Racism against healthcare users in inpatient care: a scoping review
Notice bibliographique
Résumé
BACKGROUND: Racism in the healthcare system has become a burgeoning focus in health policy-making and research. Existing research has shown both interpersonal and structural forms of racism limiting access to quality healthcare for racialised healthcare users. Nevertheless, little is known about the specifics of racism in the inpatient sector, specifically hospitals and rehabilitation facilities. The aim of this scoping review is therefore to map the evidence on racial discrimination experienced by people receiving treatment in inpatient settings (hospitals and rehabilitation facilities) or their caregivers in high-income countries, focusing specifically on whether intersectional axes of discrimination have been taken into account when describing these experiences. METHODS: Based on the conceptual framework developed by Arksey and O'Malley, this scoping review surveyed existing research on racism and racial discrimination in inpatient care in high-income countries published between 2013 and 2023. The software Rayyan was used to support the screening process while MAXQDA was used for thematic coding. RESULTS: Forty-seven articles were included in this review. Specifics of the inpatient sector included different hospitalisation, admission and referral rates within and across hospitals; the threat of racial discrimination from other healthcare users; and the spatial segregation of healthcare users according to ethnic, religious or racialised criteria. While most articles described some interactions between race and other social categories in the sample composition, the framework of intersectionality was rarely considered explicitly during analysis. DISCUSSION: While the USA continue to predominate in discussions, other high-income countries including Canada, Australia and the UK also examine racism in their own healthcare systems. Absent from the literature are studies from a wider range of European countries as well as of racialised and disadvantaged groups other than refugees or recent immigrants. Research in this area would also benefit from an engagement with approaches to intersectionality in public health to produce a more nuanced understanding of the interactions of racism with other axes of discrimination. As inpatient care exhibits a range of specific structures, future research and policy-making ought to consider these specifics to develop targeted interventions, including training for non-clinical staff and robust, transparent and accessible complaint procedures.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,008 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».