Evidence map›Paper›PMID 38227311›Full record

ArticleJAMA network open2024

Variation in Intraoperative Opioid Administration by Patient, Clinician, and Hospital Contribution.

Michael L Burns, Paul Hilliard, John Vandervest, Graciela Mentz, Ace Josifoski, Jomy Varghese, Clark Fisher, Sachin Kheterpal, Nirav Shah, Mark C Bicket

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
6.5field-weighted citation impact, top 3% of its field
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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
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

10 authors at 2 institutions in 1 country.

Michael L BurnsDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor.
Paul HilliardDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor.
John VandervestDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor.
Graciela MentzDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor.
Ace JosifoskiDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor.
Jomy VargheseDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor.
Clark FisherDepartment of Anesthesiology, Yale School of Medicine, New Haven, Connecticut.
Sachin KheterpalDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor.
Nirav ShahDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor.
Mark C BicketDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor.
University of Michigan–Ann Arbor · USYale University · US

Funding

Research Training in AnesthesiaT32GM086287 · NIGMS · YALE UNIVERSITY · PI ROBERT SCHONBERGER · 2009 to 2026
$3.7M
University of Michigan Anesthesiology Post-Doctoral Research Training ProgramT32GM103730 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Chad M Brummett, SACHIN KHETERPAL · 2014 to 2026
$1.9M
NIGMS NIH HHS T32 GM086287NIGMS NIH HHS T32 GM103730
6 · The paper itself

Abstract

Importance: The opioid crisis has led to scrutiny of opioid exposures before and after surgical procedures. However, the extent of intraoperative opioid variation and the sources and contributing factors associated with it are unclear. Objective: To analyze attributable variance of intraoperative opioid administration for patient-, clinician-, and hospital-level factors across surgical and analgesic categories. Design, Setting, and Participants: This cohort study was conducted using electronic health record data collected from a national quality collaborative database. The cohort consisted of 1 011 268 surgical procedures at 46 hospitals across the US involving 2911 anesthesiologists, 2291 surgeons, and 8 surgical and 4 analgesic categories. Patients without ambulatory opioid prescriptions or use history undergoing an elective surgical procedure between January 1, 2014, and September 11, 2020, were included. Data were analyzed from January 2022 to July 2023. Main Outcomes and Measures: The rate of intraoperative opioid administration as a continuous measure of oral morphine equivalents (OMEs) normalized to patient weight and case duration was assessed. Attributable variance was estimated in a hierarchical structure using patient, clinician, and hospital levels and adjusted intraclass correlations (ICCs). Results: Among 1 011 268 surgical procedures (mean [SD] age of patients, 55.9 [16.2] years; 604 057 surgical procedures among females [59.7%]), the mean (SD) rate of intraoperative opioid administration was 0.3 [0.2] OME/kg/h. Together, clinician and hospital levels contributed to 20% or more of variability in intraoperative opioid administration across all analgesic and surgical categories (adjusting for surgical or analgesic category, ICCs ranged from 0.57-0.79 for the patient, 0.04-0.22 for the anesthesiologist, and 0.09-0.26 for the hospital, with the lowest ICC combination 0.21 for anesthesiologist and hosptial [0.12 for the anesthesiologist and 0.09 for the hospital for opioid only]). Comparing the 95th and fifth percentiles of opioid administration, variation was 3.3-fold among anesthesiologists (surgical category range, 2.7-fold to 7.7-fold), 4.3-fold among surgeons (surgical category range, 3.4-fold to 8.0-fold), and 2.2-fold among hospitals (surgical category range, 2.2-fold to 4.3-fold). When adjusted for patient and surgical characteristics, mean (square error mean) administration was highest for cardiac surgical procedures (0.54 [0.56-0.52 OME/kg/h]) and lowest for orthopedic knee surgical procedures (0.19 [0.17-0.21 OME/kg/h]). Peripheral and neuraxial analgesic techniques were associated with reduced administration in orthopedic hip (51.6% [95% CI, 51.4%-51.8%] and 60.7% [95% CI, 60.5%-60.9%] reductions, respectively) and knee (48.3% [95% CI, 48.0%-48.5%] and 60.9% [95% CI, 60.7%-61.1%] reductions, respectively) surgical procedures, but reduction was less substantial in other surgical categories (mean [SD] reduction, 13.3% [8.8%] for peripheral and 17.6% [9.9%] for neuraxial techniques). Conclusions and Relevance: In this cohort study, clinician-, hospital-, and patient-level factors had important contributions to substantial variation of opioid administrations during surgical procedures. These findings suggest the need for a broadened focus across multiple factors when developing and implementing opioid-reducing strategies in collaborative quality-improvement programs.

Indexed as

Analgesics, OpioidOrthopedicsAdolescentCohort StudiesElective Surgical ProceduresFemaleHospitalsHumansAnalgesics, Opioid

Identifiers

PMID38227311
PMCPMC10792468
OpenAlexW4390908247

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.