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Efficiency of primary care in rural Burkina Faso. A two-stage DEA analysis
BACKGROUND: Providing health care services in Africa is hampered by severe scarcity of personnel, medical supplies and financial funds. Consequently, managers of health care institutions are called to measure and improve the efficiency of their facilities in order to provide the best possible servic...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer
2011
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3395044/ https://www.ncbi.nlm.nih.gov/pubmed/22828358 http://dx.doi.org/10.1186/2191-1991-1-5 |
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author | Marschall, Paul Flessa, Steffen |
author_facet | Marschall, Paul Flessa, Steffen |
author_sort | Marschall, Paul |
collection | PubMed |
description | BACKGROUND: Providing health care services in Africa is hampered by severe scarcity of personnel, medical supplies and financial funds. Consequently, managers of health care institutions are called to measure and improve the efficiency of their facilities in order to provide the best possible services with their resources. However, very little is known about the efficiency of health care facilities in Africa and instruments of performance measurement are hardly applied in this context. OBJECTIVE: This study determines the relative efficiency of primary care facilities in Nouna, a rural health district in Burkina Faso. Furthermore, it analyses the factors influencing the efficiency of these institutions. METHODOLOGY: We apply a two-stage Data Envelopment Analysis (DEA) based on data from a comprehensive provider and household information system. In the first stage, the relative efficiency of each institution is calculated by a traditional DEA model. In the second stage, we identify the reasons for being inefficient by regression technique. RESULTS: The DEA projections suggest that inefficiency is mainly a result of poor utilization of health care facilities as they were either too big or the demand was too low. Regression results showed that distance is an important factor influencing the efficiency of a health care institution CONCLUSIONS: Compared to the findings of existing one-stage DEA analyses of health facilities in Africa, the share of relatively efficient units is slightly higher. The difference might be explained by a rather homogenous structure of the primary care facilities in the Burkina Faso sample. The study also indicates that improving the accessibility of primary care facilities will have a major impact on the efficiency of these institutions. Thus, health decision-makers are called to overcome the demand-side barriers in accessing health care. |
format | Online Article Text |
id | pubmed-3395044 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Springer |
record_format | MEDLINE/PubMed |
spelling | pubmed-33950442012-07-16 Efficiency of primary care in rural Burkina Faso. A two-stage DEA analysis Marschall, Paul Flessa, Steffen Health Econ Rev Research BACKGROUND: Providing health care services in Africa is hampered by severe scarcity of personnel, medical supplies and financial funds. Consequently, managers of health care institutions are called to measure and improve the efficiency of their facilities in order to provide the best possible services with their resources. However, very little is known about the efficiency of health care facilities in Africa and instruments of performance measurement are hardly applied in this context. OBJECTIVE: This study determines the relative efficiency of primary care facilities in Nouna, a rural health district in Burkina Faso. Furthermore, it analyses the factors influencing the efficiency of these institutions. METHODOLOGY: We apply a two-stage Data Envelopment Analysis (DEA) based on data from a comprehensive provider and household information system. In the first stage, the relative efficiency of each institution is calculated by a traditional DEA model. In the second stage, we identify the reasons for being inefficient by regression technique. RESULTS: The DEA projections suggest that inefficiency is mainly a result of poor utilization of health care facilities as they were either too big or the demand was too low. Regression results showed that distance is an important factor influencing the efficiency of a health care institution CONCLUSIONS: Compared to the findings of existing one-stage DEA analyses of health facilities in Africa, the share of relatively efficient units is slightly higher. The difference might be explained by a rather homogenous structure of the primary care facilities in the Burkina Faso sample. The study also indicates that improving the accessibility of primary care facilities will have a major impact on the efficiency of these institutions. Thus, health decision-makers are called to overcome the demand-side barriers in accessing health care. Springer 2011-07-20 /pmc/articles/PMC3395044/ /pubmed/22828358 http://dx.doi.org/10.1186/2191-1991-1-5 Text en Copyright ©2011 Marschall and Flessa; licensee Springer http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Marschall, Paul Flessa, Steffen Efficiency of primary care in rural Burkina Faso. A two-stage DEA analysis |
title | Efficiency of primary care in rural Burkina Faso. A two-stage DEA analysis |
title_full | Efficiency of primary care in rural Burkina Faso. A two-stage DEA analysis |
title_fullStr | Efficiency of primary care in rural Burkina Faso. A two-stage DEA analysis |
title_full_unstemmed | Efficiency of primary care in rural Burkina Faso. A two-stage DEA analysis |
title_short | Efficiency of primary care in rural Burkina Faso. A two-stage DEA analysis |
title_sort | efficiency of primary care in rural burkina faso. a two-stage dea analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3395044/ https://www.ncbi.nlm.nih.gov/pubmed/22828358 http://dx.doi.org/10.1186/2191-1991-1-5 |
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