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Related Experiment Videos

Inpatient seclusion: description and causes

C Swett1

  • 1Dartmouth Medical School, New Hamsphire Hospital, Concord 03301.

The Bulletin of the American Academy of Psychiatry and the Law
|January 1, 1994
PubMed
Summary

Younger age, borderline personality disorder, and specific Nurses Observation Scale for Inpatient Evaluation (NOSIE) scores predict seclusion and restraint in acute psychiatric admissions. These findings aid in identifying at-risk patients for targeted interventions.

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Area of Science:

  • Psychiatry
  • Clinical Psychology
  • Healthcare Management

Background:

  • Seclusion and restraint are restrictive measures used in inpatient psychiatric settings.
  • Identifying predictors of seclusion and restraint is crucial for improving patient safety and therapeutic environments.
  • Previous research has explored various factors, but a comprehensive predictive model for acute admissions is needed.

Purpose of the Study:

  • To identify significant predictors of seclusion and restraint episodes in acute psychiatric admissions.
  • To develop and validate a predictive model for seclusion and restraint using identified variables.

Main Methods:

  • Retrospective analysis of 370 acute admissions over one year.
  • Four significant predictors identified: young age, borderline personality disorder diagnosis, and two Nurses Observation Scale for Inpatient Evaluation (NOSIE) scores (irritability and total assets).
  • Validation of the predictive model on a new sample of 80 patients.

Main Results:

  • 114 patients (31%) experienced at least one episode of seclusion or restraint.
  • The predictive model achieved over 81% accuracy in the initial sample (Kappa = .37, p < .001) and over 79% in the validation sample (Kappa = .40, p < .001).
  • Young age, borderline personality disorder, and specific NOSIE scores were significant predictors.

Conclusions:

  • A combination of demographic, diagnostic, and psychometric factors can effectively predict seclusion and restraint in acute psychiatric admissions.
  • The findings support the use of these variables for early identification of patients at higher risk.
  • This predictive capability can inform proactive management strategies to reduce the incidence of seclusion and restraint.

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