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Use of hospital palliative care according to the place of death and disease one year before death in 2013: a French national observational study

Overview of attention for article published in BMC Palliative Care, May 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)

Mentioned by

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1 blog
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3 X users

Citations

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19 Dimensions

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131 Mendeley
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Title
Use of hospital palliative care according to the place of death and disease one year before death in 2013: a French national observational study
Published in
BMC Palliative Care, May 2018
DOI 10.1186/s12904-018-0327-z
Pubmed ID
Authors

Claire Poulalhon, Laureen Rotelli-Bihet, Sébastien Moine, Anne Fagot-Campagna, Régis Aubry, Philippe Tuppin

Abstract

Only limited data are available concerning the diseases managed before death and hospital palliative care (HPC) use according to place of death in France. We therefore conducted an observational study based on administrative health data in a large population to identify the diseases treated one year before death in 2013, the place of stay with or without hospital palliative care, and the place of death. French health insurance general scheme beneficiaries were identified in the National Health data Information System (Snds) with a selection of information. Diseases were identified by algorithms from reimbursement data recorded in the Snds database. 347,253 people were included in this study (61% of all people who died in France). Place of death was short stay hospital for 51%, Rehab (7%), hospital at home (3%), skilled nursing home (13%) and other (26%). Chronic diseases managed in 2013 before death were cardiovascular/neurovascular diseases (56%), cancers (42%), and neurological and degenerative diseases (25%). During the year before death, 84% of people were hospitalized at least once, and 29% had received HPC. HPC was used by 52% of cancer patients (lung cancer: 62%; prostate cancer: 41%). In the absence of cancer, the use of HPC varied according to the disease: acute stroke: 24%, heart failure: 17%, dementia: 17%, multiple sclerosis: 23%. Health administrative data can refine the knowledge of the care pathway prior to death and the HPC utilisation and can be useful to evaluate heath policies and improve monitoring and assessment of HPC use.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 131 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 17%
Student > Bachelor 17 13%
Researcher 14 11%
Student > Ph. D. Student 14 11%
Lecturer 5 4%
Other 18 14%
Unknown 41 31%
Readers by discipline Count As %
Medicine and Dentistry 37 28%
Nursing and Health Professions 32 24%
Psychology 4 3%
Engineering 3 2%
Social Sciences 3 2%
Other 8 6%
Unknown 44 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 02 October 2018.
All research outputs
#3,719,139
of 23,055,429 outputs
Outputs from BMC Palliative Care
#467
of 1,258 outputs
Outputs of similar age
#73,330
of 327,731 outputs
Outputs of similar age from BMC Palliative Care
#26
of 35 outputs
Altmetric has tracked 23,055,429 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,258 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has gotten more attention than average, scoring higher than 61% 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 327,731 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.