The Roles of Early Response and Sudden Gains on Depression Outcomes: Findings From a Randomized Controlled Trial of Behavioral Activation in Goa, India
Bibliographic record
Abstract
The Healthy Activity Program (HAP), a brief, lay-counselor-delivered, behavioral activation psychological treatment, was found to be effective in reducing depressive symptoms among primary care attendees in India. We now examine whether early response predicts depression (PHQ-9) outcomes at the primary endpoint of 3 months and sustained recovery at 12 months after enrollment and the extent to which this effect is influenced by sudden gains in the context of the larger randomized controlled trial. HAP participants ( N = 245) who exhibited an early response (150 of 245 or 61.2%), as defined by a 50% reduction in depressive symptoms from baseline to Session 3, had lower depressive symptom scores than those who did not at 3 months (5.29 vs. 10.75, F = 33.21, p < .001) and at 12 months (6.56 vs. 11.02, F = 21.84, p < .001). Further exploratory analyses suggested that this advantage was largely confined to the subset of early responders who also showed sudden gains (87 of 150).
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".