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The Effects of a Digital Well-Being Intervention on Patients With Chronic Conditions: Observational Study

BACKGROUND: Chronic conditions account for 75% of health care costs, and the impact of chronic illness is expected to grow over time. Although subjective well-being predicts better health outcomes, people with chronic conditions tend to report lower well-being. Improving well-being might mitigate co...

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Autores principales: Parks, Acacia C, Williams, Allison L, Kackloudis, Gina M, Stafford, Julia L, Boucher, Eliane M, Honomichl, Ryan D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6996718/
https://www.ncbi.nlm.nih.gov/pubmed/31922491
http://dx.doi.org/10.2196/16211
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author Parks, Acacia C
Williams, Allison L
Kackloudis, Gina M
Stafford, Julia L
Boucher, Eliane M
Honomichl, Ryan D
author_facet Parks, Acacia C
Williams, Allison L
Kackloudis, Gina M
Stafford, Julia L
Boucher, Eliane M
Honomichl, Ryan D
author_sort Parks, Acacia C
collection PubMed
description BACKGROUND: Chronic conditions account for 75% of health care costs, and the impact of chronic illness is expected to grow over time. Although subjective well-being predicts better health outcomes, people with chronic conditions tend to report lower well-being. Improving well-being might mitigate costs associated with chronic illness; however, existing interventions can be difficult to access and draw from a single theoretical approach. Happify, a digital well-being intervention program drawing from multiple theoretical traditions to target well-being, has already been established as an efficacious means of improving well-being in both distressed and nondistressed users. OBJECTIVE: This study aimed to compare change in well-being over time after using Happify for users with and without a chronic condition. METHODS: Data were obtained from Happify users, a publicly available digital well-being program accessible via website or mobile phone app. Users work on tracks addressing a specific issue (eg, conquering negative thoughts) composed of games and activities based on positive psychology, cognitive behavioral therapy, and mindfulness principles. The sample included 821 users receiving at least 6 weeks’ exposure to Happify (ranging from 42 to 179 days) who met other inclusion criteria. As part of a baseline questionnaire, respondents reported demographic information (age and gender) and whether they had any of the prespecified chronic conditions: arthritis, diabetes, insomnia, multiple sclerosis, chronic pain, psoriasis, eczema, or some other condition (450 reported a chronic condition, whereas 371 did not). Subjective well-being was assessed with the Happify Scale, a 9-item measure of positive emotionality and life satisfaction. To evaluate changes in well-being over time, a mixed effects linear regression model was fit for subjective well-being, controlling for demographics and platform usage. RESULTS: At baseline, users with a chronic condition had significantly lower subjective well-being (mean 38.34, SD 17.40) than users without a chronic condition (mean 43.65, SD 19.13). However, change trajectories for users with or without a chronic condition were not significantly different; both groups experienced equivalent improvements in well-being. We also found an effect for time from baseline (b=0.071; SE=0.010; P<.01) and number of activities completed (b=0.03; SE=0.009; P<.01), and a 2-way interaction between number of activities completed and time from baseline (b=0.0002; SE=0.00006; P<.01), such that completing more activities and doing so over increasingly longer periods produced improved well-being scores. CONCLUSIONS: Data from this study support the conclusion that users with a chronic condition experienced significant improvement over time. Despite reporting lower subjective well-being on the whole, their change trajectory while using Happify was equivalent to those without a chronic condition. Consistent with past research, users who completed more activities over a longer period showed the most improvement. In short, the presence of a chronic condition did not prevent users from showing improved well-being when using Happify.
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spelling pubmed-69967182020-02-20 The Effects of a Digital Well-Being Intervention on Patients With Chronic Conditions: Observational Study Parks, Acacia C Williams, Allison L Kackloudis, Gina M Stafford, Julia L Boucher, Eliane M Honomichl, Ryan D J Med Internet Res Original Paper BACKGROUND: Chronic conditions account for 75% of health care costs, and the impact of chronic illness is expected to grow over time. Although subjective well-being predicts better health outcomes, people with chronic conditions tend to report lower well-being. Improving well-being might mitigate costs associated with chronic illness; however, existing interventions can be difficult to access and draw from a single theoretical approach. Happify, a digital well-being intervention program drawing from multiple theoretical traditions to target well-being, has already been established as an efficacious means of improving well-being in both distressed and nondistressed users. OBJECTIVE: This study aimed to compare change in well-being over time after using Happify for users with and without a chronic condition. METHODS: Data were obtained from Happify users, a publicly available digital well-being program accessible via website or mobile phone app. Users work on tracks addressing a specific issue (eg, conquering negative thoughts) composed of games and activities based on positive psychology, cognitive behavioral therapy, and mindfulness principles. The sample included 821 users receiving at least 6 weeks’ exposure to Happify (ranging from 42 to 179 days) who met other inclusion criteria. As part of a baseline questionnaire, respondents reported demographic information (age and gender) and whether they had any of the prespecified chronic conditions: arthritis, diabetes, insomnia, multiple sclerosis, chronic pain, psoriasis, eczema, or some other condition (450 reported a chronic condition, whereas 371 did not). Subjective well-being was assessed with the Happify Scale, a 9-item measure of positive emotionality and life satisfaction. To evaluate changes in well-being over time, a mixed effects linear regression model was fit for subjective well-being, controlling for demographics and platform usage. RESULTS: At baseline, users with a chronic condition had significantly lower subjective well-being (mean 38.34, SD 17.40) than users without a chronic condition (mean 43.65, SD 19.13). However, change trajectories for users with or without a chronic condition were not significantly different; both groups experienced equivalent improvements in well-being. We also found an effect for time from baseline (b=0.071; SE=0.010; P<.01) and number of activities completed (b=0.03; SE=0.009; P<.01), and a 2-way interaction between number of activities completed and time from baseline (b=0.0002; SE=0.00006; P<.01), such that completing more activities and doing so over increasingly longer periods produced improved well-being scores. CONCLUSIONS: Data from this study support the conclusion that users with a chronic condition experienced significant improvement over time. Despite reporting lower subjective well-being on the whole, their change trajectory while using Happify was equivalent to those without a chronic condition. Consistent with past research, users who completed more activities over a longer period showed the most improvement. In short, the presence of a chronic condition did not prevent users from showing improved well-being when using Happify. JMIR Publications 2020-01-10 /pmc/articles/PMC6996718/ /pubmed/31922491 http://dx.doi.org/10.2196/16211 Text en ©Acacia C Parks, Allison L Williams, Gina M Kackloudis, Julia L Stafford, Eliane M Boucher, Ryan D Honomichl. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 10.01.2020. 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 http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Parks, Acacia C
Williams, Allison L
Kackloudis, Gina M
Stafford, Julia L
Boucher, Eliane M
Honomichl, Ryan D
The Effects of a Digital Well-Being Intervention on Patients With Chronic Conditions: Observational Study
title The Effects of a Digital Well-Being Intervention on Patients With Chronic Conditions: Observational Study
title_full The Effects of a Digital Well-Being Intervention on Patients With Chronic Conditions: Observational Study
title_fullStr The Effects of a Digital Well-Being Intervention on Patients With Chronic Conditions: Observational Study
title_full_unstemmed The Effects of a Digital Well-Being Intervention on Patients With Chronic Conditions: Observational Study
title_short The Effects of a Digital Well-Being Intervention on Patients With Chronic Conditions: Observational Study
title_sort effects of a digital well-being intervention on patients with chronic conditions: observational study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6996718/
https://www.ncbi.nlm.nih.gov/pubmed/31922491
http://dx.doi.org/10.2196/16211
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