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.

项目概要 在低收入和中等收入国家，老年轮椅使用者每 2-3 个月就会经历一次轮椅故障 国家（中低收入国家）和高收入国家的农村地区，三分之一的故障会导致身体状况不佳、 对轮椅使用者造成的社会、心理和经济后果，增加了公众健康和 研究发现，预防性轮椅维护可以减少使用轮椅的频率。 故障十倍，但对维护建议的遵守率极低，因为它们 通用的，不反映轮椅的使用方式和地点。为了解决这个问题，我们正在这样做。 开发低成本、可扩展的维护应用程序，利用人工智能工具来提供 针对轮椅使用方式量身定制的维护建议 低成本技术的可用性和 中低收入国家老年人和残疾人广泛使用智能手机促使我们开发了一种 名为 WheelTrak 的智能手机应用程序可根据社区使用情况来衡量轮椅磨损情况。 根据磨损因素，应用程序生成代表轮椅磨损指数 (WWI) 一旦达到第一次世界大战阈值，就容易发生故障的关键轮椅部件的磨损，需要进行维护。 是必需的，并且应用程序通知可以进行维护的用户和/或护理人员，以避免 我们将与我们合作进行数据收集研究。 轮椅行业合作伙伴 – 萨尔瓦多的 UCP Wheels – 通过追踪老年人的第一次世界大战特征 磨损因素，包括用户的行驶距离、地面冲击和表面振动（使用 WheelTrak 和 基于经过训练的 WWI 算法，将为车轮传感器制定预防性维护计划。 可以通过 WheelTrak 雇用老年人进行半结构化访谈。 将评估应用程序的可用性并收集用户反馈的障碍。 将协助我们改进 WheelTrak，以提高用户满意度和维护合规性，以及 解决老年用户及其护理人员或家庭成员可能面临的任何个人或后勤挑战 本申请中拟议研究的结果将面临在中低收入国家开展维护活动的问题。 协助我们规划未来的研究，调查支持第一次世界大战的 WheelTrak 工具作为预防的干预措施 或减少中低收入国家老年人的崩溃和健康后果。