Literature DB >> 16954510

A conceptual framework for the OECD Health Care Quality Indicators Project.

Onyebuchi A Arah1, Gert P Westert, Jeremy Hurst, Niek S Klazinga.   

Abstract

ISSUES: The Health Care Quality Indicator (HCQI) Project of the Organization for Economic Cooperation and Development (OECD), which is aimed at developing a set of indicators for comparing the quality of health care across OECD member countries, requires a balanced conceptual framework that outlines the main concepts and domains of performance that should be captured for the current and subsequent phases of the project. ADDRESSING THE ISSUES: This article develops a conceptual framework for the OECD's HCQI Project. It first argues that developing such a framework should start by addressing the question, 'performance of what-and to what ends?' We identify at least two different major classes of frameworks: (i) health and (ii) health care performance frameworks, both of which are in common use. For the HCQI, we suggest a conceptual framework that is largely a purposeful modification of the existing performance frameworks and which is driven by the health determinants model.
CONCLUSIONS: The conceptual basis for performance frameworks can be traced back to the health determinants model. A health performance framework takes a broader, societal or public health view of health determination, whereas a health care performance takes a narrower, mostly clinical or technical view of health care in relation to health (needs). This article proposes an HCQI framework that focuses on the quality of health care, maintains a broader perspective on health and its other determinants, and recognizes the key aims of health policy.

Mesh:

Year:  2006        PMID: 16954510     DOI: 10.1093/intqhc/mzl024

Source DB:  PubMed          Journal:  Int J Qual Health Care        ISSN: 1353-4505            Impact factor:   2.038


  105 in total

1.  Association between primary care organisation population size and quality of commissioning in England: an observational study.

Authors:  Felix Greaves; Christopher Millett; Utz J Pape; Michael Soljak; Azeem Majeed
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2.  Associations between technical quality of diabetes care and patient experience.

Authors:  Onyebuchi A Arah; Bastiaan Roset; Diana M J Delnoij; Niek S Klazinga; Karien Stronks
Journal:  Health Expect       Date:  2011-11-08       Impact factor: 3.377

3.  A novel method for measuring health care system performance: experience from QIDS in the Philippines.

Authors:  Orville Solon; Kimberly Woo; Stella A Quimbo; Riti Shimkhada; Jhiedon Florentino; John W Peabody
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4.  Comparisons of hospital output in Canada: national and international perspectives.

Authors:  Ruolz Ariste; Kam Yu
Journal:  Int J Health Econ Manag       Date:  2017-05-12

5.  Quality of mental health care indicators to improve care.

Authors:  F Amaddeo; M Tansella
Journal:  Epidemiol Psychiatr Sci       Date:  2012-12-20       Impact factor: 6.892

Review 6.  Benchmarking: a method for continuous quality improvement in health.

Authors:  Amina Ettorchi-Tardy; Marie Levif; Philippe Michel
Journal:  Healthc Policy       Date:  2012-05

7.  The white papers, quality indicators and clinical responsibility.

Authors:  Andrew Spencer
Journal:  Clin Med (Lond)       Date:  2012-02       Impact factor: 2.659

Review 8.  The breadth of primary care: a systematic literature review of its core dimensions.

Authors:  Dionne S Kringos; Wienke G W Boerma; Allen Hutchinson; Jouke van der Zee; Peter P Groenewegen
Journal:  BMC Health Serv Res       Date:  2010-03-13       Impact factor: 2.655

9.  Improving benchmarking by using an explicit framework for the development of composite indicators: an example using pediatric quality of care.

Authors:  Jochen Profit; Katri V Typpo; Sylvia J Hysong; LeChauncy D Woodard; Michael A Kallen; Laura A Petersen
Journal:  Implement Sci       Date:  2010-02-09       Impact factor: 7.327

Review 10.  Transforming medical professionalism to fit changing health needs.

Authors:  Thomas Plochg; Niek S Klazinga; Barbara Starfield
Journal:  BMC Med       Date:  2009-10-26       Impact factor: 8.775

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