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What, Where, and How to Collect Real-World Data and Generate Real-World Evidence to Support Drug Reimbursement Decision-Making in Asia: A reflection Into the Past and A Way Forward.
Kc, Sarin; Lin, Lydia Wenxin; Bayani, Diana Beatriz Samson; Zemlyanska, Yaroslava; Adler, Amanda; Ahn, Jeonghoon; Chan, Kelvin; Choiphel, Dechen; Genuino-Marfori, Anne Julienne; Kearney, Brendon; Liu, Yuehua; Nakamura, Ryota; Pearce, Fiona; Prinja, Shankar; Pwu, Raoh-Fang; Akmal Shafie, Arsul; Sui, Binyan; Suwantika, Auliya; Tunis, Sean; Wu, Hui-Min; Zalcberg, John; Zhao, Kun; Isaranuwatchai, Wanrudee; Teerawattananon, Yot; Wee, Hwee-Lin.
Afiliação
  • Kc S; Health Intervention and Technology Assessment Program (HITAP), Ministry of Health, Nonthaburi, Thailand.
  • Lin LW; Saw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore, Singapore.
  • Bayani DBS; Saw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore, Singapore.
  • Zemlyanska Y; Saw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore, Singapore.
  • Adler A; The Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, UK.
  • Ahn J; Ewha Womans University, Seoul, South Korea.
  • Chan K; Sunnybrook Odette Cancer Centre, Toronto, ON, Canada.
  • Choiphel D; Sunnybrook Research Institute, Toronto, ON, Canada.
  • Genuino-Marfori AJ; Canadian Centre for Applied Research in Cancer Control, Toronto, ON, Canada.
  • Kearney B; Essential Medicine and Technology Division, Department of Medical Services, Ministry of Health, Thimphu, Bhutan.
  • Liu Y; Health Technology Assessment Unit, Department of Health, Quezon City, Philippines.
  • Nakamura R; Faculty of Medicine, University of Adelaide, Adelaide, SA, Australia.
  • Pearce F; Health Policy Advisory Committee on Technology, Brisbane, QLD, Australia.
  • Prinja S; China Health Technology Assessment Centre, National Health Development Research Centre, Ministry of Health, Beijing, China.
  • Pwu RF; Hitotsubashi Institute for Advanced Study, Hitotsubashi University, Tokyo, Japan.
  • Akmal Shafie A; Agency for Care Effectiveness, Ministry of Health, Singapore, Singapore.
  • Sui B; Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
  • Suwantika A; Taiwan National Hepatitis C Program Office, Ministry of Health and Welfare, Taipei, Taiwan.
  • Tunis S; Discipline of Social and Administrative Pharmacy, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, Malaysia.
  • Wu HM; China Health Technology Assessment Centre, National Health Development Research Centre, Ministry of Health, Beijing, China.
  • Zalcberg J; Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, Indonesia.
  • Zhao K; Center for Medical Technology Policy (CMTP), Baltimore, MD, USA.
  • Isaranuwatchai W; Taiwan National Hepatitis C Program Office, Ministry of Health and Welfare, Taipei, Taiwan.
  • Teerawattananon Y; Cancer Research Program, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
  • Wee HL; Department of Medical Oncology, Alfred Hospital, Melbourne, VIC, Australia.
Int J Health Policy Manag ; 12: 6858, 2023.
Article em En | MEDLINE | ID: mdl-37579427
ABSTRACT

BACKGROUND:

Globally, there is increasing interest in the use of real-world data (RWD) and real-world evidence (RWE) to inform health technology assessment (HTA) and reimbursement decision-making. Using current practices and case studies shared by eleven health systems in Asia, a non-binding guidance that seeks to align practices for generating and using RWD/RWE for decision-making in Asia was developed by the REAL World Data In ASia for HEalth Technology Assessment in Reimbursement (REALISE) Working Group, addressing a current gap and needs among HTA users and generators.

METHODS:

The guidance document was developed over two face-to-face workshops, in addition to an online survey, a face-to-face interview and pragmatic search of literature. The specific focus was on what, where and how to collect RWD/ RWE.

RESULTS:

All 11 REALISE member jurisdictions participated in the online survey and the first in-person workshop, 10 participated in the second in-person workshop, and 8 participated in the in-depth face-to-face interviews. The guidance document was iteratively reviewed by all working group members and the International Advisory Panel. There was substantial variation in (a) sources and types of RWD being used in HTA, and (b) the relative importance and prioritization of RWE being used for policy-making. A list of national-level databases and other sources of RWD available in each country was compiled. A list of useful guidance on data collection, quality assurance and study design were also compiled.

CONCLUSION:

The REALISE guidance document serves to align the collection of better quality RWD and generation of reliable RWE to ultimately inform HTA in Asia.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Formulação de Políticas / Avaliação da Tecnologia Biomédica Tipo de estudo: Guideline / Health_technology_assessment / Prognostic_studies / Qualitative_research Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Int J Health Policy Manag Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Tailândia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Formulação de Políticas / Avaliação da Tecnologia Biomédica Tipo de estudo: Guideline / Health_technology_assessment / Prognostic_studies / Qualitative_research Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Int J Health Policy Manag Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Tailândia