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Equity-Oriented Monitoring in the Context of Universal Health Coverage


Monitoring inequalities in health is fundamental to the equitable and progressive realization of universal health coverage (UHC). A successful approach to global inequality monitoring must be intuitive enough for widespread adoption, yet maintain technical credibility. This article discusses methodological considerations for equity-oriented monitoring of UHC, and proposes recommendations for monitoring and target setting. Inequality is multidimensional, such that the extent of inequality may vary considerably across different dimensions such as economic status, education, sex, and urban/rural residence. Hence, global monitoring should include complementary dimensions of inequality (such as economic status and urban/rural residence) as well as sex. For a given dimension of inequality, subgroups for monitoring must be formulated taking into consideration applicability of the criteria across countries and subgroup heterogeneity. For economic-related inequality, we recommend forming subgroups as quintiles, and for urban/rural inequality we recommend a binary categorization. Inequality spans populations, thus appropriate approaches to monitoring should be based on comparisons between two subgroups (gap approach) or across multiple subgroups (whole spectrum approach). When measuring inequality absolute and relative measures should be reported together, along with disaggregated data; inequality should be reported alongside the national average. We recommend targets based on proportional reductions in absolute inequality across populations. Building capacity for health inequality monitoring is timely, relevant, and important. The development of high-quality health information systems, including data collection, analysis, interpretation, and reporting practices that are linked to review and evaluation cycles across health systems, will enable effective global and national health inequality monitoring. These actions will support equity-oriented progressive realization of UHC.


Vyšlo v časopise: Equity-Oriented Monitoring in the Context of Universal Health Coverage. PLoS Med 11(9): e32767. doi:10.1371/journal.pmed.1001727
Kategorie: Collection Review
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pmed.1001727

Souhrn

Monitoring inequalities in health is fundamental to the equitable and progressive realization of universal health coverage (UHC). A successful approach to global inequality monitoring must be intuitive enough for widespread adoption, yet maintain technical credibility. This article discusses methodological considerations for equity-oriented monitoring of UHC, and proposes recommendations for monitoring and target setting. Inequality is multidimensional, such that the extent of inequality may vary considerably across different dimensions such as economic status, education, sex, and urban/rural residence. Hence, global monitoring should include complementary dimensions of inequality (such as economic status and urban/rural residence) as well as sex. For a given dimension of inequality, subgroups for monitoring must be formulated taking into consideration applicability of the criteria across countries and subgroup heterogeneity. For economic-related inequality, we recommend forming subgroups as quintiles, and for urban/rural inequality we recommend a binary categorization. Inequality spans populations, thus appropriate approaches to monitoring should be based on comparisons between two subgroups (gap approach) or across multiple subgroups (whole spectrum approach). When measuring inequality absolute and relative measures should be reported together, along with disaggregated data; inequality should be reported alongside the national average. We recommend targets based on proportional reductions in absolute inequality across populations. Building capacity for health inequality monitoring is timely, relevant, and important. The development of high-quality health information systems, including data collection, analysis, interpretation, and reporting practices that are linked to review and evaluation cycles across health systems, will enable effective global and national health inequality monitoring. These actions will support equity-oriented progressive realization of UHC.


Zdroje

1. UN System Task Team on the Post-2015 UN Development Agenda (2012) Realizing the future we want for all: report to the Secretary-General. New York: UN.

2. UNICEF (2010) Progress for children: achieving the MDGs with equity. New York: UNICEF.

3. World Health Organization (2013) The World Health Report 2013: research for universal health coverage. Geneva: World Health Organization.

4. World Health Organization (2013) Global Health Observatory: Health Equity Monitor. Geneva: World Health Organization.

5. World Health Organization (2014) Equity. Geneva: World Health Organization.

6. Commission on Social Determinants of Health (2008) Closing the gap in a generation: health equity through action on the social determinants of health: final report of the commission on social determinants of health. Geneva: World Health Organization.

7. Task Team for the Global Thematic Consultation on Health in the Post-2015 Development Agenda (2013) Health in the post-2015 agenda: report of the global thematic consultation on health.

8. World Health Organization, The World Bank (2014) Monitoring progress towards universal health coverage at country and global levels: framework, measures and targets. Geneva: World Health Organization and The World Bank.

9. United Nations General Assembly (2012) Draft resolution A/67/L.36 Global health and foreign policy. New York: UN.

10. World Health Organization (2010) World Health Report 2010: health systems financing. Geneva: World Health Organization.

