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利用远程医疗优化老年人健康独立生活:一项可行性研究。

Using telehealth to optimize healthy independent living for older adults: A feasibility study.

作者信息

Bakas Tamilyn, Sampsel Debi, Israel Jahmeel, Chamnikar Ameya, Bodnarik Barbara, Clark John Greer, Ulrich Megan Gresham, Vanderelst Dieter

机构信息

University of Cincinnati College of Nursing, PO Box 210038, Cincinnati, OH 45219, USA.

University of Cincinnati College of Nursing, PO Box 210038, Cincinnati, OH 45219, USA.

出版信息

Geriatr Nurs. 2018 Sep-Oct;39(5):566-573. doi: 10.1016/j.gerinurse.2018.04.002. Epub 2018 May 24.

Abstract

The purpose of this study was to test feasibility of the Telehealth Community Health Assistance Team (T-CHAT), a nurse-led intervention delivered through a telepresence robot designed to promote healthy independent living among older adults. Using a quasi-experimental design, 21 older adults were divided into a T-CHAT group (n = 11) or a waitlist control group (n = 10). The T-CHAT group received 3 weekly health coaching sessions from a nurse practitioner student through the telepresence robot. Data trends were analyzed using two-way repeated measures analysis of covariance (ANCOVA) with baseline values as co-variates; effect sizes using partial eta squared (η). Medium to large improvements in unhealthy days, depressive symptoms, sleep, quality of life, and confidence/self-efficacy were found favoring the T-CHAT group. Recruitment and retention strategies were successful, with lessons learned for future studies. Further research is warranted to refine and test efficacy of the T-CHAT program to promote healthy independent living among older adults.

摘要

本研究的目的是测试远程医疗社区健康援助团队(T-CHAT)的可行性,这是一种由护士主导的干预措施,通过远程呈现机器人实施,旨在促进老年人健康独立生活。采用准实验设计,将21名老年人分为T-CHAT组(n = 11)或候补对照组(n = 10)。T-CHAT组通过远程呈现机器人每周接受3次来自执业护士学生的健康指导课程。使用双向重复测量协方差分析(ANCOVA)并将基线值作为协变量来分析数据趋势;效应大小使用偏 eta 平方(η)。发现T-CHAT组在不健康天数、抑郁症状、睡眠、生活质量以及信心/自我效能方面有中度到大幅度的改善。招募和保留策略取得了成功,并为未来研究提供了经验教训。有必要进一步开展研究,以完善和测试T-CHAT项目促进老年人健康独立生活的效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/980e/6204306/184bf3b2010a/nihms962521f1.jpg

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