Development of a Wheelchair Maintenance Alert Application for Elderly Wheelchair Users

为老年轮椅使用者开发轮椅维护警报应用程序

• 批准号: 10095020
• 负责人: Anand Mhatre
• 金额: $ 7.59万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-30 至 2022-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10095020
• 关键词: Activities of Daily Living; Address; Adult; Algorithms; Artificial Intelligence; Beds; Caregivers; Cause of Death; Cellular Phone; Clinic; Collaborations; Communities; Country; Data; Data Collection; Development; Devices; Disabled Persons; Economics; El Salvador; Elderly; Environment; Face; Failure; Family member; Feedback; Frequencies; Future; Goals; Health; Hospitalization; Income; Injury; Intervention; Intervention Studies; Interview; Life Style; Logistics; Long-Term Care; Maintenance; Manual wheelchair; Measures; Mental Depression; Modeling; Monitor; Names; Notification; Pattern; Personal Satisfaction; Population; Preventive; Provider; Public Health; Recommendation; Risk; Schedule; Services; Shock; Societies; Structure; Study models; Surface; Technology; Time; Training; Travel; User Compliance; Wheelchairs; aged; base; cohort; cost; decubitus ulcer; disability; evidence base; experience; improved; indexing; industry partner; low and middle-income countries; prevent; prospective; psychosocial; rural area; satisfaction; sensor; sensor technology; smartphone Application; social; tool; usability; vibration

Project Summary Elderly wheelchair users experience wheelchair breakdowns every 2-3 months in low- and middle-income countries (LMICs) and rural areas of high-income countries. One in three breakdowns leads to adverse physical, social, psychosocial and economic consequences to wheelchair users which increases the public health and personal burden. Preventative wheelchair maintenance has been found to reduce the frequency of wheelchair breakdowns by ten-fold, but compliance with maintenance recommendations is extremely low because they are generic and not reflective of how and where the wheelchair is being used. To address this issue, we are developing a low-cost, scalable maintenance application that leverages artificial intelligence tools to provide maintenance recommendations tailored to how a wheelchair is used. The availability of low-cost technology and widespread use of smartphones by the elderly and people with disabilities in LMICs has led us to develop a smartphone application called WheelTrak that measures wheelchair wear as a function of usage in community. Based on the wear factors, the application produces a Wheelchair Wear Index (WWI) that is representative of wear of critical wheelchair parts that are prone to breakdown. Once a WWI threshold is reached, maintenance is required, and the application notifies the user and/or caregiver who can conduct maintenance to avoid breakdowns and related health consequences. We will conduct a data collection study in collaboration with our wheelchair industry partner – UCP Wheels in El Salvador – and characterize the WWI for the elderly by tracking wear factors which include user’s travel distance, ground shocks and surface vibrations using WheelTrak and a wheel sensor. Based on the trained WWI algorithm, a preventative maintenance schedule will be developed for older adults that can be employed through WheelTrak for maintenance reminders. Semi-structured interviews will be conducted to evaluate the usability of the application and gather barriers to maintenance. User feedback will assist us in improving WheelTrak for greater user satisfaction and compliance with maintenance, and addressing any personal or logistical challenges that elderly users and their caregivers or family members may face with conducting maintenance activities in LMICs. Findings from the proposed studies in this application will assist us in planning future studies to investigate the WWI-enabled WheelTrak tool as an intervention to prevent or reduce breakdowns and health consequences with the elderly in LMICs.

项目摘要 老年轮椅使用者在低收入和中等收入中每2-3个月都会出现轮椅衰竭 国家（LMIC）和高收入国家的粗糙地区。三分之一的分解导致身体不良， 对轮椅使用者的社会，社会心理和经济后果，从而增加了公共卫生和 个人伯恩。已经发现预防轮椅维护可以减少轮椅的频率 分解十倍，但遵守维护建议非常低，因为它们是 通用，不反映使用轮椅的方式和地点。为了解决这个问题，我们是 开发低成本，可扩展的维护应用程序，该应用程序利用人工智能工具提供 维护建议是针对如何使用轮椅的。低成本技术的可用性和 老年人和LMIC中残疾人对智能手机的广泛使用使我们开发了一个 智能手机应用程序称为WheelTrak，可测量轮椅磨损作为社区使用的函数。 根据磨损因素，应用程序产生轮椅磨损指数（WWI），代表 穿着容易崩溃的关键轮椅零件的磨损。一旦达到WWI阈值，维护 需要，该应用程序通知可以进行维护以避免的用户和/或护理人员 细分和相关的健康后果。我们将与我们的数据收集研究 轮椅行业合作伙伴 - 萨尔瓦多的UCP车轮 - 并通过跟踪来描述老年人的第一次世界大战 磨损因素，包括用户的旅行距离，地面冲击和使用WheelTrak和A 车轮传感器。根据训练有素的WWI算法，将制定预防性维护时间表 可以通过WheelTrak雇用的老年人进行维护提醒。半结构化访谈 将进行评估应用程序的可用性并收集维护障碍。用户反馈 将协助我们改善WheelTrak，以提高用户满意度和遵守维护，以及 应对老年用户及其护理人员或家人的任何个人或后勤挑战可能 面对LMICS进行维护活动。本应用程序中拟议研究的发现将 协助我们计划未来的研究，以调查启用WWI-abled WheelTrak工具，以防止 或减少LMIC的崩溃和健康后果。