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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Jul 7, 2020
Date Accepted: Sep 15, 2020

The final, peer-reviewed published version of this preprint can be found here:

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

Brøgger-Mikkelsen M, Ali Z, Zibert JR, Andersen AD, Thomsen SF

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

J Med Internet Res 2020;22(11):e22179

DOI: 10.2196/22179

PMID: 33146627

PMCID: 7673977

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

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

  • Mette Brøgger-Mikkelsen; 
  • Zarqa Ali; 
  • John R Zibert; 
  • Anders Daniel Andersen; 
  • Simon Francis Thomsen

ABSTRACT

Background:

Recruitment 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 initial enrollment target and timeline, and these delays can result in up to as much as $8 million per day in lost revenue for drug developing companies.

Objective:

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.

Methods:

Data 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 included studies. Differences in online and offline recruitment rates and conversion rates were examined using random effects models. Further, non-parametric paired Wilcoxon test was used for additional analysis on cost-effectiveness of online patient recruitment. All data analysis was conducted in R-Language, and P<.05 was considered significant.

Results:

: In total 3,861 articles were screened for inclusion. Of these, 61 studies were included in the review and 23 of these were further included in the meta analyses. We found online recruitment to be significantly more effective with respect to the recruitment rate for active days of recruitment, where 100% (7/7) of the studies included had a better online recruitment rate compared to offline (IRR 4.17, P = .038). When examining the entire recruitment period in months, however, we found that 52% (12/23) of the studies had a better online compared to offline recruitment rate (IRR 1.11, P = 0.71). For cost-effectiveness we found that online recruitment had a significantly lower cost per enrollee compared to offline recruitment (72 USD vs. 199 USD, P = .04). Finally, we found that 69% of studies had significantly better offline compared to online conversion rates (RR 0.8, P = .02).

Conclusions:

Targeting potential participants using online remedies, is an effective tool for patient recruitment for clinical research. Online recruitment was both superior in regards to time-efficiency and cost-effectiveness compared to offline recruitment strategies. Offline recruitment still outperforms online strategies with respect to conversion rate. Clinical Trial: Not registered.


 Citation

Please cite as:

Brøgger-Mikkelsen M, Ali Z, Zibert JR, Andersen AD, Thomsen SF

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

J Med Internet Res 2020;22(11):e22179

DOI: 10.2196/22179

PMID: 33146627

PMCID: 7673977

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