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

Special Issue 2019: Computing and Mental Health (Guest Editors: Torous, Calvo, Wadley, Wolters) (14) mHealth for Wellness, Behavior Change and Prevention (2746) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (362) Depression and Mood Disorders; Suicide Prevention (1283)

Published on in Vol 7, No 1 (2020): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15321, first published .
Functionality of Top-Rated Mobile Apps for Depression: Systematic Search and Evaluation

Functionality of Top-Rated Mobile Apps for Depression: Systematic Search and Evaluation

Functionality of Top-Rated Mobile Apps for Depression: Systematic Search and Evaluation

Authors of this article:

Chengcheng Qu1 Author Orcid Image ;   Corina Sas1 Author Orcid Image ;   Claudia Daudén Roquet1 Author Orcid Image ;   Gavin Doherty2 Author Orcid Image
Article Authors Cited by (44) Tweetations (43) Metrics

Journals

  1. Connolly S, Hogan T, Shimada S, Miller C. Leveraging Implementation Science to Understand Factors Influencing Sustained Use of Mental Health Apps: a Narrative Review. Journal of Technology in Behavioral Science 2021;6(2):184 View
  2. Bubolz S, Mayer G, Gronewold N, Hilbel T, Schultz J. Adherence to Established Treatment Guidelines Among Unguided Digital Interventions for Depression: Quality Evaluation of 28 Web-Based Programs and Mobile Apps. Journal of Medical Internet Research 2020;22(7):e16136 View
  3. Lagan S, Aquino P, Emerson M, Fortuna K, Walker R, Torous J. Actionable health app evaluation: translating expert frameworks into objective metrics. npj Digital Medicine 2020;3(1) View
  4. Ifejika N, Bhadane M, Cai C, Noser E, Grotta J, Savitz S. Use of a Smartphone-Based Mobile App for Weight Management in Obese Minority Stroke Survivors: Pilot Randomized Controlled Trial With Open Blinded End Point. JMIR mHealth and uHealth 2020;8(4):e17816 View
  5. Mehdi M, Stach M, Riha C, Neff P, Dode A, Pryss R, Schlee W, Reichert M, Hauck F. Smartphone and Mobile Health Apps for Tinnitus: Systematic Identification, Analysis, and Assessment. JMIR mHealth and uHealth 2020;8(8):e21767 View
  6. Sun Z, Reani M, Li Q, Ma X. Fostering engagement in technology-mediated stress management: A comparative study of biofeedback designs. International Journal of Human-Computer Studies 2020;140:102430 View
  7. Bowie-DaBreo D, Sünram-Lea S, Sas C, Iles-Smith H. Evaluation of Treatment Descriptions and Alignment With Clinical Guidance of Apps for Depression on App Stores: Systematic Search and Content Analysis. JMIR Formative Research 2020;4(11):e14988 View
  8. Alfaras M, Primett W, Umair M, Windlin C, Karpashevich P, Chalabianloo N, Bowie D, Sas C, Sanches P, Höök K, Ersoy C, Gamboa H. Biosensing and Actuation—Platforms Coupling Body Input-Output Modalities for Affective Technologies. Sensors 2020;20(21):5968 View
  9. Wu A, Scult M, Barnes E, Betancourt J, Falk A, Gunning F. Smartphone apps for depression and anxiety: a systematic review and meta-analysis of techniques to increase engagement. npj Digital Medicine 2021;4(1) View
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  11. Schueller S, Neary M, Lai J, Epstein D. Understanding People’s Use of and Perspectives on Mood-Tracking Apps: Interview Study. JMIR Mental Health 2021;8(8):e29368 View
  12. Martinengo L, Stona A, Tudor Car L, Lee J, Griva K, Car J. Education on Depression in Mental Health Apps: Systematic Assessment of Characteristics and Adherence to Evidence-Based Guidelines. Journal of Medical Internet Research 2022;24(3):e28942 View
  13. Almoallim S, Sas C. Toward Research-Informed Design Implications for Interventions Limiting Smartphone Use: Functionalities Review of Digital Well-being Apps. JMIR Formative Research 2022;6(4):e31730 View
  14. Mayer G, Hummel S, Oetjen N, Gronewold N, Bubolz S, Blankenhagel K, Slawik M, Zarnekow R, Hilbel T, Schultz J. User experience and acceptance of patients and healthy adults testing a personalized self-management app for depression: A non-randomized mixed-methods feasibility study. DIGITAL HEALTH 2022;8:205520762210913 View
  15. Jahedi F, Fay Henman P, Ryan J. Personalization in Digital Psychological Interventions for Young Adults. International Journal of Human–Computer Interaction 2024;40(9):2254 View
  16. Wu X, Xu L, Li P, Tang T, Huang C. Multipurpose Mobile Apps for Mental Health in Chinese App Stores: Content Analysis and Quality Evaluation. JMIR mHealth and uHealth 2022;10(1):e34054 View
  17. Polhemus A, Simblett S, Dawe-Lane E, Gilpin G, Elliott B, Jilka S, Novak J, Nica R, Temesi G, Wykes T. Health Tracking via Mobile Apps for Depression Self-management: Qualitative Content Analysis of User Reviews. JMIR Human Factors 2022;9(4):e40133 View
