Cost of hemodialysis in a public sector tertiary hospital of India.
Kaur G., Prinja S., Ramachandran R., Malhotra P., Gupta KL., Jha V.
INTRODUCTION: Nearly 220000 patients are diagnosed with end-stage renal disease (ESRD) every year, which calls for an additional demand of 34 million dialysis sessions in India. The government of India has announced a National Dialysis Programme to provide for free dialysis in public hospitals. In this article we estimate the overall cost of performing hemodialysis (HD) in a tertiary care hospital. Second, we assess the catastrophic impact of out-of-pocket expenditures (OOPEs) for HD on households and its determinants. METHODS: The economic health system cost of HD was estimated using bottom-up costing methods. All resources, capital and recurrent, utilized for service delivery from April 2015 to March 2016 were identified, measured and valued. Capital costs were annualized after accounting for their useful life and discounting at 3% for future years. Sensitivity analyses were undertaken to determine the effect of variation in the input prices and other assumptions on the annual health system cost. OOPEs were assessed by interviewing 108 patients undergoing HD in the study hospital to account for costs from the patient's perspective. The prevalence of catastrophic health expenditures (CHEs) was computed per threshold of 40% of non-food expenditures. RESULTS: The overall average cost incurred by the health system per HD session was INR 4148 (US$64). Adjusting for capacity utilization, the health system incurred INR 3025 (US$47) per HD at 100% bed occupancy. The mean OOPE per patient per session was INR 2838 (US$44; 95% confidence interval US$34-55). The major components of this OOPE were medicines and consumables (64.1%). The prevalence of a CHE per HD session was 11.1%. CONCLUSION: Our study findings would be useful in the context of planning for dialysis services, setting provider payment rates for dialysis under various publicly sponsored health insurance schemes and undertaking future cost-effectiveness analysis to guide resource allocation decisions.