Predictors of Health Care Service Quality among Women Insured Under Ghana’s National Health Insurance Scheme

Background: Insured women in Ghana are more likely to use maternity care services than their uninsured counterparts. To improve service quality among insured women in Ghana, better understanding of the factors that predict quality standards of primary health care services is essential. Objective: To...

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Autores principales:	Martin Amogre Ayanore, Richard Ofori-Asenso, Amos Laar
Formato:	article
Lenguaje:	EN
Publicado:	Ubiquity Press 2018
Materias:	Infectious and parasitic diseases RC109-216 Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/a77bc620ef204395ba3bf5027a15511b
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spelling	oai:doaj.org-article:a77bc620ef204395ba3bf5027a15511b2021-12-02T07:29:44ZPredictors of Health Care Service Quality among Women Insured Under Ghana’s National Health Insurance Scheme2214-999610.29024/aogh.2371https://doaj.org/article/a77bc620ef204395ba3bf5027a15511b2018-11-01T00:00:00Zhttps://annalsofglobalhealth.org/articles/2371https://doaj.org/toc/2214-9996Background: Insured women in Ghana are more likely to use maternity care services than their uninsured counterparts. To improve service quality among insured women in Ghana, better understanding of the factors that predict quality standards of primary health care services is essential. Objective: To examine predictors of health care service quality among insured women under the National Health Insurance Scheme (NHIS) in Ghana. Methods: Data from the 2014 Ghana Demographic Health Survey was analysed. Cluster analysis was applied to construct a dependent variable; service care quality. Socio-demographic/background characteristics were used as independent variables. Descriptive and inferential analyses were performed followed by multiple regression to predict service quality among the insured population of women aged 15–49 years. SPSS version 21 was used during the clustering while STATA version 14 was used to perform the inferential and regression analyses. Findings: Overall, geographical region of respondents was significant to expressions of insured service quality (χ2=495.4, p ≤ 0.001). Literacy levels were significant at χ2=69.232 and p ≤ 0.001 for service quality. On place of residence, the estimation show urban residency was more positively correlated with indicating quality ratings of health services compared to rural residency (χ2=70.29, p ≤ 0.001). Highest educational level had the highest predictive influence with a coefficient of 0.15. Conclusions:A more supportive health insurance system approach that shifts towards introducing valued-based care models for patients, insurers and health care providers could be supportive in improving quality standards among insured population groups in Ghana.Martin Amogre AyanoreRichard Ofori-AsensoAmos LaarUbiquity PressarticleInfectious and parasitic diseasesRC109-216Public aspects of medicineRA1-1270ENAnnals of Global Health, Vol 84, Iss 4 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Infectious and parasitic diseases RC109-216 Public aspects of medicine RA1-1270
spellingShingle	Infectious and parasitic diseases RC109-216 Public aspects of medicine RA1-1270 Martin Amogre Ayanore Richard Ofori-Asenso Amos Laar Predictors of Health Care Service Quality among Women Insured Under Ghana’s National Health Insurance Scheme
description	Background: Insured women in Ghana are more likely to use maternity care services than their uninsured counterparts. To improve service quality among insured women in Ghana, better understanding of the factors that predict quality standards of primary health care services is essential. Objective: To examine predictors of health care service quality among insured women under the National Health Insurance Scheme (NHIS) in Ghana. Methods: Data from the 2014 Ghana Demographic Health Survey was analysed. Cluster analysis was applied to construct a dependent variable; service care quality. Socio-demographic/background characteristics were used as independent variables. Descriptive and inferential analyses were performed followed by multiple regression to predict service quality among the insured population of women aged 15–49 years. SPSS version 21 was used during the clustering while STATA version 14 was used to perform the inferential and regression analyses. Findings: Overall, geographical region of respondents was significant to expressions of insured service quality (χ2=495.4, p ≤ 0.001). Literacy levels were significant at χ2=69.232 and p ≤ 0.001 for service quality. On place of residence, the estimation show urban residency was more positively correlated with indicating quality ratings of health services compared to rural residency (χ2=70.29, p ≤ 0.001). Highest educational level had the highest predictive influence with a coefficient of 0.15. Conclusions:A more supportive health insurance system approach that shifts towards introducing valued-based care models for patients, insurers and health care providers could be supportive in improving quality standards among insured population groups in Ghana.
format	article
author	Martin Amogre Ayanore Richard Ofori-Asenso Amos Laar
author_facet	Martin Amogre Ayanore Richard Ofori-Asenso Amos Laar
author_sort	Martin Amogre Ayanore
title	Predictors of Health Care Service Quality among Women Insured Under Ghana’s National Health Insurance Scheme
title_short	Predictors of Health Care Service Quality among Women Insured Under Ghana’s National Health Insurance Scheme
title_full	Predictors of Health Care Service Quality among Women Insured Under Ghana’s National Health Insurance Scheme
title_fullStr	Predictors of Health Care Service Quality among Women Insured Under Ghana’s National Health Insurance Scheme
title_full_unstemmed	Predictors of Health Care Service Quality among Women Insured Under Ghana’s National Health Insurance Scheme
title_sort	predictors of health care service quality among women insured under ghana’s national health insurance scheme
publisher	Ubiquity Press
publishDate	2018
url	https://doaj.org/article/a77bc620ef204395ba3bf5027a15511b
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Predictors of Health Care Service Quality among Women Insured Under Ghana’s National Health Insurance Scheme

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