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ABSTRACT: Background
High patient participation in clinical research reduces selection bias and ensures the generalizability of study findings. We explored study-related factors that may influence patients' willingness to participate in research.Methods
We submitted by mail two vignettes that described clinical research studies - a drug trial and a diagnostic study - to patients recently discharged from hospital and assessed their willingness to participate. We used a factorial design to randomly allocate three study attributes per vignette: in the drug trial, presumed superiority of new drug versus equipoise, public versus industry funding, and random versus non-random treatment allocation; in the diagnostic study, common versus rare disease, genetic versus protein analysis, and automatic reporting of results versus reporting on request.Results
Of 2600 patients contacted, 1140 (44%) participated. Globally, willingness to participate in a drug trial was lower than in a diagnostic study (44.8% vs. 76.2%; P?ConclusionsPatients were more likely to participate in a hypothetical observational diagnostic study than in a hypothetical drug trial. Participation in the trial was lower when clinical equipoise was expressed and when the trial was funded by industry. These results suggest that some features of study design can influence participation.
SUBMITTER: Gayet-Ageron A
PROVIDER: S-EPMC7183682 | biostudies-literature | 2020 Apr
REPOSITORIES: biostudies-literature
Gayet-Ageron Angèle A Rudaz Sandrine S Perneger Thomas T
BMC medical research methodology 20200426 1
<h4>Background</h4>High patient participation in clinical research reduces selection bias and ensures the generalizability of study findings. We explored study-related factors that may influence patients' willingness to participate in research.<h4>Methods</h4>We submitted by mail two vignettes that described clinical research studies - a drug trial and a diagnostic study - to patients recently discharged from hospital and assessed their willingness to participate. We used a factorial design to r ...[more]