Pain management and sedation/original research
Conversion to Persistent or High-Risk Opioid Use After a New Prescription From the Emergency Department: Evidence From Washington Medicaid Beneficiaries

https://doi.org/10.1016/j.annemergmed.2019.04.007Get rights and content

Study objective

We describe the overall risk and factors associated with transitioning to persistent opioid or high-risk use after an initial emergency department (ED) opioid prescription.

Methods

A retrospective cohort study of Washington Medicaid beneficiaries was performed with linked Medicaid and prescription drug monitoring program files. We identified adults who had no record of opioid prescriptions in the previous 12 months, and who filled a new opioid prescription within 1 day of an ED discharge in 2014. We assessed the risk of persistent opioid use or high-risk prescription fills within 12 months after the index visit. Logistic regression was used to assess the association between pertinent variables and conversion to persistent or high-risk use.

Results

Among 202,807 index ED visits, 23,381 resulted in a new opioid prescription. Of these, 13.7% led to persistent or high-risk opioid prescription fills within 12 months compared with 3.2% for patients who received no opioids at the index visit. Factors associated with increased likelihood of persistent opioid or high-risk prescription fills included a history of skeletal or connective-tissue disorder; neck, back, or dental pain; and a history of prescribed benzodiazepines. The highest conversion rates (37.3%) were observed among visits in which greater than or equal to 350 morphine milligram equivalents were prescribed. Conversion rates remained greater than 10% even among visits resulting in lower-dose opioid prescriptions.

Conclusion

Medicaid recipients are at moderate risk for conversion to persistent or high-risk opioid use after a new ED prescription. Longer or higher-dose prescriptions are associated with increased risk for conversion; however, even visits that lead to guideline-concordant prescriptions bear some risk for long-term or high-risk use.

Introduction

The United States is experiencing an epidemic of prescription drug abuse, according to the Centers for Disease Control and Prevention (CDC), with deaths from opioid use now exceeding that from motor vehicle crashes.1, 2 Deaths from prescription opioids have quadrupled since 1999.3 This epidemic has been associated with increases in opioid sales and prescribing by health care providers, resulting in opioids’ expanded availability and frequent diversion for nonmedical use.4, 5, 6 This epidemic influences metropolitan and nonmetropolitan areas, as well as all racial and ethnic groups.7

Editor’s Capsule Summary

What is already known on this topic

Initial opioid exposure may trigger later use and misuse.

What question this study addressed

How often do factors relate to later high-risk opioid use after emergency department (ED) discharge, and what are they?

What this study adds to our knowledge

According to 2013 to 2015 Washington State Medicaid data, for the 11.5% of patients receiving an opioid prescription within 1 day of discharge, 13.7% received ongoing or high-risk opioid prescribing in the next 12 months compared with 3.2% without initial exposure. Larger initial dosing (starting at a prescription ≥150 morphine milligram equivalents) had the most effect.

How this is relevant to clinical practice

Candidates for opioids at ED discharge, especially in higher doses, are at higher risk of later use, although the appropriate response to this observation is uncertain.

Long-term opioid use often starts with treatment for an acute, painful injury or condition.8 In a large representative national sample of patients without cancer who received a new opioid prescription (opioid naive), the likelihood of persistent opioid use increased with each additional day of medication supplied, starting with the third day.9 Approximately 8% of opioid-naive patients who were prescribed opioids within 7 days of short-stay surgery were still receiving opioids 1 year later.10 After a new opioid prescription for wisdom tooth extraction, conversion to persistent use occurred at a rate of 13 per 1,000 patients with private medical insurance.11 Until recently, it was believed that patients prescribed opioids for an acute problem were unlikely to develop drug abuse or addiction.12, 13 Systematic reviews indicate that the evidence for that opinion would not meet current scientific standards.14, 15

Acute care settings, including emergency departments (EDs), are those in which clinicians and their patients must navigate between addressing pain and preventing the misuse of opioid pain medication. Prevention may be the key to addressing the epidemic because once opioid use disorder occurs, only 1 in 10 Americans receives treatment, and current treatment approaches demonstrate low rates of success.16 Emergency providers care for victims of opioid overdose, abuse, and misuse every day. Paradoxically, in terms of number of prescriptions they are also among the top prescribers of opioid medication for patients younger than 40 years.17 The risk of long-term opioid use after a first prescription for acute pain from the ED has been explored: Hoppe et al18 demonstrated that among opioid-naive patients receiving an ED opioid prescription, 12% had more opioids prescribed at 1 year. Barnett et al19 analyzed a cohort of Medicare patient visits and documented a conversion rate to persistent use between 1.2% and 1.5% after a new ED prescription. Among young adults, use of opioids through a single legitimate prescrition in high school was associated with a 33% increase in the risk of subsequent opioid misuse in a cohort followed to adulthood.20 Additional studies have identified that ED overdose patients and heroin users frequently report that their initial exposure to opioids came from an ED prescription.21 With 42% of ED visits related to pain—combined with provider quality measures that include adequacy of pain treatment and patient satisfaction—there has been documented pressure for emergency providers to prescribe opioids to their patients.22 As safety-net providers for a vulnerable population without primary care access or continuity of care, emergency providers have embraced the responsibility for bridging patients from acute injury to follow-up care, including providing pain medications when patients cannot access traditional primary care providers for treatment of pain.

