Published on in Vol 2, No 1 (2015): Jan-Mar

Utilizing a Personal Smartphone Custom App to Assess the Patient Health Questionnaire-9 (PHQ-9) Depressive Symptoms in Patients With Major Depressive Disorder

Utilizing a Personal Smartphone Custom App to Assess the Patient Health Questionnaire-9 (PHQ-9) Depressive Symptoms in Patients With Major Depressive Disorder

Utilizing a Personal Smartphone Custom App to Assess the Patient Health Questionnaire-9 (PHQ-9) Depressive Symptoms in Patients With Major Depressive Disorder

Journals

  1. Van Ameringen M, Turna J, Khalesi Z, Pullia K, Patterson B. There is an app for that! The current state of mobile applications (apps) for DSM-5 obsessive-compulsive disorder, posttraumatic stress disorder, anxiety and mood disorders. Depression and Anxiety 2017;34(6):526 View
  2. Lin Y, Chen S, Lin P, Tai A, Pan Y, Hsieh C, Lin S. Assessing User Retention of a Mobile App: Survival Analysis. JMIR mHealth and uHealth 2020;8(11):e16309 View
  3. McLean A. mHealth Apps as Effective Persuasive Health Technology: Contextualizing the “Necessary” Functionalities. JMIR Nursing 2020;3(1):e19302 View
  4. Aledavood T, Triana Hoyos A, Alakörkkö T, Kaski K, Saramäki J, Isometsä E, Darst R. Data Collection for Mental Health Studies Through Digital Platforms: Requirements and Design of a Prototype. JMIR Research Protocols 2017;6(6):e110 View
  5. Lipschitz J, Miller C, Hogan T, Burdick K, Lippin-Foster R, Simon S, Burgess J. Adoption of Mobile Apps for Depression and Anxiety: Cross-Sectional Survey Study on Patient Interest and Barriers to Engagement. JMIR Mental Health 2019;6(1):e11334 View
  6. Song K, Lee S, Yoon W, Kim C, Joo Y, Lee J, Chon M. Developing and Clinical Application of a Smartphone Mobile Mood Chart Application in Korean for Patients with Bipolar Disorder. Journal of Korean Neuropsychiatric Association 2018;57(3):244 View
  7. Czyz E, Horwitz A, Arango A, King C. Short‐term change and prediction of suicidal ideation among adolescents: a daily diary study following psychiatric hospitalization. Journal of Child Psychology and Psychiatry 2019;60(7):732 View
  8. Satre D, Ly K, Wamsley M, Curtis A, Satterfield J. A Digital Tool to Promote Alcohol and Drug Use Screening, Brief Intervention, and Referral to Treatment Skill Translation: A Mobile App Development and Randomized Controlled Trial Protocol. JMIR Research Protocols 2017;6(4):e55 View
  9. Fortuna K, Brooks J, Umucu E, Walker R, Chow P. Peer Support: a Human Factor to Enhance Engagement in Digital Health Behavior Change Interventions. Journal of Technology in Behavioral Science 2019;4(2):152 View
  10. Khazaal Y, Monney G, Richter F, Achab S. « Jeu-contrôle », rationnel d’une application de soutien aux limites de jeux. Journal de Thérapie Comportementale et Cognitive 2017;27(3):129 View
  11. Langer S, Ghosh N, Todd M, Randall A, Romano J, Bricker J, Bolger N, Burns J, Hagan R, Porter L. Usability and Acceptability of a Smartphone App to Assess Partner Communication, Closeness, Mood, and Relationship Satisfaction: Mixed Methods Study. JMIR Formative Research 2020;4(7):e14161 View
  12. Wilson J, Altman R. Biomarkers: Delivering on the expectation of molecularly driven, quantitative health. Experimental Biology and Medicine 2018;243(3):313 View
  13. Prathikanti S, Rivera R, Cochran A, Tungol J, Fayazmanesh N, Weinmann E, Subramanian S. Treating major depression with yoga: A prospective, randomized, controlled pilot trial. PLOS ONE 2017;12(3):e0173869 View
  14. Melamed A, Wright A. Patient Reported Outcomes: Recent Successes and Future Opportunities. Gynecologic Oncology 2018;148(1):1 View
  15. Schuster R, Schreyer M, Kaiser T, Berger T, Klein J, Moritz S, Laireiter A, Trutschnig W. Effects of intense assessment on statistical power in randomized controlled trials: Simulation study on depression. Internet Interventions 2020;20:100313 View
