Observational studyJournal of medical Internet research2020
The Effects of a Digital Well-Being Intervention on Patients With Chronic Conditions: Observational Study.
Observational study in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 3 syntheses or guidelines pooled it, 54 citations in OpenAlex.
- Engagement Strategies to Improve Adherence and Retention in Web-Based Mindfulness Programs: Systematic Review.Journal of medical Internet research · 2022Pooled it
- A mixed methods systematic review of digital interventions to support the psychological health and well-being of people living with dermatological conditions.Frontiers in medicine · 2022Pooled it
- Just-in-Time Adaptive Mechanisms of Popular Mobile Apps for Individuals With Depression: Systematic App Search and Literature Review.Journal of medical Internet research · 2021Pooled it
- Effects of a Digital Mental Health Intervention on Perceived Stress and Rumination in Adolescents Aged 13 to 17 Years: Randomized Controlled Trial.Journal of medical Internet research · 2024Trial
- The role of gratitude and optimism interventions in reducing suicide risk and enhancing wellbeing among university students.BMC psychology · 2026Article
- The Impact of a Health Coaching App on the Subjective Well-Being of Individuals With Multimorbidity: Mixed Methods Study.Journal of medical Internet research · 2026Article
- The Italian landscape of digital therapeutics in a European context.Frontiers in digital health · 2026Review
- Validation of a novel patient-reported measure of the burden of digital care in diabetes.BMC medicine · 2025Article
- Association between subjective well-being and low muscle mass among Chinese older adults: a nationwide cross-sectional study.BMC geriatrics · 2025Article
- Development of the TBQ+D: A Novel Patient-Reported Measure of The Burden of Digital Care.Patient preference and adherence · 2025Article
- Promoting Well-Being from a Gender Perspective: A Systematic Review of Interventions Using Digital Tools and Serious Games.Behavioral sciences (Basel, Switzerland) · 2024Review
- Effects of a Digital Care Pathway for Multiple Sclerosis: Observational Study.JMIR human factors · 2024Observational
- Article
- Will they or won't they? Understanding New Zealand adults' attitudes towards using digital interventions.Frontiers in digital health · 2023Article
- Surgeons Attitude toward Psychosocial Aspects of Trapeziometacarpal Osteoarthritis.Journal of hand and microsurgery · 2022Article
- Positive Psychology Themes in Interviews of Children With Atopic Dermatitis: Qualitative Study.JMIR pediatrics and parenting · 2022Article
- The Effects of a Digital Well-being Intervention on Older Adults: Retrospective Analysis of Real-world User Data.JMIR aging · 2022Article
- Mobile Applications in Mood Disorders and Mental Health: Systematic Search in Apple App Store and Google Play Store and Review of the Literature.International journal of environmental research and public health · 2022Review
- The Impact of Sleep Quality on Subjective Wellbeing Among Older Adults With Multimorbidity: A Moderated Mediation Model.Frontiers in psychology · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChronic 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.
objectiveThis study aimed to compare change in well-being over time after using Happify for users with and without a chronic condition.
methodsData 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.
resultsAt 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.
conclusionsData 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.