Health outcomes in international migrant children: protocol for a systematic review
Bibliographic record
Abstract
Introduction Migration status is a key determinant of health, but health outcomes among migrant children and young people (CYP), that is, those aged under 18 years, are poorly understood. A ‘healthy migrant’ effect has been demonstrated among adults, but evidence for the same effect in CYP is lacking. No large studies or reviews exist reporting comprehensive or holistic health outcomes among migrant CYP. We aim to identify and synthesise original quantitative research on health of migrant CYP to explore the relations between migration status and health outcomes. Methods and analysis A search of PubMed/Medline, Embase, Cochrane and grey literature sites will be undertaken for any original quantitative research on health outcomes of migrant CYP from 01 January 2000 onwards. Outcomes addressed: mortality, communicable diseases, non-communicable diseases, nutritional status, mental health, disability, vaccine coverage, and accidental and non-accidental injuries (including assault and abuse). Search results will be screened and presented in a Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow diagram. The Newcastle–Ottawa Scale assessment tool will be used to assess study quality. If feasible, depending on study availability data heterogeneity (explored using I2statistic), results will be pooled for meta-analysis. If sufficient data are available, a priori defined subgroup analyses will be undertaken. A narrative quantitative synthesis will be presented, taking account of study quality and assessed risk of bias. The anticipated search completion date is 01 June 2021 with write-up completed by 01 April 2022. Ethics and dissemination Formal ethical approval will not be sought as we will be accessing data already in the public domain. This review will be submitted for publication in a high-impact journal and presented at international conferences. The results of this work will be shared with groups of migrant children as part of an ongoing engagement project. PROSPERO registration number CRD42020166305.
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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 | 0.078 | 0.082 |
| Meta-epidemiology (narrow) | 0.007 | 0.006 |
| Meta-epidemiology (broad) | 0.021 | 0.022 |
| Bibliometrics | 0.014 | 0.014 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.006 | 0.006 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.096 | 0.012 |
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".