Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18346, first published .
Technology Evaluation and Assessment Criteria for Health Apps (TEACH-Apps): Pilot Study

Technology Evaluation and Assessment Criteria for Health Apps (TEACH-Apps): Pilot Study

Technology Evaluation and Assessment Criteria for Health Apps (TEACH-Apps): Pilot Study

Journals

  1. Rodriguez-Villa E, Camacho E, Torous J. Psychiatric rehabilitation through teaching smartphone skills to improve functional outcomes in serious mental illness. Internet Interventions 2021;23:100366 View
  2. Li H, Yang S, Chi H, Xu L, Zhang T, Singleton G, Tang Y, Stone W, Wang J. Enhancing attention and memory of individuals at clinical high risk for psychosis with mHealth technology. Asian Journal of Psychiatry 2021;58:102587 View
  3. Lagan S, Emerson M, King D, Matwin S, Chan S, Proctor S, Tartaglia J, Fortuna K, Aquino P, Walker R, Dirst M, Benson N, Myrick K, Tatro N, Gratzer D, Torous J. Mental Health App Evaluation: Updating the American Psychiatric Association’s Framework Through a Stakeholder-Engaged Workshop. Psychiatric Services 2021;72(9):1095 View
  4. Montgomery R, Brandysky L, Neary M, Eikey E, Mark G, Schneider M, Stadnick N, Zheng K, Mukamel D, Sorkin D, Schueller S. Curating the Digital Mental Health Landscape With a Guide to Behavioral Health Apps: A County-Driven Resource. Psychiatric Services 2021;72(10):1229 View
  5. Ismond K, Eslamparast T, Farhat K, Stickland M, Spence J, Bailey R, Abraldes J, Spiers J, Tandon P. Assessing Patient Proficiency with Internet-Connected Technology and Their Preferences for E-Health in Cirrhosis. Journal of Medical Systems 2021;45(7) View
  6. Lantzsch H, Panteli D, Martino F, Stephani V, Seißler D, Püschel C, Knöppler K, Busse R. Benefit Assessment and Reimbursement of Digital Health Applications: Concepts for Setting Up a New System for Public Coverage. Frontiers in Public Health 2022;10 View
  7. Kılınç D, Kırcelli B, Sadry S, Karaman A. Evaluation and comparison of smartphone application tracing, web based artificial intelligence tracing and conventional hand tracing methods. Journal of Stomatology, Oral and Maxillofacial Surgery 2022;123(6):e906 View
  8. Jacob C, Lindeque J, Klein A, Ivory C, Heuss S, Peter M. Assessing the Quality and Impact of eHealth Tools: Systematic Literature Review and Narrative Synthesis. JMIR Human Factors 2023;10:e45143 View
  9. Quach S, Benoit A, Oliveira A, Packham T, Goldstein R, Brooks D. Features and characteristics of publicly available mHealth apps for self-management in chronic obstructive pulmonary disease. DIGITAL HEALTH 2023;9:205520762311670 View
  10. Hyzy M, Bond R, Mulvenna M, Bai L, Dix A, Daly R, Frey A, Leigh S. Quality of Digital Health Interventions Across Different Health Care Domains: Secondary Data Analysis Study. JMIR mHealth and uHealth 2023;11:e47043 View
  11. Chen K, Lane E, Burns J, Macrynikola N, Chang S, Torous J. The Digital Navigator: Standardizing Human Technology Support in App-Integrated Clinical Care. Telemedicine and e-Health 2024 View
  12. Ryan C, Vanderburg M, Chugh R, Johnston K, Clapperton R, Bond K, Flanders M, James C. Mobile applications in nursing science education: A scoping review with snowballing method. Nurse Education Today 2024;138:106215 View
  13. Giebel G, Speckemeier C, Schrader N, Abels C, Plescher F, Hillerich V, Wiedemann D, Börchers K, Wasem J, Blase N, Neusser S. Quality assessment of mHealth apps: a scoping review. Frontiers in Health Services 2024;4 View