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

Wearables and MHealth Viewpoints (75) mHealth for Data Collection and Research (917) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1317) mHealth for Telemedicine and Homecare (367) mHealth for Wellness, Behavior Change and Prevention (2754)

Published on in Vol 10, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29510, first published .
Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design

Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design

Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design

Authors of this article:

Peter Jaeho Cho1 Author Orcid Image ;   Jaehan Yi1 Author Orcid Image ;   Ethan Ho1 Author Orcid Image ;   Md Mobashir Hasan Shandhi1 Author Orcid Image ;   Yen Dinh1 Author Orcid Image ;   Aneesh Patil1 Author Orcid Image ;   Leatrice Martin2 Author Orcid Image ;   Geetika Singh1 Author Orcid Image ;   Brinnae Bent1 Author Orcid Image ;   Geoffrey Ginsburg3 Author Orcid Image ;   Matthew Smuck4 Author Orcid Image ;   Christopher Woods5 Author Orcid Image ;   Ryan Shaw6 Author Orcid Image ;   Jessilyn Dunn1, 7 Author Orcid Image
Article Authors Cited by (13) Tweetations (3) Metrics

Journals

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  2. Shandhi M, Cho P, Roghanizad A, Singh K, Wang W, Enache O, Stern A, Sbahi R, Tatar B, Fiscus S, Khoo Q, Kuo Y, Lu X, Hsieh J, Kalodzitsa A, Bahmani A, Alavi A, Ray U, Snyder M, Ginsburg G, Pasquale D, Woods C, Shaw R, Dunn J. A method for intelligent allocation of diagnostic testing by leveraging data from commercial wearable devices: a case study on COVID-19. npj Digital Medicine 2022;5(1) View
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  7. Canali S, De Marchi B, Aliverti A. Wearable Technologies and Stress: Toward an Ethically Grounded Approach. International Journal of Environmental Research and Public Health 2023;20(18):6737 View
  8. Petek B, Al-Alusi M, Moulson N, Grant A, Besson C, Guseh J, Wasfy M, Gremeaux V, Churchill T, Baggish A. Consumer Wearable Health and Fitness Technology in Cardiovascular Medicine. Journal of the American College of Cardiology 2023;82(3):245 View
  9. Muurling M, de Boer C, Vairavan S, Harms R, Chadha A, Tarnanas I, Luis E, Religa D, Gjestsen M, Galluzzi S, Ibarria Sala M, Koychev I, Hausner L, Gkioka M, Aarsland D, Visser P, Brem A. Augmented reality versus standard tests to assess cognition and function in early Alzheimer’s disease. npj Digital Medicine 2023;6(1) View
  10. Pappot H, Steen-Olsen E, Holländer-Mieritz C. Experiences with Wearable Sensors in Oncology during Treatment: Lessons Learned from Feasibility Research Projects in Denmark. Diagnostics 2024;14(4):405 View
  11. Steen-Olsen E, Pappot H, Hjerming M, Hanghoej S, Holländer-Mieritz C. Monitoring Adolescent and Young Adult Patients With Cancer via a Smart T-Shirt: Prospective, Single-Cohort, Mixed Methods Feasibility Study (OncoSmartShirt Study). JMIR mHealth and uHealth 2024;12:e50620 View
  12. Armoundas A, Ahmad F, Bennett D, Chung M, Davis L, Dunn J, Narayan S, Slotwiner D, Wiley K, Khera R. Data Interoperability for Ambulatory Monitoring of Cardiovascular Disease: A Scientific Statement From the American Heart Association. Circulation: Genomic and Precision Medicine 2024;17(3) View
  13. Quer G, Coughlin E, Villacian J, Delgado F, Harris K, Verrant J, Gadaleta M, Hung T, Ter Meer J, Radin J, Ramos E, Adams M, Kim L, Chien J, Baca-Motes K, Pandit J, Talantov D, Steinhubl S. Feasibility of wearable sensor signals and self-reported symptoms to prompt at-home testing for acute respiratory viruses in the USA (DETECT-AHEAD): a decentralised, randomised controlled trial. The Lancet Digital Health 2024;6(8):e546 View