title: [Institutionalised dying in Germany. Trends in place of death distribution: home, hospitals and nursing homes].
abstract: BACKGROUND
  The aim of this study is to identify the degree of institutionalised dying and to assess the differentiation between place of death, be it at a hospital, in a nursing home or at home (with/or without home care), as well as to illustrate trends in the place of death distribution.
  
  
  METHODS
  Process-produced routine data of the deaths of patients insured with the statutory health insurance "Gmünder Ersatzkasse" (GEK, n = 59,922) are used to calculate distributions of the deceased population (≥ 30 years old) from 2000-2009.
  
  
  RESULTS
  In 2009, about 248,000 (29 %) and 598,000 (71 %) people in Germany died at home and in an institution, respectively. During the last 10 years the degree of institutionalised dying has increased by 6 percentage points. Women die more frequently in institutions than men (74 % compared to 67 %). For older age groups, dying in nursing homes becomes more prominent than dying in hospitals.
  
  
  CONCLUSIONS
  The discrepancy between the preferred (at home) and empirically ascertained (institutions) place of death could increase even further as a result of the demographic as well as disease-specific developments in Germany.
authors.affiliation: Zentrum für Sozialpolitik (ZeS), Universität Bremen, Mary-Somerville-Str. 3, 28359, Bremen, Deutschland, sebastian.sauer@uni-bremen.de.
authors.forename: S
authors.initials: S
authors.lastname: Sauer
authors.forename: R
authors.initials: R
authors.lastname: Müller
authors.forename: H
authors.initials: H
authors.lastname: Rothgang
mesh_terms: D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D005858:Germany / Q000453:epidemiology; D017052:Hospital Mortality; D006761:Hospitals / Q000706:statistics & numerical data*; D006798:Housing / Q000706:statistics & numerical data*; D006801:Humans; D008297:Male; D008875:Middle Aged; D009026:Mortality; D009735:Nursing Homes / Q000706:statistics & numerical data*; D057240:Patient Preference / Q000706:statistics & numerical data*; D015995:Prevalence; D018570:Risk Assessment; D017678:Sex Distribution; D062211:Spatio-Temporal Analysis