Background

BackgroundIn many developing countries, initiatives are underway to strengthen voluntary community based health insurance as a means of expanding access to affordable care among the informal sector. However, increasing coverage with voluntary health insurance in low income settings can prove challenging. There are limited studies on determinants of enrolling in these schemes using mixed methods. This study aims to shed light on the characteristics of those joining a community health fund, a type of community based health insurance, in Tanzania and the reasons for their membership and subsequent drop out using mixed methods.MethodsA cross sectional survey of households in four rural districts was conducted in 2008, covering a total of 1,225 (524 members of CHF and 701 non-insured) households and 7,959 individuals. In addition, 12 focus group discussions were carried out with CHF members, non-scheme members and members of health facility governing committees in two rural districts. Logistic regression was used to assess the determinants of CHF membership while thematic analysis was done to analyse qualitative data.ResultsThe quantitative analysis revealed that the three middle income quintiles were more likely to enrol in the CHF than the poorest and the richest. CHF member households were more likely to be large, and headed by a male than uninsured households from the same areas. The qualitative data supported the finding that the poor rather than the poorest were more likely to join as were large families and of greater risk of illness, with disabilities or persons with chronic diseases. Households with elderly members or children under-five years were also more likely to enrol. Poor understanding of risk pooling deterred people from joining the scheme and was the main reason for not renewing membership. On the supply side, poor quality of public care services, the limited benefit package and a lack of provider choice were the main factors for low enrolment.ConclusionsDeterminants of CHF membership are diverse and improving the quality of health services and expanding the benefit package should be prioritised to expand voluntary health insurance coverage.

Little is known about health system equity in Tanzania, whether in terms of distribution of the health care financing burden or distribution of health care benefits. This study undertook a combined analysis of both financing and benefit incidence to explore the distribution of health care benefits and financing burden across socio-economic groups. A system-wide analysis of benefits was undertaken, including benefits from all providers irrespective of ownership. The analysis used the household budget survey (HBS) from 2001, the most recent nationally representative survey data publicly available at the time, to analyse the distribution of health care payments through user fees, health insurance contributions [from the National Health Insurance Fund (NHIF) for the formal sector and the Community Health Fund (CHF), for the rural informal sector] and taxation. Due to lack of information on NHIF and CHF contributions in the HBS, a primary survey was administered to estimate CHF enrollment and contributions; assumptions were used to estimate NHIF contributions within the HBS. Data from the same household survey, administered to 2224 households in seven districts/councils, was used to analyse the distribution of health care benefits across socio-economic groups. The health financing system was mildly progressive overall, with income taxes and NHIF contributions being the most progressive financing sources. Out-of-pocket payments and contributions to the CHF were regressive. The health benefit distribution was fairly even but the poorest received a lower share of benefits relative to their share of need for health care. Public primary care facility use was pro-poor, whereas higher level and higher cost facility use was generally pro-rich. We conclude that health financing reforms can improve equity, so long as integration of health insurance schemes is promoted along with cross-subsidization and greater reliance on general taxation to finance health care for the poorest.