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

Mobile Health (mhealth) (2019) mHealth for Data Collection and Research (703) Usability of Apps and User Perceptions of mHealth (737) mHealth in a Clinical Setting (500) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1071) mHealth for Screening (149) Depression and Mood Disorders; Suicide Prevention (1072) Innovations and Technology in Cancer Care (304)

Published on in Vol 18 , No 8 (2016) :August

Depression Screening Using Daily Mental-Health Ratings from a Smartphone Application for Breast Cancer Patients

Depression Screening Using Daily Mental-Health Ratings from a Smartphone Application for Breast Cancer Patients

Depression Screening Using Daily Mental-Health Ratings from a Smartphone Application for Breast Cancer Patients

Authors of this article:

Junetae Kim 1 Author Orcid Image ;   Sanghee Lim 2 Author Orcid Image ;   Yul Ha Min 3 Author Orcid Image ;   Yong-Wook Shin 4 Author Orcid Image ;   Byungtae Lee 1 Author Orcid Image ;   Guiyun Sohn 5 Author Orcid Image ;   Kyung Hae Jung 6 Author Orcid Image ;   Jae-Ho Lee 7, 8, 9 Author Orcid Image ;   Byung Ho Son 5 Author Orcid Image ;   Sei Hyun Ahn 5 Author Orcid Image ;   Soo-Yong Shin 8, 9 Author Orcid Image ;   Jong Won Lee 5 Author Orcid Image
Article Authors Cited by (51) Tweetations (27) Metrics

