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

Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (362) Mobile Health (mhealth) (2748) Depression and Mood Disorders; Suicide Prevention (1271)

Published on in Vol 3, No 1 (2015): Jan-Mar

Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace

Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace

Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace

Authors of this article:

Nelson Shen1, 2 Author Orcid Image ;   Michael-Jane Levitan1 Author Orcid Image ;   Andrew Johnson1 Author Orcid Image ;   Jacqueline Lorene Bender3, 4 Author Orcid Image ;   Michelle Hamilton-Page1 Author Orcid Image ;   Alejandro (Alex) R Jadad2, 3, 4 Author Orcid Image ;   David Wiljer1, 2, 5 Author Orcid Image
Article Authors Cited by (203) Tweetations (36) Metrics

Journals

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  126. Terhorst Y, Messner E, Schultchen D, Paganini S, Portenhauser A, Eder A, Bauer M, Papenhoff M, Baumeister H, Sander L. Systematic evaluation of content and quality of English and German pain apps in European app stores. Internet Interventions 2021;24:100376 View
  127. Fagernäs S, Hamilton W, Espinoza N, Miloff A, Carlbring P, Lindner P. What do users think about Virtual Reality relaxation applications? A mixed methods study of online user reviews using natural language processing. Internet Interventions 2021;24:100370 View
  128. Tokgöz P, Hrynyschyn R, Hafner J, Schönfeld S, Dockweiler C. Digital Health Interventions in Prevention, Relapse, and Therapy of Mild and Moderate Depression: Scoping Review. JMIR Mental Health 2021;8(4):e26268 View
  129. Hwang W, Jo H. Development and Effects of Cognitive Behavior-Based Healing Programs Using Mobile Apps. International Journal of Environmental Research and Public Health 2021;18(7):3334 View
  130. Armstrong C, Odukoya E, Sundaramurthy K, Darrow S. Youth and Provider Perspectives on Behavior-Tracking Mobile Apps: Qualitative Analysis. JMIR Mental Health 2021;8(4):e24482 View
  131. Shimony O, Einav N, Bonne O, Jordan J, Van Vleet T, Nahum M. The association between implicit and explicit affective inhibitory control, rumination and depressive symptoms. Scientific Reports 2021;11(1) View
  132. Yuen J, Rusheen A, Price J, Barath A, Shin H, Kouzani A, Berk M, Blaha C, Lee K, Oh Y. Biomarkers for Deep Brain Stimulation in Animal Models of Depression. Neuromodulation: Technology at the Neural Interface 2022;25(2):161 View
  133. Braciszewski J. Digital Technology for Suicide Prevention. Advances in Psychiatry and Behavioral Health 2021;1(1):53 View
  134. McCall T, Ali M, Yu F, Fontelo P, Khairat S. Development of a Mobile App to Support Self-management of Anxiety and Depression in African American Women: Usability Study. JMIR Formative Research 2021;5(8):e24393 View
  135. Tatham I, Clarke E, Grieve K, Kaushal P, Smeddinck J, Millar E, Sharma A. Process and Outcome Evaluations of Smartphone Apps for Bipolar Disorder: Scoping Review. Journal of Medical Internet Research 2022;24(3):e29114 View
  136. Henry N, Donkin L, Williams M, Pedersen M. mHealth Technologies for Managing Problematic Pornography Use: Content Analysis. JMIR Formative Research 2022;6(10):e39869 View
  137. Jurin T, Šoštarić M, Jokić-Begić N, Lauri Korajlija A. mSexHealth: An Overview of Mobile Sexual Health Applications. Journal of Sex & Marital Therapy 2023;49(2):129 View
  138. Shaw Jr G, Nadkarni D, Phann E, Sielaty R, Ledenyi M, Abnowf R, Xu Q, Arredondo P, Chen S. Separating Features From Functionality in Vaccination Apps: Computational Analysis. JMIR Formative Research 2022;6(10):e36818 View
  139. Du Y, Choe S, Vega J, Liu Y, Trujillo A. Listening to Stakeholders Involved in Speech-Language Therapy for Children With Communication Disorders: Content Analysis of Apple App Store Reviews. JMIR Pediatrics and Parenting 2022;5(1):e28661 View
  140. Ménard F, Ouellet-Morin I, Guay S. Efficacité des applications mobiles et des messages textes comme intervention en cybersanté mentale pour les 3 blessures de stress opérationnel les plus fréquentes chez le personnel de la sécurité publique : une recension-cadre. Santé mentale au Québec 2021;46(1):251 View
  141. Wasil A, Palermo E, Lorenzo-Luaces L, DeRubeis R. Is There an App for That? A Review of Popular Apps for Depression, Anxiety, and Well-Being. Cognitive and Behavioral Practice 2022;29(4):883 View
  142. 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
