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Psychiatry Res ; 330: 115560, 2023 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-37956588

RESUMO

Racism is a social determinant of mental health which has a disproportionally negative impact on the experiences of psychiatric inpatients of color. Distinct differences in the physical space and clinical settings of two inpatient buildings at a hospital system in the tristate (New York, New Jersey, Connecticut) area of the United States led to the present investigation of racial inequities in the assignment of patients to specific buildings and units. Archival electronic medical record data were analyzed from over 18,000 unique patients over a period of six years. Hierarchical logistic regression analyses were conducted with assigned building (old vs. new building) as the binary outcome variable. Non-Hispanic White patients were set as the reference group. Black, Hispanic/Latinx, and Asian patients were significantly less likely to be assigned to better resourced units in the new building. When limiting the analysis to only general adult units, Black and Hispanic/Latinx patients were significantly less likely to be assigned to units in the new building. These results suggest ethnoracial inequities in patient assignment to buildings which differed in clinical and physical conditions. The findings serve as a call to action for hospital systems to examine the ways in which structural racism impact clinical care.


Assuntos
Disparidades em Assistência à Saúde , Hospitais Psiquiátricos , Racismo , Determinantes Sociais da Saúde , Adulto , Humanos , População Negra , Hispânico ou Latino , Pacientes Internados/psicologia , Pacientes Internados/estatística & dados numéricos , Grupos Raciais/etnologia , Grupos Raciais/psicologia , Grupos Raciais/estatística & dados numéricos , Racismo/etnologia , Racismo/estatística & dados numéricos , Estados Unidos , Hospitais Psiquiátricos/estatística & dados numéricos , Determinantes Sociais da Saúde/etnologia , Determinantes Sociais da Saúde/estatística & dados numéricos , Brancos , Asiático , Disparidades em Assistência à Saúde/etnologia , Disparidades em Assistência à Saúde/estatística & dados numéricos
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