Surgical prescription opioid trajectories among state Medicaid enrollees
DOI:
https://doi.org/10.5055/jom.0832Keywords:
opioid, surgery, narcotics, trends, risk factorsAbstract
Objective: The objective of this study was to evaluate opioid use trajectories among a sample of 10,138 Medicaid patients receiving one of six index surgeries: lumbar spine, total knee arthroplasty, cholecystectomy, appendectomy, colon resection, and tonsillectomy.
Design: Retrospective cohort.
Setting: Administrative claims data.
Patients and participants: Patients, aged 13 years and older, with 15-month continuous Medicaid eligibility surrounding index surgery, were selected from single-state Medicaid medical and pharmacy claims data for surgeries performed between 2014 and 2017.
Interventions: None.
Main outcome measures: Baseline comorbidities and presurgery opioid use were assessed in the 6 months prior to admission, and patients' opioid use was followed for 9 months post-discharge. Generalized linear model with log link and Poisson distribution was used to determine risk of chronic opioid use for all risk factors. Group-based trajectory models identified groups of patients with similar opioid use trajectories over the 15-month study period.
Results: More than one in three (37.7 percent) patients were post-surgery chronic opioid users, defined as the dichotomous outcome of filling an opioid prescription 90 or more days after surgery. Key variables associated with chronic post-surgery opioid use include presurgery opioid use, 30-day post-surgery opioid use, and comorbidities. Latent trajectory modeling grouped patients into six distinct opioid use trajectories. Associates of trajectory group membership are reported.
Conclusions: Findings support the importance of surgeons setting realistic patient expectations for post-surgical opioid use, as well as the importance of coordination of post-surgical care among patients failing to fully taper off opioids within 1-3 months of surgery.
References
Ahmad FB, Rossen LM, Sutton P: Provisional Drug Overdose Death Counts. Hyattsville, MD: National Center for Health Statistics, 2021.
Commission on Combatting Synthetic Opioid Trafficking: Final report. Available at http://www.rand.org/hsrd/hsoac/commission-combating-synthetic-opioid-trafficking. Accessed July 20, 2022.
Centers for Disease Control and Prevention (CDC): National Center for Health Statistics: Wide-ranging online data for epidemiologic research (WONDER). Available at http://wonder.cdc.gov. Accessed July 20, 2022.
National Institute on Drug Abuse (NIDA): Overdose death rates. Trends and statistics. Available at https://nida.nih.gov/drug-topics/trends-statistics/overdose-death-rates. Accessed July 20, 2022.
Agarwal S, Shah A, Gunaseelan V, et al.: New persistent opioid use after surgery in patients with a history of remote opioid use. Surgery. 2021; DOI: 10.1016/j.surg.2021.11.008. DOI: https://doi.org/10.1016/j.surg.2021.11.008
Guy GP Jr, Zhang K: Opioid prescribing by specialty and volume in the US. Am J Prev Med. 2018; 55(5): E153-E155. DOI: 10.1016/j.amepre.2018.06.008. DOI: https://doi.org/10.1016/j.amepre.2018.06.008
Hah JM, Bateman BT, Ratliff J, et al.: Chronic opioid use after surgery: Implications for perioperative management in the face of the opioid epidemic. Anesth Analg. 2017; 125(5): 1733-1740. DOI: 10.1213/ane.0000000000002458. DOI: https://doi.org/10.1213/ANE.0000000000002458
Waljee JF, Li L, Brummett CM, et al.: Iatrogenic opioid dependence in the United States: Are surgeons the gatekeepers? Ann Surg. 2017; 265(4): 728-730. DOI: 10.1097/sla.0000000000001904. DOI: https://doi.org/10.1097/SLA.0000000000001904
Lavoie-Gagne O, Nwachukwu BU, Allen AA, et al.: Factors predictive of prolonged postoperative narcotic usage following orthopaedic surgery. JBJS Rev. 2020; 8(6): E0154. DOI: 10.2106/jbjs.Rvw.19.00154. DOI: https://doi.org/10.2106/JBJS.RVW.19.00154
Li MM, Ocay DD, Teles AR, et al.: Acute postoperative opioid consumption trajectories and long-term outcomes in pediatric patients after spine surgery. J Pain Res. 2019; 12: 1673-1684. DOI: 10.2147/jpr.S191183. DOI: https://doi.org/10.2147/JPR.S191183
