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Ghanaian women’s knowledge on whether malaria treatment is covered by the national health insurance: A multilevel regression analysis of national data

BACKGROUND: To obviate malaria and other healthcare costs and enhance healthcare utilization, the government of Ghana introduced the National Health Insurance Scheme (NHIS) in 2005. Nonetheless, there is dearth of empirical evidence on Ghanaian women’s knowledge about whether malaria treatment is co...

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Autores principales: Ameyaw, Edward Kwabena, Baatiema, Linus, Ahinkorah, Bright Opoku, Seidu, Abdul-Aziz, Ninnoni , Jerry Paul, Ganle, John Kuumuori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8666054/
https://www.ncbi.nlm.nih.gov/pubmed/34895188
http://dx.doi.org/10.1186/s12889-021-12290-7
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author Ameyaw, Edward Kwabena
Baatiema, Linus
Ahinkorah, Bright Opoku
Seidu, Abdul-Aziz
Ninnoni , Jerry Paul
Ganle, John Kuumuori
author_facet Ameyaw, Edward Kwabena
Baatiema, Linus
Ahinkorah, Bright Opoku
Seidu, Abdul-Aziz
Ninnoni , Jerry Paul
Ganle, John Kuumuori
author_sort Ameyaw, Edward Kwabena
collection PubMed
description BACKGROUND: To obviate malaria and other healthcare costs and enhance healthcare utilization, the government of Ghana introduced the National Health Insurance Scheme (NHIS) in 2005. Nonetheless, there is dearth of empirical evidence on Ghanaian women’s knowledge about whether malaria treatment is covered by the NHIS or not. The current study, therefore, investigated factors associated with knowledge of malaria treatment with the NHIS among women aged 15-49 in Ghana. METHODS: The study is a secondary analysis of data from women respondents in the 2014 Ghana Demographic and Health Survey. A total of 2,560 women participated in this study. Descriptive computation of the weighted proportion of women who knew that malaria is covered by NHIS was conducted at 95% confidence interval (CI). A multilevel logistic regression analyses was carried out with Stata’s MLwinN package version 3.05. We declared significance at 5% alpha. Findings from the models were reported as adjusted odds ratios (aOR) and credible intervals (CrIs). RESULTS: In all, 81.0% of Ghanaian women included in the study knew that NHIS covers malaria treatment. Women aged 45-49 had higher odds of knowing that NHIS covers malaria relative to those aged 15-19 age category [aOR=1.5;95%crl=1.2-2.1]. Women with higher education (post-secondary) had higher odds of knowing that NHIS covers malaria treatment compared with women who had no formal education [aOR=1.6;95%Crl=1.2-2.0]. Richest women were more likely to know that NHIS covers malaria treatment compared to the poorest women [aOR=1.3;95%Crl=1.2-1.7]. Women who had subscribed to the NHIS were more likely to report that NHIS covers malaria treatment [aOR=1.5;95%Crl=1.2-1.8]. The study revealed that the variance in the tendency for a woman to be aware that NHIS covers malaria treatment is attributable to 10.8% community level factors. CONCLUSION: This study has shown that individual, community and regional level factors affect women’s knowledge on whether NHIS covers malaria treatment or not. As knowledge that malaria treatment is covered by NHIS may increase use of malaria prevention and treatment services in health facilities, we recommend that the Ghana Health Service intensifies community level education and awareness creation efforts, targeted at women among whom awareness levels are currently low.
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spelling pubmed-86660542021-12-13 Ghanaian women’s knowledge on whether malaria treatment is covered by the national health insurance: A multilevel regression analysis of national data Ameyaw, Edward Kwabena Baatiema, Linus Ahinkorah, Bright Opoku Seidu, Abdul-Aziz Ninnoni , Jerry Paul Ganle, John Kuumuori BMC Public Health Research Article BACKGROUND: To obviate malaria and other healthcare costs and enhance healthcare utilization, the government of Ghana introduced the National Health Insurance Scheme (NHIS) in 2005. Nonetheless, there is dearth of empirical evidence on Ghanaian women’s knowledge about whether malaria treatment is covered by the NHIS or not. The current study, therefore, investigated factors associated with knowledge of malaria treatment with the NHIS among women aged 15-49 in Ghana. METHODS: The study is a secondary analysis of data from women respondents in the 2014 Ghana Demographic and Health Survey. A total of 2,560 women participated in this study. Descriptive computation of the weighted proportion of women who knew that malaria is covered by NHIS was conducted at 95% confidence interval (CI). A multilevel logistic regression analyses was carried out with Stata’s MLwinN package version 3.05. We declared significance at 5% alpha. Findings from the models were reported as adjusted odds ratios (aOR) and credible intervals (CrIs). RESULTS: In all, 81.0% of Ghanaian women included in the study knew that NHIS covers malaria treatment. Women aged 45-49 had higher odds of knowing that NHIS covers malaria relative to those aged 15-19 age category [aOR=1.5;95%crl=1.2-2.1]. Women with higher education (post-secondary) had higher odds of knowing that NHIS covers malaria treatment compared with women who had no formal education [aOR=1.6;95%Crl=1.2-2.0]. Richest women were more likely to know that NHIS covers malaria treatment compared to the poorest women [aOR=1.3;95%Crl=1.2-1.7]. Women who had subscribed to the NHIS were more likely to report that NHIS covers malaria treatment [aOR=1.5;95%Crl=1.2-1.8]. The study revealed that the variance in the tendency for a woman to be aware that NHIS covers malaria treatment is attributable to 10.8% community level factors. CONCLUSION: This study has shown that individual, community and regional level factors affect women’s knowledge on whether NHIS covers malaria treatment or not. As knowledge that malaria treatment is covered by NHIS may increase use of malaria prevention and treatment services in health facilities, we recommend that the Ghana Health Service intensifies community level education and awareness creation efforts, targeted at women among whom awareness levels are currently low. BioMed Central 2021-12-11 /pmc/articles/PMC8666054/ /pubmed/34895188 http://dx.doi.org/10.1186/s12889-021-12290-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Ameyaw, Edward Kwabena
Baatiema, Linus
Ahinkorah, Bright Opoku
Seidu, Abdul-Aziz
Ninnoni , Jerry Paul
Ganle, John Kuumuori
Ghanaian women’s knowledge on whether malaria treatment is covered by the national health insurance: A multilevel regression analysis of national data
title Ghanaian women’s knowledge on whether malaria treatment is covered by the national health insurance: A multilevel regression analysis of national data
title_full Ghanaian women’s knowledge on whether malaria treatment is covered by the national health insurance: A multilevel regression analysis of national data
title_fullStr Ghanaian women’s knowledge on whether malaria treatment is covered by the national health insurance: A multilevel regression analysis of national data
title_full_unstemmed Ghanaian women’s knowledge on whether malaria treatment is covered by the national health insurance: A multilevel regression analysis of national data
title_short Ghanaian women’s knowledge on whether malaria treatment is covered by the national health insurance: A multilevel regression analysis of national data
title_sort ghanaian women’s knowledge on whether malaria treatment is covered by the national health insurance: a multilevel regression analysis of national data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8666054/
https://www.ncbi.nlm.nih.gov/pubmed/34895188
http://dx.doi.org/10.1186/s12889-021-12290-7
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