantly improved the overall quality of the outpatient clinical note and the quality of all its elements, including the core and non-core elements. To our knowledge, this is the first study to demonstrate that the EHR significantly improves the quality of clinical notes. © The Author 2014. Published by Oxford University Press on behalf of the American Medical Informatics Association.

Large-scale structure prediction by improved contact predictions and model quality assessment.

PubMed

Michel, Mirco; Menéndez Hurtado, David; Uziela, Karolis; Elofsson, Arne

2017-07-15

Accurate contact predictions can be used for predicting the structure of proteins. Until recently these methods were limited to very big protein families, decreasing their utility. However, recent progress by combining direct coupling analysis with machine learning methods has made it possible to predict accurate contact maps for smaller families. To what extent these predictions can be used to produce accurate models of the families is not known. We present the PconsFold2 pipeline that uses contact predictions from PconsC3, the CONFOLD folding algorithm and model quality estimations to predict the structure of a protein. We show that the model quality estimation significantly increases the number of models that reliably can be identified. Finally, we apply PconsFold2 to 6379 Pfam families of unknown structure and find that PconsFold2 can, with an estimated 90% specificity, predict the structure of up to 558 Pfam families of unknown structure. Out of these, 415 have not been reported before. Datasets as well as models of all the 558 Pfam families are available at http://c3.pcons.net/ . All programs used here are freely available. arne@bioinfo.se. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

Reductions in cannabis use are associated with improvements in anxiety, depression, and sleep quality, but not quality of life.

PubMed

Hser, Yih-Ing; Mooney, Larissa J; Huang, David; Zhu, Yuhui; Tomko, Rachel L; McClure, Erin; Chou, Chih-Ping; Gray, Kevin M

2017-10-01

This study examined the longitudinal association between reductions in cannabis use and changes in anxiety, depression, sleep quality, and quality of life. Secondary analyses were conducted based on data from a cannabis use disorder medication trial in 302 adults (ages 18-50). Changes in symptoms of anxiety and depression, sleep quality, and quality of life were assessed in relation to changes in cannabis use during the 12-week trial of treatment. Based on the slope of individual cannabis use trajectory, the sample was classified into two groups (Cannabis Use Reduction, n=152 vs. Cannabis Use Increase, n=150) which was included as a binary covariate in subsequent modeling. Controlling for demographics (age, gender, race/ethnicity), treatment condition, and time-varying tobacco and alcohol use, separate latent growth curve models showed a significant association between the Cannabis Use Reduction group and improvement (i.e., lower values in slope) in anxiety (β=-0.09, SE=0.04; p<0.05), depression (β=-0.11, SE=0.04; p<0.01), and sleep quality (β=-0.07, SE=0.03; p<0.05) over the observation period, but not in quality of life. These results indicate a longitudinal relationship between reductions in cannabis use and improvements in anxiety, depression, and sleep quality. Clinicians treating patients with co-occurring cannabis use and problems with anxiety, depression, or sleep quality should attend to cannabis use reduction as a component of treatment. Copyright © 2017 Elsevier Inc. All rights reserved.

The role of clinical governance as a strategy for quality improvement in primary care.

PubMed Central

Campbell, Stephen M; Sweeney, Grace M

2002-01-01

This power considers the process of implementing clinical governance in primary care and its impact on quality improvement. It discuss how clinical governance is being implemented both at the level of Primary Care Organisations and general practices, and the challenges to implementing clinical governance. It also suggests a model for promoting the factors that will help clinical governance improve quality of care. The experience of implementing clinical governance is broadly positive to date. However, the government needs to match its commitment to a ten-year programme of change with realistic timetables to secure the cultural and organisational changes needed to improve quality of care. PMID:12389764

Quality of care in reproductive health programmes: education for quality improvement.

PubMed

Kwast, B E

1998-09-01

The provision of high quality maternity care will make the difference between life and death or lifelong maiming for millions of pregnant women. Barriers preventing access to affordable, appropriate, acceptable and effective services, and lack of facilities providing high quality obstetric care result in about 1600 maternal deaths every day. Education in its broadest sense is required at all levels and sectors of society to enhance policy formulation that will strengthen programme commitment, improve services with a culturally sensitive approach and ensure appropriate delegation of responsibility to health staff at peripheral levels. This paper is the second in series of three which addresses quality of care. The first (Kwast 1998) contains an overview of concepts, assessments, barriers and improvements of quality of care. The third article will describe selected aspects of monitoring and evaluation of quality of care.

Integrated management of depression: improving system quality and creating effective interfaces.

PubMed

Myette, Thomas L

2008-04-01

Depression is a chronic recurrent condition and is a leading cause of work disability. Improving occupational outcomes for depression will require an integrated approach that incorporates best practices from the clinical, community, and workplace systems. This article briefly reviews recent quality improvement initiatives and promising practices in each system and then shifts to the importance of systems integration. An integrated chronic care model uses a sophisticated case management process to support essential relationships, facilitate key plans, and efficiently link the three systems to optimize clinical, economic, and occupational outcomes. An expanded role for employers and their agents in the management of depression and other chronic diseases is seen as fundamental to maintaining a healthy and productive workforce. To improve occupational outcomes for depression by integrating best practices from the clinical, community, and workplace systems. After a brief review of quality improvement initiatives and promising practices in each system, an integrated chronic care model is introduced. A case management process that links critical systems, supports essential relationships, and facilitates key plans is expected to result in improvements in clinical, economic, and occupational outcomes. Employers should be more engaged with clinical and community partners in the prevention and control of depression in affected employees.

42 CFR 441.474 - Quality assurance and improvement plan.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 42 Public Health 4 2010-10-01 2010-10-01 false Quality assurance and improvement plan. 441.474... SERVICES Optional Self-Directed Personal Assistance Services Program § 441.474 Quality assurance and improvement plan. (a) The State must provide a quality assurance and improvement plan that describes the State...

42 CFR 441.474 - Quality assurance and improvement plan.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 42 Public Health 4 2011-10-01 2011-10-01 false Quality assurance and improvement plan. 441.474... SERVICES Optional Self-Directed Personal Assistance Services Program § 441.474 Quality assurance and improvement plan. (a) The State must provide a quality assurance and improvement plan that describes the State...

42 CFR 441.474 - Quality assurance and improvement plan.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 42 Public Health 4 2013-10-01 2013-10-01 false Quality assurance and improvement plan. 441.474... SERVICES Optional Self-Directed Personal Assistance Services Program § 441.474 Quality assurance and improvement plan. (a) The State must provide a quality assurance and improvement plan that describes the State...

42 CFR 441.474 - Quality assurance and improvement plan.

Code of Federal Regulations, 2012 CFR

2012-10-01

... 42 Public Health 4 2012-10-01 2012-10-01 false Quality assurance and improvement plan. 441.474... SERVICES Optional Self-Directed Personal Assistance Services Program § 441.474 Quality assurance and improvement plan. (a) The State must provide a quality assurance and improvement plan that describes the State...

42 CFR 441.474 - Quality assurance and improvement plan.

Code of Federal Regulations, 2014 CFR

2014-10-01

... 42 Public Health 4 2014-10-01 2014-10-01 false Quality assurance and improvement plan. 441.474... SERVICES Optional Self-Directed Personal Assistance Services Program § 441.474 Quality assurance and improvement plan. (a) The State must provide a quality assurance and improvement plan that describes the State...

Quality Rating and Improvement System State Evaluations and Research

ERIC Educational Resources Information Center

Ferguson, Daniel

2016-01-01

A quality rating and improvement system (QRIS) is a method used by states and local jurisdictions to assess the level of quality of child care and early education programs, improve quality, and convey quality ratings to parents and other consumers. A typical QRIS incorporates the following components: quality standards for participating providers;…

Competency in health care management: a training model in epidemiologic methods for assessing and improving the quality of clinical practice through evidence-based decision making.

PubMed

Hudak, R P; Jacoby, I; Meyer, G S; Potter, A L; Hooper, T I; Krakauer, H

1997-01-01

This article describes a training model that focuses on health care management by applying epidemiologic methods to assess and improve the quality of clinical practice. The model's uniqueness is its focus on integrating clinical evidence-based decision making with fundamental principles of resource management to achieve attainable, cost-effective, high-quality health outcomes. The target students are current and prospective clinical and administrative executives who must optimize decision making at the clinical and managerial levels of health care organizations.

Improving quality of care in general practices by self-audit, benchmarking and quality circles.

PubMed

Mahlknecht, Angelika; Abuzahra, Muna E; Piccoliori, Giuliano; Enthaler, Nina; Engl, Adolf; Sönnichsen, Andreas

2016-10-01

Guideline adherence of general practitioners (GP) regarding treatment of chronic conditions shows room for improvement. Thus, concepts have to be designed to promote quality of care. The aim of the interventional study "Improvement of Quality by Benchmarking" was to assess whether quality can be improved by self-auditing, benchmarking and quality circles in Salzburg (Austria) and South Tyrol (Italy). In this publication we present the Austrian results. Quality indicators were developed in a consensus process for eight chronic diseases based on pre-existing quality management systems. A quality score consisting of 35 indicators was calculated (0-5 points per indicator depending on fulfilment, maximum 175 points). Data were extracted from the electronic health records of participating practices in 2012, 2013 and 2014. A statistical pre-post analysis was performed using Wilcoxon signed-rank tests. A total of 20 GPs participated in the project. The mean quality score increased from 62.0 at baseline to 84.0 at the second follow-up (p = 0.003). Regarding the individual quality indicators, strong improvements were achieved between baseline and first follow-up, especially in process indicators concerning documentation. Between the first and second follow-up, quality remained in most cases at the same level. The validity of results is limited because of structural and technical problems. Due to the uncontrolled pre-post design we cannot exclude external influences on the results. Nevertheless, the intervention was able to improve measured quality of care. Barriers were detected that should be considered in a possible implementation of quality control programs.

Improved self-management skills predict improvements in quality of life and depression in patients with chronic disorders.

PubMed

Musekamp, Gunda; Bengel, Jürgen; Schuler, Michael; Faller, Hermann

2016-08-01

Self-management programs aim to improve patients' skills to manage their chronic condition in everyday life. Improvement in self-management is assumed to bring about improvements in more distal outcomes, such as quality of life. This study aimed to test the hypothesis that changes in self-reported self-management skills observed after participation in self-management programs predict changes in both quality of life and depressive symptoms three months later. Using latent change modeling, the relationship between changes in latent variables over three time points (start and end of rehabilitation, after three months) was analysed. The sample comprised 580 patients with different chronic conditions treated in inpatient rehabilitation clinics. The influence of additional predictor variables (age, sex, perceived social support) and type of disorder as a moderator variable was also tested. Changes in self-reported self-management skills after rehabilitation predicted changes in both quality of life and depressive symptoms at the end of rehabilitation and the 3 months follow-up. These relationships remained significant after the inclusion of other predictor variables and were similar across disorders. The findings provide support for the hypothesis that improvements in proximal outcomes of self-management programs may foster improvements in distal outcomes. Further studies should investigate treatment mechanisms. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Healthcare quality improvement -- policy implications and practicalities.