  16. Barrigon M, Courtet P, Oquendo M, Baca-García E. Precision Medicine and Suicide: an Opportunity for Digital Health. Current Psychiatry Reports 2019;21(12) View
  17. Sobowale K, Torous J. Disaster psychiatry in Asia: The potential of smartphones, mobile, and connected technologies. Asian Journal of Psychiatry 2016;22:1 View
  18. Pastor N, Khalilian E, Caballeria E, Morrison D, Sanchez Luque U, Matrai S, Gual A, López-Pelayo H. Remote Monitoring Telemedicine (REMOTE) Platform for Patients With Anxiety Symptoms and Alcohol Use Disorder: Protocol for a Case-Control Study. JMIR Research Protocols 2020;9(6):e16964 View
  19. Kleiman E, Nock M. Advances in Scientific Possibilities Offered by Real-Time Monitoring Technology. Psychiatry 2017;80(2):118 View
  20. Jang S, Woo Y, Hong J, Yoon B, Hwang T, Kim M, Lee S, Bahk W. Use of a smartphone application to screen for depression and suicide in South Korea. General Hospital Psychiatry 2017;46:62 View
  21. Wiederhold B. mHealth Sensors Can Promote Behavior Change and Reduce Healthcare Costs. Cyberpsychology, Behavior, and Social Networking 2015;18(10):559 View
  22. Lee A, Oh M, Park J, Jin S, Hwangbo R, Cho S, Bahn G. Is it Time to Adopt Information Technology in Play Therapy?. Psychoanalysis 2017;28(2):28 View
  23. Kim J, Lim S, Min Y, Shin Y, Lee B, Sohn G, Jung K, Lee J, Son B, Ahn S, Shin S, Lee J. Depression Screening Using Daily Mental-Health Ratings from a Smartphone Application for Breast Cancer Patients. Journal of Medical Internet Research 2016;18(8):e216 View
  24. Czyz E, King C, Nahum-Shani I. Ecological assessment of daily suicidal thoughts and attempts among suicidal teens after psychiatric hospitalization: Lessons about feasibility and acceptability. Psychiatry Research 2018;267:566 View
  25. Carpenter-Song E, Noel V, Acquilano S, Drake R. Real-World Technology Use Among People With Mental Illnesses: Qualitative Study. JMIR Mental Health 2018;5(4):e10652 View
  26. Wright A, Raman N, Staples P, Schonholz S, Cronin A, Carlson K, Keating N, Onnela J. The HOPE Pilot Study: Harnessing Patient-Reported Outcomes and Biometric Data to Enhance Cancer Care. JCO Clinical Cancer Informatics 2018;(2):1 View
  27. Gromatsky M, Sullivan S, Spears A, Mitchell E, Walsh S, Kimbrel N, Goodman M. Ecological momentary assessment (EMA) of mental health outcomes in veterans and servicemembers: A scoping review. Psychiatry Research 2020;292:113359 View
  28. Cote D, Barnett I, Onnela J, Smith T. Digital Phenotyping in Patients with Spine Disease: A Novel Approach to Quantifying Mobility and Quality of Life. World Neurosurgery 2019;126:e241 View
  29. S. Randhawa G, K. Ahern D, W. Hesse B. Information technology-enabled team-based, patient-centered care: The example of depression screening and management in cancer care. Health Policy and Technology 2017;6(1):67 View
  30. Torous J, Onnela J, Keshavan M. New dimensions and new tools to realize the potential of RDoC: digital phenotyping via smartphones and connected devices. Translational Psychiatry 2017;7(3):e1053 View
  31. Fulmer R, Joerin A, Gentile B, Lakerink L, Rauws M. Using Psychological Artificial Intelligence (Tess) to Relieve Symptoms of Depression and Anxiety: Randomized Controlled Trial. JMIR Mental Health 2018;5(4):e64 View
  32. Migoya-Borja M, Delgado-Gómez D, Carmona-Camacho R, Porras-Segovia A, López-Moriñigo J, Sánchez-Alonso M, Albarracín García L, Guerra N, Barrigón M, Alegría M, Baca-García E. Feasibility of a Virtual Reality-Based Psychoeducational Tool (VRight) for Depressive Patients. Cyberpsychology, Behavior, and Social Networking 2020;23(4):246 View
  33. Gratch I, Choo T, Galfalvy H, Keilp J, Itzhaky L, Mann J, Oquendo M, Stanley B. Detecting suicidal thoughts: The power of ecological momentary assessment. Depression and Anxiety 2021;38(1):8 View
