Evidence and evaluation
Health economics and real-world evidence
Payers, health technology assessment bodies and research funders ask two questions of any new treatment, service or program: does it work better than the alternative, and is it worth what it costs? We build the evidence for both.
Questions this answers
- What is the cost per quality-adjusted life year compared with current practice?
- What would adoption cost a public or private payer over five years?
- What does real-world data show about comparative effectiveness when no head-to-head trial exists?
- Which uncertainties matter most to the decision?
Methods
Markov and discrete-event simulation models, partitioned survival analysis, budget impact analysis, probabilistic sensitivity analysis, and observational comparative-effectiveness methods including target-trial emulation and propensity-score approaches.