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| Title: | The PDC30 Chatbot-development of a psychoeducational resource on dementia caregiving among family caregivers : mixed methods acceptability study | Authors: | Cheng, ST Ng, PHF |
Issue Date: | 2025 | Source: | JMIR aging, 2025, v. 8, e63715 | Abstract: | Background: Providing ongoing support to the increasing number of caregivers as their needs change in the long-term course of dementia is a severe challenge to any health care system. Conversational artificial intelligence (AI) operating 24/7 may help to tackle this problem. Objective: This studydescribes the developmentofagenerativeAI chatbot-the PDC30 Chatbot-andevaluatesitsacceptability in a mixed methods study. Methods: The PDC30 Chatbot was developed using the GPT-4o large language model, with a personality agent to constrain its behavior to provide advice on dementia caregiving based on the Positive Dementia Caregiving in 30 Days Guidebook-a laypeople's resource based on a validated training manual for dementia caregivers. The PDC30 Chatbot's responses to 21 common questions were compared with those of ChatGPT and another chatbot (called Chatbot-B) as standards of reference. Chatbot-B was constructed using PDC30 Chatbot's architecture but replaced the latter's knowledge base with a collection of authoritative sources, including the World Health Organization's iSupport, By Us For Us Guides, and 185 web pages or manuals by Alzheimer's Association, National Institute on Aging, and UK Alzheimer's Society. In the next phase, to assess the acceptability of the PDC30 Chatbot, 21 family caregivers used the PDC30 Chatbot for two weeks and provided ratings and comments on its acceptability. Results: Among the three chatbots, ChatGPT's responses tended to be repetitive and not specific enough. PDC30 Chatbot and Chatbot-B, by virtue of their design, produced highly context-sensitive advice, with the former performing slightly better when the questions conveyed significant psychological distress on the part of the caregiver. In the acceptability study, caregivers found the PDC30 Chatbot highly user-friendly, and its responses quite helpful and easy to understand. They were rather satisfied with it and would strongly recommend it to other caregivers. During the 2-week trial period, the majority used the chatbot more than once per day. Thematic analysis of their written feedback revealed three major themes: helpfulness, accessibility, and improved attitude toward AI. Conclusions: The PDC30 Chatbot provides quality responses to caregiver questions, which are well-received by caregivers. Conversational AI is a viable approach to improve the support of caregivers. |
Keywords: | Alzheimer Caregiving Chatbot Conversational artificial intelligence Dementia Digital health Health care technology Psychoeducational Medical innovations Language models Mobile phone |
Publisher: | JMIR Publications, Inc. | Journal: | JMIR aging | EISSN: | 2561-7605 | DOI: | 10.2196/63715 | Rights: | ©Sheung-Tak Cheng, Peter H F Ng. Originally published in JMIR Aging (https://aging.jmir.org), 06.01.2025. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Aging, is properly cited. The complete bibliographic information, a link to the original publication on https://aging.jmir.org, as well as this copyright and license information must be included. The following publication Cheng ST, Ng PHF. The PDC30 Chatbot—Development of a Psychoeducational Resource on Dementia Caregiving Among Family Caregivers: Mixed Methods Acceptability Study. JMIR Aging 2025;8:e63715 is available at https://dx.doi.org/10.2196/63715. |
| Appears in Collections: | Journal/Magazine Article |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| aging-2025-1-e63715.pdf | 159.09 kB | Adobe PDF | View/Open |
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