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Tracking socio-economic inequalities in healthcare utilization in Iran: a repeated cross-sectional analysis
BACKGROUND: Although some healthcare reforms such as Health Transformation Plan (HTP) were implemented in Iran to provide required healthcare services, few studies have been conducted to track the impacts of these reforms on socio-economic inequality in healthcare utilization. This study aims to tra...
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/PMC7296685/ https://www.ncbi.nlm.nih.gov/pubmed/32539734 http://dx.doi.org/10.1186/s12889-020-09001-z |
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author | Vahedi, Sajad Yazdi-Feyzabadi, Vahid Amini-Rarani, Mostafa Mohammadbeigi, Abolfazl Khosravi, Ardeshir Rezapour, Aziz |
author_facet | Vahedi, Sajad Yazdi-Feyzabadi, Vahid Amini-Rarani, Mostafa Mohammadbeigi, Abolfazl Khosravi, Ardeshir Rezapour, Aziz |
author_sort | Vahedi, Sajad |
collection | PubMed |
description | BACKGROUND: Although some healthcare reforms such as Health Transformation Plan (HTP) were implemented in Iran to provide required healthcare services, few studies have been conducted to track the impacts of these reforms on socio-economic inequality in healthcare utilization. This study aims to track socio-economic inequalities in healthcare utilization and their changes between 2008 and 2016 in Iran. METHODS: Required data were obtained from two of Iran’s utilization of healthcare services survey conducted in 2008 and 2016. Erreygers concentration index (EI) was used to measure inequality in the utilization of outpatient and inpatient healthcare services (UOH and UIH). The decomposition of EI (DEI) was used to explain healthcare utilization inequality. Oaxaca decomposition (OD) was also employed to track the changes in EI in this period. RESULT: Inequality in UOH increased from 0.105 to 0.133 in the studied years, indicating the pro-rich distribution of UOH. Inequality in UIH decreased from 0.0558 to − 0.006. DEI showed that economic status was the main factor that contributed to inequality in the UOH and UIH. OD showed that residence in rural areas and supplementary insurance were the main contributing factors in the increased inequality of UOH. Moreover, OD also showed that economic status was the main contributing factor in the reduced inequality of UIH. CONCLUSION: While Iran still suffers from significant socio-economic inequalities in UOH, it seems that healthcare reforms, especially HTP, have reduced UIH inequality. Expanding healthcare reforms into the outpatient sector and also implementing effective health financing policies could be recommended as a remedy against UOH inequality. |
format | Online Article Text |
id | pubmed-7296685 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72966852020-06-16 Tracking socio-economic inequalities in healthcare utilization in Iran: a repeated cross-sectional analysis Vahedi, Sajad Yazdi-Feyzabadi, Vahid Amini-Rarani, Mostafa Mohammadbeigi, Abolfazl Khosravi, Ardeshir Rezapour, Aziz BMC Public Health Research Article BACKGROUND: Although some healthcare reforms such as Health Transformation Plan (HTP) were implemented in Iran to provide required healthcare services, few studies have been conducted to track the impacts of these reforms on socio-economic inequality in healthcare utilization. This study aims to track socio-economic inequalities in healthcare utilization and their changes between 2008 and 2016 in Iran. METHODS: Required data were obtained from two of Iran’s utilization of healthcare services survey conducted in 2008 and 2016. Erreygers concentration index (EI) was used to measure inequality in the utilization of outpatient and inpatient healthcare services (UOH and UIH). The decomposition of EI (DEI) was used to explain healthcare utilization inequality. Oaxaca decomposition (OD) was also employed to track the changes in EI in this period. RESULT: Inequality in UOH increased from 0.105 to 0.133 in the studied years, indicating the pro-rich distribution of UOH. Inequality in UIH decreased from 0.0558 to − 0.006. DEI showed that economic status was the main factor that contributed to inequality in the UOH and UIH. OD showed that residence in rural areas and supplementary insurance were the main contributing factors in the increased inequality of UOH. Moreover, OD also showed that economic status was the main contributing factor in the reduced inequality of UIH. CONCLUSION: While Iran still suffers from significant socio-economic inequalities in UOH, it seems that healthcare reforms, especially HTP, have reduced UIH inequality. Expanding healthcare reforms into the outpatient sector and also implementing effective health financing policies could be recommended as a remedy against UOH inequality. BioMed Central 2020-06-15 /pmc/articles/PMC7296685/ /pubmed/32539734 http://dx.doi.org/10.1186/s12889-020-09001-z 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 Vahedi, Sajad Yazdi-Feyzabadi, Vahid Amini-Rarani, Mostafa Mohammadbeigi, Abolfazl Khosravi, Ardeshir Rezapour, Aziz Tracking socio-economic inequalities in healthcare utilization in Iran: a repeated cross-sectional analysis |
title | Tracking socio-economic inequalities in healthcare utilization in Iran: a repeated cross-sectional analysis |
title_full | Tracking socio-economic inequalities in healthcare utilization in Iran: a repeated cross-sectional analysis |
title_fullStr | Tracking socio-economic inequalities in healthcare utilization in Iran: a repeated cross-sectional analysis |
title_full_unstemmed | Tracking socio-economic inequalities in healthcare utilization in Iran: a repeated cross-sectional analysis |
title_short | Tracking socio-economic inequalities in healthcare utilization in Iran: a repeated cross-sectional analysis |
title_sort | tracking socio-economic inequalities in healthcare utilization in iran: a repeated cross-sectional analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7296685/ https://www.ncbi.nlm.nih.gov/pubmed/32539734 http://dx.doi.org/10.1186/s12889-020-09001-z |
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