  34. Teo C, Ng C, White A, Choo K. What Do Men Want from a Health Screening Mobile App? A Qualitative Study. PLOS ONE 2017;12(1):e0169435 View
  35. Ferreri F, Bourla A, Mouchabac S, Karila L. e-Addictology: An Overview of New Technologies for Assessing and Intervening in Addictive Behaviors. Frontiers in Psychiatry 2018;9 View
  36. Torous J, Kiang M, Lorme J, Onnela J. New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research. JMIR Mental Health 2016;3(2):e16 View
  37. Kaiser T, Laireiter A. DynAMo: A Modular Platform for Monitoring Process, Outcome, and Algorithm-Based Treatment Planning in Psychotherapy. JMIR Medical Informatics 2017;5(3):e20 View
  38. Bourla A, Ferreri F, Ogorzelec L, Peretti C, Guinchard C, Mouchabac S. Psychiatrists' Attitudes Toward Disruptive New Technologies: Mixed-Methods Study. JMIR Mental Health 2018;5(4):e10240 View
  39. Ware S, Yue C, Morillo R, Lu J, Shang C, Bi J, Kamath J, Russell A, Bamis A, Wang B. Predicting depressive symptoms using smartphone data. Smart Health 2020;15:100093 View
  40. DeForte S, Huang Y, Bourgeois T, Hussain S, Lin S. The Association Between App-Administered Depression Assessments and Suicidal Ideation in User Comments: Retrospective Observational Study. JMIR mHealth and uHealth 2020;8(8):e18392 View
  41. Bourla A, Mouchabac S, Ogorzelec L, Guinchard C, Ferreri F. Are student nurses ready for new technologies in mental health? Mixed-methods study. Nurse Education Today 2020;84:104240 View
  42. Price M, Sawyer T, Harris M, Skalka C. Usability Evaluation of a Mobile Monitoring System to Assess Symptoms After a Traumatic Injury: A Mixed-Methods Study. JMIR Mental Health 2016;3(1):e3 View
  43. Torous J, Larsen M, Depp C, Cosco T, Barnett I, Nock M, Firth J. Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps. Current Psychiatry Reports 2018;20(7) View
  44. Torous J, Powell A. Current research and trends in the use of smartphone applications for mood disorders. Internet Interventions 2015;2(2):169 View
  45. Oexle N, Niederkrotenthaler T, DeLeo D. Emerging trends in suicide prevention research. Current Opinion in Psychiatry 2019;32(4):336 View
  46. Colombo D, Fernández-Álvarez J, Patané A, Semonella M, Kwiatkowska M, García-Palacios A, Cipresso P, Riva G, Botella C. Current State and Future Directions of Technology-Based Ecological Momentary Assessment and Intervention for Major Depressive Disorder: A Systematic Review. Journal of Clinical Medicine 2019;8(4):465 View
  47. Dorsey E, Papapetropoulos S, Xiong M, Kieburtz K. The First Frontier: Digital Biomarkers for Neurodegenerative Disorders. Digital Biomarkers 2017;1(1):6 View
  48. Kleiman E, Nock M. Real-time assessment of suicidal thoughts and behaviors. Current Opinion in Psychology 2018;22:33 View
  49. Roberts L, Chan S, Torous J. New tests, new tools: mobile and connected technologies in advancing psychiatric diagnosis. npj Digital Medicine 2018;1(1) View
  50. Bauer A, Baldwin S, Anguera J, Areán P, Atkins D. Comparing Approaches to Mobile Depression Assessment for Measurement-Based Care: Prospective Study. Journal of Medical Internet Research 2018;20(6):e10001 View
  51. Bentley K, Kleiman E, Elliott G, Huffman J, Nock M. Real-time monitoring technology in single-case experimental design research: Opportunities and challenges. Behaviour Research and Therapy 2019;117:87 View
  52. Girolamo G, Barattieri di San Pietro C, Bulgari V, Dagani J, Ferrari C, Hotopf M, Iannone G, Macis A, Matcham F, Myin‐Germeys I, Rintala A, Simblett S, Wykes T, Zarbo C. The acceptability of real‐time health monitoring among community participants with depression: A systematic review and meta‐analysis of the literature. Depression and Anxiety 2020;37(9):885 View
  53. Borrione L, Suen P, Razza L, Santos L, Sudbrack-Oliveira P, Brunoni A. The Flow brain stimulation headset for the treatment of depression: overview of its safety, efficacy and portable design. Expert Review of Medical Devices 2020;17(9):867 View
