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首页> 外文期刊>Journal of medical Internet research >A Protocol-Driven, Bedside Digital Conversational Agent to Support Nurse Teams and Mitigate Risks of Hospitalization in Older Adults: Case Control Pre-Post Study
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A Protocol-Driven, Bedside Digital Conversational Agent to Support Nurse Teams and Mitigate Risks of Hospitalization in Older Adults: Case Control Pre-Post Study

机译:一个协议驱动的,床边数字对话代理,以支持护士团队和减轻老年人住院风险:案例控制后的研究前

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Background Hospitalized older adults often experience isolation and disorientation while receiving care, placing them at risk for many inpatient complications, including loneliness, depression, delirium, and falls. Embodied conversational agents (ECAs) are technological entities that can interact with people through spoken conversation. Some ECAs are also relational agents, which build and maintain socioemotional relationships with people across multiple interactions. This study utilized a novel form of relational ECA, provided by Care Coach (care.coach, inc): an animated animal avatar on a tablet device, monitored and controlled by live health advocates. The ECA implemented algorithm-based clinical protocols for hospitalized older adults, such as reorienting patients to mitigate delirium risk, eliciting toileting needs to prevent falls, and engaging patients in social interaction to facilitate social engagement. Previous pilot studies of the Care Coach avatar have demonstrated the ECA’s usability and efficacy in home-dwelling older adults. Further study among hospitalized older adults in a larger experimental trial is needed to demonstrate its effectiveness. Objective The aim of the study was to examine the effect of a human-in-the-loop, protocol-driven relational ECA on loneliness, depression, delirium, and falls among diverse hospitalized older adults. Methods This was a clinical trial of 95 adults over the age of 65 years, hospitalized at an inner-city community hospital. Intervention participants received an avatar for the duration of their hospital stay; participants on a control unit received a daily 15-min visit from a nursing student. Measures of loneliness (3-item University of California, Los Angeles Loneliness Scale), depression (15-item Geriatric Depression Scale), and delirium (confusion assessment method) were administered upon study enrollment and before discharge. Results Participants who received the avatar during hospitalization had lower frequency of delirium at discharge ( P &.001), reported fewer symptoms of loneliness ( P =.01), and experienced fewer falls than control participants. There were no significant differences in self-reported depressive symptoms. Conclusions The study findings validate the use of human-in-the-loop, relational ECAs among diverse hospitalized older adults.
机译:背景,住院老年人经常在收到护理时经常遇到隔离和迷失方向,让它们面临许多入住性并发症的风险,包括孤独,抑郁症,谵妄和跌倒。体现的会话代理(ECA)是可以通过口语对话与人互动的技术实体。一些ECA也是关系代理人,其建立和维持与多种交互的人的社会情感关系。本研究采用了由护理教练(Care.Coach,Inc)提供的新形式的关系ECA形式:通过现场健康倡导者监控和控制的平板电脑设备上的动画动物化身。 ECA实施了用于住院老年人的基于算法的临床协议,例如重新定位患者,以减轻谵妄风险,引出厕所需要防止跌倒,并从事社会互动患者以促进社会参与。以前的护理教练头像试点已经证明了家庭住宅老年人的ECA的可用性和疗效。需要进一步研究较大的实验试验中的住院老年人,以证明其有效性。目的该研究的目的是审查人在循环的循环方案驱动的关系ECA对孤独,抑郁症,谵妄和落下的影响的效果。方法这是一个65岁以上95名成年人的临床试验,位于内部城市社区医院。干预参与者在其住院期间收到了化身;控制部门的参与者从护理学生获得每日15分钟的访问。在学习入学期间和出院前施用孤独孤独措施(加州3件,洛杉矶寂寞量表),抑郁症(15件衰老抑郁症)和谵妄(混淆评估方法)。结果在住院期间接受头像的参与者在放电时患者频率较低(P< .001),报告孤独的症状较少(P = .01),并且经历了比控制参与者更少的跌落。自我报告的抑郁症状没有显着差异。结论研究调查结果验证了人类循环的使用,在不同住院老年人之间的使用。

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