Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Department of Communication Sciences and Disorders, University of Wisconsin-Madison, Madison, WI, USA.
Int J Audiol. 2021 Aug;60(8):598-606. doi: 10.1080/14992027.2020.1853260. Epub 2020 Dec 7.
The purpose of this study was to (i) develop a model that predicts hearing aid (HA) use and (ii) determine if model fit is improved by adding factors not typically collected in audiological evaluations.
Two models were created and evaluated. The "clinical" model used factors typically collected during audiologic clinical evaluations. The "expanded" model considered additional clinical, health and lifestyle factors to determine if the model fit could be improved (compared to clinical model). Models were created with least absolute shrinkage and selection operator (LASSO) logistic regression with 10-fold cross validation. Predictive ability was evaluated via receiver operating characteristic curves and concordance statistics (c-statistics).
This study included 275 participants from the Beaver Dam Offspring Study, a prospective longitudinal cohort study of aging, with a treatable level of hearing loss and no HA use at baseline.
The clinical and expanded models report predictors important for HA use. The c-statistics of the clinical (0.80) and expanded (0.79) models were not significantly different ( = 0.41).
Similar predictive abilities of models suggest audiological evaluations perform well in predicting HA use.
本研究旨在（i）开发一种预测助听器（HA）使用的模型，以及（ii）确定通过添加通常不在听力学评估中收集的因素是否可以改善模型拟合。
创建并评估了两个模型。“临床”模型使用了在听力学临床评估中通常收集的因素。“扩展”模型考虑了其他临床、健康和生活方式因素，以确定是否可以改善模型拟合（与临床模型相比）。使用 10 倍交叉验证的最小绝对值收缩和选择算子（LASSO）逻辑回归创建了模型。通过接收者操作特征曲线和一致性统计量（c 统计量）评估预测能力。
本研究包括来自比弗大坝后代研究的 275 名参与者，这是一项针对衰老的前瞻性纵向队列研究，具有可治疗的听力损失水平，基线时无助听器使用。
临床和扩展模型报告了对 HA 使用重要的预测因素。临床（0.80）和扩展（0.79）模型的 c 统计量无显著差异（ = 0.41）。
模型具有相似的预测能力表明，听力学评估在预测 HA 使用方面表现良好。
