The social and structural determinants of sexual and reproductive health and rights in migrants and refugees: a systematic review of reviews
Bibliographic record
Abstract
BACKGROUND: The sexual and reproductive health and rights (SRHR) of migrants and refugees present important public health challenges. Social and structural determinants affect both the general health and SRHR of migrants, but the drivers of SRHR among migrant and refugee populations remain understudied. AIMS: To identify upstream social and structural determinants of SRHR health of migrants and refugees reported in systematic reviews. METHODS: We conducted a systematic review of reviews. We studied 3 aspects of SRHR: sexually transmitted infections, sexual violence and unintended pregnancy in migrants and refugees. We used an inductive approach to synthesize emerging themes, summarized them in a narrative format and made an adapted version of Dahlgren and Whitehead's social determinants of health (SDH) model. RESULTS: We included 12 systematic reviews, of which 10 were related to sexually transmitted infections, 4 to sexual violence and 2 to unintended pregnancy. We identified 6 themes that operate at 4 different levels in an adapted version of the Dahlgren and Whitehead SDH model: economic crisis and hostile discourse on migration; limited legal entitlements, rights and administrative barriers; inadequate resources and financial constraints; poor living and working conditions; cultural and linguistic barriers; and stigma and discrimination based on migration status, gender, sex and ethnicity. CONCLUSION: This review provides evidence of how upstream social and structural determinants undermine the SRHR of refugees and migrants. Unless these are addressed in policy-making and planning, the health of migrants and refugees is at risk.
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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 | 0.011 | 0.066 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.007 |
| Bibliometrics | 0.012 | 0.014 |
| 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".