  54. Aubourg T, Demongeot J, Provost H, Vuillerme N. Circadian Rhythms in the Telephone Calls of Older Adults: Observational Descriptive Study. JMIR mHealth and uHealth 2020;8(2):e12452 View
  55. Bhugra D, Tasman A, Pathare S, Priebe S, Smith S, Torous J, Arbuckle M, Langford A, Alarcón R, Chiu H, First M, Kay J, Sunkel C, Thapar A, Udomratn P, Baingana F, Kestel D, Ng R, Patel A, Picker L, McKenzie K, Moussaoui D, Muijen M, Bartlett P, Davison S, Exworthy T, Loza N, Rose D, Torales J, Brown M, Christensen H, Firth J, Keshavan M, Li A, Onnela J, Wykes T, Elkholy H, Kalra G, Lovett K, Travis M, Ventriglio A. The WPA- Lancet Psychiatry Commission on the Future of Psychiatry. The Lancet Psychiatry 2017;4(10):775 View
  56. Stange J, Kleiman E, Mermelstein R, Trull T. Using ambulatory assessment to measure dynamic risk processes in affective disorders. Journal of Affective Disorders 2019;259:325 View
  57. Moussa Y, Mahdanian A, Yu C, Segal M, Looper K, Vahia I, Rej S. Mobile Health Technology in Late-Life Mental Illness: A Focused Literature Review. The American Journal of Geriatric Psychiatry 2017;25(8):865 View
  58. Hetrick S, Robinson J, Burge E, Blandon R, Mobilio B, Rice S, Simmons M, Alvarez-Jimenez M, Goodrich S, Davey C. Youth Codesign of a Mobile Phone App to Facilitate Self-Monitoring and Management of Mood Symptoms in Young People With Major Depression, Suicidal Ideation, and Self-Harm. JMIR Mental Health 2018;5(1):e9 View
  59. Cao J, Truong A, Banu S, Shah A, Sabharwal A, Moukaddam N. Tracking and Predicting Depressive Symptoms of Adolescents Using Smartphone-Based Self-Reports, Parental Evaluations, and Passive Phone Sensor Data: Development and Usability Study. JMIR Mental Health 2020;7(1):e14045 View
  60. Chung K, Jeon M, Park J, Lee S, Kim C, Park J, Guloksuz S. Development and evaluation of a mobile-optimized daily self-rating depression screening app: A preliminary study. PLOS ONE 2018;13(6):e0199118 View
  61. Lahnakoski J, Forbes P, McCall C, Schilbach L. Unobtrusive tracking of interpersonal orienting and distance predicts the subjective quality of social interactions. Royal Society Open Science 2020;7(8):191815 View
  62. Berrouiguet S, Larsen M, Mesmeur C, Gravey M, Billot R, Walter M, Lemey C, Lenca P. Toward mHealth Brief Contact Interventions in Suicide Prevention: Case Series From the Suicide Intervention Assisted by Messages (SIAM) Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(1):e8 View
  63. Torous J, Firth J, Mueller N, Onnela J, Baker J. Methodology and Reporting of Mobile Health and Smartphone Application Studies for Schizophrenia. Harvard Review of Psychiatry 2017;25(3):146 View
  64. Nahum M, Van Vleet T, Sohal V, Mirzabekov J, Rao V, Wallace D, Lee M, Dawes H, Stark-Inbar A, Jordan J, Biagianti B, Merzenich M, Chang E. Immediate Mood Scaler: Tracking Symptoms of Depression and Anxiety Using a Novel Mobile Mood Scale. JMIR mHealth and uHealth 2017;5(4):e44 View
  65. Jensen R, Gummerson S, Chung A. Overview of Patient-Facing Systems in Patient-Reported Outcomes Collection: Focus and Design in Cancer Care. Journal of Oncology Practice 2016;12(10):873 View
  66. Cormack F, McCue M, Taptiklis N, Skirrow C, Glazer E, Panagopoulos E, van Schaik T, Fehnert B, King J, Barnett J. Wearable Technology for High-Frequency Cognitive and Mood Assessment in Major Depressive Disorder: Longitudinal Observational Study. JMIR Mental Health 2019;6(11):e12814 View
  67. Wu E, Torous J, Hardaway R, Gutheil T. Confidentiality and Privacy for Smartphone Applications in Child and Adolescent Psychiatry. Child and Adolescent Psychiatric Clinics of North America 2017;26(1):117 View
  68. Malhi G, Hamilton A, Morris G, Mannie Z, Das P, Outhred T. The promise of digital mood tracking technologies: are we heading on the right track?. Evidence Based Mental Health 2017;20(4):102 View
