Effectiveness of a Mental Health Chatbot for People With Chronic Diseases: Randomized Controlled Trial.

anxiety application arthritis chatbot chronic disease depression diabetes effectiveness mental health stress

Journal

JMIR formative research
ISSN: 2561-326X
Titre abrégé: JMIR Form Res
Pays: Canada
ID NLM: 101726394

Informations de publication

Date de publication:
30 May 2024
Historique:
received: 16 06 2023
accepted: 07 03 2024
revised: 20 12 2023
medline: 30 5 2024
pubmed: 30 5 2024
entrez: 30 5 2024
Statut: epublish

Résumé

People with chronic diseases tend to experience more mental health issues than their peers without these health conditions. Mental health chatbots offer a potential source of mental health support for people with chronic diseases. The aim of this study was to determine whether a mental health chatbot can improve mental health in people with chronic diseases. We focused on 2 chronic diseases in particular: arthritis and diabetes. Individuals with arthritis or diabetes were recruited using various web-based methods. Participants were randomly assigned to 1 of 2 groups. Those in the treatment group used a mental health chatbot app (Wysa [Wysa Inc]) over a period of 4 weeks. Those in the control group received no intervention. Participants completed measures of depression (Patient Health Questionnaire-9), anxiety (Generalized Anxiety Disorder Scale-7), and stress (Perceived Stress Scale-10) at baseline, with follow-up testing 2 and 4 weeks later. Participants in the treatment group completed feedback questions on their experiences with the app at the final assessment point. A total of 68 participants (n=47, 69% women; mean age 42.87, SD 11.27 years) were included in the analysis. Participants were divided evenly between the treatment and control groups. Those in the treatment group reported decreases in depression (P<.001) and anxiety (P<.001) severity over the study period. No such changes were found among participants in the control group. No changes in stress were reported by participants in either group. Participants with arthritis reported higher levels of depression (P=.004) and anxiety (P=.004) severity than participants with diabetes over the course of the study, as well as higher levels of stress (P=.01); otherwise, patterns of results were similar across these health conditions. In response to the feedback questions, participants in the treatment group said that they liked many of the functions and features of the app, the general design of the app, and the user experience. They also disliked some aspects of the app, with most of these reports focusing on the chatbot's conversational abilities. The results of this study suggest that mental health chatbots can be an effective source of mental health support for people with chronic diseases such as arthritis and diabetes. Although cost-effective and accessible, these programs have limitations and may not be well suited for all individuals. ClinicalTrials.gov NCT04620668; https://www.clinicaltrials.gov/study/NCT04620668.

Sections du résumé

BACKGROUND BACKGROUND
People with chronic diseases tend to experience more mental health issues than their peers without these health conditions. Mental health chatbots offer a potential source of mental health support for people with chronic diseases.
OBJECTIVE OBJECTIVE
The aim of this study was to determine whether a mental health chatbot can improve mental health in people with chronic diseases. We focused on 2 chronic diseases in particular: arthritis and diabetes.
METHODS METHODS
Individuals with arthritis or diabetes were recruited using various web-based methods. Participants were randomly assigned to 1 of 2 groups. Those in the treatment group used a mental health chatbot app (Wysa [Wysa Inc]) over a period of 4 weeks. Those in the control group received no intervention. Participants completed measures of depression (Patient Health Questionnaire-9), anxiety (Generalized Anxiety Disorder Scale-7), and stress (Perceived Stress Scale-10) at baseline, with follow-up testing 2 and 4 weeks later. Participants in the treatment group completed feedback questions on their experiences with the app at the final assessment point.
RESULTS RESULTS
A total of 68 participants (n=47, 69% women; mean age 42.87, SD 11.27 years) were included in the analysis. Participants were divided evenly between the treatment and control groups. Those in the treatment group reported decreases in depression (P<.001) and anxiety (P<.001) severity over the study period. No such changes were found among participants in the control group. No changes in stress were reported by participants in either group. Participants with arthritis reported higher levels of depression (P=.004) and anxiety (P=.004) severity than participants with diabetes over the course of the study, as well as higher levels of stress (P=.01); otherwise, patterns of results were similar across these health conditions. In response to the feedback questions, participants in the treatment group said that they liked many of the functions and features of the app, the general design of the app, and the user experience. They also disliked some aspects of the app, with most of these reports focusing on the chatbot's conversational abilities.
CONCLUSIONS CONCLUSIONS
The results of this study suggest that mental health chatbots can be an effective source of mental health support for people with chronic diseases such as arthritis and diabetes. Although cost-effective and accessible, these programs have limitations and may not be well suited for all individuals.
TRIAL REGISTRATION BACKGROUND
ClinicalTrials.gov NCT04620668; https://www.clinicaltrials.gov/study/NCT04620668.

Identifiants

pubmed: 38814681
pii: v8i1e50025
doi: 10.2196/50025
doi:

Banques de données

ClinicalTrials.gov
['NCT04620668']

Types de publication

Journal Article

Langues

eng

Pagination

e50025

Informations de copyright

©A Luke MacNeill, Shelley Doucet, Alison Luke. Originally published in JMIR Formative Research (https://formative.jmir.org), 30.05.2024.

Auteurs

A Luke MacNeill (AL)

Centre for Research in Integrated Care, University of New Brunswick, Saint John, NB, Canada.
Department of Nursing and Health Sciences, University of New Brunswick, Saint John, NB, Canada.

Shelley Doucet (S)

Centre for Research in Integrated Care, University of New Brunswick, Saint John, NB, Canada.
Department of Nursing and Health Sciences, University of New Brunswick, Saint John, NB, Canada.

Alison Luke (A)

Centre for Research in Integrated Care, University of New Brunswick, Saint John, NB, Canada.
Department of Nursing and Health Sciences, University of New Brunswick, Saint John, NB, Canada.

Classifications MeSH