Lo YT, Lim-Watson M, Seo Y, et al.: Long-term opioid prescriptions after spine surgery: A meta-analysis of prevalence and risk factors. World Neurosurg. 2020; 141: e894-e920. DOI: 10.1016/j.wneu.2020.06.081. DOI: https://doi.org/10.1016/j.wneu.2020.06.081
Brummett CM, Waljee JF, Goesling J, et al.: New persistent opioid use after minor and major surgical procedures in US adults. JAMA Surg. 2017; 152(6): e170504. DOI: 10.1001/jamasurg.2017.0504. DOI: https://doi.org/10.1001/jamasurg.2017.0504
Goyal A, Payne S, Sangaralingham LR, et al.: Incidence and risk factors for prolonged postoperative opioid use following lumbar spine surgery: A cohort study. J Neurosurg Spine. 2021; 1-9. DOI: 10.3171/2021.2.Spine202205. DOI: https://doi.org/10.3171/2021.2.SPINE202205
Orfield NJ, Gaddis A, Russell KB, et al.: New long-term opioid prescription-filling behavior arising in the 15 months after orthopaedic surgery. J Bone Joint Surg. 2020; 102(4): 332-339. DOI: 10.2106/jbjs.19.00241. DOI: https://doi.org/10.2106/JBJS.19.00241
Santosa KB, Hu HM, Brummett CM, et al.: New persistent opioid use among older patients following surgery: A Medicare claims analysis. Surgery. 2020; 167(4): 732-742. DOI: 10.1016/j.surg.2019.04.016. DOI: https://doi.org/10.1016/j.surg.2019.04.016
Bedard NA, Pugely AJ, Dowdle SB, et al.: Opioid use following total hip arthroplasty: Trends and risk factors for prolonged use. J Arthroplasty. 2017; 32(12): 3675-3679. DOI: 10.1016/j.arth.2017.08.010. DOI: https://doi.org/10.1016/j.arth.2017.08.010
Katzman C, Harker EC, Ahmed R, et al.: The association between preoperative opioid exposure and prolonged postoperative use. Ann Surg. 2021; 274(5): e410-e416. DOI: 10.1097/sla.0000000000003723. DOI: https://doi.org/10.1097/SLA.0000000000003723
Politzer CS, Kildow BJ, Goltz DE, et al.: Trends in opioid utilization before and after total knee arthroplasty. J Arthroplasty. 2018; 33(7s): S147-S153.e1. DOI: 10.1016/j.arth.2017.10.060. DOI: https://doi.org/10.1016/j.arth.2017.10.060
Bayman EO, Parekh KR, Keech J, et al.: A prospective study of chronic pain after thoracic surgery. Anesthesiology. 2017; 126(5): 938-951. DOI: 10.1097/aln.0000000000001576. DOI: https://doi.org/10.1097/ALN.0000000000001576
Liu CW, Page MG, Weinrib A, et al.: Predictors of one year chronic post-surgical pain trajectories following thoracic surgery. J Anesth. 2021; 35(4): 505-514. DOI: 10.1007/s00540-021-02943-7. DOI: https://doi.org/10.1007/s00540-021-02943-7
Singh JA, Lemay CA, Nobel L, et al.: Association of early postoperative pain trajectories with longer-term pain outcome after primary total knee arthroplasty. JAMA Netw Open. 2019; 2(11): e1915105. DOI: 10.1001/jamanetworkopen.2019.15105. DOI: https://doi.org/10.1001/jamanetworkopen.2019.15105
Basco WT Jr, Ward RC, Taber DJ, et al.: Patterns of dispensed opioids after tonsillectomy in children and adolescents in South Carolina, United States, 2010-2017. Int J Pediatr Otorhinolaryngol. 2021; 143: 110636. DOI: 10.1016/j.ijporl.2021.110636. DOI: https://doi.org/10.1016/j.ijporl.2021.110636
Cina RA, Ward RC, Basco WT, et al.: Incidence and patterns of persistent opioid use in children following appendectomy. J Pediatr Surg. 2022; 57(12): 912-919. DOI: 10.1016/j.jpedsurg.2022.04.019. DOI: https://doi.org/10.1016/j.jpedsurg.2022.04.019
Lockett MA, Ward RC, McCauley JL, et al.: New chronic opioid use in Medicaid patients following cholecystectomy. Surg Open Sci. 2022; 9: 101-108. DOI: 10.1016/j.sopen.2022.05.009. DOI: https://doi.org/10.1016/j.sopen.2022.05.009
Ward A, Jani T, De Souza E, et al.: Prediction of prolonged opioid use after surgery in adolescents: Insights from machine learning. Anesth Analg. 2021; 133(2): 304-313. DOI: 10.1213/ane.0000000000005527. DOI: https://doi.org/10.1213/ANE.0000000000005527
Mikhaeil J, Ayoo K, Clarke H, et al.; Review of the transitional pain service as a method of postoperative opioid weaning and a service aimed at minimizing the risk of chronic postsurgical pain. Anaesthesiol Intensive Ther. 2020; 52(2): 148-153. DOI: 10.5114/ait.2020.96018. DOI: https://doi.org/10.5114/ait.2020.96018
Quan H, Sundararajan V, Halfon P, et al.: Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005; 43(11): 1130-1139. DOI: https://doi.org/10.1097/01.mlr.0000182534.19832.83
