Real World DATA Availability and Quality in ASIA Pacific. Assessment and Implications for Research and Healthcare Decision-Making

Author(s)

Monsanto H¹, Salomonsson S², Spiteri C³, van Bavel J⁴
¹Merck Sharp & Dohme IA LLC, Cidra, PR, USA, ²MSD, Stockholm, Sweden, ³MSD, Macquarie Park, NSW, Australia, ⁴MSD, Sydney, NSW, Australia

Presentation Documents

ISPOR AP Poster FINAL.pdf

OBJECTIVES

To gain a deep understanding of the nature and likely future evolution of the Real-World Data (RWD) landscape through identifying, characterising and describing existing healthcare databases, identifying researchers and institutions with expertise in collecting and applying identified RWD sources and outlining in which countries RWD is accepted for healthcare decision making.

METHODS

21 therapy areas and 7 Countries were included: Australia, Hong Kong, India, Singapore, South Korea, Taiwan and Thailand. To identify and characterise RWD sources three steps were undertaken. Firstly, comprehensive desk research using a variety of sources including literature and websites was conducted. Shortlisted sources were triaged, and an initial quality assessment was conducted with further data extraction was performed on sources meeting quality thresholds. Finally, an algorithm was applied to assess utility of RWD sources for study types. Qualitative, in-depth interviews were conducted with payers to assess payer preferences for RWE in each Country.

RESULTS

104 high quality data sources were identified, and the three main types include claims, electronic medical records and administrative data. There are also several pan-AP sources that enable access to data across multiple countries. The RWD landscape in AP varies greatly with each country having its own unique attributes. Gaps and barriers to RWE use in the majority of countries are the absence of disease specific sources routinely collecting information on patient reported outcomes (PRO’s) and access to data sources to stakeholders other than government and academics. Payers across most markets indicated positive perceptions of RWE.

CONCLUSIONS

Opportunities to improve the quality of RWD sources include centralization of existing data sources, expanded presence of EMR, and increased collection of PROs and National level representative data. Regulatory frameworks to protect personal data should be built in a way that enables research by a wide range of stakeholders.

Conference/Value in Health Info

2020-09, ISPOR Asia Pacific 2020, Seoul, South Korea

Value in Health Regional, Volume 22S (September 2020)

Code

PMU29

Topic

Real World Data & Information Systems

Topic Subcategory

Data Protection, Integrity, & Quality Assurance, Distributed Data & Research Networks, Health & Insurance Records Systems

Disease

Multiple Diseases

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Presentation