85 Exploring reporting of ethno-racial identity and immigration status in published studies on children new to Canada: An integrative scoping review
Notice bibliographique
Résumé
Abstract Primary Subject area Global Child and Youth Health Background Children immigrating to Canada may face racism and xenophobia depending on their ethno-racial background and immigration status. In Canada, immigration statuses include economic or family immigrants, resettled government or privately sponsored refugees, or asylum seekers, while some have no formal immigration status, otherwise considered undocumented. Research supporting newcomer child health should account for their immigration status and ethno-racial identity to capture the impact of discrimination. Objectives To critically examine the reporting of ethno-racial data and immigration status in published literature on the health needs of newcomer children to Canada. Design/Methods An integrative scoping review was performed, using the methodological framework outlined by Arksey & O’Malley. A literature search in Medline, PsycINFO, Scopus, Embase and Cochrane Central for articles published until July 2019 was conducted. Inclusion criteria were original research studies on newcomer children (0-18 years) in Canada in English or French from 2009 onwards. After undergoing title and abstract review, we extracted descriptions of participant immigration status and ethno-racial identity. Results 4147 articles were identified. After removal of duplicates, 2632 articles underwent title and abstract review, with a kappa-statistic of 0.93, suggesting high inter-rater agreement. Seventy-five studies were included in the final analysis. Overall, there were no consistent descriptions of immigration status or ethno-racial identity. Of the 75 articles included for final analysis, only 27% (20/75) described their participants’ immigration status in some capacity; the majority (75%) of these did not separate out participants by their immigration status (15/20) and of these, 67% combined all types of refugee and economic immigrant statuses together (10/15). With respect to ethno-racial data, the majority of studies (65%, 49/75) did not report on their participants’ ethno-racial identities. Of those that did, 65% (17/26) reported their participants’ ethnicity alone, while only 15% (4/26) reported their race alone and 19% (5/26) reported both race and ethnicity. Conclusion Our scoping review demonstrates that many studies focusing on newcomer children to Canada do not consistently collect and analyze their participants’ immigration status or ethno-racial identity. In doing so, studies may falsely conflate the experiences of newcomer children and ignore the impact of racism and xenophobia on their access to care, leading to worsening stigma and access to care. We suggest that research that often informs evidence-based guidelines for newcomer children should consider immigration status and ethno-racial identity to consider the impact of xenophobia and racism and improve health outcomes.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,044 | 0,184 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,006 | 0,005 |
| Bibliométrie | 0,054 | 0,057 |
| Études des sciences et des technologies | 0,003 | 0,004 |
| Communication savante | 0,009 | 0,005 |
| Science ouverte | 0,004 | 0,005 |
| Intégrité de la recherche | 0,003 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».