Evidence map›Paper›PMID 38488780›Full record

Trial reportJAMA health forum2024

Peer Comparison or Guideline-Based Feedback and Postsurgery Opioid Prescriptions: A Randomized Clinical Trial.

Zachary Wagner, Allison Kirkegaard, Louis T Mariano, Jason N Doctor, Xiaowei Yan, Stephen D Persell, Noah J Goldstein, Craig R Fox, Chad M Brummett, Robert J Romanelli and 7 more

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA health forum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05070338 (Reducing Inappropriate Prescription Opioid Prescribing at Hospital Discharge), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 4% 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.

NCT05070338 nacompletednot on this map

Reducing Inappropriate Prescription Opioid Prescribing at Hospital Discharge

TypeinterventionalSponsorRANDRan2021 to 2023Enrolled640ConditionsOpioid PrescribingArmsGuideline-Based (Injunctive Norm) Nudges, Peer-Based (Social Norm) Nudges
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Identifying and analyzing high-prescribers of opioids and antibiotics using medicare part D data.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2026
    Article
  7. Article
  8. Article
  9. 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

17 authors at 8 institutions in 2 countries.

Zachary WagnerRAND Corporation, Santa Monica, California.
Allison KirkegaardRAND Corporation, Santa Monica, California.
Louis T MarianoRAND Corporation, Arlington, Virginia.
Jason N DoctorSol Price School of Public Policy, University of Southern California, Los Angeles.
Xiaowei YanPalo Alto Medical Foundation, Palo Alto, California.
Stephen D PersellDivision of General Internal Medicine, Department of Medicine, Center for Primary Care Innovation, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Noah J GoldsteinAnderson School of Management, Department of Psychology, and Geffen School of Medicine, University of California at Los Angeles, Los Angeles.
Craig R FoxAnderson School of Management, Department of Psychology, and Geffen School of Medicine, University of California at Los Angeles, Los Angeles.
Chad M BrummettUniversity of Michigan Medical School, Ann Arbor.
Robert J RomanelliPalo Alto Medical Foundation, Palo Alto, California.
Kathryn BouskillRAND Corporation, Santa Monica, California.
Meghan MartinezPalo Alto Medical Foundation, Palo Alto, California.
Kyle ZanoccoSection of Endocrine Surgery, Division of General Surgery, Department of Surgery, David Geffen School of Medicine at UCLA, Los Angeles, California.
Daniella MeekerKeck School of Medicine, USC Leonard D. Schaeffer Center for Health Policy & Economics, Los Angeles, California.
Satish MudigantiPalo Alto Medical Foundation, Palo Alto, California.
Jennifer WaljeeUniversity of Michigan Medical School, Ann Arbor.
Katherine E WatkinsRAND Corporation, Santa Monica, California.
RAND Corporation · USPalo Alto Institute · USUniversity of California, Los Angeles · USUniversity of Michigan–Ann Arbor · USNorthwestern University · USRAND Europe · GBUniversity of Southern California · USYale University · US

Funding

REDUCING INAPPROPRIATE PRESCRIPTION OPIOID PRESCRIBING AT HOSPITAL DISCHARGER01DA046226 · NIDA · RAND CORPORATION · PI WATKINS, KATHERINE E · 2019 to 2023
$3.0M
NIDA NIH HHS R01 DA046226
6 · The paper itself

Abstract

Importance: Excess opioid prescribing after surgery can result in prolonged use and diversion. Email feedback based on social norms may reduce the number of pills prescribed. Objective: To assess the effectiveness of 2 social norm-based interventions on reducing guideline-discordant opioid prescribing after surgery. Design, Setting, and Participants: This cluster randomized clinical trial conducted at a large health care delivery system in northern California between October 2021 and October 2022 included general, obstetric/gynecologic, and orthopedic surgeons with patients aged 18 years or older discharged to home with an oral opioid prescription. Interventions: In 19 hospitals, 3 surgical specialties (general, orthopedic, and obstetric/gynecologic) were randomly assigned to a control group or 1 of 2 interventions. The guidelines intervention provided email feedback to surgeons on opioid prescribing relative to institutionally endorsed guidelines; the peer comparison intervention provided email feedback on opioid prescribing relative to that of peer surgeons. Emails were sent to surgeons with at least 2 guideline-discordant prescriptions in the previous month. The control group had no intervention. Main Outcome and Measures: The probability that a discharged patient was prescribed a quantity of opioids above the guideline for the respective procedure during the 12 intervention months. Results: There were 38 235 patients discharged from 640 surgeons during the 12-month intervention period. Control-group surgeons prescribed above guidelines 36.8% of the time during the intervention period compared with 27.5% and 25.4% among surgeons in the peer comparison and guidelines arms, respectively. In adjusted models, the peer comparison intervention reduced guideline-discordant prescribing by 5.8 percentage points (95% CI, -10.5 to -1.1; P = .03) and the guidelines intervention reduced it by 4.7 percentage points (95% CI, -9.4 to -0.1; P = .05). Effects were driven by surgeons who performed more surgeries and had more guideline-discordant prescribing at baseline. There was no significant difference between interventions. Conclusions and Relevance: In this cluster randomized clinical trial, email feedback based on either guidelines or peer comparison reduced opioid prescribing after surgery. Guideline-based feedback was as effective as peer comparison-based feedback. These interventions are simple, low-cost, and scalable, and may reduce downstream opioid misuse. Trial Registration: ClinicalTrials.gov NCT05070338.

Indexed as

Analgesics, OpioidOpioid-Related DisordersFeedbackFemaleHumansPractice Patterns, Physicians'PrescriptionsAnalgesics, Opioid

Identifiers

PMID38488780
PMCPMC10943416
OpenAlexW4392845781

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.