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Factors Associated With the Acceleration of Patient Enrollment in Clinical Studies: A Cross-Sectional Study

Under-recruitment in clinical trials is an issue worldwide. If the number of patients enrolled is lower than expected, based on the required sample size, then the reliability of the study results and their validation tend to be impaired. The current study therefore evaluated factors associated with...

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Detalles Bibliográficos
Autores principales: Ueda, Rieko, Nishizaki, Yuji, Nojiri, Shuko, Iwata, Hiroshi, Miyauchi, Katsumi, Matsuyama, Kotone, Sanada, Shoji, Minamino, Tohru, Daida, Hiroyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580154/
https://www.ncbi.nlm.nih.gov/pubmed/34776970
http://dx.doi.org/10.3389/fphar.2021.753067
Descripción
Sumario:Under-recruitment in clinical trials is an issue worldwide. If the number of patients enrolled is lower than expected, based on the required sample size, then the reliability of the study results and their validation tend to be impaired. The current study therefore evaluated factors associated with accelerating patient enrollment using data from an ongoing multicenter prospective cohort study. The researchers encouraged research institutions to accelerate patient enrollment via e-mail, newsletters, telephone calls, and site visits. We analyzed the relationship between several potential factors associated with acceleration of patient enrollment including site visits and patient enrollment in a real clinical study. Data were collected from 106 research institutions that participated in a multicenter prospective cohort study. Results showed that the following parameters differed in terms of patient enrollment and non-enrollment: urban area (47.2 vs. 67.6%, p = 0.04), clinical research coordinator (CRC) participation in data input to electronic data capture (EDC) (41.7 vs. 11.8%, p < 0.01), and site visit (38.9 vs. 11.8%, p < 0.01). A multivariate analysis revealed that patient enrollment was significantly associated with urban area (odds ratio [OR] 0.33, 95% confidence interval [CI] 0.12–0.86, p = 0.02), CRC participation in data input to EDC (OR 5.02; 95% CI 1.49–16.8; p < 0.01), and site visit (OR 4.54, 95% CI 1.31–15.7, p = 0.01). In conclusion, site visits and CRC participation in data input to EDC had a significant effect on patient enrollment promotion. Moreover, hospitals in rural areas were more effective in promoting patient enrollment than those in urban areas.