Mobile phone and web-based cognitive behavior therapy for depressive symptoms and mental health comorbidities in people living with diabetes: results of a feasibility study
Open accessAbstract
BACKGROUND: Depression is often comorbid with diabetes; however, undertreatment of depressive symptoms in people affected is common. OBJECTIVE: We studied preliminary acceptability and effectiveness of a fully automated, mobile phone, and web-based public health intervention, myCompass, for reducing depressive symptoms and improving mental health comorbidities in people with diabetes. METHODS: In this single-group feasibility study, 89 volunteers with type 1 (n=34) or type 2 (n=55) diabetes and at least mild depressive symptoms used myCompass for 7 weeks. Web-based measures of depressive and anxious symptoms, functional impairment, diabetes-specific variables, and user satisfaction were completed at baseline, postintervention, and 3-month follow-up. RESULTS: Retention rates were 54% (n=48) at postintervention and 36% (n=32) at follow-up. Depressive symptoms were significantly improved at postintervention (P<.001; within-group effect size d=1.05), with gains persisting at follow-up. Mental health comorbidities, including anxiety (P<.001), functioning (P<.001), and diabetes-specific distress (P<.001), also showed significant and sustained improvement. Satisfaction with myCompass was high, with convenience and ease of program use, and relevance of program content rated positively by participants. CONCLUSIONS: The myCompass program shows promise as an acceptable and effective treatment for depression and comorbid mental health problems in people with diabetes. The program is broadly available, free to use, and may benefit patients with diabetes who do not access services and/or wish to manage their mental health themselves. Replication of these findings in a controlled study is warranted.
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The original myCompass self-guided program has been shown to reduce symptoms of depression and anxiety in previous community studies (n = 89; n = 720).
“The original myCompass self-guided program has been shown to reduce symptoms of depression and anxiety in previous community studies (n = 89; n = 720) (Clarke et al., 2016; Proudfoot et al., 2013).”
From Predictors of acceptability and engagement in a self-guided online program for depression and anxiety (2021) · cites this paper as Clarke et al., 2016
The Discussion (Principal Findings; page unavailable) reports significant, persistent reductions in depression and anxiety symptoms after myCompass use. But Clarke et al.’s n=89 study enrolled people with diabetes, not a general community sample; the Introduction describes earlier myCompass findings, while this paper does not establish the claimed n=720 sample size. (LLM, conf=0.88)
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- Authors
- Clarke, J., Proudfoot, J., & Ma, H.
- Affiliations
- Black Dog Institute (AU)
- Corresponding author
- Clarke, Janine
- Venue
- JMIR Mental Health
- Publisher
- JMIR Publications Inc.
- Published
- 2016-05-31
- Volume
- 3
- Issue
- 2
- Pages
- e23
- ISSN
- 2368-7959 (ISSN-L)
- PMC
- PMC4908303
- OpenAlex
- W2417501979
- Cited by
- 26
- References
- 60
- Citations by year
- 2025: 2 · 2024: 3 · 2023: 4 · 2022: 3 · 2021: 2 · 2020: 3 · 2019: 3 · 2018: 1 · 2017: 5
- FWCI
- 4.62
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR Mental Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Diabetes Australia
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- cognitive behavioral therapy, depression, diabetes mellitus, depressive symptoms, anxiety, diabetes distress, psychiatric comorbidity, mobile health, online intervention, type 1 diabetes, type 2 diabetes, user satisfaction, retention, functional disability
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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