  18. Mayer G, Hummel S, Gronewold N, Oetjen N, Hilbel T, Schultz J. Validity and Reliability of the Self-administered Psycho-TherApy-SystemS (SELFPASS) Item Pool for the Daily Mood Tracking of Depressive Symptoms: Cross-sectional Web-Based Survey. JMIR Mental Health 2021;8(10):e29615 View
  19. Morton E, Nicholas J, Yang L, Lapadat L, Barnes S, Provencher M, Depp C, Chan M, Kulur R, Michalak E. Evaluating the quality, safety, and functionality of commonly used smartphone apps for bipolar disorder mood and sleep self-management. International Journal of Bipolar Disorders 2022;10(1) View
  20. Teepe G, Da Fonseca A, Kleim B, Jacobson N, Salamanca Sanabria A, Tudor Car L, Fleisch E, Kowatsch T. Just-in-Time Adaptive Mechanisms of Popular Mobile Apps for Individuals With Depression: Systematic App Search and Literature Review. Journal of Medical Internet Research 2021;23(9):e29412 View
  21. Ouellet-Morin I, Robitaille M, Juster R. Applications mobiles pour soutenir la santé mentale des jeunes : opportunités et défis. Santé mentale au Québec 2021;46(1):17 View
  22. Balaskas A, Schueller S, Cox A, Doherty G. The Functionality of Mobile Apps for Anxiety: Systematic Search and Analysis of Engagement and Tailoring Features. JMIR mHealth and uHealth 2021;9(10):e26712 View
  23. Werntz A, Amado S, Jasman M, Ervin A, Rhodes J. Providing Human Support for the Use of Digital Mental Health Interventions: Systematic Meta-review. Journal of Medical Internet Research 2023;25:e42864 View
  24. Andrews J, Craven M, Lang A, Guo B, Morriss R, Hollis C. The impact of data from remote measurement technology on the clinical practice of healthcare professionals in depression, epilepsy and multiple sclerosis: survey. BMC Medical Informatics and Decision Making 2021;21(1) View
  25. Gayler T, Sas C, Kalnikaite V. “It took me back 25 years in one bound”: self-generated flavor-based cues for self-defining memories in later life. Human–Computer Interaction 2023;38(5-6):417 View
  26. Andrews J, Craven M, Lang A, Guo B, Morriss R, Hollis C. Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals. BMC Medical Informatics and Decision Making 2022;22(1) View
  27. Glover J, Ariefdjohan M, Fritsch S. #KidsAnxiety and the Digital World. Child and Adolescent Psychiatric Clinics of North America 2022;31(1):71 View
  28. Khatib R, McCue M, Blair C, Roy A, Franco J, Fehnert B, King J, Sarkey S, Chrones L, Martin M, Kabir C, Kemp D. Design and Implementation of a Digitally Enabled Care Pathway to Improve Management of Depression in a Large Health Care System: Protocol for the Implementation of a Patient Care Platform. JMIR Research Protocols 2023;12:e43788 View
  29. Milton A, Pera M. Into the Unknown: Exploration of Search Engines’ Responses to Users with Depression and Anxiety. ACM Transactions on the Web 2023;17(4):1 View
  30. Liyanagedera N, Hussain A, Singh A, Lal S, Kempton H, Guesgen H. Common spatial pattern for classification of loving kindness meditation EEG for single and multiple sessions. Brain Informatics 2023;10(1) View
  31. McCue M, Khatib R, Kabir C, Blair C, Fehnert B, King J, Spalding A, Zaki L, Chrones L, Roy A, Kemp D. User-Centered Design of a Digitally Enabled Care Pathway in a Large Health System: Qualitative Interview Study. JMIR Human Factors 2023;10:e42768 View
  32. Nadal C, Earley C, Enrique A, Sas C, Richards D, Doherty G. Patient Acceptance of Self-Monitoring on a Smartwatch in a Routine Digital Therapy: A Mixed-Methods Study. ACM Transactions on Computer-Human Interaction 2024;31(1):1 View
  33. Alrizq M, Alghamdi A. Customer satisfaction analysis with Saudi Arabia mobile banking apps: a hybrid approach using text mining and predictive learning techniques. Neural Computing and Applications 2024;36(11):6005 View
  34. Verbeke K, Jain C, Shpendi A, Borry P. Safeguarding Users of Consumer Mental Health Apps in Research and Product Improvement Studies: an Interview Study. Neuroethics 2024;17(1) View
  35. Wüllner S, Hermenau K, Krutkova M, Petras I, Hecker T, Siniatchkin M. Mobile applications in adolescent psychotherapy during the COVID-19 pandemic: a systematic review. Frontiers in Public Health 2024;12 View
  36. Ramos N, Besoain F, Cancino N, Gallardo I, Albornoz P, Fresno A, Spencer R, Schott S, Núñez D, Salgado C, Campos S. Development of a Multiplatform Tool for the Prevention of Prevalent Mental Health Pathologies in Adults: Protocol for a Randomized Control Trial. JMIR Research Protocols 2024;13:e52324 View
  37. Stecher C, Cloonan S, Domino M. The Economics of Treatment for Depression. Annual Review of Public Health 2024;45(1):527 View

Books/Policy Documents

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