Cargando…
Stochastic frontier approach to efficiency analysis of health facilities in providing services for non-communicable diseases in eight LMICs
BACKGROUND: The rising burden of non-communicable diseases presents an increasing public health challenge to many low- and middle-income countries. This problem may be compounded in health systems with lower levels of technical efficiency (TE). METHODS: This study used recent Service Provision Asses...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472875/ https://www.ncbi.nlm.nih.gov/pubmed/36515155 http://dx.doi.org/10.1093/inthealth/ihac080 |
_version_ | 1785100162699362304 |
---|---|
author | Bala, Muhammad Muazu Singh, Shailender Gautam, Dhruba Kumar |
author_facet | Bala, Muhammad Muazu Singh, Shailender Gautam, Dhruba Kumar |
author_sort | Bala, Muhammad Muazu |
collection | PubMed |
description | BACKGROUND: The rising burden of non-communicable diseases presents an increasing public health challenge to many low- and middle-income countries. This problem may be compounded in health systems with lower levels of technical efficiency (TE). METHODS: This study used recent Service Provision Assessments data to estimate the level of TEs of health facilities in eight countries. Initially, the general and disease-specific service readiness indexes are estimated. Finally, the production function is estimated using the exposures and the outcomes of the model. RESULTS: Evidence shows that the general and disease-specific service readiness indexes are significantly associated with an increase in the number of outpatient visits. Outpatient visits may increase by 14% with an increase in health worker density. Similarly, outpatient visits may increase by 0.3% with a unit increase in the general and diabetes service readiness indexes. Furthermore, outpatient visits may increase by 0.4% and 0.8% with an increase in services readiness for cardiovascular and respiratory diseases. respectively. Overall, the level of TE score suggests the need for improvement. CONCLUSIONS: Facility-level service readiness for chronic diseases is quite low. Therefore, improving health outcomes related to chronic diseases requires urgent investment in high-quality health systems in these countries. |
format | Online Article Text |
id | pubmed-10472875 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-104728752023-09-02 Stochastic frontier approach to efficiency analysis of health facilities in providing services for non-communicable diseases in eight LMICs Bala, Muhammad Muazu Singh, Shailender Gautam, Dhruba Kumar Int Health Original Article BACKGROUND: The rising burden of non-communicable diseases presents an increasing public health challenge to many low- and middle-income countries. This problem may be compounded in health systems with lower levels of technical efficiency (TE). METHODS: This study used recent Service Provision Assessments data to estimate the level of TEs of health facilities in eight countries. Initially, the general and disease-specific service readiness indexes are estimated. Finally, the production function is estimated using the exposures and the outcomes of the model. RESULTS: Evidence shows that the general and disease-specific service readiness indexes are significantly associated with an increase in the number of outpatient visits. Outpatient visits may increase by 14% with an increase in health worker density. Similarly, outpatient visits may increase by 0.3% with a unit increase in the general and diabetes service readiness indexes. Furthermore, outpatient visits may increase by 0.4% and 0.8% with an increase in services readiness for cardiovascular and respiratory diseases. respectively. Overall, the level of TE score suggests the need for improvement. CONCLUSIONS: Facility-level service readiness for chronic diseases is quite low. Therefore, improving health outcomes related to chronic diseases requires urgent investment in high-quality health systems in these countries. Oxford University Press 2022-12-14 /pmc/articles/PMC10472875/ /pubmed/36515155 http://dx.doi.org/10.1093/inthealth/ihac080 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Article Bala, Muhammad Muazu Singh, Shailender Gautam, Dhruba Kumar Stochastic frontier approach to efficiency analysis of health facilities in providing services for non-communicable diseases in eight LMICs |
title | Stochastic frontier approach to efficiency analysis of health facilities in providing services for non-communicable diseases in eight LMICs |
title_full | Stochastic frontier approach to efficiency analysis of health facilities in providing services for non-communicable diseases in eight LMICs |
title_fullStr | Stochastic frontier approach to efficiency analysis of health facilities in providing services for non-communicable diseases in eight LMICs |
title_full_unstemmed | Stochastic frontier approach to efficiency analysis of health facilities in providing services for non-communicable diseases in eight LMICs |
title_short | Stochastic frontier approach to efficiency analysis of health facilities in providing services for non-communicable diseases in eight LMICs |
title_sort | stochastic frontier approach to efficiency analysis of health facilities in providing services for non-communicable diseases in eight lmics |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472875/ https://www.ncbi.nlm.nih.gov/pubmed/36515155 http://dx.doi.org/10.1093/inthealth/ihac080 |
work_keys_str_mv | AT balamuhammadmuazu stochasticfrontierapproachtoefficiencyanalysisofhealthfacilitiesinprovidingservicesfornoncommunicablediseasesineightlmics AT singhshailender stochasticfrontierapproachtoefficiencyanalysisofhealthfacilitiesinprovidingservicesfornoncommunicablediseasesineightlmics AT gautamdhrubakumar stochasticfrontierapproachtoefficiencyanalysisofhealthfacilitiesinprovidingservicesfornoncommunicablediseasesineightlmics |