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电子实时监测显示疼痛患者对长期阿片类药物处方的依从性有限。

Electronic Real-Time Monitoring Reveals Limited Adherence to Long-Term Opioid Prescriptions in Pain Patients.

作者信息

Houghton David C, Merritt Christina R, Miller Sierra N, Mitchell Jasmine M, Parker David, Hommel Jonathan D, Cunningham Kathryn A, Wilkes Denise M

机构信息

Center for Addiction Sciences and Therapeutics, University of Texas Medical Branch, Galveston, TX, USA.

Department of Psychiatry and Behavioral Sciences, University of Texas Medical Branch, Galveston, TX, USA.

出版信息

J Pain Res. 2024 May 21;17:1815-1827. doi: 10.2147/JPR.S436898. eCollection 2024.

Abstract

BACKGROUND

Pain management physicians are increasingly focused on limiting prescription opioid abuse, yet existing tools for monitoring adherence have limited accuracy. Medication event monitoring system (MEMS) is an emerging technology for tracking medication usage in real-time but has not been tested in chronic pain patients on long-term opioid regimens.

OBJECTIVE

We conducted a pilot clinical trial to investigate the utility of MEMS for monitoring opioid adherence and compared to traditional methods including self-report diaries, urine drug screen (UDS), and physicians' opinions.

METHODS

Opioid-maintained chronic pain patients were recruited from a pain management clinic. Participants (n=28) were randomly assigned to either receive MEMS bottles containing their opioid medication for a 90-day period or to continue using standard medication bottles. MEMS bottles were configured to record and timestamp all bottle openings and the number of pills that were removed from the bottle (via measurement of weight change).

RESULTS

Participants who received MEMS demonstrated highly heterogenous dosing patterns, with a substantial number of patients rapidly removing excessive amounts of medication and/or "stockpiling" medication. By comparison, physicians rated all participants as either "totally compliant" or "mostly compliant". UDS results did not reveal any illicit drug use, but 25% of participants (n=7) tested negative for their prescribed opioid metabolite. MEMS data did not correlate with physician-rated adherence (=0.24) and UDS results (=0.77). MEMS data consistently revealed greater non-adherence than self-report data (<0.001).

CONCLUSION

These results highlight the limits in our understanding of naturalistic patterns of daily opioid use in chronic pain patients as well as support the use of MEMS for detecting potential misuse as compared to routine adherence monitoring methods. Future research directions include the need to determine how MEMS could be used to improve patient outcomes, minimize harm, and aid in clinical decision-making.

TRIAL REGISTRATION

This study was preregistered on ClinicalTrials.gov (NCT03752411).

摘要

背景

疼痛管理医生越来越关注限制处方阿片类药物的滥用,但现有的监测依从性的工具准确性有限。药物事件监测系统(MEMS)是一种用于实时跟踪药物使用情况的新兴技术,但尚未在长期使用阿片类药物治疗方案的慢性疼痛患者中进行测试。

目的

我们进行了一项试点临床试验,以研究MEMS在监测阿片类药物依从性方面的效用,并与包括自我报告日记、尿液药物筛查(UDS)和医生意见在内的传统方法进行比较。

方法

从一家疼痛管理诊所招募阿片类药物维持治疗的慢性疼痛患者。参与者(n = 28)被随机分配,要么在90天内使用装有其阿片类药物的MEMS药瓶,要么继续使用标准药瓶。MEMS药瓶被配置为记录并标记所有药瓶开启情况以及从药瓶中取出的药丸数量(通过测量重量变化)。

结果

使用MEMS的参与者表现出高度异质的给药模式,大量患者迅速取出过量药物和/或“囤积”药物。相比之下,医生将所有参与者评为“完全依从”或“基本依从”。UDS结果未显示任何非法药物使用情况,但25%的参与者(n = 7)其处方阿片类药物代谢物检测呈阴性。MEMS数据与医生评定的依从性(= 0.24)和UDS结果(= 0.77)均无相关性。MEMS数据始终显示出比自我报告数据更高的不依从性(<0.001)。

结论

这些结果凸显了我们对慢性疼痛患者日常阿片类药物使用自然模式理解的局限性,同时也支持与常规依从性监测方法相比,使用MEMS检测潜在滥用情况。未来的研究方向包括需要确定如何使用MEMS来改善患者预后、将危害降至最低并辅助临床决策。

试验注册

本研究已在ClinicalTrials.gov(NCT03752411)上预先注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8846/11127646/03eb5730e160/JPR-17-1815-g0001.jpg

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