TY - JOUR
T1 - What, Where, and How to Collect Real-World Data and Generate Real-World Evidence to Support Drug Reimbursement Decision-Making in Asia
T2 - A reflection Into the Past and A Way Forward
AU - Kc, Sarin
AU - Lin, Lydia Wenxin
AU - Bayani, Diana Beatriz Samson
AU - Zemlyanska, Yaroslava
AU - Adler, Amanda
AU - Ahn, Jeonghoon
AU - Chan, Kelvin
AU - Choiphel, Dechen
AU - Genuino-Marfori, Anne Julienne
AU - Kearney, Brendon
AU - Liu, Yuehua
AU - Nakamura, Ryota
AU - Pearce, Fiona
AU - Prinja, Shankar
AU - Pwu, Raoh Fang
AU - Shafie, Arsul Akmal
AU - Sui, Binyan
AU - Suwantika, Auliya
AU - Tunis, Sean
AU - Wu, Hui Min
AU - Zalcberg, John
AU - Zhao, Kun
AU - Isaranuwatchai, Wanrudee
AU - Teerawattananon, Yot
AU - Wee, Hwee Lin
N1 - Funding Information:
All support for the present manuscript came from an unrestricted grant from The International Decision Support Initiative (iDSI, https://www.idsihealth.org) [grant number: OPP1134345]. In addition, the grant has covered the attendance of meetings and travel by the corresponding author. The corresponding author has disclosed all the information related to the current manuscript in the ICMJE Disclosure Form and has no relationships/activities/interests to declare related to the content of the manuscript.
Funding Information:
This work was supported by an unrestricted grant from The International Decision Support Initiative (iDSI, https://www.idsihealth.org) [grant number: OPP1134345], a global network of health, policy and economic expertise, working to achieve universal health coverage and the health Sustainable Development Goal (SDG 3), and which supports countries to get the best value for money from health spending. iDSI receives funding support from the Bill & Melinda Gates Foundation, the UK Department for International Development, and the Rockefeller Foundation. Under the grant conditions of the Bill & Melinda Gates Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission. Ryota Nakamura was also supported by the Japan Society for the Promotion of Science KAKENHI (grant number: 18H00862). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The findings, interpretations and conclusions expressed in this article do not necessarily reflect the views of the aforementioned funding agencies. A representative from iDSI participated in the first REASLISE working group meeting as an observer.
Publisher Copyright:
© 2023 The Author(s); Published by Kerman University of Medical Sciences.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Asia
KW - Cost-Effectiveness Analysis
KW - Health Technology Assessment
KW - Real-World Data
KW - Real-World Evidence
KW - Reimbursement
UR - http://www.scopus.com/inward/record.url?scp=85152729946&partnerID=8YFLogxK
U2 - 10.34172/ijhpm.2023.6858
DO - 10.34172/ijhpm.2023.6858
M3 - Article
AN - SCOPUS:85152729946
SN - 2322-5939
VL - 12
JO - International Journal of Health Policy and Management
JF - International Journal of Health Policy and Management
IS - 1
M1 - 6858
ER -