Current policies and guidelines include placing absolute limits on opioid prescription quantities and mandating provider use or enrollment with prescription drug monitoring programs to identify previous, overlapping, or high-risk prescription fills.23 However, these policies do not consider new or low-dose opioid prescriptions. And for some individuals, even small-quantity prescriptions can lead to long-term or high-risk opioid use.9 Therefore, such policy interventions may not identify or protect patients for whom a new prescription for opioids may pose increased risk for conversion to long-term opioid use.

We sought to describe independent risk factors for transitioning to persistent opioid or high-risk prescription fills after an initial ED opioid prescription.

Section snippets

Study Design and Setting

A retrospective cohort study of Washington State Medicaid beneficiaries was performed with data collected between January 1, 2013, and December 31, 2015. Data included enrollment and medical claims for Medicaid enrollees in Washington State linked to prescription drug monitoring program files containing information about all dispensed controlled substances. The creation of this data set has been described elsewhere.24

Selection of Participants

The study population included residents of Washington State who were enrolled

Results

We identified 23,381 ED visits made by qualifying opioid-naive Medicaid patients who filled an opioid prescription that was written within 1 day of the ED visit. Table 1 describes patient- and visit-level characteristics stratified by conversion to persistent or high-risk opioid use. The population studied was young (median age 32 years), aged predominantly between 18 and 39 years (57.5%), women (57.6%), white (62.0%), and covered by a Medicaid managed care insurance plan (91.7%). A specific

Limitations

We sought to limit the study to opioid-naive ED visits during which a new opioid prescription was written and subsequently filled. It is possible some of the index ED visit prescriptions did not originate at that time. We attempted to minimize this potential misclassification by limiting index prescriptions to those that were written within 1 day after the ED visit and by conducting sensitivity analyses that included exact match on index prescription date (Table E1, available online at //www.annemergmed.com

Discussion

In this study of a large cohort of Medicaid patients, 13.7% of those who filled a new opioid prescription within 1 day of an ED visit converted to persistent or high-risk opioid prescription fills within 12 months. This conversion rate stands in stark contrast to the 3.2% conversion rate among visits in which no opioids were prescribed. Patient-level characteristics such as a history of skeletal and connective tissue disorder, a history of opioid use disorder, a history of anxiety, a diagnosis

References (55)

  • L. Paulozzi et al.

    Lessons from the past

    Inj Prev

    (2012)
  • Underlying cause of death 1999-2014 on CDC WONDER online database

  • R.M. Califf et al.

    A proactive response to prescription opioid abuse

    N Engl J Med

    (2016)
  • J.E. Holman et al.

    Rates of prescription opiate use before and after injury in patients with orthopaedic trauma and the risk factors for prolonged opiate use

    J Bone Joint Surg Am

    (2013)
  • L. Manchikanti et al.

    Therapeutic use, abuse, and nonmedical use of opioids: a ten-year perspective

    Pain Physician

    (2010)
  • R.A. Rudd et al.

    Increases in drug and opioid overdose deaths—United States, 2000-2014

    MMWR Morb Mortal Wkly Rep

    (2015)
  • M.J. Edlund et al.

    The role of opioid prescription in incident opioid abuse and dependence among individuals with chronic non-cancer pain

    Clin J Pain

    (2014)
  • A. Shah et al.

    Characteristics of initial prescription episodes and likelihood of long-term opioid use—United States, 2006-2015

    MMWR Morb Mortal Wkly Rep

    (2017)
  • A. Alam et al.

    Long-term analgesic use after low-risk surgery: a retrospective cohort study

    Arch Intern Med

    (2012)
  • C.M. Harbaugh et al.

    Persistent opioid use after wisdom tooth extraction

    Ann Intern Med

    (2010)
  • J. Porter et al.

