自动警报对普外科手术后出院阿片类药物超量使用的影响。

IF 2.1 4区 医学 Q3 PHARMACOLOGY & PHARMACY
Elsie Rizk, Navjot Kaur, Phuong Y Duong, Ezekiel Fink, Matthew A Wanat, J Douglas Thornton, Min P Kim
{"title":"自动警报对普外科手术后出院阿片类药物超量使用的影响。","authors":"Elsie Rizk, Navjot Kaur, Phuong Y Duong, Ezekiel Fink, Matthew A Wanat, J Douglas Thornton, Min P Kim","doi":"10.1093/ajhp/zxae185","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The objectives of this study were to identify the most performed surgical procedures associated with the highest rates of discharge opioid overprescribing and to implement an electronic health record (EHR) alert to reduce discharge opioid overprescribing.</p><p><strong>Methods: </strong>This quality improvement, before-and-after study included patients undergoing one of the identified target procedures-laparoscopic cholecystectomy, unilateral open inguinal hernia repair, and laparoscopic appendectomy-at an academic medical center. The alert notified providers when the prescribed opioid quantity exceeded guideline recommendations. The preimplementation cohort included surgical encounters from January 2020 to December 2021. The EHR alert was implemented in May 2022 following provider education via email and in-person presentations. The postimplementation cohort included surgical encounters from May to August 2022. The primary outcome was the proportion of patients with a discharge opioid supply exceeding guideline recommendations (overprescribing).</p><p><strong>Results: </strong>A total of 1,478 patients were included in the preimplementation cohort, and 141 patients were included in the postimplementation cohort. The proportion of patients with discharge opioid overprescribing decreased from 48% in the preimplementation cohort to 3% in the postimplementation cohort, with an unadjusted absolute reduction of 45% (95% confidence interval, 41% to 49%; P < 0.001) and an adjusted odds ratio of 0.03 (95% confidence interval, 0.01 to 0.08; P < 0.001). Among patients who received opioids, the mean (SD) opioid supply at discharge decreased from 92 (43) oral morphine milligram equivalents (MME) (before implementation) to 57 (20) MME (after implementation) (P < 0.001). The proportion of patients who received additional opioid prescriptions within 1 to 14 days following hospital discharge did not change (P = 0.76).</p><p><strong>Conclusion: </strong>Implementation of an EHR alert along with provider education can reduce discharge opioid overprescribing following general surgery.</p>","PeriodicalId":7577,"journal":{"name":"American Journal of Health-System Pharmacy","volume":" ","pages":"1288-1296"},"PeriodicalIF":2.1000,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of automated alerts on discharge opioid overprescribing after general surgery.\",\"authors\":\"Elsie Rizk, Navjot Kaur, Phuong Y Duong, Ezekiel Fink, Matthew A Wanat, J Douglas Thornton, Min P Kim\",\"doi\":\"10.1093/ajhp/zxae185\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>The objectives of this study were to identify the most performed surgical procedures associated with the highest rates of discharge opioid overprescribing and to implement an electronic health record (EHR) alert to reduce discharge opioid overprescribing.</p><p><strong>Methods: </strong>This quality improvement, before-and-after study included patients undergoing one of the identified target procedures-laparoscopic cholecystectomy, unilateral open inguinal hernia repair, and laparoscopic appendectomy-at an academic medical center. The alert notified providers when the prescribed opioid quantity exceeded guideline recommendations. The preimplementation cohort included surgical encounters from January 2020 to December 2021. The EHR alert was implemented in May 2022 following provider education via email and in-person presentations. The postimplementation cohort included surgical encounters from May to August 2022. The primary outcome was the proportion of patients with a discharge opioid supply exceeding guideline recommendations (overprescribing).</p><p><strong>Results: </strong>A total of 1,478 patients were included in the preimplementation cohort, and 141 patients were included in the postimplementation cohort. The proportion of patients with discharge opioid overprescribing decreased from 48% in the preimplementation cohort to 3% in the postimplementation cohort, with an unadjusted absolute reduction of 45% (95% confidence interval, 41% to 49%; P < 0.001) and an adjusted odds ratio of 0.03 (95% confidence interval, 0.01 to 0.08; P < 0.001). Among patients who received opioids, the mean (SD) opioid supply at discharge decreased from 92 (43) oral morphine milligram equivalents (MME) (before implementation) to 57 (20) MME (after implementation) (P < 0.001). The proportion of patients who received additional opioid prescriptions within 1 to 14 days following hospital discharge did not change (P = 0.76).</p><p><strong>Conclusion: </strong>Implementation of an EHR alert along with provider education can reduce discharge opioid overprescribing following general surgery.</p>\",\"PeriodicalId\":7577,\"journal\":{\"name\":\"American Journal of Health-System Pharmacy\",\"volume\":\" \",\"pages\":\"1288-1296\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Health-System Pharmacy\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/ajhp/zxae185\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Health-System Pharmacy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/ajhp/zxae185","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0

