Evidence and HEOR

Systematic reviews and meta-analyses with international standards, from PICO and search strategy to extraction, critical appraisal and quantitative synthesis.

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Structured assessment of risk of bias and certainty of evidence using specific and up-to-date instruments for each research design (RoB 2, ROBINS-I, other instruments).

We conduct systematic assessments of the certainty of evidence across bodies of clinical evidence using the GRADE approach.

We perform indirect comparisons for scenarios without head-to-head evidence, including network meta-analysis (Bayesian or frequentist approaches) and population-adjusted methods such as MAIC and STC.

We develop original economic models (Markov, partitioned survival, microsimulation and decision trees) for cost-effectiveness/cost-utility analyses in healthcare.

We adapt international economic models developed for agencies and contexts such as NICE, CDA, PBAC, and ICER to the Brazilian context, including SUS and supplementary health, incorporating local clinical practice, costs, epidemiology, and decision-making parameters.

Budget impact models with target population estimates, adoption scenarios, technology diffusion assumptions, and healthcare system costs to support incorporation decisions and financial planning.