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Inequalities in healthcare resources and outcomes threatening sustainable health development in Ethiopia: panel data analysis

OBJECTIVE: To measure inequalities in the distributions of selected healthcare resources and outcomes in Ethiopia from 2000 to 2015. DESIGN: A panel data analysis was performed to measure inequalities in distribution of healthcare workforce, infrastructure, outcomes and finance, using secondary data...

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Autores principales: Woldemichael, Abraha, Takian, Amirhossein, Akbari Sari, Ali, Olyaeemanesh, Alireza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359736/
https://www.ncbi.nlm.nih.gov/pubmed/30705237
http://dx.doi.org/10.1136/bmjopen-2018-022923
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author Woldemichael, Abraha
Takian, Amirhossein
Akbari Sari, Ali
Olyaeemanesh, Alireza
author_facet Woldemichael, Abraha
Takian, Amirhossein
Akbari Sari, Ali
Olyaeemanesh, Alireza
author_sort Woldemichael, Abraha
collection PubMed
description OBJECTIVE: To measure inequalities in the distributions of selected healthcare resources and outcomes in Ethiopia from 2000 to 2015. DESIGN: A panel data analysis was performed to measure inequalities in distribution of healthcare workforce, infrastructure, outcomes and finance, using secondary data. SETTING: The study was conducted across 11 regions in Ethiopia. PARTICIPANTS: Regional population and selected healthcare workforce. OUTCOMES MEASURED: Aggregate Theil and Gini indices, changes in inequalities and elasticity of healthcare resources. RESULTS: Despite marked inequality reductions over a 16 year period, the Theil and Gini indices for the healthcare resources distributions remained high. Among the healthcare workforce distributions, the Gini index (GI) was lowest for nurses plus midwives (GI=0.428, 95% CI 0.393 to 0.463) and highest for specialist doctors (SPDs) (GI=0.704, 95% CI 0.652 to 0.756). Inter-region inequality was the highest for SPDs (95.0%) and the lowest for health officers (53.8%). The GIs for hospital beds, hospitals and health centres (HCs) were 0.592(95% CI 0.563 to 0.621), 0.460(95% CI 0.404 to 0.517) and 0.409(95% CI 0.380 to 0.439), respectively. The interaction term was highest for HC distributions (47.7%). Outpatient department visit per capita (GI=0.349, 95% CI 0.321 to 0.377) and fully immunised children (GI=0.307, 95% CI 0.269 to 0.345) showed inequalities; inequality in the under 5 years of age mortality rate increased overtime (P=0.048). Overall, GI for government health expenditure (GHE) was 0.596(95% CI 0.544 to 0.648), and the estimated relative GHE share of the healthcare workforce and infrastructure distributions were 46.5% and 53.5%, respectively. The marginal changes in the healthcare resources distributions were towards the advantaged populations. CONCLUSION: This study revealed high inequalities in healthcare resources in favour of the advantaged populations which can hinder equal access to healthcare and the achievements of healthcare outcomes. The government should strengthen monitoring mechanisms to address inequalities based on the national healthcare standards.
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spelling pubmed-63597362019-02-25 Inequalities in healthcare resources and outcomes threatening sustainable health development in Ethiopia: panel data analysis Woldemichael, Abraha Takian, Amirhossein Akbari Sari, Ali Olyaeemanesh, Alireza BMJ Open Health Policy OBJECTIVE: To measure inequalities in the distributions of selected healthcare resources and outcomes in Ethiopia from 2000 to 2015. DESIGN: A panel data analysis was performed to measure inequalities in distribution of healthcare workforce, infrastructure, outcomes and finance, using secondary data. SETTING: The study was conducted across 11 regions in Ethiopia. PARTICIPANTS: Regional population and selected healthcare workforce. OUTCOMES MEASURED: Aggregate Theil and Gini indices, changes in inequalities and elasticity of healthcare resources. RESULTS: Despite marked inequality reductions over a 16 year period, the Theil and Gini indices for the healthcare resources distributions remained high. Among the healthcare workforce distributions, the Gini index (GI) was lowest for nurses plus midwives (GI=0.428, 95% CI 0.393 to 0.463) and highest for specialist doctors (SPDs) (GI=0.704, 95% CI 0.652 to 0.756). Inter-region inequality was the highest for SPDs (95.0%) and the lowest for health officers (53.8%). The GIs for hospital beds, hospitals and health centres (HCs) were 0.592(95% CI 0.563 to 0.621), 0.460(95% CI 0.404 to 0.517) and 0.409(95% CI 0.380 to 0.439), respectively. The interaction term was highest for HC distributions (47.7%). Outpatient department visit per capita (GI=0.349, 95% CI 0.321 to 0.377) and fully immunised children (GI=0.307, 95% CI 0.269 to 0.345) showed inequalities; inequality in the under 5 years of age mortality rate increased overtime (P=0.048). Overall, GI for government health expenditure (GHE) was 0.596(95% CI 0.544 to 0.648), and the estimated relative GHE share of the healthcare workforce and infrastructure distributions were 46.5% and 53.5%, respectively. The marginal changes in the healthcare resources distributions were towards the advantaged populations. CONCLUSION: This study revealed high inequalities in healthcare resources in favour of the advantaged populations which can hinder equal access to healthcare and the achievements of healthcare outcomes. The government should strengthen monitoring mechanisms to address inequalities based on the national healthcare standards. BMJ Publishing Group 2019-01-30 /pmc/articles/PMC6359736/ /pubmed/30705237 http://dx.doi.org/10.1136/bmjopen-2018-022923 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Health Policy
Woldemichael, Abraha
Takian, Amirhossein
Akbari Sari, Ali
Olyaeemanesh, Alireza
Inequalities in healthcare resources and outcomes threatening sustainable health development in Ethiopia: panel data analysis
title Inequalities in healthcare resources and outcomes threatening sustainable health development in Ethiopia: panel data analysis
title_full Inequalities in healthcare resources and outcomes threatening sustainable health development in Ethiopia: panel data analysis
title_fullStr Inequalities in healthcare resources and outcomes threatening sustainable health development in Ethiopia: panel data analysis
title_full_unstemmed Inequalities in healthcare resources and outcomes threatening sustainable health development in Ethiopia: panel data analysis
title_short Inequalities in healthcare resources and outcomes threatening sustainable health development in Ethiopia: panel data analysis
title_sort inequalities in healthcare resources and outcomes threatening sustainable health development in ethiopia: panel data analysis
topic Health Policy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359736/
https://www.ncbi.nlm.nih.gov/pubmed/30705237
http://dx.doi.org/10.1136/bmjopen-2018-022923
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