Ghana's national health insurance scheme in the context of the health MDGs: an empirical evaluation using propensity score matching
- 1 September 2010
- journal article
- research article
- Published by Wiley in Health Economics
- Vol. 19 (S1), 95-106
- https://doi.org/10.1002/hec.1633
Abstract
In 2003 the Government of Ghana established a National Health Insurance Scheme (NHIS) to improve health‐care access for Ghanaians and eventually replace the cash‐and‐carry system. This study evaluates an important aspect of its promise in the context of the Millennium Development Goals ♯4 and ♯5 which deal with the health of women and children. We use Propensity Score Matching techniques to balance the relevant background characteristics in our survey data and compare health indicators of recent mothers who are enrolled in the NHIS with those who are not. Our findings suggest that NHIS women are more likely to receive prenatal care, deliver at a hospital, have their deliveries attended by trained health professionals, and experience less birth complications. We conclude that NHIS is an effective tool for improving health outcomes among those who are covered, which should encourage the Ghanaian government to promote further enrolment, in particular among the poor. Copyright © 2010 John Wiley & Sons, Ltd.This publication has 17 references indexed in Scilit:
- Policy evaluation and economic policy adviceAStA Advances in Statistical Analysis, 2007
- Health Insurance Disparities in Traditional and Contingent/Alternative EmploymentInternational Journal of Health Economics and Management, 2005
- Identification and estimation of causal effects of multiple treatments under the conditional independence assumptionPublished by Springer Science and Business Media LLC ,2001
- The Health of Women in Transition from Welfare to EmploymentWestern Journal of Nursing Research, 2000
- The role of the propensity score in estimating dose-response functionsBiometrika, 2000
- The Economics and Econometrics of Active Labor Market ProgramsHandbook of Labor Economics, 1999
- Identification and Estimation of Causal Effects of Multiple Treatments Under the Conditional Independence AssumptionSSRN Electronic Journal, 1999
- Estimating Causal Effects from Large Data Sets Using Propensity ScoresAnnals of Internal Medicine, 1997
- Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity ScoreThe American Statistician, 1985
- The central role of the propensity score in observational studies for causal effectsBiometrika, 1983