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End of life hospitalisations differ for older Australian women according to death trajectory: a longitudinal data linkage study

Overview of attention for article published in BMC Health Services Research, September 2016
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Title
End of life hospitalisations differ for older Australian women according to death trajectory: a longitudinal data linkage study
Published in
BMC Health Services Research, September 2016
DOI 10.1186/s12913-016-1729-3
Pubmed ID
Authors

Melissa L. Harris, Xenia Dolja-Gore, Hal Kendig, Julie E. Byles

Abstract

Hospitalisations are the prime contributor to healthcare expenditure, with older adults often identified as high hospital users. Despite the apparent high use of hospitals at the end of life, limited evidence currently exists regarding reasons for hospitalisation. Understanding complex end of life care needs is required for future health care planning as the global population ages. This study aimed to investigate patterns of hospitalisation in the last year of life by cause of death (COD) as well as reasons for admission and short-term predictors of hospital use. Survey data from 1,205 decedents from the 1921-1926 cohort of the Australian Longitudinal Study on Women's Health were matched with the state-based hospital records and the National Death Index. Hospital patterns based on COD were graphically summarised and multivariate logistic regression models examined the impact of short-term predictors of length of stay (LOS). 85 % of women had at least one admission in the last year of life; and 8 % had their first observed admission during this time. Reasons for hospitalisation, timing of admissions and LOS differed by COD. Women who died of cancer, diabetes and 'other' causes were admitted earlier than women who died of organ failure, dementia and influenza. Women who died of organ failure overall spent the longest time in hospital, and women with cancer had the highest median LOS. Longer LOS was associated with previous short- and medium-term- hospitalisations and type of hospital separation. Reducing acute care admissions and LOS at the end of life is complex and requires a shift in perceptions and treatment regarding end of life care and chronic disease management.

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The data shown below were collected from the profile of 1 X user 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 77 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 17%
Student > Ph. D. Student 10 13%
Researcher 8 10%
Student > Bachelor 8 10%
Student > Doctoral Student 5 6%
Other 13 17%
Unknown 21 27%
Readers by discipline Count As %
Medicine and Dentistry 16 21%
Nursing and Health Professions 12 15%
Psychology 8 10%
Social Sciences 3 4%
Neuroscience 3 4%
Other 12 15%
Unknown 24 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 29 September 2016.
All research outputs
#17,818,042
of 22,890,496 outputs
Outputs from BMC Health Services Research
#6,301
of 7,655 outputs
Outputs of similar age
#237,915
of 330,063 outputs
Outputs of similar age from BMC Health Services Research
#190
of 229 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,655 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 330,063 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 229 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.