Introducing CatchUTM: A Novel Multisensory Tool for Assessing Patients' Risk of Falling†

Jeannette R. Mahoney, Claudene J. George, J. Verghese
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引用次数: 1

Abstract

To date, only a few studies have investigated the clinical translational value of multisensory integration. Our previous research has linked the magnitude of visual-somatosensory integration (measured behaviorally using simple reaction time tasks) to important cognitive (attention) and motor (balance, gait, and falls) outcomes in healthy older adults. While multisensory integration effects have been measured across a wide array of populations using various sensory combinations and different neuroscience research approaches, multisensory integration tests have not been systematically implemented in clinical settings. We recently developed a step-by-step protocol for administering and calculating multisensory integration effects to facilitate innovative and novel translational research across diverse clinical populations and age-ranges. In recognizing that patients with severe medical conditions and/or mobility limitations often experience difficulty traveling to research facilities or joining time-demanding research protocols, we deemed it necessary for patients to be able to benefit from multisensory testing. Using an established protocol and methodology, we developed a multisensory falls-screening tool called CatchU ™ (an iPhone app) to quantify multisensory integration performance in clinical practice that is currently undergoing validation studies. Our goal is to facilitate the identification of patients who are at increased risk of falls and promote physician-initiated falls counseling during clinical visits (e.g., annual wellness, sick, or follow-up visits). This will thereby raise falls-awareness and foster physician efforts to alleviate disability, promote independence, and increase quality of life for our older adults. This conceptual overview highlights the potential of multisensory integration in predicting clinical outcomes from a research perspective, while also showcasing the practical application of a multisensory screening tool in routine clinical practice.
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介绍CatchUTM:一种评估患者跌倒风险的新型多感官工具
迄今为止,只有少数研究调查了多感觉整合的临床转化价值。我们之前的研究已经将健康老年人的视觉-体感统合程度(使用简单的反应时间任务来测量行为)与重要的认知(注意力)和运动(平衡、步态和跌倒)结果联系起来。虽然使用各种感觉组合和不同的神经科学研究方法在广泛的人群中测量了多感觉整合效应,但多感觉整合测试尚未在临床环境中系统地实施。我们最近制定了一个逐步管理和计算多感觉整合效应的协议,以促进跨不同临床人群和年龄范围的创新和新颖的转化研究。由于认识到患有严重疾病和/或行动受限的患者通常难以前往研究机构或参加时间要求高的研究方案,我们认为有必要使患者能够从多感官测试中受益。使用既定的协议和方法,我们开发了一种名为CatchU™(一款iPhone应用程序)的多感觉跌倒筛查工具,用于量化临床实践中的多感觉整合表现,目前正在进行验证研究。我们的目标是促进识别有增加跌倒风险的患者,并在临床就诊期间(例如,年度健康、生病或随访)促进医生发起的跌倒咨询。因此,这将提高跌倒意识,促进医生努力减轻残疾,促进独立性,提高老年人的生活质量。这一概念概述强调了从研究角度预测临床结果的多感觉整合的潜力,同时也展示了多感觉筛查工具在常规临床实践中的实际应用。
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