ArticleJournal of clinical orthopaedics and trauma2024
Variations in opioid prescribing after total joint arthroplasty: An Observational study.
Article in Journal of clinical orthopaedics and trauma, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.
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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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Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: This study aimed to analyze the prescribing patterns of opioids by different categories of providers for postoperative pain after primary total hip and knee arthroplasty (THA, TKA) at a single institution. Methods: A retrospective review was conducted on 1774 patients who underwent primary THA or TKA between 2014 and 2019 at a single, level one academic trauma center. Patients were excluded for additional procedures within 90 days of the index surgery. Patient demographics, operative variables, and opioid prescriptions were collected and analyzed. Generalized linear models accounting for within-person correlations were used to model the association between patient age, prescriber, etiology, opioid category, and mean morphine milligram equivalent (MME) prescribed. Results: The mean MME prescribed per patient up to 90 days postoperatively was 1591. Significant variations were observed in prescribing habits based on patient gender, age, prescriber category, and drug type. Females were prescribed more MMEs than males (CI 8.58, 667.16; p = 0.0443) and patients 65 years or younger received higher MMEs compared to those above 65 (CI 231.11, 926.48; p = 0.0011). Non-orthopedic physicians prescribed higher MMEs than orthopedic surgeons (CI 402.76, 1219.48; p < 0.0001). Hydrocodone and oxycodone prescriptions had significantly higher MMEs than tramadol prescriptions (CI 446.33, 719.52; p < 0.0001 and CI 681.09, 1065.26; p < 0.0001, respectively). Conclusion: These findings suggest the need for standardized guidelines and interventions to address variations in opioid prescribing practices for postoperative pain control. Understanding baseline prescription habits can help guide efforts to optimize pain management and reduce opioid overprescribing in the surgical setting.
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