Natl Med J India
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Families living below the poverty line in countries which do not have universal healthcare coverage are drawn into indebtedness and bankruptcy. The state of Andhra Pradesh in India established the Rajiv Aarogyasri Community Health Insurance Scheme (RACHIS) in 2007 with the aim of breaking this cycle by improving the access of below the poverty line (BPL) families to secondary and tertiary healthcare. It covered a wide range of surgical and medical treatments for serious illnesses requiring specialist healthcare resources not always available at district-level government hospitals. The impact of this scheme was evaluated by a rapid assessment, commissioned by the government of Andhra Pradesh. The aim of the assessment was to explore the contribution of the scheme to the reduction of catastrophic health expenditure among the poor and to recommend ways by which delivery of the scheme could be improved. We report the findings of this assessment. ⋯ An integrated model encompassing primary, secondary and tertiary care would be of greater benefit to families below the poverty line and more cost-effective for the government. There is considerable potential for the government to build on this successful start and to strengthen equity of access and the quality of care provided by the scheme.
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BACKGROUND. Analysis of the scope and quality of evaluations of health system/policy interventions done in India is not available. Such analysis can help in conducting more useful evaluations. METHODS. ⋯ This analysis of health system/policy intervention evaluation reports from India identifies specific areas that need improvement. We recommend that Indian agencies should commission more evaluations as international agencies currently dominate, involvement of intervention implementer in the evaluation needs scrutiny as potential bias is suggested by our analysis, and health system components other than services need more attention. Outcome/impact evaluations need to incorporate controls in design and multivariate techniques more often in their analysis to achieve higher quality robust evaluations in India.