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Record W3080980575 · doi:10.11124/jbies-20-00054

Access and use of sexual and reproductive health services among resettled refugee and refugee-claimant women in high-income countries: a scoping review protocol

2020· review· en· W3080980575 on OpenAlexaff
Emma Stirling-Cameron, Salma Almukhaini, Justine Dol, Megan Aston

Bibliographic record

VenueJBI Evidence Synthesis · 2020
Typereview
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsCapital District Health AuthorityDalhousie University
Fundersnot available
KeywordsRefugeeReproductive healthPlaintiffMedicinePopulationPolitical scienceEnvironmental healthLaw

Abstract

fetched live from OpenAlex

OBJECTIVE: The purpose of this review is to understand access to and use of sexual and reproductive health services among resettled refugees and refugee-claimant women in high-income countries. INTRODUCTION: Sexual and reproductive health is a critical component of women's well-being and quality of life. Refugee and refugee-claimant women have demonstrated a lower level of sexual health knowledge and reduced usage of sexual and reproductive health services after resettling in high-income countries. This has led to negative outcomes among resettled refugee populations, including unwanted pregnancies and abortion, lower than recommended rates of cervical cancer screening, high rates of sexually transmitted infections, and non-consensual sex. Despite these negative outcomes, no review has been conducted to understand access to and use of sexual and reproductive health services among resettled refugee women in high-income countries. INCLUSION CRITERIA: This scoping review will seek to identify studies that describe access to and use of sexual and reproductive health services among refugee and refugee-claimant women who have resettled in a high-income country. Evidence from qualitative, quantitative, mixed method studies, and gray literature will be included. METHODS: This review will be conducted in accordance with JBI methodology for scoping reviews. A comprehensive search strategy, developed with a librarian scientist, will be used to identify relevant sources. Titles, abstracts, and full texts will be evaluated against inclusion criteria. Information will be extracted by two independent reviewers using a screening tool. Data will be synthesized and presented narratively, with tables and figures where appropriate.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.199
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.054
GPT teacher head0.444
Teacher spread0.390 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations5
Published2020
Admission routes1
Has abstractyes

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