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Structure and Content of a Taxonomy to Support the Use of Real-World Evidence by Health Technology Assessment Practitioners and Healthcare Decision Makers.
Murphy, Linda A; Akehurst, Ron; Solà-Morales, Oriol; Cunningham, David; Mestre-Ferrandiz, Jorge; Franklin, Matthew; de Pouvourville, Gérard.
Afiliación
  • Murphy LA; Lumanity Inc, Sheffield, England, UK. Electronic address: linda.murphy@lumanity.com.
  • Akehurst R; Lumanity Inc, Sheffield, England, UK.
  • Solà-Morales O; Fundació HiTT, Barcelona, Spain.
  • Cunningham D; Independent Consultant, Surrey, England, UK.
  • Mestre-Ferrandiz J; Independent Economics Consultant, Madrid, Spain.
  • Franklin M; University of Sheffield, Sheffield, England, UK.
  • de Pouvourville G; ESSEC Business School, Cergy Pontoise, France.
Value Health ; 26(4S): 20-31, 2023 04.
Article en En | MEDLINE | ID: mdl-36706951
This is one of a series of articles that consider the barriers to optimal use of real-world evidence (RWE) in health technology assessment and how to overcome them. The work was performed as part of EUreccA 2025, in particular with the RWE workstream embodied within that collaboration. Elsewhere in this issue we described the reasoning and process that led us to develop practical tools to support RWE use, including this taxonomy and explained the methods used to do so. The taxonomy classifies questions that are typically addressed using real-world data in health technology assessment and the data sources typically used to address these questions. In this article, we describe the taxonomy itself. For as many of the pairings as possible, we have provided links to advice and methods on how to address the associated question using those data. We have also provided links to examples of RWE use in practical decision making to answer the questions posed. Our work is not complete, but we believe it is sufficient to demonstrate the value of such a taxonomy and information source if it is completed and curated as a "wiki" by the community that would use it.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_geracao_evidencia_conhecimento Asunto principal: Evaluación de la Tecnología Biomédica / Atención a la Salud Tipo de estudio: Health_technology_assessment / Prognostic_studies Aspecto: Determinantes_sociais_saude Límite: Humans Idioma: En Revista: Value Health Asunto de la revista: FARMACOLOGIA Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_geracao_evidencia_conhecimento Asunto principal: Evaluación de la Tecnología Biomédica / Atención a la Salud Tipo de estudio: Health_technology_assessment / Prognostic_studies Aspecto: Determinantes_sociais_saude Límite: Humans Idioma: En Revista: Value Health Asunto de la revista: FARMACOLOGIA Año: 2023 Tipo del documento: Article
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