Annenberg School for Communication and Journalism, 5116University of Southern California, Los Angeles, CA, USA.
Health Informatics J. 2023 Jan-Mar;29(1):14604582231152188. doi: 10.1177/14604582231152188.
The increasing incidence of dementia calls for effective and innovative approaches to alleviate societal and personal burdens. Aging in place is a sustainable paradigm which ensures the best utilization of societal resources, supports caregivers, secures normalcy, and optimizes care for persons with dementia (PwD). Home-based surveillance technology can support PwD in safely aging in place. This study examines factors associated with the adoption of home-based surveillance technologies among unpaid dementia caregivers. Through an online survey ( = 203), we apply ordinal logistic regression to identify five variables that predict the likelihood of caregivers' surveillance technology adoption for dementia care. The predictors are caregivers': (1) trouble concerns about PwD, (2) online support group membership, (3) perceived social norms regarding surveillance technology use, (4) perceived usefulness of surveillance devices, and (5) depth of information and communication technologies (ICT) use. Theoretical and practical implications for dementia healthcare are discussed.
痴呆症发病率的上升要求我们采取有效且创新的方法来减轻社会和个人负担。原地老龄化是一种可持续的模式,可确保社会资源得到最佳利用,为护理人员提供支持,保障正常生活,并优化痴呆症患者(PwD)的护理。基于家庭的监测技术可以支持 PwD 安全地原地老龄化。本研究考察了与无薪痴呆症护理人员采用基于家庭的监测技术相关的因素。通过在线调查(n = 203),我们应用有序逻辑回归来确定五个预测护理人员采用痴呆症护理监测技术可能性的变量。这些预测因子是护理人员:(1)对 PwD 的麻烦担忧,(2)在线支持小组的成员资格,(3)对监测技术使用的感知社会规范,(4)对监测设备的感知有用性,以及(5)信息和通信技术(ICT)使用的深度。讨论了痴呆症医疗保健的理论和实践意义。