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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Apr 1, 2021
Date Accepted: Aug 12, 2021

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

General Practice and Digital Methods to Recruit Stroke Survivors to a Clinical Mobility Study: Comparative Analysis

Reuter K, Liu C, Le N, Angyan P, Finley JM

General Practice and Digital Methods to Recruit Stroke Survivors to a Clinical Mobility Study: Comparative Analysis

J Med Internet Res 2021;23(10):e28923

DOI: 10.2196/28923

PMID: 34643544

PMCID: 8552096

Comparative analysis of general practice and digital methods to recruit stroke survivors to a clinical mobility study

  • Katja Reuter; 
  • Chang Liu; 
  • NamQuyen Le; 
  • Praveen Angyan; 
  • James Micah Finley

ABSTRACT

Background:

Participant recruitment remains a barrier to conducting clinical research. The disabling nature of a stroke, which often includes functional and cognitive impairments, and the acute stage of illness at which patients are appropriate for many trials, make recruiting patients particularly complex and challenging. In addition, people aged 65 years and older, which includes most stroke survivors, have been identified as a disadvantaged group that is commonly underrepresented in health research, particularly clinical trials. Digital media may provide effective tools to support enrollment efforts of stroke survivors in clinical trials.

Objective:

The objective of this study was to compare the effectiveness of general practice and digital methods to recruit stroke survivors to a clinical mobility study.

Methods:

Recruitment for a clinical mobility study began in July 2018. Eligible study participants included individuals 18 years and older who had a single stroke and were currently ambulatory in the community. Standard recruiting practice included calling individuals listed in a stroke registry, contacting local physical therapists, and placing study flyers throughout a University Campus. Between May 21, 2019, and June 26, 2019, the study was also promoted digitally using the social network Facebook and the search engine marketing tool Google AdWords. The recruitment ads included a link to the study page to which users who clicked were referred. Primary outcomes of interest for both conventional and digital methods included recruitment speed (enrollment rate) and sample characteristics. The data were analyzed using the Lilliefors test, Welch’s two-sample t-test, and the Mann-Wittney test. Significance was set at P<0.05. All statistical analyses were performed in Matlab 2019b.

Results:

Our results indicate that digital recruitment methods can address recruitment challenges regarding stroke survivors. Digital recruitment methods allowed us to enroll study participants at a faster rate (1.8 participants/week), compared to using general recruitment practice (0.57 participants/week). Our findings also demonstrate that digital and general recruitment practices can achieve an equivalent level of sample representativeness. The characteristics of the enrolled stroke survivors did not differ significantly by age (P=.95) or clinical scores (P=.22; P=.82). Comparing the cost-effectiveness of Facebook and Google, we found that the use of Facebook resulted in a lower cost per click and cost per enrollee per advertisement.

Conclusions:

Both general practice and digital media recruitment methods will be important to the successful recruitment of stroke survivors. Future studies could focus on testing the effectiveness of additional general practice and digital media approaches and include robust cost-effectiveness analyses. Examining the effectiveness of different messaging and visual approaches tailored to culturally diverse and underrepresented target subgroups could provide further data to move toward evidence-based recruitment strategies.


 Citation

Please cite as:

Reuter K, Liu C, Le N, Angyan P, Finley JM

General Practice and Digital Methods to Recruit Stroke Survivors to a Clinical Mobility Study: Comparative Analysis

J Med Internet Res 2021;23(10):e28923

DOI: 10.2196/28923

PMID: 34643544

PMCID: 8552096

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