ArticleInternational journal of technology assessment in health care2024
Can requests for real-world evidence by the French HTA body be planned? An exhaustive retrospective case-control study of medicinal products appraisals from 2016 to 2021.
Article in International journal of technology assessment in health care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Planning Post-Launch Evidence Generation: Lessons From France, England and Spain.Clinical pharmacology and therapeutics · 2025Review
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Authors and funding
11 authors.
Funding
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Abstract
objectivesIn France, decisions for pricing and reimbursement for medicinal products are based on appraisals performed by the National authority for health (
methodsThis analysis encompassed all appraisals finalized between January 1, 2016 and December 31, 2021 and compared products for which the appraisal led to a PRS request with those that did not.
resultsSix hundred positive opinions for reimbursement were identified, with a PRS request present in 17 percent (n = 103) of cases. The independent characteristics associated with a PRS request were a mild or moderate clinical benefit score, a major to moderate or minor clinical added value score, previous availability under an early access program, and certain therapeutic areas (neurology, pulmonology, and endocrinology). These findings suggest two different profiles of PRS requests: (i) products for which there is uncertainty in the size of the clinical benefit and (ii) innovative products for which a substantial benefit is expected but uncertainties persist.
conclusionsThese results will assist health technology developers to better anticipate data generation to promptly address uncertainties identified by HAS. It may also help HAS and other assessment agencies to work together to improve postlaunch evidence generation according to the characteristics of the medicinal products.
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