Conversion to Persistent or High-Risk Opioid Use After a New Prescription From the Emergency Department: Evidence From Washington Medicaid Beneficiaries

Association of Race and Ethnicity With Postoperative Gabapentinoid and Opioid Prescribing Trends for Older Adults

BACKGROUND

Disparities in opioid prescribing by race/ethnicity have been described in many healthcare settings, with White patients being more likely to receive an opioid prescription than other races studied. As surgeons increase prescribing of nonopioid medications in response to the opioid epidemic, it is unknown whether postoperative prescribing disparities also exist for these medications, specifically gabapentinoids.

METHODS

We conducted a retrospective cohort study using a 20% Medicare sample for 2013-2018. We included patients ≥66 years without prior gabapentinoid use who underwent one of 14 common surgical procedures. The primary outcome was the proportion of patients prescribed gabapentinoids at discharge among racial and ethnic groups. Secondary outcomes were days' supply of gabapentinoids, opioid prescribing at discharge, and oral morphine equivalent (OME) of opioid prescriptions. Trends over time were constructed by analyzing proportion of postoperative prescribing of gabapentinoids and opioids for each year. For trends by year by racial/ethnic groups, we ran a multivariable logistic regression with an interaction term of procedure year and racial/ethnic group.

RESULTS

Of the 494,922 patients in the cohort (54% female, 86% White, 5% Black, 5% Hispanic, mean age 73.7 years), 3.7% received a new gabapentinoid prescription. Gabapentinoid prescribing increased over time for all groups and did not differ significantly among groups (P = 0.13). Opioid prescribing also increased, with higher proportion of prescribing to White patients than to Black and Hispanic patients in every year except 2014.

CONCLUSIONS

We found no significant prescribing variation of gabapentinoids in the postoperative period between racial/ethnic groups. Importantly, we found that despite national attention to disparities in opioid prescribing, variation continues to persist in postoperative opioid prescribing, with a higher proportion of White patients being prescribed opioids, a difference that persisted over time.

Trends in Opioid and Nonsteroidal Anti-Inflammatory Drug Use for Patients with Kidney Stones in United States Emergency Departments from 2015 to 2021

Introduction: Renal colic is frequently treated with opioids; however, narcotic analgesic use can lead to dependence and abuse. We evaluated use trends of opioids and nonsteroidal anti-inflammatory drugs (NSAIDs) for pain management of kidney stones in United States emergency departments (EDs) from 2015 to 2021. Methods: Kidney stone encounters were identified using National Hospital Ambulatory Medical Care Survey data. We applied a multistage survey weighting procedure to account for selection probability, nonresponse, and population weights. Medication use trends were estimated through logistic regressions on the timing of the encounter, adjusted for selected demographic and clinical characteristics. Results: Between 2015 and 2021, there were an estimated 9,433,291 kidney stone encounters in United States EDs. Opioid use decreased significantly (annual odds ratio [OR]: 0.87, p = 0.003), and there was no significant trend in NSAID use. At discharge, male patients were more likely than females (OR: 1.93, p = 0.001) to receive opioids, and Black patients were less likely than White patients (OR: 0.34, p = 0.010) to receive opioids. Regional variation was also observed, with higher odds of discharge prescriptions in the West (OR: 3.15, p = 0.003) and Midwest (OR: 2.49, p = 0.010), compared with the Northeast. Thirty-five percent of patients received opioids that were stronger than morphine. Conclusion: These results suggest improved opioid stewardship from ED physicians in response to the national opioid epidemic. However, regional variation as well as disparities in discharge prescriptions for Black and female patients underscore opportunities for continued efforts.

Opioid therapy trajectories of patients with chronic non-cancer pain over 1 year of follow-up after initiation of short-acting opioid formulations

OBJECTIVE

This study compared opioid utilization trajectories of persons initiating tramadol, short-acting hydrocodone, or short-acting oxycodone, and it characterized opioid dose trajectories and type of opioid in persistent opioid therapy subsamples.

METHODS

A retrospective cohort study of adults with chronic non-cancer pain who were initiating opioid therapy was conducted with the IQVIA PharMetrics® Plus for Academics data (2008-2018). Continuous enrollment was required for 6 months before ("baseline") and 12 months after ("follow-up") the first opioid prescription ("index date"). Opioid therapy measures were assessed every 7 days over follow-up. Group-based trajectory modeling (GBTM) was used to identify trajectories for any opioid and total morphine milligram equivalent measures, and longitudinal latent class analysis was used for opioid therapy type.

