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Requirements and Application Guide for the Use of Quality Indicators in Medical Care: Results of a Systematic Review
1GeQiK Geschäftsstelle Qualitätssicherung im Krankenhaus bei der Baden-Württembergischen Krankenhausgesellschaft Stuttgart.
Abstract:
Background: Quality indicators are employed in the assessment of quality of medical care. Valid measurement and reporting of quality are essential for maintenance and enhancement of high-quality medical care. The aim of this study was to identify the requirements for quality indicators and their successful implementation in routine care. Method: A systematic literature search conducted in Medline using MESH keywords resulted in 573 hits. A complementary hand search additionally identified 153 papers, so that in all 726 abstracts were screened. In conformity with the PRISMA Statement, 83 papers were finally included in this review. Results: Quality criteria are described in 48 publications and requirements for the application of quality indicators in medical care are given in 41 publications. Validity (n=19), feasibility (n=16), reliability (n=15), and interpretability of the quality indicator (n=14) are the most frequently named quality criteria, followed by relevance (n=10), sensitivity (n=8) and risk adjustment (n=6). The most common requirements for the application of quality indicators are integration of quality indicators in the given healthcare setting (n=15) and ability to derive potential improvement (n=11), data validity (n=8), data availability (n=7) as well as acceptance of the measurement in the given setting (n=6). Conclusion: Plausible quality measurements help improve healthcare structures and processes and provide patients and professionals with valid statements on the quality of care. The original articles examined focus primarily on the validity of quality indicators. A consensus on methodological criteria for the development, implementation and application of quality indicators is required. Furthermore, the practical applicability of quality criteria should be tested empirically.
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