Evidence map›Paper›PMID 38946099›Full record

ArticleAmerican journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists2024

Impact of automated alerts on discharge opioid overprescribing after general surgery.

Elsie Rizk, Navjot Kaur, Phuong Y Duong, Ezekiel Fink, Matthew A Wanat, J Douglas Thornton, Min P Kim

Abstract read
In one paragraph

Article in American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Elsie RizkDepartments of Pharmacy and Surgery, Houston Methodist Hospital, Houston, TX.
Navjot KaurDepartments of Pharmacy and Surgery, Houston Methodist Hospital, Houston, TX.
Phuong Y DuongDepartments of Pharmacy and Surgery, Houston Methodist Hospital, Houston, TX.
Ezekiel FinkDepartment of Neurology, Houston Methodist Hospital, Houston, TX, USA.
Matthew A WanatDepartments of Pharmacy, Houston Methodist Hospital, Houston, TX.
J Douglas ThorntonPrescription Drug Misuse Education and Research Center, College of Pharmacy, University of Houston, Houston, TX, USA.
Min P KimDepartment of Surgery, Houston Methodist Hospital, Houston, TX.

Funding

SAMHSA HHS H79 TI083288
6 · The paper itself

Abstract

purposeThe 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.

methodsThis 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).

resultsA 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).

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

Indexed as

Analgesics, OpioidElectronic Health RecordsPatient DischargePostoperative PainAdultAgedCohort StudiesFemaleHumansInappropriate PrescribingMaleMiddle AgedPractice Patterns, Physicians'Quality ImprovementAnalgesics, Opioidbest-practice alertsclinical decision supportdischarge opioid prescriptionselectronic health recordgeneral surgerypain management

Identifiers

PMID38946099
PMCPMC13368807

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.