Detecting young people with mental disorders: a cluster-randomised trial of multidisciplinary health teams at the GP office
Bibliographic record
Abstract
BACKGROUND: Young people with mental health challenges present a major global challenge. More than half of adults with mental disorders experience their onset before age 14, but early detection and intervention may change this course. Shared care with mental health professionals in general practitioner (GP) offices has demonstrated its potential for improvement in these conditions. AIM: To investigate whether shared care with mental health professionals in GP offices increases the detection of youth's mental health disorders and is associated with a decrease in use of unspecified symptom diagnoses, as a whole and stratified by patient and physician gender and age, and type of consulting physician. DESIGN AND SETTING: This was a stratified cluster-randomised controlled trial with data extraction from electronic records. Two GP offices were recruited from each of three boroughs. Each borough had 3-8 GP offices. One GP office was randomised to the intervention group and the other to the control group. METHOD: We used generalised linear mixed models to assess whether the intervention helped GPs identify more International Classification of Primary Care 2 diagnoses of depression, anxiety and unspecified symptoms in youth. RESULTS: Over a 18-month period between between 2015 and 2017, the intervention helped GPs identify more youth with anxiety (p=0.002 for interaction), but not depression. The increase was most significant among the patients' regular GPs, less when patients met other GPs and least among external substitute physicians. The frequency of diagnoses with unspecified symptoms decreased in the intervention arm. CONCLUSION: Shared care with mental health professionals located in GP office contributed to increased detection of youth with anxiety symptoms. The increase was most prominent when the primary care physician was the patient's regular GP. GPs need to pay greater attention to detecting anxiety in youth and embrace shared care models, thereby contributing to reduced mental health disorders in this age group. TRIAL REGISTRATION NUMBER: NCT03624829; Results.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".