Experiences and Perceptions of Distinct Telehealth Delivery Models for Remote Patient Monitoring among Older Adults in the Community.

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2024-01-11 eCollection Date: 2023-01-01
Zhan Zhang, Jina Huh-Yoo, Karen Joy, Monica Angeles, David Sachs, John Migliaccio, Melody K Schiaffino
{"title":"Experiences and Perceptions of Distinct Telehealth Delivery Models for Remote Patient Monitoring among Older Adults in the Community.","authors":"Zhan Zhang, Jina Huh-Yoo, Karen Joy, Monica Angeles, David Sachs, John Migliaccio, Melody K Schiaffino","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Three major telehealth delivery models-home-based, community-based, and telephone-based-have been adopted to enable remote patient monitoring of older adults to improve patient experience and reduce healthcare costs. Even though prior work has evaluated each of these delivery models, we know less about the perceptions and user experiences across these telehealth delivery models for older adults. In the present work, we addressed this research gap by interviewing 16 older adults who had experience using all these telehealth delivery models. We found that the community-based telehealth model with in-person interactions was perceived as the most preferred and useful program, followed by home-based and telephone-based models. Persistent needs reported by participants included ease of access to their historical physiological data, useful educational information for health self-management, and additional health status tracking. Our findings will inform the design and deployment of telehealth technology for vulnerable aging populations.</p>","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2023 ","pages":"794-803"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10785840/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AMIA ... Annual Symposium proceedings. AMIA Symposium","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Three major telehealth delivery models-home-based, community-based, and telephone-based-have been adopted to enable remote patient monitoring of older adults to improve patient experience and reduce healthcare costs. Even though prior work has evaluated each of these delivery models, we know less about the perceptions and user experiences across these telehealth delivery models for older adults. In the present work, we addressed this research gap by interviewing 16 older adults who had experience using all these telehealth delivery models. We found that the community-based telehealth model with in-person interactions was perceived as the most preferred and useful program, followed by home-based and telephone-based models. Persistent needs reported by participants included ease of access to their historical physiological data, useful educational information for health self-management, and additional health status tracking. Our findings will inform the design and deployment of telehealth technology for vulnerable aging populations.

分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
社区老年人对远程病人监护的不同远程医疗服务模式的体验和看法。
三种主要的远程医疗提供模式--基于家庭、基于社区和基于电话--已被采用,以实现对老年人的远程患者监护,从而改善患者体验并降低医疗成本。尽管之前的工作已经对这些提供模式逐一进行了评估,但我们对老年人对这些远程医疗提供模式的看法和用户体验了解较少。在本研究中,我们通过采访 16 位有过使用所有这些远程医疗交付模式经验的老年人,填补了这一研究空白。我们发现,以社区为基础、与人互动的远程保健模式被认为是最受欢迎和最有用的项目,其次是以家庭为基础和以电话为基础的模式。参与者报告的持续需求包括:便于访问他们的历史生理数据、对健康自我管理有用的教育信息以及额外的健康状况跟踪。我们的研究结果将为弱势老年人群远程医疗技术的设计和部署提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Ethicara for Responsible AI in Healthcare: A System for Bias Detection and AI Risk Management. Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint. Towards Understanding the Generalization of Medical Text-to-SQL Models and Datasets. Transferable and Interpretable Treatment Effectiveness Prediction for Ovarian Cancer via Multimodal Deep Learning. Understanding Cancer Caregiving and Predicting Burden: An Analytics and Machine Learning Approach.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1