» Articles » PMID: 37579427

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

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 World Data n Aia for Halth 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: () sources and types of RWD being used in HTA, and () 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.

Citing Articles

Real-world evidence of characteristics and factors influencing herbal medicine use for weight loss in adults.

Lee B, Yang C, Yim M Front Pharmacol. 2024; 15:1437032.

PMID: 39081960 PMC: 11286466. DOI: 10.3389/fphar.2024.1437032.


Bridging Real-World Data Gaps: Connecting Dots Across 10 Asian Countries.

Julian G, Shau W, Chou H, Setia S JMIR Med Inform. 2024; 12:e58548.

PMID: 39026427 PMC: 11362708. DOI: 10.2196/58548.


An operationalization framework for lifecycle health technology assessment: a Health Technology Assessment International Global Policy Forum Task Force report.

Pichler F, Boysen M, Mittmann N, Gilardino R, Bruce A, Bond K Int J Technol Assess Health Care. 2024; 40(1):e45.

PMID: 38751240 PMC: 11569903. DOI: 10.1017/S0266462324000199.


Integrated Real-World Data Warehouses Across 7 Evolving Asian Health Care Systems: Scoping Review.

Shau W, Santoso H, Jip V, Setia S J Med Internet Res. 2024; 26:e56686.

PMID: 38749399 PMC: 11200047. DOI: 10.2196/56686.


Real-world utilization and healthcare costs for multiple myeloma: A retrospective analysis of patients in Singapore.

Bayani D, Lin Y, Ooi M, Tso A, Wee H EJHaem. 2023; 4(4):1013-1018.

PMID: 38024607 PMC: 10660121. DOI: 10.1002/jha2.798.

References
1.
Xoxi E, Rumi F, Kanavos P, Dauben H, Gutierrez-Ibarluzea I, Wong O . A Proposal for Value-Based Managed Entry Agreements in an Environment of Technological Change and Economic Challenge for Publicly Funded Healthcare Systems. Front Med Technol. 2022; 4:888404. PMC: 9245041. DOI: 10.3389/fmedt.2022.888404. View

2.
Orsini L, Berger M, Crown W, Daniel G, Eichler H, Goettsch W . Improving Transparency to Build Trust in Real-World Secondary Data Studies for Hypothesis Testing-Why, What, and How: Recommendations and a Road Map from the Real-World Evidence Transparency Initiative. Value Health. 2020; 23(9):1128-1136. DOI: 10.1016/j.jval.2020.04.002. View

3.
Ahmed S, Hasan M, MacLennan M, Dorin F, Ahmed M, Hasan M . Measuring the efficiency of health systems in Asia: a data envelopment analysis. BMJ Open. 2019; 9(3):e022155. PMC: 6475137. DOI: 10.1136/bmjopen-2018-022155. View

4.
Garrison Jr L, Neumann P, Erickson P, Marshall D, Daniel Mullins C . Using real-world data for coverage and payment decisions: the ISPOR Real-World Data Task Force report. Value Health. 2007; 10(5):326-35. DOI: 10.1111/j.1524-4733.2007.00186.x. View

5.
Nordo A, Levaux H, Becnel L, Galvez J, Rao P, Stem K . Use of EHRs data for clinical research: Historical progress and current applications. Learn Health Syst. 2019; 3(1):e10076. PMC: 6508843. DOI: 10.1002/lrh2.10076. View