PubMed

Esain, Ann Elizabeth; Williams, Sharon J; Gakhal, Sandeep; Caley, Lynne; Cooke, Matthew W

2012-01-01

This article aims to explore quality improvement (QI) at individual, group and organisational level. It also aims to identify restraining forces using formative evaluation and discuss implications for current UK policy, particularly quality, innovation, productivity and prevention. Learning events combined with work-based projects, focusing on individual and group responses are evaluated. A total of 11 multi-disciplinary groups drawn from NHS England healthcare Trusts (self-governing operational groups) were sampled. These Trusts have different geographic locations and participants were drawn from primary, secondary and commissioning arms. Mixed methods: questionnaires, observations and reflective accounts were used. The paper finds that solution versus problem identification causes confusion and influences success. Time for problem solving to achieve QI was absent. Feedback and learning structures are often not in place or inflexible. Limited focus on patient-centred services may be related to past assumptions regarding organisational design, hence assumptions and models need to be understood and challenged. The authors revise the Plan, Do, Study; Act (PDSA) model by adding an explicit problem identification step and hence avoiding solution-focused habits; demonstrating the need for more formative evaluations to inform managers and policy makers about healthcare QI processes. - Although UK-centric, the quality agenda is a USA and European theme, findings may help those embarking on this journey or those struggling with QI.

Key interventions and quality indicators for quality improvement of STEMI care: a RAND Delphi survey.

PubMed

Aeyels, Daan; Sinnaeve, Peter R; Claeys, Marc J; Gevaert, Sofie; Schoors, Danny; Sermeus, Walter; Panella, Massimiliano; Coeckelberghs, Ellen; Bruyneel, Luk; Vanhaecht, Kris

2017-12-13

Identification, selection and validation of key interventions and quality indicators for improvement of in hospital quality of care for ST-elevated myocardial infarction (STEMI) patients. A structured literature review was followed by a RAND Delphi Survey. A purposively selected multidisciplinary expert panel of cardiologists, nurse managers and quality managers selected and validated key interventions and quality indicators prior for quality improvement for STEMI. First, 34 experts (76% response rate) individually assessed the appropriateness of items to quality improvement on a nine point Likert scale. Twenty-seven key interventions, 16 quality indicators at patient level and 27 quality indicators at STEMI care programme level were selected. Eighteen additional items were suggested. Experts received personal feedback, benchmarking their score with group results (response rate, mean, median and content validity index). Consequently, 32 experts (71% response rate) openly discussed items with an item-content validity index above 75%. By consensus, the expert panel validated a final set of 25 key interventions, 13 quality indicators at patient level and 20 quality indicators at care programme level prior for improvement of in hospital care for STEMI. A structured literature review and multidisciplinary expertise was combined to validate a set of key interventions and quality indicators prior for improvement of care for STEMI. The results allow researchers and hospital staff to evaluate and support quality improvement interventions in a large cohort within the context of a health care system.

Attitudes and Opinions of Canadian Nephrologists Toward Continuous Quality Improvement Options.

PubMed

Iskander, Carina; McQuillan, Rory; Nesrallah, Gihad; Rabbat, Christian; Mendelssohn, David C

2017-01-01

A shift to holding individual physicians accountable for patient outcomes, rather than facilities, is intuitively attractive to policy makers and to the public. We were interested in nephrologists' attitudes to, and awareness of, quality metrics and how nephrologists would view a potential switch from the current model of facility-based quality measurement and reporting to publically available reports at the individual physician level. The study was conducted using a web-based survey instrument (Online Appendix 1). The survey was initially pilot tested on a group of 8 nephrologists from across Canada. The survey was then finalized and e-mailed to 330 nephrologists through the Canadian Society of Nephrology (CSN) e-mail distribution list. The 127 respondents were 80% university based, and 33% were medical/dialysis directors. The response rate was 43%. Results demonstrate that 89% of Canadian nephrologists are engaged in efforts to improve the quality of patient care. A minority of those surveyed (29%) had training in quality improvement. They feel accountable for this and would welcome the inclusion of patient-centered metrics of care quality. Support for public reporting as an effective strategy on an individual nephrologist level was 30%. Support for public reporting of individual nephrologist performance was low. The care of nephrology patients will be best served by the continued development of a critical mass of physicians trained in patient safety and quality improvement, by focusing on patient-centered metrics of care delivery, and by validating that all proposed new methods are shown to improve patient care and outcomes.

Quality Function Deployment Application for Improving Quality of Education in Business Schools

ERIC Educational Resources Information Center

Sagnak, Muhittin; Ada, Nesrin; Kazancoglu, Yigit; Tayaksi, Cansu

2017-01-01

There is an increasing competition between universities globally to attract students. At this point, to compete, it is imperative for the universities to improve the quality of education provided for their stakeholders, including students, parents, and employers. For improving the quality of education, first of all, the universities should make…

Title IV Quality Control Project, Stage II. Management Option II: Delivery System Quality Improvements.

ERIC Educational Resources Information Center

Advanced Technology, Inc., Reston, VA.

Stage Two of the Title IV Quality Control Project is an integrated study of quality in five related Federal financial aid programs for postsecondary students. Section 1 of the paper establishes a framework for defining quality improvements, in order to identify the types of changes that would tend to improve quality across all facets of the…

Improving the geomagnetic field modeling with a selection of high-quality archaeointensity data

NASA Astrophysics Data System (ADS)

Pavon-Carrasco, Francisco Javier; Gomez-Paccard, Miriam; Herve, Gwenael; Osete, Maria Luisa; Chauvin, Annick

2014-05-01

Geomagnetic field reconstructions for the last millennia are based on archeomagnetic data. However, the scatter of the archaeointensity data is very puzzling and clearly suggests that some of the intensity data might not be reliable. In this work we apply different selection criteria to the European and Western Asian archaeointensity data covering the last three millennia in order to investigate if the data selection affects geomagnetic field models results. Thanks to the recently developed archeomagnetic databases, new valuable information related to the methodology used to determine the archeointensity data is now available. We therefore used this information to rank the archaeointensity data in four quality categories depending on the methodology used during the laboratory treatment of the samples and on the number of specimens retained to calculate the mean intensities. Results show how the intensity geomagnetic field component given by the regional models hardly depends on the selected quality data used. When all the available data are used a different behavior of the geomagnetic field is observed in Western and Eastern Europe. However, when the regional model is obtained from a selection of high-quality intensity data the same features are observed at the European scale.

Assessing organizational readiness for depression care quality improvement: relative commitment and implementation capability.

PubMed

Rubenstein, Lisa V; Danz, Marjorie S; Crain, A Lauren; Glasgow, Russell E; Whitebird, Robin R; Solberg, Leif I

2014-12-02

Depression is a major cause of morbidity and cost in primary care patient populations. Successful depression improvement models, however, are complex. Based on organizational readiness theory, a practice's commitment to change and its capability to carry out the change are both important predictors of initiating improvement. We empirically explored the links between relative commitment (i.e., the intention to move forward within the following year) and implementation capability. The DIAMOND initiative administered organizational surveys to medical and quality improvement leaders from each of 83 primary care practices in Minnesota. Surveys preceded initiation of activities directed at implementation of a collaborative care model for improving depression care. To assess implementation capability, we developed composites of survey items for five types of organizational factors postulated to be collaborative care barriers and facilitators. To assess relative commitment for each practice, we averaged leader ratings on an identical survey question assessing practice priorities. We used multivariable regression analyses to assess the extent to which implementation capability predicted relative commitment. We explored whether relative commitment or implementation capability measures were associated with earlier initiation of DIAMOND improvements. All five implementation capability measures independently predicted practice leaders' relative commitment to improving depression care in the following year. These included the following: quality improvement culture and attitudes (p = 0.003), depression culture and attitudes (p <0.001), prior depression quality improvement activities (p <0.001), advanced access and tracking capabilities (p = 0.03), and depression collaborative care features in place (p = 0.03). Higher relative commitment (p = 0.002) and prior depression quality improvement activities appeared to be associated with earlier participation in the DIAMOND

Bayesian Analysis of a Reduced-Form Air Quality Model

EPA Science Inventory

Numerical air quality models are being used for assessing emission control strategies for improving ambient pollution levels across the globe. This paper applies probabilistic modeling to evaluate the effectiveness of emission reduction scenarios aimed at lowering ground-level oz...

Engaging Clinical Nurses in Quality Improvement Projects.

PubMed

Moore, Susan; Stichler, Jaynelle F

2015-10-01

Clinical nurses have the knowledge and expertise required to provide efficient and proficient patient care. Time and knowledge deficits can prevent nurses from developing and implementing quality improvement or evidence-based practice projects. This article reviews a process for professional development of clinical nurses that helped them to define, implement, and analyze quality improvement or evidence-based practice projects. The purpose of this project was to educate advanced clinical nurses to manage a change project from inception to completion, using the Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) Change Acceleration Process as a framework. One-to-one mentoring and didactic in-services advanced the knowledge, appreciation, and practice of advanced practice clinicians who completed multiple change projects. The projects facilitated clinical practice changes, with improved patient outcomes; a unit cultural shift, with appreciation of quality improvement and evidence-based projects; and engagement with colleagues. Project outcomes were displayed in poster presentations at a hospital exposition for knowledge dissemination. Copyright 2015, SLACK Incorporated.

Short and long term improvements in quality of chronic care delivery predict program sustainability.

PubMed

Cramm, Jane Murray; Nieboer, Anna Petra

2014-01-01

Empirical evidence on sustainability of programs that improve the quality of care delivery over time is lacking. Therefore, this study aims to identify the predictive role of short and long term improvements in quality of chronic care delivery on program sustainability. In this longitudinal study, professionals [2010 (T0): n=218, 55% response rate; 2011 (T1): n=300, 68% response rate; 2012 (T2): n=265, 63% response rate] from 22 Dutch disease-management programs completed surveys assessing quality of care and program sustainability. Our study findings indicated that quality of chronic care delivery improved significantly in the first 2 years after implementation of the disease-management programs. At T1, overall quality, self-management support, delivery system design, and integration of chronic care components, as well as health care delivery and clinical information systems and decision support, had improved. At T2, overall quality again improved significantly, as did community linkages, delivery system design, clinical information systems, decision support and integration of chronic care components, and self-management support. Multilevel regression analysis revealed that quality of chronic care delivery at T0 (p<0.001) and quality changes in the first (p<0.001) and second (p<0.01) years predicted program sustainability. In conclusion this study showed that disease-management programs based on the chronic care model improved the quality of chronic care delivery over time and that short and long term changes in the quality of chronic care delivery predicted the sustainability of the projects. Copyright © 2013 The Authors. Published by Elsevier Ltd.. All rights reserved.

Process Improvements in Training Device Acceptance Testing: A Study in Total Quality Management

DTIC Science & Technology

1990-12-12

Quality Management , a small group of Government and industry specialists examined the existing training device acceptance test process for potential improvements. The agreed-to mission of the Air Force/Industry partnership was to continuously identify and promote implementable approaches to minimize the cost and time required for acceptance testing while ensuring that validated performance supports the user training requirements. Application of a Total Quality process improvement model focused on the customers and their requirements, analyzed how work was accomplished, and

Management systems, patient quality improvement, resource availability, and substance abuse treatment quality.

PubMed

Fields, Dail; Roman, Paul M; Blum, Terry C

2012-06-01

To examine the relationships among general management systems, patient-focused quality management/continuous process improvement (TQM/CPI) processes, resource availability, and multiple dimensions of substance use disorder (SUD) treatment. Data are from a nationally representative sample of 221 SUD treatment centers through the National Treatment Center Study (NTCS). The design was a cross-sectional field study using latent variable structural equation models. The key variables are management practices, TQM/continuous quality improvement (CQI) practices, resource availability, and treatment center performance. Interviews and questionnaires provided data from treatment center administrative directors and clinical directors in 2007-2008. Patient-focused TQM/CQI practices fully mediated the relationship between internal management practices and performance. The effects of TQM/CQI on performance are significantly larger for treatment centers with higher levels of staff per patient. Internal management practices may create a setting that supports implementation of specific patient-focused practices and protocols inherent to TQM/CQI processes. However, the positive effects of internal management practices on treatment center performance occur through use of specific patient-focused TQM/CPI practices and have more impact when greater amounts of supporting resources are present. © Health Research and Educational Trust.

