Introducing supported self-management for depression to primary care in Vietnam: A feasibility study in preparation for a randomized controlled trial.
Bibliographic record
Abstract
INTRODUCTION: Although depression is a major contributor to the global burden of disease, services remain scarce in many low- and middle-income countries. In Vietnam, depression services are limited, and the government has recently prioritized primary care and community-based service integration. We conducted a pilot study in 2 districts of Hanoi to test the feasibility of (a) introducing a supported self-management (SSM) intervention for adult depression in primary care in Vietnam, and (b) conducting a randomized controlled trial (RCT) to test the effectiveness of the intervention. METHOD: We conducted focus groups with providers (n = 16) and community members (n = 32) to assess the appropriateness of an Antidepressant Skills Workbook for use in Vietnam. We trained providers (n = 23) to screen patients using the Self-Reporting Questionnaire-20 (SRQ-20) depression scale and to deliver SSM for a 2-month period. A total of 71 patients were eligible to participate in the study, with depression (SRQ-20) and disability (World Health Organization Disability Assessment Schedule 2.0) scores assessed at baseline and 1 and 2 months. RESULTS: Study results demonstrate the feasibility of conducting a full RCT in Vietnam and suggest that SSM is an appropriate care model for the Vietnamese context. There was a statistically significant decrease in depression symptoms on the SRQ-20 and in functional disability in all domains for the World Health Organization Disability Assessment Schedule 2.). CONCLUSION: Feasibility study results suggested that a full RCT was warranted. An unanticipated outcome of the study was the uptake of the model by the Ministry of Labor, Invalids, and Social Affairs in 2 additional provinces. (PsycINFO Database Record
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".