Remote Digital Health Intervention to Improve Balance and Reduce Fall Risk

项目摘要 当前I期提案的目标是进一步开发（关键试验准备就绪）和评估 计算机化训练计划（rSTAND），以延长老年人的功能独立性，降低跌倒风险。 这种干预可能会使大量易受伤害的老年人受益，这些老年人的风险较高， 意外福尔斯跌倒，目前缺乏长期可行的治疗方案。 大约三分之一的65岁以上的社区老年人面临至少一次跌倒的风险 每年，导致骨折或其他重大伤害。尽管许多预防跌倒的干预措施 随着技术的发展，福尔斯的患病率正在增加，治疗非跌倒的经济成本很高。 致命的坠落伤因此，预防老年人的福尔斯跌倒对于确保持续的功能性康复至关重要。 在以后的生活中独立，防止因骨折或更糟（过早死亡）而残疾，并保持 我们有限的卫生保健资源的可行性。 在这里，我们建议完成新的计算机化执行功能/认知功能的开发和测试。 培训计划。该计划的目标核心执行功能（工作记忆，抑制），速度 处理和持续的注意力，并基于设计原则，驱动自适应大脑可塑性， 改善认知功能，增强跌倒风险较高的老年人的功能能力。在 完成本项目后，我们将有足够的结果数据来支持大规模的随机对照研究。 II期试验，旨在确定该计划对年龄相关性高跌倒患者的医疗疗效 风险

PROJECT SUMMARY The goal of the current Phase I proposal is to further develop (to pivotal trial readiness) and evaluate a computerized training program (rSTAND) to extend older adults’ functional independence and reduce fall risk. This intervention may benefit a large population of vulnerable older adults that are at an elevated risk for accidental falls with current lack of long-term viable treatment options. Approximately one third of community dwelling senior over age 65 are at risk of suffering at least one fall annually, resulting in fractures or other major injuries. Although numerous fall prevention interventions have been developed, the prevalence of falls is increasing and there are high economic costs for treatments of non- fatal fall injuries. Thus, prevention of falls in older adults is critically important to ensure sustained functional independence later in life, prevent disability due to fractures or worse (premature mortality) and maintain the viability of our limited health care resources. Here, we propose to complete the development and testing of novel computerized executive function/cognitive training program. The program targets core executive functions (working memory, inhibition), speed of processing and sustained attention, and is grounded on design principles that drive adaptive brain plasticity to improve cognitive function and bolster functional abilities in older adults with an elevated fall risk. At the completion of this project we will have outcomes data sufficient to support a large scale randomized controlled trial in Phase II designed to establish medical efficacy of this program for people with age-related elevated fall risk.