Title |
Predictors of mortality among elderly dependent home care patients
|
---|---|
Published in |
BMC Health Services Research, August 2013
|
DOI | 10.1186/1472-6963-13-316 |
Pubmed ID | |
Authors |
Joan Gené Badia, Alícia Borràs Santos, Joan Carles Contel Segura, Carlos Ascaso Terén, Laura Corredoira González, Ester Limón Ramírez, Pedro Gallo de Puelles, the HC>65 Research Team |
Abstract |
The purpose of this study is to identify which variables--among those commonly available and used in the primary care setting--best predict mortality in a cohort of elderly dependent patients living at home (EDPLH) that were included in a home care program provided by Primary Care Teams (PCT). Additionally, we explored the risk of death among a sub-group of these patients that were admitted to hospital the year before they entered the home care program. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 3 | 60% |
United Kingdom | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 40% |
Members of the public | 2 | 40% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 3 | 3% |
Unknown | 99 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 18 | 18% |
Other | 9 | 9% |
Student > Postgraduate | 9 | 9% |
Student > Doctoral Student | 9 | 9% |
Student > Bachelor | 8 | 8% |
Other | 24 | 24% |
Unknown | 25 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 34 | 33% |
Nursing and Health Professions | 18 | 18% |
Social Sciences | 3 | 3% |
Psychology | 3 | 3% |
Engineering | 3 | 3% |
Other | 11 | 11% |
Unknown | 30 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 20 June 2014.
All research outputs
#2,093,431
of 22,716,996 outputs
Outputs from BMC Health Services Research
#825
of 7,599 outputs
Outputs of similar age
#18,944
of 196,013 outputs
Outputs of similar age from BMC Health Services Research
#9
of 101 outputs
Altmetric has tracked 22,716,996 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,599 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done well, scoring higher than 89% 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 196,013 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.