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Real-world evidence for coverage determination of treatments for rare diseases.
Dayer, Victoria W; Drummond, Michael F; Dabbous, Omar; Toumi, Mondher; Neumann, Peter; Tunis, Sean; Teich, Nelson; Saleh, Shadi; Persson, Ulf; von der Schulenburg, Johann-Matthias Graf; Malone, Daniel C; Salimullah, Tay; Sullivan, Sean D.
Affiliation
  • Dayer VW; CHOICE Institute, School of Pharmacy, University of Washington, 1959 NE Pacific Street, Seattle, WA, 98195, USA. vwinslow@uw.edu.
  • Drummond MF; Centre for Health Economics, University of York, York, UK.
  • Dabbous O; Novartis Gene Therapies, Inc., Bannockburn, IL, USA.
  • Toumi M; Faculty of Medicine, Public Health Department, Aix-Marseille University, Marseille, France.
  • Neumann P; Tufts Medical Center, Boston, MA, USA.
  • Tunis S; Rubix Health, Baltimore, MD, USA.
  • Teich N; Brazil Governance Network, Brasilia, Brazil.
  • Saleh S; American University of Beirut, Beirut, Lebanon.
  • Persson U; The Swedish Institute for Health Economics, Lund, Sweden.
  • von der Schulenburg JG; Institute for Risk and Insurance, Leibniz University Hannover, Hanover, Germany.
  • Malone DC; Department of Pharmacotherapy, University of Utah, Salt Lake City, UT, USA.
  • Salimullah T; Novartis Gene Therapies, Inc., Bannockburn, IL, USA.
  • Sullivan SD; CHOICE Institute, School of Pharmacy, University of Washington, 1959 NE Pacific Street, Seattle, WA, 98195, USA.
Orphanet J Rare Dis ; 19(1): 47, 2024 Feb 07.
Article in En | MEDLINE | ID: mdl-38326894
ABSTRACT
Health technology assessment (HTA) decisions for pharmaceuticals are complex and evolving. New rare disease treatments are often approved more quickly through accelerated approval schemes, creating more uncertainties about clinical evidence and budget impact at the time of market entry. The use of real-world evidence (RWE), including early coverage with evidence development, has been suggested as a means to support HTA decisions for rare disease treatments. However, the collection and use of RWE poses substantial challenges. These challenges are compounded when considered in the context of treatments for rare diseases. In this paper, we describe the methodological challenges to developing and using prospective and retrospective RWE for HTA decisions, for rare diseases in particular. We focus attention on key elements of study design and analyses, including patient selection and recruitment, appropriate adjustment for confounding and other sources of bias, outcome selection, and data quality monitoring. We conclude by offering suggestions to help address some of the most vexing challenges. The role of RWE in coverage and pricing determination will grow. It is, therefore, necessary for researchers, manufacturers, HTA agencies, and payers to ensure that rigorous and appropriate scientific principles are followed when using RWE as part of decision-making.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Technology Assessment, Biomedical / Rare Diseases Type of study: Health_technology_assessment / Observational_studies / Prognostic_studies Limits: Humans Language: En Journal: Orphanet J Rare Dis Journal subject: MEDICINA Year: 2024 Document type: Article Affiliation country: Estados Unidos Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Technology Assessment, Biomedical / Rare Diseases Type of study: Health_technology_assessment / Observational_studies / Prognostic_studies Limits: Humans Language: En Journal: Orphanet J Rare Dis Journal subject: MEDICINA Year: 2024 Document type: Article Affiliation country: Estados Unidos Country of publication: Reino Unido