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Inequalities in health and health-related indicators: a spatial geographic analysis of Pakistan

BACKGROUND: In developing countries, Pakistan is one of the countries where access to health and health-related indicators is a major concern. Their improvement would reduce inequalities among various Communities/Districts or groups of Communities. A Community health index (CHI) in this regard is es...

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Autores principales: Khan, Sami Ullah, Hussain, Ijaz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690118/
https://www.ncbi.nlm.nih.gov/pubmed/33243192
http://dx.doi.org/10.1186/s12889-020-09870-4
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author Khan, Sami Ullah
Hussain, Ijaz
author_facet Khan, Sami Ullah
Hussain, Ijaz
author_sort Khan, Sami Ullah
collection PubMed
description BACKGROUND: In developing countries, Pakistan is one of the countries where access to health and health-related indicators is a major concern. Their improvement would reduce inequalities among various Communities/Districts or groups of Communities. A Community health index (CHI) in this regard is estimated to explore inequality ratio, inequality slope, and spatial analysis of inequalities among all Communities at regional and geographical levels. METHODS: Data from Pakistan Social and Living Standard Measurement (PSLM) survey, Round-VI, 2014–15 were used to construct CHI. The index was constructed in two steps. In the first step, the study indicators were standardized while in the second step, the standardized indicators were aggregated into a single metric by applying non-linear Geometric Mean formula. RESULTS: The inequality ratio of 16.59 estimated for Pakistan was found to be higher than the ratio of Atlanta city, GA (5.92), whereas, a lower slope coefficient was estimated for Pakistan than Atlanta city, GA (0.38 < 0.54). This ratio of disparity was also found to be lower for urban regions as compared to rural (7.78 < 17.54). While the slope coefficient was slightly higher for urban regions (0.45 > 0.43). The results of the spatial analysis revealed different patterns of inequalities. A cluster of healthy districts was found in Punjab province, whereas districts from Baluchistan had made a bunch of deprived/unhealthy districts in terms of CHI scores. Besides, separate maps for all provinces showed that capital districts of all provinces were relatively well-off/developed. CONCLUSION: The instant results concluded that inequalities in access to health and health-related indicators exist across countries as well as across geographical regions. To reduce or eradicate these inequalities, government and public health workers are recommended to set priorities based on access to composite index. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-020-09870-4.
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spelling pubmed-76901182020-11-30 Inequalities in health and health-related indicators: a spatial geographic analysis of Pakistan Khan, Sami Ullah Hussain, Ijaz BMC Public Health Research Article BACKGROUND: In developing countries, Pakistan is one of the countries where access to health and health-related indicators is a major concern. Their improvement would reduce inequalities among various Communities/Districts or groups of Communities. A Community health index (CHI) in this regard is estimated to explore inequality ratio, inequality slope, and spatial analysis of inequalities among all Communities at regional and geographical levels. METHODS: Data from Pakistan Social and Living Standard Measurement (PSLM) survey, Round-VI, 2014–15 were used to construct CHI. The index was constructed in two steps. In the first step, the study indicators were standardized while in the second step, the standardized indicators were aggregated into a single metric by applying non-linear Geometric Mean formula. RESULTS: The inequality ratio of 16.59 estimated for Pakistan was found to be higher than the ratio of Atlanta city, GA (5.92), whereas, a lower slope coefficient was estimated for Pakistan than Atlanta city, GA (0.38 < 0.54). This ratio of disparity was also found to be lower for urban regions as compared to rural (7.78 < 17.54). While the slope coefficient was slightly higher for urban regions (0.45 > 0.43). The results of the spatial analysis revealed different patterns of inequalities. A cluster of healthy districts was found in Punjab province, whereas districts from Baluchistan had made a bunch of deprived/unhealthy districts in terms of CHI scores. Besides, separate maps for all provinces showed that capital districts of all provinces were relatively well-off/developed. CONCLUSION: The instant results concluded that inequalities in access to health and health-related indicators exist across countries as well as across geographical regions. To reduce or eradicate these inequalities, government and public health workers are recommended to set priorities based on access to composite index. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-020-09870-4. BioMed Central 2020-11-26 /pmc/articles/PMC7690118/ /pubmed/33243192 http://dx.doi.org/10.1186/s12889-020-09870-4 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 Research Article
Khan, Sami Ullah
Hussain, Ijaz
Inequalities in health and health-related indicators: a spatial geographic analysis of Pakistan
title Inequalities in health and health-related indicators: a spatial geographic analysis of Pakistan
title_full Inequalities in health and health-related indicators: a spatial geographic analysis of Pakistan
title_fullStr Inequalities in health and health-related indicators: a spatial geographic analysis of Pakistan
title_full_unstemmed Inequalities in health and health-related indicators: a spatial geographic analysis of Pakistan
title_short Inequalities in health and health-related indicators: a spatial geographic analysis of Pakistan
title_sort inequalities in health and health-related indicators: a spatial geographic analysis of pakistan
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690118/
https://www.ncbi.nlm.nih.gov/pubmed/33243192
http://dx.doi.org/10.1186/s12889-020-09870-4
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