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Efficiency analysis of primary healthcare facilities in Afghanistan
BACKGROUND: Afghanistan’s health system is unique in that primary healthcare is delivered by non-governmental organizations funded by multilateral or bilateral donors, not the government. Given the wide range of implementers providing the basic package of health services, there may be performance di...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166646/ https://www.ncbi.nlm.nih.gov/pubmed/35659679 http://dx.doi.org/10.1186/s12962-022-00357-0 |
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author | Farewar, Farhad Saeed, Khwaja Mir Ahad Foshanji, Abo Ismael Alawi, Said Mohammad Karim Zawoli, Mohammad Yonus Irit, Sinai Zeng, Wu |
author_facet | Farewar, Farhad Saeed, Khwaja Mir Ahad Foshanji, Abo Ismael Alawi, Said Mohammad Karim Zawoli, Mohammad Yonus Irit, Sinai Zeng, Wu |
author_sort | Farewar, Farhad |
collection | PubMed |
description | BACKGROUND: Afghanistan’s health system is unique in that primary healthcare is delivered by non-governmental organizations funded by multilateral or bilateral donors, not the government. Given the wide range of implementers providing the basic package of health services, there may be performance differences in service delivery. This study assessed the relative technical efficiency of different levels of primary healthcare services and explored its determinants. METHOD: Data envelopment analysis was used to assess the relative technical efficiency of three levels of primary healthcare facilities (comprehensive, basic, and sub-health centers). The inputs included personnel and capital expenditure, while the outputs were measured by the number of facility visits. Data on inputs and outputs were obtained from national health information databases for 1263 healthcare facilities in 31 provinces. Bivariate analysis was conducted to assess the correlation of various elements with efficiency scores. Regression models were used to identify potential factors associated with efficiency scores at the health facility level. RESULTS: The average efficiency score of health facilities was 0.74 when pooling all 1,263 health facilities, with 102 health facilities (8.1%) having efficiency scores of 1 (100% efficient). The lowest quintile of health facilities had an average efficiency score of 0.36, while the highest quintile had a score of 0.96. On average, efficiency scores of comprehensive health centers were higher than basic and sub-health centers by 0.11 and .07, respectively. In addition, the difference between efficiency scores of facilities in the highest and lowest quintiles was highest in facilities that offer fewer services. Thus, they have the largest room for improvement. CONCLUSIONS: Our findings show that public health facilities in Afghanistan that provide more comprehensive primary health services use their resources more efficiently and that smaller facilities have more room for improvement. A more integrated delivery model would help improve the efficiency of providing primary healthcare in Afghanistan. |
format | Online Article Text |
id | pubmed-9166646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91666462022-06-05 Efficiency analysis of primary healthcare facilities in Afghanistan Farewar, Farhad Saeed, Khwaja Mir Ahad Foshanji, Abo Ismael Alawi, Said Mohammad Karim Zawoli, Mohammad Yonus Irit, Sinai Zeng, Wu Cost Eff Resour Alloc Research BACKGROUND: Afghanistan’s health system is unique in that primary healthcare is delivered by non-governmental organizations funded by multilateral or bilateral donors, not the government. Given the wide range of implementers providing the basic package of health services, there may be performance differences in service delivery. This study assessed the relative technical efficiency of different levels of primary healthcare services and explored its determinants. METHOD: Data envelopment analysis was used to assess the relative technical efficiency of three levels of primary healthcare facilities (comprehensive, basic, and sub-health centers). The inputs included personnel and capital expenditure, while the outputs were measured by the number of facility visits. Data on inputs and outputs were obtained from national health information databases for 1263 healthcare facilities in 31 provinces. Bivariate analysis was conducted to assess the correlation of various elements with efficiency scores. Regression models were used to identify potential factors associated with efficiency scores at the health facility level. RESULTS: The average efficiency score of health facilities was 0.74 when pooling all 1,263 health facilities, with 102 health facilities (8.1%) having efficiency scores of 1 (100% efficient). The lowest quintile of health facilities had an average efficiency score of 0.36, while the highest quintile had a score of 0.96. On average, efficiency scores of comprehensive health centers were higher than basic and sub-health centers by 0.11 and .07, respectively. In addition, the difference between efficiency scores of facilities in the highest and lowest quintiles was highest in facilities that offer fewer services. Thus, they have the largest room for improvement. CONCLUSIONS: Our findings show that public health facilities in Afghanistan that provide more comprehensive primary health services use their resources more efficiently and that smaller facilities have more room for improvement. A more integrated delivery model would help improve the efficiency of providing primary healthcare in Afghanistan. BioMed Central 2022-06-03 /pmc/articles/PMC9166646/ /pubmed/35659679 http://dx.doi.org/10.1186/s12962-022-00357-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Farewar, Farhad Saeed, Khwaja Mir Ahad Foshanji, Abo Ismael Alawi, Said Mohammad Karim Zawoli, Mohammad Yonus Irit, Sinai Zeng, Wu Efficiency analysis of primary healthcare facilities in Afghanistan |
title | Efficiency analysis of primary healthcare facilities in Afghanistan |
title_full | Efficiency analysis of primary healthcare facilities in Afghanistan |
title_fullStr | Efficiency analysis of primary healthcare facilities in Afghanistan |
title_full_unstemmed | Efficiency analysis of primary healthcare facilities in Afghanistan |
title_short | Efficiency analysis of primary healthcare facilities in Afghanistan |
title_sort | efficiency analysis of primary healthcare facilities in afghanistan |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166646/ https://www.ncbi.nlm.nih.gov/pubmed/35659679 http://dx.doi.org/10.1186/s12962-022-00357-0 |
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