An analysis of errors, discrepancies, and variation in opioid prescriptions for adult outpatients at a teaching hospital

Author:

Bicket, MD Mark C.,Kattail, MD Deepa,Yaster, MD Myron,Wu, MD Christopher L.,Pronovost, MD, PhD Peter

Abstract

Objective: To determine opioid-prescribing patterns and rate of three types of errors, discrepancies, and variation from ideal practice.Design: Retrospective review of opioid prescriptions processed at an outpatient pharmacy.Setting: Tertiary institutional medical center.Patients: We examined 510 consecutive opioid medication prescriptions for adult patients processed at an institutional outpatient pharmacy in June 2016 for patient, provider, and prescription characteristics.Main Outcome Measure(s): We analyzed prescriptions for deviation from best practice guidelines, lack of two patient identifiers, and noncompliance with Drug Enforcement Agency (DEA) rules.Results: Mean patient age (standard deviation) was 47.5 years (17.4). The most commonly prescribed opioid was oxycodone (71 percent), usually not combined with acetaminophen. Practitioners prescribed tablet formulation to 92 percent of the sample, averaging 57 (47) pills. We identified at least one error on 42 percent of prescriptions. Among all prescriptions, 9 percent deviated from best practice guidelines, 21 percent failed to include two patient identifiers and 41 percent were noncompliant with DEA rules. Errors occurred in 89 percent of handwritten prescriptions, 0 percent of electronic health record (EHR) computer-generated prescriptions, and 12 percent of non-EHR computer-generated prescriptions. Interrater reliability by κ was 0.993.Conclusions: Inconsistencies in opioid prescribing remain common. Handwritten prescriptions continue to demonstrate higher associations of errors, discrepancies, and variation from ideal practice and government regulations. All computer-generated prescriptions adhered to best practice guidelines and contained two patient identifiers, and all EHR prescriptions were fully compliant with DEA rules.

Publisher

Weston Medical Publishing

Subject

Anesthesiology and Pain Medicine,Pharmacology (medical),General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3