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Gender differences among civilly committed schizophrenia subjects

V R Sanguineti1, S E Samuel, S L Schwartz

  • 1Dept. of Psychiatry and Human Behavior, Thomas Jefferson University Hospital, Philadelphia, PA 19107, USA.

Schizophrenia Bulletin
|January 1, 1996
PubMed
Summary
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This study analyzed 815 acutely ill schizophrenia patients admitted for involuntary treatment. Findings offer insights into the demographics and characteristics of this patient group, enhancing understanding of involuntary commitment criteria.

Area of Science:

  • Psychiatry
  • Clinical Psychology
  • Public Health

Background:

  • Involuntary commitment is a critical aspect of acute psychiatric care.
  • Understanding the characteristics of patients undergoing involuntary treatment is essential for service planning.
  • Previous studies often focused on state hospital populations, potentially limiting generalizability.

Purpose of the Study:

  • To characterize a sample of 815 acutely ill schizophrenia patients admitted for involuntary inpatient treatment.
  • To compare the demographics of this sample with the general population.
  • To analyze the gender distribution of key variables within the sample.

Main Methods:

  • Retrospective analysis of patient records for 815 individuals.
  • Inclusion criteria: acutely ill schizophrenia patients hospitalized under involuntary commitment petitions.

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  • Data collected: demographics, psychoactive substance use, comorbidity, length of stay, readmission frequency.

    • Main Results:

    • The sample of involuntarily treated schizophrenia patients exhibited specific demographic and clinical profiles.
    • Gender distribution varied across variables such as age, marital status, substance use, and comorbidity.
    • Length of stay and readmission rates also showed gender-related differences.

    Conclusions:

    • The studied sample represents a valuable cohort for understanding involuntary commitment in acute schizophrenia.
    • The findings highlight the importance of considering gender in the management and treatment of these patients.
    • Further research can explore the implications of these demographic and clinical differences for treatment outcomes.