Detecting antepartum and postpartum depression and anxiety symptoms and disorders in immigrant women: A scoping review of the literature
Bibliographic record
Abstract
A scoping review of the literature was conducted to compile existing evidence and identify gaps on detection methods and practices of antepartum and postpartum anxiety and depression symptoms and disorders in immigrant women. With the assistance of a health science librarian, four databases were searched between January and March 2016. Thirteen articles met the inclusion criteria and their findings were compiled using numerical summary and thematic analysis. No articles specifically addressing the screening of anxiety disorders or symptoms in antepartum or postpartum immigrant women were found. Some studies showed positive results for using translated tools. Other studies showed similarities in immigrant and non-immigrant assessment. However, several challenges in detection existed. Some of these challenges include cultural appropriateness of some questions and the accuracy of interpretive services and instrument translation. Limited literature was found, indicating a need to design and test targeted strategies to ensure that immigrant women are provided with appropriate antepartum and postpartum emotional support and mental health services based on appropriate policies and practices.
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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 | 0.008 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.021 | 0.017 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".