Evidence map›Paper›PMID 33744772›Full record

ArticleThe Journal of surgical research2021

Patient-centered Opioid Prescribing: Breaking Away From One-Size-Fits-All Prescribing Guidelines.

Josh Bleicher, Sean M Stokes, Benjamin S Brooke, Robert E Glasgow, Lyen C Huang

Abstract read
In one paragraph

Article in The Journal of surgical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Impact of automated alerts on discharge opioid overprescribing after general surgery.American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. 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

5 authors.

Josh BleicherDepartment of Surgery, University of Utah, Salt Lake City, Utah. Electronic address: Josh.bleicher@hsc.utah.edu.
Sean M StokesDepartment of Surgery, University of Utah, Salt Lake City, Utah.
Benjamin S BrookeDepartment of Surgery, University of Utah, Salt Lake City, Utah.
Robert E GlasgowDepartment of Surgery, University of Utah, Salt Lake City, Utah.
Lyen C HuangDepartment of Surgery, University of Utah, Salt Lake City, Utah.

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
Vascular Health and Risk Factors in Children with Down SyndromeKL2TR002539 · NCATS · UNIVERSITY OF UTAH · PI MURTAUGH, MAUREEN A, NYGAARD, INGRID E · 2018 to 2022
$4.3M
NCATS NIH HHS KL2 TR002539NCATS NIH HHS UL1 TR002538
6 · The paper itself

Abstract

backgroundProcedure-based opioid-prescribing guidelines have reduced the amount of opioids prescribed after surgery; however, many patients are still overprescribed opioids. The 24-h predischarge opioid consumption (PDOC) metric has been proposed to guide patient-centered prescribing. MATERIALS AND

methodsThis is a single-institution, retrospective study of patients who underwent major abdominal surgery. We assessed the correlation between inpatient opioid use and discharge prescriptions using morphine milligram equivalents (MMEs). The adequacy of discharge prescriptions for individual patients was assessed using 2 models, one assuming constant opioid use (based on 24-h PDOC) and the other assuming a linear taper.

resultsOf 596 included patients, gastric bypass and colectomy were the most common operations. Median length of stay was 3.5 d. Inpatient opioid use and discharge prescriptions were weakly correlated (r = 0.35). Patients with no opioid use 24 h before discharge (n = 133, 22.3%) were frequently discharged with opioid prescriptions. Patients with high opioid use (24-h PDOC >60 MME) were often discharged with prescriptions that would have lasted <48 h (164/200, 82%). Assuming constant opioid use, discharge prescriptions would have lasted patients a median of 5.1 d. With linear opioid tapering, 440 (72.9%) patients would have had leftover pills. A theoretical discharge prescription of 4 times 24-h PDOC would reduce the median prescription by 130 MMEs and allow a linear taper for 97.6% of patients.

conclusionsAt our institution, opioid prescribing was rarely patient-centered, with little correlation between patient's inpatient opioid use and discharge prescriptions. This leads to overprescribing for most patients and underprescribing for others.

Indexed as

Practice Guidelines as TopicAdolescentAdultAgedAged, 80 and overAnalgesics, OpioidDrug PrescriptionsFemaleHumansLength of StayMaleMiddle AgedOpioid-Related DisordersPain ManagementPain MeasurementPatient-Centered CareAnalgesics, OpioidConsensus guidelinesOpioid prescribingOpioid stewardshipPain managementPatient-centered care

Identifiers

PMID33744772
PMCPMC8222090

What OpenQuestion holds

Textmetadata
LicenceTDM
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.