The health equity measurement framework: a comprehensive model to measure social inequities in health

Abstract Background Despite the wealth of frameworks on social determinants of health (SDOH), two current limitations include the relative superficial description of factors affecting health and a lack of focus on measuring health equity. The Health Equity Measurement Framework (HEMF) addresses thes...

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Main Authors: Douglas C. Dover, Ana Paula Belon
Format: Article
Language:English
Published: BMC 2019-02-01
Series:International Journal for Equity in Health
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12939-019-0935-0
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spelling doaj-37251eac21084af38778c007fc3317112020-11-25T00:18:32ZengBMCInternational Journal for Equity in Health1475-92762019-02-0118111210.1186/s12939-019-0935-0The health equity measurement framework: a comprehensive model to measure social inequities in healthDouglas C. Dover0Ana Paula Belon1Alberta Health, Government of AlbertaSchool of Public Health, University of AlbertaAbstract Background Despite the wealth of frameworks on social determinants of health (SDOH), two current limitations include the relative superficial description of factors affecting health and a lack of focus on measuring health equity. The Health Equity Measurement Framework (HEMF) addresses these gaps by providing a more encompassing view of the multitude of SDOH and drivers of health service utilisation and by guiding quantitative analysis for public health surveillance and policy development. The objective of this paper is to present the HEMF, which was specifically designed to measure the direct and indirect effects of SDOH to support improved statistical modelling and measurement of health equity. Methods Based on a framework synthesis, the HEMF development involved initially integrating theoretical components from existing SDOH and health system utilisation frameworks. To further develop the framework, relevant publications on SDOH and health equity were identified through a literature review in major electronic databases. White and grey literatures were critically reviewed to identify strengths and gaps in the existing frameworks in order to inform the development of a unique health equity measurement framework. Finally, over a two-year period of consultation, scholars, health practitioners, and local policy influencers from municipal and provincial governments provided critical feedback on the framework regarding its components and causal relationships. Results This unified framework includes the socioeconomic, cultural, and political context, health policy context, social stratification, social location, material and social circumstances, environment, biological factors, health-related behaviours and beliefs, stress, quality of care, and healthcare utilisation. Alongside the HEMF’s self-exploratory diagram showing the causal pathways in-depth, a number of examples are provided to illustrate the framework’s usefulness in measuring and monitoring health equity as well as informing policy-making. Conclusions The HEMF highlights intervention areas to be influenced by strategic public policy for any organisation whose purview has an effect on health, including helping non-health sectors (such as education and labour) to better understand how their policies influence population health and perceive their role in health equity promotion. The HEMF recognises the complexity surrounding the SDOH and provides a clear, overarching direction for empirical work on health equity.http://link.springer.com/article/10.1186/s12939-019-0935-0Health equityInequitiesHealthcareSocial determinants of healthPublic health surveillanceFramework
collection DOAJ
language English
format Article
sources DOAJ
author Douglas C. Dover
Ana Paula Belon
spellingShingle Douglas C. Dover
Ana Paula Belon
The health equity measurement framework: a comprehensive model to measure social inequities in health
International Journal for Equity in Health
Health equity
Inequities
Healthcare
Social determinants of health
Public health surveillance
Framework
author_facet Douglas C. Dover
Ana Paula Belon
author_sort Douglas C. Dover
title The health equity measurement framework: a comprehensive model to measure social inequities in health
title_short The health equity measurement framework: a comprehensive model to measure social inequities in health
title_full The health equity measurement framework: a comprehensive model to measure social inequities in health
title_fullStr The health equity measurement framework: a comprehensive model to measure social inequities in health
title_full_unstemmed The health equity measurement framework: a comprehensive model to measure social inequities in health
title_sort health equity measurement framework: a comprehensive model to measure social inequities in health
publisher BMC
series International Journal for Equity in Health
issn 1475-9276
publishDate 2019-02-01
description Abstract Background Despite the wealth of frameworks on social determinants of health (SDOH), two current limitations include the relative superficial description of factors affecting health and a lack of focus on measuring health equity. The Health Equity Measurement Framework (HEMF) addresses these gaps by providing a more encompassing view of the multitude of SDOH and drivers of health service utilisation and by guiding quantitative analysis for public health surveillance and policy development. The objective of this paper is to present the HEMF, which was specifically designed to measure the direct and indirect effects of SDOH to support improved statistical modelling and measurement of health equity. Methods Based on a framework synthesis, the HEMF development involved initially integrating theoretical components from existing SDOH and health system utilisation frameworks. To further develop the framework, relevant publications on SDOH and health equity were identified through a literature review in major electronic databases. White and grey literatures were critically reviewed to identify strengths and gaps in the existing frameworks in order to inform the development of a unique health equity measurement framework. Finally, over a two-year period of consultation, scholars, health practitioners, and local policy influencers from municipal and provincial governments provided critical feedback on the framework regarding its components and causal relationships. Results This unified framework includes the socioeconomic, cultural, and political context, health policy context, social stratification, social location, material and social circumstances, environment, biological factors, health-related behaviours and beliefs, stress, quality of care, and healthcare utilisation. Alongside the HEMF’s self-exploratory diagram showing the causal pathways in-depth, a number of examples are provided to illustrate the framework’s usefulness in measuring and monitoring health equity as well as informing policy-making. Conclusions The HEMF highlights intervention areas to be influenced by strategic public policy for any organisation whose purview has an effect on health, including helping non-health sectors (such as education and labour) to better understand how their policies influence population health and perceive their role in health equity promotion. The HEMF recognises the complexity surrounding the SDOH and provides a clear, overarching direction for empirical work on health equity.
topic Health equity
Inequities
Healthcare
Social determinants of health
Public health surveillance
Framework
url http://link.springer.com/article/10.1186/s12939-019-0935-0
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