Evaluation of Web-Based and In-Person Methods to Recruit Adults With Type 1 Diabetes for a Mobile Exercise Intervention: Prospective Observational Study
- PMID: 34047700
- PMCID: PMC8299346
- DOI: 10.2196/28309
Evaluation of Web-Based and In-Person Methods to Recruit Adults With Type 1 Diabetes for a Mobile Exercise Intervention: Prospective Observational Study
Abstract
Background: Our clinical trial of a mobile exercise intervention for adults 18 to 65 years old with type 1 diabetes (T1D) occurred during COVID-19 social distancing restrictions, prompting us to test web-based recruitment methods previously underexplored for this demographic.
Objective: Our objectives for this study were to (1) evaluate the effectiveness and cost of using social media news feed advertisements, a clinic-based approach method, and web-based snowball sampling to reach inadequately active adults with T1D and (2) compare characteristics of enrollees against normative data.
Methods: Participants were recruited between November 2019 and August 2020. In method #1, Facebook and Instagram news feed advertisements ran for five 1-to-8-day windows targeting adults (18 to 64 years old) in the greater New Haven and Hartford, Connecticut, areas with one or more diabetes-related profile interest. If interested, participants completed a webform so that the research team could contact them for eligibility screening. In method #2, patients 18 to 24 years old with T1D were approached in person at clinical visits in November and December 2019. Those who were interested immediately completed eligibility screening. Older patients could not be approached due to clinic restrictions. In method #3, snowball sampling was conducted by physically active individuals with T1D contacting their peers on Facebook and via email for 48 days, with details to contact the research staff to express interest and complete eligibility screening. Other methods referred participants to the study similarly to snowball sampling.
Results: In method #1, advertisements were displayed to 11,738 unique viewers and attracted 274 clickers (2.33%); 20 participants from this group (7.3%) volunteered, of whom 8 (40%) were eligible. Costs averaged US $1.20 per click and US $95.88 per eligible volunteer. Men had lower click rates than women (1.71% vs 3.17%; P<.001), but their responsiveness and eligibility rates did not differ. In method #2, we approached 40 patients; 32 of these patients (80%) inquired about the study, of whom 20 (63%) volunteered, and 2 of these volunteers (10%) were eligible. Costs including personnel for in-person approaches averaged US $21.01 per inquirer and US $479.79 per eligible volunteer. In method #3, snowball sampling generated 13 inquirers; 12 of these inquirers (92%) volunteered, of whom 8 (67%) were eligible. Incremental costs to attract inquirers were negligible, and total costs averaged US $20.59 per eligible volunteer. Other methods yielded 7 inquirers; 5 of these inquirers (71%) volunteered, of whom 2 (40%) were eligible. Incremental costs to attract inquirers were negligible, and total costs averaged US $34.94 per eligible volunteer. Demographic overrepresentations emerged in the overall cohort (ie, optimal glycemic control, obesity, and low exercise), among those recruited by news feed advertisements (ie, obesity and older age), and among those recruited by snowball sampling (ie, optimal glycemic control and low exercise).
Conclusions: Web-based advertising and recruitment strategies are a promising means to attract adults with T1D to clinical trials and exercise interventions, with costs comparing favorably to prior trials despite targeting an uncommon condition (ie, T1D) and commitment to an intervention. These strategies should be tailored in future studies to increase access to higher-risk participants.
Trial registration: ClinicalTrials.gov NCT04204733; https://clinicaltrials.gov/ct2/show/NCT04204733.
Keywords: behavior and behavior mechanisms; exercise; mobile phone; type 1 diabetes mellitus.
©Garrett I Ash, Stephanie Griggs, Laura M Nally, Matthew Stults-Kolehmainen, Sangchoon Jeon, Cynthia Brandt, Barbara I Gulanski, Elias K Spanakis, Julien S Baker, Robin Whittemore, Stuart A Weinzimer, Lisa M Fucito. Originally published in JMIR Diabetes (https://diabetes.jmir.org), 08.07.2021.
Conflict of interest statement
Conflicts of Interest: EKS has received unrestricted research support from Dexcom (to the Baltimore VA Medical Center and to the University of Maryland) for the conduction of clinical trials; Dexcom did not support this work monetarily or in-kind. SAW serves as a speaker for Medtronic and as a consultant for Zealand Pharmaceuticals; neither of these entities supported the above study.
Figures
Similar articles
-
Using Web-Based Social Media to Recruit Heavy-Drinking Young Adults for Sleep Intervention: Prospective Observational Study.J Med Internet Res. 2020 Aug 11;22(8):e17449. doi: 10.2196/17449. J Med Internet Res. 2020. PMID: 32780027 Free PMC article.
