Pronk Marieke, Meijerink Janine F J, Kramer Sophia E, Heymans Martijn W, Besser Jana
Amsterdam UMC, Vrije Universiteit Amsterdam, Otolaryngology-Head and Neck Surgery, Section Ear & Hearing, Amsterdam Public Health Research Institute, the Netherlands.
Schoonenberg HoorSupport, Dordrecht, the Netherlands.
Am J Audiol. 2019 Oct 16;28(3S):802-805. doi: 10.1044/2019_AJA-HEAL18-18-0163.
Purpose The current study aimed to identify factors that distinguish between older (50+ years) hearing aid (HA) candidates who do and do not purchase HAs after having gone through an HA evaluation period (HAEP). Method Secondary data analysis of the SUpport PRogram trial was performed ( = 267 older, 1st-time HA candidates). All SUpport PRogram participants started an HAEP shortly after study enrollment. Decision to purchase an HA by the end of the HAEP was the outcome of interest of the current study. Participants' baseline covariates (22 in total) were included as candidate predictors. Multivariable logistic regression modeling (backward selection and reclassification tables) was used. Results Of all candidate predictors, only pure-tone average (average of 1, 2, and 4 kHz) hearing loss emerged as a significant predictor (odds ratio = 1.03, 95% confidence interval [1.03, 1.17]). Model performance was weak (Nagelkerke = .04, area under the curve = 0.61). Conclusions These data suggest that, once HA candidates have decided to enter an HAEP, factors measured early in the help-seeking journey do not predict well who will and will not purchase an HA. Instead, factors that act during the HAEP may hold this predictive value. This should be examined.
目的 本研究旨在确定在经历助听器评估期（HAEP）后，购买和未购买助听器的老年（50岁及以上）助听器候选人之间的区别因素。方法 对支持项目试验进行二次数据分析（n = 267名首次使用助听器的老年候选人）。所有支持项目参与者在研究入组后不久开始HAEP。在HAEP结束时购买助听器的决定是本研究感兴趣的结果。参与者的基线协变量（共22个）作为候选预测因素纳入。使用多变量逻辑回归建模（向后选择和重新分类表）。结果 在所有候选预测因素中，只有纯音平均听阈（1、2和4kHz的平均值）听力损失成为显著预测因素（优势比 = 1.03，95%置信区间[1.03, 1.17]）。模型性能较弱（Nagelkerke R² = .04，曲线下面积 = 0.61）。结论 这些数据表明，一旦助听器候选人决定进入HAEP，在寻求帮助过程早期测量的因素并不能很好地预测谁会购买和谁不会购买助听器。相反，在HAEP期间起作用的因素可能具有这种预测价值。对此应进行研究。
