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3017. Effect of timings and frequencies of HCV treatment camps on epidemiological, health and cost outcomes in Indian Punjab

Invited abstract in session MC-17: Simulation models in healthcare, stream OR in Health Services (ORAHS).

Monday, 12:30-14:00
Room: 40 (building: 116)

Authors (first author is the speaker)

1. Soham Das
Department of Mechanical Engineering, Indian Institute of Technology Delhi
2. Varun Ramamohan
Department of Mechanical Engineering, Indian Institute of Technology Delhi

Abstract

In this study, we developed an agent-based simulation model for hepatitis C virus (HCV) transmission in the context of Punjab, an Indian state with a high prevalence of the disease. The model incorporated a dynamic cohort, infection spread through all major modes and a previously validated discrete-time Markov chain for disease progression. We experimented the impact of treatment policies varying in frequencies and timings of treatment camps for different uptake rates. For modelling treatment, we used the cure rates and costs of sofosbuvir plus velpatasvir, a type of directly-acting antivirals having high cure rates. In low- and middle-income countries like India, where budget and resources for healthcare are greatly constrained, it is of interest to test whether annual camps are avoidable. Over a ten-year intervention period, we tested the following policies: (1) annual treatment camp (2) a single treatment camp at the beginning of the intervention period (3) a single treatment camp at the end of the intervention period (4) two treatment camps at the end of the fifth and tenth years of the intervention period (5) three treatment camps at the end of the third, sixth and tenth years of the intervention period. For all uptake rates, we found that while treating once at the end is the best to maximize life years, quality-adjusted life years and net monetary benefits, yet the annual treatment camp is the best to minimize costs, HCV spread and active HCV prevalence.

Keywords

Status: accepted

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