Comparison of Pragmatic and Explanatory Design Characteristics in Influenza Vaccine Trials: A Retrospective Assessment Using PRECIS-2

Randomized controlled trials evaluating the same intervention may generate fundamentally different forms of evidence depending on their design. The Pragmatic-Explanatory Continuum Indicator Summary-2 (PRECIS-2) framework assesses pragmatism across nine trial design domains. We conducted a retrospective methodological comparison of FLUNITY HD, a registry-based pragmatic randomized influenza vaccine trial, and its prior explanatory benchmark trial, FIM12. All PRECIS-2 domains were evaluated using publicly available documentation, with higher scores indicating greater pragmatism. Two investigators independently scored all applicable domains, with discrepancies resolved by consensus. FLUNITY-HD demonstrated consistent pragmatic alignment, with applicable domains scoring 4-5. This was driven by broad eligibility criteria, routine clinical care settings, and registry-based outcome ascertainment to evaluate vaccine effectiveness against hospitalization and severe clinical outcomes. In contrast, FIM12 exhibited highly controlled structures, with domains predominantly scoring 1-2. This explanatory approach included restrictive eligibility criteria, specialized research environments, protocol-mandated surveillance, and laboratory-confirmed endpoints aimed at isolating biological vaccine efficacy under controlled conditions. Comparative application of PRECIS-2 demonstrates that pragmatism is a multidimensional structural property rather than a binary classification. Domain-level assessment clarifies how distinct trial architectures align with different evidentiary priorities and inferential scopes, supporting interpretation and integration of complementary vaccine evidence across regulatory, clinical, and public health decision-making contexts.

Authors

Publication Details

Journal
Yakhak Hoeji
Published
2026-10-30
DOI
https://doi.org/10.17480/psk.2026.70.5.456
Primary Topic
Statistical Methods in Clinical Trials
Type
article
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article

Comparison of Pragmatic and Explanatory Design Characteristics in Influenza Vaccine Trials: A Retrospective Assessment Using PRECIS-2

Young Geun Shin, The Pharmaceutical Society Of Korea, Taein Nam, Youngsoo Kim
1 links
Yakhak Hoeji
Statistical Methods in Clinical Trials
article

Comparison of Pragmatic and Explanatory Design Characteristics in Influenza Vaccine Trials: A Retrospective Assessment Using PRECIS-2

Young Geun Shin, The Pharmaceutical Society Of Korea, Taein Nam, Youngsoo Kim
article en

Abstract

Randomized controlled trials evaluating the same intervention may generate fundamentally different forms of evidence depending on their design. The Pragmatic-Explanatory Continuum Indicator Summary-2 (PRECIS-2) framework assesses pragmatism across nine trial design domains. We conducted a retrospective methodological comparison of FLUNITY HD, a registry-based pragmatic randomized influenza vaccine trial, and its prior explanatory benchmark trial, FIM12. All PRECIS-2 domains were evaluated using publicly available documentation, with higher scores indicating greater pragmatism. Two investigators independently scored all applicable domains, with discrepancies resolved by consensus. FLUNITY-HD demonstrated consistent pragmatic alignment, with applicable domains scoring 4-5. This was driven by broad eligibility criteria, routine clinical care settings, and registry-based outcome ascertainment to evaluate vaccine effectiveness against hospitalization and severe clinical outcomes. In contrast, FIM12 exhibited highly controlled structures, with domains predominantly scoring 1-2. This explanatory approach included restrictive eligibility criteria, specialized research environments, protocol-mandated surveillance, and laboratory-confirmed endpoints aimed at isolating biological vaccine efficacy under controlled conditions. Comparative application of PRECIS-2 demonstrates that pragmatism is a multidimensional structural property rather than a binary classification. Domain-level assessment clarifies how distinct trial architectures align with different evidentiary priorities and inferential scopes, supporting interpretation and integration of complementary vaccine evidence across regulatory, clinical, and public health decision-making contexts.

Yakhak HoejiVol. 70(5)
Good health and well-being
Openalex Percentile: Top 12%
Statistical Methods in Clinical Trials
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Comparison of Pragmatic and Explanatory Design Characteristics in Influenza Vaccine Trials: A Retrospective Assessment Using PRECIS-2 — Young Geun Shin, The Pharmaceutical Society Of Korea, et al. · Yakhak Hoeji (2026) | TGRS Research Map | TGRS