Selection of depression measures for use among Vietnamese populations in primary care settings: a scoping review
Bibliographic record
Abstract
Depression is an important and growing contributor to the burden of disease around the world and evidence suggests the experience of depression varies cross-culturally. Efforts to improve the integration of services for depression in primary care are increasing globally, meaning that culturally valid measures that are acceptable for use in primary care settings are needed. We conducted a scoping review of 27 studies that validated or used 10 measures of depression in Vietnamese populations. We reviewed the validity of the instruments as reported in the studies and qualitatively assessed cultural validity and acceptability for use in primary care. We found much variation in the methods used to validate the measures, with an emphasis on criterion validity and reliability. Enhanced evaluation of content and construct validity is needed to ensure validity within diverse cultural contexts such as Vietnam. For effective use in primary care, measures must be further evaluated for their brevity and ease of use. To identify appropriate measures for use in primary care in diverse populations, assessment must balance standard validity testing with enhanced testing for appropriateness in terms of culture, language, and gender and for acceptability for use in primary care.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 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".