Online Patient Recruitment in Clinical Trials: Systematic Review and Meta-Analysis

Autor: Brøgger-Mikkelsen, Mette, Ali, Zarqa, Zibert, John R, Andersen, Anders Daniel, Thomsen, Simon Francis
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Journal of Medical Internet Research, Vol 22, Iss 11, p e22179 (2020)
Druh dokumentu: article
ISSN: 1438-8871
DOI: 10.2196/22179
Popis: BackgroundRecruitment for clinical trials continues to be a challenge, as patient recruitment is the single biggest cause of trial delays. Around 80% of trials fail to meet the initial enrollment target and timeline, and these delays can result in lost revenue of as much as US $8 million per day for drug developing companies. ObjectiveThis study aimed to conduct a systematic review and meta-analysis examining the effectiveness of online recruitment of participants for clinical trials compared with traditional in-clinic/offline recruitment methods. MethodsData on recruitment rates (the average number of patients enrolled in the study per month and per day of active recruitment) and conversion rates (the percentage of participants screened who proceed to enroll into the clinical trial), as well as study characteristics and patient demographics were collected from the included studies. Differences in online and offline recruitment rates and conversion rates were examined using random effects models. Further, a nonparametric paired Wilcoxon test was used for additional analysis on the cost-effectiveness of online patient recruitment. All data analyses were conducted in R language, and P
Databáze: Directory of Open Access Journals
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