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Wally MK, Thompson ME, Odum S, Kazemi DM, Hsu JR, Beuhler M, Bosse M, Castro M, Gibbs M, Griggs C, Jarrett S, Leas D, Rachal J, Roomian T, Runyon M, Saha A, Watling B, Yu Z, Seymour RB. Adherence to legislation limiting opioid prescription duration following musculoskeletal injury. J Opioid Manag 2023; 19:103-115. [PMID: 37879665 DOI: 10.5055/jom.2023.0804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2023]
Abstract
OBJECTIVES North Carolina had implemented legislation (Strengthen Opioid Misuse Prevention (STOP) Act) limiting opioid prescriptions to 5 days for acute pain and 7 days for post-operative pain. This study aimed to identify patient, prescriber, and facility characteristics associated with STOP Act adherence for patients with acute or post-surgical musculoskeletal (MSK) conditions. DESIGN A three-level hierarchical logistic regression model was used to predict odds of adherence with STOP Act duration limits, accounting for fixed and random effects at the patient, prescriber, and facility levels. SETTING A large healthcare system in North Carolina. PATIENTS AND PARTICIPANTS Patients (N = 6,849) presenting from 2018 to 2020 with a diagnosis of an acute MSK injury. INTERVENTIONS The STOP Act limited the duration of opioid prescriptions in North Carolina. MAIN OUTCOME MEASURE Prescriptions adhering to the STOP Act duration limits of 5 days (nonoperative) or 7 days (operative) were the primary outcome. RESULTS Opioids were compliant with STOP Act duration limits in 69.3 percent of encounters, with 33 percent of variation accounted for by clinician and 29 percent by facility. Patients prescribed >1 opioid (odds ratio (OR) 0.46, 95 percent confidence interval (CI): 0.36, 0.58) had reduced odds of a compliant prescription; surgical patients had increased odds of a compliant prescription (outpatient surgery: OR 5.89, 95 percent CI: 2.43-14.29; inpatient surgery: OR 7.71, 95 percent CI: 3.04-19.56). Primary care sports medicine clinicians adhered to legislation less frequently than orthopedic surgeons (OR 0.38, 95 percent CI: 0.15, 0.97). CONCLUSIONS Most prescriptions adhered to STOP Act legislation. Tailored interventions to improve adherence among targeted groups of prescribers, eg, those treating nonoperative injuries and sport medicine clinicians, could be useful.
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Affiliation(s)
- Meghan K Wally
- Department of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute; Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, North Carolina. ORCID: https://orcid.org/0000-0003-4540-532X
| | - Michael E Thompson
- Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, North Carolina
| | - Susan Odum
- Department of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute; Department of Public Health Sci-ences, University of North Carolina at Charlotte; OrthoCarolina Research Institute Charlotte, Charlotte, North Carolina
| | - Donna M Kazemi
- College of Health and Human Services, School of Nursing, University of North Carolina at Charlotte, Charlotte, North Carolina
| | - Joseph R Hsu
- Department of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute, Charlotte, North Carolina
| | - Michael Beuhler
- Department of Emergency Medicine, Atrium Health, Charlotte, North Carolina
| | - Michael Bosse
- Department of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute, Charlotte, North Carolina
| | - Manuel Castro
- Department of Psychiatry, Atrium Health, Charlotte, North Carolina
| | - Michael Gibbs
- Department of Emergency Medicine, Atrium Health, Charlotte, North Carolina
| | - Christopher Griggs
- Department of Emergency Medicine, Atrium Health, Charlotte, North Carolina
| | - Steven Jarrett
- Department of Emergency Medicine, Atrium Health, Charlotte, North Carolina
| | - Daniel Leas
- Department of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute; Carolina Neurosurgery & Spine Associates, Charlotte, North Carolina
| | - James Rachal
- Department of Psychiatry, Atrium Health, Charlotte, North Carolina
| | - Tamar Roomian
- Department of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute, Charlotte, North Carolina
| | - Michael Runyon
- Department of Emergency Medicine, Atrium Health, Charlotte, North Carolina
| | - Animita Saha
- Department of Internal Medicine, Atrium Health, Charlotte, North Carolina
| | | | - Ziqing Yu
- Department of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute, Charlotte, North Carolina
| | - Rachel B Seymour
- Department of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute, Charlotte, North Carolina
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Wally MK, Thompson ME, Odum S, Kazemi DM, Hsu JR, Seymour RB. Changes in opioid prescription duration for musculoskeletal injury associated with the North Carolina Strengthen Opioid Misuse Prevention (STOP) Act. PAIN MEDICINE (MALDEN, MASS.) 2023; 24:926-932. [PMID: 36943361 DOI: 10.1093/pm/pnad036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 02/20/2023] [Accepted: 03/09/2023] [Indexed: 03/23/2023]
Abstract
OBJECTIVES To assess whether implementation of the Strengthen Opioid Misuse Prevention (STOP) Act was associated with an increase in the percentage of opioid prescriptions written for 7 days or fewer among patients with acute or postsurgical musculoskeletal conditions. DESIGN An interrupted time-series study was conducted to determine the change in duration of opioid prescriptions associated with the STOP Act. SETTING Data were extracted from the electronic health record of a large health care system in North Carolina. SUBJECTS Patients presenting from 2016 to 2020 with an acute musculoskeletal injury and the clinicians treating them were included in an interrupted time-series study (n = 12 839). METHODS Trends were assessed over time, including the change in trend associated with implementation of the STOP Act, for the percentage of prescriptions written for ≤7 days. RESULTS Among patients with acute musculoskeletal injury, less than 30% of prescriptions were written for ≤7 days in January of 2016; by December of 2020, almost 90% of prescriptions were written for ≤7 days. Prescriptions written for ≤7 days increased 17.7% after the STOP Act was implemented (P < .001), after adjustment for the existing trend. CONCLUSIONS These results demonstrate significant potential for legislation to influence opioid prescribing behavior.
