首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Development of the Hearing Rehabilitation for Older Adults (HeRO) Healthcare Mobile Application and Its Likely Utility for Elderly Users
【2h】

Development of the Hearing Rehabilitation for Older Adults (HeRO) Healthcare Mobile Application and Its Likely Utility for Elderly Users

机译:老年人听力康复(HeRO)医疗保健移动应用程序的开发及其对老年人的实用性

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The present study aimed to develop a healthcare application for the elderly who suspect or know they have a hearing loss, namely, the Hearing Rehabilitation for Older Adults (HeRO), which is available in a mobile device, and then to confirm its probability of acceptance among elderly users. Under a web server system, HeRO which had four types of tailored training for the aged auditory system (i.e., syllable, sentence, discourse, working memory) and a self-reported questionnaire to screen amount of the hearing loss was completed for the elderly. To verify whether the HeRO contents and functions were user-friendly to the elderly users, the technology acceptance model (TAM) was used. Forty-four older adults were asked to use the developed application for 10 days and then respond to a TAM questionnaire with 25 items. The Cronbach’s α coefficient of each subcategory was very high. The construct validity of all subcategories showed high eigenvalues using principal component analysis. Furthermore, our regression model statistically supported a persuasive intention to use the healthcare application because the elderly readily accept it and find it easy to manipulate. We expect the current technology to be applied to the general public as well as the elderly who want to explore digital health.
机译:本研究旨在为怀疑或知​​道他们有听力损失的老年人开发医疗保健应用程序,即可在移动设备中使用的老年人听力康复(HeRO),然后确认其接受的可能性。在老年人中。在网络服务器系统下,完成了针对老年人听觉系统的四种类型的定制培训(即音节,句子,语篇,工作记忆)和用于筛查老年人听力损失的自我报告问卷的HeRO。为了验证HeRO的内容和功能是否对老年人用户友好,使用了技术接受模型(TAM)。要求四十四名成年人使用开发的应用程序10天,然后用25个项目回答TAM问卷。每个子类别的Cronbachα系数都很高。使用主成分分析,所有子类别的构造效度均显示出较高的特征值。此外,我们的回归模型在统计学上支持说服性的意图使用医疗保健应用程序,因为老年人很容易接受它并且发现它易于操作。我们希望当前的技术可以应用到普通大众以及希望探索数字健康的老年人身上。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号