↓ Skip to main content

Determinants of aggregate length of hospital stay in the last year of life in Switzerland

Overview of attention for article published in BMC Health Services Research, September 2016
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
40 Mendeley
Title
Determinants of aggregate length of hospital stay in the last year of life in Switzerland
Published in
BMC Health Services Research, September 2016
DOI 10.1186/s12913-016-1725-7
Pubmed ID
Authors

Damian Hedinger, Julia Braun, Vladimir Kaplan, Matthias Bopp, for the Swiss National Cohort Study Group

Abstract

In contrast to individual preferences, most people in developed countries die in health care institutions, with a considerable impact on health care resource use and costs. However, evidence about determinants of aggregate length of hospital stay in the last year preceding death is scant. Nationwide individual patient data from Swiss hospital discharge statistics were linked with census and mortality records from the Swiss National Cohort. We explored determinants of aggregate length of hospital stay in the last year of life in N = 35,598 inpatients ≥65 years who deceased in 2007 or 2008. The average aggregate length of hospital stay in the last year of life was substantially longer in the German speaking region compared to the French (IRR 1.36 [95 % CI 1.32-1.40]) and Italian (IRR 1.22 [95 % CI 1.16-1.29]) speaking region of the country. Increasing age, female sex, multimorbidity, being divorced, foreign nationality, and high educational level prolonged, whereas home ownership shortened the aggregate length of hospital stay. Individuals with complementary private health insurance plans had longer stays than those with compulsory health insurance plans (IRR 1.04 [95 % CI 1.01-1.07]). The aggregate length of hospital stay during the last year of life was substantially determined by regional and socio-demographic characteristics, and only partially explained by differential health conditions. Therefore, more detailed studies need to evaluate, whether these differences are based on patients' health care needs and preferences, or whether they are supply-driven.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 23%
Student > Master 8 20%
Professor > Associate Professor 3 8%
Student > Doctoral Student 3 8%
Student > Ph. D. Student 3 8%
Other 4 10%
Unknown 10 25%
Readers by discipline Count As %
Medicine and Dentistry 12 30%
Nursing and Health Professions 5 13%
Social Sciences 4 10%
Economics, Econometrics and Finance 3 8%
Psychology 1 3%
Other 2 5%
Unknown 13 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 August 2017.
All research outputs
#7,429,526
of 22,886,568 outputs
Outputs from BMC Health Services Research
#3,681
of 7,653 outputs
Outputs of similar age
#116,898
of 337,400 outputs
Outputs of similar age from BMC Health Services Research
#122
of 233 outputs
Altmetric has tracked 22,886,568 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,653 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 51% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 337,400 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 233 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.