@Article{info:doi/10.2196/16286,作者=“Munsell, Michael and De Oliveira, Emily and Saxena, Sadhvi and Godlove, Jason and Kiran, Swathi”,标题=“缩小语音、语言和认知治疗中的数字鸿沟:与康复技术使用相关因素的队列研究”,期刊=“J Med Internet Res”,年=“2020”,月=“Feb”,日=“11”,卷=“22”,数=“2”,页=“e16286”,关键词=“失语症”;中风;外伤性脑损伤;背景:对于中风、创伤性脑损伤(TBI)和其他与言语语言障碍相关的神经系统疾病,言语和语言治疗是促进康复的标准护理。然而,诸如临床医生时间限制和保险报销等障碍可能会抑制患者获得优化功能增益所需的支持的能力。尽管数字康复有可能通过允许患者在家练习来增加获得治疗的机会,但影响患者参与基于技术的治疗水平的临床和人口统计学特征目前尚不清楚。目的:本研究旨在评估不同患者特征(包括年龄、性别、诊断、发病时间和地理位置(城市与农村))对数字治疗的参与程度是否存在差异。方法:回顾性分析卒中或TBI患者开始使用Constant Therapy(一种远程交付的基于云的语言障碍患者康复计划)的数据。仅包括在家中完成的治疗过程的数据。评估了以下三个活动指标:(1)有效治疗周数,(2)每周平均有效治疗天数,(3)前20周计划访问期间完成的治疗疗程总数。 An active day or week was defined as having at least one completed therapeutic session. Separate multiple linear regression models were performed with each activity measure as the dependent variable and all available patient demographics as model covariates. Results: Data for 2850 patients with stroke or TBI were analyzed, with the average patient completing 8.6 weeks of therapy at a frequency of 1.5 days per week. Contrary to known barriers to technological adoption, older patients were more active during their first 20 weeks of program access, with those aged 51 to 70 years completing 5.01 more sessions than patients aged 50 years or younger (P=.04). Similarly, patients living in a rural area, who face greater barriers to clinic access, were more digitally engaged than their urban counterparts, with rural patients completing 11.54 more (P=.001) sessions during their first 20 weeks of access, after controlling for other model covariates. Conclusions: An evaluation of real-world data demonstrated that patients with stroke and TBI use digital therapy frequently for cognitive and language rehabilitation at home. Usage was higher in areas with limited access to clinical services and was unaffected by typical barriers to technological adoption, such as age. These findings will help guide the direction of future research in digital rehabilitation therapy, including the impact of demographics on recovery outcomes and the design of large, randomized controlled trials. ", issn="1438-8871", doi="10.2196/16286", url="//www.mybigtv.com/2020/2/e16286", url="https://doi.org/10.2196/16286" }
Baidu
map