Jones BL, Nagin DS: Advances in group-based trajectory modeling and an SAS procedure for estimating them. Sociol Methods Res. 2007; 35(4): 542-571. DOI: https://doi.org/10.1177/0049124106292364
Nagin D: Group-Based Modeling of Development. Cambridge: Harvard University Press, 2005. DOI: https://doi.org/10.4159/9780674041318
Nagin DS, Odgers CL: Group-based trajectory modeling in clinical research. Annu Rev Clin Psychol. 2010; 6: 109-138. DOI: https://doi.org/10.1146/annurev.clinpsy.121208.131413
King P, Stone A, Arentz E, et al.: Opioid use patterns after total joint arthroplasty. J Surg Orthop Adv. 2020; 29(1): 13-17. DOI: https://doi.org/10.3113/JSOA.2020.0013
Lawal OD, Gold J, Murthy A, et al.: Rate and risk factors associated with prolonged opioid use after surgery: A systematic review and meta-analysis. JAMA Netw Open. 2020; 3(6): e207367. DOI: 10.1001/jamanetworkopen.2020.7367. DOI: https://doi.org/10.1001/jamanetworkopen.2020.7367
Schoof LH, Mahure SA, Feng JE, et al.: The effects of patient point of entry and medicaid status on postoperative opioid consumption and pain after primary total hip arthroplasty. J Am Acad Orthop Surg. 2022; 11. DOI: 10.5435/jaaos-d-21-01057. DOI: https://doi.org/10.5435/JAAOS-D-21-01057
Stone ML, LaPar DJ, Mulloy DP, et al.: Primary payer status is significantly associated with postoperative mortality, morbidity, and hospital resource utilization in pediatric surgical patients within the United States. J Pediatr Surg. 2013; 48(1): 81-87. DOI: 10.1016/j.jpedsurg.2012.10.021. DOI: https://doi.org/10.1016/j.jpedsurg.2012.10.021
Catchpool M, Knight J, Young JT, et al.: Opioid use prior to elective surgery is strongly associated with persistent use following surgery: An analysis of 14 354 Medicare patients. ANZ J Surg. 2019; 89(11): 1410-1416. DOI: 10.1111/ans.15492. DOI: https://doi.org/10.1111/ans.15492
Sun EC, Darnall BD, Baker LC, et al.: Incidence of and risk factors for chronic opioid use among opioid-naive patients in the postoperative period. JAMA Intern Med. 2016; 176(9): 1286- 1293. DOI: 10.1001/jamainternmed.2016.3298. DOI: https://doi.org/10.1001/jamainternmed.2016.3298
Johnson A, Milne B, Jamali N, et al.: Chronic opioid use after joint replacement surgery in seniors is associated with increased healthcare utilization and costs: A historical cohort study [Association entre la consommation chronique d'opioïdes après une chirurgie de remplacement articulaire chez les personnes âgées et une augmentation de l'utilisation et des coûts des soins de santé: Une étude de cohorte historique]. Can J Anaesth. 2022. DOI: 10.1007/s12630-022-02240-1. DOI: https://doi.org/10.1007/s12630-022-02240-1
Featherall J, Anderson JT, Anderson LA, et al.: A multidisciplinary transitional pain management program is associated with reduced opioid dependence after primary total joint arthroplasty. J Arthroplast. 2022; 16. DOI: 10.1016/j.arth.2022.02.032. DOI: https://doi.org/10.1016/j.arth.2022.02.032
Martin BC, Fan MY, Edlund MJ, et al.: Long-term chronic opioid therapy discontinuation rates from the TROUP study. J Gen Intern Med. 2011; 26(12): 1450-1457. DOI: 10.1007/s11606-011-1771-0. DOI: https://doi.org/10.1007/s11606-011-1771-0
Lanzillotta-Rangeley J, Clark A, Christianson A, et al.: Association of prescription opioid exposure and patient factors with prolonged postoperative opioid use in opioid-naïve patients. Aana J. 2020; 88(1): 18-26.
Ramachandran S, Salkar M, Bentley JP, et al.: Patterns of long-term prescription opioid use among older adults in the United States: A study of Medicare administrative claims data. Pain Physician. 2021; 24(1): 31-40. DOI: https://doi.org/10.36076/ppj.2021.24.31-40
Jain N, Phillips FM, Malik AT, et al.: Preoperative opioid weaning before major spinal fusion: Simulated data, real-world insights. Spine (Phila Pa 1976). 2021; 46(2): 80-86. DOI: 10.1097/brs.0000000000003744. DOI: https://doi.org/10.1097/BRS.0000000000003744
Nguyen LC, Sing DC, Bozic KJ: Preoperative reduction of opioid use before total joint arthroplasty. J Arthroplast. 2016; 31(9 Suppl.): 282-287. DOI: 10.1016/j.arth.2016.01.068. DOI: https://doi.org/10.1016/j.arth.2016.01.068
Published
How to Cite
Issue
Section
License
Copyright 2005-2024, Weston Medical Publishing, LLC
All Rights Reserved