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Willingness to Pay for Social Health Insurance and Its Predictors among Government Employees in Mujja Town, Ethiopia

BACKGROUND: Social health insurance is one of the possible organizational mechanisms for raising and pooling funds to finance health services, private health insurance, community insurance, and others. OBJECTIVE: The study was aimed to assess willingness to pay for social health insurance and associ...

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Autores principales: Mekonnen Degie, Feleku, Agumas Ambelie, Yeshambel, Mulu Gelaw, Yared, Fentaw Mulaw, Getahun, Wassie Feleke, Fentaw
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7952192/
https://www.ncbi.nlm.nih.gov/pubmed/33746632
http://dx.doi.org/10.1155/2021/3149289
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author Mekonnen Degie, Feleku
Agumas Ambelie, Yeshambel
Mulu Gelaw, Yared
Fentaw Mulaw, Getahun
Wassie Feleke, Fentaw
author_facet Mekonnen Degie, Feleku
Agumas Ambelie, Yeshambel
Mulu Gelaw, Yared
Fentaw Mulaw, Getahun
Wassie Feleke, Fentaw
author_sort Mekonnen Degie, Feleku
collection PubMed
description BACKGROUND: Social health insurance is one of the possible organizational mechanisms for raising and pooling funds to finance health services, private health insurance, community insurance, and others. OBJECTIVE: The study was aimed to assess willingness to pay for social health insurance and associated factors among government employees in Mujja town, Ethiopia. METHODS: An institutional-based cross-sectional study was conducted on the total sample size of 375 study respondents. A simple random sampling technique was employed. Data were entered into EPI info 7 and analyzed by Statistical Package for Social Sciences version 22.0. Multivariable logistic regression was used to identify independent predictors by controlling confounding variables. Statistical significance was declared at p < 0.05. RESULTS: This study revealed that 37.6% (95% CI: 33.1%, 42.61%) respondents were willing to pay for social health insurance. In the final model, respondents who ever heard about health insurance schemes were seven times (AOR = 7.205; 95% CI: 1.385, 37.475) more likely willing to pay for social health insurance. Thos who had history of difficulty and having other source to cover medical bills were 92.6% (AOR = 0.074; 95% CI: 0.009, 0.612) and 94.6% (AOR = 0.054; 95% CI: 0.011, 0.257) less likely to pay, respectively. CONCLUSIONS: Willingness to pay for social health insurance was low. Being heard about health insurance, history of difficulty, and having other sources to cover medical bills were associated factors. Thus, it is recommended that media promotion and these factors should be considered for the successful implementation of the scheme.
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spelling pubmed-79521922021-03-19 Willingness to Pay for Social Health Insurance and Its Predictors among Government Employees in Mujja Town, Ethiopia Mekonnen Degie, Feleku Agumas Ambelie, Yeshambel Mulu Gelaw, Yared Fentaw Mulaw, Getahun Wassie Feleke, Fentaw ScientificWorldJournal Research Article BACKGROUND: Social health insurance is one of the possible organizational mechanisms for raising and pooling funds to finance health services, private health insurance, community insurance, and others. OBJECTIVE: The study was aimed to assess willingness to pay for social health insurance and associated factors among government employees in Mujja town, Ethiopia. METHODS: An institutional-based cross-sectional study was conducted on the total sample size of 375 study respondents. A simple random sampling technique was employed. Data were entered into EPI info 7 and analyzed by Statistical Package for Social Sciences version 22.0. Multivariable logistic regression was used to identify independent predictors by controlling confounding variables. Statistical significance was declared at p < 0.05. RESULTS: This study revealed that 37.6% (95% CI: 33.1%, 42.61%) respondents were willing to pay for social health insurance. In the final model, respondents who ever heard about health insurance schemes were seven times (AOR = 7.205; 95% CI: 1.385, 37.475) more likely willing to pay for social health insurance. Thos who had history of difficulty and having other source to cover medical bills were 92.6% (AOR = 0.074; 95% CI: 0.009, 0.612) and 94.6% (AOR = 0.054; 95% CI: 0.011, 0.257) less likely to pay, respectively. CONCLUSIONS: Willingness to pay for social health insurance was low. Being heard about health insurance, history of difficulty, and having other sources to cover medical bills were associated factors. Thus, it is recommended that media promotion and these factors should be considered for the successful implementation of the scheme. Hindawi 2021-03-04 /pmc/articles/PMC7952192/ /pubmed/33746632 http://dx.doi.org/10.1155/2021/3149289 Text en Copyright © 2021 Feleku Mekonnen Degie et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Mekonnen Degie, Feleku
Agumas Ambelie, Yeshambel
Mulu Gelaw, Yared
Fentaw Mulaw, Getahun
Wassie Feleke, Fentaw
Willingness to Pay for Social Health Insurance and Its Predictors among Government Employees in Mujja Town, Ethiopia
title Willingness to Pay for Social Health Insurance and Its Predictors among Government Employees in Mujja Town, Ethiopia
title_full Willingness to Pay for Social Health Insurance and Its Predictors among Government Employees in Mujja Town, Ethiopia
title_fullStr Willingness to Pay for Social Health Insurance and Its Predictors among Government Employees in Mujja Town, Ethiopia
title_full_unstemmed Willingness to Pay for Social Health Insurance and Its Predictors among Government Employees in Mujja Town, Ethiopia
title_short Willingness to Pay for Social Health Insurance and Its Predictors among Government Employees in Mujja Town, Ethiopia
title_sort willingness to pay for social health insurance and its predictors among government employees in mujja town, ethiopia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7952192/
https://www.ncbi.nlm.nih.gov/pubmed/33746632
http://dx.doi.org/10.1155/2021/3149289
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