Health insurance coverage, type of payment for health insurance, and reasons for not being insured under the National Health Insurance Scheme in Ghana.

Ghana Health insurance coverage Insured and uninsured National Health Insurance Scheme (NHIS) Type of payment

Journal

Health economics review
ISSN: 2191-1991
Titre abrégé: Health Econ Rev
Pays: Germany
ID NLM: 101583209

Informations de publication

Date de publication:
29 Dec 2019
Historique:
received: 09 04 2019
accepted: 04 12 2019
entrez: 31 12 2019
pubmed: 31 12 2019
medline: 31 12 2019
Statut: epublish

Résumé

Ghana's National Health Insurance Scheme has improved access to care, although equity and sustainability issues remain. This study examined health insurance coverage, type of payment for health insurance and reasons for being uninsured under the National Health Insurance Scheme in Ghana. The 2014 Ghana Demographic Health Survey datasets with information for 9396 women and 3855 men were analyzed. The study employed cross-sectional national representative data. The frequency distribution of socio-demographics and health insurance coverage differentials among men and women is first presented. Further statistical analysis applies a two-stage probit Hackman selection model to determine socio-demographic factors associated with type of payment for insurance and reasons for not insured among men and women under the National Health insurance Scheme in Ghana. The selection equation in the Hackman selection model also shows the association between insurance status and socio-demographic factors. About 66.0% of women and 52.6% of men were covered by health insurance. Wealth status determined insurance status, with poorest, poorer and middle-income groups being less likely to pay themselves for insurance. Women never in union and widowed women were less likely to be covered relative to married women although this group was more likely to pay NHIS premiums themselves. Wealth status (poorest, poorer and middle-income) was associated with non-affordability as a reason for being not insured. Geographic disparities were also found. Rural men and nulliparous women were also more likely to mention no need of insurance as a reason of being uninsured. Tailored policies to reduce delays in membership enrolment, improve positive perceptions and awareness of National Health Insurance Scheme in reducing catastrophic spending and addressing financial barriers for enrolment among some groups can be positive precursors to improve trust and enrolments and address broad equity concerns regarding the National Health Insurance Scheme.

Sections du résumé

BACKGROUND BACKGROUND
Ghana's National Health Insurance Scheme has improved access to care, although equity and sustainability issues remain. This study examined health insurance coverage, type of payment for health insurance and reasons for being uninsured under the National Health Insurance Scheme in Ghana.
METHODS METHODS
The 2014 Ghana Demographic Health Survey datasets with information for 9396 women and 3855 men were analyzed. The study employed cross-sectional national representative data. The frequency distribution of socio-demographics and health insurance coverage differentials among men and women is first presented. Further statistical analysis applies a two-stage probit Hackman selection model to determine socio-demographic factors associated with type of payment for insurance and reasons for not insured among men and women under the National Health insurance Scheme in Ghana. The selection equation in the Hackman selection model also shows the association between insurance status and socio-demographic factors.
RESULTS RESULTS
About 66.0% of women and 52.6% of men were covered by health insurance. Wealth status determined insurance status, with poorest, poorer and middle-income groups being less likely to pay themselves for insurance. Women never in union and widowed women were less likely to be covered relative to married women although this group was more likely to pay NHIS premiums themselves. Wealth status (poorest, poorer and middle-income) was associated with non-affordability as a reason for being not insured. Geographic disparities were also found. Rural men and nulliparous women were also more likely to mention no need of insurance as a reason of being uninsured.
CONCLUSION CONCLUSIONS
Tailored policies to reduce delays in membership enrolment, improve positive perceptions and awareness of National Health Insurance Scheme in reducing catastrophic spending and addressing financial barriers for enrolment among some groups can be positive precursors to improve trust and enrolments and address broad equity concerns regarding the National Health Insurance Scheme.

Identifiants

pubmed: 31885056
doi: 10.1186/s13561-019-0255-5
pii: 10.1186/s13561-019-0255-5
pmc: PMC6935470
doi:

Types de publication

Journal Article

Langues

eng

Pagination

39

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Auteurs

Martin Amogre Ayanore (MA)

Department of Health Policy Planning and Management, School of Public Health, University of Health and Allied Sciences, Ho, Ghana. mayanore@uhas.edu.gh.

Milena Pavlova (M)

Department of Health Services Research, CAPHRI, Maastricht University Medical Centre, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands.

Nuworza Kugbey (N)

Department of Family and Community Health, School of Public Health, University of Health and Allied Sciences, Ho, Ghana.

Adam Fusheini (A)

Department of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.

John Tetteh (J)

Department of Community Health, University of Ghana Medical School, School of Public Health, College of Health Sciences, University of Ghana, Accra, Ghana.

Augustine Adoliba Ayanore (AA)

Centre for Health Policy Advocacy Innovation & Research in Africa (CHPAIR-Africa), Accra, Ghana.

James Akazili (J)

Ghana Health Service Research Division, Accra, Ghana.

Philip Baba Adongo (PB)

Department of Social and Behavioral Science, School of Public Health, University of Ghana, Accra, Ghana.

Wim Groot (W)

Department of Health Services Research, CAPHRI, Maastricht University Medical Centre, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands.
Top Institute Evidence-Based Education Research (TIER), Maastricht University, Maastricht, The Netherlands.

Classifications MeSH