  69. Bourla A, Mouchabac S, El Hage W, Ferreri F. e-PTSD: an overview on how new technologies can improve prediction and assessment of Posttraumatic Stress Disorder (PTSD). European Journal of Psychotraumatology 2018;9(sup1) View
  70. Torous J, Staples P, Onnela J. Realizing the Potential of Mobile Mental Health: New Methods for New Data in Psychiatry. Current Psychiatry Reports 2015;17(8) View
  71. Carpenter-Song E. Promoting meaningful recovery with digital mental health care. Epidemiology and Psychiatric Sciences 2020;29 View
  72. Torous J, Roberts L. The Ethical Use of Mobile Health Technology in Clinical Psychiatry. Journal of Nervous & Mental Disease 2017;205(1):4 View
  73. Chung K, Park J, Joung D, Jhung K. Response Time as an Implicit Self-Schema Indicator for Depression Among Undergraduate Students: Preliminary Findings From a Mobile App–Based Depression Assessment. JMIR mHealth and uHealth 2019;7(9):e14657 View
  74. Rathbone A, Prescott J. The Use of Mobile Apps and SMS Messaging as Physical and Mental Health Interventions: Systematic Review. Journal of Medical Internet Research 2017;19(8):e295 View
  75. BinDhim N, Alanazi E, Aljadhey H, Basyouni M, Kowalski S, Pont L, Shaman A, Trevena L, Alhawassi T. Does a Mobile Phone Depression-Screening App Motivate Mobile Phone Users With High Depressive Symptoms to Seek a Health Care Professional’s Help?. Journal of Medical Internet Research 2016;18(6):e156 View
  76. Aledavood T, Lehmann S, Saramäki J. Digital daily cycles of individuals. Frontiers in Physics 2015;3 View
  77. Blease C, Locher C, Leon-Carlyle M, Doraiswamy M. Artificial intelligence and the future of psychiatry: Qualitative findings from a global physician survey. DIGITAL HEALTH 2020;6:205520762096835 View
  78. Worley C, LoSavio S, Aajmain S, Rosen C, Stirman S, Sloan D. Training During a Pandemic: Successes, Challenges, and Practical Guidance From a Virtual Facilitated Learning Collaborative Training Program for Written Exposure Therapy. Journal of Traumatic Stress 2020;33(5):634 View
  79. Mercier H, Hamner J, Torous J, Onnela J, Taylor J. Digital Phenotyping to Quantify Psychosocial Well-Being Trajectories After Spinal Cord Injury. American Journal of Physical Medicine & Rehabilitation 2020;99(12):1138 View
  80. Martin-Key N, Schei T, Barker E, Spadaro B, Funnell E, Benacek J, Tomasik J, Bahn S. The Current State and Diagnostic Accuracy of Digital Mental Health Assessment Tools for Psychiatric Disorders: Protocol for a Systematic Review and Meta-analysis. JMIR Research Protocols 2021;10(1):e25382 View
  81. Montoro M, Arrua-Duarte E, Peñalver-Argüeso B, Migoya-Borja M, Baca-Garcia E, Barrigón M. Comparative study of paper-and-pencil and electronic formats of the Snaith-Hamilton Pleasure Scale. Journal of Health Psychology 2022;27(3):557 View
  82. LaMonica H, Davenport T, Ottavio A, Rowe S, Cross S, Iorfino F, Jackson T, Easton M, Melsness J, Hickie I. Optimising the integration of technology-enabled solutions to enhance primary mental health care: a service mapping study. BMC Health Services Research 2021;21(1) View
  83. Chan E, Sun Y, Aitchison K, Sivapalan S. Mobile App–Based Self-Report Questionnaires for the Assessment and Monitoring of Bipolar Disorder: Systematic Review. JMIR Formative Research 2021;5(1):e13770 View
  84. Patoz M, Hidalgo-Mazzei D, Blanc O, Verdolini N, Pacchiarotti I, Murru A, Zukerwar L, Vieta E, Llorca P, Samalin L. Patient and physician perspectives of a smartphone application for depression: a qualitative study. BMC Psychiatry 2021;21(1) View
  85. Van Tiem J, Moeckli J, Suiter N, Fuhrmeister L, Pham K, Dindo L, Turvey C. “A link to the outside:” Patient perspectives on a mobile texting program to improve depression self-management. Patient Education and Counseling 2021;104(9):2154 View