RESULTS

A total of 40 276 tramadol, 141 023 hydrocodone, and 45 221 oxycodone initiators were included. GBTM on any opioid therapy identified 3 latent trajectories: early discontinuers (tramadol 39.0%, hydrocodone 54.1%, oxycodone 61.4%), late discontinuers (tramadol 37.9%, hydrocodone 39.4%, oxycodone 33.3%), and persistent therapy (tramadol 6.7%, hydrocodone 6.5%, oxycodone 5.3%). An additional fourth trajectory, intermittent therapy (tramadol 16.4%), was identified for tramadol initiators. Of those on persistent therapy, 2687 individuals were on persistent therapy with tramadol, 9169 with hydrocodone, and 2377 with oxycodone. GBTM on opioid dose resulted in 6 similar trajectory groups in each persistent therapy group. Longitudinal latent class analysis on opioid therapy type identified 6 latent classes for tramadol and oxycodone and 7 classes for hydrocodone.

CONCLUSION

Opioid therapy patterns meaningfully differed by the initial opioid prescribed, notably the presence of intermittent therapy among tramadol initiators and higher morphine milligram equivalents and prescribing of long-acting opioids among oxycodone initiators.

Leveraging a Learning Collaborative Model to Develop and Pilot Quality Measures to Improve Opioid Prescribing in the Emergency Department

The American College of Emergency Physicians (ACEP) Emergency Medicine Quality Network (E-QUAL) Opioid Initiative was launched in 2018 to advance the dissemination of evidence-based resources to promote the care of emergency department (ED) patients with opioid use disorder. This virtual platform-based national learning collaborative includes a low-burden, structured quality improvement project, data benchmarking, tailored educational content, and resources designed to support a nationwide network of EDs with limited administrative and research infrastructure. As a part of this collaboration, we convened a group of experts to identify and design a set of measures to improve opioid prescribing practices to provide safe analgesia while reducing opioid-related harms. We present those measures here, alongside initial performance data on those measures from a sample of 370 nationwide community EDs participating in the 2019 E-QUAL collaborative. Measures include proportion of opioid administration in the ED, proportion of alternatives to opioids as first-line treatment, proportion of opioid prescription, opioid pill count per prescription, and patient medication safety education among ED visits for atraumatic back pain, dental pain, or headache. The proportion of benzodiazepine and opioid coprescribing for ED visits for atraumatic back pain was also evaluated. This project developed and effectively implemented a collection of 6 potential measures to evaluate opioid analgesic prescribing across a national sample of community EDs, representing the first feasibility assessment of opioid prescribing-related measures from rural and community EDs.

Identifying Patient Characteristics Associated With Opioid Use to Inform Surgical Pain Management

Objective

Balancing surgical pain management and opioid stewardship is complex. Identifying patient-level variables associated with low or no use can inform tailored prescribing.

Methods

A prospective, observational study investigating surgical procedures, prescription data, and patient-reported outcomes at an academic health system in Pennsylvania. Surgical patients were consented following surgery, and prospective data were captured using automated text messaging (May 1, 2021-February 29, 2022). The primary outcome was opioid use.

Results

Three thousand six hundred three (30.2%) patients consented. Variation in patient reported used included 28.1% of men reported zero use versus 24.3% of women, 20.5% of Black patients reported zero use versus 27.2% of white patients. Opioid-naïve patients reported more zero use as compared with chronic use (29.7% vs 9.8%). Patients reporting higher use had more telephone calls and office visits within 30 days but no change in emergency department utilization or admissions. Higher discharge pain score was associated with higher use. In the adjusted analysis, opioid use relative to the guideline, higher use was associated with age, male sex, obesity, discharge pain score, and history of mental health disorder. In the adjusted model, younger age and being opioid-naïve to be associated with low to zero use across procedures.

Conclusions

Younger age, being opioid-naïve, and lower discharge pain score are associated with low or no postoperative opioid use. These characteristics can be used by clinicians to help tailor opioid prescribing to specific patients to reduce the risk of prolonged exposure and unused `ts in the community.

Continued Opioid Use and Adverse Events Following Provision of Opioids for Musculoskeletal Pain in the Emergency Department: A Systematic Review and Meta-Analysis

BACKGROUND

The prevalence of continued opioid use or serious adverse events (SAEs) following opioid therapy in the emergency department (ED) for musculoskeletal pain is unclear. The aim of this review was to examine the prevalence of continued opioid use and serious adverse events (SAEs) following the provision of opioids for musculoskeletal pain in the emergency department (ED) or at discharge.

METHODS

Records were searched from MEDLINE, EMBASE and CINAHL from inception to 7 October 2022. We included randomised controlled trials and observational studies enrolling adult patients with musculoskeletal pain who were administered and/or prescribed opioids in the ED. Continued opioid use and opioid misuse data after day 4 since ED discharge were extracted. Adverse events were coded using the Common Terminology Criteria for Adverse Events (CTCAE), and those rated as grades 3-4 (severe or life-threatening) and grade 5 (death) were considered SAEs. Risk of bias was assessed using the Quality in Prognosis Studies (QUIPS) tool.

RESULTS

Seventy-two studies were included. Among opioid-naïve patients who received an opioid prescription, 6.8-7.0% reported recent opioid use at 3-12 months after discharge, 4.4% filled ≥ 5 opioid prescriptions and 3.1% filled > 90-day supply of opioids within 6 months. The prevalence of SAEs was 0.02% [95% confidence interval (CI) 0, 0.2%] in the ED and 0.1% (95% CI 0, 1.5%) within 2 days. One study observed 42.9% of patients misused opioids within 30 days after discharge.

