Xiao Xiao, Li Wei, Clawson Corbin, Karvani David, Sondag Perceval, Hahn James K
Department of Computer Science, The George Washington University, Washington, DC.
MedImmune, LLC, Gaithersburg, MD.
Patient Prefer Adherence. 2018 Apr 9;12:515-526. doi: 10.2147/PPA.S160394. eCollection 2018.
The study aimed to develop a motion capture system that can track, visualize, and analyze the entire performance of self-injection with the auto-injector.
Each of nine healthy subjects and 29 rheumatoid arthritic (RA) patients with different degrees of hand disability performed two simulated injections into an injection pad while six degrees of freedom (DOF) motions of the auto-injector and the injection pad were captured. We quantitatively measured the performance of the injection by calculating needle displacement from the motion trajectories. The max, mean, and SD of needle displacement were analyzed. Assessments of device acceptance and usability were evaluated by a survey questionnaire and independent observations of compliance with the device instruction for use (IFU).
A total of 80 simulated injections were performed. Our results showed a similar level of performance among all the subjects with slightly larger, but not statistically significant, needle displacement in the RA group. In particular, no significant effects regarding previous experience in self-injection, grip method, pain in hand, and Cochin score in the RA group were found to have an impact on the mean needle displacement. Moreover, the analysis of needle displacement for different durations of injections indicated that most of the subjects reached their personal maximum displacement in 15 seconds and remained steady or exhibited a small amount of increase from 15 to 60 seconds. Device acceptance was high for most of the questions (ie, >4; >80%) based on a 0-5-point scale or percentage of acceptance. The overall compliance with the device IFU was high for the first injection (96.05%) and reached 98.02% for the second injection.
We demonstrated the feasibility of tracking the motions of injection to measure the performance of simulated self-injection. The comparisons of needle displacement showed that even RA patients with severe hand disability could properly perform self-injection with this auto-injector at a similar level with the healthy subjects. Finally, the observed high device acceptance and compliance with device IFU suggest that the system is convenient and easy to use.
本研究旨在开发一种运动捕捉系统,该系统能够跟踪、可视化并分析自动注射器自我注射的全过程。
9名健康受试者和29名不同程度手部残疾的类风湿性关节炎(RA)患者,每人向一个注射垫进行两次模拟注射,同时捕捉自动注射器和注射垫的六自由度(DOF)运动。我们通过计算运动轨迹中的针头位移来定量测量注射性能。分析了针头位移的最大值、平均值和标准差。通过调查问卷以及对设备使用说明(IFU)遵守情况的独立观察,评估了设备的可接受性和可用性。
共进行了80次模拟注射。我们的结果显示,所有受试者的注射性能水平相似,RA组的针头位移略大,但无统计学意义。特别是,未发现RA组中自我注射的既往经验、握持方法、手部疼痛和科钦评分对平均针头位移有显著影响。此外,对不同注射持续时间的针头位移分析表明,大多数受试者在15秒内达到个人最大位移,并在15至60秒内保持稳定或略有增加。基于0 - 5分制或接受百分比,大多数问题的设备接受度较高(即>4;>80%)。首次注射时对设备IFU的总体遵守率较高(96.05%),第二次注射时达到98.02%。
我们证明了跟踪注射动作以测量模拟自我注射性能的可行性。针头位移的比较表明,即使是严重手部残疾的RA患者,使用这种自动注射器也能与健康受试者以相似水平正确进行自我注射。最后,观察到的高设备接受度和对设备IFU的遵守情况表明该系统方便易用。