Association of depression screening with diagnostic and treatment-related outcomes among youth
Bibliographic record
Abstract
Abstract Background and Objectives The goals of depression screening, which is universally recommended in primary care settings in the U.S., are to identify adolescents with depression and connect them to treatment. However, little is known about how depression screening affects the likelihood of being diagnosed with a mental disorder or accessing mental health care over time. Methods This longitudinal cohort study used insurance claims data from 57,732 adolescents who had at least one routine well-visit between 2014 and 2017. Using propensity score matching, we compared adolescents who were screened for depression to similar adolescents who were not screened for depression during the well-visit. Diagnostic and treatment-related outcomes were examined over 6-month follow-up and included depression diagnoses, mood-related diagnoses, antidepressant prescriptions, any mental health-related prescriptions, and psychotherapy. We also examined heterogeneity of associations by sex. Results Compared to adolescents who were not screened for depression, adolescents screened for depression were 30% more likely to be diagnosed with depression (RR=1.30, 95% CI=1.11-1.52) and 17% more likely to receive a mood-related diagnosis (RR=1.17, 95% CI=1.08-1.27), but were not more likely to be treated with an antidepressant prescription (RR=1.11, 95% CI=0.82-1.51), any mental health prescription (RR=1.15, 95% CI=0.87-1.53), or psychotherapy (RR=1.13, 95% CI=0.98-1.31). In general, associations were stronger among females. Conclusions Adolescents who were screened for depression during a well-visit were more likely to receive a diagnosis of depression or a mood-related disorder in the six months following screening. Future research should explore methods for increasing access to treatment and treatment uptake following screening. Clinical Trial Registration (if any) N/A Table of Contents Summary Insurance claims data were used to explore associations between depression screening during routine well-visits and depression diagnoses, psychiatric prescriptions, and psychotherapy among adolescents. What’s Known on This Subject Depression screening is increasingly viewed as a key strategy for addressing depression among adolescents. To inform clinical guidelines, the United States Preventive Services Task Force has called for research to examine the diagnostic and treatment-related outcomes of depression screening. What This Study Adds In a sample of 57,732 adolescents, adolescents who were screened for depression during a well-visit were more likely to receive a depression or mood-related diagnosis over 6-month follow-up, but were not more likely to be treated with medication or psychotherapy.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".