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

Mobile Health (mhealth) (3491) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1745) mHealth for Wellness, Behavior Change and Prevention (3339) Design and Formative Evaluation of Mobile Apps (813) Insomnia and Sleep Hygiene (249)

Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24607, first published .
Framework for the Design Engineering and Clinical Implementation and Evaluation of mHealth Apps for Sleep Disturbance: Systematic Review

Framework for the Design Engineering and Clinical Implementation and Evaluation of mHealth Apps for Sleep Disturbance: Systematic Review

Framework for the Design Engineering and Clinical Implementation and Evaluation of mHealth Apps for Sleep Disturbance: Systematic Review

Authors of this article:

Melissa Aji1 Author Orcid Image ;   Christopher Gordon2, 3 Author Orcid Image ;   Elizabeth Stratton1 Author Orcid Image ;   Rafael A Calvo4 Author Orcid Image ;   Delwyn Bartlett1, 2 Author Orcid Image ;   Ronald Grunstein2, 5 Author Orcid Image ;   Nick Glozier6 Author Orcid Image
Article Authors Cited by (22) Tweetations (13) Metrics

Journals

  1. Liang Z. Context-Aware Sleep Health Recommender Systems (CASHRS): A Narrative Review. Electronics 2022;11(20):3384 View
  2. Alzahrani A, Gay V, Alturki R, AlGhamdi M, Dogra A. Towards Understanding the Usability Attributes of AI-Enabled eHealth Mobile Applications. Journal of Healthcare Engineering 2021;2021:1 View
  3. Simon L, Reimann J, Steubl L, Stach M, Spiegelhalder K, Sander L, Baumeister H, Messner E, Terhorst Y. Help for insomnia from the app store? A standardized rating of mobile health applications claiming to target insomnia. Journal of Sleep Research 2023;32(1) View
  4. Reynaud E, Pottelette J, Rabot J, Rolling J, Royant‐Parola S, Hartley S, Coutelle R, Schröder C. Differential effects of COVID‐related lockdown on sleep–wake rhythms in adults with autism spectrum disorder compared to the general population. Autism Research 2022;15(5):945 View
  5. Arroyo A, Zawadzki M. The Implementation of Behavior Change Techniques in mHealth Apps for Sleep: Systematic Review. JMIR mHealth and uHealth 2022;10(4):e33527 View
  6. Takeuchi H, Suwa K, Kishi A, Nakamura T, Yoshiuchi K, Yamamoto Y. The Effects of Objective Push-Type Sleep Feedback on Habitual Sleep Behavior and Momentary Symptoms in Daily Life: mHealth Intervention Trial Using a Health Care Internet of Things System. JMIR mHealth and uHealth 2022;10(10):e39150 View
  7. Marx W, Manger S, Blencowe M, Murray G, Ho F, Lawn S, Blumenthal J, Schuch F, Stubbs B, Ruusunen A, Desyibelew H, Dinan T, Jacka F, Ravindran A, Berk M, O’Neil A. Clinical guidelines for the use of lifestyle-based mental health care in major depressive disorder: World Federation of Societies for Biological Psychiatry (WFSBP) and Australasian Society of Lifestyle Medicine (ASLM) taskforce. The World Journal of Biological Psychiatry 2023;24(5):333 View
  8. Matthews E, Wang S. Cancer-Related Sleep Wake Disturbances. Seminars in Oncology Nursing 2022;38(1):151253 View
  9. Siebra C, Wac K. Designing ontologies for behaviours based on temporal passive data. Applied Ontology 2023;18(1):71 View
  10. Nuo M, Fang H, Wang T, Liang J, He Y, Han H, Lei J. Understanding the research on tracking, diagnosing, and intervening in sleep disorders using mHealth apps: Bibliometric analysis and systematic reviews. DIGITAL HEALTH 2023;9 View
  11. Ghaben S, Mat Ludin A, Mohamad Ali N, Beng Gan K, Singh D. A framework for design and usability testing of telerehabilitation system for adults with chronic diseases: A panoramic scoping review. DIGITAL HEALTH 2023;9 View
  12. Liang F, Yang X, Peng W, Zhen S, Cao W, Li Q, Xiao Z, Gong M, Wang Y, Gu D. Applications of digital health approaches for cardiometabolic diseases prevention and management in the Western Pacific region. The Lancet Regional Health - Western Pacific 2024;43:100817 View
  13. Rowan A, Magnante A, Urh N, Figueroa L. Cognitive Behavioral Therapy for Insomnia Self-Management Mobile Apps: A Review of Efficacy and Quality. Journal of Clinical Psychology in Medical Settings 2024;31(3):537 View
  14. Lopez-Alcalde J, Wieland L, Yan Y, Barth J, Khami M, Shivalli S, Lokker C, Rai H, Macharia P, Yun S, Lang E, Bwanika Naggirinya A, Campos-Asensio C, Ahmadian L, Witt C. Methodological Challenges in Randomized Controlled Trials of mHealth Interventions: Cross-Sectional Survey Study and Consensus-Based Recommendations. Journal of Medical Internet Research 2024;26:e53187 View
  15. Pelucio L, Quagliato L, Cardoso A, Horato N, Nardi A. Could the use of web-based applications assist in neuropsychiatric treatment? An umbrella review. BMC Psychology 2025;13(1) View
  16. Roberts K, Beckenkamp P, Comachio J, Castrillon C, Silveira A, Ho E, Comis J, Jensen C, Gordon C, Ferreira P. The design process and development of MySleepSolutions - A sleep module for a lifestyle self-management app for low back pain. Health Informatics Journal 2025;31(2) View
  17. Duffy A, Bennett S, Yardley L, Moreno S. Crowdsourcing Remote Co-design Towards Improving the Validity and Reliability of mHealth Application Development – A Case Study on Sleep Solved: A mHealth App Designed Virtually with Teens. EAI Endorsed Transactions on Pervasive Health and Technology 2025;11 View
  18. Müller A, Schaaf J. User or patient/human or person? Development of a practical framework for applying user-centered design to vulnerable populations for digital transformation in healthcare. DIGITAL HEALTH 2025;11 View

Books/Policy Documents

  1. Duffy A, Bennett S, Yardley L, Moreno S. Pervasive Computing Technologies for Healthcare. View
  2. Taple B, Lattie E, Stamatis C. CBT Innovations in Treating Insomnia and Depression. View

Conference Proceedings

  1. Shin J, Peng W, Lee H. CHI Conference on Human Factors in Computing Systems. More than Bedtime and the Bedroom: Sleep Management as a Collaborative Work for the Family View
  2. Shin J, Li T, Peng W, Lee H. Proceedings of the 2023 ACM Designing Interactive Systems Conference. Bedtime Pals: A Deployment Study of Sleep Management Technology for Families with Young Children View