Evidence map›Paper›PMID 35190099›Full record

ArticleAmerican journal of preventive medicine2022

Distribution of Opioid Prescribing and High-Risk Prescribing Among U.S. Dentists in 2019.

Kao-Ping Chua, Jennifer F Waljee, Vidhya Gunaseelan, Romesh P Nalliah, Chad M Brummett

Open access · greenAbstract read
In one paragraph

Article in American journal of preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the 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
3.2field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

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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 at 1 institution in 1 country.

Kao-Ping ChuaDepartment of Pediatrics, Susan B. Meister Child Health Evaluation and Research Center, University of Michigan Medical School, Ann Arbor, Michigan; Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, Michigan. Electronic address: chuak@med.umich.edu.
Jennifer F WaljeeMichigan Opioid Prescribing Engagement Network, Institute for Healthcare Policy & Innovation, University of Michigan Medical School, Ann Arbor, Michigan; Section of Plastic Surgery, Department of Surgery, University of Michigan Medical School, Ann Arbor, Michigan.
Vidhya GunaseelanMichigan Opioid Prescribing Engagement Network, Institute for Healthcare Policy & Innovation, University of Michigan Medical School, Ann Arbor, Michigan.
Romesh P NalliahUniversity of Michigan School of Dentistry, Ann Arbor, Michigan.
Chad M BrummettMichigan Opioid Prescribing Engagement Network, Institute for Healthcare Policy & Innovation, University of Michigan Medical School, Ann Arbor, Michigan; Division of Pain Medicine, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan.
University of Michigan · US

Funding

Using Default Opioid Prescription Settings to Limit Excessive Opioid Prescribing to Adolescents and Young AdultsK08DA048110 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHUA, KAO-PING · 2019 to 2023
$983k
NIDA NIH HHS K08 DA048110
6 · The paper itself

Abstract

introductionIt is unknown whether certain dentists account for disproportionate shares of dental opioid prescriptions and high-risk prescriptions. Identifying and characterizing such dentists could inform the targeting of initiatives to improve the appropriateness and safety of dental opioid prescribing.

methodsIn May 2021, the authors conducted a cross-sectional analysis using the IQVIA Longitudinal Prescription Database, which reports dispensing from 92% of U.S. pharmacies, and 2 provider databases (IQVIA OneKey, National Plan and Provider Enumeration System). Analyses included opioid prescriptions from dentists dispensed in 2019 to patients aged >12 years. High-risk prescriptions were those considered high risk by any of 3 metrics (prescriptions to opioid-naïve patients exceeding a 3-day supply, prescriptions with daily opioid dosage ≥50 morphine milligram equivalents, opioid prescriptions with benzodiazepine overlap). Among all prescriptions and high-risk prescriptions, the authors calculated the proportion accounted for by high-volume dentists -- those with prescription counts in the 95th percentile or higher. Using logistic regression, the characteristics associated with being a high-volume dentist were identified.

resultsIn 2019, a total of 141,345 dentists accounted for 10,736,743 opioid prescriptions dispensed to patients aged >12 years; 4,242,634 (39.5%) were high-risk prescriptions. The 7,079 high-volume dentists, a group representing 5.0% of the 141,345 dentists, accounted for 46.9% of all prescriptions and 47.5% of high-risk prescriptions. Male sex, younger age, non‒Northeast location, and specialization in oral and maxillofacial surgery were associated with a higher risk of being a high-volume dentist.

conclusionsIn 2019, high-volume dentists accounted for almost half of dental opioid prescriptions and high-risk prescriptions. Quality improvement initiatives targeting these dentists may be warranted.

Indexed as

Analgesics, OpioidPractice Patterns, Physicians'ChildCross-Sectional StudiesDentistsDrug PrescriptionsHumansMalePrescriptionsAnalgesics, Opioid

Identifiers

PMID35190099
PMCPMC8867916
OpenAlexW4213216895

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.