Published on 24.03.15 in Vol 2, No 1 (2015): Jan-Mar
Works citing "Utilizing a Personal Smartphone Custom App to Assess the Patient Health Questionnaire-9 (PHQ-9) Depressive Symptoms in Patients With Major Depressive Disorder"
According to Crossref, the following articles are citing this article (DOI 10.2196/mental.3889):
(note that this is only a small subset of citations)
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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
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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
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. mHealth Apps as Effective Persuasive Health Technology: Contextualizing the “Necessary” Functionalities. JMIR Nursing 2020;3(1):e19302
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Aledavood T, Triana Hoyos AM, Alakörkkö T, Kaski K, Saramäki J, Isometsä E, Darst RK. Data Collection for Mental Health Studies Through Digital Platforms: Requirements and Design of a Prototype. JMIR Research Protocols 2017;6(6):e110
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Lipschitz J, Miller CJ, Hogan TP, Burdick KE, Lippin-Foster R, Simon SR, 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
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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
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Czyz EK, Horwitz AG, Arango A, King CA. 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
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Satre DD, 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
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Fortuna KL, Brooks JM, Umucu E, Walker R, Chow PI. Peer Support: a Human Factor to Enhance Engagement in Digital Health Behavior Change Interventions. Journal of Technology in Behavioral Science 2019;4(2):152
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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
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Langer SL, Ghosh N, Todd M, Randall AK, Romano JM, Bricker JB, Bolger N, Burns JW, Hagan RC, Porter LS. 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
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Wilson JL, Altman RB. Biomarkers: Delivering on the expectation of molecularly driven, quantitative health. Experimental Biology and Medicine 2018;243(3):313
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Prathikanti S, Rivera R, Cochran A, Tungol JG, Fayazmanesh N, Weinmann E, Subramanian SK. Treating major depression with yoga: A prospective, randomized, controlled pilot trial. PLOS ONE 2017;12(3):e0173869
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Melamed A, Wright AA. Patient Reported Outcomes: Recent Successes and Future Opportunities. Gynecologic Oncology 2018;148(1):1
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Schuster R, Schreyer ML, Kaiser T, Berger T, Klein JP, 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
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Barrigon ML, Courtet P, Oquendo M, Baca-García E. Precision Medicine and Suicide: an Opportunity for Digital Health. Current Psychiatry Reports 2019;21(12)
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Sobowale K, Torous J. Disaster psychiatry in Asia: The potential of smartphones, mobile, and connected technologies. Asian Journal of Psychiatry 2016;22:1
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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
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Kleiman EM, Nock MK. Advances in Scientific Possibilities Offered by Real-Time Monitoring Technology. Psychiatry 2017;80(2):118
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Jang S, Woo YS, 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
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. mHealth Sensors Can Promote Behavior Change and Reduce Healthcare Costs. Cyberpsychology, Behavior, and Social Networking 2015;18(10):559
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Lee A, Oh MA, Park JC, Jin SY, Hwangbo R, Cho SW, Bahn GH. Is it Time to Adopt Information Technology in Play Therapy?. Psychoanalysis 2017;28(2):28
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Kim J, Lim S, Min YH, Shin Y, Lee B, Sohn G, Jung KH, Lee J, Son BH, Ahn SH, Shin S, Lee JW. Depression Screening Using Daily Mental-Health Ratings from a Smartphone Application for Breast Cancer Patients. Journal of Medical Internet Research 2016;18(8):e216
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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
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Carpenter-Song E, Noel VA, Acquilano SC, Drake RE. Real-World Technology Use Among People With Mental Illnesses: Qualitative Study. JMIR Mental Health 2018;5(4):e10652
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Wright AA, Raman N, Staples P, Schonholz S, Cronin A, Carlson K, Keating NL, Onnela J. The HOPE Pilot Study: Harnessing Patient-Reported Outcomes and Biometric Data to Enhance Cancer Care. JCO Clinical Cancer Informatics 2018;(2):1
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Gromatsky M, Sullivan SR, Spears AP, Mitchell E, Walsh S, Kimbrel NA, Goodman M. Ecological momentary assessment (EMA) of mental health outcomes in veterans and servicemembers: A scoping review. Psychiatry Research 2020;292:113359
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Cote DJ, Barnett I, Onnela J, Smith TR. Digital Phenotyping in Patients with Spine Disease: A Novel Approach to Quantifying Mobility and Quality of Life. World Neurosurgery 2019;126:e241
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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
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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
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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
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Migoya-Borja M, Delgado-Gómez D, Carmona-Camacho R, Porras-Segovia A, López-Moriñigo J, Sánchez-Alonso M, Albarracín García L, Guerra N, Barrigón ML, 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
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Gratch I, Choo T, Galfalvy H, Keilp JG, Itzhaky L, Mann JJ, Oquendo MA, Stanley B. Detecting suicidal thoughts: The power of ecological momentary assessment. Depression and Anxiety 2021;38(1):8