-
Comparative Success of Recruitment Strategies for an Exercise Intervention Trial Among Women With Polycystic Ovary Syndrome: Observational Study.J Med Internet Res. 2021 Mar 30;23(3):e25208. doi: 10.2196/25208. J Med Internet Res. 2021. PMID: 33783363 Free PMC article. Clinical Trial.
-
Recruiting Participants for Population Health Intervention Research: Effectiveness and Costs of Recruitment Methods for a Cohort Study.J Med Internet Res. 2021 Nov 12;23(11):e21142. doi: 10.2196/21142. J Med Internet Res. 2021. PMID: 34587586 Free PMC article.
-
Can Facebook Be Used for Research? Experiences Using Facebook to Recruit Pregnant Women for a Randomized Controlled Trial.J Med Internet Res. 2016 Sep 21;18(9):e250. doi: 10.2196/jmir.6404. J Med Internet Res. 2016. PMID: 27655184 Free PMC article.
-
Understanding Recruitment Yield From Social Media Advertisements and Associated Costs of a Telehealth Randomized Controlled Trial: Descriptive Study.J Med Internet Res. 2023 May 18;25:e41358. doi: 10.2196/41358. J Med Internet Res. 2023. PMID: 37200067 Free PMC article. Clinical Trial.
Cited by
-
Personalized Digital Health Information to Substantiate Human-Delivered Exercise Support for Adults With Type 1 Diabetes.Clin J Sport Med. 2023 Sep 1;33(5):512-520. doi: 10.1097/JSM.0000000000001078. Epub 2023 Jan 27. Clin J Sport Med. 2023. PMID: 36715983 Free PMC article.
-
Health policy considerations for combining exercise prescription into noncommunicable diseases treatment: a narrative literature review.Front Public Health. 2023 Oct 2;11:1219676. doi: 10.3389/fpubh.2023.1219676. eCollection 2023. Front Public Health. 2023. PMID: 37849722 Free PMC article. Review.
-
Socioeconomic deprivation and cardiometabolic risk factors in individuals with type 1 diabetes: T1D exchange clinic registry.Diabetes Res Clin Pract. 2023 Jan;195:110198. doi: 10.1016/j.diabres.2022.110198. Epub 2022 Dec 10. Diabetes Res Clin Pract. 2023. PMID: 36513270 Free PMC article.
-
A Long-Term Evaluation of Facebook for Recruitment and Retention in the ENDIA Type 1 Diabetes Pregnancy-Birth Cohort Study.J Diabetes Sci Technol. 2023 May;17(3):696-704. doi: 10.1177/19322968221079867. Epub 2022 Feb 22. J Diabetes Sci Technol. 2023. PMID: 35193430 Free PMC article.
-
Going Viral: Assessing the Impact of Social Media on Enrollment in a Coronavirus Disease 2019 (COVID-19) Cohort Study.Cureus. 2024 Mar 13;16(3):e56096. doi: 10.7759/cureus.56096. eCollection 2024 Mar. Cureus. 2024. PMID: 38618422 Free PMC article.
References
-
- Centers for Disease Control and Prevention . National Diabetes Statistics Report, 2020: Estimates of Diabetes and Its Burden in the United States. Altanta, GA: Centers for Disease Control and Prevention, US Department of Health and Human Services; 2020. [2021-02-28]. https://www.cdc.gov/diabetes/pdfs/data/statistics/national-diabetes-stat....
-
- American Diabetes Association 5. Facilitating behavior change and well-being to improve health outcomes: Standards of Medical Care in Diabetes—2021. Diabetes Care. 2021 Jan;44(Suppl 1):S53–S72. doi: 10.2337/dc21-S005. https://care.diabetesjournals.org/content/44/Supplement_1/S53.long - DOI - PubMed
-
- Sporrel K, Nibbeling N, Wang S, Ettema D, Simons M. Unraveling mobile health exercise interventions for adults: Scoping review on the implementations and designs of persuasive strategies. JMIR Mhealth Uhealth. 2021 Jan 18;9(1):e16282. doi: 10.2196/16282. https://mhealth.jmir.org/2021/1/e16282/ - DOI - PMC - PubMed
-
- Wadden TA, Tronieri JS, Butryn ML. Lifestyle modification approaches for the treatment of obesity in adults. Am Psychol. 2020;75(2):235–251. doi: 10.1037/amp0000517. http://europepmc.org/abstract/MED/32052997 - DOI - PMC - PubMed
-
- Thomas JG, Goldstein CM, Bond DS, Lillis J, Hekler EB, Emerson JA, Espel-Huynh HM, Goldstein SP, Dunsiger SI, Evans EW, Butryn ML, Huang J, Wing RR. Evaluation of intervention components to maximize outcomes of behavioral obesity treatment delivered online: A factorial experiment following the multiphase optimization strategy framework. Contemp Clin Trials. 2021 Jan;100:106217. doi: 10.1016/j.cct.2020.106217. - DOI - PMC - PubMed
Associated data
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Miscellaneous