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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MDPI AG
2023-10-01
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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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language | English |
last_indexed | 2024-03-10T21:14:02Z |
publishDate | 2023-10-01 |
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series | Healthcare |
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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