Experiences of nurses caring for maternal immigrant and refugee women: a qualitative systematic review protocol
Bibliographic record
Abstract
OBJECTIVE: This review will focus on studies inquiring into nurses working across diverse health care settings and their experiences of caring for immigrant and refugee women who are pregnant or mothering. Within this review, diverse terminologies used to conceptualize "nurse," immigrant," and "refugee" will also be captured. INTRODUCTION: Immigrant and refugee women who are pregnant or mothering experience poorer health than non-displaced women. Nurses are pivotal in providing care to this population. Understanding nursing experiences can reveal structural barriers and facilitators to equitable care provision. INCLUSION CRITERIA: Peer-reviewed, qualitative studies that include nurses working across diverse health care settings and providing care to involuntary immigrant and refugee maternal women will be considered. Studies where nurses are described as being educated within a basic and generalized nursing program and have been authorized by a regulatory organization to practice nursing in their country will be included. METHODS: Key information sources searched include CINAHL, PsycINFO, MEDLINE, Google Scholar, Web of Science, and PubMed. Search terms will be adapted for each information source. Study selection includes screening titles and abstracts by two independent reviewers against the inclusion criteria. These reviewers will then critically appraise for methodological quality and begin data extraction to understand experiences of nurses and diverse understandings of "nurse," "immigrant," and "refugee." Synthesis includes assembling and categorizing findings on the basis of meaning similarity. A set of statements will be generated representing this synthesis. SYSTEMATIC REVIEW REGISTRATION NUMBER: PROSPERO CRD42019137922.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".