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

Formative Evaluation of Digital Health Interventions (2410) JMIR Theme Issue: COVID-19 Special Issue (2452) Telehealth and Telemonitoring (1671) Digital Health, Telehealth and e-Innovation in Clinical Settings (401) Clinical Communication, Electronic Consultation and Telehealth (590) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Text-messaging (SMS, WeChat etc)-Based Interventions (650) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (383)

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 (11) 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

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