Predicting injury : challenges in prospective injury risk factor identification
Deutscher übersetzter Titel: | Vorhersage von Verletzungen : Herausforderungen bei der Vorhersage von Verletzungsrisikofaktoren |
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Autor: | Clifton, Daniel R.; Grooms, Dustin R.; Hertel, Jay; Onate, James A. |
Erschienen in: | Journal of athletic training |
Veröffentlicht: | 51 (2016), 8, S. 658-661, Lit. |
Format: | Literatur (SPOLIT) |
Publikationstyp: | Zeitschriftenartikel |
Medienart: | Elektronische Ressource (online) Gedruckte Ressource |
Sprache: | Englisch |
ISSN: | 1062-6050, 0160-8320, 1938-162X |
DOI: | 10.4085/1062-6050-51.11.03 |
Schlagworte: | |
Online Zugang: | |
Erfassungsnummer: | PU201611007736 |
Quelle: | BISp |
Abstract des Autors
Context: Musculoskeletal injury-prediction methods vary and may have limitations that affect the accuracy of results and clinical meaningfulness.
Background: Research examining injury risk factors is meaningful, but attempting to extrapolate injury risk from studies that do not prospectively assess injury occurrence may limit clinical applications. Injury incidence is a vital outcome measure, which allows for the appropriate interpretation of injury-prediction analyses; a lack of injury-incidence data may decrease the accuracy and increase the uncertainty of injury-risk estimates. Extrapolating results that predict an injury risk factor to predicting actual injuries may lead to inappropriate clinical decision-making models.
Conclusions: Improved understanding of the limitations of injury-prediction methods, specifically those that do not prospectively assess injuries, will allow clinicians to better assess the clinical meaningfulness of the results.