Evidence map›Paper›PMID 35792881›Full record

Trial reportPain medicine (Malden, Mass.)2023

Reducing Opioid Analgesic Prescribing in Dentistry Through Prescribing Defaults: A Cluster-Randomized Controlled Trial.

Marcus A Bachhuber, Denis Nash, William N Southern, Moonseong Heo, Matthew Berger, Mark Schepis, Olivia K Sugarman, Chinazo O Cunningham

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

Trial report in Pain medicine (Malden, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03030469 (A Cluster-randomized Trial of Modifying Electronic Health Record Defaults to Reduce the Prescribed Quantity of Opioid Analgesics in Dentistry Practices), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 32% 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.

NCT03030469 nacompletednot on this map

A Cluster-randomized Trial of Modifying Electronic Health Record Defaults to Reduce the Prescribed Quantity of Opioid Analgesics in Dentistry Practices

TypeinterventionalSponsorMontefiore Medical CenterRan2016 to 2018Enrolled10,000ConditionsAcute PainArmsChange in electronic health record default for new opioid analgesic prescriptions
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Predictors of Supplemental Opioid Use After Third Molar Extraction.medRxiv : the preprint server for health sciences · 2025
    Article
  2. 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

8 authors at 4 institutions in 1 country.

Marcus A BachhuberDivision of General Internal Medicine, Department of Medicine, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, New York.ORCID 0000-0002-5610-8382
Denis NashInstitute for Implementation Science in Population Health, City University of New York (CUNY), New York, New York.
William N SouthernDivision of Hospital Medicine, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, New York.
Moonseong HeoDivision of General Internal Medicine, Department of Medicine, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, New York.ORCID 0000-0001-7711-1209
Matthew BergerMontefiore Information Technology, Montefiore Medical Center, Bronx, New York.
Mark SchepisMontefiore Information Technology, Montefiore Medical Center, Bronx, New York.
Olivia K SugarmanSection of Community and Population Medicine, Department of Medicine, Louisiana State University Health Sciences Center-New Orleans, New Orleans, Louisiana, USA.
Chinazo O CunninghamDivision of General Internal Medicine, Department of Medicine, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, New York.
Albert Einstein College of Medicine · USMontefiore Medical Center · USCity University of New York · USLouisiana State University Health Sciences Center New Orleans · US

Funding

Patient and Population Health Outcomes Research SWGP30AI124414 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI Vilma Gabbay · 2017 to 2026
$28.3M
CTSA Administrative Supplement for Informatics Core: A novel AI/ML system to predict respiratory failure and ARDS in Covid-19 patientsUL1TR002556 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, KIM, MIMI Y · 2018 to 2022
$26.7M
Core-010UL1TR001073 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, SHAMOON, HARRY · 2013 to 2017
$21.3M
Mentoring researchers on drug abuse and HIVK24DA036955 · NIDA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI CUNNINGHAM, CHINAZO · 2014 to 2019
$911k
Leveraging the electronic health record to reduce opioid analgesic prescriptionsK08DA043050 · NIDA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI BACHHUBER, MARCUS A · 2017 to 2018
$223k
NCATS NIH HHS UL1 TR001073NCATS NIH HHS UL1 TR002556NIAID NIH HHS P30 AI124414NIDA NIH HHS K08 DA043050NIDA NIH HHS K24 DA036955NIDA NIH HHS L30 DA046356
6 · The paper itself

Abstract

objectiveTo determine the effect of a uniform, reduced, default dispense quantity for new opioid analgesic prescriptions on the quantity of opioids prescribed in dentistry practices.

methodsWe conducted a cluster-randomized controlled trial within a health system in the Bronx, NY, USA. We randomly assigned three dentistry sites to a 10-tablet default, a 5-tablet default, or no change (control). The primary outcome was the quantity of opioid analgesics prescribed in the new prescription. Secondary outcomes were opioid analgesic reorders and health service utilization within 30 days after the new prescription. We analyzed outcomes from 6 months before implementation through 18 months after implementation.

resultsOverall, 6,309 patients received a new prescription. Compared with the control site, patients at the 10-tablet-default site had a significantly larger change in prescriptions for 10 tablets or fewer (38.7 percentage points; confidence interval [CI]: 11.5 to 66.0), lower number of tablets prescribed (-3.3 tablets; CI: -5.9 to -0.7), and lower morphine milligram equivalents (MME) prescribed (-14.1 MME; CI: -27.8 to -0.4), which persisted in the 30 days after the new prescription despite a higher percentage of reorders (3.3 percentage points; CI: 0.2 to 6.4). Compared with the control site, patients at the 5-tablet-default site did not have a significant difference in any outcomes except for a significantly higher percentage of reorders (2.6 percentage points; CI: 0.2 to 4.9).

conclusionsOur findings further support the efficacy of strategies that lower default dispense quantities, although they indicate that caution is warranted in the selection of the default.

trial registrationClinicalTrials.org ID: NCT03030469.

Indexed as

Analgesics, OpioidPractice Patterns, Physicians'DentistryDrug PrescriptionsEndrinHumansTabletsAnalgesics, OpioidEndrinMMETablets

Identifiers

PMID35792881
PMCPMC9825153
OpenAlexW4283832779

What OpenQuestion holds

Textmetadata
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.