  86. Rodriguez-Villa E, Naslund J, Keshavan M, Patel V, Torous J. Making mental health more accessible in light of COVID-19: Scalable digital health with digital navigators in low and middle-income countries. Asian Journal of Psychiatry 2020;54:102433 View
  87. Burchert S, Kerber A, Zimmermann J, Knaevelsrud C, Nater-Mewes R. Screening accuracy of a 14-day smartphone ambulatory assessment of depression symptoms and mood dynamics in a general population sample: Comparison with the PHQ-9 depression screening. PLOS ONE 2021;16(1):e0244955 View
  88. Jackman K, Dangerfield D, Yang C, Trent M, Kharrazi H, Johnson R, Latkin C. Behavioral Intentions to Use Patient Portals to Disclose HIV and Other Sexually Transmitted Infection Testing Histories with Sexual Partners Among U.S. Sexual Minority Men. AIDS and Behavior 2021;25(4):1199 View
  89. Carpenter-Song E, Acquilano S, Noel V, Al-Abdulmunem M, Torous J, Drake R. Individualized Intervention to Support Mental Health Recovery Through Implementation of Digital Tools into Clinical Care: Feasibility Study. Community Mental Health Journal 2022;58(1):99 View
  90. Goltermann J, Emden D, Leehr E, Dohm K, Redlich R, Dannlowski U, Hahn T, Opel N. Smartphone-Based Self-Reports of Depressive Symptoms Using the Remote Monitoring Application in Psychiatry (ReMAP): Interformat Validation Study. JMIR Mental Health 2021;8(1):e24333 View
  91. Shalaby R, Vuong W, Hrabok M, Gusnowski A, Mrklas K, Li D, Snaterse M, Surood S, Cao B, Li X, Greiner R, Greenshaw A, Agyapong V. Gender Differences in Satisfaction With a Text Messaging Program (Text4Hope) and Anticipated Receptivity to Technology-Based Health Support During the COVID-19 Pandemic: Cross-sectional Survey Study. JMIR mHealth and uHealth 2021;9(4):e24184 View
  92. Rabasco A, Sheehan K. The Use of Intensive Longitudinal Methods in Research on Suicidal Thoughts and Behaviors: A Systematic Review. Archives of Suicide Research 2022;26(3):1007 View
  93. Kassem L, Alhabib B, Alzunaydi K, Farooqui M. Understanding Patient Needs Regarding Adverse Drug Reaction Reporting Smartphone Applications: A Qualitative Insight from Saudi Arabia. International Journal of Environmental Research and Public Health 2021;18(8):3862 View
  94. Hungerbuehler I, Daley K, Cavanagh K, Garcia Claro H, Kapps M. Chatbot-Based Assessment of Employees’ Mental Health: Design Process and Pilot Implementation. JMIR Formative Research 2021;5(4):e21678 View
  95. Martin-Key N, Spadaro B, Schei T, Bahn S. Proof-of-Concept Support for the Development and Implementation of a Digital Assessment for Perinatal Mental Health: Mixed Methods Study. Journal of Medical Internet Research 2021;23(6):e27132 View
  96. Agyapong V, Shalaby R, Hrabok M, Vuong W, Noble J, Gusnowski A, Mrklas K, Li D, Snaterse M, Surood S, Cao B, Li X, Greiner R, Greenshaw A. Mental Health Outreach via Supportive Text Messages during the COVID-19 Pandemic: Improved Mental Health and Reduced Suicidal Ideation after Six Weeks in Subscribers of Text4Hope Compared to a Control Population. International Journal of Environmental Research and Public Health 2021;18(4):2157 View
  97. Ding E, Pathiravasan C, Schramm E, Borrelli B, Liu C, Trinquart L, Kornej J, Benjamin E, Murabito J, McManus D. Design, deployment, and usability of a mobile system for cardiovascular health monitoring within the electronic Framingham Heart Study. Cardiovascular Digital Health Journal 2021;2(3):171 View
  98. Sedano-Capdevila A, Porras-Segovia A, Bello H, Baca-García E, Barrigon M. Use of Ecological Momentary Assessment to Study Suicidal Thoughts and Behavior: a Systematic Review. Current Psychiatry Reports 2021;23(7) View
  99. Parrish E, Filip T, Torous J, Nebeker C, Moore R, Depp C. Are Mental Health Apps Adequately Equipped to Handle Users in Crisis?. Crisis 2022;43(4):289 View
  100. 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
