Predicting Falls in Musculoskeletal Rehabilitation: A Retrospective Multisite Study

Background. Fall represents one of the highest concerns in the healthcare system, especially in medical rehabilitation settings. However, there is a lack of instruments for the assessment of risk falls in the context of musculoskeletal rehabilitation. Methods. This retrospective multisite study aime...

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Main Authors: Luca Scarabel, Federica Scarpina, Graziano Ruggieri, Nicola Schiavone, Costanzo Limoni
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Healthcare
Subjects:
Online Access:https://www.mdpi.com/2227-9032/11/20/2805
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author Luca Scarabel
Federica Scarpina
Graziano Ruggieri
Nicola Schiavone
Costanzo Limoni
author_facet Luca Scarabel
Federica Scarpina
Graziano Ruggieri
Nicola Schiavone
Costanzo Limoni
author_sort Luca Scarabel
collection DOAJ
description Background. Fall represents one of the highest concerns in the healthcare system, especially in medical rehabilitation settings. However, there is a lack of instruments for the assessment of risk falls in the context of musculoskeletal rehabilitation. Methods. This retrospective multisite study aimed to assess the sensitivity and specificity of four fall risk assessment tools (the Functional Independence Measure, the Fall Risk Assessment, the Schmid Fall Risk Assessment Tool, and the ePA-AC) in predicting falls in patients admitted to musculoskeletal rehabilitation in Swiss inpatient facilities. Results. The data relative to 6970 individuals (61.5% females) were analyzed and 685 (9.83% of patients) fall events were registered. The area under the curve (AUC) relative to the Functional Independence Measure was 0.689, 0.66 for the Fall Risk Assessment, 0.641 for the Schmid Fall Risk Assessment Tool, and 0.675 for the ePA-AC. Among the four tools, the Functional Independence Measure had an acceptable discriminatory power in distinguishing between significant events (i.e., patients’ falls) and non-events (no falls). Conclusion. None of the assessed tools showed highly satisfying levels of statistical sensitivity or sensibility. However, the Functional Independence Measure could be used to assess the fall risk assessment in musculoskeletal rehabilitation settings, although with some caution, since this questionnaire was not designed for this diagnostic purpose. We strongly suggest urgently designing a tool for risk assessment that is specific to this population and the rehabilitative setting.
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spelling doaj.art-bb5a736dc532454ebef7ad05addb2bfb2023-11-19T16:38:24ZengMDPI AGHealthcare2227-90322023-10-011120280510.3390/healthcare11202805Predicting Falls in Musculoskeletal Rehabilitation: A Retrospective Multisite StudyLuca Scarabel0Federica Scarpina1Graziano Ruggieri2Nicola Schiavone3Costanzo Limoni4Clinica Hildebrand, Centro di Riabilitazione, via Crodolo 18, 6614 Brissago, Switzerland“Rita Levi Montalcini” Department of Neurosciences, University of Turin, 10126 Turin, ItalyClinica Hildebrand, Centro di Riabilitazione, via Crodolo 18, 6614 Brissago, SwitzerlandCliniche di Riabilitazione Ente Ospedaliero Cantonale (CREOC), 6986 Novaggio, SwitzerlandDepartment of Economics, Health and Social Sciences, University of Applied Sciences and Arts of Southern Switzerland, 6928 Manno, SwitzerlandBackground. Fall represents one of the highest concerns in the healthcare system, especially in medical rehabilitation settings. However, there is a lack of instruments for the assessment of risk falls in the context of musculoskeletal rehabilitation. Methods. This retrospective multisite study aimed to assess the sensitivity and specificity of four fall risk assessment tools (the Functional Independence Measure, the Fall Risk Assessment, the Schmid Fall Risk Assessment Tool, and the ePA-AC) in predicting falls in patients admitted to musculoskeletal rehabilitation in Swiss inpatient facilities. Results. The data relative to 6970 individuals (61.5% females) were analyzed and 685 (9.83% of patients) fall events were registered. The area under the curve (AUC) relative to the Functional Independence Measure was 0.689, 0.66 for the Fall Risk Assessment, 0.641 for the Schmid Fall Risk Assessment Tool, and 0.675 for the ePA-AC. Among the four tools, the Functional Independence Measure had an acceptable discriminatory power in distinguishing between significant events (i.e., patients’ falls) and non-events (no falls). Conclusion. None of the assessed tools showed highly satisfying levels of statistical sensitivity or sensibility. However, the Functional Independence Measure could be used to assess the fall risk assessment in musculoskeletal rehabilitation settings, although with some caution, since this questionnaire was not designed for this diagnostic purpose. We strongly suggest urgently designing a tool for risk assessment that is specific to this population and the rehabilitative setting.https://www.mdpi.com/2227-9032/11/20/2805fall riskmusculoskeletal rehabilitationFunctional Independence Measure
spellingShingle Luca Scarabel
Federica Scarpina
Graziano Ruggieri
Nicola Schiavone
Costanzo Limoni
Predicting Falls in Musculoskeletal Rehabilitation: A Retrospective Multisite Study
Healthcare
fall risk
musculoskeletal rehabilitation
Functional Independence Measure
title Predicting Falls in Musculoskeletal Rehabilitation: A Retrospective Multisite Study
title_full Predicting Falls in Musculoskeletal Rehabilitation: A Retrospective Multisite Study
title_fullStr Predicting Falls in Musculoskeletal Rehabilitation: A Retrospective Multisite Study
title_full_unstemmed Predicting Falls in Musculoskeletal Rehabilitation: A Retrospective Multisite Study
title_short Predicting Falls in Musculoskeletal Rehabilitation: A Retrospective Multisite Study
title_sort predicting falls in musculoskeletal rehabilitation a retrospective multisite study
topic fall risk
musculoskeletal rehabilitation
Functional Independence Measure
url https://www.mdpi.com/2227-9032/11/20/2805
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