Is The Information About A Test Important? Applying The Methods Of Evidence-Based Medicine To The Clinical Examination Of Swallowing

ASU Author/Contributor (non-ASU co-authors, if there are any, appear on document)
Gary McCullough Ph.D , Associate Dean (Creator)
Institution
Appalachian State University (ASU )
Web Site: https://library.appstate.edu/

Abstract: A hotly debated topic in oropharyngeal dysphagia is the Clinical Swallowing Examination’s (CSE) importance in clinical practice. That debate can profit from the application of evidence-based medicine’s (EBM) principles and procedures. These can guide both appropriate data collection and interpretation as will be demonstrated in the present report. The study’s purpose from which data for this report are drawn was to determine the relationship among signs elicited by a CSE and aspiration on a subsequent videofluoroscopic swallowing examination (VFSE). Sensitivity, specificity; positive and negative predictive values (NPV); likelihood ratios; and post-test probabilities for a variety of signs in isolation and in combinations are reported. These data, if judiciously selected and interpreted contribute to the clinician’s knowledge about whether to follow a CSE with a VFSE and about what to expect if the VFSE is completed. Learning outcomes: (1) Clinicians will learn how to use EBM principles in conjunction with clinical assessments of swallowing to enhance patient care. (2) Clinicians will learn how to identify combinations of patient signs during he CSE to predict VFSE performance.

Additional Information

Publication
John C. Rosenbek, Gary H. McCullough, Robert T. Wertz (2004) "Is The Information About A Test Important? Applying The Methods Of Evidence-Based Medicine To The Clinical Examination Of Swallowing." Journal of Communication Disorders #37 pp. 437-450 Version of Record Available @ www.sciencedirect.com [DOI:10.1016/j.jcomdis.2004.04.007]
Language: English
Date: 2004
Keywords
dysphagia, clinical swallowing examination, sensitivity, specificity, post-test probability

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