Abstract

This research was set to examine the factors influencing the willingness and the likelihood of Ghanaians to accept the capitation payment system under the National Health Insurance Scheme. Data was collected through the random sampling method in all the ten regions of Ghana. A probit estimation with marginal effects was adopted to examine the factors influencing the willingness and the likelihood while the generalized Blinder-Oaxaca decomposition was used to examine the extent to which individual characteristics influence the acceptance gap between high income and low-income earners. Our results indicated that, at the individual level, high income, being employed, awareness and smaller household size were the significant factors influencing the willingness and the likelihood to accept capitation. We also observed that the acceptance gap between high income and low-income earners was largely influenced by unexplained factors other than individual characteristics of high income earners. Since the willingness and the likelihood to accept capitation are mixed across regions and largely dependent on high incomes, the intention to roll out and implement the capitation system should be as a complementary payment system to the already existing one, being the diagnosis related grouping. We recommend that the current payment system, the diagnosis-related-grouping be maintained and complemented with capitation while measures to reduce, if not eliminate, the abuse associated with it be put in place.

Highlights

  • The wealth of every nation is partly dependent on the health of its people

  • The first part of this paper provides an overview of health insurance policy and states the problem regarding the capitation system of payment, the research objectives and significance of the study

  • The results revealed a mean acceptance of 27% for low income earners and 50% for high income earners, leading to an acceptance gap of 23% in favor of high income earners

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Summary

Introduction

The wealth of every nation is partly dependent on the health of its people. It is estimated that for every 10% increase in life expectancy at birth there is a corresponding rise in economic growth of 0.4%, and this economic growth leads to a further rise in life expectancy at birth [22]. Gupta and Mitra [14] observe that growth tends to reduce poverty and improves health status. They find that growth and health status are positively correlated and have a two-way relationship. This finding suggests that better health enhances economic growth by improving productivity, and higher growth allows better human capital formation. For this reason, various governments try to put in place policies that will ensure improved health status of their citizenry. In a bid to improving the health needs and accessibility, the government of Ghana introduced the Ghana National Health Insurance Scheme (NHIS) to provide financial

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