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      Digital recruitment and enrollment in a remote nationwide trial of screening for undiagnosed atrial fibrillation: Lessons from the randomized, controlled mSToPS trial

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          Abstract

          Objectives

          The advent of large databases, wearable technology, and novel communications methods has the potential to expand the pool of candidate research participants and offer them the flexibility and convenience of participating in remote research. However, reports of their effectiveness are sparse. We assessed the use of various forms of outreach within a nationwide randomized clinical trial being conducted entirely by remote means.

          Methods

          Candidate participants at possibly higher risk for atrial fibrillation were identified by means of a large insurance claims database and invited to participate in the study by their insurance provider. Enrolled participants were randomly assigned to one of two groups testing a wearable sensor device for detection of the arrhythmia.

          Results

          Over 10 months, the various outreach methods used resulted in enrollment of 2659 participants meeting eligibility criteria. Starting with a baseline enrollment rate of 0.8% in response to an email invitation, the recruitment campaign was iteratively optimized to ultimately include website changes and the use of a five-step outreach process (three short, personalized emails and two direct mailers) that highlighted the appeal of new technology used in the study, resulting in an enrollment rate of 9.4%. Messaging that highlighted access to new technology outperformed both appeals to altruism and appeals that highlighted accessing personal health information.

          Conclusions

          Targeted outreach, enrollment, and management of large remote clinical trials is feasible and can be improved with an iterative approach, although more work is needed to learn how to best recruit and retain potential research participants.

          Trial registration

          Clinicaltrials.govNCT02506244. Registered 23 July 2015.

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          Most cited references9

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          Effect of a Home-Based Wearable Continuous ECG Monitoring Patch on Detection of Undiagnosed Atrial Fibrillation

          Opportunistic screening for atrial fibrillation (AF) is recommended, and improved methods of early identification could allow for the initiation of appropriate therapies to prevent the adverse health outcomes associated with AF.
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            Atrial fibrillation: a major contributor to stroke in the elderly. The Framingham Study.

            P A Wolf (1987)
            Chronic atrial fibrillation without valvular disease has been associated with increased stroke incidence. The impact of atrial fibrillation on the risk of stroke with increasing age was examined in 5184 men and women in the Framingham Heart Study. After 30 years of follow-up, chronic atrial fibrillation appeared in 303 persons. Age-specific incidence rates steadily increased from 0.2 per 1000 for ages 30 to 39 years to 39.0 per 1000 for ages 80 to 89 years. The proportion of strokes associated with this arrhythmia was 14.7%, 68 of the total 462 initial strokes, increasing steadily with age from 6.7% for ages 50 to 59 years to 36.2% for ages 80 to 89 years. In contrast to the impact of cardiac failure, coronary heart disease, and hypertension, which declined with age, atrial fibrillation was a significant contributor to stroke at all ages.
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              • Article: not found

              Management of patients with atrial fibrillation (compilation of 2006 ACCF/AHA/ESC and 2011 ACCF/AHA/HRS recommendations): a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines.

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                Author and article information

                Contributors
                Journal
                Contemp Clin Trials Commun
                Contemp Clin Trials Commun
                Contemporary Clinical Trials Communications
                Elsevier
                2451-8654
                07 January 2019
                June 2019
                07 January 2019
                : 14
                : 100318
                Affiliations
                [a ]Scripps Research Translational Institute, 3344 N Torrey Pines Ct, Plaza Level, La Jolla, CA, 92037, USA
                [b ]Wave Research Center, 8330 W Third St, Los Angeles, CA, 90048, USA
                [c ]Healthagen Outcomes, 123 N Wacker Dr STE 650, Chicago, IL, 60606, USA
                [d ]Janssen Scientific Affairs, 1125 Trenton-Harbourton Rd, PO Box 200, Titusville, NJ, 08560, USA
                Author notes
                []Corresponding author. Scripps Research Translational Institute, 3344 North Torrey Pines Ct, Plaza Level, La Jolla, CA, 92037, USA. kbmotes@ 123456scripps.edu
                Article
                S2451-8654(18)30168-6 100318
                10.1016/j.conctc.2019.100318
                6329362
                30656241
                2d232145-58ae-428c-ab9a-bb1e8e98ec30
                © 2019 Published by Elsevier Inc.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 24 October 2018
                : 7 December 2018
                : 5 January 2019
                Categories
                Article

                clinical trials,clinical research,digital technology,remote enrollment,remote monitoring,outreach,af, atrial fibrillation,ecg, electrocardiographic,icf, informed consent form,mstops, mhealth screening to prevent strokes

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