How Is Real-World Evidence (RWE) Being Used in Health Technology Assessment (HTA) Decisions? Qualitative Insights from Comparisons of Three RWE Study Types Across Multiple Jurisdictions

Author(s)

Hanisch M1, Johnson CE2, Marsico M2, Ramus C3
1Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA, 2Merck & Co., Inc., Upper Gwynedd, PA, USA, 3IQVIA, Washington, DC, USA

OBJECTIVES: The role of RWE in HTA decisions is not well understood. We investigated the role of three RWE study types (external control, patient-reported outcome [PRO], retrospective/database) in HTA decisions, including commonly cited HTA critiques of RWE.

METHODS: IQVIA’s HTA Accelerator® was used to identify published HTA decisions and develop 49 cases across 17 products. Publicly available reports were reviewed/coded for each case; synthesized findings included the submission contexts, purposes of submitted RWE studies, and whether the RWE studies were deemed fit-for-purpose. Twelve hour-long expert interviews added context to the case review findings.

RESULTS: Many RWE study types have potential roles in HTA decisions, but we found that acceptance of RWE was context-dependent and varied across countries and by the type of scientific question being answered. In our analysis, external control studies contributed to decisions in only 33% of the cases, but did so more frequently than PRO (4%) or other retrospective (0%) studies. Critiques regarding RWE were related to generalizability (inconsistent standard of care, not generalizable to clinical practice, low patient numbers), data quality (completeness/accuracy, mis-defined outcome variables, insufficiently described data), confounding (confounding unmeasured/unjustified, naive comparisons), and data analysis (incorrect adjustment methods, missing/unclear analytical methods). HTA concerns stressed the importance of using country-specific data, aligning to current clinical practice, and submitting complete/sufficiently described RWE.

CONCLUSIONS: Use of RWE in HTA decisions largely depends on study type, specific context of the submission, and meeting HTA expectations regarding confounding, generalizability, and data quality/analysis. While HTA policies regarding RWE highlight these shared basic concerns, RWE planning for HTA is encumbered by a need for greater alignment on specific issues including acceptable study designs and data fitness-for-purpose. Our findings suggest that early and iterative engagement between sponsors and HTA bodies is crucial to ensure that HTA decisions are informed by the highest-quality RWE.

Conference/Value in Health Info

2023-11, ISPOR Europe 2023, Copenhagen, Denmark

Value in Health, Volume 26, Issue 11, S2 (December 2023)

Code

HTA72

Topic

Health Technology Assessment

Topic Subcategory

Decision & Deliberative Processes

Disease

No Additional Disease & Conditions/Specialized Treatment Areas

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