Mhatre Anand, Loew Cassandra, Yurtsever Ekim, Mair Colin
The Ohio State University, Division of Occupational Therapy, College of Medicine, Columbus, OH, USA.
The Ohio State University College of Engineering, Columbus, OH, USA.
Disabil Rehabil Assist Technol. 2025 Jan;20(1):127-134. doi: 10.1080/17483107.2024.2353861. Epub 2024 May 16.
: This study evaluates the effect of power wheelchair telemonitoring and battery charging training on user charging behavior and repair measures and assesses the relationship between wheelchair usage and repair measures to support technician-led servicing.: This is a retrospective analysis of two matched cohorts with a total of =237 users from the NHS service dataset. In the training cohort, a wheelchair usage telemonitoring device monitored the battery usage of =119 power wheelchair users for 12 months. Users whose battery charging behavior was not optimal were instructed on appropriate charging practices. Wheelchair usage parameters of wheelchair drive and power time every month were used to predict repairs and associated costs.: Fifty-four out of 119 users in the training cohort did not charge batteries regularly and were instructed on appropriate charging. Twenty-six of them changed their behavior and charged their batteries every night. This cohort experienced reduced battery repairs by 18%, wheelchair repairs by 11%, and repair costs by £3,092 compared to a matched standard care cohort (=118). User age and drive time were associated with repair measures. Drive time predicted time-to-failure for wheelchair parts and classified failure risk with the area under the receiver operating characteristic curve as 0.71 (95% CI 0.61 to 0.82; <.001). : By leveraging the significant relationships between wheelchair usage and repairs, wheelchair users at risk of part failures can be identified, and technician-led servicing tools for proactive interventions can be developed. Wheelchair battery health telemonitoring and instructing users on appropriate battery charging reduced repairs and associated costs.
本研究评估电动轮椅远程监测和电池充电培训对用户充电行为及维修措施的影响，并评估轮椅使用情况与维修措施之间的关系，以支持技术人员主导的维修服务。这是一项对两个匹配队列的回顾性分析，共纳入了来自英国国家医疗服务体系（NHS）服务数据集的237名用户。在培训队列中，一个轮椅使用远程监测设备对119名电动轮椅用户的电池使用情况进行了12个月的监测。对电池充电行为不理想的用户进行了适当充电方法的指导。每月使用轮椅驱动和动力时间等轮椅使用参数来预测维修情况及相关成本。培训队列中的119名用户中有54名没有定期给电池充电，他们接受了适当充电的指导。其中26人改变了行为，开始每晚给电池充电。与匹配的标准护理队列（118名用户）相比，该队列的电池维修减少了18%，轮椅维修减少了11%，维修成本降低了3092英镑。用户年龄和驱动时间与维修措施相关。驱动时间可预测轮椅部件的故障时间，通过接收者操作特征曲线下面积将故障风险分类，其值为0.71（95%可信区间为0.61至0.82；P<0.001）。通过利用轮椅使用情况与维修之间的显著关系，可以识别有部件故障风险的轮椅用户，并开发技术人员主导的主动干预维修工具。轮椅电池健康远程监测以及指导用户进行适当的电池充电可减少维修及相关成本。
