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Measuring the resilience of health systems in low- and middle-income countries: a focus on community resilience
The concept of community resilience has gained considerable attention in the global health discussions since the Ebola outbreak of West Africa in 2014–2015. However, there are no measurement models to quantify community resilience. Without measurement models, it is unclear how to test strategies for...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368738/ https://www.ncbi.nlm.nih.gov/pubmed/32680527 http://dx.doi.org/10.1186/s12961-020-00594-w |
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author | Bhandari, Sudip Alonge, Olakunle |
author_facet | Bhandari, Sudip Alonge, Olakunle |
author_sort | Bhandari, Sudip |
collection | PubMed |
description | The concept of community resilience has gained considerable attention in the global health discussions since the Ebola outbreak of West Africa in 2014–2015. However, there are no measurement models to quantify community resilience. Without measurement models, it is unclear how to test strategies for building community resilience or to describe their likely intended and unintended results and their impact on health outcomes. We propose a measurement model for community resilience with relevant constructs and indicators to measure these constructs. We conducted a scoping review, systematically searching, screening and selecting relevant articles from two bibliographic databases (PUBMED and Google Scholar) for literature using search terms such as “resilience”, “community resilience” and “health systems resilience”. We screened 500 papers, then completed a full text review of 112 identified as relevant based on their title and abstract. A total of 27 papers and reports were retained for analysis. We then aggregated and synthesised the various definitions of community resilience and the frameworks for understanding these definitions. We identified key constructs from these frameworks and organised these constructs into domains and sub-domains. We proposed indicators to capture aspects of these domains and sub-domains and operationalised these indicators as a measurement model for quantifying community resilience in health systems. We propose a model with 20 indicators to assess community resilience. These indicators tap into various constructs from different theoretical frameworks of community resilience and are useful for assessing the level of knowledge, financial resources, and human, social and physical capital that are needed (or lacking) to respond to any types of shock, including health shock at the community level. This is an initial attempt to describe a multilevel measurement model for quantifying community resilience. This model will help to guide the development and testing of strategies for strengthening community resilience and will require further work to assess its relevance, reliability and validity in different LMIC settings. |
format | Online Article Text |
id | pubmed-7368738 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73687382020-07-20 Measuring the resilience of health systems in low- and middle-income countries: a focus on community resilience Bhandari, Sudip Alonge, Olakunle Health Res Policy Syst Review The concept of community resilience has gained considerable attention in the global health discussions since the Ebola outbreak of West Africa in 2014–2015. However, there are no measurement models to quantify community resilience. Without measurement models, it is unclear how to test strategies for building community resilience or to describe their likely intended and unintended results and their impact on health outcomes. We propose a measurement model for community resilience with relevant constructs and indicators to measure these constructs. We conducted a scoping review, systematically searching, screening and selecting relevant articles from two bibliographic databases (PUBMED and Google Scholar) for literature using search terms such as “resilience”, “community resilience” and “health systems resilience”. We screened 500 papers, then completed a full text review of 112 identified as relevant based on their title and abstract. A total of 27 papers and reports were retained for analysis. We then aggregated and synthesised the various definitions of community resilience and the frameworks for understanding these definitions. We identified key constructs from these frameworks and organised these constructs into domains and sub-domains. We proposed indicators to capture aspects of these domains and sub-domains and operationalised these indicators as a measurement model for quantifying community resilience in health systems. We propose a model with 20 indicators to assess community resilience. These indicators tap into various constructs from different theoretical frameworks of community resilience and are useful for assessing the level of knowledge, financial resources, and human, social and physical capital that are needed (or lacking) to respond to any types of shock, including health shock at the community level. This is an initial attempt to describe a multilevel measurement model for quantifying community resilience. This model will help to guide the development and testing of strategies for strengthening community resilience and will require further work to assess its relevance, reliability and validity in different LMIC settings. BioMed Central 2020-07-17 /pmc/articles/PMC7368738/ /pubmed/32680527 http://dx.doi.org/10.1186/s12961-020-00594-w Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Bhandari, Sudip Alonge, Olakunle Measuring the resilience of health systems in low- and middle-income countries: a focus on community resilience |
title | Measuring the resilience of health systems in low- and middle-income countries: a focus on community resilience |
title_full | Measuring the resilience of health systems in low- and middle-income countries: a focus on community resilience |
title_fullStr | Measuring the resilience of health systems in low- and middle-income countries: a focus on community resilience |
title_full_unstemmed | Measuring the resilience of health systems in low- and middle-income countries: a focus on community resilience |
title_short | Measuring the resilience of health systems in low- and middle-income countries: a focus on community resilience |
title_sort | measuring the resilience of health systems in low- and middle-income countries: a focus on community resilience |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368738/ https://www.ncbi.nlm.nih.gov/pubmed/32680527 http://dx.doi.org/10.1186/s12961-020-00594-w |
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