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A Multilingual Digital Mental Health and Well-Being Chatbot (ChatPal): Pre-Post Multicenter Intervention Study

BACKGROUND: In recent years, advances in technology have led to an influx of mental health apps, in particular the development of mental health and well-being chatbots, which have already shown promise in terms of their efficacy, availability, and accessibility. The ChatPal chatbot was developed to...

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Autores principales: Potts, Courtney, Lindström, Frida, Bond, Raymond, Mulvenna, Maurice, Booth, Frederick, Ennis, Edel, Parding, Karolina, Kostenius, Catrine, Broderick, Thomas, Boyd, Kyle, Vartiainen, Anna-Kaisa, Nieminen, Heidi, Burns, Con, Bickerdike, Andrea, Kuosmanen, Lauri, Dhanapala, Indika, Vakaloudis, Alex, Cahill, Brian, MacInnes, Marion, Malcolm, Martin, O'Neill, Siobhan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10359914/
https://www.ncbi.nlm.nih.gov/pubmed/37410537
http://dx.doi.org/10.2196/43051
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author Potts, Courtney
Lindström, Frida
Bond, Raymond
Mulvenna, Maurice
Booth, Frederick
Ennis, Edel
Parding, Karolina
Kostenius, Catrine
Broderick, Thomas
Boyd, Kyle
Vartiainen, Anna-Kaisa
Nieminen, Heidi
Burns, Con
Bickerdike, Andrea
Kuosmanen, Lauri
Dhanapala, Indika
Vakaloudis, Alex
Cahill, Brian
MacInnes, Marion
Malcolm, Martin
O'Neill, Siobhan
author_facet Potts, Courtney
Lindström, Frida
Bond, Raymond
Mulvenna, Maurice
Booth, Frederick
Ennis, Edel
Parding, Karolina
Kostenius, Catrine
Broderick, Thomas
Boyd, Kyle
Vartiainen, Anna-Kaisa
Nieminen, Heidi
Burns, Con
Bickerdike, Andrea
Kuosmanen, Lauri
Dhanapala, Indika
Vakaloudis, Alex
Cahill, Brian
MacInnes, Marion
Malcolm, Martin
O'Neill, Siobhan
author_sort Potts, Courtney
collection PubMed
description BACKGROUND: In recent years, advances in technology have led to an influx of mental health apps, in particular the development of mental health and well-being chatbots, which have already shown promise in terms of their efficacy, availability, and accessibility. The ChatPal chatbot was developed to promote positive mental well-being among citizens living in rural areas. ChatPal is a multilingual chatbot, available in English, Scottish Gaelic, Swedish, and Finnish, containing psychoeducational content and exercises such as mindfulness and breathing, mood logging, gratitude, and thought diaries. OBJECTIVE: The primary objective of this study is to evaluate a multilingual mental health and well-being chatbot (ChatPal) to establish if it has an effect on mental well-being. Secondary objectives include investigating the characteristics of individuals that showed improvements in well-being along with those with worsening well-being and applying thematic analysis to user feedback. METHODS: A pre-post intervention study was conducted where participants were recruited to use the intervention (ChatPal) for a 12-week period. Recruitment took place across 5 regions: Northern Ireland, Scotland, the Republic of Ireland, Sweden, and Finland. Outcome measures included the Short Warwick-Edinburgh Mental Well-Being Scale, the World Health Organization-Five Well-Being Index, and the Satisfaction with Life Scale, which were evaluated at baseline, midpoint, and end point. Written feedback was collected from participants and subjected to qualitative analysis to identify themes. RESULTS: A total of 348 people were recruited to the study (n=254, 73% female; n=94, 27% male) aged between 18 and 73 (mean 30) years. The well-being scores of participants improved from baseline to midpoint and from baseline to end point; however, improvement in scores was not statistically significant on the Short Warwick-Edinburgh Mental Well-Being Scale (P=.42), the World Health Organization-Five Well-Being Index (P=.52), or the Satisfaction With Life Scale (P=.81). Individuals that had improved well-being scores (n=16) interacted more with the chatbot and were significantly younger compared to those whose well-being declined over the study (P=.03). Three themes were identified from user feedback, including “positive experiences,” “mixed or neutral experiences,” and “negative experiences.” Positive experiences included enjoying exercises provided by the chatbot, while most of the mixed, neutral, or negative experiences mentioned liking the chatbot overall, but there were some barriers, such as technical or performance errors, that needed to be overcome. CONCLUSIONS: Marginal improvements in mental well-being were seen in those who used ChatPal, albeit nonsignificant. We propose that the chatbot could be used along with other service offerings to complement different digital or face-to-face services, although further research should be carried out to confirm the effectiveness of this approach. Nonetheless, this paper highlights the need for blended service offerings in mental health care.
