title: [Predictive variables for duration of survival of patients following admission in a psychogeriatric nursing home studies with general registration data].
abstract: OBJECTIVE
  To assess the possible correlation between characteristics of psychogeriatric patients at first admission to a nursing home and survival.
  
  
  METHODS
  Retrospective study.
  
  
  METHODS
  Department of social and psychiatric epidemiology, Free University, Amsterdam.
  
  
  METHODS
  Data from the Dutch nursing home registration (SIVIS) were used. All first admissions to a nursing home in the period 1989-1991 were analysed. The Kaplan-Meier method was used to determine survival. The Cox proportional hazards model was used to analyse factors associated with survival.
  
  
  RESULTS
  The rate of survival for women was higher than that for men among these patients (p < 0.001). Predictors of survival in a nursing home were functional status, gender, age and the presence of malignancies and (or) respiratory diseases, at admission.
  
  
  CONCLUSIONS
  Predictors of survival after admission in a nursing home are similar to the findings of other studies, although the methods used were different. The main implication of this study is that routinely collected data of health care registrations can be used to assess health care questions.
authors.affiliation: GG & GD, afd. Sociale en Psychiatrische Epidemiologie, Amsterdam.
authors.forename: V C
authors.initials: VC
authors.lastname: van Alem
authors.forename: J
authors.initials: J
authors.lastname: Spijker
authors.forename: J
authors.initials: J
authors.lastname: van Limbeek
authors.forename: W
authors.initials: W
authors.lastname: van Tilburg
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D003072:Cognition Disorders / Q000401:mortality; D003704:Dementia / Q000401:mortality*; D003710:Demography; D005260:Female; D006801:Humans; D008297:Male; D009426:Netherlands; D019965:Neurocognitive Disorders / Q000401:mortality; D009735:Nursing Homes; D010343:Patient Admission; D011336:Probability; D016016:Proportional Hazards Models; D012189:Retrospective Studies; D016019:Survival Analysis