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评估一种新的个体化阿片类药物处方度量标准用于住院后的患者。

Evaluation of a novel metric for personalized opioid prescribing after hospitalization.

机构信息

Department of Medicine, University of California, San Francisco, San Francisco, California, United States of America.

出版信息

PLoS One. 2020 Dec 31;15(12):e0244735. doi: 10.1371/journal.pone.0244735. eCollection 2020.

Abstract

BACKGROUND

The duration of an opioid prescribed at hospital discharge does not intrinsically account for opioid needs during a hospitalization. This discrepancy may lead to patients receiving much larger supplies of opioids on discharge than they truly require.

OBJECTIVE

Assess a novel discharge opioid supply metric that adjusts for opioid use during hospitalization, compared to the conventional discharge prescription signature.

DESIGN, SETTING, & PARTICIPANTS: Retrospective study using electronic health record data from June 2012 to November 2018 of adults who received opioids while hospitalized and after discharge from a single academic medical center.

MEASURES & ANALYSIS: We ascertained inpatient opioids received and milligrams of opioids supplied after discharge, then determined days of opioids supplied after discharge by the conventional prescription signature opioid-days ("conventional days") and novel hospital-adjusted opioid-days ("adjusted days") metrics. We calculated descriptive statistics, within-subject difference between measurements, and fold difference between measures. We used multiple linear regression to determine patient-level predictors associated with high difference in days prescribed between measures.

RESULTS

The adjusted days metric demonstrates a 2.4 day median increase in prescription duration as compared to the conventional days metric (9.4 vs. 7.0 days; P<0.001). 95% of all adjusted days measurements fall within a 0.19 to 6.90-fold difference as compared to conventional days measurements, with a maximum absolute difference of 640 days. Receiving a liquid opioid prescription accounted for an increased prescription duration of 135.6% by the adjusted days metric (95% CI 39.1-299.0%; P = 0.001). Of patients who were not on opioids prior to admission and required opioids during hospitalization but not in the last 24 hours, 325 (8.6%) were discharged with an opioid prescription.

CONCLUSIONS

The adjusted days metric, based on inpatient opioid use, demonstrates that patients are often prescribed a supply lasting longer than the prescription signature suggests, though with marked variability for some patients that suggests potential under-prescribing as well. Adjusted days is more patient-centered, reflecting the reality of how patients will take their prescription rather than providers' intended prescription duration.

摘要

背景

在出院时开具的阿片类药物的持续时间并不能内在地反映住院期间的阿片类药物需求。这种差异可能导致患者在出院时收到的阿片类药物供应量远远超过他们真正需要的量。

目的

评估一种新的出院阿片类药物供应指标,该指标考虑了住院期间的阿片类药物使用情况,与传统的出院处方签名相比。

设计、地点和参与者:这是一项使用 2012 年 6 月至 2018 年 11 月期间从一家学术医疗中心住院和出院的成年人的电子健康记录数据进行的回顾性研究。

措施和分析

我们确定了住院期间和出院后收到的阿片类药物以及出院后供应的阿片类药物的毫克数,然后根据传统处方签名的阿片类药物天数(“常规天数”)和新的医院调整的阿片类药物天数(“调整天数”)指标确定出院后供应的阿片类药物天数。我们计算了描述性统计数据、测量值之间的个体内差异以及测量值之间的折叠差异。我们使用多元线性回归来确定与两种测量方法之间规定的天数差异相关的患者水平预测因素。

结果

与常规天数指标相比,调整天数指标显示处方持续时间中位数增加了 2.4 天(9.4 天与 7.0 天;P<0.001)。所有调整天数测量值中有 95%落在常规天数测量值的 0.19 至 6.90 倍范围内,最大绝对差异为 640 天。接受液体阿片类药物处方的患者,根据调整天数指标,处方持续时间增加了 135.6%(95%置信区间 39.1-299.0%;P=0.001)。在入院前未服用阿片类药物且在住院期间需要但不在最后 24 小时内需要阿片类药物的患者中,有 325 名(8.6%)出院时开具了阿片类药物处方。

结论

基于住院期间阿片类药物使用情况的调整天数指标表明,患者通常被开处的药物供应持续时间超过处方签名所建议的时间,但对于一些患者来说,这种差异非常大,这表明可能存在处方不足的情况。调整天数更以患者为中心,反映了患者实际服用处方的情况,而不是提供者预期的处方持续时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8d2/7774844/b1a3dc7fce75/pone.0244735.g001.jpg

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