Margolis Robert H, Saly George L, Le Chap, Laurence Jessica
Department of Otolaryngology, University of Minnesota, Minneapolis, Minnesota 55455, USA.
J Am Acad Audiol. 2007 Jan;18(1):78-89. doi: 10.3766/jaaa.18.1.7.
As audiology strives for cost containment, standardization, accuracy of tests, and accountability, greater use of automated tests is likely. Highly skilled audiologists employ quality control factors that contribute to test accuracy, but they are not formally included in test protocols, resulting in a wide range of accuracy, owing to the various skill and experience levels of clinicians. A method that incorporates validated quality indicators may increase accuracy and enhance access to accurate hearing tests. This report describes a quality assessment method that can be applied to any test that (1) requires behavioral or physiologic responses, (2) is associated with factors that correlate with accuracy, and (3) has an available independent measure of the dimension being assessed, including tests of sensory sensitivity, cognitive function, aptitude, academic achievement, and personality. In this report the method is applied to AMTAS, an automated method for diagnostic pure-tone audiometry.
随着听力学致力于控制成本、实现标准化、提高测试准确性以及增强问责制,自动化测试的使用可能会更加广泛。技术娴熟的听力学家会采用有助于测试准确性的质量控制因素,但这些因素并未正式纳入测试方案中,由于临床医生的技能和经验水平各不相同,导致测试准确性差异很大。一种纳入经过验证的质量指标的方法可能会提高准确性,并增加获得准确听力测试的机会。本报告描述了一种质量评估方法,该方法可应用于任何满足以下条件的测试:(1)需要行为或生理反应;(2)与准确性相关的因素有关;(3)有可用的被评估维度的独立测量方法,包括感觉敏感性测试、认知功能测试、能力倾向测试、学业成绩测试和人格测试。在本报告中,该方法应用于AMTAS,这是一种用于诊断纯音听力测定的自动化方法。