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      Implementation of Departmental Quality Strategies Is Positively Associated with Clinical Practice: Results of a Multicenter Study in 73 Hospitals in 7 European Countries

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          Abstract

          Background

          Given the amount of time and resources invested in implementing quality programs in hospitals, few studies have investigated their clinical impact and what strategies could be recommended to enhance its effectiveness.

          Objective

          To assess variations in clinical practice and explore associations with hospital- and department-level quality management systems.

          Design

          Multicenter, multilevel cross-sectional study.

          Setting and Participants

          Seventy-three acute care hospitals with 276 departments managing acute myocardial infarction, deliveries, hip fracture, and stroke in seven countries.

          Intervention

          None.

          Measures

          Predictor variables included 3 hospital- and 4 department-level quality measures. Six measures were collected through direct observation by an external surveyor and one was assessed through a questionnaire completed by hospital quality managers. Dependent variables included 24 clinical practice indicators based on case note reviews covering the 4 conditions (acute myocardial infarction, deliveries, hip fracture and stroke). A directed acyclic graph was used to encode relationships between predictors, outcomes, and covariates and to guide the choice of covariates to control for confounding.

          Results and Limitations

          Data were provided on 9021 clinical records by 276 departments in 73 hospitals. There were substantial variations in compliance with the 24 clinical practice indicators. Weak associations were observed between hospital quality systems and 4 of the 24 indicators, but on analyzing department-level quality systems, strong associations were observed for 8 of the 11 indicators for acute myocardial infarction and stroke. Clinical indicators supported by higher levels of evidence were more frequently associated with quality systems and activities.

          Conclusions

          There are significant gaps between recommended standards of care and clinical practice in a large sample of hospitals. Implementation of department-level quality strategies was significantly associated with good clinical practice. Further research should aim to develop clinically relevant quality standards for hospital departments, which appear to be more effective than generic hospital-wide quality systems.

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          Most cited references27

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          Health sector accreditation research: a systematic review.

          The purpose of this study was to identify and analyze research into accreditation and accreditation processes. A multi-method, systematic review of the accreditation literature was conducted from March to May 2007. The search identified articles researching accreditation. Discussion or commentary pieces were excluded. From the initial identification of over 3000 abstracts, 66 studies that met the search criteria by empirically examining accreditation were selected. DATA EXTRACTION AND RESULTS OF DATA SYNTHESIS: The 66 studies were retrieved and analyzed. The results, examining the impact or effectiveness of accreditation, were classified into 10 categories: professions' attitudes to accreditation, promote change, organizational impact, financial impact, quality measures, program assessment, consumer views or patient satisfaction, public disclosure, professional development and surveyor issues. The analysis reveals a complex picture. In two categories consistent findings were recorded: promote change and professional development. Inconsistent findings were identified in five categories: professions' attitudes to accreditation, organizational impact, financial impact, quality measures and program assessment. The remaining three categories-consumer views or patient satisfaction, public disclosure and surveyor issues-did not have sufficient studies to draw any conclusion. The search identified a number of national health care accreditation organizations engaged in research activities. The health care accreditation industry appears to be purposefully moving towards constructing the evidence to ground our understanding of accreditation.
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            Quality improvement implementation and hospital performance on quality indicators.

            To examine the association between the scope of quality improvement (QI) implementation in hospitals and hospital performance on selected indicators of clinical quality. Secondary data from 1997 mailed survey of hospital QI practices, Medicare Inpatient Database, American Hospital Association's Annual Survey of Hospitals, the Bureau of Health Professions' Area Resource File, and two proprietary data sets compiled by Solucient Inc. containing data on managed care penetration and hospital financial performance. Cross-sectional study of 1,784 community hospitals to assess relationship between QI implementation approach and six hospital-level quality indicators. DATA COLLECTION/ABSTRACTION METHODS: Two-stage instrumental variables estimation in which predicted values (instruments) of four QI scope variables and control (exogenous) variables used to estimate hospital-level quality indicators. Involvement by multiple hospital units in QI effort is associated with worse values on hospital-level quality indicators. Percentage of hospital staff and percentage of senior managers participating in formally organized QI teams are associated with better values on quality indicators. Percentage of physicians participating in QI teams is not associated with better values on the hospital-level quality indicators studied. Results supported the proposition that the scope of QI implementation in hospitals is significantly associated with hospital-level quality indicators. However, the direction of the association varied across different measures of QI implementation scope.
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              Connections between quality measurement and improvement.