  101. Taliaz D, Souery D. A New Characterization of Mental Health Disorders Using Digital Behavioral Data: Evidence from Major Depressive Disorder. Journal of Clinical Medicine 2021;10(14):3109 View
  102. Martin-Key N, Mirea D, Olmert T, Cooper J, Han S, Barton-Owen G, Farrag L, Bell E, Eljasz P, Cowell D, Tomasik J, Bahn S. Toward an Extended Definition of Major Depressive Disorder Symptomatology: Digital Assessment and Cross-validation Study. JMIR Formative Research 2021;5(10):e27908 View
  103. Braciszewski J. Digital Technology for Suicide Prevention. Advances in Psychiatry and Behavioral Health 2021;1(1):53 View
  104. Schatten H, Brick L, Holman C, Czyz E. Differential time varying associations among affective states and suicidal ideation among adolescents following hospital discharge. Psychiatry Research 2021;305:114174 View
  105. Kriegshauser K, Sexton C, Bozsik F, Blossom J, Wiese A, Adams Larsen M, Hale L. The Feasibility of a Family-Focused CBT Skills Self-Help App. Cognitive and Behavioral Practice 2024;31(2):230 View
  106. Cheung B, Murphy J, Michalak E, Liu J, Yang X, Wang X, Chen J, Lam R. Barriers and facilitators to technology-enhanced measurement based care for depression among Canadian clinicians and patients: Results of an online survey. Journal of Affective Disorders 2023;320:1 View
  107. Bos F, von Klipstein L, Emerencia A, Veermans E, Verhage T, Snippe E, Doornbos B, Hadders-Prins G, Wichers M, Riese H. A Web-Based Application for Personalized Ecological Momentary Assessment in Psychiatric Care: User-Centered Development of the PETRA Application. JMIR Mental Health 2022;9(8):e36430 View
  108. Silva C, Cero I, Ricci N, Pérez A, Conwell Y, Van Orden K. The feasibility and acceptability of using smartphones to assess suicide risk among Spanish‐speaking adult outpatients. Suicide and Life-Threatening Behavior 2022;52(5):918 View
  109. Choudhary S, Thomas N, Ellenberger J, Srinivasan G, Cohen R. A Machine Learning Approach for Detecting Digital Behavioral Patterns of Depression Using Nonintrusive Smartphone Data (Complementary Path to Patient Health Questionnaire-9 Assessment): Prospective Observational Study. JMIR Formative Research 2022;6(5):e37736 View
  110. Jiménez‐Muñoz L, Gutiérrez‐Rojas L, Porras‐Segovia A, Courtet P, Baca‐García E. Mobile applications for the management of chronic physical conditions: a systematic review. Internal Medicine Journal 2022;52(1):21 View
  111. Chen I, Chen Y, Liao S, Lin Y. Development of Digital Biomarkers of Mental Illness via Mobile Apps for Personalized Treatment and Diagnosis. Journal of Personalized Medicine 2022;12(6):936 View
  112. Chan E, Wallace K, Yang E, Roper L, Aryal G, Lodhi R, Isenberg R, Carnes P, Baskys A, Green B, Aitchison K. The feasibility and acceptability of mobile application-based assessment of suicidality using self-report components of a novel tool, the Suicide Ideation and Behavior Assessment Tool (SIBAT). Psychiatry Research 2022;307:114316 View
  113. Van Assche E, Antoni Ramos-Quiroga J, Pariante C, Sforzini L, Young A, Flossbach Y, Gold S, Hoogendijk W, Baune B, Maron E. Digital tools for the assessment of pharmacological treatment for depressive disorder: State of the art. European Neuropsychopharmacology 2022;60:100 View
  114. Liu Y, Kang K, Doe M. HADD: High-Accuracy Detection of Depressed Mood. Technologies 2022;10(6):123 View
  115. Eis S, Solà-Morales O, Duarte-Díaz A, Vidal-Alaball J, Perestelo-Pérez L, Robles N, Carrion C. Mobile Applications in Mood Disorders and Mental Health: Systematic Search in Apple App Store and Google Play Store and Review of the Literature. International Journal of Environmental Research and Public Health 2022;19(4):2186 View
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  117. Morgiève M, Yasri D, Genty C, Dubois J, Leboyer M, Vaiva G, Berrouiguet S, Azé J, Courtet P. Acceptability and satisfaction with emma, a smartphone application dedicated to suicide ecological assessment and prevention. Frontiers in Psychiatry 2022;13 View
