A SYSTEMATIC REVIEW OF QUESTIONNAIRES MEASURING THE HEALTH OF RESETTLING REFUGEE WOMEN
Bibliographic record
Abstract
Because many ethnically diverse refugee women resettle in industrialized countries, several biopsychosocial factors need to be considered in caring for them. This systematic review of studies conducted with female refugees, asylum-seekers, or "unspecified" immigrants based on six electronic databases was conducted to determine which questionnaires best measure relevant variables. Questionnaires were reviewed for measurement properties, application of translation theory, and quality of representation. Studies must have included > or = 1 measure of the following: general health; torture, abuse, sex-and-gender-based violence (SGBV); depression; stress; posttraumatic stress disorder (PTSD); anxiety; somatization; migration history; social support; socioeconomic status; discrimination; or mother-child interactions. Fifty-six studies using 47 questionnaires were identified; only five had strong evidence for use with resettling refugee women. Thus, few high-quality tools are available to measure concepts relevant to resettling refugee women's health.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".