Quality improvement in pediatric sepsis.

PubMed

Melendez, Elliot; Bachur, Richard

2015-06-01

Although there is abundant literature detailing the impact of quality improvement in adult sepsis, the pediatric literature is lacking. Despite consensus definitions for sepsis, which patients along the sepsis spectrum should receive aggressive management and the exact onset of sepsis ('time zero') are not clearly established. In the adult emergency department (ED), sepsis onset is defined as the time of entry into the ED; however, this definition cannot be applied to hospitalized patients or patients who evolve during their ED course. Since the time of sepsis onset will dictate the timeliness of subsequent process measures, the variable definitions in the literature make it difficult to generalize findings among prior studies. Despite the variation in defining time zero, aggressive fluid administration, timely antibiotics, and compliance with sepsis bundles have been shown to improve mortality and to reduce hospital and intensive care length of stay. In addition, early identification tools show promise in beginning to define sepsis onset and retrospective search tools may allow improved case finding of those children of concern for sepsis. Quality improvement in pediatric sepsis is evolving. As we continue to define quality measures, we must standardize the definition of sepsis onset. This definition should be applicable to any treatment venue to ensure measures can be evaluated across all settings. In addition, we must delineate which patients along the sepsis spectrum should be candidates for timely interventions and standardize other outcome measures beyond mortality.

Improving quality-of-life outcomes for patients with cancer through mediating effects of depressive symptoms and functional status: a three-path mediation model.

PubMed

Hsu, Mei-Chi; Tu, Chun-Hsien

2014-09-01

To test a hypothetical three-path mediation model evaluating the effects of functional status and depressive symptoms on the relationship between fatigue and quality of life in patients with cancer on the basis of the Theory of Unpleasant Symptoms. Patients with cancer often experience two or more concurrent, interrelated, mutually influential symptoms. Multiple unpleasant symptoms that have been proposed as mediating variables affecting quality of life in a model proposed in recent cancer studies are scanty. This study was a cross-sectional, descriptive, correlational design. Three hundred and twenty-six patients with cancer from oncology clinics were recruited in Taiwan between 2010-2011. Mediation models were tested and confirmed by applying structural modelling using Analysis of Moment Structures and the joint significance test. Fatigue affects patient quality of life directly or indirectly through functional status and depressive symptoms. These two mediating variables exhibited direct effects on quality of life. A path analysis approach revealed that 47·28 and 67·70% of the total effects of functional status and depressive symptoms, respectively, on the quality-of-life mediation models are attributable to 29·6 and 44·7% of the total effects between fatigue and quality of life, which mediated through two mediators, respectively. Quality of life may be enhanced by simultaneously improving physiological and psychological factors. An understanding of mediating effects is valuable in nursing care of patients with cancer, particularly in the early phase of treatment or in newly diagnosed stages I-III or recently treated patients with cancer in different disease stages. © 2013 John Wiley & Sons Ltd.

The swiss neonatal quality cycle, a monitor for clinical performance and tool for quality improvement

PubMed Central

2013-01-01

Background We describe the setup of a neonatal quality improvement tool and list which peer-reviewed requirements it fulfils and which it does not. We report on the so-far observed effects, how the units can identify quality improvement potential, and how they can measure the effect of changes made to improve quality. Methods Application of a prospective longitudinal national cohort data collection that uses algorithms to ensure high data quality (i.e. checks for completeness, plausibility and reliability), and to perform data imaging (Plsek’s p-charts and standardized mortality or morbidity ratio SMR charts). The collected data allows monitoring a study collective of very low birth-weight infants born from 2009 to 2011 by applying a quality cycle following the steps ′guideline – perform - falsify – reform′. Results 2025 VLBW live-births from 2009 to 2011 representing 96.1% of all VLBW live-births in Switzerland display a similar mortality rate but better morbidity rates when compared to other networks. Data quality in general is high but subject to improvement in some units. Seven measurements display quality improvement potential in individual units. The methods used fulfil several international recommendations. Conclusions The Quality Cycle of the Swiss Neonatal Network is a helpful instrument to monitor and gradually help improve the quality of care in a region with high quality standards and low statistical discrimination capacity. PMID:24074151

Evaluation of a Quality Improvement Resource for Public Health Practitioners

PubMed Central

Marcial, Laura H.; Brown, Stephen; Throop, Cynthia; Pina, Jamie

2017-01-01

Objectives: Quality improvement is a critical mechanism to manage public health agency performance and to strengthen accountability for public funds. The objective of this study was to evaluate a relatively new quality improvement resource, the Public Health Quality Improvement Exchange (PHQIX), a free online communication platform dedicated to making public health quality improvement information accessible to practitioners. Methods: We conducted an internet-based survey of registered PHQIX users (n = 536 respondents) in 2013 and key informant interviews with PHQIX frequent users (n = 21) in 2014, in the United States. We assessed use of the PHQIX website, user engagement and satisfaction, communication and knowledge exchange, use of information, and impact on quality improvement capacity and accreditation readiness. Results: Of 462 respondents, 369 (79.9%) browsed quality improvement initiatives, making it the most commonly used site feature, and respondents described PHQIX as a near-unique source for real-world quality improvement examples. Respondents were satisfied with the quality and breadth of topics and relevance to their settings (average satisfaction scores, 3.9-4.1 [where 5 was the most satisfied]). Of 407 respondents, 237 (58.2%) said that they had put into practice information learned on PHQIX, and 209 of 405 (51.6%) said that PHQIX had helped to improve quality improvement capacity. Fewer than half of respondents used the commenting function, the Community Forum, and the Ask an Expert feature. Conclusions: Findings suggest that PHQIX, particularly descriptions of the quality improvement initiatives, is a valued resource for public health practitioners. Users reported sharing information with colleagues and applying what they learned to their own work. These findings may relate to other efforts to disseminate quality improvement knowledge. PMID:28135430

Evaluation of a Quality Improvement Resource for Public Health Practitioners.

PubMed

Porterfield, Deborah S; Marcial, Laura H; Brown, Stephen; Throop, Cynthia; Pina, Jamie

Quality improvement is a critical mechanism to manage public health agency performance and to strengthen accountability for public funds. The objective of this study was to evaluate a relatively new quality improvement resource, the Public Health Quality Improvement Exchange (PHQIX), a free online communication platform dedicated to making public health quality improvement information accessible to practitioners. We conducted an internet-based survey of registered PHQIX users (n = 536 respondents) in 2013 and key informant interviews with PHQIX frequent users (n = 21) in 2014, in the United States. We assessed use of the PHQIX website, user engagement and satisfaction, communication and knowledge exchange, use of information, and impact on quality improvement capacity and accreditation readiness. Of 462 respondents, 369 (79.9%) browsed quality improvement initiatives, making it the most commonly used site feature, and respondents described PHQIX as a near-unique source for real-world quality improvement examples. Respondents were satisfied with the quality and breadth of topics and relevance to their settings (average satisfaction scores, 3.9-4.1 [where 5 was the most satisfied]). Of 407 respondents, 237 (58.2%) said that they had put into practice information learned on PHQIX, and 209 of 405 (51.6%) said that PHQIX had helped to improve quality improvement capacity. Fewer than half of respondents used the commenting function, the Community Forum, and the Ask an Expert feature. Findings suggest that PHQIX, particularly descriptions of the quality improvement initiatives, is a valued resource for public health practitioners. Users reported sharing information with colleagues and applying what they learned to their own work. These findings may relate to other efforts to disseminate quality improvement knowledge.

Utilizing Operational and Improved Remote Sensing Measurements to Assess Air Quality Monitoring Model Forecasts

NASA Astrophysics Data System (ADS)

Gan, Chuen-Meei

Air quality model forecasts from Weather Research and Forecast (WRF) and Community Multiscale Air Quality (CMAQ) are often used to support air quality applications such as regulatory issues and scientific inquiries on atmospheric science processes. In urban environments, these models become more complex due to the inherent complexity of the land surface coupling and the enhanced pollutants emissions. This makes it very difficult to diagnose the model, if the surface parameter forecasts such as PM2.5 (particulate matter with aerodynamic diameter less than 2.5 microm) are not accurate. For this reason, getting accurate boundary layer dynamic forecasts is as essential as quantifying realistic pollutants emissions. In this thesis, we explore the usefulness of vertical sounding measurements on assessing meteorological and air quality forecast models. In particular, we focus on assessing the WRF model (12km x 12km) coupled with the CMAQ model for the urban New York City (NYC) area using multiple vertical profiling and column integrated remote sensing measurements. This assessment is helpful in probing the root causes for WRF-CMAQ overestimates of surface PM2.5 occurring both predawn and post-sunset in the NYC area during the summer. In particular, we find that the significant underestimates in the WRF PBL height forecast is a key factor in explaining this anomaly. On the other hand, the model predictions of the PBL height during daytime when convective heating dominates were found to be highly correlated to lidar derived PBL height with minimal bias. Additional topics covered in this thesis include mathematical method using direct Mie scattering approach to convert aerosol microphysical properties from CMAQ into optical parameters making direct comparisons with lidar and multispectral radiometers feasible. Finally, we explore some tentative ideas on combining visible (VIS) and mid-infrared (MIR) sensors to better separate aerosols into fine and coarse modes.

Fostering evidence-based quality improvement for patient-centered medical homes: Initiating local quality councils to transform primary care.

PubMed

Stockdale, Susan E; Zuchowski, Jessica; Rubenstein, Lisa V; Sapir, Negar; Yano, Elizabeth M; Altman, Lisa; Fickel, Jacqueline J; McDougall, Skye; Dresselhaus, Timothy; Hamilton, Alison B

Although the patient-centered medical home endorses quality improvement principles, methods for supporting ongoing, systematic primary care quality improvement have not been evaluated. We introduced primary care quality councils at six Veterans Health Administration sites as an organizational intervention with three key design elements: (a) fostering interdisciplinary quality improvement leadership, (b) establishing a structured quality improvement process, and (c) facilitating organizationally aligned frontline quality improvement innovation. Our evaluation objectives were to (a) assess design element implementation, (b) describe implementation barriers and facilitators, and (c) assess successful quality improvement project completion and spread. We analyzed administrative records and conducted interviews with 85 organizational leaders. We developed and applied criteria for assessing design element implementation using hybrid deductive/inductive analytic techniques. All quality councils implemented interdisciplinary leadership and a structured quality improvement process, and all but one completed at least one quality improvement project and a toolkit for spreading improvements. Quality councils were perceived as most effective when service line leaders had well-functioning interdisciplinary communication. Matching positions within leadership hierarchies with appropriate supportive roles facilitated frontline quality improvement efforts. Two key resources were (a) a dedicated internal facilitator with project management, data collection, and presentation skills and (b) support for preparing customized data reports for identifying and addressing practice level quality issues. Overall, quality councils successfully cultivated interdisciplinary, multilevel primary care quality improvement leadership with accountability mechanisms and generated frontline innovations suitable for spread. Practice level performance data and quality improvement project management support

Informatics: essential infrastructure for quality assessment and improvement in nursing.

PubMed Central

Henry, S B

1995-01-01

In recent decades there have been major advances in the creation and implementation of information technologies and in the development of measures of health care quality. The premise of this article is that informatics provides essential infrastructure for quality assessment and improvement in nursing. In this context, the term quality assessment and improvement comprises both short-term processes such as continuous quality improvement (CQI) and long-term outcomes management. This premise is supported by 1) presentation of a historical perspective on quality assessment and improvement; 2) delineation of the types of data required for quality assessment and improvement; and 3) description of the current and potential uses of information technology in the acquisition, storage, transformation, and presentation of quality data, information, and knowledge. PMID:7614118

Building abstinent networks is an important resource in improving quality of life.

