Evidence Synthesis

The synthesis of systematically derived data, as well as real world data, is central to evidence-based medicine and is the foundation of healthcare policy making internationally. Systematic literature review is a vital aspect of the HTA process, ensuring all relevant data are utilized and pooled to allow for important questions regarding efficacy, quality of life, resource use and safety to be answered.

We develop deterministic as well stochastic decision models to evaluate the cost-effectiveness and budget impact of competing interventions, combining data from a diverse range of sources.

Parameters can be clinical effectiveness and safety (from clinical trials, observational studies, real world data), resource utilization with derived costs and disease progression rates (from administrative database and expert boards), and patient outcomes (data collection).

EVIDENCE SYNTHESIS

Methods

Network Meta Analysis NMA

Cost-effectiveness models
and relative analysis

Incremental cost-effectiveness ratio

Budget impact models

Real World Evidences (RWE) from Real World Data (RWD

Evidence Synthesis

Services and Output

Modelling (ex-novo and adaptation) + Analysis

  • Systematic Literature Review Report and Network Meta-Analysis
  • Cost effectiveness analysis - CEA
  • Budget Impact analysis - BIA
  • Cost minimization analysis – CMA
  • Cost utility analysis – CUA
  • Pharmaco-utilization analysis
  • Real world evidence – RWE
  • Clinical outcome assessment – COA
  • Medical Unmet need analysis Report

Output

  • Submission of research protocols
  • Manuscript for publications
  • Expert validation reports
  • Early HTA report (R&D phase)
  • HTA to support P&R process/medicine
  • Global Value Dossier/medicine
  • Technical file/Dossier (medical device)
  • CER - Clinical evaluation report (medical device)