Using Smart Displays to Implement an eHealth System for Older Adults With Multiple Chronic Conditions: Protocol for a Randomized Controlled Trial.

Using Smart Displays to Implement an eHealth System for Older Adults With Multiple Chronic Conditions: Protocol for a Randomized Controlled Trial.
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DOI:
10.2196/37522
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发表时间:
2022-05-05
影响因子:
1.7
通讯作者:
Mutlu, Bilge
Mutlu, Bilge
中科院分区:
其他
文献类型:
--
作者:
Gustafson Sr, David H. Sr;Mares, Marie-Louise;Johnston, Darcie C.;Landucci, Gina;Pe-Romashko, Klaren;Vjorn, Olivia J.;Hu, Yaxin;Gustafson, David H., Jr.;Maus, Adam;Mahoney, Jane E.;Mutlu, Bilge

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语音控制的智能扬声器和显示器在提供电子卫生干预方面具有独特但未经证实的潜力。许多基于笔记本电脑和智能手机的干预措施已被证明可以改善多种结果,但语音控制平台尚未在大规模严格的试验中进行过测试。患有多种慢性疾病的老年人需要工具来帮助他们进行日常管理,他们可能特别适合使用语音控制设备进行干预,因为这些患者通常有身体限制,例如震颤或视力问题,这使得使用笔记本电脑和智能手机变得困难。本研究的目的是评估在智能显示器上使用循证干预(ElderTree)的参与者与在笔记本电脑上使用ElderTree的参与者和没有设备或访问ElderTree的控制参与者相比,是否会减少疼痛干扰,改善生活质量和相关措施。将从初级保健诊所和社区组织招募291名年龄≥60岁的慢性疼痛和≥3种其他慢性疾病的成年人,并按1:1的比例随机分配到智能显示器上的ElderTree访问以及他们的常规护理,触摸屏幕笔记本电脑上的ElderTree访问以及常规护理,或单独进行常规护理。所有患者随访8个月。主要结果是组间疼痛干预和社会心理生活质量测量的差异。次要结局是8个月时系统使用、身体生活质量、疼痛强度、再入院率、与医疗服务提供者的沟通、健康困扰、幸福感、孤独感和易怒的组间差异。我们还将检查两个平台上的ElderTree效果的调解员和调解员。在基线、4个月和8个月时,患者将完成书面调查,包括在相似人群中选择具有良好心理测量特性的有效量表。ElderTree的使用数据会在系统日志中持续收集。我们将使用线性混合效应模型来评估随时间变化的结果,治疗条件和时间作为参与者之间的因素。将对每个结果分别进行分析。招聘从2021年8月开始,将持续到2023年4月。干预期将于2023年12月结束。研究结果将通过同行评议的出版物进行传播。据我们所知,这是第一个用大样本和长时间框架来研究语音控制的智能设备在对患有多种慢性疾病的老年患者实施健康干预方面是否能表现得和笔记本电脑一样好或更好的研究。由于患有多种疾病的患者是如此庞大的群体,因此对成本和患者福祉的影响是重大的。充分利用当前和正在开发的技术是这项工作的关键部分。ClinicalTrials.gov NCT04798196;https://clinicaltrials.gov/ct2/show/NCT04798196 prr1 - 10.2196/37522
Voice-controlled smart speakers and displays have a unique but unproven potential for delivering eHealth interventions. Many laptop- and smartphone-based interventions have been shown to improve multiple outcomes, but voice-controlled platforms have not been tested in large-scale rigorous trials. Older adults with multiple chronic health conditions, who need tools to help with their daily management, may be especially good candidates for interventions on voice-controlled devices because these patients often have physical limitations, such as tremors or vision problems, that make the use of laptops and smartphones challenging. The aim of this study is to assess whether participants using an evidence-based intervention (ElderTree) on a smart display will experience decreased pain interference and improved quality of life and related measures in comparison with participants using ElderTree on a laptop and control participants who are given no device or access to ElderTree. A total of 291 adults aged ≥60 years with chronic pain and ≥3 additional chronic conditions will be recruited from primary care clinics and community organizations and randomized 1:1:1 to ElderTree access on a smart display along with their usual care, ElderTree access on a touch screen laptop along with usual care, or usual care alone. All patients will be followed for 8 months. The primary outcomes are differences between groups in measures of pain interference and psychosocial quality of life. The secondary outcomes are between-group differences in system use at 8 months, physical quality of life, pain intensity, hospital readmissions, communication with medical providers, health distress, well-being, loneliness, and irritability. We will also examine mediators and moderators of the effects of ElderTree on both platforms. At baseline, 4 months, and 8 months, patients will complete written surveys comprising validated scales selected for good psychometric properties with similar populations. ElderTree use data will be collected continuously in system logs. We will use linear mixed-effects models to evaluate outcomes over time, with treatment condition and time acting as between-participant factors. Separate analyses will be conducted for each outcome. Recruitment began in August 2021 and will run through April 2023. The intervention period will end in December 2023. The findings will be disseminated via peer-reviewed publications. To our knowledge, this is the first study with a large sample and long time frame to examine whether a voice-controlled smart device can perform as well as or better than a laptop in implementing a health intervention for older patients with multiple chronic health conditions. As patients with multiple conditions are such a large cohort, the implications for cost as well as patient well-being are significant. Making the best use of current and developing technologies is a critical part of this effort. ClinicalTrials.gov NCT04798196; https://clinicaltrials.gov/ct2/show/NCT04798196 PRR1-10.2196/37522
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