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Predictors of enrollment in a health protection scheme among informal sector workers in Kumasi Metropolis of Ghana
OBJECTIVE: Informal sector workers are exposed to occupational hazards which could escalate their healthcare expenditures. Thus, enrollment in a health protection scheme among informal sector workers is useful for reducing their catastrophic healthcare expenditures. However, there is scant informati...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873757/ https://www.ncbi.nlm.nih.gov/pubmed/31752971 http://dx.doi.org/10.1186/s13104-019-4782-2 |
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author | Adei, Dina Agyemang-Duah, Williams Mensah, Anthony Acquah |
author_facet | Adei, Dina Agyemang-Duah, Williams Mensah, Anthony Acquah |
author_sort | Adei, Dina |
collection | PubMed |
description | OBJECTIVE: Informal sector workers are exposed to occupational hazards which could escalate their healthcare expenditures. Thus, enrollment in a health protection scheme among informal sector workers is useful for reducing their catastrophic healthcare expenditures. However, there is scant information on factors predicting their enrollment in the National Health Insurance Scheme (NHIS) in Ghana, a gap this quantitative study aims to fill. A sample of 350 informal sector workers was involved in a cross-sectional survey. RESULTS: Approximately 17% of the participants were enrolled in NHIS. Respondents who had worked between 5 and 7 years were significantly more likely to enroll in NHIS compared with those who had worked below 2 years (AOR = 13.159, CI 1.135–152.596, p = 0.039). The study further found that apprentices (AOR = 0.72, CI 0.353–1.056, p = 0.005) were less likely to enroll in NHIS compared with their masters. Participants who were exposed to electrical hazards (AOR = 2.93, CI 1.56–5.10, p = 0.013) and suffered from occupational diseases (AOR = 2.75, CI 1.743–5.17, p = 0.001) were significantly more likely to enroll in NHIS. Also, respondents who were non-Christians were significantly less likely to enroll in NHIS compared with their respective counterparts (AOR = 0.726, CI 0.067–2.503, p = 0.011). The findings are useful for increasing the NHIS enrollment rate among informal sector workers in Ghana. |
format | Online Article Text |
id | pubmed-6873757 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68737572019-11-25 Predictors of enrollment in a health protection scheme among informal sector workers in Kumasi Metropolis of Ghana Adei, Dina Agyemang-Duah, Williams Mensah, Anthony Acquah BMC Res Notes Research Note OBJECTIVE: Informal sector workers are exposed to occupational hazards which could escalate their healthcare expenditures. Thus, enrollment in a health protection scheme among informal sector workers is useful for reducing their catastrophic healthcare expenditures. However, there is scant information on factors predicting their enrollment in the National Health Insurance Scheme (NHIS) in Ghana, a gap this quantitative study aims to fill. A sample of 350 informal sector workers was involved in a cross-sectional survey. RESULTS: Approximately 17% of the participants were enrolled in NHIS. Respondents who had worked between 5 and 7 years were significantly more likely to enroll in NHIS compared with those who had worked below 2 years (AOR = 13.159, CI 1.135–152.596, p = 0.039). The study further found that apprentices (AOR = 0.72, CI 0.353–1.056, p = 0.005) were less likely to enroll in NHIS compared with their masters. Participants who were exposed to electrical hazards (AOR = 2.93, CI 1.56–5.10, p = 0.013) and suffered from occupational diseases (AOR = 2.75, CI 1.743–5.17, p = 0.001) were significantly more likely to enroll in NHIS. Also, respondents who were non-Christians were significantly less likely to enroll in NHIS compared with their respective counterparts (AOR = 0.726, CI 0.067–2.503, p = 0.011). The findings are useful for increasing the NHIS enrollment rate among informal sector workers in Ghana. BioMed Central 2019-11-21 /pmc/articles/PMC6873757/ /pubmed/31752971 http://dx.doi.org/10.1186/s13104-019-4782-2 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Note Adei, Dina Agyemang-Duah, Williams Mensah, Anthony Acquah Predictors of enrollment in a health protection scheme among informal sector workers in Kumasi Metropolis of Ghana |
title | Predictors of enrollment in a health protection scheme among informal sector workers in Kumasi Metropolis of Ghana |
title_full | Predictors of enrollment in a health protection scheme among informal sector workers in Kumasi Metropolis of Ghana |
title_fullStr | Predictors of enrollment in a health protection scheme among informal sector workers in Kumasi Metropolis of Ghana |
title_full_unstemmed | Predictors of enrollment in a health protection scheme among informal sector workers in Kumasi Metropolis of Ghana |
title_short | Predictors of enrollment in a health protection scheme among informal sector workers in Kumasi Metropolis of Ghana |
title_sort | predictors of enrollment in a health protection scheme among informal sector workers in kumasi metropolis of ghana |
topic | Research Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873757/ https://www.ncbi.nlm.nih.gov/pubmed/31752971 http://dx.doi.org/10.1186/s13104-019-4782-2 |
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