Mundane? Demographic characteristics as predictors of enrolment onto the National Health Insurance Scheme in two districts of Ghana

Abstract Background In 2003, Ghana passed a law to establish a National Health Insurance Scheme (NHIS) to serve as the main vehicle for achieving universal health coverage. Over 60% of the population had registered by 2009. Current active membership is however 40%. The stagnation in growth has been...

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Main Authors: Anthony Seddoh, Fuseini Sataru
Format: Article
Language:English
Published: BMC 2018-05-01
Series:BMC Health Services Research
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12913-018-3155-1
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author Anthony Seddoh
Fuseini Sataru
author_facet Anthony Seddoh
Fuseini Sataru
author_sort Anthony Seddoh
collection DOAJ
description Abstract Background In 2003, Ghana passed a law to establish a National Health Insurance Scheme (NHIS) to serve as the main vehicle for achieving universal health coverage. Over 60% of the population had registered by 2009. Current active membership is however 40%. The stagnation in growth has been recorded across all the membership categories. Clearly, the Scheme is falling short of its core objective. This analysis is a critical thematic contextual examination of the effects of demographic factors on enrolment onto the Scheme. Methods Demographic secondary data for 625 respondents collected (using a structured questionnaire) during a cross-sectional household survey in an urban, Ashaiman, and rural, Adaklu, districts was analyzed in univariate and multivariate logistic regression models using Statistical Package for Social Scientists (SPSS). Statistical significance was set at P-value < 0.05. Variables included in the analysis were age, gender, education, occupation and knowledge about the NHIS. Results Seventy-nine percent of the survey respondents have ever enrolled onto the NHIS with three-fifths being females. Of the ever enrolled, 63% had valid cards. Age, gender and educational level were significant predictors of enrolment in the multivariate analysis. Respondents between the ages 41–60 years were twice (p = 0.05) more likely to be enrolled onto a district Scheme compared with respondents between the ages 21–40 years. Females were thrice (p = 0.00) more likely to enroll compared with males. Respondents educated to the tertiary, five times (p = 0.02), and post-graduate, four times (p = 0.05), levels were more likely to enroll compared with non-educated respondents. No significant association was observed between occupation and enrolment. Conclusion Uptake of the scheme is declining despite high awareness and knowledge. Leadership, innovation and collaboration are required at the district Scheme level to curtail issues of low self-enrolment and to grow membership. Otherwise, the goal of universal coverage under the NHIS will become merely a slogan and equity in financial access to health care for all Ghanaians will remain elusive.
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spelling doaj.art-d39f2e4c157346e69b6b787fa93f3fe12022-12-21T17:45:35ZengBMCBMC Health Services Research1472-69632018-05-011811610.1186/s12913-018-3155-1Mundane? Demographic characteristics as predictors of enrolment onto the National Health Insurance Scheme in two districts of GhanaAnthony Seddoh0Fuseini Sataru1International Finance CorporationInternational Finance CorporationAbstract Background In 2003, Ghana passed a law to establish a National Health Insurance Scheme (NHIS) to serve as the main vehicle for achieving universal health coverage. Over 60% of the population had registered by 2009. Current active membership is however 40%. The stagnation in growth has been recorded across all the membership categories. Clearly, the Scheme is falling short of its core objective. This analysis is a critical thematic contextual examination of the effects of demographic factors on enrolment onto the Scheme. Methods Demographic secondary data for 625 respondents collected (using a structured questionnaire) during a cross-sectional household survey in an urban, Ashaiman, and rural, Adaklu, districts was analyzed in univariate and multivariate logistic regression models using Statistical Package for Social Scientists (SPSS). Statistical significance was set at P-value < 0.05. Variables included in the analysis were age, gender, education, occupation and knowledge about the NHIS. Results Seventy-nine percent of the survey respondents have ever enrolled onto the NHIS with three-fifths being females. Of the ever enrolled, 63% had valid cards. Age, gender and educational level were significant predictors of enrolment in the multivariate analysis. Respondents between the ages 41–60 years were twice (p = 0.05) more likely to be enrolled onto a district Scheme compared with respondents between the ages 21–40 years. Females were thrice (p = 0.00) more likely to enroll compared with males. Respondents educated to the tertiary, five times (p = 0.02), and post-graduate, four times (p = 0.05), levels were more likely to enroll compared with non-educated respondents. No significant association was observed between occupation and enrolment. Conclusion Uptake of the scheme is declining despite high awareness and knowledge. Leadership, innovation and collaboration are required at the district Scheme level to curtail issues of low self-enrolment and to grow membership. Otherwise, the goal of universal coverage under the NHIS will become merely a slogan and equity in financial access to health care for all Ghanaians will remain elusive.http://link.springer.com/article/10.1186/s12913-018-3155-1National Health Insurance SchemeHistorical context of health care financing in GhanaSocial protectionEnrolment
spellingShingle Anthony Seddoh
Fuseini Sataru
Mundane? Demographic characteristics as predictors of enrolment onto the National Health Insurance Scheme in two districts of Ghana
BMC Health Services Research
National Health Insurance Scheme
Historical context of health care financing in Ghana
Social protection
Enrolment
title Mundane? Demographic characteristics as predictors of enrolment onto the National Health Insurance Scheme in two districts of Ghana
title_full Mundane? Demographic characteristics as predictors of enrolment onto the National Health Insurance Scheme in two districts of Ghana
title_fullStr Mundane? Demographic characteristics as predictors of enrolment onto the National Health Insurance Scheme in two districts of Ghana
title_full_unstemmed Mundane? Demographic characteristics as predictors of enrolment onto the National Health Insurance Scheme in two districts of Ghana
title_short Mundane? Demographic characteristics as predictors of enrolment onto the National Health Insurance Scheme in two districts of Ghana
title_sort mundane demographic characteristics as predictors of enrolment onto the national health insurance scheme in two districts of ghana
topic National Health Insurance Scheme
Historical context of health care financing in Ghana
Social protection
Enrolment
url http://link.springer.com/article/10.1186/s12913-018-3155-1
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AT fuseinisataru mundanedemographiccharacteristicsaspredictorsofenrolmentontothenationalhealthinsuranceschemeintwodistrictsofghana