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spelling pubmed-103599142023-07-22 A Multilingual Digital Mental Health and Well-Being Chatbot (ChatPal): Pre-Post Multicenter Intervention Study Potts, Courtney Lindström, Frida Bond, Raymond Mulvenna, Maurice Booth, Frederick Ennis, Edel Parding, Karolina Kostenius, Catrine Broderick, Thomas Boyd, Kyle Vartiainen, Anna-Kaisa Nieminen, Heidi Burns, Con Bickerdike, Andrea Kuosmanen, Lauri Dhanapala, Indika Vakaloudis, Alex Cahill, Brian MacInnes, Marion Malcolm, Martin O'Neill, Siobhan J Med Internet Res Original Paper BACKGROUND: In recent years, advances in technology have led to an influx of mental health apps, in particular the development of mental health and well-being chatbots, which have already shown promise in terms of their efficacy, availability, and accessibility. The ChatPal chatbot was developed to promote positive mental well-being among citizens living in rural areas. ChatPal is a multilingual chatbot, available in English, Scottish Gaelic, Swedish, and Finnish, containing psychoeducational content and exercises such as mindfulness and breathing, mood logging, gratitude, and thought diaries. OBJECTIVE: The primary objective of this study is to evaluate a multilingual mental health and well-being chatbot (ChatPal) to establish if it has an effect on mental well-being. Secondary objectives include investigating the characteristics of individuals that showed improvements in well-being along with those with worsening well-being and applying thematic analysis to user feedback. METHODS: A pre-post intervention study was conducted where participants were recruited to use the intervention (ChatPal) for a 12-week period. Recruitment took place across 5 regions: Northern Ireland, Scotland, the Republic of Ireland, Sweden, and Finland. Outcome measures included the Short Warwick-Edinburgh Mental Well-Being Scale, the World Health Organization-Five Well-Being Index, and the Satisfaction with Life Scale, which were evaluated at baseline, midpoint, and end point. Written feedback was collected from participants and subjected to qualitative analysis to identify themes. RESULTS: A total of 348 people were recruited to the study (n=254, 73% female; n=94, 27% male) aged between 18 and 73 (mean 30) years. The well-being scores of participants improved from baseline to midpoint and from baseline to end point; however, improvement in scores was not statistically significant on the Short Warwick-Edinburgh Mental Well-Being Scale (P=.42), the World Health Organization-Five Well-Being Index (P=.52), or the Satisfaction With Life Scale (P=.81). Individuals that had improved well-being scores (n=16) interacted more with the chatbot and were significantly younger compared to those whose well-being declined over the study (P=.03). Three themes were identified from user feedback, including “positive experiences,” “mixed or neutral experiences,” and “negative experiences.” Positive experiences included enjoying exercises provided by the chatbot, while most of the mixed, neutral, or negative experiences mentioned liking the chatbot overall, but there were some barriers, such as technical or performance errors, that needed to be overcome. CONCLUSIONS: Marginal improvements in mental well-being were seen in those who used ChatPal, albeit nonsignificant. We propose that the chatbot could be used along with other service offerings to complement different digital or face-to-face services, although further research should be carried out to confirm the effectiveness of this approach. Nonetheless, this paper highlights the need for blended service offerings in mental health care. JMIR Publications 2023-07-06 /pmc/articles/PMC10359914/ /pubmed/37410537 http://dx.doi.org/10.2196/43051 Text en ©Courtney Potts, Frida Lindström, Raymond Bond, Maurice Mulvenna, Frederick Booth, Edel Ennis, Karolina Parding, Catrine Kostenius, Thomas Broderick, Kyle Boyd, Anna-Kaisa Vartiainen, Heidi Nieminen, Con Burns, Andrea Bickerdike, Lauri Kuosmanen, Indika Dhanapala, Alex Vakaloudis, Brian Cahill, Marion MacInnes, Martin Malcolm, Siobhan O'Neill. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 06.07.2023. https://creativecommons.org/licenses/by/4.0/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 the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Potts, Courtney
Lindström, Frida
Bond, Raymond
Mulvenna, Maurice
Booth, Frederick
Ennis, Edel
Parding, Karolina
Kostenius, Catrine
Broderick, Thomas
Boyd, Kyle
Vartiainen, Anna-Kaisa
Nieminen, Heidi
Burns, Con
Bickerdike, Andrea
Kuosmanen, Lauri
Dhanapala, Indika
Vakaloudis, Alex
Cahill, Brian
MacInnes, Marion
Malcolm, Martin
O'Neill, Siobhan
A Multilingual Digital Mental Health and Well-Being Chatbot (ChatPal): Pre-Post Multicenter Intervention Study
title A Multilingual Digital Mental Health and Well-Being Chatbot (ChatPal): Pre-Post Multicenter Intervention Study
title_full A Multilingual Digital Mental Health and Well-Being Chatbot (ChatPal): Pre-Post Multicenter Intervention Study
title_fullStr A Multilingual Digital Mental Health and Well-Being Chatbot (ChatPal): Pre-Post Multicenter Intervention Study
title_full_unstemmed A Multilingual Digital Mental Health and Well-Being Chatbot (ChatPal): Pre-Post Multicenter Intervention Study
title_short A Multilingual Digital Mental Health and Well-Being Chatbot (ChatPal): Pre-Post Multicenter Intervention Study
title_sort multilingual digital mental health and well-being chatbot (chatpal): pre-post multicenter intervention study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10359914/
https://www.ncbi.nlm.nih.gov/pubmed/37410537
http://dx.doi.org/10.2196/43051
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