Measuring depressive symptoms in the naturalistic primary-care setting
Bibliographic record
Abstract
BACKGROUND: The majority of individuals with major depressive disorder are diagnosed and treated in the primary-care setting. A quantifiable critical objective in the management of depression is to achieve and sustain full symptomatic remission. The HAMD-7 is a depression metric validated in both tertiary and primary-care settings. METHODS: Herein, we further characterise the psychometric properties of the HAMD-7 in depressed patients treated in primary-care settings. Several cut-scores were evaluated for maximum agreement; diagnostic efficacy statistics with the original HAMD-7 items were also evaluated. We compared performance of the HAMD-7 in primary care to a previously characterised tertiary sample. RESULTS: The depressive symptoms most frequently endorsed (>or=70%) and most sensitive to change during antidepressant treatment in depressed primary-care patients were depressed mood, guilt, work and activities, psychic and somatic anxiety and fatigue. LIMITATIONS: This is a post hoc analysis of a primary-care database; assumptions regarding the definition of symptomatic remission in depression affect interpretation. CONCLUSION: Measurement-based care with the HAMD-7 quantifies the severity of commonly reported depressive items and their responsivity to treatment. The HAMD-7, inclusive of the suicide item, is capable of tracking symptom progress, with a validated remission cut-score.
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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 | 0.004 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".