Evidence map›Paper›PMID 42166796›Full record

ArticleAnesthesiology2026

Clinical Decision Support to Reduce Opioid Prescribing at Discharge for Inpatients Undergoing Surgery (LESS Study): An Interrupted Time Series Analysis.

Megan L Rolfzen, Kristin Daniel, Karan Shah, Craig G Reha, Edward J Mascha, Matt Muellner, Mark C Bicket, Chad M Brummett, Jennifer F Waljee, Grace E Majeres and 3 more

Abstract read
In one paragraph

Article in Anesthesiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

13 authors.

Megan L RolfzenDepartment of Anesthesiology and Department of Psychiatry, University of Michigan, Ann Arbor, Michigan.
Kristin DanielDepartment of Pharmaceutical and Nutritional Care, Nebraska Medicine, Omaha, Nebraska.
Karan ShahDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio.
Craig G RehaDepartment of Pharmaceutical and Nutritional Care, Nebraska Medicine, Omaha, Nebraska.
Edward J MaschaDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio.
Matt MuellnerDepartment of Anesthesiology, University of Nebraska Medical Center, Omaha, Nebraska.
Mark C BicketDepartment of Anesthesiology, and Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan.
Chad M BrummettDepartment of Anesthesiology, and Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan.
Jennifer F WaljeeDivision of Plastic and Reconstructive Surgery, Department of Surgery, Indiana University, Bloomington, Indiana.
Grace E MajeresDepartment of Pharmaceutical and Nutritional Care, Nebraska Medicine, Omaha, Nebraska.
Stephan G FrangakisDepartment of Anesthesiology, University of Michigan, Ann Arbor, Michigan.
Amy S BohnertDepartment of Anesthesiology, Institute for Healthcare Policy and Innovation, and Department of Psychiatry, Medical School, University of Michigan, Ann Arbor, Michigan; and Center for Clinical Management Research, VA Ann Arbor Heathcare System, Ann Arbor, Michigan.
Karsten BartelsDepartment of Anesthesiology, Institute for Healthcare Policy and Innovation, and Department of Psychiatry, Medical School, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0003-2028-4664

Funding

Leveraging Alcohol Use Disorder Screening for Treatment in Routine Perioperative Care: AllUsCareR34AA031020 · NIAAA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Karsten Bartels, Anne Christie Fernandez · 2024 to 2026
$759k
AHRQ HHS R01 HS027795NIAAA NIH HHS R34 AA031020
6 · The paper itself

Abstract

backgroundUnnecessary opioid prescribing after surgery is wasteful and expands the reservoir for nonmedical use, thereby contributing to preventable morbidity and mortality. The authors used an interrupted time series design to evaluate whether implementing a systemwide clinical decision support intervention reduced opioid prescribing at discharge.

methodsThe authors included adult surgical patients hospitalized for at least 24 h who had not received any opioids in the 24 h before discharge, as prescriptions in this cohort are more likely to represent unnecessary opioid prescribing. The pre- and postintervention 2-yr periods were February 13, 2021, to February 12, 2023, and February 13, 2023, to February 12, 2025, respectively. The primary outcome was discharge oxycodone in morphine milligram equivalents (MME). Secondary outcomes included whether any opioids were prescribed, and if so, how much. Segmented regression models adjusted for confounders were used to assess the immediate and trend-level effects of the intervention.

resultsAnalyzed data included 10,422 pre- and 11,795 postintervention discharges. Total oxycodone prescribed per discharge was 27.4 MME before intervention and 16.5 MME after intervention. Oxycodone MME prescribed at discharge was significantly lower after intervention, with a ratio of geometric means of 0.83 (95% CI, 0.76 to 0.90; one-tailed superiority, P < 0.001) for the level change but no difference in slopes ( P = 0.919). For secondary outcomes, 21% of discharges were prescribed any oxycodone before intervention versus 18% after intervention, with a relative risk of 0.87 (95% CI, 0.79 to 0.96) assessing the level change. For the discharges with a prescription, median MME [quartile 1, quartile 3] was lower after intervention than before (75 [38, 112] vs. 112 [75, 150]), with a ratio of geometric means of 0.70 (95% CI, 0.65 to 0.75).

conclusionsAn automated real-time clinical decision support tool resulted in clinically significant reductions in oxycodone prescribed at discharge. Incorporation of similarly simple decision support tools in electronic health record systems may significantly reduce unnecessary opioid prescriptions at scale and better align with guideline-concordant care.

Indexed as

Analgesics, OpioidDecision Support Systems, ClinicalInappropriate PrescribingInterrupted Time Series AnalysisPatient DischargePostoperative PainPractice Patterns, Physicians'AdultAgedCohort StudiesDrug PrescriptionsFemaleHumansInpatientsMaleMiddle AgedAnalgesics, OpioidOxycodone

Identifiers

PMID42166796
PMCPMC13614722

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.