Barriers and Facilitators of Social Supports for Immigrant and Refugee Women Coping With Postpartum Depression
Bibliographic record
Abstract
In Brief An emerging concern for health care providers is how to assist immigrant and refugee women adapt to a new milieu and to cope with postpartum depression (PPD). Thirty women were interviewed to find out their perspective on what factors influence their help-seeking behavior and decision making about postpartum care and what strategies would be helpful in PPD prevention and treatment. Findings reveal that (a) social support networks can be supportive or nonsupportive with widespread effects on physical and psychological health and well-being; (b) cultural background and socioeconomic factors influence seeking support; (c) health care relationship was viewed a critical determinant to seek and accept help for PPD. Thirty women were interviewed to find out their perspective on what factors influence their help seeking behavior and decision-making about postpartum care and what strategies would be helpful in postpartum depression (PPD) prevention and treatment. Findings reveal: (a) social support networks can be supportive or non-supportive with effects on physical and psychological health (b) cultural background and socioeconomic factors influence seeking support (c) health care relationship was viewed a critical determinant to seek and accept help for PPD. www.advancesinnursingscience.com
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".