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Identifying patients suitable for palliative care - a descriptive analysis of enquiries using a Case Management Process Model approach

Overview of attention for article published in BMC Research Notes, November 2012
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Title
Identifying patients suitable for palliative care - a descriptive analysis of enquiries using a Case Management Process Model approach
Published in
BMC Research Notes, November 2012
DOI 10.1186/1756-0500-5-611
Pubmed ID
Authors

Ulrike Kuhn, Anne Düsterdiek, Maren Galushko, Christina Dose, Thomas Montag, Christoph Ostgathe, Raymond Voltz

Abstract

In Germany, case management in a palliative care unit was first implemented in 2005 at the Department of Palliative Medicine at the University Hospital Cologne. One of the purposes of this case management is to deal with enquiries from patients and their relatives as well as medical professionals. Using the Case Management Process Model of the Case Management Society of America as a reference, this study analysed (a) how this case management was used by different enquiring groups and (b) how patients were identified for case management and for palliative care services. The first thousand enquiries were analysed considering patient variables, properties of the enquiring persons and the content of the consultations.

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

Geographical breakdown

Country Count As %
United States 1 3%
France 1 3%
Germany 1 3%
Unknown 28 90%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 32%
Student > Bachelor 5 16%
Other 2 6%
Researcher 2 6%
Student > Ph. D. Student 2 6%
Other 3 10%
Unknown 7 23%
Readers by discipline Count As %
Nursing and Health Professions 13 42%
Medicine and Dentistry 7 23%
Economics, Econometrics and Finance 1 3%
Business, Management and Accounting 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 7 23%
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 17 December 2012.
All research outputs
#18,323,689
of 22,689,790 outputs
Outputs from BMC Research Notes
#3,006
of 4,254 outputs
Outputs of similar age
#140,536
of 184,148 outputs
Outputs of similar age from BMC Research Notes
#58
of 75 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,254 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 16th percentile – i.e., 16% 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 184,148 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.