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Trends in Consent for Clinical Trials in Cardiovascular Disease

BACKGROUND: Cardiovascular clinical trials depend on patient enrollment. Enrollment rates appear inadequate, but little is known about how frequently patients accept or decline offers of enrollment. The objective of this study was to assess trends and predictors of patient acceptance of offers to en...

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Detalles Bibliográficos
Autores principales: Kerkhoff, Louis A., Butler, Javed, Kelkar, Anita A., Shore, Supriya, Speight, Candace D., Wall, Louisa K., Dickert, Neal W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4937285/
https://www.ncbi.nlm.nih.gov/pubmed/27317350
http://dx.doi.org/10.1161/JAHA.116.003582
Descripción
Sumario:BACKGROUND: Cardiovascular clinical trials depend on patient enrollment. Enrollment rates appear inadequate, but little is known about how frequently patients accept or decline offers of enrollment. The objective of this study was to assess trends and predictors of patient acceptance of offers to enroll in clinical trials for cardiovascular disease. METHODS AND RESULTS: We utilized an established database containing all randomized, controlled trials (n=1224) in cardiovascular disease published between 2001 and 2012 in the 8 highest‐impact general medical and cardiology journals. Studies were eligible if the number of patients approached and number of patients declining enrollment could be ascertained from published materials. All studies were screened for eligibility. Each eligible study was reviewed by 3 co‐authors. All discrepancies were resolved by the group. The main outcome was acceptance rate, defined as the number of patients enrolled divided by the number patients who were eligible and approached. Only 21.7% (n=266) of studies provided information sufficient to assess patient enrollment and refusals. The median acceptance rate across trials was 83.2%. Significant predictors of higher enrollment included: enrollment in the acute setting (P=0.031); geographical region (P<0.001 for group); and trial sponsorship (P=0.006 for group). CONCLUSIONS: Rates of reporting data sufficient to calculate acceptance rates are low. This compromises the ability to identify drivers of low enrollment and assess trial generalizability. However, the high rates of acceptance observed suggest that factors other than patients’ decisions may be the primary drivers of declining rates of trial enrollment.