Microsimulation Model

Uses

How it works

Highlighted claims

• The study developed an individual-level microsimulation model in R to represent heterogeneity in costs, outcomes, and intervention impact. — Equity impact and cost-effectiveness of a community health worker breast cancer educational programme in rural South Africa: a modelling study
• The baseline population included women aged 18 to 99 with a first-time breast cancer diagnosis. — Equity impact and cost-effectiveness of a community health worker breast cancer educational programme in rural South Africa: a modelling study
• The model used annual cycles and followed individuals over a lifetime horizon of 90 years. — Equity impact and cost-effectiveness of a community health worker breast cancer educational programme in rural South Africa: a modelling study
• The model represented nine mutually exclusive health states including breast cancer stages, breast cancer death, and death from other causes. — Equity impact and cost-effectiveness of a community health worker breast cancer educational programme in rural South Africa: a modelling study
• The model did not simulate stage-by-stage disease progression and instead estimated survival from stage-specific mortality probabilities. — Equity impact and cost-effectiveness of a community health worker breast cancer educational programme in rural South Africa: a modelling study