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

Formative Evaluation of Digital Health Interventions (3229) mHealth for Screening (296) Chatbots and Conversational Agents (740) Generative Language Models Including ChatGPT (708) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Health Care Quality and Health Services Research (337) Users' and Patients' Needs for Mental Health Services (502) Innovations in Mental Health Systems (484) mHealth for Wellness, Behavior Change and Prevention (3315) Behavior Change (863)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45959, first published .
Mental Distress, Label Avoidance, and Use of a Mental Health Chatbot: Results From a US Survey

Mental Distress, Label Avoidance, and Use of a Mental Health Chatbot: Results From a US Survey

Mental Distress, Label Avoidance, and Use of a Mental Health Chatbot: Results From a US Survey

Authors of this article:

Kristin Kosyluk1 Author Orcid Image ;   Tanner Baeder2 Author Orcid Image ;   Karah Yeona Greene2 Author Orcid Image ;   Jennifer T Tran1 Author Orcid Image ;   Cassidy Bolton1 Author Orcid Image ;   Nele Loecher1 Author Orcid Image ;   Daniel DiEva2 Author Orcid Image ;   Jerome T Galea2 Author Orcid Image
Article Authors Cited by (7) Tweetations (4) Metrics

Journals

  1. Foran H, Kubb C, Mueller J, Poff S, Ung M, Li M, Smith E, Akinyemi A, Kambadur M, Waller F, Graf M, Boureau Y. An Automated Conversational Agent Self-Help Program: Randomized Controlled Trial. Journal of Medical Internet Research 2024;26:e53829 View
  2. Jiang T, Huang C, Xu Y, Zheng H. Cognitive vs. emotional empathy: exploring their impact on user outcomes in health-assistant chatbots. Behaviour & Information Technology 2025;44(18):4387 View
  3. Nguyen O, Ahmad A, Wiegmann D. Correlates of Trust of Generative Artificial Intelligence Tools Among Patients and Caregivers: A Review of Empirical Research. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2025;69(1):1656 View
  4. Rupani N, Vasquez D, Contreras C, Menacho L, Tapia M, Kolevic L, Franke M, Galea J. “Un amigo secreto”: perceived acceptability of a chatbot for depression education, self-help and linkage to care among adolescents living with HIV in Peru. AIDS Care 2025;37(10):1718 View
  5. Tomasz Ufniarski , Maria Ufniarska , Aleksandra Piech , Karolina Pasierb , Karol Poplicha , Martyna Grodzińska , Bartłomiej Siuzdak , Justyna Moszkowicz , Piotr Sobkiewicz , Patrycja Kardasz , Marta Jutrzenka , Patrycja Ucieklak . LARGE LANGUAGE MODEL BASED CHATBOTS – A CHANCE FOR CLOSING THE MENTAL HEALTH TREATMENT GAP OR A THREAT TO THE PUBLIC HEALTH? A NARRATIVE REVIEW. International Journal of Innovative Technologies in Social Science 2025;3(3(47)) View
  6. Salik B, Gold B, Krier K. Reconditioning Emotional Responses With the Break Method: Pilot Quantitative Study. JMIR Formative Research 2025;9:e75056 View
  7. Serlet S. Les chatbots psychologiques : vers des « partenaires » utiles pour mieux orienter les patients ?. Psychologues et Psychologies 2025;n° 299(5):32 View