Interventions to improve migrants’ access to sexual and reproductive health services: a scoping review
Bibliographic record
Abstract
INTRODUCTION: Migrants' access to sexual and reproductive health (SRH) services is constrained by several individual, organisational and structural barriers. To address these barriers, many interventions have been developed and implemented worldwide to facilitate the access and utilisation of SRH services for migrant populations. The aim of this scoping review was to identify the characteristics and scope of interventions, their underlying theory of change, reported outcomes and key enablers and challenges to improve access to SRH services for migrants. METHODS: A scoping review was conducted according to the Arksey and O'Malley (2005) guidelines. We searched three electronic databases (MEDLINE, Scopus and Google Scholar) and carried out additional searches using manual searching and citations tracking of empirical studies addressing interventions aimed at improving access and utilisation of SRH services for migrant populations published in Arabic, French or English between 4 September 1997 and 31 December 2022. RESULTS: We screened a total of 4267 papers, and 47 papers met our inclusion criteria. We identified different forms of interventions: comprehensive (multiple individual, organisational and structural components) and focused interventions addressing specific individual attributes (knowledge, attitude, perceptions and behaviours). Comprehensive interventions also address structural and organisational barriers (ie, the ability to pay). The results suggest that coconstruction of interventions enables the building of contextual sensitive educational contents and improved communication and self-empowerment as well as self-efficacy of migrant populations, and thus improved access to SRH. CONCLUSION: More attention needs to be placed on participative approaches in developing interventions for migrants to improve access to SRH services.
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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 | 0.015 | 0.060 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.014 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".