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Measuring the Health of Populations: Explaining Composite Indicators

Indicators that summarise the health status of a population and that provide comparable measures of a population disease burden are increasingly vital tools for health policy decision making. Decisions concerning health systems across the world are greatly affected by changes in disease profiles and...

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Detalles Bibliográficos
Autores principales: Hyder, Adnan A., Puvanachandra, Prasanthi, Morrow, Richard H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PAGEPress Publications 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4140376/
https://www.ncbi.nlm.nih.gov/pubmed/25170468
http://dx.doi.org/10.4081/jphr.2012.e35
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author Hyder, Adnan A.
Puvanachandra, Prasanthi
Morrow, Richard H.
author_facet Hyder, Adnan A.
Puvanachandra, Prasanthi
Morrow, Richard H.
author_sort Hyder, Adnan A.
collection PubMed
description Indicators that summarise the health status of a population and that provide comparable measures of a population disease burden are increasingly vital tools for health policy decision making. Decisions concerning health systems across the world are greatly affected by changes in disease profiles and population dynamics, and must develop the capacity to respond to such changes effectively within the resources of each nation. Decisions must be based on evidence of the patterns of diseases, their risk factors and the effectiveness of alternative interventions. This paper focuses on the main approaches used for developing summary measures that include mortality and morbidity occurring in a population. It discusses the rationale for composite measures and reviews the origins of each main approach. The paper also examines methodological differences among these approaches making explicit the value choices that each entails, outlines the advantages and limitations of each measure, and shows how they relate to one another.
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spelling pubmed-41403762014-08-28 Measuring the Health of Populations: Explaining Composite Indicators Hyder, Adnan A. Puvanachandra, Prasanthi Morrow, Richard H. J Public Health Res Reviews and Meta-Analysis Indicators that summarise the health status of a population and that provide comparable measures of a population disease burden are increasingly vital tools for health policy decision making. Decisions concerning health systems across the world are greatly affected by changes in disease profiles and population dynamics, and must develop the capacity to respond to such changes effectively within the resources of each nation. Decisions must be based on evidence of the patterns of diseases, their risk factors and the effectiveness of alternative interventions. This paper focuses on the main approaches used for developing summary measures that include mortality and morbidity occurring in a population. It discusses the rationale for composite measures and reviews the origins of each main approach. The paper also examines methodological differences among these approaches making explicit the value choices that each entails, outlines the advantages and limitations of each measure, and shows how they relate to one another. PAGEPress Publications 2012-12-28 /pmc/articles/PMC4140376/ /pubmed/25170468 http://dx.doi.org/10.4081/jphr.2012.e35 Text en ©Copyright A.A. Hyder et al., 2012 http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Reviews and Meta-Analysis
Hyder, Adnan A.
Puvanachandra, Prasanthi
Morrow, Richard H.
Measuring the Health of Populations: Explaining Composite Indicators
title Measuring the Health of Populations: Explaining Composite Indicators
title_full Measuring the Health of Populations: Explaining Composite Indicators
title_fullStr Measuring the Health of Populations: Explaining Composite Indicators
title_full_unstemmed Measuring the Health of Populations: Explaining Composite Indicators
title_short Measuring the Health of Populations: Explaining Composite Indicators
title_sort measuring the health of populations: explaining composite indicators
topic Reviews and Meta-Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4140376/
https://www.ncbi.nlm.nih.gov/pubmed/25170468
http://dx.doi.org/10.4081/jphr.2012.e35
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