Purpose: After a sentinel event related to long-acting (LA) opioid administration at our institution and subsequent root cause analysis, an inpatient LA opioid restriction policy was implemented to improve patient safety. The objectives of this study were to evaluate the effect of an inpatient LA opioid restriction policy on inpatient therapy utilization and to compare rates of naloxone reversal events among patients administered LA opioids before and after policy implementation. Methods: To evaluate the first objective, an electronic medical record report was created to capture all inpatient LA opioid orders prescribed to adults at our institution between March 1, 2014, and July 30, 2017. Utilization was compared before and after policy implementation and use controlled for by patient days. To evaluate the second objective, naloxone administrations were identified via a query of the medical record between March 1, 2014, and July 30, 2017. Naloxone reversal events were independently evaluated by 2 trained reviewers, and a third when discrepancies existed. Rates of naloxone reversal events related to LA opioid administration were compared between the pre- and post-policy phase. Results: The results of our first objective demonstrate that policy implementation was associated with a statistically significant reduction in LA opioid utilization that was sustained throughout the study duration. For our second objective, among the 144 patients deemed to have an opioid-related naloxone reversal event, a LA opioid was administered to 12 patients (18.9%) in the pre-policy phase and 17 patients (15.9%) in the post-policy phase. This difference was not statistically significant (odds ratio [OR] = 1.629, confidence interval [CI] = 0.711-3.732, P = .248). Conclusion: A LA opioid restriction policy significantly reduced LA opioid utilization at our institution. Despite this, we did not find a significant reduction in inpatient naloxone reversals related to LA opioids. Further study is warranted to identify an optimal method to reduce LA opioid-related toxicity.
Purpose: After a sentinel event related to long-acting (LA) opioid administration at our institution and subsequent root cause analysis, an inpatient LA opioid restriction policy was implemented to improve patient safety. The objectives of this study were to evaluate the effect of an inpatient LA opioid restriction policy on inpatient therapy utilization and to compare rates of naloxone reversal events among patients administered LA opioids before and after policy implementation. Methods: To evaluate the first objective, an electronic medical record report was created to capture all inpatient LA opioid orders prescribed to adults at our institution between March 1, 2014, and July 30, 2017. Utilization was compared before and after policy implementation and use controlled for by patient days. To evaluate the second objective, naloxone administrations were identified via a query of the medical record between March 1, 2014, and July 30, 2017. Naloxone reversal events were independently evaluated by 2 trained reviewers, and a third when discrepancies existed. Rates of naloxone reversal events related to LA opioid administration were compared between the pre- and post-policy phase. Results: The results of our first objective demonstrate that policy implementation was associated with a statistically significant reduction in LA opioid utilization that was sustained throughout the study duration. For our second objective, among the 144 patients deemed to have an opioid-related naloxone reversal event, a LA opioid was administered to 12 patients (18.9%) in the pre-policy phase and 17 patients (15.9%) in the post-policy phase. This difference was not statistically significant (odds ratio [OR] = 1.629, confidence interval [CI] = 0.711-3.732, P = .248). Conclusion: A LA opioid restriction policy significantly reduced LA opioid utilization at our institution. Despite this, we did not find a significant reduction in inpatient naloxone reversals related to LA opioids. Further study is warranted to identify an optimal method to reduce LA opioid-related toxicity.
Authors: Irfan A Dhalla; Muhammad M Mamdani; Marco L A Sivilotti; Alex Kopp; Omar Qureshi; David N Juurlink Journal: CMAJ Date: 2009-12-07 Impact factor: 8.262
Authors: Matthew Miller; Catherine W Barber; Sarah Leatherman; Jennifer Fonda; John A Hermos; Kelly Cho; David R Gagnon Journal: JAMA Intern Med Date: 2015-04 Impact factor: 21.873
Authors: D R Long; A L Lihn; S Friedrich; F T Scheffenbichler; K C Safavi; S M Burns; J C Schneider; S D Grabitz; T T Houle; M Eikermann Journal: Br J Anaesth Date: 2018-03-09 Impact factor: 9.166
Authors: Emma C Davies; Christopher F Green; Stephen Taylor; Paula R Williamson; David R Mottram; Munir Pirmohamed Journal: PLoS One Date: 2009-02-11 Impact factor: 3.240