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

Mobile Health (mhealth) (2777) Registered Report (528) mHealth for Screening (194) Text-messaging (SMS, WeChat etc)-Based Interventions (624) Depression and Mood Disorders; Suicide Prevention (1290)

Published on in Vol 22, No 3 (2020): March

Text Messaging as a Screening Tool for Depression and Related Conditions in Underserved, Predominantly Minority Safety Net Primary Care Patients: Validity Study

Text Messaging as a Screening Tool for Depression and Related Conditions in Underserved, Predominantly Minority Safety Net Primary Care Patients: Validity Study

Text Messaging as a Screening Tool for Depression and Related Conditions in Underserved, Predominantly Minority Safety Net Primary Care Patients: Validity Study

Authors of this article:

Haomiao Jin1, 2 Author Orcid Image ;   Shinyi Wu1, 2, 3 Author Orcid Image
Article Authors Cited by (10) Tweetations (5) Metrics

Journals

  1. Manabe M, Liew K, Yada S, Wakamiya S, Aramaki E. Estimation of Psychological Distress in Japanese Youth Through Narrative Writing: Text-Based Stylometric and Sentiment Analyses. JMIR Formative Research 2021;5(8):e29500 View
  2. Schick A, Feine J, Morana S, Maedche A, Reininghaus U. Validity of Chatbot Use for Mental Health Assessment: Experimental Study. JMIR mHealth and uHealth 2022;10(10):e28082 View
  3. 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
  4. Lian T, Reid H, Rader A, Dewitt-Feldman S, Hezarkhani E, Gu E, Scott M, Kutzer K, Sandhu S, Crowder C, Ito K, Eisenson H, Bettger J, Shaw R, Lewinski A, Ming D, Bosworth H, Zullig L, Batch B, Drake C. A Tailored SMS Text Message–Based Intervention to Facilitate Patient Access to Referred Community-Based Social Needs Resources: Protocol for a Pilot Feasibility and Acceptability Study. JMIR Research Protocols 2022;11(10):e37316 View
  5. Moon K, Sobolev M, Kane J. Digital and Mobile Health Technology in Collaborative Behavioral Health Care: Scoping Review. JMIR Mental Health 2022;9(2):e30810 View
  6. Shah A, Hussain-Shamsy N, Strudwick G, Sockalingam S, Nolan R, Seto E. Digital Health Interventions for Depression and Anxiety Among People With Chronic Conditions: Scoping Review. Journal of Medical Internet Research 2022;24(9):e38030 View
  7. Sultana S, Pagán J. Use of Telehealth to Address Depression and Anxiety in Low-income US Populations: A Narrative Review. Journal of Primary Care & Community Health 2023;14:215013192311680 View
  8. Chong M, Hickie I, Cross S, McKenna S, Varidel M, Capon W, Davenport T, LaMonica H, Sawrikar V, Guastella A, Naismith S, Scott E, Iorfino F. Digital Application of Clinical Staging to Support Stratification in Youth Mental Health Services: Validity and Reliability Study. JMIR Formative Research 2023;7:e45161 View
  9. Gough A, Marshall T, Ferris E, Sitch A. Within-individual variation of measured depression symptoms: A systematic review and meta-analysis. Journal of Affective Disorders Reports 2023;14:100675 View
  10. Miyazawa Y, Katsuta N, Nara T, Nojiri S, Naito T, Hiki M, Ichikawa M, Takeshita Y, Kato T, Okumura M, Tobita M, Jakovljevic M. Identification of risk factors for the onset of delirium associated with COVID-19 by mining nursing records. PLOS ONE 2024;19(1):e0296760 View