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Voice Assistant Reminders and the Latency of Scheduled Medication Use in Older Adults With Pain: Descriptive Feasibility Study

机译:语音助理提醒和预定药物在老年人疼痛中使用的延迟:描述性可行性研究

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Background Pain is difficult to manage in older adults. It has been recommended that pain management in older adults should include both nonpharmacologic and pharmacologic strategies. Unfortunately, nonadherence to pain medication is more prevalent than nonadherence to any other chronic disease treatment. Technology-based reminders have some benefit for medication adherence, but adherence behavior outcomes have mostly been verified by self-reports. Objective We aimed to describe objective medication adherence and the latency of medication use after a voice assistant reminder prompted participants to take pain medications for chronic pain. Methods A total of 15 older adults created a voice assistant reminder for taking scheduled pain medications. A subsample of 5 participants were randomly selected to participate in a feasibility study, in which a medication event monitoring system for pain medications was used to validate medication adherence as a health outcome. Data on the subsample’s self-assessed pain intensity, pain interference, concerns and necessity beliefs about pain medications, self-confidence in managing pain, and medication implementation adherence were analyzed. Results In the 5 participants who used the medication event monitoring system, the overall latency between voice assistant reminder deployment and the medication event (ie, medication bottle cap opening) was 55 minutes. The absolute latency (before or after the reminder) varied among the participants. The shortest average time taken to open the cap after the reminder was 17 minutes, and the longest was 4.5 hours. Of the 168 voice assistant reminders for scheduled pain medications, 25 (14.6%) resulted in the opening of MEMS caps within 5 minutes of the reminder, and 107 (63.7%) resulted in the opening of MEMS caps within 30 minutes of the reminder. Conclusions Voice assistant reminders may help cue patients to take scheduled medications, but the timing of medication use may vary. The timing of medication use may influence treatment effectiveness. Tracking the absolute latency time of medication use may be a helpful method for assessing medication adherence. Medication event monitoring may provide additional insight into medication implementation adherence during the implementation of mobile health interventions.
机译:老年人难以管理背景痛苦。我们建议老年人的疼痛管理应包括非武装和药理学策略。不幸的是,止痛药比任何其他慢性疾病治疗更为普遍。基于技术的提醒对药物遵守有一些好处,但依从性行为结果主要通过自我报告验证。目的旨在描述语音助理提醒后促使参与者服用慢性疼痛止痛药后的客观用药依从性和药物潜伏期。方法共15名老年人创造了一种语音助理提醒,用于服用预定的止痛药。随机选择5名参与者的子样本参与可行性研究,其中用于止痛药的药物事件监测系统用于将药物遵守作为健康结果。分析了关于止痛药的止痛药,疼痛干扰,担忧和必要性的数据的数据,分析了管理疼痛的自信心,以及药物实施依从性。结果在使用药物事件监测系统的5位参与者中,语音助手提醒部署与药物事件(即药物瓶盖开口)之间的总延迟为55分钟。参与者之间的绝对延迟(在提醒之前或之后)。在提醒后打开帽子的最短平均时间为17分钟,最长为4.5小时。对于预定止痛药的168名语音助理提醒,25%(14.6%)导致提醒的5分钟内的MEMS帽,107(63.7%)导致提醒30分钟内的MEMS帽开口。结论语音助理提醒可能有助于提示患者服用预定药物,但药物使用的时序可能会有所不同。药物使用的时间可能会影响治疗效果。跟踪药物使用的绝对潜伏时间可能是评估药物依从性的有用方法。药物事件监测可以在实施移动健康干预期间提供额外的洞察药物实施遵守。

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