Parenting Journal · Volume 1 · Issue 3 · Licensed source edition
Meeting the Behavioral Health Needs of Health Care Workers During COVID-19 by Leveraging Chatbot Technology: Development and Usability Study
Originally published 2023-06-08 · Journal of Medical Internet Research
JMIR Publications Inc. · DOI 10.2196/40635 ↗
AI / system type
Workforce-support chatbot for triage, navigation and connection to live telehealth support
Workplace evidenceExamines workers, organizations or AI at work. Participants are not necessarily parents; family benefits are not established by this evidence alone.
The AI connection
System or context examined: Workforce-support chatbot for triage, navigation and connection to live telehealth support. The source-specific system and study design determine what can be inferred.
Why this reading matters
The reading brings chatbot navigation to human behavioral-health support into a concrete discussion of humane work during technological change. It offers program-development and usability study evidence or analysis, not a promise of organizational or family benefit.
Workplace evidence
Work, care and the whole person.
The workplace lens is chatbot navigation to human behavioral-health support. Source setting or population: Faculty, staff and trainees in the UCSF Cope workforce support program during COVID-19. Parenting and child-development outcomes are not inferred from the workplace evidence.
Examines workers, organizations or AI at work. Participants are not necessarily parents; family benefits are not established by this evidence alone.
Editorial reading guide · Kindness
Can a chatbot open a door to human help when work becomes overwhelming?
This program-development and usability study examines chatbot navigation to human behavioral-health support. Its TRICK home is Kindness, an editorial reading path rather than a claim that the paper tests the full framework.
Study context
Faculty, staff and trainees in the UCSF Cope workforce support program during COVID-19
Age / stage: Adult workplace context; no child age range inferred
Read with three questions
- Can a chatbot open a door to human help when work becomes overwhelming?
- What do this study’s design and population — Faculty, staff and trainees in the UCSF Cope workforce support program during COVID-19 — allow you to infer about another workplace?
- When considering chatbot navigation to human behavioral-health support, which decisions would need employee input before applying this reading to a working family’s circumstances?
Keep the limits in view
Program use and usability do not establish treatment effectiveness; a pandemic academic-medical setting may not transfer to other employers.
The text below is the original article’s licensed repository edition. Its wording is not rewritten. Use the Paper Agent beside the text to locate evidence; open the source for figures, tables and complete context.
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Original authorship, publication date, journal and DOI are preserved. This issue’s TRICK placement and reading questions are editorial additions, not claims made by the original authors.
Maga Jackson-Triche; Don Vetal; Eva-Marie Turner; Priya Dahiya; Christina Mangurian (2023). Meeting the Behavioral Health Needs of Health Care Workers During COVID-19 by Leveraging Chatbot Technology: Development and Usability Study Journal of Medical Internet Research. https://doi.org/10.2196/40635
Permissions checked against the saved article notice; repository publication notices screened 2026-11-05. This is not a new peer-review decision. The source authors and publishers are not represented as endorsing this issue.