PubMed

Muller, Ashley Elizabeth; Skurtveit, Svetlana; Clausen, Thomas

2017-11-01

To investigate changes in social network and quality of life of a substance use disorder cohort as they progressed through treatment. Multi-site, prospective, observational study of 338 adults entering substance use disorder treatment. Patients at 21 facilities across Norway contributed baseline data when they initiated treatment, and follow-up data was collected from them one year later. The cohort was divided into those who completed, dropped out, and remained in treatment one year after treatment initiation. For each treatment status group, general linear models with repeated measures analyzed global and social quality of life with the generic QOL10 instrument over time. The between-group factor was a change in social network variable from the EuropASI. Those who gained an abstinent network reported the largest quality of life improvements. Improvements were smallest or negligible for the socially isolated and those who were no longer in contact with the treatment system. Developing an abstinent network is particularly important to improve the quality of life of those in substance use disorder treatment. Social isolation is a risk factor for impaired quality of life throughout the treatment course. Copyright © 2017 Elsevier B.V. All rights reserved.

Physical Activity Improves Quality of Life

MedlinePlus

... It Works Healthy Workplace Food and Beverage Toolkit Physical activity improves quality of life Updated:Mar 2,2015 ... proven to improve both mental and physical health. Physical activity boosts mental wellness. Regular physical activity can relieve ...

Quality improvement in neurology: AAN Parkinson disease quality measures

PubMed Central

Cheng, E.M.; Tonn, S.; Swain-Eng, R.; Factor, S.A.; Weiner, W.J.; Bever, C.T.

2010-01-01

Background: Measuring the quality of health care is a fundamental step toward improving health care and is increasingly used in pay-for-performance initiatives and maintenance of certification requirements. Measure development to date has focused on primary care and common conditions such as diabetes; thus, the number of measures that apply to neurologic care is limited. The American Academy of Neurology (AAN) identified the need for neurologists to develop measures of neurologic care and to establish a process to accomplish this. Objective: To adapt and test the feasibility of a process for independent development by the AAN of measures for neurologic conditions for national measurement programs. Methods: A process that has been used nationally for measure development was adapted for use by the AAN. Topics for measure development are chosen based upon national priorities, available evidence base from a systematic literature search, gaps in care, and the potential impact for quality improvement. A panel composed of subject matter and measure development methodology experts oversees the development of the measures. Recommendation statements and their corresponding level of evidence are reviewed and considered for development into draft candidate measures. The candidate measures are refined by the expert panel during a 30-day public comment period and by review by the American Medical Association for Current Procedural Terminology (CPT) II codes. All final AAN measures are approved by the AAN Board of Directors. Results: Parkinson disease (PD) was chosen for measure development. A review of the medical literature identified 258 relevant recommendation statements. A 28-member panel approved 10 quality measures for PD that included full specifications and CPT II codes. Conclusion: The AAN has adapted a measure development process that is suitable for national measurement programs and has demonstrated its capability to independently develop quality measures. GLOSSARY

Video quality assessment using a statistical model of human visual speed perception.

PubMed

Wang, Zhou; Li, Qiang

2007-12-01

Motion is one of the most important types of information contained in natural video, but direct use of motion information in the design of video quality assessment algorithms has not been deeply investigated. Here we propose to incorporate a recent model of human visual speed perception [Nat. Neurosci. 9, 578 (2006)] and model visual perception in an information communication framework. This allows us to estimate both the motion information content and the perceptual uncertainty in video signals. Improved video quality assessment algorithms are obtained by incorporating the model as spatiotemporal weighting factors, where the weight increases with the information content and decreases with the perceptual uncertainty. Consistent improvement over existing video quality assessment algorithms is observed in our validation with the video quality experts group Phase I test data set.

SafeCare: An Innovative Approach for Improving Quality Through Standards, Benchmarking, and Improvement in Low- and Middle- Income Countries.

PubMed

Johnson, Michael C; Schellekens, Onno; Stewart, Jacqui; van Ostenberg, Paul; de Wit, Tobias Rinke; Spieker, Nicole

2016-08-01

In low- and middle-income countries (LMICs), patients often have limited access to high-quality care because of a shortage of facilities and human resources, inefficiency of resource allocation, and limited health insurance. SafeCare was developed to provide innovative health care standards; surveyor training; a grading system for quality of care; a quality improvement process that is broken down into achievable, measurable steps to facilitate incremental improvement; and a private sector-supported health financing model. Three organizations-PharmAccess Foundation, Joint Commission International, and the Council for Health Service Accreditation of Southern Africa-launched SafeCare in 2011 as a formal partnership. Five SafeCare levels of improvement are allocated on the basis of an algorithm that incorporates both the overall score and weighted criteria, so that certain high-risk criteria need to be in place before a facility can move to the next SafeCare certification level. A customized quality improvement plan based on the SafeCare assessment results lists the specific, measurable activities that should be undertaken to address gaps in quality found during the initial assessment and to meet the nextlevel SafeCare certificate. The standards have been implemented in more than 800 primary and secondary facilities by qualified local surveyors, in partnership with various local public and private partner organizations, in six sub-Saharan African countries (Ghana, Kenya, Nigeria, Namibia, Tanzania, and Zambia). Expanding access to care and improving health care quality in LMICs will require a coordinated effort between institutions and other stakeholders. SafeCare's standards and assessment methodology can help build trust between stakeholders and lay the foundation for country-led quality monitoring systems.

Integrating quality improvement and translational research models to increase exclusive breastfeeding.

PubMed

Brown, Peggy A; Kaiser, Katherine Laux; Nailon, Regina E

2014-01-01

Exclusive breastfeeding (EBF), a perinatal core measure, is associated with a longer duration of breastfeeding. The purpose of this quality improvement project was to increase the percent of healthy term singleton newborns who were exclusively breastfed at an academic medical center in the Midwest. Implementation of skin-to-skin contact between mother and newborn immediately following birth resulted in an increase in the percent of healthy term singleton newborns who were EBF from 55% to 64%. © 2014 AWHONN, the Association of Women's Health, Obstetric and Neonatal Nurses.

Quality improvement--boon or boondoggle?

PubMed

Paterson, M A; Wendel, J

1994-01-01

Is quality improvement (QI) reducing healthcare costs while improving patient care? Researchers find that QI has improved employee satisfaction and morale, but it was designed to do more. One solution is to use problem-solving techniques to help teams identify the level at which they want to address a problem, whether that be the subinstitutional, institutional, or system level. If QI is to fulfill its promise, skilled managers must create effective teams capable of defining and solving complex problems.

Development of a Quality Improvement Curriculum in Physician Assistant Studies.

PubMed

Kindratt, Tiffany B; Orcutt, Venetia L

2017-06-01

The purpose of this project was to develop and evaluate a curriculum for physician assistant (PA) students addressing knowledge, skills, and attitudes (KSA) toward quality improvement (QI). Students (N = 77) completed a pretest rating their KSA. A curriculum was developed to improve KSA among didactic and clinical students. Two department-wide QI projects were developed for student participation. Students completed a posttest after completing curriculum components and changes in KSA had been measured. Postcurriculum implementation, QI knowledge, and skills increased significantly in most areas. Large improvements were seen in knowledge of Plan, Do, Study, Act models and life cycles of QI projects (p < .0001). Seven students (20%) participated in department-wide projects. Our curriculum model (1) was effective at improving students' QI knowledge and skills; (2) allowed students to participate in community-based QI projects; and (3) can be used by other PA programs looking to enhance their QI curriculum.

Bedside handover: quality improvement strategy to "transform care at the bedside".

PubMed

Chaboyer, Wendy; McMurray, Anne; Johnson, Joanne; Hardy, Linda; Wallis, Marianne; Sylvia Chu, Fang Ying

2009-01-01

This quality improvement project implemented bedside handover in nursing. Using Lewin's 3-Step Model for Change, 3 wards in an Australian hospital changed from verbal reporting in an isolated room to bedside handover. Practice guidelines and a competency standard were developed. The change was received positively by both staff and patients. Staff members reported that bedside handover improved safety, efficiency, teamwork, and the level of support from senior staff members.

Improved meteorology from an updated WRF/CMAQ modeling ...

EPA Pesticide Factsheets

Realistic vegetation characteristics and phenology from the Moderate Resolution Imaging Spectroradiometer (MODIS) products improve the simulation for the meteorology and air quality modeling system WRF/CMAQ (Weather Research and Forecasting model and Community Multiscale Air Quality model) that employs the Pleim-Xiu land surface model (PX LSM). Recently, PX LSM WRF/CMAQ has been updated in vegetation, soil, and boundary layer processes resulting in improved 2 m temperature (T) and mixing ratio (Q), 10 m wind speed, and surface ozone simulations across the domain compared to the previous version for a period around August 2006. Yearlong meteorology simulations with the updated system demonstrate that MODIS input helps reduce bias of the 2 m Q estimation during the growing season from April to September. Improvements follow the green-up in the southeast from April and move toward the west and north through August. From October to March, MODIS input does not have much influence on the system because vegetation is not as active. The greatest effects of MODIS input include more accurate phenology, better representation of leaf area index (LAI) for various forest ecosystems and agricultural areas, and realistically sparse vegetation coverage in the western drylands. Despite the improved meteorology, MODIS input causes higher bias for the surface O3 simulation in April, August, and October in areas where MODIS LAI is much less than the base LAI. Thus, improvement

Image quality assessment by preprocessing and full reference model combination

NASA Astrophysics Data System (ADS)

Bianco, S.; Ciocca, G.; Marini, F.; Schettini, R.

2009-01-01

This paper focuses on full-reference image quality assessment and presents different computational strategies aimed to improve the robustness and accuracy of some well known and widely used state of the art models, namely the Structural Similarity approach (SSIM) by Wang and Bovik and the S-CIELAB spatial-color model by Zhang and Wandell. We investigate the hypothesis that combining error images with a visual attention model could allow a better fit of the psycho-visual data of the LIVE Image Quality assessment Database Release 2. We show that the proposed quality assessment metric better correlates with the experimental data.

Ninety to Nothing: a PDSA quality improvement project.

PubMed

Prybutok, Gayle Linda

2018-05-14

Purpose The purpose of this paper is to present a case study of a successful quality improvement project in an acute care hospital focused on reducing the time of the total patient visit in the emergency department. Design/methodology/approach A multidisciplinary quality improvement team, using the PDSA (Plan, Do, Study, Act) Cycle, analyzed the emergency department care delivery process and sequentially made process improvements that contributed to project success. Findings The average turnaround time goal of 90 minutes or less per visit was achieved in four months, and the organization enjoyed significant collateral benefits both internal to the organization and for its customers. Practical implications This successful PDSA process can be duplicated by healthcare organizations of all sizes seeking to improve a process related to timely, high-quality patient care delivery. Originality/value Extended wait time in hospital emergency departments is a universal problem in the USA that reduces the quality of the customer experience and that delays necessary patient care. This case study demonstrates that a structured quality improvement process implemented by a multidisciplinary team with the authority to make necessary process changes can successfully redefine the norm.

Using Quality Improvement to Improve Internal and External Coordination and Referrals.

