Assessment of Real-World Data Sources and a Hybrid Approach in Real-World Evidence Generation Using Unharmonized Data Sources

Author(s)

Toh KC1, Goh CH2, Goh V2, Dong Z2, Dumpala LS2, Maity S2, Wu J3, Kleinman N4, Lee Y2
1IQVIA Solutions Asia Pte Ltd, Singapore, 01, Singapore, 2IQVIA Solutions Asia Pte Ltd, Singapore, Singapore, 3IQVIA Solutions UK Limited, London, UK, 4IQVIA Operations France SAS, La Défense, France

OBJECTIVES: Real-world evidence (RWE) is increasingly used for regulatory, reimbursement, and patient access decisions in Asia-Pacific. RWE has the capability to address similar evidence gaps across different countries within a single study through standardized research methodologies, which enables results to be analyzed and presented holistically. However, the heterogeneity of real-world data sources in Asia-Pacific poses a major challenge to conduct multi-country real-world research using a standardized approach.

METHODS: We evaluated data sources across Asia-Pacific countries to support RWE generation and described a hybrid approach to utilize unharmonized data sources of varying levels of data maturity for multi-country research. Data sources were evaluated based on technical and operational elements: E.g. data availability; data format (charts, electronic records); completeness; access (individual, aggregate-level); consent requirements; and capacity and burden on research team and patients.

RESULTS: We adopted a hybrid-Mosaic Model to harmonize data collected using different methods when a single collection method was not feasible for all data sources. In the Mosaic Model, data was directly extracted and enhanced from electronically structured data sources (e.g. electronic medical records, registries), and transformed using a common data model. For paper-based or electronically unstructured data sources, data was abstracted from medical records and subsequently transformed to the same common data model. The use of a common data model harmonizes the data for analysis and overcomes the challenges faced with unharmonized sources and concerns about data privacy, while ensuring consistency and validity of the research under a single protocol, analysis, and timeline.

Adaptations of data collection methods for specific data sources may be required to ensure that data collected is fit-for-purpose while overcoming the limitations of each data source.

CONCLUSIONS: This hybrid approach was successfully implemented in oncology and metabolic disease studies in Asia-Pacific, enabling variables captured across different unharmonized data sources to be standardized for analysis.

Conference/Value in Health Info

2024-05, ISPOR 2024, Atlanta, GA, USA

Value in Health, Volume 27, Issue 6, S1 (June 2024)

Code

SA68

Topic

Real World Data & Information Systems, Study Approaches

Topic Subcategory

Data Protection, Integrity, & Quality Assurance, Electronic Medical & Health Records, Registries

Disease

No Additional Disease & Conditions/Specialized Treatment Areas

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