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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...

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Autores principales: Bala, Muhammad Muazu, Singh, Shailender, Gautam, Dhruba Kumar
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
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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.
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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
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