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Teo CH, Ng CJ, White A, Choo KR. What Do Men Want from a Health Screening Mobile App? A Qualitative Study. PLOS ONE 2017;12(1):e0169435
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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
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Torous J, Kiang MV, 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
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Kaiser T, Laireiter AR. DynAMo: A Modular Platform for Monitoring Process, Outcome, and Algorithm-Based Treatment Planning in Psychotherapy. JMIR Medical Informatics 2017;5(3):e20
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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
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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
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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
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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
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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
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Torous J, Larsen ME, Depp C, Cosco TD, Barnett I, Nock MK, 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)
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Torous J, Powell AC. Current research and trends in the use of smartphone applications for mood disorders. Internet Interventions 2015;2(2):169
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Oexle N, Niederkrotenthaler T, DeLeo D. Emerging trends in suicide prevention research. Current Opinion in Psychiatry 2019;32(4):336
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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
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Dorsey E, Papapetropoulos S, Xiong M, Kieburtz K. The First Frontier: Digital Biomarkers for Neurodegenerative Disorders. Digital Biomarkers 2017;1(1):6
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Kleiman EM, Nock MK. Real-time assessment of suicidal thoughts and behaviors. Current Opinion in Psychology 2018;22:33
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Roberts LW, Chan S, Torous J. New tests, new tools: mobile and connected technologies in advancing psychiatric diagnosis. npj Digital Medicine 2018;1(1)
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Bauer AM, Baldwin SA, Anguera JA, Areán PA, Atkins DC. Comparing Approaches to Mobile Depression Assessment for Measurement-Based Care: Prospective Study. Journal of Medical Internet Research 2018;20(6):e10001
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Bentley KH, Kleiman EM, Elliott G, Huffman JC, Nock MK. Real-time monitoring technology in single-case experimental design research: Opportunities and challenges. Behaviour Research and Therapy 2019;117:87
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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
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Borrione L, Suen PJC, Razza LB, Santos LAD, Sudbrack-Oliveira P, Brunoni AR. 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
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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
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Bhugra D, Tasman A, Pathare S, Priebe S, Smith S, Torous J, Arbuckle MR, Langford A, Alarcón RD, Chiu HFK, First MB, Kay J, Sunkel C, Thapar A, Udomratn P, Baingana FK, Kestel D, Ng RMK, Patel A, Picker LD, McKenzie KJ, 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 KF, Travis MJ, Ventriglio A. The WPA- Lancet Psychiatry Commission on the Future of Psychiatry. The Lancet Psychiatry 2017;4(10):775
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Stange JP, Kleiman EM, Mermelstein RJ, Trull TJ. Using ambulatory assessment to measure dynamic risk processes in affective disorders. Journal of Affective Disorders 2019;259:325
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Moussa Y, Mahdanian AA, Yu C, Segal M, Looper KJ, Vahia IV, Rej S. Mobile Health Technology in Late-Life Mental Illness: A Focused Literature Review. The American Journal of Geriatric Psychiatry 2017;25(8):865
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Hetrick SE, Robinson J, Burge E, Blandon R, Mobilio B, Rice SM, Simmons MB, Alvarez-Jimenez M, Goodrich S, Davey CG. 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
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Cao J, Truong AL, Banu S, Shah AA, 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
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Chung K, Jeon M, Park J, Lee S, Kim CO, Park JY, Guloksuz S. Development and evaluation of a mobile-optimized daily self-rating depression screening app: A preliminary study. PLOS ONE 2018;13(6):e0199118
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Lahnakoski JM, Forbes PA, 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
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Berrouiguet S, Larsen ME, 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
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Torous J, Firth J, Mueller N, Onnela JP, Baker JT. Methodology and Reporting of Mobile Health and Smartphone Application Studies for Schizophrenia. Harvard Review of Psychiatry 2017;25(3):146
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Nahum M, Van Vleet TM, Sohal VS, Mirzabekov JJ, Rao VR, Wallace DL, Lee MB, Dawes H, Stark-Inbar A, Jordan JT, Biagianti B, Merzenich M, Chang EF. Immediate Mood Scaler: Tracking Symptoms of Depression and Anxiety Using a Novel Mobile Mood Scale. JMIR mHealth and uHealth 2017;5(4):e44
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Jensen RE, Gummerson SP, Chung AE. Overview of Patient-Facing Systems in Patient-Reported Outcomes Collection: Focus and Design in Cancer Care. Journal of Oncology Practice 2016;12(10):873
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Cormack F, McCue M, Taptiklis N, Skirrow C, Glazer E, Panagopoulos E, van Schaik TA, Fehnert B, King J, Barnett JH. Wearable Technology for High-Frequency Cognitive and Mood Assessment in Major Depressive Disorder: Longitudinal Observational Study. JMIR Mental Health 2019;6(11):e12814
