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Record W2741550754 · doi:10.2196/resprot.7348

A Web-Based Public Health Intervention to Reduce Functional Impairment and Depressive Symptoms in Adults With Type 2 Diabetes (The SpringboarD Trial): Randomized Controlled Trial Protocol

2017· article· en· W2741550754 on OpenAlexvenueno aff
Judith Proudfoot, Janine Clarke, Jane Gunn, Susan Fletcher, Samineh Sanatkar, Kay Wilhelm, Lesley V. Campbell, Nicholas Zwar, Mark Harris, Helen Lapsley, Dušan Hadži-Pavlović, Helen Christensen

Bibliographic record

VenueJMIR Research Protocols · 2017
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsnot available
FundersNational Health and Medical Research CouncilMedical Research CouncilAustralian Government
KeywordsType 2 diabetesIntervention (counseling)Randomized controlled trialDepression (economics)MedicinePublic healthGerontologyDiabetes mellitusPsychologyClinical psychologyPsychiatryNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Depressive symptoms are common in people with type 2 diabetes and contribute to adverse health consequences that substantially impact social and vocational function. Despite the existence of effective depression treatments, the majority of people with type 2 diabetes do not access these when needed. Web-based alternatives to more traditional psychotherapies offer a potential solution to reducing the personal and economic burdens of type 2 diabetes. OBJECTIVE: This paper outlines the protocol for a randomized controlled trial (RCT) of myCompass, a Web-based public health psychotherapy intervention, in people with type 2 diabetes. Fully automated, interactive, and delivered via the Internet without clinician support, myCompass teaches cognitive behavioral therapy-based skills and supports symptom monitoring to improve daily functioning and reduce mild-to-moderate mental health symptoms. METHODS: A two-arm RCT will be conducted. People with type 2 diabetes and mild-to-moderately severe depressive symptoms will be recruited from the community and general practice settings. Screening and enrollment is via an open-access website. Participants will be randomized to use either myCompass or an active placebo program for 8 weeks, followed by a 4-week tailing-off period. The placebo program is matched to myCompass on mode of delivery, interactivity, and duration. Outcomes will be assessed at baseline and at 3-month, 6-month, and 12-month follow-up. The primary study outcome is work and social functioning. Secondary study outcomes include depressive and anxious symptoms, diabetes-related distress, self-care behaviors, and glycemic control. RESULTS: Nationwide recruitment is currently underway with the aim of recruiting 600 people with type 2 diabetes. Recruitment will continue until October 2017. CONCLUSIONS: This is the first known trial of a Web-based psychotherapy program that is not diabetes specific for improving social and vocational function in people with type 2 diabetes and mild-to-moderately severe depressive symptoms. With the increasing prevalence of type 2 diabetes and depression, a potentially scalable public health intervention could play a very large role in reducing unmet mental health need and ameliorating the personal and societal impact of illness comorbidity. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR) Number: ACTRN12615000931572; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=368109 (Archived by WebCite at http://www.webcitation.org/ 6rh3imVMh).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.077
Threshold uncertainty score0.257

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.010
Meta-epidemiology (narrow)0.0060.003
Meta-epidemiology (broad)0.0100.005
Bibliometrics0.0020.003
Science and technology studies0.0020.003
Scholarly communication0.0030.004
Open science0.0030.002
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0770.009

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.111
GPT teacher head0.482
Teacher spread0.372 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2017
Admission routes1
Has abstractyes

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