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The use of nonrandomized evidence to estimate treatment effects in health technology assessment.
Kent, Seamus; Salcher-Konrad, Maximilian; Boccia, Stefania; Bouvy, Jacoline C; Waure, Chiara de; Espin, Jaime; Facey, Karen; Nguyen, Mary; Rejon-Parrilla, Juan Carlos; Jonsson, Pall.
Afiliación
  • Kent S; National Institute for Health & Care Excellence, Manchester, M1 4BT, UK.
  • Salcher-Konrad M; Care Policy & Evaluation Center (CPEC), London School of Economics & Political Science, London, WC2A 2AE, UK.
  • Boccia S; LSE Health, London School of Economics & Political Science, London, WC2A 2AE, UK.
  • Bouvy JC; Section of Hygiene, University Department of Life Sciences & Public Health, Università Cattolica del Sacro Cuore, Rome, 20123, Italy.
  • Waure C; Department of Woman & Child Health & Public Health - Public Health Area, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome RM, 00168, Italy.
  • Espin J; National Institute for Health & Care Excellence, Manchester, M1 4BT, UK.
  • Facey K; Department of Medicine & Surgery, University of Perugia, Perugia, 06123, Italy.
  • Nguyen M; Andalusian School of Public Health/Escuela Andaluza de Salud Pública (EASP), Granada, 18011, Spain.
  • Rejon-Parrilla JC; CIBER en Epidemiología y Salud Pública (CIBERESP), Spain / CIBER of Epidemiology & Public Health (CIBERESP), Planta 0, Madrid, 28029 Spain.
  • Jonsson P; Instituto de Investigación Biosanitaria ibs, Granada, 18012, Spain.
J Comp Eff Res ; 10(14): 1035-1043, 2021 10.
Article en En | MEDLINE | ID: mdl-34279114
Health technology assessment (HTA) is increasingly informed by nonrandomized studies, but there is limited guidance from HTA bodies on expectations around evidence quality and study conduct. We developed recommendations to support the appropriate use of such evidence based on a pragmatic literature review and a workshop involving 16 experts from eight countries as part of the EU's Horizon-2020 IMPACT-HTA program (work package six). To ensure HTA processes remain rigorous and robust, HTA bodies should demand clear, extensive and structured reporting of nonrandomized studies, including an in-depth assessment of the risk of bias. In recognition of the additional uncertainty imparted by nonrandomized designs in estimates of treatment effects, HTA bodies should strengthen early scientific advice and engage in collaborative efforts to improve use of real-world data.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Evaluación de la Tecnología Biomédica Tipo de estudio: Guideline / Health_technology_assessment Aspecto: Patient_preference Límite: Humans Idioma: En Revista: J Comp Eff Res Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Evaluación de la Tecnología Biomédica Tipo de estudio: Guideline / Health_technology_assessment Aspecto: Patient_preference Límite: Humans Idioma: En Revista: J Comp Eff Res Año: 2021 Tipo del documento: Article
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