Evidence map›Paper›PMID 25409344›Full record

ArticlePloS one2014

Moving to and dying in a nursing home depends not only on health - an analysis of socio-demographic determinants of place of death in Switzerland.

Damian Hedinger, Julia Braun, Ueli Zellweger, Vladimir Kaplan, Matthias Bopp, Swiss National Cohort Study Group

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Damian HedingerEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Julia BraunEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Ueli ZellwegerEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Vladimir KaplanDistrict Hospital Freiamt Muri, Muri, Switzerland.
Matthias BoppEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Swiss National Cohort Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn developed countries generally about 7 out of 10 deaths occur in institutions such as acute care hospitals or nursing homes. However, less is known about the influence of non-medical determinants of place of death. This study examines the influence of socio-demographic and regional factors on place of death in Switzerland. DATA AND

methodsWe linked individual data from hospitals and nursing homes with census and mortality records of the Swiss general population. We differentiated between those who died in a hospital after a length of stay ≤2 days or ≥3 days, those who died in nursing homes, and those who died at home. In gender-specific multinomial logistic regression models we analysed N = 85,129 individuals, born before 1942 (i.e., ≥65 years old) and deceased in 2007 or 2008.

resultsAlmost 70% of all men and 80% of all women died in a hospital or nursing home. Regional density of nursing home beds, being single, divorced or widowed, or living in a single-person household were predictive of death in an institution, especially among women. Conversely, homeownership, high educational level and having children were associated with dying at home.

conclusionPlace of death substantially depends on socio-demographic determinants such as household characteristics and living conditions as well as on regional factors. Individuals with a lower socio-economic position, living alone or having no children are more prone to die in a nursing home. Health policy should empower these vulnerable groups to choose their place of death in accordance to needs and wishes.

Indexed as

DeathHospital MortalityNursing HomesAgedFemaleHealth StatusHomes for the AgedHumansMaleRisk FactorsSocioeconomic FactorsSwitzerland

Identifiers

PMID25409344
PMCPMC4237376

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.