Evidence map›Paper›PMID 38833500›Full record

ArticlePloS one2024

The persistent benefits of decreasing default pill counts for postoperative narcotic prescriptions.

Nathan Coppersmith, Joshua Sznol, Andrew Esposito, Emily Flom, Alexander Chiu, Peter Yoo

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

6 authors.

Nathan CoppersmithDepartment of Surgery, Yale School of Medicine, New Haven, Connecticut, United States of America.ORCID 0000-0001-9616-3063
Joshua SznolDepartment of Surgery, Yale School of Medicine, New Haven, Connecticut, United States of America.ORCID 0000-0003-3794-4606
Andrew EspositoDepartment of Surgery, Yale School of Medicine, New Haven, Connecticut, United States of America.
Emily FlomDepartment of Surgery, Yale School of Medicine, New Haven, Connecticut, United States of America.
Alexander ChiuDepartment of Surgery, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Peter YooAcademic Affairs, Hartford Healthcare, Hartford, Connecticut, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2017, a university-based academic healthcare system changed the opioid default pill count from 30 to 12 pills. Modifying the electronic default pill count influences short-term clinician prescribing practices. We sought to understand the long-term impact on postoperative opioid prescribing habits after an opioid default pill count reduction. MATERIALS AND

methodsA retrospective electronic medical record system (EMRS) review was conducted in a healthcare system comprised of seven affiliated hospitals. Patients who underwent a surgical procedure and were prescribed an opioid on discharge between 2017-2021 were evaluated. All prescriptions were converted into morphine equivalents (MME). Analyses were performed with the chi-square test and Bonferonni adjusted t-test.

results191,379 surgical procedures were studied. The average quantity of opioids prescribed decreased from 32 oxycodone 5 mg tablets in 2017 to 21 oxycodone 5 mg tablets in 2021 (236 MME to 154 MME, p<0.001). The percentage of patients obtaining a refill within 90 days of surgery varied between 18.3% and 19.9% (p<0.001). Patients with a pre-existing opioid prescription and opioid-naïve patients both had significant reductions in prescription quantities above the default MME (79.7% to 60.6% vs. 65.3% to 36.9%, p<0.001). There was no significant change in refills for both groups (pre-existing 36.7% to 38.3% (p = 0.1) vs naïve 15.0% to 15.3% (p = 0.29)).

conclusionsThe benefits of decreasing the default opioid pill count continue to accumulate long after the original change. Physician uptake of small changes to default EMRS practices represents a sustainable and effective intervention to reduce the quantities of postoperative opioids prescribed without deleterious effects on outpatient opiate requirements.

Indexed as

Analgesics, OpioidDrug PrescriptionsPostoperative PainPractice Patterns, Physicians'AdultAgedElectronic Health RecordsFemaleHumansMaleMiddle AgedOxycodoneRetrospective StudiesAnalgesics, OpioidOxycodone

Identifiers

PMID38833500
PMCPMC11149874

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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.