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

Abstract Background 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...

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Main Authors: Inge H. Bruun, Thomas Maribo, Birgitte Nørgaard, Berit Schiøttz-Christensen, Christian B. Mogensen
Format: Article
Language:English
Published: BMC 2017-12-01
Series:BMC Geriatrics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12877-017-0671-5
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spelling doaj-2d33e951c85847b8bc016ac976dcf69a2020-11-25T03:17:13ZengBMCBMC Geriatrics1471-23182017-12-0117111010.1186/s12877-017-0671-5A prediction model to identify hospitalised, older adults with reduced physical performanceInge H. Bruun0Thomas Maribo1Birgitte Nørgaard2Berit Schiøttz-Christensen3Christian B. Mogensen4Department of Physiotherapy, Lillebaelt Hospital, University of Southern DenmarkDepartment of Public Health, Aarhus UniversityDepartment of Public Health, University of Southern DenmarkDepartment of Regional Health Research, University of Southern DenmarkDepartment of Regional Health Research, University of Southern DenmarkAbstract Background 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. Methods 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. Results 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. Conclusion 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. Trial registration ClinicalTrials.gov Identifier: NCT02474277 . (12.10.2014).http://link.springer.com/article/10.1186/s12877-017-0671-5Reduced physical performancePrediction modelPhysical activity
collection DOAJ
language English
format Article
sources DOAJ
author Inge H. Bruun
Thomas Maribo
Birgitte Nørgaard
Berit Schiøttz-Christensen
Christian B. Mogensen
spellingShingle Inge H. Bruun
Thomas Maribo
Birgitte Nørgaard
Berit Schiøttz-Christensen
Christian B. Mogensen
A prediction model to identify hospitalised, older adults with reduced physical performance
BMC Geriatrics
Reduced physical performance
Prediction model
Physical activity
author_facet Inge H. Bruun
Thomas Maribo
Birgitte Nørgaard
Berit Schiøttz-Christensen
Christian B. Mogensen
author_sort Inge H. Bruun
title A prediction model to identify hospitalised, older adults with reduced physical performance
title_short A prediction model to identify hospitalised, older adults with reduced physical performance
title_full A prediction model to identify hospitalised, older adults with reduced physical performance
title_fullStr A prediction model to identify hospitalised, older adults with reduced physical performance
title_full_unstemmed A prediction model to identify hospitalised, older adults with reduced physical performance
title_sort prediction model to identify hospitalised, older adults with reduced physical performance
publisher BMC
series BMC Geriatrics
issn 1471-2318
publishDate 2017-12-01
description Abstract Background 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. Methods 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. Results 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. Conclusion 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. Trial registration ClinicalTrials.gov Identifier: NCT02474277 . (12.10.2014).
topic Reduced physical performance
Prediction model
Physical activity
url http://link.springer.com/article/10.1186/s12877-017-0671-5
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