ArticleJournal of the American Board of Family Medicine : JABFM
Using patient monetary incentives and electronically derived patient lists to recruit patients to a clinical trial.
Article in Journal of the American Board of Family Medicine : JABFM. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Strategies to improve recruitment to randomised trials.The Cochrane database of systematic reviews · 2018Pooled it
- Employing computers for the recruitment into clinical trials: a comprehensive systematic review.Journal of medical Internet research · 2014Pooled it
- Mechanism Design of Health Care Blockchain System Token Economy: Development Study Based on Simulated Real-World Scenarios.Journal of medical Internet research · 2021Article
- Contemporary use of real-world data for clinical trial conduct in the United States: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Embedding research recruitment in a community resource e-prescribing system: lessons from an implementation study on Chicago's South Side.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- An initiative using informatics to facilitate clinical research planning and recruitment in the VA health care system.Contemporary clinical trials communications · 2018Article
- Article
- Using e-technologies in clinical trials.Contemporary clinical trials · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
purposeTo report using electronic medical record (EMR) data to identify patients eligible for a clinical trial and the impact of providing an honorarium and deadline on accrual.
methodsSix practices using a common EMR participated in a cluster-randomized trial testing a self-administered, web-based familial risk assessment tool. EMR-derived lists of eligible patients were made available for provider review. An honorarium and deadline for responding in the patient recruitment letter were implemented in the last half of the recruitment process.
resultsWe identified 22,376 potentially eligible patients. Lists not returned by providers accounted for 9840 (44%) patients. We mailed invitations to 11,956 patients; 2398 (20%) requested more information and a consent document, 1489 (12.5%) consented to participate, and 1305 (11%) completed the baseline data collection. Patients receiving the additional $2 and a deadline compared with those receiving the personal invitation alone had significantly higher interest in participating (25% vs. 17%, P = .0001) but were less likely to complete baseline data collection (57% vs. 65% P = .01). Once consented, 85% completed the study with no significant difference by recruitment approach.
conclusionsUsing EMR data reduces the burden to identify potentially eligible patients. However, some providers still did not review and return the lists. Adding a $2 incentive and deadline for responding did not improve the rate of eligible patients consenting and completing the study. Other patient recruitment methods to get better response by providers and population from primary care offices must be explored.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.