ArticleJournal of general internal medicine2023
An Exploratory Analysis of Differential Prescribing of High-Risk Opioids by Insurance Type Among Patients Seen by the Same Clinician.
Article in Journal of general internal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Patient-related risk factors for new persistent opioid use after surgery among opioid-naïve individuals in the United States: a systematic review and meta-analysis.Pain medicine (Malden, Mass.) · 2026Pooled it
- Opioid and Methadone Prescribing for Infants with Surgical Management of Congenital Heart Disease.Pediatric cardiology · 2026Observational
- Fentanyl Utilization During Extracorporeal Membrane Oxygenation and Risk of Methadone Treatment Among Pediatric ECMO Survivors.Pediatric surgery international · 2026Article
- Patterns of opioid dose escalation in patients with chronic kidney disease initiated on opioids for the treatment of non-cancer pain.PloS one · 2026Article
- Institutional and Regional Variation in Opioid Prescribing for Hospitalized Infants in the US.JAMA network open · 2024Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInsurance status may influence quality of opioid analgesic (OA) prescribing among patients seen by the same clinician.
objectiveTo explore how high-risk OA prescribing varies by payer type among patients seeing the same prescriber and identify clinician characteristics associated with variable prescribing
designRetrospective cohort study using the 2016-2018 IQVIA Real World Data - Longitudinal Prescription
participantsNew OA treatment episodes for individuals ≥ 12 years, categorized by payer and prescriber. We created three dyads: prescribers with ≥ 10 commercial insurance episodes and ≥ 10 Medicaid episodes; ≥ 10 commercial insurance episodes and ≥ 10 self-pay episodes; and ≥ 10 Medicaid episodes and ≥ 10 self-pay episodes. MAIN OUTCOME(S) AND MEASURE(S): Rates of high-risk episodes (initial opioid episodes with > 7-days' supply or prescriptions with a morphine milliequivalent daily dose >90) and odds of being an unbalanced prescriber (prescribers with significantly higher percentage of high-risk episodes paid by one payer vs. the other payer) KEY
resultsThere were 88,352 prescribers in the Medicaid/self-pay dyad, 172,392 in the Medicaid/commercial dyad, and 122,748 in the self-pay/commercial dyad. In the Medicaid/self-pay and the commercial-self-pay dyads, self-pay episodes had higher high-risk episode rates than Medicaid (16.1% and 18.4%) or commercial (22.7% vs. 22.4%). In the Medicaid/commercial dyad, Medicaid had higher high-risk episode rates (21.1% vs. 20.4%). The proportion of unbalanced prescribers was 11-12% across dyads. In adjusted analyses, surgeons and pain specialists were more likely to be unbalanced prescribers than adult primary care physicians (PCPs) in the Medicaid/self-paydyad (aOR 1.2, 95% CI 1.16-1.34 and aOR 1.2, 95% CI 1.03-1.34). For Medicaid/commercial and self-pay/commercial dyads, surgeons had lower odds of being unbalanced compared to PCPs (aOR 0.6, 95% CI 0.57-0.66 and aOR 0.6, 95% CI 0.61-0.68).
conclusionsClinicians prescribe high-risk OAs differently based on insurance type. The relationship between insurance and opioid prescribing quality goes beyond where patients receive care.
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Registered trials
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