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Factors Associated with National Health Insurance Coverage in Indonesia
Background: The National Health Insurance (NHI) program is the Indonesian government's national health program. However, health insurance coverage has not been maximized. This study aims to analyze the factors associated with health insurance coverage in Indonesia. Methods: Retrospective cros...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9532955/ https://www.ncbi.nlm.nih.gov/pubmed/36225240 http://dx.doi.org/10.12688/f1000research.53672.2 |
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author | Sukartini, Tintin Arifin, Hidayat Kurniawati, Yulia Pradipta, Rifky Octavia Nursalam, Nursalam Acob, Joel Rey Ugsang |
author_facet | Sukartini, Tintin Arifin, Hidayat Kurniawati, Yulia Pradipta, Rifky Octavia Nursalam, Nursalam Acob, Joel Rey Ugsang |
author_sort | Sukartini, Tintin |
collection | PubMed |
description | Background: The National Health Insurance (NHI) program is the Indonesian government's national health program. However, health insurance coverage has not been maximized. This study aims to analyze the factors associated with health insurance coverage in Indonesia. Methods: Retrospective cross-sectional data were obtained from the Indonesian Demographic and Health Survey 2017. A total of 39,580 respondents were selected using two-stage stratified cluster sampling. The data come from the DHS Questionnaire Phase 7. In this study, we explored age, education level, wealth quintiles, residence, the number of children who are alive, marital status, current employment status, earnings, and health insurance status in relation to health insurance coverage. Then, we analyzed the data using chi-squared and binary logistic analyses. Results: The prevalence of health insurance coverage in the Indonesian population is 62.3%. Respondent aged 15-24 years [AOR=0.88; 95% CI=0.77-1.00], secondary education level [AOR=0.44; 95% CI=0.41-0.47], poorer wealth index [AOR=0.76; 95% CI=0.71-0.82], live in rural area [AOR=0.78; 95% CI=0.75-0.82], divorced [AOR=0.72; 95% CI=0.63-0.83] were less likelihood to have health insurance. Conversely, the respondent who received earnings [AOR=1.25; 95% CI=1.18-1.32] was more likely to have health insurance. Conclusion: This finding pointed to education level, economic status, and demographic area such as respondents who lived in rural areas should more pay attention to NHI. Intervention through the provision of appropriate information about NHI should be promoted. |
format | Online Article Text |
id | pubmed-9532955 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-95329552022-10-11 Factors Associated with National Health Insurance Coverage in Indonesia Sukartini, Tintin Arifin, Hidayat Kurniawati, Yulia Pradipta, Rifky Octavia Nursalam, Nursalam Acob, Joel Rey Ugsang F1000Res Research Article Background: The National Health Insurance (NHI) program is the Indonesian government's national health program. However, health insurance coverage has not been maximized. This study aims to analyze the factors associated with health insurance coverage in Indonesia. Methods: Retrospective cross-sectional data were obtained from the Indonesian Demographic and Health Survey 2017. A total of 39,580 respondents were selected using two-stage stratified cluster sampling. The data come from the DHS Questionnaire Phase 7. In this study, we explored age, education level, wealth quintiles, residence, the number of children who are alive, marital status, current employment status, earnings, and health insurance status in relation to health insurance coverage. Then, we analyzed the data using chi-squared and binary logistic analyses. Results: The prevalence of health insurance coverage in the Indonesian population is 62.3%. Respondent aged 15-24 years [AOR=0.88; 95% CI=0.77-1.00], secondary education level [AOR=0.44; 95% CI=0.41-0.47], poorer wealth index [AOR=0.76; 95% CI=0.71-0.82], live in rural area [AOR=0.78; 95% CI=0.75-0.82], divorced [AOR=0.72; 95% CI=0.63-0.83] were less likelihood to have health insurance. Conversely, the respondent who received earnings [AOR=1.25; 95% CI=1.18-1.32] was more likely to have health insurance. Conclusion: This finding pointed to education level, economic status, and demographic area such as respondents who lived in rural areas should more pay attention to NHI. Intervention through the provision of appropriate information about NHI should be promoted. F1000 Research Limited 2022-09-14 /pmc/articles/PMC9532955/ /pubmed/36225240 http://dx.doi.org/10.12688/f1000research.53672.2 Text en Copyright: © 2022 Sukartini T et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Sukartini, Tintin Arifin, Hidayat Kurniawati, Yulia Pradipta, Rifky Octavia Nursalam, Nursalam Acob, Joel Rey Ugsang Factors Associated with National Health Insurance Coverage in Indonesia |
title | Factors Associated with National Health Insurance Coverage in Indonesia |
title_full | Factors Associated with National Health Insurance Coverage in Indonesia |
title_fullStr | Factors Associated with National Health Insurance Coverage in Indonesia |
title_full_unstemmed | Factors Associated with National Health Insurance Coverage in Indonesia |
title_short | Factors Associated with National Health Insurance Coverage in Indonesia |
title_sort | factors associated with national health insurance coverage in indonesia |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9532955/ https://www.ncbi.nlm.nih.gov/pubmed/36225240 http://dx.doi.org/10.12688/f1000research.53672.2 |
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