Relative effectiveness assessment of listed drugs (REAL): a new method for an early comparison of the effectiveness of approved health technologies.

OBJECTIVES: Post-listing assessment of pharmaceuticals depends on national habits. In England, the assessment is based on estimates of cost per quality-adjusted life-year. These are made some considerable time after listing (negative list). In France, effectiveness, and then efficiency, is assessed immediately after listing (positive list). We propose a new formal method--the REAL method--that can help make early comparisons of the effectiveness of medical treatments. METHODS: Relative efficacies are first obtained from randomized controlled trials (RCTs). Members of the Transparency Committee (French National Authority for Health) are then consulted by questionnaire on the transposability of these results to real life. The RCT results and experts' ratings are entered into an effect model to obtain estimates of relative effectiveness, using unidimensional scaling, and bootstrap procedures. RESULTS: Application of the REAL method to the example of a new drug to treat Parkinson's disease and three comparators used in the same indication provided graphs of the distributions of their relative efficacy and relative effectiveness. The new drug was found to provide no added value. CONCLUSIONS: The REAL method is a rational, transparent, and practical procedure for comparing the effectiveness of pharmaceuticals in an immediate post-listing setting.

Real medical benefit assessed by indirect comparison.

Frequently, in data packages submitted for Marketing Approval to the CHMP, there is a lack of relevant head-to-head comparisons of medicinal products that could enable national authorities responsible for the approval of reimbursement to assess the Added Therapeutic Value (ASMR) of new clinical entities or line extensions of existing therapies.Indirect or mixed treatment comparisons (MTC) are methods stemming from the field of meta-analysis that have been designed to tackle this problem. Adjusted indirect comparisons, meta-regressions, mixed models, Bayesian network analyses pool results of randomised controlled trials (RCTs), enabling a quantitative synthesis.The REAL procedure, recently developed by the HAS (French National Authority for Health), is a mixture of an MTC and effect model based on expert opinions. It is intended to translate the efficacy observed in the trials into effectiveness expected in day-to-day clinical practice in France.