[Heavy users in a psychiatric hospital--a cohort study on 1811 patients over five years]

Psychiatr Prax. 2002 Oct;29(7):350-4. doi: 10.1055/s-2002-34659.
[Article in German]

Abstract

Objective: The aim of the study was to examine the extent of use of acute psychiatric inpatient care, and to determine sociodemographic and disease-related characteristics of so called "heavy users".

Methods: A cohort of 1811 patients with first hospitalisation in 1995 was followed by means of the German psychiatric basic documentation (DGPPN-BADO) over a five-year period from 1995 to 1999.

Results: The average cumulative length of stay was 63.2 days (SD 98.4), the median 32 days. 5 % of patients stayed in hospital more than 238 days and 1 % even more than 538.1 days within five years. 50 % of patients "consumed" only 10 % of inpatient days, whereas other 10 % of patients accounted for nearly 50 % of the resources. By means of a regression analysis ten significant predictors for a long cumulative hospital stay could be found, e. g. schizophrenia, personality disorder, socio-therapeutic modalities, sheltered living, and low psychosocial capability (GAF) at discharge. Within five years an average number of hospital stays of 1.8 (SD 2.1) was found. 5 % of patients had more than four inpatient stays, 1 % even more than ten. Regressions analysis revealed seven significant predictors for a high number of hospital stays, e. g. alcohol dependence, comorbid alcohol abuse, and a short interval between first and second admission.

Conclusions: As no distinct group of "heavy user" could be identified, individual treatment strategies should be addressed, and qualitative studies and in-depth statistic analyses must be performed.

MeSH terms

  • Adult
  • Alcoholism / epidemiology
  • Alcoholism / rehabilitation
  • Cohort Studies
  • Female
  • Germany
  • Hospitals, Psychiatric / statistics & numerical data*
  • Humans
  • Length of Stay / statistics & numerical data*
  • Male
  • Mental Disorders / epidemiology*
  • Mental Disorders / rehabilitation
  • National Health Programs / statistics & numerical data*
  • Patient Readmission / statistics & numerical data*
  • Personality Disorders / epidemiology
  • Personality Disorders / rehabilitation
  • Regression Analysis
  • Risk Factors
  • Schizophrenia / epidemiology
  • Schizophrenia / rehabilitation
  • Utilization Review / statistics & numerical data