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Chatbot features for anxiety and depression: A scoping review

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submitted on 2024-08-19, 11:28 and posted on 2024-08-19, 11:29 authored by Arfan Ahmed, Asmaa Hassan, Sarah Aziz, Alaa A Abd-alrazaq, Nashva Ali, Mahmood Alzubaidi, Dena Al-Thani, Bushra Elhusein, Mohamed Ali Siddig, Maram Ahmed, Mowafa Househ

Chatbots can provide valuable support to patients in assessing and guiding management of various health problems particularly when human resources are scarce. Chatbots can be affordable and efficient on-demand virtual assistants for mental health conditions, including anxiety and depression. We review features of chatbots available for anxiety or depression. Six bibliographic databases were searched including backward and forwards reference list checking. The initial search returned 1302 citations. Post-filtering, 42 studies remained forming the final dataset for this scoping review. Most of the studies were from conference proceedings (62%, 26/42), followed by journal articles (26%, 11/42), reports (7%, 3/42), or book chapters (5%, 2/42). About half of the reviewed chatbots had functionality targeting both anxiety and depression (60%, 25/42), whereas 38% (16/42) targeted only depression, 38% (16/42) anxiety and the remaining addressed other mental health issues along with anxiety and depression. Avatars or fictional characters were rarely used in these studies only 26% (11/42) despite their increasing popularity. Mental health chatbots could benefit in helping patients with anxiety and depression and provide valuable support to mental healthcare workers, particularly when resources are scarce. Real-time personal virtual assistance fills in this gap . Their role in mental health care is expected to increase.

Other Information

Published in: Health Informatics Journal
License: https://creativecommons.org/licenses/by-nc/4.0/
See article on publisher's website: https://dx.doi.org/10.1177/14604582221146719

Funding

Qatar National Research Fund (NPRP12S-0303-190204), A Personalized and Intelligent Digital Mental Health Platform for Qatar and the Arab world.

History

Language

  • English

Publisher

SAGE

Publication Year

  • 2023

License statement

This Item is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License

Institution affiliated with

  • Hamad Bin Khalifa University
  • College of Science and Engineering - HBKU
  • Hamad Medical Corporation
  • Hamad General Hospital - HMC
  • Weill Cornell Medicine - Qatar

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