Uncertainty Analysis in Intervention Impact on Health Inequality for Resource Allocation Decisions.

ABSTRACT: Cost-effectiveness analysis, routinely used in health care to inform funding decisions, can be extended to consider impact on health inequality. Distributional cost-effectiveness analysis (DCEA) incorporates socioeconomic differences in model parameters to capture how an intervention would affect both overall population health and differences in health between population groups. In DCEA, uncertainty analysis can consider the decision uncertainty around on both impacts (i.e., the probability that an intervention will increase overall health and the probability that it will reduce inequality). Using an illustrative example assessing smoking cessation interventions (2 active interventions and a "no-intervention" arm), we demonstrate how the uncertainty analysis could be conducted in DCEA to i

SUBMITTER: Yang F 

PROVIDER: S-EPMC8295967 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature