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. 2022 Aug 1;137(2):151-162.
doi: 10.1097/ALN.0000000000004259.

Surgeon Variation in Perioperative Opioid Prescribing and Medium- or Long-term Opioid Utilization after Total Knee Arthroplasty: A Cross-sectional Analysis

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Surgeon Variation in Perioperative Opioid Prescribing and Medium- or Long-term Opioid Utilization after Total Knee Arthroplasty: A Cross-sectional Analysis

Xi Cen et al. Anesthesiology. .

Abstract

Background: Whether a particular surgeon's opioid prescribing behavior is associated with prolonged postoperative opioid use is unknown. This study tested the hypothesis that the patients of surgeons with a higher propensity to prescribe opioids are more likely to utilize opioids long-term postoperatively.

Methods: The study identified 612,378 Medicare fee-for-service patients undergoing total knee arthroplasty between January 1, 2011, and December 31, 2016. "High-intensity" surgeons were defined as those whose patients were, on average, in the upper quartile of opioid utilization in the immediate perioperative period (preoperative day 7 to postoperative day 7). The study then estimated whether patients of high-intensity surgeons had higher opioid utilization in the midterm (postoperative days 8 to 90) and long-term (postoperative days 91 to 365), utilizing an instrumental variable approach to minimize confounding from unobservable factors.

Results: In the final sample of 604,093 patients, the average age was 74 yr (SD 5), and there were 413,121 (68.4%) females. A total of 180,926 patients (30%) were treated by high-intensity surgeons. On average, patients receiving treatment from a high-intensity surgeon received 36.1 (SD 35.0) oral morphine equivalent (morphine milligram equivalents) per day during the immediate perioperative period compared to 17.3 morphine milligram equivalents (SD 23.1) per day for all other patients (+18.9 morphine milligram equivalents per day difference; 95% CI, 18.7 to 19.0; P < 0.001). After adjusting for confounders, receiving treatment from a high-intensity surgeon was associated with higher opioid utilization in the midterm opioid postoperative period (+2.4 morphine milligram equivalents per day difference; 95% CI, 1.7 to 3.2; P < 0.001 [11.4 morphine milligram equivalents per day vs. 9.0]) and lower opioid utilization in the long-term postoperative period (-1.0 morphine milligram equivalents per day difference; 95% CI, -1.4 to -0.6; P < 0.001 [2.8 morphine milligram equivalents per day vs. 3.8]). While statistically significant, these differences are clinically small.

Conclusions: Among Medicare fee-for-service patients undergoing total knee arthroplasty, surgeon-level variation in opioid utilization in the immediate perioperative period was associated with statistically significant but clinically insignificant differences in opioid utilization in the medium- and long-term postoperative periods.

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Conflict of interest statement

Competing Interests

Dr. Sun is on the advisory board of Lucid Lane, LLC (Los Altos‚ California) and reports receiving consulting fees unrelated to this work from Analysis Group (Boston‚ Massachusetts). Dr. Jena reports receiving (in the last 36 months) consulting fees unrelated to this work from Bioverativ (Waltham‚ Massachusetts), Merck/Sharp/Dohme (Kenilworth, New Jersey), Janssen (Titusville, New Jersey), Edwards Life Sciences (Irvine, California), Novartis (East Hanover‚ New Jersey), Amgen (Thousand Oaks, California), Eisai (Nutley‚ New Jersey), Otsuka Pharmaceuticals (Princeton‚ New Jersey), Vertex Pharmaceuticals (Boston, Massachusetts), Celgene (Summit‚ New Jersey), Sanofi Aventis (Bridgewater‚ New Jersey), Precision Health Economics and Analysis Group (Boston‚ Massachusetts). Dr. Jena also reports receiving (in the last 36 months) income unrelated to this work from hosting the podcast Freakonomics, M.D. (Boston, Massachusetts), and from book rights from Doubleday Books (New York‚ New York). Dr. Jena also reports being retained as an expert witness in lawsuits against opioid manufacturers and distributors. Dr. Mackey reports receiving research funding unrelated to this work from the Redlich Professorship and Rosenkrans Pain Research Endowment Fund at the Stanford University School of Medicine (Palo Alto, California), the Stanford Wu Tsai Neurosciences Institute (Palo Alto, California), the UCSF-Stanford Center of Excellence in Regulatory Science and Innovation (Palo Alto, California), the National Institutes of Health (R61NS118651, R03HD094577, R01DA045027, R01NS109450, R01AT008561, R01DA035484, P01AT00665105; Bethesda, Maryland), and the Patient Centered Outcomes Research Institute (Washington, DC). Dr. Mackey reports travel expenses and/or honoraria unrelated to this work from the Walter Reed National Military Medical Center (Bethesda, Maryland),The Georgetown University School of Medicine (Washington, DC), Harvard University (Cambridge, Massachusetts), the American Academy for Pain Medicine (Orlando, Florida), Washington University (St. Louis, Missouri), the US Food and Drug Administration (Silver Spring, Maryland), the National Institutes of Health (Bethesda, Maryland), the University of Washington (Seattle, Washington), George Washington University (Washington, DC), New York University (New York, New York), Weill Cornell Medical College (New York, New York), and the Canadian Pain Society (Markham, Ontario). Dr. Mackey reports consulting fees unrelated to this work from the American Society of Anesthesiologists (Schaumburg, Illinois), Fain, Anderson, VanDerhoef, Rosendahl, O’Halloran, and Spillane, PLLC (Seattle, Washington), Cox, Wootton, Lerner, Griffin, and Hansen (San Francisco, California), Lewis Brisbois Bisgaard and Smith (Los Angeles, California), Muro and Lampe (Folsom, California), and the Oklahoma Health Sciences Center (Norman, Oklahoma). Dr. Cen declares no competing interests.

Figures

Fig. 1.
Fig. 1.
Variation across surgeons in patients’ opioid utilization during the immediate perioperative period. Immediate perioperative period is defined as 7 days before surgery to 7 days after surgery. The overall surgeon fixed effects ranged from −25 to 76 morphine milligram equivalents (median fixed effect was set as 0), with different colors indicating P values at different significance levels relative to the median surgeon: orange, P < 0.01; blue, P < 0.05; gray, P < 0.1; and yellow, P ≥ 0.1.
Fig. 2.
Fig. 2.
Association between prescribing intensity in the immediate perioperative period and subsequent utilization in in the mid- and long-term postoperative periods. 95% CI calculated using standard errors that were adjusted for clustering at the hospital level. “Instrumental variable analysis” refers to an analysis that adjusted for all the patient characteristics listed in table 1 and that also used an instrumental variable approach, based on distance to the nearest high-intensity prescriber, to reduce confounding from unobservable patient and physician characteristics.

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