BackgroundA peculiar phenomenon of engaging insurance intermediaries for government funded health insurance schemes for the poor, not usually found globally, is gaining ground in India. Rajiv Aarogyasri Scheme launched in the Indian state of Andhra Pradesh, is first largest tax funded community health insurance scheme in the country covering more than 20 million poor families. Aarogyasri Health Care Trust (trust), the scheme administrator, transfers funds to hospitals through two routes one, directly and the other through an insurance intermediary. The objective of this paper is to find out if engaging an insurance intermediary has any effect on cost efficiency of the insurance scheme.MethodsWe used payment data of RAS for the period 2007–12, to find out the influence of insurance intermediary on the two variables, benefit cost ratio defined as benefit payment divided by premium payment, and claim denial ratio defined as benefit payment divided by treatment cost. Relationship between scheme expenditure and number of beds empanelled under the scheme is examined. OLS regression is used to perform all analyses.ResultsWe found that adding an additional layer of insurance intermediary between the trust and hospitals reduced the benefit cost ratio under the scheme by 12.2 % (p-value = 0.06). Every addition of 100 beds under the scheme increases the scheme payments by US$ 0.75 million (p-value < 0.001). The gap in claim denial ratio between insurance and trust modes narrowed down from 2.84 % in government hospitals to 0.41 % in private hospitals (p-value < 0.001).ConclusionsThe scheme is a classic case of Roemer's principle in operation. Introduction of insurance intermediary has the twin effects of reduction in benefit payments to beneficiaries, and chocking fund flow to government hospitals. The idea of engaging insurance intermediary should be abandoned.

One of the distinguishing features of implementation research is the importance given to involve implementers in all aspects of research, and as users of research. We report on a recent implementation research effort in India, in which researchers worked together with program implementers from one of the longest serving government funded insurance schemes in India, the Rajiv Aarogyasri Scheme (RAS) in the state of undivided Andhra Pradesh, that covers around 70 million people. This paper aims to both inform on the process of the collaborative research, as well as, how the nature of questions that emerged out of the collaborative exercise differed in scope from those typically asked of insurance program evaluations. Starting in 2012, and over the course of a year, staff from the Aarogyasri Health Care Trust (AHCT), and researchers held a series of meetings to identify research questions that could serve as a guide for an evaluation of the RAS. The research questions were derived from the application of a Logical Framework Approach ("log frame") to the RAS. The types of questions that emerged from this collaborative effort were compared with those seen in the published literature on evaluations of insurance programs in low-and middle-income countries (LMICs). In the published literature, 60% of the questions pertained to output/outcome of the program and the remaining 40%, relate to processes and inputs. In contrast, questions generated from the RAS participatory research process between implementers and researchers had a remarkably different distribution -81% of questions looked at program input/ processes, and 19% on outputs and outcomes. An implementation research approach can lead to a substantively different emphasis of research questions. While there are several challenges in collaborative research between implementers and researchers, an implementation research approach can lead to incorporating tacit knowledge of program implementers into the research process, research questions that are more relevant to the research needs of policy-makers, and greater knowledge translation of the research findings. BackgroundThe emerging field of implementation research seeks to focus research attention on issues concerning program implementation to improve program effectiveness. It emphasizes generating knowledge for action and not just for the sake of 'better understanding. ' 1-3 One of the distinguishing features of implementation research is the importance given to both the context within which a program operates, as well as, the population that is affected by the program. In particular, it seeks to involve implementers and populations affected by an intervention in all aspects of research right from research design, the process of research, and as users of research.

No abstract