Evidence map›Paper›PMID 37579427›Full record

ArticleInternational journal of health policy and management2023

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.

Sarin Kc, Lydia Wenxin Lin, Diana Beatriz Samson Bayani, Yaroslava Zemlyanska, Amanda Adler, Jeonghoon Ahn, Kelvin Chan, Dechen Choiphel, Anne Julienne Genuino-Marfori, Brendon Kearney and 15 more

Open access · diamondAbstract read
In one paragraph

Article in International journal of health policy and management, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
8.0field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 14 citations in OpenAlex.

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  7. Finding common ground: collaboration to solve 'wicked' problems.International journal of technology assessment in health care · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors at 17 institutions in 13 countries.

Sarin KcHealth Intervention and Technology Assessment Program (HITAP), Ministry of Health, Nonthaburi, Thailand.ORCID 0000-0002-3972-946X
Lydia Wenxin LinSaw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore, Singapore.
Diana Beatriz Samson BayaniSaw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore, Singapore.
Yaroslava ZemlyanskaSaw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore, Singapore.ORCID 0000-0002-4007-2645
Amanda AdlerThe Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, UK.
Jeonghoon AhnEwha Womans University, Seoul, South Korea.
Kelvin ChanSunnybrook Odette Cancer Centre, Toronto, ON, Canada.
Dechen ChoiphelEssential Medicine and Technology Division, Department of Medical Services, Ministry of Health, Thimphu, Bhutan.
Anne Julienne Genuino-MarforiHealth Technology Assessment Unit, Department of Health, Quezon City, Philippines.
Brendon KearneyFaculty of Medicine, University of Adelaide, Adelaide, SA, Australia.
Yuehua LiuChina Health Technology Assessment Centre, National Health Development Research Centre, Ministry of Health, Beijing, China.
Ryota NakamuraHitotsubashi Institute for Advanced Study, Hitotsubashi University, Tokyo, Japan.
Fiona PearceAgency for Care Effectiveness, Ministry of Health, Singapore, Singapore.
Shankar PrinjaDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Raoh-Fang PwuTaiwan National Hepatitis C Program Office, Ministry of Health and Welfare, Taipei, Taiwan.
Arsul Akmal ShafieDiscipline of Social and Administrative Pharmacy, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, Malaysia.ORCID 0000-0002-5629-9270
Binyan SuiChina Health Technology Assessment Centre, National Health Development Research Centre, Ministry of Health, Beijing, China.
Auliya SuwantikaDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, Indonesia.ORCID 0000-0001-8671-2065
Sean TunisCenter for Medical Technology Policy (CMTP), Baltimore, MD, USA.
Hui-Min WuTaiwan National Hepatitis C Program Office, Ministry of Health and Welfare, Taipei, Taiwan.
John ZalcbergCancer Research Program, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Kun ZhaoChina Health Technology Assessment Centre, National Health Development Research Centre, Ministry of Health, Beijing, China.
Wanrudee IsaranuwatchaiHealth Intervention and Technology Assessment Program (HITAP), Ministry of Health, Nonthaburi, Thailand.ORCID 0000-0002-8368-6065
Yot TeerawattananonHealth Intervention and Technology Assessment Program (HITAP), Ministry of Health, Nonthaburi, Thailand.ORCID 0000-0003-2217-2930
Hwee-Lin WeeSaw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore, Singapore.ORCID 0000-0002-7150-1801
China National Health Development Research Center · CNNational University of Singapore · SGMinistry of Health and Welfare · TWNational University Health System · SGCenter for Medical Technology Policy · USEwha Womans University · KRHealth Intervention and Technology Assessment Program · THHitotsubashi University · JPMinistry of Health · SGPadjadjaran University · IDPost Graduate Institute of Medical Education and Research · INSt. Michael's Hospital · CASunnybrook Hospital · CAThe Alfred Hospital · AUThe University of Adelaide · AUUniversiti Sains Malaysia · MYUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, 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

methodsThe 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.

resultsAll 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: (

conclusionThe REALISE guidance document serves to align the collection of better quality RWD and generation of reliable RWE to ultimately inform HTA in Asia.

Indexed as

Policy MakingTechnology Assessment, BiomedicalAsiaHumansResearch DesignSurveys and QuestionnairesAsiaCost-Effectiveness AnalysisHealth Technology AssessmentReal-World DataReal-World EvidenceReimbursement

Identifiers

PMID37579427
PMCPMC10461954
OpenAlexW4321353132

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.