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Predictors of Long-Term Care Utilization by Dutch Hospital Patients aged 65+

Overview of attention for article published in BMC Health Services Research, May 2010
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Title
Predictors of Long-Term Care Utilization by Dutch Hospital Patients aged 65+
Published in
BMC Health Services Research, May 2010
DOI 10.1186/1472-6963-10-110
Pubmed ID
Authors

Albert Wong, Rianne Elderkamp-de Groot, Johan Polder, Job van Exel

Abstract

Long-term care is often associated with high health care expenditures. In the Netherlands, an ageing population will likely increase the demand for long-term care within the near future. The development of risk profiles will not only be useful for projecting future demand, but also for providing clues that may prevent or delay long-term care utilization. Here, we report our identification of predictors of long-term care utilization in a cohort of hospital patients aged 65+ following their discharge from hospital discharge and who, prior to hospital admission, were living at home.

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X Demographics

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

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 1%
United Kingdom 1 1%
Spain 1 1%
United States 1 1%
Unknown 87 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 19%
Student > Ph. D. Student 14 15%
Researcher 11 12%
Student > Bachelor 7 8%
Other 5 5%
Other 16 18%
Unknown 21 23%
Readers by discipline Count As %
Medicine and Dentistry 26 29%
Nursing and Health Professions 11 12%
Social Sciences 8 9%
Economics, Econometrics and Finance 7 8%
Psychology 4 4%
Other 10 11%
Unknown 25 27%
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 22 September 2012.
All research outputs
#15,251,976
of 22,679,690 outputs
Outputs from BMC Health Services Research
#5,521
of 7,579 outputs
Outputs of similar age
#77,326
of 95,003 outputs
Outputs of similar age from BMC Health Services Research
#32
of 38 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,579 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 17th percentile – i.e., 17% 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 95,003 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.