This paper is in the following e-collection/theme issue:

Innovations in Clinical Trials and Research Data Management (83) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Recruitment of Research Participants (296) Web-based and Mobile Health Interventions (3297)

Published on in Vol 20, No 11 (2018): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11049, first published .
A Practical Do-It-Yourself Recruitment Framework for Concurrent eHealth Clinical Trials: Simple Architecture (Part 1)

A Practical Do-It-Yourself Recruitment Framework for Concurrent eHealth Clinical Trials: Simple Architecture (Part 1)

A Practical Do-It-Yourself Recruitment Framework for Concurrent eHealth Clinical Trials: Simple Architecture (Part 1)

Authors of this article:

Hannah L Palac1, 2 Author Orcid Image ;   Nameyeh Alam2 Author Orcid Image ;   Susan M Kaiser2 Author Orcid Image ;   Jody D Ciolino3 Author Orcid Image ;   Emily G Lattie4 Author Orcid Image ;   David C Mohr2 Author Orcid Image
Article Authors Cited by (10) Tweetations (25) Metrics

Journals

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  2. Mohr D, Lattie E, Tomasino K, Kwasny M, Kaiser S, Gray E, Alam N, Jordan N, Schueller S. A randomized noninferiority trial evaluating remotely-delivered stepped care for depression using internet cognitive behavioral therapy (CBT) and telephone CBT. Behaviour Research and Therapy 2019;123:103485 View
  3. Mohr D, Schueller S, Tomasino K, Kaiser S, Alam N, Karr C, Vergara J, Gray E, Kwasny M, Lattie E. Comparison of the Effects of Coaching and Receipt of App Recommendations on Depression, Anxiety, and Engagement in the IntelliCare Platform: Factorial Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(8):e13609 View
  4. Bracken K, Keech A, Hague W, Allan C, Conway A, Daniel M, Gebski V, Grossmann M, Handelsman D, Inder W, Jenkins A, McLachlan R, Robledo K, Stuckey B, Yeap B, Wittert G. A high-volume, low-cost approach to participant screening and enrolment: Experiences from the T4DM diabetes prevention trial. Clinical Trials 2019;16(6):589 View
  5. Lattie E, Kaiser S, Alam N, Tomasino K, Sargent E, Rubanovich C, Palac H, Mohr D. A Practical Do-It-Yourself Recruitment Framework for Concurrent eHealth Clinical Trials: Identification of Efficient and Cost-Effective Methods for Decision Making (Part 2). Journal of Medical Internet Research 2018;20(11):e11050 View
  6. Graham A, Greene C, Powell T, Lieponis P, Lunsford A, Peralta C, Orr L, Kaiser S, Alam N, Berhane H, Kalan O, Mohr D. Lessons learned from service design of a trial of a digital mental health service: Informing implementation in primary care clinics. Translational Behavioral Medicine 2020;10(3):598 View
  7. von Itzstein M, Hullings M, Mayo H, Beg M, Williams E, Gerber D. Application of Information Technology to Clinical Trial Evaluation and Enrollment. JAMA Oncology 2021;7(10):1559 View
  8. Dharanikota S, LeRouge C, Lyon V, Durneva P, Thompson M. Identifying Enablers of Participant Engagement in Clinical Trials of Consumer Health Technologies: Qualitative Study of Influenza Home Testing. Journal of Medical Internet Research 2021;23(9):e26869 View
  9. Cafaro T, LaRiccia P, Bandomer B, Goldstein H, Brobyn T, Hunter K, Roy S, Ng K, Mitrev L, Tsai A, Thwing D, Maag M, Chung M, van Helmond N. Remote and semi-automated methods to conduct a decentralized randomized clinical trial. Journal of Clinical and Translational Science 2023;7(1) View
  10. Idnay B, Gordon E, Johnson A, Nestor J, Marder K, Weng C. Clinical researchers’ insights on key data for eligibility screening in clinical studies. Journal of Clinical and Translational Science 2024;8(1) View