Contemporary Practice and Considerations for Real‐World Data Source Identification and Feasibility Assessment

Author:

Patel Dony1ORCID,Guleria Sonia2,Titievsky Lina3,Flaherty Susanna4,Everage Nicholas5,Korjagina Marta6,Porkess Sheuli78,Kou Tzuyung Douglas9,Layton Deborah1011

Affiliation:

1. Global Database Studies Team Real World Solutions IQVIA London UK

2. Epidemiology & Real World Science Parexel International Gothenberg Sweden

3. Epidemiology, Global Regulatory Safety & Quality, GlaxoSmithKline Philadelphia USA

4. Global Database Studies Team Real World Solutions, IQVIA Espoo Finland

5. Epidemiology Biogen Cambridge USA

6. Global Database Studies Team Real World Solutions, IQVIA Tallin Estonia

7. Medical Actaros Consultancy Ltd Newbury UK

8. Precisia C2‐Ai Cambridge UK

9. Clinical Safety and Pharmacovigilance Daiichi Sankyo Basking Ridge USA

10. PEPI Consultancy Ltd Southampton UK

11. School of Life & Medical Sciences University of Hertfordshire Hatfield UK

Abstract

ABSTRACTPurposeThere has been rapid growth in the variety and number of real‐world data (RWD) sources, as well as the number of regulatory documents that provide guidance for assessing the suitability of RWD sources for pharmacoepidemiology studies. This study aims to assess differences in RWD guidance and variability in current practice for identifying and assessing RWD for studies with regulatory purpose.MethodsKey criteria for feasibility assessment were mapped against relevant regulatory guidance documents across US, EU, and Asia‐Pacific regions. An online survey was designed and deployed to International Society for Pharmacoepidemiology members to understand current practice. Findings were summarized and used to inform key considerations and recommendations.ResultsEleven RWD guidance documents were identified and mapped against 14 RWD assessment criteria. Variability was seen across these documents in guidance for these criteria. Between December 2022 and January 2023, 37 survey respondents reported having used RWD for post‐marketing commitments (34, 92%) and/or background epidemiology (28, 76%). RWD were mostly identified through literature (33, 89%) and data landscaping (26, 70%); guidance documents referenced included: Food and Drug Administration (20, 54%), European Network for Centres for Pharmacoepidemiology and Pharmacovigilance (17, 46%), European Medical Agency (16, 43%), and Structured Process to Identify Fit‐For‐Purpose Data (11, 30%). Challenges for conducting feasibility assessments included RWD accessibility, ability to complete validation, and RWD provider responsiveness.ConclusionsExisting guidelines are used extensively by researchers, but key criteria for RWD identification and feasibility assessment are not reflected consistently and challenges remain. Recommendations have been made reflecting study findings.

Funder

International Society for Pharmacoepidemiology

Publisher

Wiley

Reference20 articles.

1. U.S. Food & Drug Administration “Real‐World Data: Assessing Electronic Health Records and Medical Claims Data to Support Regulatory Decision‐Making for Drug and Biological Products Draft Guidance for Industry ” 2021.

2. International Council for Harmonisation (ICH) “International Harmonisation of Real‐World Evidence Terminology and Convergence of General Principles Regarding Planning and Reporting of Studies Using Real‐World Data With a Focus on Effectiveness of Medicines ” 2023 https://admin.ich.org/sites/default/files/2023‐06/ICH_ReflectionPaper_Harmonisation_RWE_Terminology_Endorsed‐ForConsultation_2023_0613.pdf.

3. What Is Real-World Data? A Review of Definitions Based on Literature and Stakeholder Interviews

4. Evaluating the Use of Nonrandomized Real‐World Data Analyses for Regulatory Decision Making

5. US FDA “Considerations for the Use of Real‐World Data and Real‐World Evidence to Support Regulatory Decision‐Making for Drug and Biological Products ” 2023 https://www.fda.gov/regulatory‐information/search‐fda‐guidance‐documents/considerations‐use‐real‐world‐data‐and‐real‐world‐evidence‐support‐regulatory‐decision‐making‐drug.

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