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评估 ERAS 路径中的分层阿片类药物处方算法:探索进一步完善的机会。

Evaluation of a tiered opioid prescription algorithm in an ERAS pathway: exploring opportunities for further refinement.

机构信息

Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

出版信息

Int J Gynecol Cancer. 2024 Feb 5;34(2):251-259. doi: 10.1136/ijgc-2023-004948.

Abstract

BACKGROUND

Opioid over-prescription is wasteful and contributes to the opioid crisis. We implemented a personalized tiered discharge opioid protocol and education on opioid disposal to minimize over-prescription.

OBJECTIVE

To evaluate the intervention by investigating opioid use post-discharge for women undergoing abdomino-pelvic surgery, and patient adherence to opioid disposal education.

METHODS

We analyzed post-discharge opioid consumption among 558 patients. Eligible patients included those who underwent elective gynecologic surgery, were not taking scheduled opioids pre-operatively, and received discharge opioids according to a tiered prescribing algorithm. A survey assessing discharge opioid consumption and disposal safety knowledge was distributed on post-discharge day 21. Over-prescription was defined as >20% of the original prescription left over. Descriptive statistics were used for analysis.

RESULTS

The survey response rate was 61% and 59% in the minimally invasive surgery and open surgery cohorts, respectively. Overall, 42.8% of patients reported using no opioids after hospital discharge, 45.2% in the minimally invasive surgery and 38.6% in the open surgery cohort. Furthermore, 74.9% of respondents were over-prescribed, with median age being statistically significant for this group (p=0.004). Finally, 46.4% of respondents expressed no knowledge regarding safe disposal practices, with no statistically significant difference between groups (p>0.99).

CONCLUSION

Despite implementation of the tiered discharge opioid algorithm aimed to personalize opioid prescriptions to estimated need, we still over-prescribed opioids. Additionally, despite targeted education, nearly half of all patients who completed the survey did not know how to dispose of their opioid tablets. Additional efforts are needed to further refine the algorithm to reduce over-prescription of opioids and improve disposal education.

摘要

背景

阿片类药物过度处方既浪费又导致阿片类药物危机。我们实施了个性化分级出院阿片类药物方案和阿片类药物处置教育,以尽量减少过度处方。

目的

通过调查接受腹盆部手术的女性出院后阿片类药物的使用情况以及患者对阿片类药物处置教育的依从性,评估该干预措施。

方法

我们分析了 558 名患者的出院后阿片类药物消耗情况。合格的患者包括接受择期妇科手术、术前未服用计划内阿片类药物且根据分级处方算法接受出院阿片类药物的患者。在出院后第 21 天,我们分发了一份评估出院阿片类药物消耗和处置安全知识的调查问卷。过量处方定义为剩余原始处方的>20%。使用描述性统计进行分析。

结果

调查的回复率分别为微创手术组和开放手术组的 61%和 59%。总体而言,42.8%的患者在出院后不再使用阿片类药物,微创手术组为 45.2%,开放手术组为 38.6%。此外,74.9%的受访者处方过量,这一组的中位数年龄具有统计学意义(p=0.004)。最后,46.4%的受访者表示对安全处置做法一无所知,两组之间没有统计学差异(p>0.99)。

结论

尽管实施了旨在根据估计需求个性化阿片类药物处方的分级出院阿片类药物方案,但我们仍过度处方阿片类药物。此外,尽管进行了有针对性的教育,但完成调查的近一半患者不知道如何处理他们的阿片类药物片剂。需要进一步努力进一步完善算法,以减少阿片类药物的过度处方并改善处置教育。

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