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Citing this Article

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Published on 27.06.16 in Vol 18, No 6 (2016): Jun

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

Works citing "Does a Mobile Phone Depression-Screening App Motivate Mobile Phone Users With High Depressive Symptoms to Seek a Health Care Professional’s Help?"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5726):

(note that this is only a small subset of citations)

  1. Beiwinkel T, Hey S, Bock O, Rössler W. Supportive Mental Health Self-Monitoring among Smartphone Users with Psychological Distress: Protocol for a Fully Mobile Randomized Controlled Trial. Frontiers in Public Health 2017;5
    CrossRef
  2. Choi I, Milne DN, Deady M, Calvo RA, Harvey SB, Glozier N. Impact of Mental Health Screening on Promoting Immediate Online Help-Seeking: Randomized Trial Comparing Normative Versus Humor-Driven Feedback. JMIR Mental Health 2018;5(2):e26
    CrossRef
  3. Fatmawati , Stang , Palutturi S, Amiruddin R, Syafar M. Development of cognitive behavior therapy apps application on depression management in patients of diabetes mellitus type II. Enfermería Clínica 2020;30:21
    CrossRef
  4. Weile LKK, Wu C, Hegaard HK, Kesmodel US, Henriksen TB, Ibsen IO, Nohr EA. Identification of Alcohol Risk Drinking Behaviour in Pregnancy Using a Web-Based Questionnaire: Large-Scale Implementation in Antenatal Care. Alcohol and Alcoholism 2020;55(2):225
    CrossRef
  5. Ben-Sasson A, Robins DL, Yom-Tov E. Risk Assessment for Parents Who Suspect Their Child Has Autism Spectrum Disorder: Machine Learning Approach. Journal of Medical Internet Research 2018;20(4):e134
    CrossRef
  6. Beintner I, Backes B, Voderholzer U. Welches digitale Angebot für wen?. DNP - Der Neurologe & Psychiater 2020;21(2):43
    CrossRef
  7. 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
  8. Zhou L, Saptono A, Setiawan IMA, Parmanto B. Making Self-Management Mobile Health Apps Accessible to People With Disabilities: Qualitative Single-Subject Study. JMIR mHealth and uHealth 2020;8(1):e15060
    CrossRef
  9. Penders TM, Wuensch KL, Ninan PT. eMindLog: Self-Measurement of Anxiety and Depression Using Mobile Technology. JMIR Research Protocols 2017;6(5):e98
    CrossRef
  10. Mastoras R, Iakovakis D, Hadjidimitriou S, Charisis V, Kassie S, Alsaadi T, Khandoker A, Hadjileontiadis LJ. Touchscreen typing pattern analysis for remote detection of the depressive tendency. Scientific Reports 2019;9(1)
    CrossRef
  11. Zens M, Grotejohann B, Tassoni A, Duttenhoefer F, Südkamp NP, Niemeyer P. Development of a Modular Research Platform to Create Medical Observational Studies for Mobile Devices. JMIR Research Protocols 2017;6(5):e99
    CrossRef
  12. 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
  13. Marcano-Belisario JS, Gupta AK, O’Donoghue J, Ramchandani P, Morrison C, Car J. Implementation of depression screening in antenatal clinics through tablet computers: results of a feasibility study. BMC Medical Informatics and Decision Making 2017;17(1)
    CrossRef
  14. 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
    CrossRef
  15. YUNGWOOKKIM , Haein Kim , Hyeonji Moon , 이하나 . A Study on Usage Effect and Acceptance Factors of a Particulate Matter Application (App). Journal of Public Relations 2017;21(4):114
    CrossRef
  16. Govorko MH, Fritschi L, White J, Reid A. Identifying Asbestos-Containing Materials in Homes: Design and Development of the ACM Check Mobile Phone App. JMIR Formative Research 2017;1(1):e7
    CrossRef
  17. Bakker D, Kazantzis N, Rickwood D, Rickard N. Development and Pilot Evaluation of Smartphone-Delivered Cognitive Behavior Therapy Strategies for Mood- and Anxiety-Related Problems: MoodMission. Cognitive and Behavioral Practice 2018;25(4):496
    CrossRef
  18. Mullins CD, Wingate LT, Edwards HA, Tofade T, Wutoh A. Transitioning from learning healthcare systems to learning health care communities. Journal of Comparative Effectiveness Research 2018;7(6):603
    CrossRef
  19. Li H, Lewis C, Chi H, Singleton G, Williams N. Mobile health applications for mental illnesses: An Asian context. Asian Journal of Psychiatry 2020;54:102209
    CrossRef
  20. Mirea D, Martin-Key NA, Barton-Owen G, Olmert T, Cooper JD, Han SYS, Farrag LP, Bell E, Friend LV, Eljasz P, Cowell D, Tomasik J, Bahn S. Impact of a Web-Based Psychiatric Assessment on the Mental Health and Well-Being of Individuals Presenting With Depressive Symptoms: Longitudinal Observational Study. JMIR Mental Health 2021;8(2):e23813
