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

Formative Evaluation of Digital Health Interventions (2690) JMIR Theme Issue: COVID-19 Special Issue (2478) Telehealth and Telemonitoring (1807) Digital Health, Telehealth and e-Innovation in Clinical Settings (457) Clinical Communication, Electronic Consultation and Telehealth (654) Infectious Diseases (non-STD/STI) (1633) Outbreak and Pandemic Preparedness and Management (1771) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1523) Text-messaging (SMS, WeChat etc)-Based Interventions (680) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (399)

Published on in Vol 5, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26190, first published .
Analyzing Digital Evidence From a Telemental Health Platform to Assess Complex Psychological Responses to the COVID-19 Pandemic: Content Analysis of Text Messages

Analyzing Digital Evidence From a Telemental Health Platform to Assess Complex Psychological Responses to the COVID-19 Pandemic: Content Analysis of Text Messages

Analyzing Digital Evidence From a Telemental Health Platform to Assess Complex Psychological Responses to the COVID-19 Pandemic: Content Analysis of Text Messages

Authors of this article:

Thomas D Hull1, 2 Author Orcid Image ;   Jacob Levine1 Author Orcid Image ;   Niels Bantilan1 Author Orcid Image ;   Angel N Desai3 Author Orcid Image ;   Maimuna S Majumder4 Author Orcid Image
Article Authors Cited by (12) Tweetations (5) Metrics

Journals

  1. Yadav U, Sharma A, Patil D. Review of automated depression detection: Social posts, audio and video, open challenges and future direction. Concurrency and Computation: Practice and Experience 2023;35(1) View
  2. Balcombe L, De Leo D. Digital Mental Health Amid COVID-19. Encyclopedia 2021;1(4):1047 View
  3. Eis S, Solà-Morales O, Duarte-Díaz A, Vidal-Alaball J, Perestelo-Pérez L, Robles N, Carrion C. Mobile Applications in Mood Disorders and Mental Health: Systematic Search in Apple App Store and Google Play Store and Review of the Literature. International Journal of Environmental Research and Public Health 2022;19(4):2186 View
  4. Moore I. COVID-19 and Implementing E-Mental Health Using the VRIO Strategic Planning Framework. International Journal of e-Collaboration 2022;18(1):1 View
  5. Darnell D, Pullmann M, Hull T, Chen S, Areán P. Predictors of Disengagement and Symptom Improvement Among Adults With Depression Enrolled in Talkspace, a Technology-Mediated Psychotherapy Platform: Naturalistic Observational Study. JMIR Formative Research 2022;6(6):e36521 View
  6. Balcombe L, De Leo D. Human-Computer Interaction in Digital Mental Health. Informatics 2022;9(1):14 View
  7. Malgaroli M, Tseng E, Hull T, Jennings E, Choudhury T, Simon N. Association of Health Care Work With Anxiety and Depression During the COVID-19 Pandemic: Structural Topic Modeling Study. JMIR AI 2023;2:e47223 View
  8. Malgaroli M, Hull T, Zech J, Althoff T. Natural language processing for mental health interventions: a systematic review and research framework. Translational Psychiatry 2023;13(1) View
  9. Tseng E, Bellini R, Lee Y, Ramjit A, Ristenpart T, Dell N. Data Stewardship in Clinical Computer Security: Balancing Benefit and Burden in Participatory Systems. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW1):1 View
  10. Laricheva M, Liu Y, Shi E, Wu A. Scoping review on natural language processing applications in counselling and psychotherapy. British Journal of Psychology 2024 View
  11. Heckler W, Feijó L, de Carvalho J, Barbosa J. Digital phenotyping for mental health based on data analytics: A systematic literature review. Artificial Intelligence in Medicine 2025;163:103094 View

Books/Policy Documents

  1. Clough B, Cassimatis M, Noorbala L, Attary T, Ghazizadeh A, Hamilton K. The Science behind the COVID Pandemic and Healthcare Technology Solutions. View