Agent-Based Simulation Modelling Approach to ECEA of Health Interventions
2013
This study develops a dynamic agent-based simulation model, the Disease Control Priorities Simulation (DCPSim) model, to estimate the health and economic benefits of health interventions and policies.
Authors examined two different policies that can scale up the availability of drugs for secondary prevention of acute myocardial infarction (AMI) in India: a universal public provision (UPP) that provides a drug for free at public health facilities, and a universal public finance (UPF) that provides a drug for free at public facilities and fully finances it at private facilities.
In addition to measuring the number of lives saved by scaling up the availability of drugs such as aspirin and combination therapies, the authors also estimated the economic benefits of the UPP and UPF policies. For every 1 million Indians, these policies averted out-of-pocket private medical expenditure ranging from US$255 726 to $300 061 related to both the secondary and primary treatment of AMIs in India. We also found that these policies provided up to a $56 932 value of insurance against financial risk and increased access to capital by reducing debt burden.
Agent-Based Simulation Modelling Approach to ECEA of Health Interventions
Source:
Nandi A, Megiddo I, Prabhakaran D et al. An Agent-Based Simulation Modelling Approach to Extended Cost-Effectiveness Analysis of Health Interventions. The Lancet 2013; 381 (S2): S96. https://doi.org/10.1016/S0140-6736(13)61350-1