PubMed

Cain, Katherine L; Collins, Ragan P

As part of accreditation, Public Health Accreditation Board site visitors recommended that the New Orleans Health Department strengthen its quality improvement program. With support from the Public Health Accreditation Board, the New Orleans Health Department subsequently embarked on a data-driven planning process through which it prioritized quality improvement projects for 2016. One of these projects aimed to improve referrals to New Orleans Health Department's direct services programs from local clinics and hospitals to better provide our most vulnerable residents with a continuum of care. After completing a cause-and-effect analysis, we implemented a solution involving increased outreach to health care institutions and saw annual participation increase in 3 out of 4 of our programs. We leveraged this work to successfully apply for funding to create a centralized referral system, which will facilitate partnerships among local health and human service agencies and improve access to services. This is one example of how accreditation has benefited our health department and our community. We have found that the accreditation process promotes a culture of quality and helps health departments identify and address areas for improvement.

Promoting Continuous Quality Improvement in Online Teaching: The META Model

ERIC Educational Resources Information Center

Dittmar, Eileen; McCracken, Holly

2012-01-01

Experienced e-learning faculty members share strategies for implementing a comprehensive postsecondary faculty development program essential to continuous improvement of instructional skills. The high-impact META Model (centered around Mentoring, Engagement, Technology, and Assessment) promotes information sharing and content creation, and fosters…

Model improvements and validation of TerraSAR-X precise orbit determination

NASA Astrophysics Data System (ADS)

Hackel, S.; Montenbruck, O.; Steigenberger, P.; Balss, U.; Gisinger, C.; Eineder, M.

2017-05-01

The radar imaging satellite mission TerraSAR-X requires precisely determined satellite orbits for validating geodetic remote sensing techniques. Since the achieved quality of the operationally derived, reduced-dynamic (RD) orbit solutions limits the capabilities of the synthetic aperture radar (SAR) validation, an effort is made to improve the estimated orbit solutions. This paper discusses the benefits of refined dynamical models on orbit accuracy as well as estimated empirical accelerations and compares different dynamic models in a RD orbit determination. Modeling aspects discussed in the paper include the use of a macro-model for drag and radiation pressure computation, the use of high-quality atmospheric density and wind models as well as the benefit of high-fidelity gravity and ocean tide models. The Sun-synchronous dusk-dawn orbit geometry of TerraSAR-X results in a particular high correlation of solar radiation pressure modeling and estimated normal-direction positions. Furthermore, this mission offers a unique suite of independent sensors for orbit validation. Several parameters serve as quality indicators for the estimated satellite orbit solutions. These include the magnitude of the estimated empirical accelerations, satellite laser ranging (SLR) residuals, and SLR-based orbit corrections. Moreover, the radargrammetric distance measurements of the SAR instrument are selected for assessing the quality of the orbit solutions and compared to the SLR analysis. The use of high-fidelity satellite dynamics models in the RD approach is shown to clearly improve the orbit quality compared to simplified models and loosely constrained empirical accelerations. The estimated empirical accelerations are substantially reduced by 30% in tangential direction when working with the refined dynamical models. Likewise the SLR residuals are reduced from -3 ± 17 to 2 ± 13 mm, and the SLR-derived normal-direction position corrections are reduced from 15 to 6 mm, obtained from

Introducing a quality improvement programme to primary healthcare teams

PubMed Central

Hearnshaw, H.; Reddish, S.; Carlyle, D.; Baker, R.; Robertson, N.

1998-01-01

OBJECTIVES: To evaluate a programme in which quality improvement was facilitated, based on principles of total quality management, in primary healthcare teams, and to determine its feasibility, acceptability, effectiveness, and the duration of its effect. METHOD: Primary healthcare teams in Leicestershire (n = 147) were invited to take part in the facilitated programme. The programme comprised seven team meetings, led by a researcher, plus up to two facilitated meetings of quality improvement subgroups, appointed by each team to consider specific quality issues. OUTCOME MEASURES: To assess the effect and feasibility of the programme on improving the quality of care provided, the individual quality improvement projects undertaken by the teams were documented and opportunities for improvement were noted at each session by the facilitator. The programme's acceptability was assessed with questionnaires issued in the final session to each participant. To assess the long term impact on teams, interviews with team members were conducted 3 years after the programme ended. RESULTS: 10 of the 27 teams that initially expressed interest in the programme agreed to take part, and six started the programme. Of these, five completed their quality improvement projects and used several different quality tools, and three completed all seven sessions of the programme. The programme was assessed as appropriate and acceptable by the participants. Three years later, the changes made during the programme were still in place in three of the six teams. Four teams had decided to undertake the local quality monitoring programme, resourced and supported by the Health Authority. CONCLUSIONS: The facilitated programme was feasible, acceptable, and effective for a few primary healthcare teams. The outcomes of the programme can be sustained. Research is needed on the characteristics of teams likely to be successful in the introduction and maintenance of quality improvement programmes. PMID

Does Medical Malpractice Law Improve Health Care Quality?

PubMed

Frakes, Michael; Jena, Anupam B

2016-11-01

We assess the potential for medical liability forces to deter medical errors and improve health care treatment quality, identifying liability's influence by drawing on variations in the manner by which states formulate the negligence standard facing physicians. Using hospital discharge records from the National Hospital Discharge Survey and clinically-validated quality metrics inspired by the Agency for Health Care Research and Quality, we find evidence suggesting that treatment quality may improve upon reforms that expect physicians to adhere to higher quality clinical standards. We do not find evidence, however, suggesting that treatment quality may deteriorate following reforms to liability standards that arguably condone the delivery of lower quality care. Similarly, we do not find evidence of deterioration in health care quality following remedy-focused liability reforms such as caps on non-economic damages awards.

Integrated clinical and quality improvement coaching in Son La Province, Vietnam: a model of building public sector capacity for sustainable HIV care delivery.

PubMed

Cosimi, Lisa A; Dam, Huong V; Nguyen, Thai Q; Ho, Huyen T; Do, Phuong T; Duc, Duat N; Nguyen, Huong T; Gardner, Bridget; Libman, Howard; Pollack, Todd; Hirschhorn, Lisa R

2015-07-17

The global scale-up of antiretroviral therapy included extensive training and onsite support to build the capacity of HIV health care workers. However, traditional efforts aimed at strengthening knowledge and skills often are not successful at improving gaps in the key health systems required for sustaining high quality care. We trained and mentored existing staff of the Son La provincial health department and provincial HIV clinic to work as a provincial coaching team (PCT) to provide integrated coaching in clinical HIV skills and quality improvement (QI) to the HIV clinics in the province. Nine core indicators were measured through chart extraction by clinic and provincial staff at baseline and at 6 month intervals thereafter. Coaching from the team to each of the clinics, in both QI and clinical skills, was guided by results of performance measurements, gap analyses, and resulting QI plans. After 18 months, the PCT had successfully spread QI activities, and was independently providing regular coaching to the provincial general hospital clinic and six of the eight district clinics in the province. The frequency and type of coaching was determined by performance measurement results. Clinics completed a mean of five QI projects. Quality of HIV care was improved throughout all clinics with significant increases in seven of the indicators. Overall both the PCT activities and clinic performance were sustained after integration of the model into the Vietnam National QI Program. We successfully built capacity of a team of public sector health care workers to provide integrated coaching in both clinical skills and QI across a province. The PCT is a feasible and effective model to spread and sustain quality activities and improve HIV care services in a decentralized rural setting.

Quality Improvement Efforts among Early Childhood Education Programs Participating in Iowa's Quality Rating System. REL 2017-244

ERIC Educational Resources Information Center

Hawkinson, Laura E.; Faria, Ann-Marie; Bouacha, Nora; Lee, Dong Hoon; Metzger, Ivan

2017-01-01

This report describes the quality improvement efforts of early childhood education programs participating in Iowa's Quality Rating System (QRS). It identifies supports and barriers to quality improvement and examines how quality improvement supports and activities relate to changes in program quality ratings across time. The study team developed…

The quality improvement attitude survey: Development and preliminary psychometric characteristics.

PubMed

Dunagan, Pamela B

2017-12-01

To report the development of a tool to measure nurse's attitudes about quality improvement in their practice setting and to examine preliminary psychometric characteristics of the Quality Improvement Nursing Attitude Scale. Human factors such as nursing attitudes of complacency have been identified as root causes of sentinel events. Attitudes of nurses concerning use of Quality and Safety Education for nurse's competencies can be most challenging to teach and to change. No tool has been developed measuring attitudes of nurses concerning their role in quality improvement. A descriptive study design with preliminary psychometric evaluation was used to examine the preliminary psychometric characteristics of the Quality Improvement Nursing Attitude Scale. Registered bedside clinical nurses comprised the sample for the study (n = 57). Quantitative data were analysed using descriptive statistics and Cronbach's alpha reliability. Total score and individual item statistics were evaluated. Two open-ended items were used to collect statements about nurses' feelings regarding their experience in quality improvement efforts. Strong support for the internal consistency reliability and face validity of the Quality Improvement Nursing Attitude Scale was found. Total scale scores were high indicating nurse participants valued Quality and Safety Education for Nurse competencies in practice. However, item-level statistics indicated nurses felt powerless when other nurses deviate from care standards. Additionally, the sample indicated they did not consistently report patient safety issues and did not have a feeling of value in efforts to improve care. Findings suggested organisational culture fosters nurses' reporting safety issues and feeling valued in efforts to improve care. Participants' narrative comments and item analysis revealed the need to generate new items for the Quality Improvement Nursing Attitude Scale focused on nurses' perception of their importance in quality and

Image quality improvement using model-based iterative reconstruction in low dose chest CT for children with necrotizing pneumonia.

PubMed

Sun, Jihang; Yu, Tong; Liu, Jinrong; Duan, Xiaomin; Hu, Di; Liu, Yong; Peng, Yun

2017-03-16

Model-based iterative reconstruction (MBIR) is a promising reconstruction method which could improve CT image quality with low radiation dose. The purpose of this study was to demonstrate the advantage of using MBIR for noise reduction and image quality improvement in low dose chest CT for children with necrotizing pneumonia, over the adaptive statistical iterative reconstruction (ASIR) and conventional filtered back-projection (FBP) technique. Twenty-six children with necrotizing pneumonia (aged 2 months to 11 years) who underwent standard of care low dose CT scans were included. Thinner-slice (0.625 mm) images were retrospectively reconstructed using MBIR, ASIR and conventional FBP techniques. Image noise and signal-to-noise ratio (SNR) for these thin-slice images were measured and statistically analyzed using ANOVA. Two radiologists independently analyzed the image quality for detecting necrotic lesions, and results were compared using a Friedman's test. Radiation dose for the overall patient population was 0.59 mSv. There was a significant improvement in the high-density and low-contrast resolution of the MBIR reconstruction resulting in more detection and better identification of necrotic lesions (38 lesions in 0.625 mm MBIR images vs. 29 lesions in 0.625 mm FBP images). The subjective display scores (mean ± standard deviation) for the detection of necrotic lesions were 5.0 ± 0.0, 2.8 ± 0.4 and 2.5 ± 0.5 with MBIR, ASIR and FBP reconstruction, respectively, and the respective objective image noise was 13.9 ± 4.0HU, 24.9 ± 6.6HU and 33.8 ± 8.7HU. The image noise decreased by 58.9 and 26.3% in MBIR images as compared to FBP and ASIR images. Additionally, the SNR of MBIR images was significantly higher than FBP images and ASIR images. The quality of chest CT images obtained by MBIR in children with necrotizing pneumonia was significantly improved by the MBIR technique as compared to the ASIR and FBP reconstruction, to

Context in Quality of Care: Improving Teamwork and Resilience.

PubMed

Tawfik, Daniel S; Sexton, John Bryan; Adair, Kathryn C; Kaplan, Heather C; Profit, Jochen

2017-09-01

Quality improvement in health care is an ongoing challenge. Consideration of the context of the health care system is of paramount importance. Staff resilience and teamwork climate are key aspects of context that drive quality. Teamwork climate is dynamic, with well-established tools available to improve teamwork for specific tasks or global applications. Similarly, burnout and resilience can be modified with interventions such as cultivating gratitude, positivity, and awe. A growing body of literature has shown that teamwork and burnout relate to quality of care, with improved teamwork and decreased burnout expected to produce improved patient quality and safety. Copyright © 2017 Elsevier Inc. All rights reserved.

