Timing of Coping Instruction Presentation for Real-time Acute Stress Management: Potential Implications for Improved Surgical Performance.

IF 5.9 Q1 Computer Science
Journal of Healthcare Informatics Research Pub Date : 2018-05-10 eCollection Date: 2018-06-01 DOI:10.1007/s41666-018-0016-y
Lauren Kennedy, Sarah Henrickson Parker
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引用次数: 0

Abstract

Individual performance on complex healthcare tasks can be influenced by acutely stressful situations. Real-time biofeedback using passive physiological monitoring may help to better understand an individual's progression towards acute stress-induced performance decrement. Providing biofeedback at an appropriate time may provide learners within an indicator that their current performance is susceptible to a decrement, and offer the opportunity to intervene. We explored the presentation timing of coping instructions during an acutely stressful task. In this pilot study, we recorded and analyzed electrocardiography data surrounding coping instruction presentation on various time schedules while participants played a first-person shooter computer game. Around times of significantly elevated heart rate, an indicator of acute stress, presenting a coping instruction tended to result in an increase in heart rate variability (HRV) following its presentation, with a more marked effect in high-stress conditions; not presenting a coping instruction at this time tended to result in a decrease in HRV in high-stress conditions, and no change in low-stress conditions. HRV following instruction presentation tended to increase in both high- and low-stress conditions when the instruction was presented at times of elevated heart rate; there was very little change in HRV when instruction presentation was not bound to physiology. Performance data showed that better performance was associated with greater adherence to coping instructions, compared to when zero instructions were followed. Implications for healthcare are significant, as acute stress is constant and it is necessary for providers to maintain a high level of performance.

实时急性压力管理的应对指导演示时机:改善手术表现的潜在影响。
个人在复杂医疗任务中的表现可能会受到急性应激情况的影响。利用被动生理监测进行实时生物反馈,有助于更好地了解个人在急性应激状态下的表现下降过程。在适当的时候提供生物反馈可为学习者提供一个指示器,表明他们当前的表现可能会下降,并提供干预的机会。我们探索了在一项急性压力任务中呈现应对指令的时机。在这项试验性研究中,我们记录并分析了参与者在玩第一人称射击电脑游戏时,围绕不同时间安排的应对指令演示的心电图数据。心率是急性应激的指标,在心率明显升高的前后,演示应对指令往往会导致演示后的心率变异性(HRV)增加,在高应激条件下效果更明显;在高应激条件下,此时不演示应对指令往往会导致心率变异性降低,而在低应激条件下则没有变化。在高压力和低压力条件下,如果在心率升高时发出指令,心率变异都会增加;如果指令的发出不受生理因素的影响,心率变异的变化很小。表现数据显示,与不遵守指令的情况相比,更好的表现与更多地遵守应对指令有关。这对医疗保健具有重要意义,因为急性压力是持续存在的,医疗服务提供者有必要保持高水平的工作表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Healthcare Informatics Research
Journal of Healthcare Informatics Research Computer Science-Computer Science Applications
CiteScore
13.60
自引率
1.70%
发文量
12
期刊介绍: Journal of Healthcare Informatics Research serves as a publication venue for the innovative technical contributions highlighting analytics, systems, and human factors research in healthcare informatics.Journal of Healthcare Informatics Research is concerned with the application of computer science principles, information science principles, information technology, and communication technology to address problems in healthcare, and everyday wellness. Journal of Healthcare Informatics Research highlights the most cutting-edge technical contributions in computing-oriented healthcare informatics.  The journal covers three major tracks: (1) analytics—focuses on data analytics, knowledge discovery, predictive modeling; (2) systems—focuses on building healthcare informatics systems (e.g., architecture, framework, design, engineering, and application); (3) human factors—focuses on understanding users or context, interface design, health behavior, and user studies of healthcare informatics applications.   Topics include but are not limited to: ·         healthcare software architecture, framework, design, and engineering;·         electronic health records·         medical data mining·         predictive modeling·         medical information retrieval·         medical natural language processing·         healthcare information systems·         smart health and connected health·         social media analytics·         mobile healthcare·         medical signal processing·         human factors in healthcare·         usability studies in healthcare·         user-interface design for medical devices and healthcare software·         health service delivery·         health games·         security and privacy in healthcare·         medical recommender system·         healthcare workflow management·         disease profiling and personalized treatment·         visualization of medical data·         intelligent medical devices and sensors·         RFID solutions for healthcare·         healthcare decision analytics and support systems·         epidemiological surveillance systems and intervention modeling·         consumer and clinician health information needs, seeking, sharing, and use·         semantic Web, linked data, and ontology·         collaboration technologies for healthcare·         assistive and adaptive ubiquitous computing technologies·         statistics and quality of medical data·         healthcare delivery in developing countries·         health systems modeling and simulation·         computer-aided diagnosis
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