Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23303, first published .
Acceptability of Intervention Design Factors in mHealth Intervention Research: Experimental Factorial Study

Acceptability of Intervention Design Factors in mHealth Intervention Research: Experimental Factorial Study

Acceptability of Intervention Design Factors in mHealth Intervention Research: Experimental Factorial Study

Authors of this article:

Frank T Materia 1 Author Orcid Image ;   Joshua M Smyth 2 Author Orcid Image

Journals

  1. Villalobos J, Bull S, Portz J. Usability and Acceptability of a Palliative Care Mobile Intervention for Older Adults With Heart Failure and Caregivers: Observational Study. JMIR Aging 2022;5(4):e35592 View
  2. Johnson J, Zawadzki M, Materia F, White A, Smyth J. Efficacy and acceptability of digital stress management micro-interventions. Procedia Computer Science 2022;206:45 View
  3. Stone A, Schneider S, Smyth J, Junghaenel D, Wen C, Couper M, Goldstein S, Gansner M. Shedding light on participant selection bias in Ecological Momentary Assessment (EMA) studies: Findings from an internet panel study. PLOS ONE 2023;18(3):e0282591 View
  4. Stone A, Schneider S, Smyth J, Junghaenel D, Couper M, Wen C, Mendez M, Velasco S, Goldstein S. A population-based investigation of participation rate and self-selection bias in momentary data capture and survey studies. Current Psychology 2024;43(3):2074 View
  5. Liang J, Aranda M. The Use of Telehealth Among People Living With Dementia-Caregiver Dyads During the COVID-19 Pandemic: Scoping Review. Journal of Medical Internet Research 2023;25:e45045 View
  6. Van Bogart K, Johnson J, Nayman S, Nobel J, Smyth J. Iterative Design, Feasibility, and Preliminary Efficacy Testing for the Development of a Cooperative Card Game Intervention to Reduce Loneliness and Foster Social Connection. Games for Health Journal 2023;12(5):377 View
  7. van der Haar S, Raaijmakers I, Verain M, Meijboom S. Consumers’ needs in nutrition apps to start and maintain usage: a mixed methods study (Preprint). JMIR mHealth and uHealth 2022 View
  8. Li Y, Phan H, Law A, Baskys A, Roosan D. Gamification to Improve Medication Adherence: A Mixed-method Usability Study for MedScrab. Journal of Medical Systems 2023;47(1) View
  9. Materia F, Smyth J. Acceptability and concerns about innovative wearable health sensors in persons with and without chronic disease diagnosis. Internet Interventions 2024;35:100702 View
  10. Lee H, Choi E, Shin J, Kim T, Oh J, Shin B, Sim J, Shin J, Kim M. The Impact of Intervention Design on User Engagement in Digital Therapeutics Research: Factorial Experiment With a Mixed Methods Study. JMIR Formative Research 2024;8:e51225 View
  11. Verain M, Raaijmakers I, Meijboom S, van der Haar S. Differences in drivers of healthy eating and nutrition app preferences across motivation-based consumer groups. Food Quality and Preference 2024;116:105145 View
  12. Tung I, Balaji U, Hipwell A, Low C, Smyth J. Feasibility and acceptability of measuring prenatal stress in daily life using smartphone-based ecological momentary assessment and wearable physiological monitors. Journal of Behavioral Medicine 2024 View

Books/Policy Documents

  1. Keller O, Budney A, Struble C, Teepe G. Digital Therapeutics for Mental Health and Addiction. View
  2. Kaladharan S, Dhanya M, Rejikumar G, Puthanpurayil J. Smart Trends in Computing and Communications. View