11. VictoraCG, BarrosAJ, AxelsonH, BhuttaZA, ChopraM, et al. (2012) How changes in coverage affect equity in maternal and child health interventions in 35 Countdown to 2015 countries: an analysis of national surveys. Lancet 380: 1149–1156.

12. HartJT (2004) Inverse and positive care laws. Br J Gen Pract 54: 890.

13. GwatkinDR, ErgoA (2011) Universal health coverage: friend or foe of health equity? Lancet 377: 2160–2161.

14. Brearley L, Marten R, O'Connell T (2013) Universal health coverage: a committment to close the gap. London: Save the Children.

15. Global thematic consultation on the post-2015 development agenda: addressing inequalities. Synthesis report of global public consultation. UNICEF and UN Women

16. MarmotM (2013) Universal health coverage and social determinants of health. Lancet 382: 1227–1228.

17. VegaJ, FrenzP (2013) Integrating social determinants of health in the universal health coverage monitoring framework. Rev Panam Salud Publica 34: 468–472.

18. World Health Organization (2013) Handbook on health inequality monitoring: with a special focus on low- and middle-income countries. Geneva: World Health Organization.

19. Commission on information and accountability for women's and children's health (2011) Keeping promises, measuring results. Geneva: World Health Organization.

20. World Health Assembly (2009) Resolution 62.14 on reducing health inequities through action on the social determinants of health. Geneva: World Health Organization.

21. (2012) Meeting report: measurement of trends and equity in coverage of health interventions in the context of universal health coverage. www.worldwewant2015.org/file/279371/download/302866?. Accessed 15 August 2014.

22. O'Donnell O, van Doorslaer E, Wagstaff A, Lindelow M (2008) Analyzing health equity using household survey data. Washington (DC): World Bank Publications.

23. United Nations Department of Economic and Social Affairs (2013) World Urbanization Prospects, the 2011 Revision. New York: UN.

24. World Health Organization, United Nations Human Settlements Programme (2010) Hidden cities: unmasking and overcoming health inequities in urban settings. Geneva: World Health Organization.

25. Van de PoelE, O'DonnellO, van DoorslaerE (2007) Are urban children really healthier? Evidence from 47 developing countries. Soc Sci Med 65: 1986–2003.

26. HarperS, KingNB, MeersmanSC, ReichmanME, BreenN, et al. (2010) Implicit value judgments in the measurement of health inequalities. Milbank Q 88: 4–29.

27. GrahamH (2004) Tackling inequalities in health in England: remedying health disadvantages, narrowing health gaps or reducing health gradients? J Soc Policy 33: 115–131.

28. BenachJ, MalmusiD, YasuiY, MartinezJM (2012) A new typology of policies to tackle health inequalities and scenarios of impact based on Rose's population approach. J Epidemiol Community Health 67: 286–291.

29. UN System Task Team on the Post-2015 UN Development Agenda (2013) Statistics and indicators for the post-2015 development agenda. New York: UN

30. Harper S, Lynch J (2005) Methods for measuring cancer disparities: using data relevant to Healthy People 2010 cancer-related objectives. Bethesda: National Cancer Institute.

31. United Nations Statistics Division (2013) Millennium Development Goals Indicators. New York: UN.

32. United Nations Human Rights Office of the High Commissioner (2012) Human rights indicators: a guide to measurement and implementation. New York: UN.

33. STEPwise approach to chronic disease risk factor surveillance (STEPS) (2014) Available: http://www.who.int/chp/steps/riskfactor/en/. Accessed 15 August 2014.

34. HoweLD, GalobardesB, MatijasevichA, GordonD, JohnstonD, et al. (2012) Measuring socio-economic position for epidemiological studies in low- and middle-income countries: a methods of measurement in epidemiology paper. Int J Epidemiol 41: 871–886.

35. WagstaffA, PaciP, van DoorslaerE (1991) On the measurement of inequalities in health. Soc Sci Med 33: 545–557.

36. HosseinpoorAR, VictoraCG, BergenN, BarrosAJ, BoermaT (2011) Towards universal health coverage: the role of within-country wealth-related inequality in 28 countries in sub-Saharan Africa. Bull World Health Organ 89: 881–890.

37. SaksenaP, HsuJ, EvansD (2014) Financial risk protection and universal health coverage: evidence and measurement challenges. PLoS Med 11: 1001701.

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PLOS Medicine


2014 Číslo 9
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