Literature DB >> 10916909

A framework for assessing the performance of health systems.

C J Murray1, J Frenk.   

Abstract

Health systems vary widely in performance, and countries with similar levels of income, education and health expenditure differ in their ability to attain key health goals. This paper proposes a framework to advance the understanding of health system performance. A first step is to define the boundaries of the health system, based on the concept of health action. Health action is defined as any set of activities whose primary intent is to improve or maintain health. Within these boundaries, the concept of performance is centred around three fundamental goals: improving health, enhancing responsiveness to the expectations of the population, and assuring fairness of financial contribution. Improving health means both increasing the average health status and reducing health inequalities. Responsiveness includes two major components: (a) respect for persons (including dignity, confidentiality and autonomy of individuals and families to decide about their own health); and (b) client orientation (including prompt attention, access to social support networks during care, quality of basic amenities and choice of provider). Fairness of financial contribution means that every household pays a fair share of the total health bill for a country (which may mean that very poor households pay nothing at all). This implies that everyone is protected from financial risks due to health care. The measurement of performance relates goal attainment to the resources available. Variation in performance is a function of the way in which the health system organizes four key functions: stewardship (a broader concept than regulation); financing (including revenue collection, fund pooling and purchasing); service provision (for personal and non-personal health services); and resource generation (including personnel, facilities and knowledge). By investigating these four functions and how they combine, it is possible not only to understand the proximate determinants of health system performance, but also to contemplate major policy challenges.

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Mesh:

Year:  2000        PMID: 10916909      PMCID: PMC2560787     

Source DB:  PubMed          Journal:  Bull World Health Organ        ISSN: 0042-9686            Impact factor:   9.408


  191 in total

1.  Socio-economic disparities in health system responsiveness in India.

Authors:  Chetna Malhotra; Young Kyung Do
Journal:  Health Policy Plan       Date:  2012-06-17       Impact factor: 3.344

2.  A knowledge based search tool for performance measures in health care systems.

Authors:  Oya D Beyan; Nazife Baykal
Journal:  J Med Syst       Date:  2010-04-14       Impact factor: 4.460

3.  Analysis of the validity of the vignette approach to correct for heterogeneity in reporting health system responsiveness.

Authors:  Nigel Rice; Silvana Robone; Peter Smith
Journal:  Eur J Health Econ       Date:  2010-03-28

4.  Health Policy, Health Systems Research and Analysis Capacity Assessment of the School of Public Health, University of Ghana.

Authors:  I A Agyepong; K Anniah; M Aikins; P Akweongo; R Esena; T Mirzoev
Journal:  Ghana Med J       Date:  2015-09

Review 5.  Time to reassess strategies for improving health in developing countries.

Authors:  David B Evans; Taghreed Adam; Tessa Tan-Torres Edejer; Stephen S Lim; Andrew Cassels; Timothy G Evans
Journal:  BMJ       Date:  2005-11-12

6.  Efficient management of health centres human resources in Zambia.

Authors:  Felix Masiye; Joses M Kirigia; Ali Emrouznejad; Luis G Sambo; Abdou Mounkaila; Davis Chimfwembe; David Okello
Journal:  J Med Syst       Date:  2006-12       Impact factor: 4.460

7.  How responsive Turkish health care system is to its citizens: the views of hospital managers.

Authors:  Ozgur Ugurluoglu; Yusuf Celik
Journal:  J Med Syst       Date:  2006-12       Impact factor: 4.460

8.  Measuring quality of health care from the user's perspective in 41 countries: psychometric properties of WHO's questions on health systems responsiveness.

Authors:  N B Valentine; G J Bonsel; C J L Murray
Journal:  Qual Life Res       Date:  2007-07-11       Impact factor: 4.147

9.  Analyzing whether countries are equally efficient at improving longevity for men and women.

Authors:  Douglas Barthold; Arijit Nandi; José M Mendoza Rodríguez; Jody Heymann
Journal:  Am J Public Health       Date:  2013-12-12       Impact factor: 9.308

Review 10.  Burden, access, and disparities in kidney disease.

Authors:  Deidra C Crews; Aminu K Bello; Gamal Saadi
Journal:  J Nephrol       Date:  2019-02       Impact factor: 3.902

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