Literature DB >> 24271143

[Institutionalised dying in Germany. Trends in place of death distribution: home, hospitals and nursing homes].

S Sauer1, R Müller, H Rothgang.   

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. DATA AND 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.
CONCLUSION: 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.

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Mesh:

Year:  2015        PMID: 24271143     DOI: 10.1007/s00391-013-0547-z

Source DB:  PubMed          Journal:  Z Gerontol Geriatr        ISSN: 0948-6704            Impact factor:   1.281


  2 in total

Review 1.  [Where do people die?: On the question of dying in institutions].

Authors:  M Thönnes; N R Jakoby
Journal:  Z Gerontol Geriatr       Date:  2011-10       Impact factor: 1.281

2.  Preferences for place of death if faced with advanced cancer: a population survey in England, Flanders, Germany, Italy, the Netherlands, Portugal and Spain.

Authors:  B Gomes; I J Higginson; N Calanzani; J Cohen; L Deliens; B A Daveson; D Bechinger-English; C Bausewein; P L Ferreira; F Toscani; A Meñaca; M Gysels; L Ceulemans; S T Simon; H R W Pasman; G Albers; S Hall; F E M Murtagh; D F Haugen; J Downing; J Koffman; F Pettenati; S Finetti; B Antunes; R Harding
Journal:  Ann Oncol       Date:  2012-02-16       Impact factor: 32.976

  2 in total
  6 in total

1.  Mortality and hospitalization at the end of life in newly admitted nursing home residents with and without dementia.

Authors:  Katharina Allers; Falk Hoffmann
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2018-05-02       Impact factor: 4.328

2.  Characteristics and place of death in home care recipients in Germany - an analysis of nationwide health insurance claims data.

Authors:  Rieke Schnakenberg; Alexander Maximilian Fassmer; Katharina Allers; Falk Hoffmann
Journal:  BMC Palliat Care       Date:  2022-10-06       Impact factor: 3.113

3.  Predicting unplanned hospital readmission in palliative outpatients (PRePP) - study protocol of a longitudinal, prospective study to identify informal caregiver-related and structural predictors.

Authors:  Leopold Hentschel; André Wellesen; Luisa Christin Krause; Maria von Havranek; Michael Kramer; Beate Hornemann; Martin Bornhäuser; Ulrich Schuler; Katharina Schütte
Journal:  BMC Palliat Care       Date:  2022-05-02       Impact factor: 3.113

Review 4.  Place of Death: Trends Over the Course of a Decade: A Population-Based Study of Death Certificates From the Years 2001 and 2011.

Authors:  Burkhard Dasch; Klaus Blum; Philipp Gude; Claudia Bausewein
Journal:  Dtsch Arztebl Int       Date:  2015-07-20       Impact factor: 5.594

5.  Health Care Service Utilization of Dementia Patients before and after Institutionalization: A Claims Data Analysis.

Authors:  Larissa Schwarzkopf; Yi Hao; Rolf Holle; Elmar Graessel
Journal:  Dement Geriatr Cogn Dis Extra       Date:  2014-06-28

6.  [Hospitalization of nursing home residents in the last phase of life: an analysis of health insurance data].

Authors:  Falk Hoffmann; Katharina Allers
Journal:  Z Gerontol Geriatr       Date:  2020-03-17       Impact factor: 1.281

  6 in total

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