Chapman Brittany P, Lucey Evan, Boyer Edward W, Babu Kavita M, Smelson David, Carreiro Stephanie
Department of Emergency Medicine, Division of Medical Toxicology, Tox(IN)novation Lab, UMass Chan Medical School, Worcester, MA, United States.
Department of Emergency Medicine, The Ohio State University, Columbus, OH, United States.
Front Digit Health. 2022 Oct 21;4:969642. doi: 10.3389/fdgth.2022.969642. eCollection 2022.
Prescription opioid use is a risk factor for the development of opioid use disorder. Digital solutions, including wearable sensors, represent a promising opportunity for health monitoring, risk stratification and harm reduction in this treatment space. However, data on their usability and acceptability in individuals using opioids is limited. To address this gap, factors that impact usability and acceptability of wearable sensor-based opioid detection were qualitatively studied in participants enrolled in a wearable sensor-based opioid monitoring research study. At the conclusion of the monitoring period, participants were invited to take part in semi-structured interviews developed based on the technology acceptance model. Thematic analysis was conducted first using deductive, then inductive coding strategies. Forty-four participants completed the interview; approximately half were female. Major emergent themes include sensor usability, change in behavior and thought process related to sensor use, perceived usefulness in sensor-based monitoring, and willingness to have opioid use patterns monitored. Overall acceptance for sensor-based monitoring was high. Aesthetics, simplicity, and seamless functioning were all reported as key to usability. Perceived behavior changes related to monitoring were infrequent while perceived usefulness in monitoring was frequently projected onto others, requiring careful consideration regarding intervention development and targeting. Specifically, care must be taken to avoid stigma associated with opioid use and implied misuse. The design of sensor systems targeted for opioid use must also consider the physical, social, and cognitive alterations inherent in the respective disease processes compared to routine daily life.
使用处方阿片类药物是阿片类药物使用障碍发展的一个风险因素。包括可穿戴传感器在内的数字解决方案，为这一治疗领域的健康监测、风险分层和减少伤害提供了一个有前景的机会。然而，关于它们在使用阿片类药物的个体中的可用性和可接受性的数据有限。为了填补这一空白，在一项基于可穿戴传感器的阿片类药物监测研究的参与者中，对影响基于可穿戴传感器的阿片类药物检测的可用性和可接受性的因素进行了定性研究。在监测期结束时，邀请参与者参加基于技术接受模型开发的半结构化访谈。首先使用演绎编码策略，然后使用归纳编码策略进行主题分析。44名参与者完成了访谈；大约一半为女性。主要出现的主题包括传感器的可用性、与传感器使用相关的行为和思维过程的变化、基于传感器监测的感知有用性以及对监测阿片类药物使用模式的意愿。对基于传感器监测的总体接受度很高。美学、简单性和无缝功能都被报告为可用性的关键。与监测相关的感知行为变化很少，而在监测中的感知有用性经常被投射到其他人身上，这在干预开发和目标设定方面需要仔细考虑。具体而言，必须注意避免与阿片类药物使用相关的污名以及暗示的滥用。与日常生活相比，针对阿片类药物使用的传感器系统设计还必须考虑各自疾病过程中固有的身体、社会和认知改变。
