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

      research-article
      , BSc, MSc 1 , , , BSc, MSc 2 , , BSc, PhD 3 , , BSc, MPhil, PhD 3 , , BSc, PhD 4 , , BSc, PhD 1 , , BSc, MSc, PhD 2 , , PhD 5 , , BSc 6 , , BSc, MA, PhD 7 , , MSc 8 , , MSc 9 , , BA, MA, PhD 6 , , MB BAO BCh, PhD 6 , , PhD 9 , , BSc, MSc, PhD 10 , , PhD 10 , , BEng, MSc 10 , , BSc, MSc 11 , , MA, MPH 12 , , BA, MPsychSc, PhD 1
      (Reviewer), (Reviewer)
      Journal of Medical Internet Research
      JMIR Publications
      conversational user interfaces, digital interventions, Warwick-Edinburgh Mental Well-Being Scale, Satisfaction With Life Scale, World Health Organization-Five Well-Being Index Scale, mental health, apps, health care, mixed methods, conversation agent, mental well-being, digital health intervention

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          Abstract

          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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          Most cited references40

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          Using thematic analysis in psychology

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            The Satisfaction With Life Scale.

            This article reports the development and validation of a scale to measure global life satisfaction, the Satisfaction With Life Scale (SWLS). Among the various components of subjective well-being, the SWLS is narrowly focused to assess global life satisfaction and does not tap related constructs such as positive affect or loneliness. The SWLS is shown to have favorable psychometric properties, including high internal consistency and high temporal reliability. Scores on the SWLS correlate moderately to highly with other measures of subjective well-being, and correlate predictably with specific personality characteristics. It is noted that the SWLS is Suited for use with different age groups, and other potential uses of the scale are discussed.
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              The WHO-5 Well-Being Index: a systematic review of the literature.

              The 5-item World Health Organization Well-Being Index (WHO-5) is among the most widely used questionnaires assessing subjective psychological well-being. Since its first publication in 1998, the WHO-5 has been translated into more than 30 languages and has been used in research studies all over the world. We now provide a systematic review of the literature on the WHO-5.
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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                2023
                6 July 2023
                : 25
                : e43051
                Affiliations
                [1 ] School of Psychology Ulster University Coleraine United Kingdom
                [2 ] Department of Social Sciences,Technology and Arts Luleå University of Technology Luleå Sweden
                [3 ] School of Computing, Ulster University Belfast United Kingdom
                [4 ] Department of Accounting, Finance & Economics, Ulster University Belfast United Kingdom
                [5 ] Department of Health, Education and Technology Luleå University of Technology Luleå Sweden
                [6 ] Department of Sport, Leisure & Childhood Studies Munster Technological University Cork Ireland
                [7 ] School of Art Ulster University Belfast United Kingdom
                [8 ] Department of Social and Health Management University of Eastern Finland Kuopio Finland
                [9 ] Department of Nursing Science University of Eastern Finland Kuopio Finland
                [10 ] Nimbus Research Centre Munster Technological University Cork Ireland
                [11 ] Research & Innovation, National Health Service Western Isles Scotland United Kingdom
                [12 ] Public Health Intelligence and Information Services National Health Service Western Isles Scotland United Kingdom
                Author notes
                Corresponding Author: Courtney Potts c.potts@ 123456ulster.ac.uk
                Author information
                https://orcid.org/0000-0002-5621-1611
                https://orcid.org/0000-0002-1481-5783
                https://orcid.org/0000-0002-1078-2232
                https://orcid.org/0000-0002-1554-0785
                https://orcid.org/0000-0001-6492-3953
                https://orcid.org/0000-0002-9677-0725
                https://orcid.org/0000-0001-9075-7979
                https://orcid.org/0000-0002-3876-7202
                https://orcid.org/0000-0003-1384-3384
                https://orcid.org/0000-0002-5161-4833
                https://orcid.org/0000-0001-9009-2989
                https://orcid.org/0000-0001-7496-8477
                https://orcid.org/0000-0001-6035-7181
                https://orcid.org/0000-0002-4670-5327
                https://orcid.org/0000-0002-1289-2611
                https://orcid.org/0000-0003-4091-4870
                https://orcid.org/0000-0001-9700-2595
                https://orcid.org/0000-0003-0930-7466
                https://orcid.org/0000-0003-3650-8191
                https://orcid.org/0000-0003-1711-1201
                https://orcid.org/0000-0002-8786-2118
                Article
                v25i1e43051
                10.2196/43051
                10359914
                37410537
                38d28d69-cea5-42a6-bbd2-f21905bf902d
                ©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.

                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.

                History
                : 28 September 2022
                : 9 November 2022
                : 30 November 2022
                : 31 January 2023
                Categories
                Original Paper
                Original Paper

                Medicine
                conversational user interfaces,digital interventions,warwick-edinburgh mental well-being scale,satisfaction with life scale,world health organization-five well-being index scale,mental health,apps,health care,mixed methods,conversation agent,mental well-being,digital health intervention

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