University of Groningen, University Medical Center Groningen, Department of Rehabilitation Medicine, 9700 RB, Groningen, The Netherlands.
J Rehabil Med. 2018 Nov 7;50(10):920-926. doi: 10.2340/16501977-2494.
Adherence is a prerequisite for the effectiveness of orthopaedic footwear. The aim of this study is to assess the validity of a new temperature sensor for objective assessment of footwear use and non-use.
Observational study.
The validity of a temperature sensor (Orthotimer, Balingen, Germany) to discriminate between time periods of use and non-use of footwear over a period of 48 h was assessed using 3 algorithms, in 10 healthy participants (mean age 32.8 years (standard deviation (SD) 14.1 years)). Footwear use measured with the sensor was compared with a reference standard, footwear use measured with a time-lapse sports camera secured to the shoe.
Hours of footwear use.
Mean footwear use measured with the camera was 8.10 (SD 2.46) h per day. Mean footwear uses measured with the sensor and calculated with the 3 algorithms were 8.16 (SD 2.37), 8.86 (SD 2.48) and 4.91 (SD 3.17) h per day for the Groningen algorithm, algorithm-25, and algorithm-29, respectively. The correlation between footwear use assessed with the camera and with the sensor was: rGroningen = 0.995, ralg25 = 0.919 and ralg29 = 0.680).
The temperature sensor is a valid instrument to measure footwear use and non-use when using the Groningen algorithm.
矫形鞋的疗效取决于其使用的依从性。本研究旨在评估一种新型温度传感器评估矫形鞋使用和不使用的客观指标的有效性。
观察性研究。
使用 3 种算法，在 10 名健康参与者（平均年龄 32.8 岁（标准差 14.1 岁））中评估了温度传感器（德国巴灵根的 Orthotimer）区分鞋类使用和不使用的时间段的有效性。使用传感器测量的鞋类使用情况与参考标准（固定在鞋上的延时运动摄像机测量的鞋类使用情况）进行了比较。
鞋类使用时间。
使用摄像机测量的平均鞋类使用时间为每天 8.10（标准差 2.46）小时。使用 3 种算法计算的传感器测量的平均鞋类使用时间分别为 8.16（标准差 2.37）、8.86（标准差 2.48）和 4.91（标准差 3.17）小时，Groningen 算法、alg25 算法和 alg29 算法。使用摄像机和传感器评估鞋类使用情况之间的相关性为：rGroningen=0.995，ralg25=0.919，ralg29=0.680。
当使用 Groningen 算法时，温度传感器是测量鞋类使用和不使用的有效工具。