Journals

  1. Giansanti D. Introduction of Medical Apps in Telemedicine and e-Health: Problems and Opportunities. Telemedicine and e-Health 2017;23(9):773 View
  2. Ana F, Loreto M, José L, Pablo S, María Pilar M, Myriam S. Mobile applications in oncology: A systematic review of health science databases. International Journal of Medical Informatics 2020;133:104001 View
  3. 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
  4. Kondylakis H, Bucur A, Crico C, Dong F, Graf N, Hoffman S, Koumakis L, Manenti A, Marias K, Mazzocco K, Pravettoni G, Renzi C, Schera F, Triberti S, Tsiknakis M, Kiefer S. Patient empowerment for cancer patients through a novel ICT infrastructure. Journal of Biomedical Informatics 2020;101:103342 View
  5. Kim J, Kam H, Kim Y, Lee Y, Lee J. Understanding Time Series Patterns of Weight and Meal History Reports in Mobile Weight Loss Intervention Programs: Data-Driven Analysis. Journal of Medical Internet Research 2020;22(8):e17521 View
  6. Jung M, Lee S, Kim J, Kim H, Ko B, Son B, Ahn S, Park Y, Cho D, Chung H, Park H, Lee M, Lee J, Chung S, Chung I. A Mobile Technology for Collecting Patient-Reported Physical Activity and Distress Outcomes: Cross-Sectional Cohort Study. JMIR mHealth and uHealth 2020;8(5):e17320 View
  7. Zhu J, Ebert L, Xue Z, Shen Q, Chan S. Development of a mobile application of Breast Cancer e-Support program for women with breast cancer undergoing chemotherapy. Technology and Health Care 2017;25(2):377 View
  8. 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
  9. Jongerius C, Russo S, Mazzocco K, Pravettoni G. Research-Tested Mobile Apps for Breast Cancer Care: Systematic Review. JMIR mHealth and uHealth 2019;7(2):e10930 View
  10. 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
  11. Yang Y, Ryu G, Park C, Yeom I, Shim K, Choi M. Mood and Stress Evaluation of Adult Patients With Moyamoya Disease in Korea: Ecological Momentary Assessment Method Using a Mobile Phone App. JMIR mHealth and uHealth 2020;8(5):e17034 View
  12. Meng J, Hussain S, Mohr D, Czerwinski M, Zhang M. Exploring User Needs for a Mobile Behavioral-Sensing Technology for Depression Management: Qualitative Study. Journal of Medical Internet Research 2018;20(7):e10139 View
  13. Chung I, Jung M, Lee S, Lee J, Park Y, Cho D, Chung H, Youn S, Min Y, Park H, Lee M, Chung S, Son B, Ahn S. An Assessment of Physical Activity Data Collected via a Smartphone App and a Smart Band in Breast Cancer Survivors: Observational Study. Journal of Medical Internet Research 2019;21(9):e13463 View
  14. Birkhoff S, Cantrell M, Moriarty H, Lustig R. The Usability and Acceptability of a Patient-Centered Mobile Health Tracking App Among a Sample of Adult Radiation Oncology Patients. Advances in Nursing Science 2018;41(3):243 View
  15. Choi E, Kang S. The Relationship Between Acceptance Intention Toward a Smartphone Healthcare Application and Health-Promoting Behaviors Among Nursing Students. CIN: Computers, Informatics, Nursing 2018;36(10):494 View
  16. Ali R, Alnuaimi K, Al‐Jarrah I. Examining the associations between smartphone use and mother–infant bonding and family functioning: A survey design. Nursing & Health Sciences 2020;22(2):235 View
  17. Chung B, Oh E, Song S. Mobile Health for Breast Cancer Patients: A Systematic Review. Asian Oncology Nursing 2017;17(3):133 View
  18. Perry K, Shearer E, Sylvers P, Carlile J, Felker B. mHealth 101: an Introductory Guide for Mobile Apps in Clinical Practice. Journal of Technology in Behavioral Science 2019;4(2):162 View
  19. Chan S, Godwin H, Gonzalez A, Yellowlees P, Hilty D. Review of Use and Integration of Mobile Apps Into Psychiatric Treatments. Current Psychiatry Reports 2017;19(12) View
  20. Chan S, Li L, Torous J, Gratzer D, Yellowlees P. Review of Use of Asynchronous Technologies Incorporated in Mental Health Care. Current Psychiatry Reports 2018;20(10) View
  21. Vansimaeys C, Zuber M, Pitrat B, Join-Lambert C, Tamazyan R, Farhat W, Bungener C. Combining Standard Conventional Measures and Ecological Momentary Assessment of Depression, Anxiety and Coping Using Smartphone Application in Minor Stroke Population: A Longitudinal Study Protocol. Frontiers in Psychology 2017;8 View
  22. van Egdom L, Oemrawsingh A, Verweij L, Lingsma H, Koppert L, Verhoef C, Klazinga N, Hazelzet J. Implementing Patient-Reported Outcome Measures in Clinical Breast Cancer Care: A Systematic Review. Value in Health 2019;22(10):1197 View
  23. Yang Y, Ryu G, Choi M. Methodological Strategies for Ecological Momentary Assessment to Evaluate Mood and Stress in Adult Patients Using Mobile Phones: Systematic Review. JMIR mHealth and uHealth 2019;7(4):e11215 View
  24. Huberty J, Puzia M, Eckert R, Larkey L. Cancer Patients’ and Survivors’ Perceptions of the Calm App: Cross-Sectional Descriptive Study. JMIR Cancer 2020;6(1):e16926 View
  25. Eddens K, Fagan J, Collins T. An Interactive, Mobile-Based Tool for Personal Social Network Data Collection and Visualization Among a Geographically Isolated and Socioeconomically Disadvantaged Population: Early-Stage Feasibility Study With Qualitative User Feedback. JMIR Research Protocols 2017;6(6):e124 View
  26. Houghton L, Howland R, McDonald J. Mobilizing Breast Cancer Prevention Research Through Smartphone Apps: A Systematic Review of the Literature. Frontiers in Public Health 2019;7 View
