The impact of a coach-guided personalized depression risk communication program on the risk of major depressive episode: study protocol for a randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Depression is a highly prevalent and disabling mental health problem. Self-help has been strongly advocated for dealing with depression. Built upon the research on risk prediction modeling and risk communication, we developed a coach-guided, personalized depression risk communication tool (PDRC) for sharing information about individualized depression risk and evidence-based self-help strategies. The primary objective of this project is to evaluate the impact of the PDRC on the 12-month risk of major depressive episode (MDE) in Canadians who are at high risk of MDE. METHODS: This is an assessor-blinded randomized controlled trial (RCT) with two arms. We will recruit 500 males and 500 females in the communities across the country. Individuals are eligible, if they: (1) are 18 years or older, (2) have not had a depressive episode in the past two months, (3) are at high risk of MDE based on the sex-specific risk predictive algorithms for MDE (predicted risk of 6.5% + for men and of 11.2% + for women), (4) can communicate in either English or French, and (5) agree to be contacted for follow-up interviews. After screening and baseline assessment, participants will be randomized by sex into intervention and control group in a 1:1 ratio. Participants in the intervention group will receive the coach-guided PDRC. The participants are assessed at baseline, 3 and 12 months via computer assisted telephone interview system, regarding the presence of MDE, depressive and anxiety symptoms, use of self-help strategies, mental health services use and self-efficacy. DISCUSSION: The coach-guided PDRC may empower users to actively engage in self-management, leading to reduced risk of MDE. If successful, the coach-guided PDRC will lead to a novel selective prevention program that is closely aligned with the tiered mental health services model, contributing to early prevention of depression and better mental health wellbeing. DATE OF TRIAL REGISTRATION: 2024-10-02. PROTOCOL VERSION AND DATE: December 6, 2024. Version #1. TRIAL REGISTRATION: NCT06619366.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".