  143. 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
  144. Cheng Z, Greenwood B, Pavlou P. Location-Based Mobile Gaming and Local Depression Trends: A Study of Pokémon Go. Journal of Management Information Systems 2022;39(1):68 View
  145. Meyer J, Okuboyejo S. User Reviews of Depression App Features: Sentiment Analysis. JMIR Formative Research 2021;5(12):e17062 View
  146. Patel B, Edwards T, Schrire T, Barnard K, Sen S. Is the Quality of Mobile Health Applications for Burns Being Adequately Assessed?. Journal of Burn Care & Research 2022;43(4):814 View
  147. Domhardt M, Messner E, Eder A, Engler S, Sander L, Baumeister H, Terhorst Y. Mobile-based interventions for common mental disorders in youth: a systematic evaluation of pediatric health apps. Child and Adolescent Psychiatry and Mental Health 2021;15(1) View
  148. Hernández-Gómez A, Valdés-Florido M, Lahera G, Andrade-González N. Efficacy of Smartphone Apps in Patients With Depressive Disorders: A Systematic Review. Frontiers in Psychiatry 2022;13 View
  149. Evans K, Donelan J, Rennick-Egglestone S, Cox S, Kuipers Y. Review of Mobile Apps for Women With Anxiety in Pregnancy: Maternity Care Professionals’ Guide to Locating and Assessing Anxiety Apps. Journal of Medical Internet Research 2022;24(3):e31831 View
  150. Olff M. Mobile mental health: a challenging research agenda. European Journal of Psychotraumatology 2015;6(1) View
  151. Myin-Germeys I, de Thurah L, Weermeijer J, Bonnier R, van Aubel E, Kiekens G. Digitale technologie in de geestelijke gezondheidszorg: een narratieve review en visietekst op weg naar gepersonaliseerde zorg. Tijdschrift voor Geneeskunde 2022 View
  152. 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
  153. Hegerl U, Oehler C. Promises and risks of web-based interventions in the treatment of depression. Dialogues in Clinical Neuroscience 2020;22(2):161 View
  154. Pacheco C, Scheeringa M. Clinical wisdom in the age of computer apps: a systematic review of four functions that may complement clinical treatment. The Cognitive Behaviour Therapist 2022;15 View
  155. 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
  156. Funnell E, Spadaro B, Martin-Key N, Metcalfe T, Bahn S. mHealth Solutions for Mental Health Screening and Diagnosis: A Review of App User Perspectives Using Sentiment and Thematic Analysis. Frontiers in Psychiatry 2022;13 View
  157. Weitzel E, Quittschalle J, Welzel F, Löbner M, Hauth I, Riedel-Heller S. E-Mental-Health und digitale Gesundheitsanwendungen in Deutschland. Der Nervenarzt 2021;92(11):1121 View
  158. 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
  159. JIN Y, ZHANG Z, ZHENG P, AN J. Telepsychology: Applications, advantages, and challenges. Advances in Psychological Science 2022;30(1):141 View
  160. Lattie E, Stiles-Shields C, Graham A. An overview of and recommendations for more accessible digital mental health services. Nature Reviews Psychology 2022;1(2):87 View
  161. Schnieder M, Williams S. Educational Mobile Apps for Programming in Python: Review and Analysis. Education Sciences 2023;13(1):66 View
  162. Selvaraj S, Sriram A. The Quality of Indian Obesity-Related mHealth Apps: PRECEDE-PROCEED Model–Based Content Analysis. JMIR mHealth and uHealth 2022;10(5):e15719 View
  163. 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
  164. Marshall J, Dunstan D, Bartik W. Smartphone Psychological Therapy During COVID-19: A Study on the Effectiveness of Five Popular Mental Health Apps for Anxiety and Depression. Frontiers in Psychology 2021;12 View
  165. Yokomitsu K, Takashina H, Takebayashi Y, Muranaka S. Cultural Adaptation of the Actionable Health App Evaluation in Japan: Protocol for a Web-Based Modified Delphi Expert Consensus Study. JMIR Research Protocols 2023;12:e44469 View
  166. Guerrero-Jiménez M, Ruiz M, Gutiérrez-Rojas L, Jiménez-Muñoz L, Baca-Garcia E, Porras-Segovia A. Use of new technologies for the promotion of physical activity in patients with mental illness: A systematic review. World Journal of Psychiatry 2023;13(4):182 View
  167. Bakker C, Wyatt T, Breth M, Gao G, Janeway L, Lee M, Martin C, Tiase V. Nurses’ Roles in mHealth App Development: Scoping Review. JMIR Nursing 2023;6:e46058 View
  168. Kheirinejad S, Visuri A, Suryanarayana S, Hosio S. Exploring mHealth applications for self-management of chronic low back pain: A survey of features and benefits. Heliyon 2023;9(6):e16586 View
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Books/Policy Documents