Room for improvement? Leadership, innovation culture and uptake of quality improvement methods in general practice.

PubMed

Apekey, Tanefa A; McSorley, Gerry; Tilling, Michelle; Siriwardena, A Niroshan

2011-04-01

Leadership and innovation are currently seen as essential elements for the development and maintenance of high-quality care. Little is known about the relationship between leadership and culture of innovation and the extent to which quality improvement methods are used in general practice. This study aimed to assess the relationship between leadership behaviour, culture of innovation and adoption of quality improvement methods in general practice. Self-administered postal questionnaires were sent to general practitioner quality improvement leads in one county in the UK between June and December 2007. The questionnaire consisted of background information, a 12-item scale to assess leadership behaviour, a seven-dimension self-rating scale for culture of innovation and questions on current use of quality improvement tools and techniques. Sixty-three completed questionnaires (62%) were returned. Leadership behaviours were not commonly reported. Most practices reported a positive culture of innovation, featuring relationship most strongly, followed by targets and information but rated lower on other dimensions of rewards, risk and resources. There was a significant positive correlation between leadership behaviour and the culture of innovation (r = 0.57; P < 0.001). Apart from clinical audit and significant event analysis, quality improvement methods were not adopted by most participating practices. Leadership behaviours were infrequently reported and this was associated with a limited culture of innovation in participating general practices. There was little use of quality improvement methods beyond clinical and significant event audit. Practices need support to enhance leadership skills, encourage innovation and develop quality improvement skills if improvements in health care are to accelerate. © 2010 Blackwell Publishing Ltd.

Towards the Next Generation Air Quality Modeling System ...

EPA Pesticide Factsheets

The community multiscale air quality (CMAQ) model of the U.S. Environmental Protection Agency is one of the most widely used air quality model worldwide; it is employed for both research and regulatory applications at major universities and government agencies for improving understanding of the formation and transport of air pollutants. It is noted, however, that air quality issues and climate change assessments need to be addressed globally recognizing the linkages and interactions between meteorology and atmospheric chemistry across a wide range of scales. Therefore, an effort is currently underway to develop the next generation air quality modeling system (NGAQM) that will be based on a global integrated meteorology and chemistry system. The model for prediction across scales-atmosphere (MPAS-A), a global fully compressible non-hydrostatic model with seamlessly refined centroidal Voronoi grids, has been chosen as the meteorological driver of this modeling system. The initial step of adapting MPAS-A for the NGAQM was to implement and test the physics parameterizations and options that are preferred for retrospective air quality simulations (see the work presented by R. Gilliam, R. Bullock, and J. Herwehe at this workshop). The next step, presented herein, would be to link the chemistry from CMAQ to MPAS-A to build a prototype for the NGAQM. Furthermore, the techniques to harmonize transport processes between CMAQ and MPAS-A, methodologies to connect the chemis

Improving influenza vaccination of healthcare workers by means of quality improvement tools.

PubMed

Cadena, Jose; Prigmore, Teresa; Bowling, Jason; Ayala, Beth Ann; Kirkman, Leni; Parekh, Amruta; Scepanski, Theresa; Patterson, Jan E

2011-06-01

For a healthcare worker seasonal influenza vaccination quality improvement project, interventions included support of leadership, distribution of vaccine kits, grand rounds, an influenza website, a screensaver, e-mails, phone messages, and audit feedback. Vaccination rates increased from 58.8% to 76.6% (P < .01). Quality improvement increased the voluntary vaccination rate but did not achieve a rate more than 80%.

The Taguchi Method Application to Improve the Quality of a Sustainable Process

NASA Astrophysics Data System (ADS)

Titu, A. M.; Sandu, A. V.; Pop, A. B.; Titu, S.; Ciungu, T. C.

2018-06-01

Taguchi’s method has always been a method used to improve the quality of the analyzed processes and products. This research shows an unusual situation, namely the modeling of some parameters, considered technical parameters, in a process that is wanted to be durable by improving the quality process and by ensuring quality using an experimental research method. Modern experimental techniques can be applied in any field and this study reflects the benefits of interacting between the agriculture sustainability principles and the Taguchi’s Method application. The experimental method used in this practical study consists of combining engineering techniques with experimental statistical modeling to achieve rapid improvement of quality costs, in fact seeking optimization at the level of existing processes and the main technical parameters. The paper is actually a purely technical research that promotes a technical experiment using the Taguchi method, considered to be an effective method since it allows for rapid achievement of 70 to 90% of the desired optimization of the technical parameters. The missing 10 to 30 percent can be obtained with one or two complementary experiments, limited to 2 to 4 technical parameters that are considered to be the most influential. Applying the Taguchi’s Method in the technique and not only, allowed the simultaneous study in the same experiment of the influence factors considered to be the most important in different combinations and, at the same time, determining each factor contribution.

Effectiveness of a quality-improvement program in improving management of primary care practices.

PubMed

Szecsenyi, Joachim; Campbell, Stephen; Broge, Bjoern; Laux, Gunter; Willms, Sara; Wensing, Michel; Goetz, Katja

2011-12-13

The European Practice Assessment program provides feedback and outreach visits to primary care practices to facilitate quality improvement in five domains (infrastructure, people, information, finance, and quality and safety). We examined the effectiveness of this program in improving management in primary care practices in Germany, with a focus on the domain of quality and safety. In a before-after study, 102 primary care practices completed a practice assessment using the European Practice Assessment instrument at baseline and three years later (intervention group). A comparative group of 102 practices was included that completed their first assessment using this instrument at the time of the intervention group's second assessment. Mean scores were based on the proportion of indicators for which a positive response was achieved by all of the practices, on a scale of 0 to 100. We found significant improvements in all domains between the first and second assessments in the intervention group. In the domain of quality and safety, improvements in scores (mean scores were based on the proportion of indicators for which a positive response was achieved by all of the practices, on a scale of 0 to 100) were observed in the following dimensions: complaint management (from a mean score of 51.2 at first assessment to 80.7 at second assessment); analysis of critical incidents (from 79.1 to 89.6); and quality development, quality policy (from 40.7 to 55.6). Overall scores at the time of the second assessment were significantly higher in the intervention group than in the comparative group. Primary care practices that completed the European Practice Assessment instrument twice over a three-year period showed improvements in practice management. Our findings show the value of the quality-improvement cycle in the context of practice assessment and the use of established organizational standards for practice management with the Europeaen Practice Assessment.

Application of uncertainty and sensitivity analysis to the air quality SHERPA modelling tool

NASA Astrophysics Data System (ADS)

Pisoni, E.; Albrecht, D.; Mara, T. A.; Rosati, R.; Tarantola, S.; Thunis, P.

2018-06-01

Air quality has significantly improved in Europe over the past few decades. Nonetheless we still find high concentrations in measurements mainly in specific regions or cities. This dimensional shift, from EU-wide to hot-spot exceedances, calls for a novel approach to regional air quality management (to complement EU-wide existing policies). The SHERPA (Screening for High Emission Reduction Potentials on Air quality) modelling tool was developed in this context. It provides an additional tool to be used in support to regional/local decision makers responsible for the design of air quality plans. It is therefore important to evaluate the quality of the SHERPA model, and its behavior in the face of various kinds of uncertainty. Uncertainty and sensitivity analysis techniques can be used for this purpose. They both reveal the links between assumptions and forecasts, help in-model simplification and may highlight unexpected relationships between inputs and outputs. Thus, a policy steered SHERPA module - predicting air quality improvement linked to emission reduction scenarios - was evaluated by means of (1) uncertainty analysis (UA) to quantify uncertainty in the model output, and (2) by sensitivity analysis (SA) to identify the most influential input sources of this uncertainty. The results of this study provide relevant information about the key variables driving the SHERPA output uncertainty, and advise policy-makers and modellers where to place their efforts for an improved decision-making process.

Effectiveness of Quality Improvement Strategies for the Management of CKD: A Meta-Analysis.

PubMed

Silver, Samuel A; Bell, Chaim M; Chertow, Glenn M; Shah, Prakesh S; Shojania, Kaveh; Wald, Ron; Harel, Ziv

2017-10-06

Quality improvement interventions have enhanced care for other chronic illnesses, but their effectiveness for patients with CKD is unknown. We sought to determine the effects of quality improvement strategies on clinical outcomes in adult patients with nondialysis-requiring CKD. We conducted a systematic review of randomized trials, searching Medline and the Cochrane Effective Practice and Organization of Care database from January of 2003 to April of 2015. Eligible studies evaluated one or more of 11 prespecified quality improvement strategies, and prespecified study outcomes included at least one process of care measure, surrogate outcome, or hard clinical outcome. We used a random effects model to estimate the pooled risk ratio (RR; dichotomous data) or the mean difference (continuous data). We reviewed 15 patient-level randomized trials ( n =3298 patients), and six cluster-randomized trials ( n =30,042 patients). Quality improvement strategies reduced dialysis incidence (seven trials; RR, 0.85; 95% confidence interval [95% CI], 0.74 to 0.97) and LDL cholesterol concentrations (four trials; mean difference, -17.6 mg/dl; 95% CI, -28.7 to -6.5), and increased the likelihood that patients received renin-angiotensin-aldosterone system inhibitors (nine trials; RR, 1.16; 95% CI, 1.06 to 1.27). We did not observe statistically significant effects on mortality, cardiovascular events, eGFR, glycated hemoglobin, and systolic or diastolic BP. Quality improvement interventions yielded significant beneficial effects on three elements of CKD care. Estimates of the effectiveness of quality improvement strategies were limited by study number and adherence to quality improvement principles. This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2017_09_06_CJASNPodcast_17_10.mp3. Copyright © 2017 by the American Society of Nephrology.

Quality improvement to guide the new health system.

PubMed

Merry, M D

2001-03-01

While there are many areas, such as intensive care treatment and pain management, where great gains in quality improvement can be made, the greatest strides will come as the leaders and trustees in health care organizations begin to create "the industrial revolution" in their organizations by creating cultures of quality. Stephen Shortell recommends the following list of things board members can do to improve quality in their organizations.

45 CFR 1304.60 - Deficiencies and quality improvement plans.

Code of Federal Regulations, 2010 CFR

2010-10-01

... the approved Quality Improvement Plan, the responsible HHS official will issue a letter of termination... 45 Public Welfare 4 2010-10-01 2010-10-01 false Deficiencies and quality improvement plans. 1304... GRANTEE AND DELEGATE AGENCIES Implementation and Enforcement § 1304.60 Deficiencies and quality...

The process of managerial control in quality improvement initiatives.

PubMed

Slovensky, D J; Fottler, M D

1994-11-01

The fundamental intent of strategic management is to position an organization with in its market to exploit organizational competencies and strengths to gain competitive advantage. Competitive advantage may be achieved through such strategies as low cost, high quality, or unique services or products. For health care organizations accredited by the Joint Commission on Accreditation of Healthcare Organizations, continually improving both processes and outcomes of organizational performance--quality improvement--in all operational areas of the organization is a mandated strategy. Defining and measuring quality and controlling the quality improvement strategy remain problematic. The article discusses the nature and processes of managerial control, some potential measures of quality, and related information needs.

Does Medical Malpractice Law Improve Health Care Quality?

PubMed Central

Frakes, Michael; Jena, Anupam B.

