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Citing this Article

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Published on 24.03.15 in Vol 2, No 1 (2015): Jan-Mar

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

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)

  1. 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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  2. 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
    CrossRef
  3. 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
    CrossRef
  4. 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
    CrossRef
  5. 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
    CrossRef
  6. 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
    CrossRef
  7. 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
    CrossRef
  8. Stange JP, Kleiman EM, Mermelstein RJ, Trull TJ. Using Ambulatory Assessment to Measure Dynamic Risk Processes in Affective Disorders. Journal of Affective Disorders 2019;
    CrossRef
  9. 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
    CrossRef
  10. 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
    CrossRef
  11. 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
    CrossRef
  12. 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
    CrossRef
  13. 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
    CrossRef
  14. 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
    CrossRef
  15. 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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  16. 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
    CrossRef
  17. 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)
    CrossRef
  18. 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
    CrossRef
  19. 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
    CrossRef
  20. Kleiman EM, Nock MK. Real-time assessment of suicidal thoughts and behaviors. Current Opinion in Psychology 2018;22:33
    CrossRef
  21. Cormack F, McCue M, Taptiklis N, Skirrow C, Glazer E, Panagopoulos E, Van Schaik T, Fehnert B, King J, Barnett JH. High-frequency cognitive and mood assessment in major depressive disorder with wearable technology (Preprint). JMIR Mental Health 2018;
    CrossRef
  22. 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):1424448
    CrossRef
  23. Melamed A, Wright AA. Patient Reported Outcomes: Recent Successes and Future Opportunities. Gynecologic Oncology 2018;148(1):1
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  24. 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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  25. 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
    CrossRef
  26. Roberts LW, Chan S, Torous J. New tests, new tools: mobile and connected technologies in advancing psychiatric diagnosis. npj Digital Medicine 2018;1(1)
    CrossRef
  27. 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
    CrossRef
  28. 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
    CrossRef
  29. 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
    CrossRef
  30. 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
    CrossRef
  31. 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
    CrossRef
  32. 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
    CrossRef
  33. Torous J, Roberts LW. The Ethical Use of Mobile Health Technology in Clinical Psychiatry. The Journal of Nervous and Mental Disease 2017;205(1):4
    CrossRef
  34. 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
    CrossRef
  35. 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
    CrossRef
  36. Dorsey E, Papapetropoulos S, Xiong M, Kieburtz K. The First Frontier: Digital Biomarkers for Neurodegenerative Disorders. Digital Biomarkers 2017;
    CrossRef
  37. Kleiman EM, Nock MK. Advances in Scientific Possibilities Offered by Real-Time Monitoring Technology. Psychiatry 2017;80(2):118
    CrossRef
  38. 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
    CrossRef
  39. 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
    CrossRef
  40. 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
    CrossRef
  41. 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
    CrossRef
  42. 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
    CrossRef
  43. 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
    CrossRef
  44. 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
    CrossRef
  45. 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
    CrossRef
  46. 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
    CrossRef
  47. 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
    CrossRef
  48. 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
    CrossRef
  49. Sobowale K, Torous J. Disaster psychiatry in Asia: The potential of smartphones, mobile, and connected technologies. Asian Journal of Psychiatry 2016;22:1
    CrossRef
  50. 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
    CrossRef
  51. 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
    CrossRef
  52. 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
    CrossRef
  53. 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
    CrossRef
  54. Wiederhold BK. mHealth Sensors Can Promote Behavior Change and Reduce Healthcare Costs. Cyberpsychology, Behavior, and Social Networking 2015;18(10):559
    CrossRef
  55. 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)
    CrossRef
  56. Torous J, Powell AC. Current research and trends in the use of smartphone applications for mood disorders. Internet Interventions 2015;2(2):169
    CrossRef
  57. Aledavood T, Lehmann S, Saramäki J. Digital daily cycles of individuals. Frontiers in Physics 2015;3
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mental.3889)

:
  1. Pedrelli P, Bentley KH, Howe E, Shapero BG. The Massachusetts General Hospital Guide to Depression. 2019. Chapter 14:179
    CrossRef
  2. Chan S, Torous JB, Hinton L, Yellowlees PM. e-Mental Health. 2016. Chapter 11:217
    CrossRef
  3. Richter J, Kampling C, Schneider M. Patient Reported Outcome Measures in Rheumatic Diseases. 2016. Chapter 15:371
    CrossRef