  27. Lee Y, Park K. Can Patient Education with a Smartphone Application Improve the Quality of Bowel Preparation for Colonoscopy?. Clinical Endoscopy 2017;50(5):412 View
  28. Rincon E, Monteiro-Guerra F, Rivera-Romero O, Dorronzoro-Zubiete E, Sanchez-Bocanegra C, Gabarron E. Mobile Phone Apps for Quality of Life and Well-Being Assessment in Breast and Prostate Cancer Patients: Systematic Review. JMIR mHealth and uHealth 2017;5(12):e187 View
  29. 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 View
  30. Rismawan W, Marchira C, Rahmat I. Usability, Acceptability, and Adherence Rates of Mobile Application Interventions for Prevention or Treatment of Depression: A Systematic Review. Journal of Psychosocial Nursing and Mental Health Services 2021;59(2):41 View
  31. Golden E, Zweig M, Danieletto M, Landell K, Nadkarni G, Bottinger E, Katz L, Somarriba R, Sharma V, Katz C, Marin D, DePierro J, Charney D. A Resilience-Building App to Support the Mental Health of Health Care Workers in the COVID-19 Era: Design Process, Distribution, and Evaluation. JMIR Formative Research 2021;5(5):e26590 View
  32. Gooding P, Kariotis T. Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping Review. JMIR Mental Health 2021;8(6):e24668 View
  33. Chung B, Hong S. Effects of smart-care services program for breast cancer survivors. The Journal of Korean Academic Society of Nursing Education 2021;27(2):95 View
  34. White K, Williamson C, Bergou N, Oetzmann C, de Angel V, Matcham F, Henderson C, Hotopf M. A systematic review of engagement reporting in remote measurement studies for health symptom tracking. npj Digital Medicine 2022;5(1) View
  35. Blackstone S, Sebring A, Allen C, Tan J, Compton R. Improving Depression Screening in Primary Care: A Quality Improvement Initiative. Journal of Community Health 2022;47(3):400 View
  36. Patel S, Goldsack J, Cordovano G, Downing A, Fields K, Geoghegan C, Grewal U, Nieva J, Patel N, Rollison D, Sah A, Said M, Van De Keere I, Way A, Wolff-Hughes D, Wood W, Robinson E. Advancing Digital Health Innovation in Oncology: Priorities for High-Value Digital Transformation in Cancer Care. Journal of Medical Internet Research 2023;25:e43404 View
  37. Park Y, Lee J. Mobile Application Contents Development for the Information Accessibility and Mental Health Promotion to Recover from Sexual Violence. Journal of Digital Contents Society 2022;23(2):191 View
  38. Lee J, Jeong J, Ji W, Lee H, Lee Y, Jo M, Chung S, Yun S, Choi C, Lee G, Lee S, Lee J. Comparative effectiveness of smartphone healthcare applications for improving quality of life in lung cancer patients: study protocol. BMC Pulmonary Medicine 2022;22(1) View
  39. Armbruster C, Knaub M, Farin-Glattacker E, von der Warth R. Predictors of Adherence to Cancer-Related mHealth Apps in Cancer Patients Undergoing Oncological or Follow-Up Treatment—A Scoping Review. International Journal of Environmental Research and Public Health 2022;19(20):13689 View
  40. Jebraeily M, Eghtedar S, Ayatollahi H, Mohammadzadeh Z. Identifying Educational Contents and Technical Features of a Self-Management Smartphone Application for Women with Breast Cancer. Journal of Advances in Medical and Biomedical Research 2022;30(139):129 View
  41. Szeto M, Barber C, Ranpariya V, Anderson J, Hatch J, Ward J, Aguilera M, Hassan S, Hamp A, Coolman T, Dellavalle R. Emojis and Emoticons in Health Care and Dermatology Communication: Narrative Review. JMIR Dermatology 2022;5(3):e33851 View
  42. Moses J, Adibi S, Wickramasinghe N, Nguyen L, Angelova M, Islam S. Smartphone as a Disease Screening Tool: A Systematic Review. Sensors 2022;22(10):3787 View
  43. Baglione A, Cai L, Bahrini A, Posey I, Boukhechba M, Chow P. Understanding the Relationship Between Mood Symptoms and Mobile App Engagement Among Patients With Breast Cancer Using Machine Learning: Case Study. JMIR Medical Informatics 2022;10(6):e30712 View
  44. Wang Y, Yang L, Xu W, Wang C, Chen J, Wu Y, Hu R. Effects of a WeChat-based multimodal psychoeducational intervention on psychological well-being and quality of life in acute leukaemia patients in China: a randomised controlled trial. Journal of Cancer Survivorship 2022;16(6):1461 View
  45. Yom-Tov E, Lekkas D, Heinz M, Nguyen T, Barr P, Jacobson N. Digitally filling the access gap in mental health care: An investigation of the association between rurality and online engagement with validated self-report screens across the United States. Journal of Psychiatric Research 2023;157:112 View
  46. Beuken M, Kanera I, Ezendam N, Braun S, Zoet M. Identification and Potential Use of Clusters of Patients With Colorectal Cancer and Patients With Prostate Cancer in Clinical Practice: Explorative Mixed Methods Study. JMIR Cancer 2022;8(4):e42908 View
  47. 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 View
  48. Kim D, Lee Y, Oh J, Seo D, Lee K, Kim Y, Kim W, Lee J. Effects of Patient-Generated Health Data: Comparison of Two Versions of Long-Term Mobile Personal Health Record Usage Logs. Healthcare 2021;10(1):53 View

Books/Policy Documents

  1. Wittenborn A, Baucom B, Leifker F, Lachmar E. The Handbook of Systemic Family Therapy. View
  2. Wittenborn A, Baucom B, Leifker F, Lachmar E. The Handbook of Systemic Family Therapy. View
  3. Ranallo P, Tenenbaum J. Mental Health Informatics. View