              Measurement is necessary but not sufficient for quality improvement. Because the purpose of the national quality measurement and reporting system (NQMRS) is to improve quality, a discussion of the link between measurement and improvement is critical for ensuring an appropriate system design. To classify approaches to the use of measurement in improvement into two different--although linked and potentially synergistic--agendas, or "pathways." To discuss the barriers encountered in each of these pathways and identify steps needed to motivate improvement in both pathways. Descriptive, conceptual discussion. The barriers to the use of information to motivate change include, in Pathway I (selection), the lack of skill, knowledge, and motivation on the part of those who could drive change by using data to choose from among competing providers, and, in Pathway II (change in care delivery), the deficiencies in organizational and professional capacity in health care to lead change and improvement itself. Neither the dynamics of selection nor the dynamics of improvement work reliably today. The barriers are not just in the lack of uniform, simple, and reliable measurements, they also include a lack of capacity among the organizations and individuals acting on both pathways.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                20 November 2015
                2015
                : 10
                : 11
                : e0141157
                Affiliations
                [1 ]Avedis Donabedian Research Institute (FAD), Universitat Autonoma de Barcelona, Barcelona, Spain
                [2 ]Red de investigación en servicios de salud en enfermedades crónicas REDISSEC, Barcelona, Spain
                [3 ]NIVEL, Netherlands Institute for Health Services Research, Utrecht, The Netherlands
                [4 ]Department of Public and Occupational Health,EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
                [5 ]Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles (UCLA), Los Angeles, California, United States of America
                [6 ]Danish Clinical Registries, Aarhus, Denmark
                [7 ]Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
                [8 ]Institute for Medical Sociology, Health Services Research and Rehabilitation Science, University of Cologne, Cologne, Germany
                [9 ]Center for Health Services Research Cologne, University of Cologne, Cologne, Germany
                [10 ]Department of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
                [11 ]Palo Alto Medical Foundation Research Institute (PAMFRI), Palo Alto, California, United States of America
                [12 ]Hospices Civils de Lyon, Université Claude Bernard Lyon 1, Lyon, France
                [13 ]Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom
                University of Florence, ITALY
                Author notes

                Competing Interests: The authors have declared no compiting interest exists.

                Conceived and designed the experiments: RS CW OAA SK HP NK CAT AW MD PB PM OG. Analyzed the data: RS CW OAA SK HP NK CAT AW MD PB PM OG. Contributed reagents/materials/analysis tools: RS CW OAA SK HP NK CAT AW MD PB PM OG. Wrote the paper: RS CW OAA SK HP NK CAT AW MD PB PM OG.

                ¶ Membership of the DUQuE Project Consortium is provided in the Acknowledgments.

                Article
                PONE-D-15-25776
                10.1371/journal.pone.0141157
                4654525
                26588842
                47cb0e56-cf6a-400f-9eb4-bbac30b2a31f
                Copyright @ 2015

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 16 June 2015
                : 3 October 2015
                Page count
                Figures: 2, Tables: 4, Pages: 16
                Funding
                This work was supported by the European Commission's Seventh Framework Program FP7/2007–2013 [ec.europa.eu/index_en.htm] under the grant agreement number 241822. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Funding to pay the Open Access publication charges for this article was provided under grant agreement no. 241822. There was not additional extra funding received for this study.
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