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神经内科门诊患者更愿意选择在家进行脑电图监测而非住院监测——基于 UTAUT 模型的分析。

Neurological Outpatients Prefer EEG Home-Monitoring over Inpatient Monitoring-An Analysis Based on the UTAUT Model.

机构信息

Department of Neurology, Otto-von-Guericke University Magdeburg, Leipziger Str. 44, 39120 Magdeburg, Germany.

Institute for Sensory and Innovation Research (ISI GmbH), Ascherberg 2, 37124 Rosdorf, Germany.

出版信息

Int J Environ Res Public Health. 2022 Oct 13;19(20):13202. doi: 10.3390/ijerph192013202.

Abstract

Home monitoring examinations offer diagnostic and economic advantages compared to inpatient monitoring. In addition, these technical solutions support the preservation of health care in rural areas in the absence of local care providers. The acceptance of patients is crucial for the implementation of home monitoring concepts. The present research assesses the preference for a health service that is to be introduced, namely an EEG home-monitoring of neurological outpatients-using a mobile, dry-electrode EEG (electroencephalography) system-in comparison to the traditional long-time EEG examination in a hospital. Results of a representative study for Germany ( = 421) reveal a preference for home monitoring. Importantly, this preference is partially driven by a video explaining the home monitoring system. We subsequently analyzed factors that influence the behavioral intention (BI) to use the new EEG system, drawing on an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model. The strongest positive predictor of BI is the belief that EEG home-monitoring will improve health quality, while computer anxiety and effort expectancy represent the strongest barriers. Furthermore, we find the UTAUT model's behavioral intention construct to predict the patients' decision for or against home monitoring more strongly than any other patient's characteristic such as gender, health condition, or age, underlying the model's usefulness.

摘要

家庭监测检查与住院监测相比具有诊断和经济优势。此外,这些技术解决方案支持在当地医疗服务提供者缺乏的情况下,在农村地区保持医疗保健。患者的接受度对于实施家庭监测概念至关重要。本研究评估了对拟议卫生服务的偏好,即使用移动、干式电极脑电图(EEG)系统对神经科门诊患者进行 EEG 家庭监测,与在医院进行传统长时间 EEG 检查相比。一项针对德国的代表性研究(=421)结果显示,人们更倾向于家庭监测。重要的是,这种偏好部分是由解释家庭监测系统的视频驱动的。随后,我们根据扩展的统一接受和使用技术理论(UTAUT)模型,分析了影响使用新 EEG 系统的行为意向(BI)的因素。BI 的最强正向预测因素是相信 EEG 家庭监测将提高健康质量,而计算机焦虑和努力期望则代表最强的障碍。此外,我们发现 UTAUT 模型的行为意向构念比任何其他患者特征(如性别、健康状况或年龄)更能预测患者对或反对家庭监测的决定,这证明了该模型的有用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88e2/9603390/5f3931d53d08/ijerph-19-13202-g0A1.jpg

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