Barriers encountered during enrollment in an internet-mediated randomized controlled trial

Lorraine R Buis, Adrienne W Janney, Michael L Hess, Silas A Culver, Caroline R Richardson, Lorraine R Buis, Adrienne W Janney, Michael L Hess, Silas A Culver, Caroline R Richardson

Abstract

Background: Online technology is a promising resource for conducting clinical research. While the internet may improve a study's reach, as well as the efficiency of data collection, it may also introduce a number of challenges for participants and investigators. The objective of this research was to determine the challenges that potential participants faced during the enrollment phase of a randomized controlled intervention trial of Stepping Up to Health, an internet-mediated walking program that utilized a multi-step online enrollment process.

Methods: We conducted a quantitative content analysis of 623 help tickets logged in a participant management database during the enrollment phase of a clinical trial investigating the effect of an automated internet-mediated walking intervention. Qualitative coding was performed by two trained coders, and 10% of the sample was coded by both coders to determine inter-coder reliability. Quantitative analyses included standard descriptive statistics on ticket characteristics and theme frequency, and a Poisson regression analysis identified characteristics of potential participants who reported more frequent problems during enrollment.

Results: In total, 880 potential participants visited the study website and 80% completed the enrollment screening. Of the potential participants who visited the study website, 38% had help tickets logged in the participant management database. The total number of help tickets associated with individual potential participants ranged from 0 to 7 (M = .71). Overall, 46% of help tickets were initiated by email and 54% were initiated by phone. The most common help ticket theme was issues related to the study process (48%). The next most prominent theme was discussion related to obtaining medical clearance (34%), followed by issues related to pedometers and uploading (31%). Older individuals, women, and those with lower self-rated internet ability were more likely to report problems during the enrollment process.

Conclusion: Prospective participants in an online clinical trial encountered a number of barriers to enrollment that led them to request help from study staff. Questions about the complex enrollment process itself were common. In a complex multi-step enrollment process, providing personalized feedback to potential participants indicating their status within the enrollment process may be beneficial.

Trial registration: ClinicalTrials.gov NCT00729040.

References

    1. Pew Internet & American Life Project Demographics of internet users
    1. Horrigan JB. Home broadband adoption in 2008
    1. Fox S. Online Health Search 2006: Most internet users start at a search engine when looking for health information online. Very few check the source and date of the information they find
    1. Ahern NR. Using the Internet to conduct research. Nurse Res. 2005;13:55–70.
    1. Murray E, Khadjesari Z, White IR, Kalaitzaki E, Godfrey C, McCambridge J, Thompson SG, Wallace P. Methodological challenges in online trials. J Med Internet Res. 2009;11:e9. doi: 10.2196/jmir.1052.
    1. Dorman K, Saade GR, Smith H, Moise KJ., Jr Use of the World Wide Web in research: randomization in a multicenter clinical trial of treatment for twin-twin transfusion syndrome. Obstet Gynecol. 2000;96:636–639. doi: 10.1016/S0029-7844(00)00978-9.
    1. Cioffi I, Martina R, Michelotti A, Chiodini P, Tagliaferri R, Farella M. Web-based randomised controlled trials in orthodontics. Evid Based Dent. 2008;9:118–120. doi: 10.1038/sj.ebd.6400618.
    1. Scholle SH, Peele PB, Kelleher KJ, Frank E, Jansen-McWilliams L, Kupfer D. Effect of different recruitment sources on the composition of a bipolar disorder case registry. Soc Psychiatry Psychiatr Epidemiol. 2000;35:220–227. doi: 10.1007/s001270050231.
    1. Glasgow RE, Nelson CC, Kearney KA, Reid R, Ritzwoller DP, Strecher VJ, Couper MP, Green B, Wildenhaus K. Reach, engagement, and retention in an Internet-based weight loss program in a multi-site randomized controlled trial. J Med Internet Res. 2007;9:e11. doi: 10.2196/jmir.9.2.e11.
    1. McKay HG, Danaher BG, Seeley JR, Lichtenstein E, Gau JM. Comparing two web-based smoking cessation programs: randomized controlled trial. J Med Internet Res. 2008;10:e40. doi: 10.2196/jmir.993.
    1. Rothert K, Strecher VJ, Doyle LA, Caplan WM, Joyce JS, Jimison HB, Karm LM, Mims AD, Roth MA. Web-based weight management programs in an integrated health care setting: a randomized, controlled trial. Obesity (Silver Spring) 2006;14:266–272. doi: 10.1038/oby.2006.34.
    1. Warmerdam L, van Straten A, Twisk J, Riper H, Cuijpers P. Internet-based treatment for adults with depressive symptoms: randomized controlled trial. J Med Internet Res. 2008;10:e44. doi: 10.2196/jmir.1094.
    1. Devineni T, Blanchard EB. A randomized controlled trial of an internet-based treatment for chronic headache. Behav Res Ther. 2005;43:277–292. doi: 10.1016/j.brat.2004.01.008.
    1. Riffe D, Lacy S, Fico F. Analyzing Media Messages: Using quantitative content analysis in research. 2. Mahwah: Lawrence Erlbaum Publishers; 2005.
    1. Richardson CR, Mehari KS, McIntyre LG, Janney AW, Fortlage LA, Sen A, Strecher VJ, Piette JD. A randomized trial comparing structured and lifestyle goals in an internet-mediated walking program for people with type 2 diabetes. Int J Behav Nutr Phys Act. 2007;4:59. doi: 10.1186/1479-5868-4-59.

Source: PubMed

3
Abonner