Virtual Staff Training to Support Communication for Older Adults With Untreated Hearing Loss in Care Settings

Author:

Mamo Sara K.,Wheeler Kara A.,Garrity Katherine

Abstract

Purpose: The current quasi-experimental study aimed to develop and evaluate a virtual staff training on age-related hearing loss at a care organization for older adults. Method: Training included the use of affordable headset amplifiers and a hands-on activity in which hearing loss was simulated. Staff were encouraged to offer amplifiers to assist in communication given the high prevalence of untreated hearing loss among older adults and the increased communication difficulty that results from mask-wearing. Results: Quantitative results ( N = 51) from the pre/post questionnaire suggest that staff members gained knowledge about hearing loss and communication through the training session. Qualitative data over the 6-month post training suggest that some older adults had not only improved speech understanding but also improved quality of interactions with staff. The main reasons for not using the amplifiers were that staff would forget they had access to the amplifiers or the older adult would refuse to use the device. Conclusion: This article highlights successes of the training as well as ideas for future trainings suggested by staff members. A key finding was the need to identify a core group of staff members who would be charged with facilitating use of personal amplification for older adults in the organization. In addition, providing multiple brief trainings over time was suggested to improve adoption of good communication practices among staff. [ Journal of Gerontological Nursing, 50 (4), 48–56.]

Publisher

SLACK, Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3