Improving Recruitment Into Research Studies via Electronically Collected Patient-Entered Data: Mixed Methods Study
Patient-reported questions assessing research participation likelihood can help identify patients more likely to enroll in clinical studies. This approach enables effective recruitment prioritization while preserving patient autonomy and reducing patient burden. High sensitivity makes these questions valuable as screening tools, although limited specificity suggests use for prioritizing rather than excluding participants. Further validation across different trial types and populations is warranted.
Authors
- W.H. Wilson Tang (ORCID: https://orcid.org/0000-0002-8335-735X)
- Irene Katzan (ORCID: https://orcid.org/0000-0002-9006-7780)
- Brittany Lapin (ORCID: https://orcid.org/0000-0002-4314-2282)
- Benjamin L. Walter (ORCID: https://orcid.org/0000-0002-8323-6873)
- Andrew Schuster (ORCID: https://orcid.org/0000-0002-0907-3199)
- Ryan Honomichl (ORCID: https://orcid.org/0000-0002-0535-4268)
- Robert Feldman
- M.E.M. Allison
- Michelle Gandolf
Institutions
- Cleveland Clinic (US)
- Outcomes Research Consortium (US)
- Meta (United States) (US)
- The Neurological Institute (US)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-10-29
- DOI
- https://doi.org/10.2196/77720
- Primary Topic
- Ethics in Clinical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00