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  119. Shalaby R, Vuong W, Eboreime E, Surood S, Greenshaw A, Agyapong V. Patients’ Expectations and Experiences With a Mental Health–Focused Supportive Text Messaging Program: Mixed Methods Evaluation. JMIR Formative Research 2022;6(1):e33438 View
  120. Jang J, Cho S. Mobile Health (m-health) on Mental Health. Korean Journal of Stress Research 2016;24(4):231 View
  121. Newton L, Knight-West O, Eremenco S, Hudgens S, Crescioni M, Symonds T, Reasner D, Byrom B, O’Donohoe P, Vallow S. Comparability of a provisioned device versus bring your own device for completion of patient-reported outcome measures by participants with chronic obstructive pulmonary disease: qualitative interview findings. Journal of Patient-Reported Outcomes 2022;6(1) View
  122. Leertouwer I, Cramer A, Vermunt J, Schuurman N. A Review of Explicit and Implicit Assumptions When Providing Personalized Feedback Based on Self-Report EMA Data. Frontiers in Psychology 2021;12 View
  123. Leong Q, Sridhar S, Blasiak A, Tadeo X, Yeo G, Remus A, Ho D. Characteristics of Mobile Health Platforms for Depression and Anxiety: Content Analysis Through a Systematic Review of the Literature and Systematic Search of Two App Stores. Journal of Medical Internet Research 2022;24(2):e27388 View
  124. Kivelä L, van der Does W, Riese H, Antypa N. Don't Miss the Moment: A Systematic Review of Ecological Momentary Assessment in Suicide Research. Frontiers in Digital Health 2022;4 View
  125. Perin M, São-João T, Gallani M, Agbadje T, Rodrigues R, Cornélio M. A Mobile Phone App Intervention to Promote Healthy Salt Intake Among Adults: Protocol for a Randomized Controlled Study. JMIR Research Protocols 2022;11(6):e37853 View
  126. Kim H, Park S, Kim Y, Kwon S, Kim H. Ecological momentary assessment of mental health in adults at suicide risk: An observational study protocol. Journal of Advanced Nursing 2022;78(3):883 View
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  130. Moon K, Van Meter A, Kirschenbaum M, Ali A, Kane J, Birnbaum M. Internet Search Activity of Young People With Mood Disorders Who Are Hospitalized for Suicidal Thoughts and Behaviors: Qualitative Study of Google Search Activity. JMIR Mental Health 2021;8(10):e28262 View
  131. Martin-Key N, Spadaro B, Funnell E, Barker E, Schei T, Tomasik J, Bahn S. The Current State and Validity of Digital Assessment Tools for Psychiatry: Systematic Review. JMIR Mental Health 2022;9(3):e32824 View
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  143. Lam S, Xie Q, Goldberg S. Situating Meditation Apps Within the Ecosystem of Meditation Practice: Population-Based Survey Study. JMIR Mental Health 2023;10:e43565 View
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Books/Policy Documents

  1. Chan S, Torous J, Hinton L, Yellowlees P. e-Mental Health. View
  2. Richter J, Kampling C, Schneider M. Patient Reported Outcome Measures in Rheumatic Diseases. View
  3. Rajagopalan A, Ho R. Major Depressive Disorder. View
  4. Pedrelli P, Bentley K, Howe E, Shapero B. The Massachusetts General Hospital Guide to Depression. View
  5. Musyimi C, Lai Y, Mutiso V, Ndetei D. Innovations in Global Mental Health. View
  6. Cheung R. Handbook of Assessment in Mindfulness Research. View
  7. Branquinho M, Martínez-Borba V, Fonseca A. Handbook of Lifespan Cognitive Behavioral Therapy. View
  8. Goularte J, Rosa A. Digital Mental Health. View
  9. Musyimi C, Lai Y, Mutiso V, Ndetei D. Innovations in Global Mental Health. View
  10. Rabasco A, Andover M. Comprehensive Clinical Psychology. View
  11. Pedrelli P, Bentley K, Pittman M, Meyer A, Fisher L. The Massachusetts General Hospital Handbook of Cognitive Behavioral Therapy. View