Use of inpatient mental health services by members of ethnic minority groups.

Snowden, Lonnie R., Cheung, Freda K.·1990·American Psychologist

Abstract

National data on psychiatric hospitalization point to marked ethnic-related differences. Blacks and Native Americans are considerably more likely than Whites to be hospitalized; Blacks are more likely than Whites to be admitted as schizophrenic and less likely to be diagnosed as having an affective disorder; Asian Americans/Pacific Islanders are less likely than Whites to be admitted, but remain for a lengthier stay, at least in state and county mental hospitals. These differences are clear-cut, but they ignore a major source of care: psychiatric hospitalization in placements other than psychiatric units and hospitals. Explanations for observed minority-White differences in hospitalization can be evaluated only partially or not at all: Such explanations include ethnic-related differences in socioeconomic standing and in the prevalence of major psychopathology; differential stigma, or capacity to tolerate or support a dysfunctional significant other; access and use of alternative services; and bias in the behavior of gatekeepers, especially practitioners assigning diagnostic labels and making involuntary commitment decisions. More research is needed to help explain these striking differences in utilization.

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Use of inpatient mental health services by members of ethnic minority groups. https://app.cochat.ai/papers/10.1037//0003-066x.45.3.347
The paper
Snowden, L. R., & Cheung, F. K. (1990). Use of inpatient mental health services by members of ethnic minority groups. American Psychologist. https://doi.org/10.1037//0003-066x.45.3.347

Data sources

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.