Lessons learned from the application of the HEcoPerMed guidance to three modeling case studies.

Autor: Nagy B; Syreon Research Institute, Budapest, Hungary.; Center for Health Technology Assessment, Semmelweis University, Budapest, Hungary., Zelei T; Syreon Research Institute, Budapest, Hungary., Vellekoop H; Institute for Medical Technology Assessment, Erasmus University Rotterdam, 3000 DR, Rotterdam, The Netherlands., Huygens S; Institute for Medical Technology Assessment, Erasmus University Rotterdam, 3000 DR, Rotterdam, The Netherlands., Versteegh M; Institute for Medical Technology Assessment, Erasmus University Rotterdam, 3000 DR, Rotterdam, The Netherlands., Mölken MR; Institute for Medical Technology Assessment, Erasmus University Rotterdam, 3000 DR, Rotterdam, The Netherlands.; Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands., Koleva-Kolarova R; Health Economics Research Centre, University of Oxford, Oxford, UK., Tsiachristas A; Health Economics Research Centre, University of Oxford, Oxford, UK., Wordsworth S; Health Economics Research Centre, University of Oxford, Oxford, UK., Szilberhorn L; Syreon Research Institute, Budapest, Hungary.
Jazyk: angličtina
Zdroj: Personalized medicine [Per Med] 2023 Jul; Vol. 20 (4), pp. 401-411. Date of Electronic Publication: 2023 Sep 11.
DOI: 10.2217/pme-2023-0040
Abstrakt: Background: The HEcoPerMed consortium developed a methodological guidance for the harmonization and improvement of economic evaluations in personalized medicine. Materials & methods: In three therapeutic areas, health economic models were developed to scrutinize the recommendations of the guidance. Results: Altogether, 20 of the 23 recommendations of the guidance were addressed by the models. Seven recommendations were applied in all studies, six in two of the studies and seven in one of the studies. Recommendations with an essential role on the final conclusions of the analyses were identified in each study. Conclusion: The guidance was found to be best used as a tool to identify and prioritize issues, verify solutions and justify decisions during the economic analysis of personalized interventions.
Databáze: MEDLINE
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