Assessment of a Naloxone Coprescribing Alert for Patients at Risk of Opioid Overdose: A Quality Improvement Project

被引:9
作者
Nelson, Scott D. [1 ]
McCoy, Allison B. [1 ]
Rector, Hayley [2 ]
Teare, Andrew J. [3 ]
Barrett, Tyler W. [4 ]
Sigworth, Elizabeth A. [5 ]
Chen, Qingxia [5 ]
Edwards, David A. [6 ]
Marcovitz, David E. [7 ]
Wright, Adam [1 ]
机构
[1] Vanderbilt Univ, Med Ctr, Dept Biomed Informat, 2525 West End Ave 1475, Nashville, TN 37203 USA
[2] Vanderbilt Univ, Med Ctr, Dept Pharm, Nashville, TN 37203 USA
[3] Vanderbilt Univ, Med Ctr, Dept HealthIT, Nashville, TN 37203 USA
[4] Vanderbilt Univ, Med Ctr, Dept Emergency Med, Nashville, TN 37203 USA
[5] Vanderbilt Univ, Dept Biostat, Nashville, TN 37203 USA
[6] Vanderbilt Univ, Med Ctr, Dept Anesthesiol, Div Pain Med Anesthesiol & Neurol Surg, Nashville, TN 37203 USA
[7] Vanderbilt Univ, Med Ctr, Dept Psychiat & Behav Sci, Nashville, TN 37203 USA
基金
美国国家卫生研究院;
关键词
UNITED-STATES; PAIN RELIEVERS; NONADHERENCE; MEDICATION; AGE;
D O I
10.1213/ANE.0000000000005976
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
BACKGROUND: Patients taking high doses of opioids, or taking opioids in combination with other central nervous system depressants, are at increased risk of opioid overdose. Coprescribing the opioid-reversal agent naloxone is an essential safety measure, recommended by the surgeon general, but the rate of naloxone coprescribing is low. Therefore, we set out to determine whether a targeted clinical decision support alert could increase the rate of naloxone coprescribing. METHODS: We conducted a before-after study from January 2019 to April 2021 at a large academic health system in the Southeast. We developed a targeted point of care decision support notification in the electronic health record to suggest ordering naloxone for patients who have a high risk of opioid overdose based on a high morphine equivalent daily dose (MEDD) >= 90 mg, concomitant benzodiazepine prescription, or a history of opioid use disorder or opioid overdose. We measured the rate of outpatient naloxone prescribing as our primary measure. A multivariable logistic regression model with robust variance to adjust for prescriptions within the same prescriber was implemented to estimate the association between alerts and naloxone coprescribing. RESULTS: The baseline naloxone coprescribing rate in 2019 was 0.28 (95% confidence interval [CI], 0.24-0.31) naloxone prescriptions per 100 opioid prescriptions. After alert implementation, the naloxone coprescribing rate increased to 4.51 (95% CI, 4.33-4.68) naloxone prescriptions per 100 opioid prescriptions (P<.001). The adjusted odds of naloxone coprescribing after alert implementation were approximately 28 times those during the baseline period (95% CI, 15-52). CONCLUSIONS: A targeted decision support alert for patients at risk for opioid overdose significantly increased the rate of naloxone coprescribing and was relatively easy to build.
引用
收藏
页码:26 / 34
页数:9
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