  1. Stein J, Knaevelsrud C. Mental Health of Refugee and Conflict-Affected Populations. View
  2. Hussain J, Lee S. Enhanced Quality of Life and Smart Living. View
  3. Chiou W, Lai S, Huang D. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Healthcare Applications. View
  4. Gratzer D, Khalid-Khan F, Balasingham S. Cognitive Behavioral Therapy and Clinical Applications. View
  5. Dodson J, Preux N, Thang J, Eikey E. Sustainable Digital Communities. View
  6. Chiou W, Kao C, Lo L, Huang D, Wang M, Chen B. Design, User Experience, and Usability: Designing Pleasurable Experiences. View
  7. Park J, Bak H, Ham S, Cho J, Yoon H, Park J, Seo D, Gwon J. HCI International 2016 – Posters' Extended Abstracts. View
  8. Song M, Tabi K, Krausz M. Innovations in Global Mental Health. View
  9. Apolinário-Hagen J, Fritsche L, Albers L, Salewski C. Treatment Resistance in Psychiatry. View
  10. Lindhiem O, Harris J. Technology and Adolescent Mental Health. View
  11. Yoo J, Kim I, Gwon J. HCI International 2017 – Posters' Extended Abstracts. View
  12. Yates D, Islam M. Data Mining. View
  13. McMickens C, Landers A. Pediatric Mental Health for Primary Care Providers. View
  14. Colombo D, Suso-Ribera C, Fernández-Álvarez J, Cipresso P, García-Palacios A, Riva G, Botella C. Comprehensive Clinical Psychology. View
  15. Huang D, Lai S, Lo L, Hong T, Chiou W. HCI International 2020 - Late Breaking Papers: User Experience Design and Case Studies. View
  16. Wang H, Li X. Emotions in Technology Design: From Experience to Ethics. View
  17. Franco P, Olhaberry M, Muzard A, Lara M, Cuijpers P. Prevention and Early Treatment of Depression Through the Life Course. View
  18. Toledo-Rodriguez M, Boillat T. Quantifying Quality of Life. View
  19. Rodrigues J, Oliveira F, Ribeiro C, Santos R. Digital Therapies in Psychosocial Rehabilitation and Mental Health. View
  20. Song M, Tabi K, Krausz M. Innovations in Global Mental Health. View
  21. Guracho Y, Thomas S, Almutairi N, Win K. Persuasive Technology. View