Vr. Sanguineti et al., RETROSPECTIVE STUDY OF 2,200 INVOLUNTARY PSYCHIATRIC ADMISSIONS AND READMISSIONS, The American journal of psychiatry, 153(3), 1996, pp. 392-396
Objective: The authors describe demographic data, the distribution of
diagnoses, and comorbid psychoactive substance use in a large sample o
f patients involuntarily admitted to a psychiatric hospital from multi
ple crisis centers and explore the relative roles these variables may
play in service utilization and admission rates. Method: Data on demog
raphic characteristics and comorbid psychoactive substance use in 2,20
0 consecutive involuntary hospital admissions of 1,755 psychiatric pat
ients were gathered. Pertinent demographic and comorbidity data at fir
st admission for the 1,755 patients, 314 of whom were admitted more th
an once, were analyzed; then the data for the 1,441 single-admission p
atients and the data at first admission for the 314 patients who had m
ultiple admissions were compared. Finally, the diagnostic distribution
and comorbid psychoactive substance use in all 2,200 admissions were
investigated, with attention to a subgroup of 88 high-risk patients (t
hose with three or more admissions) who represented a total of 307 adm
issions. Results: Specific demographic characteristics were represente
d in the patient group at a high level of statistical significance. Th
e diagnosis of schizophrenia was significantly overrepresented. Schizo
phrenia and psychosis not elsewhere classified clustered in the subgro
up with a high risk of readmission. Conclusions: The results suggest a
specific profile for the patient with heightened risk of hospital adm
ission: a young, unmarried, African American male who has schizophreni
a without comorbid substance abuse. An effect size data analysis ident
ified marital status and a diagnosis of schizophrenia as the variables
associated with the greatest likelihood of admission. Unexpectedly, t
he impact of comorbid psychoactive substance use was relatively modest
and showed a uniform distribution among diagnostic groups.