↓ Skip to main content

End-of-life care bonus promoting end-of-life care in nursing homes: An 11-year retrospective longitudinal prefecture-wide study in Japan

Overview of attention for article published in BioScience Trends, January 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
49 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
End-of-life care bonus promoting end-of-life care in nursing homes: An 11-year retrospective longitudinal prefecture-wide study in Japan
Published in
BioScience Trends, January 2017
DOI 10.5582/bst.2016.01183
Pubmed ID
Authors

Sho Nishiguchi, Nagisa Sugaya, Kentaro Sakamaki, Shunsaku Mizushima

Abstract

The end-of-life (EOL) care bonus introduced by the Japanese government works as a financial incentive and framework of quality preservation, including advance care planning, for EOL care among nursing home residents. This study aims to clarify the effects of the EOL care bonus in promoting EOL care in nursing homes. A longitudinal observational study using a questionnaire was conducted. We invited 378 nursing homes in Kanagawa prefecture in Japan, a region with a rapidly aging population, to participate in the study. The outcome was the number of residents dying in nursing homes from 2004 to 2014. In a linear mixed model, fixed-effect factors included year established, unit care, regional elderly population rate and hospital beds, adjacent affiliated hospital, full-time physician on site, physician's support during off-time, basic EOL care policy, usage of the EOL care bonus, EOL care conference, and staff experience of EOL care. A total of 237 nursing home facilities responded (62.7%). The linear mixed model showed that the availability of the EOL care bonus (coefficient 3.1, 95 % CI 0.67-5.51, p = 0.012) and years of usage of the EOL care bonus (p < 0.001) were significantly associated with increased numbers of residents dying in nursing homes. Our analysis revealed that the EOL care bonus has the potential to increase the number of residents receiving EOL care in nursing homes over several years. EOL care conferences, physician support for emergency care during off-time, and the presence of an adjacent affiliated hospital may also increase the number of residents receiving EOL care in nursing homes. These results suggest that a government financial incentive may contribute to effective EOL care among nursing home residents in other developed countries with rapidly aging populations.

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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 16%
Student > Bachelor 7 14%
Other 4 8%
Researcher 4 8%
Student > Postgraduate 4 8%
Other 11 22%
Unknown 11 22%
Readers by discipline Count As %
Nursing and Health Professions 17 35%
Medicine and Dentistry 11 22%
Social Sciences 2 4%
Mathematics 1 2%
Environmental Science 1 2%
Other 5 10%
Unknown 12 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 September 2020.
All research outputs
#14,280,554
of 25,382,440 outputs
Outputs from BioScience Trends
#89
of 333 outputs
Outputs of similar age
#208,426
of 424,069 outputs
Outputs of similar age from BioScience Trends
#5
of 11 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 333 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.9. This one has gotten more attention than average, scoring higher than 73% 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 424,069 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 50% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.