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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
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Malhi GS, 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
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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)
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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)
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. Promoting meaningful recovery with digital mental health care. Epidemiology and Psychiatric Sciences 2020;29
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Torous J, Roberts LW. The Ethical Use of Mobile Health Technology in Clinical Psychiatry. Journal of Nervous & Mental Disease 2017;205(1):4
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Chung K, Park JY, 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
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Rathbone AL, 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
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BinDhim NF, Alanazi EM, Aljadhey H, Basyouni MH, Kowalski SR, Pont LG, Shaman AM, Trevena L, Alhawassi TM. 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
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Aledavood T, Lehmann S, Saramäki J. Digital daily cycles of individuals. Frontiers in Physics 2015;3
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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
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Worley CB, LoSavio ST, Aajmain S, Rosen C, Stirman SW, Sloan DM. 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
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Mercier HW, Hamner JW, Torous J, Onnela JP, Taylor JA. Digital Phenotyping to Quantify Psychosocial Well-Being Trajectories After Spinal Cord Injury. American Journal of Physical Medicine & Rehabilitation 2020;99(12):1138
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Martin-Key NA, Schei TS, Barker EJ, 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
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Montoro M, Arrua-Duarte E, Peñalver-Argüeso B, Migoya-Borja M, Baca-Garcia E, Barrigón ML. Comparative study of paper-and-pencil and electronic formats of the Snaith-Hamilton Pleasure Scale. Journal of Health Psychology 2022;27(3):557
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LaMonica HM, Davenport TA, Ottavio A, Rowe SC, Cross SP, Iorfino F, Jackson TA, Easton MA, Melsness J, Hickie IB. Optimising the integration of technology-enabled solutions to enhance primary mental health care: a service mapping study. BMC Health Services Research 2021;21(1)
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Chan EC, Sun Y, Aitchison KJ, 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
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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)
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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
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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
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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
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Jackman K, Dangerfield DT, Yang C, Trent M, Kharrazi H, Johnson RM, 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
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Carpenter-Song E, Acquilano SC, Noel V, Al-Abdulmunem M, Torous J, Drake RE. 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
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Goltermann J, Emden D, Leehr EJ, 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
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Shalaby R, Vuong W, Hrabok M, Gusnowski A, Mrklas K, Li D, Snaterse M, Surood S, Cao B, Li X, Greiner R, Greenshaw AJ, Agyapong VIO. 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
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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
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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
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Ding EY, Pathiravasan CH, Schramm E, Borrelli B, Liu C, Trinquart L, Kornej J, Benjamin EJ, Murabito JM, McManus DD. 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
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Schueller SM, Neary M, Lai J, Epstein DA. Understanding People’s Use of and Perspectives on Mood-Tracking Apps: Interview Study. JMIR Mental Health 2021;8(8):e29368
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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
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Martin-Key NA, Mirea D, Olmert T, Cooper J, Han SYS, 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
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Kriegshauser KD, Sexton CC, Bozsik FM, Blossom JB, Wiese AD, Adams Larsen M, Hale LR. The Feasibility of a Family-Focused CBT Skills Self-Help App. Cognitive and Behavioral Practice 2024;31(2):230
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Cheung BS, Murphy JK, Michalak EE, Liu J, Yang X, Wang X, Chen J, Lam RW. 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
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Bos FM, von Klipstein L, Emerencia AC, 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
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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
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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
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Chan EC, Wallace K, Yang EH, Roper L, Aryal G, Lodhi RJ, Isenberg R, Carnes P, Baskys A, Green B, Aitchison KJ. 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
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Van Assche E, Antoni Ramos-Quiroga J, Pariante CM, Sforzini L, Young AH, Flossbach Y, Gold SM, Hoogendijk WJ, Baune BT, Maron E. Digital tools for the assessment of pharmacological treatment for depressive disorder: State of the art. European Neuropsychopharmacology 2022;60:100
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