    Addiction rare in patients treated with narcotics

    N Engl J Med

    (1980)
  • J.C. Ballantyne

    “Safe and effective when used as directed”: the case of chronic use of opioid analgesics

    J Med Toxicol

    (2012)
  • R.N. Harden et al.

    Chronic opioid therapy: another reappraisal

    Am Pain Soc Bull

    (2002)
  • R.D. Weiss et al.

    Adjunctive counseling during brief and extended buprenorphine-naloxone treatment for prescription opioid dependence: a 2-phase randomized controlled trial

    Arch Gen Psychiatry

    (2011)
  • N.D. Volkow et al.

    Characteristics of opioid prescriptions in 2009

    JAMA

    (2011)
  • J.A. Hoppe et al.

    Association of emergency department opioid initiation with recurrent opioid use

    Ann Emerg Med

    (2015)
  • M.L. Barnett et al.

    Opioid-prescribing patterns of emergency physicians and risk of long-term use

    N Engl J Med

    (2017)
  • Cited by (43)

    • Patterns of opioid prescribing in emergency departments during the early phase of the COVID-19 pandemic

      2022, American Journal of Emergency Medicine
      Citation Excerpt :

      It is unclear whether a pattern of increasing ED opioid prescriptions during the pandemic would be a direct cause of increased opioid overdose presentations. While there is evidence that opioids prescribed in the ED carry a moderate risk for development of long-term opioid use [20], ED opioid prescriptions were 46% less likely to progress to long-term use than non-ED opioid prescriptions (eg. inpatient, outpatient, ambulatory surgery, dentistry) [21]. In the state of Maryland, 93% of opioid-related deaths involved fentanyl [22], which may suggest illicit opioids play a larger role in overdose presentations and deaths than prescribed opioids.

    • Opioid Prescribing in United States Health Systems, 2015 to 2019

      2021, Value in Health
      Citation Excerpt :

      We used units dispensed as a measure of use and not MME, which is a more accurate measure of different opioid strength. Health systems are an important source for opioids for patients which has been associated with persistent opioid use.11–15 Therefore, our results have important public health implications as the US continues to combat the opioid epidemic.

    • Risk and protective factors for cannabis, cocaine, and opioid use disorders: An umbrella review of meta-analyses of observational studies

      2021, Neuroscience and Biobehavioral Reviews
      Citation Excerpt :

      While cannabis dependence has not been linked to increased mortality (Degenhardt et al., 2013a), cocaine and opioid use disorders are ultimately associated with more than 600,000 DALYs and 320,000 DALYs due to suicide, respectively (Degenhardt et al., 2013b), in addition to an increased risk of infectious diseases, and overall death rates (Farrell et al., 2019). Several original studies have investigated putative risk or protective factors for cannabis (Soler Artigas et al., 2019; Verweij et al., 2018), cocaine (Keyes et al., 2016), and opioid use disorders (Cragg et al., 2019; Meisel et al., 2019). However, replicating findings of individual studies across different settings, and pooling them in systematic reviews and meta-analyses provide a higher level of evidence (Murad et al., 2016).

    View all citing articles on Scopus

    Please see page 612 for the Editor’s Capsule Summary of this article.

    Supervising editor: Donald M. Yealy, MD. Specific detailed information about possible conflict of interest for individual editors is available at https://www.annemergmed.com/editors.

    Author contributions: ZFM and BS conceived the study and obtained research funding. ZFM, NLM, CJC, HK, and BS conceived of the analysis plan. BS and CJC supervised the data collection, data management, and quality control. NLM, CDC, and HK provided statistical advice and analyzed the data. ZFM and BS drafted the manuscript and all authors contributed substantially to its revision. ZFM takes responsibility for the manuscript as a whole.

    All authors attest to meeting the four ICMJE.org authorship criteria: (1) Substantial contributions to the conception or design of the work; or the acquisition, analysis, or interpretation of data for the work; AND (2) Drafting the work or revising it critically for important intellectual content; AND (3) Final approval of the version to be published; AND (4) Agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

    Funding and support: By Annals policy, all authors are required to disclose any and all commercial, financial, and other relationships in any way related to the subject of this article as per ICMJE conflict of interest guidelines (see www.icmje.org). This study was supported by National Institutes of Health (NIH) grants R01DA036522 (Sun) and P30DA040500 (Meisel). This study was also supported by the Patient Centered Outcomes Research Institute (PCORI) DR-1511-33496 (Meisel) and the US Centers for Disease Control R49CE00247 (Meisel).

    The funding organization had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the article. The contents do not necessarily represent the official views of the NIH.

    Readers: click on the link to go directly to a survey in which you can provide feedback to Annals on this particular article.

    A podcast for this article is available at www.annemergmed.com.

    View full text