Prediction of early falls using adherence and balance assessments in a convalescent rehabilitation ward

Objectives: To predict falls by adding an adherence assessment to a static balance ability assessment, and to evaluate fall prediction accuracy. Methods: This study included 416 patients who were admitted to a 45-bed convalescent rehabilitation ward over a 2-year period. The patients were assesse...

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Published in:Fujita Medical Journal
Main Authors: Toshio Teranishi, Megumi Suzuki, Masayuki Yamada, Akiko Maeda, Motomi Yokota, Naoki Itoh, Masanori Tanimoto, Aiko Osawa, Izumi Kondo
Format: Article
Language:English
Published: Fujita Medical Society 2024-02-01
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Online Access:https://www.jstage.jst.go.jp/article/fmj/10/1/10_2022-037/_pdf/-char/en
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author Toshio Teranishi
Megumi Suzuki
Masayuki Yamada
Akiko Maeda
Motomi Yokota
Naoki Itoh
Masanori Tanimoto
Aiko Osawa
Izumi Kondo
author_facet Toshio Teranishi
Megumi Suzuki
Masayuki Yamada
Akiko Maeda
Motomi Yokota
Naoki Itoh
Masanori Tanimoto
Aiko Osawa
Izumi Kondo
author_sort Toshio Teranishi
collection DOAJ
container_title Fujita Medical Journal
description Objectives: To predict falls by adding an adherence assessment to a static balance ability assessment, and to evaluate fall prediction accuracy. Methods: This study included 416 patients who were admitted to a 45-bed convalescent rehabilitation ward over a 2-year period. The patients were assessed at the time of admission using the Standing Test for Imbalance and Disequilibrium (SIDE) and three additional, newly developed adherence items. Patients were divided into two groups: a group that experienced falls (fall group) and a group that did not experience falls (non-fall group) within 14 days of admission. The sensitivity and specificity of the assessment items for predicting falls were calculated. Results: Sensitivity was 0.86 and specificity was 0.42 when the cutoff was between SIDE levels 0–2a and 2b–4. Combining balance assessment using the SIDE with the memory and instruction adherence items improved fall prediction accuracy such that the sensitivity was 0.75 and the specificity was 0.64. Conclusions: Our analysis suggested that adherence assessment can improve fall risk prediction accuracy.
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spelling doaj-art-63a73bc4b8cb452294dbeb0683c19f5b2025-08-19T22:24:24ZengFujita Medical SocietyFujita Medical Journal2189-72472189-72552024-02-01101303410.20407/fmj.2022-037Prediction of early falls using adherence and balance assessments in a convalescent rehabilitation wardToshio Teranishi0Megumi Suzuki1Masayuki Yamada2Akiko Maeda3Motomi Yokota4Naoki Itoh5Masanori Tanimoto6Aiko Osawa7Izumi Kondo8Faculty of Rehabilitation, Fujita Health University, School of Health SciencesFaculty of Rehabilitation, Fujita Health University, School of Health SciencesFaculty of Rehabilitation, Fujita Health University, School of Health SciencesFaculty of Rehabilitation, Fujita Health University, School of Health SciencesFaculty of Rehabilitation, Fujita Health University, School of Health SciencesNational Center for Geriatrics and Gerontology, Department of Rehabilitation MedicineNational Center for Geriatrics and Gerontology, Department of Rehabilitation MedicineNational Center for Geriatrics and Gerontology, Department of Rehabilitation MedicineNational Center for Geriatrics and Gerontology, Department of Rehabilitation MedicineObjectives: To predict falls by adding an adherence assessment to a static balance ability assessment, and to evaluate fall prediction accuracy. Methods: This study included 416 patients who were admitted to a 45-bed convalescent rehabilitation ward over a 2-year period. The patients were assessed at the time of admission using the Standing Test for Imbalance and Disequilibrium (SIDE) and three additional, newly developed adherence items. Patients were divided into two groups: a group that experienced falls (fall group) and a group that did not experience falls (non-fall group) within 14 days of admission. The sensitivity and specificity of the assessment items for predicting falls were calculated. Results: Sensitivity was 0.86 and specificity was 0.42 when the cutoff was between SIDE levels 0–2a and 2b–4. Combining balance assessment using the SIDE with the memory and instruction adherence items improved fall prediction accuracy such that the sensitivity was 0.75 and the specificity was 0.64. Conclusions: Our analysis suggested that adherence assessment can improve fall risk prediction accuracy.https://www.jstage.jst.go.jp/article/fmj/10/1/10_2022-037/_pdf/-char/enconvalescent rehabilitation wardfall predictionadherence assessment
spellingShingle Toshio Teranishi
Megumi Suzuki
Masayuki Yamada
Akiko Maeda
Motomi Yokota
Naoki Itoh
Masanori Tanimoto
Aiko Osawa
Izumi Kondo
Prediction of early falls using adherence and balance assessments in a convalescent rehabilitation ward
convalescent rehabilitation ward
fall prediction
adherence assessment
title Prediction of early falls using adherence and balance assessments in a convalescent rehabilitation ward
title_full Prediction of early falls using adherence and balance assessments in a convalescent rehabilitation ward
title_fullStr Prediction of early falls using adherence and balance assessments in a convalescent rehabilitation ward
title_full_unstemmed Prediction of early falls using adherence and balance assessments in a convalescent rehabilitation ward
title_short Prediction of early falls using adherence and balance assessments in a convalescent rehabilitation ward
title_sort prediction of early falls using adherence and balance assessments in a convalescent rehabilitation ward
topic convalescent rehabilitation ward
fall prediction
adherence assessment
url https://www.jstage.jst.go.jp/article/fmj/10/1/10_2022-037/_pdf/-char/en
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