Evidence and HEOR

HTAnalyze applies internationally standardized methods in its technical deliverables to ensure consistency, traceability, and analytical robustness in evidence-based and HEOR (health economics and outcomes research) projects. We work in evidence synthesis and critical evaluation, economic modeling, budget impact analysis, real-world studies (RWE), and expert panels, always oriented towards the decision-making context and the specific needs of each jurisdiction.

Systematic reviews and meta-analyses

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

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Risk of bias analysis in clinical trials

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).

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Assessment of confidence in effect estimates (GRADE)

We conducted a systematic assessment of the confidence in effect estimates across a body of clinical evidence using the GRADE method.

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Network meta-analyses and other indirect comparison methods (NMA, MAIC, other methods)

We performed indirect comparisons for scenarios without head-to-head studies, including NMA (Bayesian/frequentist) and population adjustment methods (MAIC/STC).

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Development of an Original Economic Model

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

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Adaptation of Global Economic Models

We adapted international economic models (NICE/CDA/PBAC/ICER, others) to the Brazilian context (SUS and supplementary health), incorporating local clinical practice, costs, epidemiology, and decision-making parameters.

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Budgetary Impact
(AIO/BIA)

Budgetary impact models with target population estimates, adoption scenarios, and technological diffusion, to support incorporation decisions and financial planning.

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Evidence and HEOR

Systematic reviews and meta-analyses

Risk of bias analysis in clinical trials

Assessment of confidence in effect estimates (GRADE)

Network meta-analyses and other indirect comparison methods (NMA, MAIC, other methods)

Development of an Original Economic Model

Adaptation of Global Economic Models

Budgetary Impact (AIO/BIA)

Budgetary Impact
(AIO/BIA)