摘要

免责声明:为了加快文章的出版速度,AJHP在接受稿件后会尽快在网上发布。被录用的稿件已经过同行评审和校对,但在进行技术格式化和作者校对之前会在网上发布。目的:本研究的目的是确定与出院时阿片类药物过量使用率最高相关的最常见外科手术,并实施电子病历(EHR)提醒以减少出院时阿片类药物过量使用:这项质量改进前后对比研究包括在一家学术医疗中心接受已确定的目标手术之一--腹腔镜胆囊切除术、单侧开放式腹股沟疝修补术和腹腔镜阑尾切除术的患者。当阿片类药物的处方量超过指南建议时,警报会通知医疗服务提供者。实施前的队列包括 2020 年 1 月至 2021 年 12 月的手术病例。通过电子邮件和现场演示对医疗服务提供者进行教育后,于 2022 年 5 月实施了电子病历警报。实施后的队列包括 2022 年 5 月至 8 月的手术例数。主要结果是出院时阿片类药物供应量超过指南建议(超量用药)的患者比例:结果:共有 1,478 名患者被纳入实施前队列,141 名患者被纳入实施后队列。出院时阿片类药物超量使用率从实施前队列中的 48% 降至实施后队列中的 3%,未调整绝对值降低了 45%(95% 置信区间为 41% 至 49%;P < 0.001),调整后的几率比为 0.03(95% 置信区间为 0.01 至 0.08;P < 0.001)。在接受阿片类药物治疗的患者中,出院时阿片类药物的平均(标度)供应量从 92(43)口服吗啡毫克当量(MME)(实施前)降至 57(20)MME(实施后)(P < 0.001)。出院后 1 至 14 天内接受阿片类药物额外处方的患者比例没有变化(P = 0.76):结论:实施电子病历提醒并对医护人员进行教育可减少普外科手术后阿片类药物的出院超量使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of automated alerts on discharge opioid overprescribing after general surgery.

Purpose: The objectives of this study were to identify the most performed surgical procedures associated with the highest rates of discharge opioid overprescribing and to implement an electronic health record (EHR) alert to reduce discharge opioid overprescribing.

Methods: This quality improvement, before-and-after study included patients undergoing one of the identified target procedures-laparoscopic cholecystectomy, unilateral open inguinal hernia repair, and laparoscopic appendectomy-at an academic medical center. The alert notified providers when the prescribed opioid quantity exceeded guideline recommendations. The preimplementation cohort included surgical encounters from January 2020 to December 2021. The EHR alert was implemented in May 2022 following provider education via email and in-person presentations. The postimplementation cohort included surgical encounters from May to August 2022. The primary outcome was the proportion of patients with a discharge opioid supply exceeding guideline recommendations (overprescribing).

Results: A total of 1,478 patients were included in the preimplementation cohort, and 141 patients were included in the postimplementation cohort. The proportion of patients with discharge opioid overprescribing decreased from 48% in the preimplementation cohort to 3% in the postimplementation cohort, with an unadjusted absolute reduction of 45% (95% confidence interval, 41% to 49%; P < 0.001) and an adjusted odds ratio of 0.03 (95% confidence interval, 0.01 to 0.08; P < 0.001). Among patients who received opioids, the mean (SD) opioid supply at discharge decreased from 92 (43) oral morphine milligram equivalents (MME) (before implementation) to 57 (20) MME (after implementation) (P < 0.001). The proportion of patients who received additional opioid prescriptions within 1 to 14 days following hospital discharge did not change (P = 0.76).

Conclusion: Implementation of an EHR alert along with provider education can reduce discharge opioid overprescribing following general surgery.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.90
自引率
18.50%
发文量
341
审稿时长
3-8 weeks
期刊介绍: The American Journal of Health-System Pharmacy (AJHP) is the official publication of the American Society of Health-System Pharmacists (ASHP). It publishes peer-reviewed scientific papers on contemporary drug therapy and pharmacy practice innovations in hospitals and health systems. With a circulation of more than 43,000, AJHP is the most widely recognized and respected clinical pharmacy journal in the world.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信