2016-01-01

We assess the potential for medical liability forces to deter medical errors and improve health care treatment quality, identifying liability’s influence by drawing on variations in the manner by which states formulate the negligence standard facing physicians. Using hospital discharge records from the National Hospital Discharge Survey and clinically-validated quality metrics inspired by the Agency for Health Care Research and Quality, we find evidence suggesting that treatment quality may improve upon reforms that expect physicians to adhere to higher quality clinical standards. We do not find evidence, however, suggesting that treatment quality may deteriorate following reforms to liability standards that arguably condone the delivery of lower quality care. Similarly, we do not find evidence of deterioration in health care quality following remedy-focused liability reforms such as caps on non-economic damages awards. PMID:28479642

Analysis of visual quality improvements provided by known tools for HDR content

NASA Astrophysics Data System (ADS)

Kim, Jaehwan; Alshina, Elena; Lee, JongSeok; Park, Youngo; Choi, Kwang Pyo

2016-09-01

In this paper, the visual quality of different solutions for high dynamic range (HDR) compression using MPEG test contents is analyzed. We also simulate the method for an efficient HDR compression which is based on statistical property of the signal. The method is compliant with HEVC specification and also easily compatible with other alternative methods which might require HEVC specification changes. It was subjectively tested on commercial TVs and compared with alternative solutions for HDR coding. Subjective visual quality tests were performed using SUHD TVs model which is SAMSUNG JS9500 with maximum luminance up to 1000nit in test. The solution that is based on statistical property shows not only improvement of objective performance but improvement of visual quality compared to other HDR solutions, while it is compatible with HEVC specification.

Advancing a conceptual model to improve maternal health quality: The Person-Centered Care Framework for Reproductive Health Equity.

PubMed

Sudhinaraset, May; Afulani, Patience; Diamond-Smith, Nadia; Bhattacharyya, Sanghita; Donnay, France; Montagu, Dominic

2017-11-06

Background: Globally, substantial health inequities exist with regard to maternal, newborn and reproductive health. Lack of access to good quality care-across its many dimensions-is a key factor driving these inequities. Significant global efforts have been made towards improving the quality of care within facilities for maternal and reproductive health. However, one critically overlooked aspect of quality improvement activities is person-centered care. Main body: The objective of this paper is to review existing literature and theories related to person-centered reproductive health care to develop a framework for improving the quality of reproductive health, particularly in low and middle-income countries. This paper proposes the Person-Centered Care Framework for Reproductive Health Equity, which describes three levels of interdependent contexts for women's reproductive health: societal and community determinants of health equity, women's health-seeking behaviors, and the quality of care within the walls of the facility. It lays out eight domains of person-centered care for maternal and reproductive health. Conclusions: Person-centered care has been shown to improve outcomes; yet, there is no consensus on definitions and measures in the area of women's reproductive health care. The proposed Framework reviews essential aspects of person-centered reproductive health care.

Approaching the Practice Quality Improvement Project in Interventional Radiology.

PubMed

Reis, Stephen P; White, Benjamin; Sutphin, Patrick D; Pillai, Anil K; Kalva, Sanjeeva P; Toomay, Seth M

2015-12-01

An important component of maintenance of certification and quality improvement in radiology is the practice quality improvement (PQI) project. In this article, the authors describe several methodologies for initiating and completing PQI projects. Furthermore, the authors illustrate several tools that are vital in compiling, analyzing, and presenting data in an easily understandable and reproducible manner. Last, they describe two PQI projects performed in an interventional radiology division that have successfully improved the quality of care for patients. Using the DMAIC (define, measure, analyze, improve, control) quality improvement framework, interventional radiology throughput has been increased, to lessen mediport wait times from 43 to 8 days, and mediport infection rates have decreased from more than 2% to less than 0.4%. Copyright © 2015 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Accounting for quality: on the relationship between accounting and quality improvement in healthcare.

PubMed

Pflueger, Dane

2015-04-23

Accounting-that is, standardized measurement, public reporting, performance evaluation and managerial control-is commonly seen to provide the core infrastructure for quality improvement in healthcare. Yet, accounting successfully for quality has been a problematic endeavor, often producing dysfunctional effects. This has raised questions about the appropriate role for accounting in achieving quality improvement. This paper contributes to this debate by contrasting the specific way in which accounting is understood and operationalized for quality improvement in the UK National Health Service (NHS) with findings from the broadly defined 'social studies of accounting' literature and illustrative examples. This paper highlights three significant differences between the way that accounting is understood to operate in the dominant health policy discourse and recent healthcare reforms, and in the social studies of accounting literature. It shows that accounting does not just find things out, but makes them up. It shows that accounting is not simply a matter of substance, but of style. And it shows that accounting does not just facilitate, but displaces, control. The illumination of these differences in the way that accounting is conceptualized helps to diagnose why accounting interventions often fail to produce the quality improvements that were envisioned. This paper concludes that accounting is not necessarily incompatible with the ambition of quality improvement, but that it would need to be understood and operationalized in new ways in order to contribute to this end. Proposals for this new way of advancing accounting are discussed. They include the cultivation of overlapping and even conflicting measures of quality, the evaluation of accounting regimes in terms of what they do to practice, and the development of distinctively skeptical calculative cultures.

Minnesota 4-H Youth Program Quality Improvement Model

ERIC Educational Resources Information Center

Herman, Margo; Grant, Samantha

2015-01-01

The University of Minnesota Extension Center for Youth Development made an organizational decision in 2011 to invest in a system-wide approach to implement youth program quality into the 4-H program using the Youth Program Quality Assessment (YPQA) tool. This article describes the four key components to the Minnesota Youth Program Quality…

Sleep Quality Improvement During Cognitive Behavioral Therapy for Anxiety Disorders.

PubMed

Ramsawh, Holly J; Bomyea, Jessica; Stein, Murray B; Cissell, Shadha H; Lang, Ariel J

2016-01-01

Despite the ubiquity of sleep complaints among individuals with anxiety disorders, few prior studies have examined whether sleep quality improves during anxiety treatment. The current study examined pre- to posttreatment sleep quality improvement during cognitive behavioral therapy (CBT) for panic disorder (PD; n = 26) or generalized anxiety disorder (GAD; n = 24). Among sleep quality indices, only global sleep quality and sleep latency improved significantly (but modestly) during CBT. Sleep quality improvement was greater for treatment responders, but did not vary by diagnosis. Additionally, poor baseline sleep quality was independently associated with worse anxiety treatment outcome, as measured by higher intolerance of uncertainty. Additional intervention targeting sleep prior to or during CBT for anxiety may be beneficial for poor sleepers.

Management Systems, Patient Quality Improvement, Resource Availability, and Substance Abuse Treatment Quality

PubMed Central

Fields, Dail; Roman, Paul M; Blum, Terry C

2012-01-01

Objective To examine the relationships among general management systems, patient-focused quality management/continuous process improvement (TQM/CPI) processes, resource availability, and multiple dimensions of substance use disorder (SUD) treatment. Data Sources/Study Setting Data are from a nationally representative sample of 221 SUD treatment centers through the National Treatment Center Study (NTCS). Study Design The design was a cross-sectional field study using latent variable structural equation models. The key variables are management practices, TQM/continuous quality improvement (CQI) practices, resource availability, and treatment center performance. Data Collection Interviews and questionnaires provided data from treatment center administrative directors and clinical directors in 2007–2008. Principal Findings Patient-focused TQM/CQI practices fully mediated the relationship between internal management practices and performance. The effects of TQM/CQI on performance are significantly larger for treatment centers with higher levels of staff per patient. Conclusions Internal management practices may create a setting that supports implementation of specific patient-focused practices and protocols inherent to TQM/CQI processes. However, the positive effects of internal management practices on treatment center performance occur through use of specific patient-focused TQM/CPI practices and have more impact when greater amounts of supporting resources are present. PMID:22098342

AIR QUALITY MODELING OF PM AND AIR TOXICS AT NEIGHBORHOOD SCALES

EPA Science Inventory

The current interest in fine particles and toxics pollutants provide an impetus for extending air quality modeling capability towards improving exposure modeling and assessments. Human exposure models require information on concentration derived from interpolation of observati...

Improved quality of intrafraction kilovoltage images by triggered readout of unexposed frames

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

Poulsen, Per Rugaard, E-mail: per.poulsen@rm.dk; Jonassen, Johnny; Jensen, Carsten

2015-11-15

Purpose: The gantry-mounted kilovoltage (kV) imager of modern linear accelerators can be used for real-time tumor localization during radiation treatment delivery. However, the kV image quality often suffers from cross-scatter from the megavoltage (MV) treatment beam. This study investigates readout of unexposed kV frames as a means to improve the kV image quality in a series of experiments and a theoretical model of the observed image quality improvements. Methods: A series of fluoroscopic images were acquired of a solid water phantom with an embedded gold marker and an air cavity with and without simultaneous radiation of the phantom with amore » 6 MV beam delivered perpendicular to the kV beam with 300 and 600 monitor units per minute (MU/min). An in-house built device triggered readout of zero, one, or multiple unexposed frames between the kV exposures. The unexposed frames contained part of the MV scatter, consequently reducing the amount of MV scatter accumulated in the exposed frames. The image quality with and without unexposed frame readout was quantified as the contrast-to-noise ratio (CNR) of the gold marker and air cavity for a range of imaging frequencies from 1 to 15 Hz. To gain more insight into the observed CNR changes, the image lag of the kV imager was measured and used as input in a simple model that describes the CNR with unexposed frame readout in terms of the contrast, kV noise, and MV noise measured without readout of unexposed frames. Results: Without readout of unexposed kV frames, the quality of intratreatment kV images decreased dramatically with reduced kV frequencies due to MV scatter. The gold marker was only visible for imaging frequencies ≥3 Hz at 300 MU/min and ≥5 Hz for 600 MU/min. Visibility of the air cavity required even higher imaging frequencies. Readout of multiple unexposed frames ensured visibility of both structures at all imaging frequencies and a CNR that was independent of the kV frame rate. The image lag was 12

Principles of continuous quality improvement applied to intravenous therapy.

PubMed

Dunavin, M K; Lane, C; Parker, P E

1994-01-01

Documentation of the application of the principles of continuous quality improvement (CQI) to the health care setting is crucial for understanding the transition from traditional management models to CQI models. A CQI project was designed and implemented by the IV Therapy Department at Lawrence Memorial Hospital to test the application of these principles to intravenous therapy and as a learning tool for the entire organization. Through a prototype inventory project, significant savings in cost and time were demonstrated using check sheets, flow diagrams, control charts, and other statistical tools, as well as using the Plan-Do-Check-Act cycle. As a result, a primary goal, increased time for direct patient care, was achieved. Eight hours per week in nursing time was saved, relationships between two work areas were improved, and $6,000 in personnel costs, storage space, and inventory were saved.

Cost-Effective Adjustments to Nursing Home Staffing to Improve Quality.

PubMed

Bowblis, John R; Roberts, Amy Restorick

2018-06-01

Health care providers face fixed reimbursement rates from government sources and need to carefully adjust staffing to achieve the highest quality within a given cost structure. With data from the Certification and Survey Provider Enhanced Reports (1999-2015), this study holistically examined how staffing levels affect two publicly reported measures of quality in the nursing home industry, the number of deficiency citations and the deficiency score. While higher staffing consistently yielded better quality, the largest quality improvements resulted from increasing administrative registered nurses and social service staffing. After adjusting for wages, the most cost-effective investment for improving overall deficiency outcomes was increasing social services. Deficiencies related to quality of care were improved most by increasing administrative nursing and social service staff. Quality of life deficiencies were improved most by increasing social service and activities staff. Approaches to improve quality through staffing adjustments should target specific types of staff to maximize return on investment.

