Understanding the interaction forces between shield-triggered autoinjectors and skin: an in-depth noninvasive study.

Expert opinion on drug delivery Pub Date : 2024-10-01 Epub Date: 2024-10-04 DOI:10.1080/17425247.2024.2411435
Anne-Sofie Madsen Staples, Hanaa Abuo-Chalih, Dan Nørtoft Sørensen
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Abstract

Objective: This noninvasive study aimed to understand the interaction between shield-triggered autoinjectors (AI) and skin at the point of activation, hypothesizing that the AI's housing absorbs a significant amount of the user-applied force depending on shield design and skin characteristics.

Methods: Twenty-seven volunteers used a test device measuring applied force versus shield force and indentation depth relative to shield length (2,4,6,8 mm) in standing and sitting positions.

Results: Significant differences were found between applied and shield force for the different shield lengths. Shorter shields resulted in significantly lower force transfer coefficients, with means ranging from 0.72 for the 2 mm shield to 0.94 for the 8 mm shield. ANOVA revealed statistically significant factors (p < .05), including position and gender, with females generally having lower coefficient values. Indentation depth increased with higher forces and varied significantly between positions without significant shield length impact.

Conclusion: The findings confirm that an increase in shield length at the point of activation reduces skin friction with the housing, resulting in less force loss and a lower device activation force perceived by the user. Force loss can be further reduced by standing up. Understanding device-tissue interactions will support development of better AIs with fewer user failures.

了解屏蔽触发式自动注射器与皮肤之间的相互作用力:一项深入的无创研究。
研究目的这项无创研究旨在了解屏蔽触发式自动注射器(AI)与皮肤在激活点的相互作用,假设根据屏蔽设计和皮肤特征,AI 的外壳会吸收大量用户施加的力:方法:27 名志愿者使用测试设备,测量站姿和坐姿下的外力与屏蔽力以及相对于屏蔽长度(2、4、6、8 毫米)的压痕深度:结果:不同长度的防护罩在作用力和防护力之间存在显著差异。较短的护板导致力传递系数明显较低,平均值从 2 毫米护板的 0.72 到 8 毫米护板的 0.94 不等。方差分析揭示了具有统计学意义的因素(p 结论):研究结果证实,在启动点增加护罩长度可减少皮肤与外壳的摩擦,从而减少力损失,降低用户感知到的设备启动力。站立可进一步减少力损失。了解设备与组织之间的相互作用将有助于开发更好的人工智能,减少用户失误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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