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Affiliation(s)
- Meghan K Wally
- Department of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute, Charlotte, NC 28207, United States
- Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, United States
| | - Michael E Thompson
- Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, United States
| | - Susan Odum
- Department of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute, Charlotte, NC 28207, United States
- Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, United States
| | - Donna M Kazemi
- College of Health and Human Services, School of Nursing, University of North Carolina at Charlotte, Charlotte, NC 28223, United States
| | - Joseph R Hsu
- Department of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute, Charlotte, NC 28207, United States
| | - Rachel B Seymour
- Department of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute, Charlotte, NC 28207, United States
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Treitler P, Samples H, Hermida R, Crystal S. Association of a State Prescribing Limits Policy with Opioid Prescribing and Long-term Use: an Interrupted Time Series Analysis. J Gen Intern Med 2023; 38:1862-1870. [PMID: 36609812 PMCID: PMC10271990 DOI: 10.1007/s11606-022-07991-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 12/22/2022] [Indexed: 01/09/2023]
Abstract
BACKGROUND Prescription opioids were a major initial driver of the opioid crisis. States have attempted to reduce overprescribing by enacting policies that limit opioid prescriptions, but the impacts of such policies on new prescribing and subsequent transitions to long-term use are not fully understood. OBJECTIVE To examine the association of implementation of a state prescribing limits policy with opioid prescribing and transitions to long-term opioid use. DESIGN Interrupted time series analyses assessing trends in new opioid prescriptions and long-term use before and after policy implementation. PATIENTS A total of 130,591 New Jersey Medicaid enrollees ages 18-64 who received an initial opioid prescription from January 2014 to December 2019. INTERVENTIONS New Jersey's opioid prescribing limit policy implemented in March 2017. MAIN MEASURES Total new opioid prescriptions, percentage of new prescriptions with >5 days' supply, and transition to long-term opioid use, defined as having opioid supply on day 90 after the initial prescription. KEY RESULTS Policy implementation was associated with a significant monthly increase in new opioid prescriptions of 0.86 per 10,000 enrollees, halving the pre-policy decline in the prescribing rate. Among new opioid prescriptions, the percentage with >5 days' supply decreased by about 1 percentage point (-0.76 percentage points, 95% CI -0.89, -0.62) following policy implementation. However, policy implementation was associated with a significant monthly increase in the rate of initial prescriptions with supply on day 90 (9.95 per 10,000 new prescriptions, 95% CI 4.80, 15.11) that reversed the downward pre-implementation trend. CONCLUSIONS The New Jersey policy was associated with a reduction in initial prescriptions with >5 days' supply, but not with an overall decline in new opioid prescriptions or in the rate at which initial prescriptions led to long-term use. Given their only modest benefits, policymakers and clinicians should carefully weigh potential unintended consequences of strict prescribing limits.
