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A prediction model to identify hospitalised, older adults with reduced physical performance

Overview of attention for article published in BMC Geriatrics, December 2017
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Title
A prediction model to identify hospitalised, older adults with reduced physical performance
Published in
BMC Geriatrics, December 2017
DOI 10.1186/s12877-017-0671-5
Pubmed ID
Authors

Inge H. Bruun, Thomas Maribo, Birgitte Nørgaard, Berit Schiøttz-Christensen, Christian B. Mogensen

Abstract

Identifying older adults with reduced physical performance at the time of hospital admission can significantly affect patient management and trajectory. For example, such patients could receive targeted hospital interventions such as routine mobilisation. Furthermore, at the time of discharge, health systems could offer these patients additional therapy to maintain or improve health and prevent institutionalisation or readmission. The principle aim of this study was to identify predictors for persisting, reduced physical performance in older adults following acute hospitalisation. This was a prospective cohort study that enrolled 117 medical patients, ages 65 or older, who were admitted to a short-stay unit in a Danish emergency department. Patients were included in the study if at the time of admission they performed ≤8 repetitions in the 30-s Chair-Stand Test (30s-CST). The primary outcome measure was the number of 30s-CST repetitions (≤ 8 or >8) performed at the time of follow-up, 34 days after admission. Potential predictors within the first 48 h of admission included: age, gender, ability to climb stairs and walk 400 m, difficulties with activities of daily living before admission, falls, physical activity level, self-rated health, use of a walking aid before admission, number of prescribed medications, 30s-CST, and the De Morton Mobility Index. A total of 78 (67%) patients improved in physical performance in the interval between admission and follow-up assessment, but 76 patients (65%) had persistent reduced physical performance when compared to their baseline (30s-CST ≤ 8). The number of potential predictors was reduced in order to create a simplified prediction model based on 4 variables, namely the use of a walking aid before hospitalisation (score = 1.5), a 30s-CST ≤ 5 (1.8), age > 85 (0.1), and female gender (0.6). A score > 1.8 identified 78% of the older adults who continued to have reduced physical performance following acute hospitalisation. At the time of admission, the variables of age, gender, walking aid use, and a 30s-CST score ≤ 5 enabled clinicians to identify 78% of older adults who had persisting reduced physical performance following acute hospitalisation. ClinicalTrials.gov Identifier: NCT02474277 . (12.10.2014).

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Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 16%
Student > Ph. D. Student 9 11%
Student > Bachelor 8 10%
Researcher 4 5%
Student > Postgraduate 4 5%
Other 14 18%
Unknown 27 34%
Readers by discipline Count As %
Nursing and Health Professions 20 25%
Medicine and Dentistry 11 14%
Sports and Recreations 4 5%
Social Sciences 3 4%
Psychology 2 3%
Other 8 10%
Unknown 31 39%
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 26 April 2019.
All research outputs
#18,579,736
of 23,012,811 outputs
Outputs from BMC Geriatrics
#2,667
of 3,235 outputs
Outputs of similar age
#327,576
of 440,054 outputs
Outputs of similar age from BMC Geriatrics
#46
of 57 outputs
Altmetric has tracked 23,012,811 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 3,235 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one is in the 10th percentile – i.e., 10% 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 440,054 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.