    CrossRef
  21. BinDhim NF, Althumiri NA, Basyouni MH, Alageel AA, Alghnam S, Al-Qunaibet AM, Almubark RA, Aldhukair S, Ad-Dab'bagh Y. A Mental Health Surveillance System for the General Population During the COVID-19 Pandemic: Protocol for a Multiwave Cross-sectional Survey Study. JMIR Research Protocols 2020;9(11):e23748
    CrossRef
  22. 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)
    CrossRef
  23. 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
    CrossRef
  24. Althumiri NA, Basyouni MH, BinDhim NF. Exploring the Association Between Physical Activity and Risk of Mental Health Disorders in Saudi Arabian Adults: Cross-sectional Study. JMIR Public Health and Surveillance 2021;7(4):e25438
    CrossRef
  25. BinDhim NF, Althumiri NA, Basyouni MH, Alageel AA, Alghnam S, Al-Qunaibet AM, Almubarak RA, Aldhukair S, Ad-Dab’bagh Y. Saudi Arabia Mental Health Surveillance System (MHSS): mental health trends amid COVID-19 and comparison with pre-COVID-19 trends. European Journal of Psychotraumatology 2021;12(1)
    CrossRef
  26. Moses JC, Adibi S, Wickramasinghe N, Nguyen L, Angelova M, Islam SMS. Smartphone as a Disease Screening Tool: A Systematic Review. Sensors 2022;22(10):3787
    CrossRef
  27. Jardine J, Bowman R, Doherty G. Digital Interventions to Enhance Readiness for Psychological Therapy: Scoping Review. Journal of Medical Internet Research 2022;24(8):e37851
    CrossRef
  28. Kanellopoulos D, Solomonov N, Ritholtz S, Wilkins V, Goldman R, Schier M, Oberlin L, Bueno-Castellano C, Dargis M, Cherestal S, Gunning F. The CopeNYP program: A model for brief treatment of psychological distress among healthcare workers and hospital staff. General Hospital Psychiatry 2021;73:24
    CrossRef
  29. Funnell EL, 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
    CrossRef
  30. Kim S, Lee K. Screening for Depression in Mobile Devices Using Patient Health Questionnaire-9 (PHQ-9) Data: A Diagnostic Meta-Analysis via Machine Learning Methods. Neuropsychiatric Disease and Treatment 2021;Volume 17:3415
    CrossRef
  31. Khazanov GK, Forbes CN, Dunn BD, Thase ME. Addressing anhedonia to increase depression treatment engagement. British Journal of Clinical Psychology 2022;61(2):255
    CrossRef
  32. BinDhim NF, McGeechan K, Trevena L. Smartphone Smoking Cessation Application (SSC App) trial: a multicountry double-blind automated randomised controlled trial of a smoking cessation decision-aid ‘app’. BMJ Open 2018;8(1):e017105
    CrossRef
  33. McCue M, Khatib R, Kabir C, Blair C, Fehnert B, King J, Spalding A, Zaki L, Chrones L, Roy A, Kemp DE. User-Centered Design of a Digitally Enabled Care Pathway in a Large Health System: Qualitative Interview Study. JMIR Human Factors 2023;10:e42768
    CrossRef
  34. Alhabeeb AA, Al-Duraihem RA, Alasmary S, Alkhamaali Z, Althumiri NA, BinDhim NF. National screening for anxiety and depression in Saudi Arabia 2022. Frontiers in Public Health 2023;11
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  35. Swirsky ES, Boyd AD, Gu C, Burke LA, Doorenbos AZ, Ezenwa MO, Knisely MR, Leigh JW, Li H, Mandernach MW, Molokie RE, Patil CL, Steffen AD, Shah N, deMartelly VA, Staman KL, Schlaeger JM. Monitoring and responding to signals of suicidal ideation in pragmatic clinical trials: Lessons from the GRACE trial for Chronic Sickle Cell Disease Pain. Contemporary Clinical Trials Communications 2023;36:101218
    CrossRef
  36. Sikorski F, Löwe B, Kohlmann S. How adults with suspected depressive disorder experience online depression screening: A qualitative interview study. Internet Interventions 2023;34:100685
    CrossRef
  37. Le Jeannic A, Turmaine K, Gandré C, Vinet M, Michel M, Chevreul K. Defining the Characteristics of an e-Health Tool for Suicide Primary Prevention in the General Population: The StopBlues Case in France. International Journal of Environmental Research and Public Health 2023;20(12):6096
    CrossRef
  38. Fletcher K, Moran-Pryor A, Robert-Hendren D. Preliminary Clinical Outcomes of the Hello Sunday Morning Alcohol and Wellbeing Self-Assessment: Feasibility and Acceptability Study. JMIR Formative Research 2023;7:e48245
    CrossRef
  39. Sattler A, Dunn J, Albarran M, Berger C, Calugar A, Carper J, Chirravuri L, Jawad N, Zein M, McGovern M. Asynchronous versus synchronous screening for depression and suicidality: A quality improvement study in a primary care health system (Preprint). JMIR Mental Health 2023;
    CrossRef