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Affiliation(s)
- Peter Treitler
- Institute for Health, Health Care Policy & Aging Research, Rutgers University, New Brunswick, NJ USA
- School of Social Work, Rutgers University, New Brunswick, NJ USA
| | - Hillary Samples
- Institute for Health, Health Care Policy & Aging Research, Rutgers University, New Brunswick, NJ USA
- School of Public Health, Rutgers University, Piscataway, NJ USA
| | - Richard Hermida
- Institute for Health, Health Care Policy & Aging Research, Rutgers University, New Brunswick, NJ USA
| | - Stephen Crystal
- Institute for Health, Health Care Policy & Aging Research, Rutgers University, New Brunswick, NJ USA
- School of Social Work, Rutgers University, New Brunswick, NJ USA
- School of Public Health, Rutgers University, Piscataway, NJ USA
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Schmid I, Stuart EA, McCourt AD, Tormohlen KN, Stone EM, Davis CS, Bicket MC, McGinty EE. Effects of state opioid prescribing cap laws on opioid prescribing after surgery. Health Serv Res 2022; 57:1154-1164. [PMID: 35801988 PMCID: PMC9441291 DOI: 10.1111/1475-6773.14023] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE To evaluate the effects of state opioid prescribing cap laws on opioid prescribing after surgery. DATA SOURCES OptumLabs Data Warehouse administrative claims data covering all 50 states from July 2012 through June 2019. STUDY DESIGN We included individuals from 20 states that had implemented prescribing cap laws without exemptions for postsurgical pain by June 2019 and individuals from 16 control states plus the District of Columbia. We used a difference-in-differences approach accounting for differential timing in law implementation across states to estimate the effects of state prescribing cap laws on postsurgical prescribing of opioids. Outcome measures included filling an opioid prescription within 30 days after surgery; filling opioid prescriptions of specific doses or durations; and the number, days' supply, daily dose, and pill quantity of opioid prescriptions. To assess the validity of the parallel counterfactual trends assumption, we examined differences in outcome trends between law-implementing and control states in the years preceding law implementation using an equivalence testing framework. DATA COLLECTION/EXTRACTION METHODS We included the first surgery in the study period for opioid-naïve individuals undergoing one of eight common surgical procedures. PRINCIPAL FINDINGS State prescribing cap laws were associated with 0.109 lower days' supply of postsurgical opioids on the log scale (95% Confidence Interval [CI]: -0.139, -0.080) but were not associated with the number (Average treatment effect on the treated [ATT]: -0.011; 95% CI: -0.043, 0.021) or daily dose of postsurgical opioid prescriptions (ATT: -0.013; 95% CI: -0.030, 0.005). The negative association observed between prescribing cap laws and the probability of filling a postsurgical opioid prescription (ATT: -0.041; 95% CI: -0.054, -0.028) was likely spurious, given differences between law-implementing and control states in the pre-law period. CONCLUSIONS Prescribing cap laws appear to have minimal effects on postsurgical opioid prescribing.
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Affiliation(s)
- Ian Schmid
- Department of Mental HealthJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
| | - Elizabeth A. Stuart
- Department of Mental HealthJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
- Department of Health Policy and ManagementJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
- Department of BiostatisticsJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
| | - Alexander D. McCourt
- Department of Health Policy and ManagementJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
| | - Kayla N. Tormohlen
- Department of Health Policy and ManagementJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
| | - Elizabeth M. Stone
- Department of Health Policy and ManagementJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
| | | | - Mark C. Bicket
- Department of AnesthesiologyUniversity of Michigan Medical SchoolAnn ArborMichiganUSA
- Department of Health Policy and ManagementUniversity of Michigan School of Public HealthAnn ArborMichiganUSA
| | - Emma E. McGinty
- Department of Mental HealthJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
- Department of Health Policy and ManagementJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
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Callison K, Karletsos D, Walker B. Opioid prescribing restrictions and opioid use among the Louisiana Medicaid population. THE INTERNATIONAL JOURNAL OF DRUG POLICY 2022; 107:103770. [PMID: 35780564 DOI: 10.1016/j.drugpo.2022.103770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 06/02/2022] [Accepted: 06/14/2022] [Indexed: 10/17/2022]
Abstract
BACKGROUND Most states in the U.S. have enacted prescription opioid quantity limits to curb long-term opioid dependency. While several studies of these policies find reductions in subsequent prescriptions, others find mixed results in reducing overall opioid prescriptions and prescription length. Our objective was to examine three opioid restriction policies implemented in Louisiana Medicaid: (1) a 15-day quantity limit for opioid-naïve acute pain patients, (2) a subsequent further reduction to a 7-day quantity limit and a Morphine Milligram Equivalent Dosing (MME) limit of 120mg per day, and (3) a final reduction in daily MMEs to 90mg per day. METHODS Using interrupted time series (ITS) models with Medicaid pharmacy claims data, we estimated changes in trends of opioid prescription fills associated with opioid restriction policies in Louisiana Medicaid. Outcomes of interest included average opioid prescription length, average MMEs per day, and the likelihood that an opioid-naïve beneficiary who received their first opioid prescription filled a second prescription within 30 or 60 days of their initial fill. RESULTS 15-day and 7-day opioid prescription quantity limits were associated with a 0.720 and a 0.401 day reduction in average opioid prescription lengths. 7-day limits were associated with a 2.7 and a 3.0 percentage point reduction in the likelihood of a second opioid prescription fill within 30 or 60 days of the initial fill. The 120mg per day MME limit was associated with a 0.80 MMEs per day reduction in average daily MMEs. Further restricting daily MMEs to 90mg per day had no statistically significant association with average daily MMEs. CONCLUSION These findings suggest that efforts to limit opioid exposure through the implementation of prescription quantity limits and MME restrictions in Louisiana's Medicaid program were successful and are likely to be associated with a reduction in future opioid dependency among the state's Medicaid population.
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Affiliation(s)
- Kevin Callison
- Department of Health Policy and Management, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States.
| | - Dimitris Karletsos
- Department of Health Policy and Management, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States; Parexel International, Newton, MA, United States
| | - Brigham Walker
- Department of Health Policy and Management, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States; ConcertAI, Cambridge, MA, United States
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