ArticleJournal of pain research2021
Patient, Provider Type, and Procedure Type Factors Associated with Opioid Prescribing by Dentists in a Health Care System.
Article in Journal of pain research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03584789 (De-Implementing Opioid Use and Implementing Optimal Pain Management Following Dental Extractions), which is not on this map. Cited by 4 papers.
What it found
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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.
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.
De-Implementing Opioid Use and Implementing Optimal Pain Management Following Dental Extractions
Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- De-implementing opioid prescribing in a dental group practice: Lessons learned.Community dentistry and oral epidemiology · 2023Trial
- Rural-urban differences in dental opioid prescribing among adolescent/young adult and adult Medicaid beneficiaries.Frontiers in public health · 2024Article
- Perspectives on the future of dissemination and implementation research in oral and craniofacial sciences.Community dentistry and oral epidemiology · 2023Article
- High prescribing of antibiotics is associated with high prescribing of opioids in medical and dental providers.Pharmacotherapy · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionReports examining opioid prescribing for dental conditions are limited and do not examine patient-level factors. This study examines the association of patient age, sex, race, ethnicity, Medicaid coverage, and the need for an interpreter in addition to procedure type and dental provider type with receipt of an opioid prescription in dental care settings within a large health system. MATERIALS AND
methodsThis study was conducted utilizing data from the electronic health record of HealthPartners, a large dental practice embedded within a health care system. The analytic sample consisted of all 169,173 encounters from 90,487 patients undergoing a dental procedure in the baseline period (9/1/2018 to 8/30/2019), prior to implementing a clinical trial to de-implement opioids in dentistry.
resultsOpioids were prescribed at 1.9% of all 169,173 encounters and rates varied by patient factors, procedure category, and provider type. Opioid prescriptions were most likely for extraction encounters (25.9%). In a multivariable analysis of 8760 extraction encounters, all patient age groups were more likely than those age 66+ to receive an opioid prescription, particularly those age 18-25 (OR=6.94). Patients having a complex rather than simple extraction were more likely to receive an opioid prescription (OR=6.31) and those seen by an oral surgeon rather than a general dentist (OR=9.11) were more likely to receive an opioid prescription. Among 108,748 encounters with a diagnostic procedure, opioid prescribing was more likely among male than female patients (OR=1.20), Black patients relative to White (OR=1.69), patients with Medicaid coverage (OR=1.86), and patients seeing an oral surgeon rather than a general dentist (OR=27.81).
conclusionOpioid prescribing rates vary considerably depending on procedure type. Patterns of associations between patient factors and opioid prescribing also vary considerably across procedure type. To understand which patient groups are more at risk of being prescribed opioids, it is essential to consider the procedures they are receiving.
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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.