Using Creative Problem Solving (TRIZ) in Improving the Quality of Hospital Services

PubMed Central

LariSemnani, Behrouz; Far, Rafat Mohebbi; Shalipoor, Elham; Mohseni, Mohammad

2015-01-01

TRIZ is an initiative and SERVQUAL is a structured methodology for quality improvement. Using these tools, inventive problem solving can be applied for quality improvement, and the highest quality can be reached using creative quality improvement methodology. The present study seeks to determine the priority of quality aspects of services provided for patients in the hospital as well as how TRIZ can help in improving the quality of those services. This Study is an applied research which used a dynamic qualitative descriptive survey method during year 2011. Statistical population includes every patient who visited in one of the University Hospitals from March 2011. There existed a big gap between patients’ expectations from what seemingly is seen (the design of the hospital) and timely provision of services with their perceptions. Also, quality aspects of services were prioritized as follows: keeping the appearance of hospital (the design), accountability, assurance, credibility and having empathy. Thus, the only thing which mattered most for all staff and managers of studied hospital was the appearance of hospital as well as its staff look. This can grasp a high percentage of patients’ satisfaction. By referring to contradiction matrix, the most important principles of TRIZ model were related to tangible factors including principles No. 13 (discarding and recovering), 25 (self-service), 35 (parameter changes), and 2 (taking out). Furthermore, in addition to these four principles, principle No. 24 (intermediary) was repeated most among the others. By utilizing TRIZ, hospital problems can be examined with a more open view, Go beyond The conceptual framework of the organization and responded more quickly to patients ’ needs. PMID:25560360

Using creative problem solving (TRIZ) in improving the quality of hospital services.

PubMed

LariSemnani, Behrouz; Mohebbi Far, Rafat; Shalipoor, Elham; Mohseni, Mohammad

2014-08-14

TRIZ is an initiative and SERVQUAL is a structured methodology for quality improvement. Using these tools, inventive problem solving can be applied for quality improvement, and the highest quality can be reached using creative quality improvement methodology. The present study seeks to determine the priority of quality aspects of services provided for patients in the hospital as well as how TRIZ can help in improving the quality of those services. This Study is an applied research which used a dynamic qualitative descriptive survey method during year 2011. Statistical population includes every patient who visited in one of the University Hospitals from March 2011. There existed a big gap between patients' expectations from what seemingly is seen (the design of the hospital) and timely provision of services with their perceptions. Also, quality aspects of services were prioritized as follows: keeping the appearance of hospital (the design), accountability, assurance, credibility and having empathy. Thus, the only thing which mattered most for all staff and managers of studied hospital was the appearance of hospital as well as its staff look. This can grasp a high percentage of patients' satisfaction. By referring to contradiction matrix, the most important principles of TRIZ model were related to tangible factors including principles No. 13 (discarding and recovering), 25 (self-service), 35 (parameter changes), and 2 (taking out). Furthermore, in addition to these four principles, principle No. 24 (intermediary) was repeated most among the others. By utilizing TRIZ, hospital problems can be examined with a more open view, Go beyond The conceptual framework of the organization and responded more quickly to patients ' needs.

Using mobile technology to improve healthcare service quality.

PubMed

Chao, Chia Chen; Jen, Wen Yuan; Li, Yu-Chuan; Chi, Y P; Chen, Chang-I; Feng, Chen Chjeh

2005-01-01

Improving healthcare service quality for illness of treatment, illness prevention and patient service is difficult for most hospitals because the hospitals are lack adequate resources and labor. In order to provide better healthcare service quality for patients, mobile technology can be used to manage healthcare in a way that provides the optimal healthcare service for patients. Pursuing utilization of mobile technology for better patient service, Taipei Medical University Municipal W. F. Teaching Hospital has implemented a mobile healthcare service (m-HS) system to increase healthcare service quality. The m-HS system improves the quality of medical care as well as healthcare service. The m-HS is a multi-functional healthcare management agent, meets the mobile tendency of the present society. This study seeks to discuss the m-HS architecture and workflow processes. We believe the m-HS does have the potential to improve healthcare service quality. Finally, the conclusions and suggestions for the m-HS are given.

Developing Quality Improvement capacity and capability across the Children in Fife partnership.

PubMed

Morris, Craig; Alexander, Ingrid

2016-01-01

A Project Manager from the Fife Early Years Collaborative facilitated a large-scale Quality Improvement (herein QI) project to build organisational capacity and capability across the Children in Fife partnership through three separate, eight month training cohorts. This 18 month QI project enabled 32 practitioners to increase their skills, knowledge, and experiences in a variety of QI tools including the Model for Improvement which then supported the delivery of high quality improvement projects and improved outcomes for children and families. Essentially growing the confidence and capability of practitioners to deliver sustainable QI. 27 respective improvement projects were delivered, some leading to service redesign, reduced waiting times, increased uptake of health entitlements, and improved accessibility to front-line health services. 13 improvement projects spread or scaled beyond the initial site and informal QI mentoring took place with peers in respective agencies. Multiple PDSA cycles were conducted testing the most efficient and effective support mechanisms during and post training, maintaining regular contact, and utilising social media to share progress and achievements.

Quality and Safety in Health Care, Part XVII: The ACS National Surgical Quality Improvement Program.

PubMed

Harolds, Jay A

2016-12-01

Mainly due to the positive effect on quality and safety from the Veterans Health Administration National Surgical Quality Improvement Program (VASQIP), a National Surgical Quality Improvement Program (NSQIP) for private hospitals was begun, which is now under the auspices of the American College of Surgeons (ACS). More than 600 hospitals now participate in the ACS-NSQIP. The information gained by the institutions is typically utilized to initiate quality improvement activities. The ACS-NSQIP also shares information on how to get better results, has national meetings, and provides other support.

Quality control process improvement of flexible printed circuit board by FMEA

NASA Astrophysics Data System (ADS)

Krasaephol, Siwaporn; Chutima, Parames

2018-02-01

This research focuses on the quality control process improvement of Flexible Printed Circuit Board (FPCB), centred around model 7-Flex, by using Failure Mode and Effect Analysis (FMEA) method to decrease proportion of defective finished goods that are found at the final inspection process. Due to a number of defective units that were found at the final inspection process, high scraps may be escaped to customers. The problem comes from poor quality control process which is not efficient enough to filter defective products from in-process because there is no In-Process Quality Control (IPQC) or sampling inspection in the process. Therefore, the quality control process has to be improved by setting inspection gates and IPCQs at critical processes in order to filter the defective products. The critical processes are analysed by the FMEA method. IPQC is used for detecting defective products and reducing chances of defective finished goods escaped to the customers. Reducing proportion of defective finished goods also decreases scrap cost because finished goods incur higher scrap cost than work in-process. Moreover, defective products that are found during process can reflect the abnormal processes; therefore, engineers and operators should timely solve the problems. Improved quality control was implemented for 7-Flex production lines from July 2017 to September 2017. The result shows decreasing of the average proportion of defective finished goods and the average of Customer Manufacturers Lot Reject Rate (%LRR of CMs) equal to 4.5% and 4.1% respectively. Furthermore, cost saving of this quality control process equals to 100K Baht.

Quality Improvement of Liver Ultrasound Images Using Fuzzy Techniques.

PubMed

Bayani, Azadeh; Langarizadeh, Mostafa; Radmard, Amir Reza; Nejad, Ahmadreza Farzaneh

2016-12-01

Liver ultrasound images are so common and are applied so often to diagnose diffuse liver diseases like fatty liver. However, the low quality of such images makes it difficult to analyze them and diagnose diseases. The purpose of this study, therefore, is to improve the contrast and quality of liver ultrasound images. In this study, a number of image contrast enhancement algorithms which are based on fuzzy logic were applied to liver ultrasound images - in which the view of kidney is observable - using Matlab2013b to improve the image contrast and quality which has a fuzzy definition; just like image contrast improvement algorithms using a fuzzy intensification operator, contrast improvement algorithms applying fuzzy image histogram hyperbolization, and contrast improvement algorithms by fuzzy IF-THEN rules. With the measurement of Mean Squared Error and Peak Signal to Noise Ratio obtained from different images, fuzzy methods provided better results, and their implementation - compared with histogram equalization method - led both to the improvement of contrast and visual quality of images and to the improvement of liver segmentation algorithms results in images. Comparison of the four algorithms revealed the power of fuzzy logic in improving image contrast compared with traditional image processing algorithms. Moreover, contrast improvement algorithm based on a fuzzy intensification operator was selected as the strongest algorithm considering the measured indicators. This method can also be used in future studies on other ultrasound images for quality improvement and other image processing and analysis applications.

Relationship between soybean yield/quality and soil quality in a major soybean-producing area based on a 2D-QSAR model

NASA Astrophysics Data System (ADS)

Gao, Ming; Li, Shiwei

2017-05-01

Based on experimental data of the soybean yield and quality from 30 sampling points, a quantitative structure-activity relationship model (2D-QSAR) was established using the soil quality (elements, pH, organic matter content and cation exchange capacity) as independent variables and soybean yield or quality as the dependent variable, with SPSS software. During the modeling, the full data set (30 and 14 compounds) was divided into a training set (24 and 11 compounds) for model generation and a test set (6 and 3 compounds) for model validation. The R2 values of the resulting models and data were 0.826 and 0.808 for soybean yield and quality, respectively, and all regression coefficients were significant (P < 0.05). The correlation coefficient R2pred of observed values and predicted values of the soybean yield and soybean quality in the test set were 0.961 and 0.956, respectively, indicating that the models had a good predictive ability. Moreover, the Mo, Se, K, N and organic matter contents and the cation exchange capacity of soil had a positive effect on soybean production, and the B, Mo, Se, K and N contents and cation exchange coefficient had a positive effect on soybean quality. The results are instructive for enhancing soils to improve the yield and quality of soybean, and this method can also be used to study other crops or regions, providing a theoretical basis to improving the yield and quality of crops.

Teaching Evaluation: A Critical Measure for Improving the Quality of Education

ERIC Educational Resources Information Center

Ji, Zhou

2009-01-01

In the coming period, the main task for China's higher education system is to improve the quality of education, and the key to improving the quality of education is to improve the quality of teaching. Teaching evaluations are a critical measure for improving the quality of teaching. The work of evaluating teaching at institutions of higher…

How to Measure and Interpret Quality Improvement Data.

PubMed

McQuillan, Rory Francis; Silver, Samuel Adam; Harel, Ziv; Weizman, Adam; Thomas, Alison; Bell, Chaim; Chertow, Glenn M; Chan, Christopher T; Nesrallah, Gihad

2016-05-06

This article will demonstrate how to conduct a quality improvement project using the change idea generated in "How To Use Quality Improvement Tools in Clinical Practice: How To Diagnose Solutions to a Quality of Care Problem" by Dr. Ziv Harel and colleagues in this Moving Points feature. This change idea involves the introduction of a nurse educator into a CKD clinic with a goal of increasing rates of patients performing dialysis independently at home (home hemodialysis or peritoneal dialysis). Using this example, we will illustrate a Plan-Do-Study-Act (PDSA) cycle in action and highlight the principles of rapid cycle change methodology. We will then discuss the selection of outcome, process, and balancing measures, and the practicalities of collecting these data in the clinic environment. We will also introduce the PDSA worksheet as a practical way to oversee the progress of a quality improvement project. Finally, we will demonstrate how run charts are used to visually illustrate improvement in real time, and how this information can be used to validate achievement, respond appropriately to challenges the project may encounter, and prove the significance of results. This article aims to provide readers with a clear and practical framework upon which to trial their own ideas for quality improvement in the clinical setting. Copyright © 2016 by the American Society of Nephrology.

Issues in Measuring and Improving Health Care Quality