Kelsey Vaughan1, Ngozi Akwataghibe2, Babatunde Fakunle3, Liezel Wolmarans4. 1. Royal Tropical Institute (KIT), Amsterdam, The Netherlands 1090HA kelsey@bangforbuckconsulting.com. 2. ENAULD Health Research and Services, Leidschendam, The Netherlands 2264BC. 3. Shell Petroleum Development Company, Nigeria. 4. Royal Tropical Institute (KIT), Amsterdam, The Netherlands 1090HA.
Abstract
BACKGROUND: A key aspect of monitoring and evaluating health programs is ensuring that benefits are reaching their target population. We conducted a benefit incidence analysis (BIA) of a Shell-sponsored community health insurance scheme in Nigeria to determine the extent to which the target group (the poor) was benefitting. METHODS: We examined a sample of 616 patients' hospital attendance, financial and administrative records from 2012-2013. We estimated annual utilization rates and average unit costs for inpatient and outpatient services. We multiplied the two to produce a total cost per patient, then deducted annual out-of-pocket expenditures to estimate the total community-based health insurance scheme benefit per person. Benefits were multiplied by the total number of persons in each socioeconomic group to aggregate benefits. We used concentration curves and dominance tests to determine statistical significance at 5% and 10% levels of significance. RESULTS: Collectively, the poorest 20% of the population received 12% of benefits while the richest quintile received the largest share (23%). Inpatient and outpatient benefits are weakly regressive (pro-rich), statistically significant at a 10% level of significance. CONCLUSIONS: Although the poor were found to benefit, this BIA revealed a tendency towards pro-rich distributions. Removing co-payments for the poorest, reducing long wait and visit times and using community volunteers to help increase access to health services may improve benefits for the poor.
BACKGROUND: A key aspect of monitoring and evaluating health programs is ensuring that benefits are reaching their target population. We conducted a benefit incidence analysis (BIA) of a Shell-sponsored community health insurance scheme in Nigeria to determine the extent to which the target group (the poor) was benefitting. METHODS: We examined a sample of 616 patients' hospital attendance, financial and administrative records from 2012-2013. We estimated annual utilization rates and average unit costs for inpatient and outpatient services. We multiplied the two to produce a total cost per patient, then deducted annual out-of-pocket expenditures to estimate the total community-based health insurance scheme benefit per person. Benefits were multiplied by the total number of persons in each socioeconomic group to aggregate benefits. We used concentration curves and dominance tests to determine statistical significance at 5% and 10% levels of significance. RESULTS: Collectively, the poorest 20% of the population received 12% of benefits while the richest quintile received the largest share (23%). Inpatient and outpatient benefits are weakly regressive (pro-rich), statistically significant at a 10% level of significance. CONCLUSIONS: Although the poor were found to benefit, this BIA revealed a tendency towards pro-rich distributions. Removing co-payments for the poorest, reducing long wait and visit times and using community volunteers to help increase access to health services may improve benefits for the poor.