CONCLUSIONS

Around 7% of opioid-naïve patients with musculoskeletal pain receiving opioid therapy continue opioid use at 3-12 months after ED discharge. SAEs following ED administration of an opioid were uncommon; however, studies only monitored patients for 2 days.

PROTOCOL REGISTRATION

10.31219/osf.io/w4z3u.

Disparities in emergency department and urgent care opioid prescribing before and after randomized clinician feedback interventions

OBJECTIVES

Racial and ethnic minorities receive opioid prescriptions at lower rates and dosages than White patients. Though opioid stewardship interventions can improve or exacerbate these disparities, there is little evidence about these effects. We conducted a secondary analysis of a cluster-randomized controlled trial conducted among 438 clinicians from 21 emergency departments and 27 urgent care clinics. Our objective was to determine whether randomly allocated opioid stewardship clinician feedback interventions that were designed to reduce opioid prescriptions had unintended effects on disparities in prescribing by patient race and ethnicity.

METHODS

The primary outcome was likelihood of receiving a low-pill prescription (low ≤10 pills, medium 11-19 pills, high ≥20 pills). Generalized mixed-effects models were used to determine patient characteristics associated with low-pill prescriptions during the baseline period. These models were then used to determine whether receipt of a low-pill prescription varied by patient race or ethnicity during the intervention period between usual care and three opioid stewardship interventions: (1) individual audit feedback, (2) peer comparison feedback, and (3) combined (individual audit + peer comparison) feedback.

RESULTS

Compared with White patients, Black patients were more likely to receive a low-pill prescription during the baseline (adjusted odds ratio [OR] 1.18, 95% confidence interval [CI] 1.06-1.31, p = 0.002) and intervention (adjusted OR 1.43, 95% CI 1.07-1.91, p = 0.015). While combined feedback was associated with an overall increase in low-pill prescriptions as intended (adjusted OR 1.89, 95% CI 1.28-2.78, p = 0.001), there were no significant differences in treatment effects of any of the interventions by patient race and ethnicity.

CONCLUSIONS

Combined individual audit and peer comparison feedback was associated with fewer opioid pills per prescription equally by patient race and ethnicity. However, the intervention did not significantly close the baseline disparity in prescribing by race.

Postoperative Opioid Prescribing and New Persistent Opioid Use: The Risk of Excessive Prescribing

OBJECTIVE

Evaluate the association between postoperative opioid prescribing and new persistent opioid use.

SUMMARY BACKGROUND DATA

Opioid-nave patients who develop new persistent opioid use after surgery are at increased risk of opioid-related morbidity and mortality. However, the extent to which postoperative opioid prescribing is associated with persistent postoperative opioid use is unclear.

METHODS

Retrospective study of opioid-naïve adults undergoing surgery in Michigan from 1/1/2017 to 10/31/2019. Postoperative opioid prescriptions were identified using a statewide clinical registry and prescription fills were identified using Michigan's prescription drug monitoring program. The primary outcome was new persistent opioid use, defined as filling at least 1 opioid prescription between post-discharge days 4 to 90 and filling at least 1 opioid prescription between post-discharge days 91 to 180.

RESULTS

A total of 37,654 patients underwent surgery with a mean age of 52.2 (16.7) years and 20,923 (55.6%) female patients. A total of 31,920 (84.8%) patients were prescribed opioids at discharge. Six hundred twenty-two (1.7%) patients developed new persistent opioid use after surgery. Being prescribed an opioid at discharge was not associated with new persistent opioid use [adjusted odds ratio (aOR) 0.88 (95% confidence interval (CI) 0.71-1.09)]. However, among patients prescribed an opioid, patients prescribed the second largest [12 (interquartile range (IQR) 3) pills] and largest [20 (IQR 7) pills] quartiles of prescription size had higher odds of new persistent opioid use compared to patients prescribed the smallest quartile [7 (IQR 1) pills] of prescription size [aOR 1.39 (95% CI 1.04-1.86) andaOR 1.97 (95% CI 1.442.70), respectively].

CONCLUSIONS

In a cohort of opioid-naïve patients undergoing common surgical procedures, the risk of new persistent opioid use increased with the size of the prescription. This suggests that while opioid prescriptions in and of themselves may not place patients at risk of long-term opioid use, excessive prescribing does. Consequently, these findings support ongoing efforts to mitigate excessive opioid prescribing after surgery to reduce opioid-related harms.

Variation in prescribing of opioids for emergency department encounters: A cohort study in the Military Health System

RATIONALE, AIMS AND OBJECTIVES: Emergency department (ED) clinicians account for approximately 13% of all opioid prescriptions to opioid-naïve patients and variability in the rates of prescribing have been noted among individual clinicians and different EDs. This study elucidates the amount of variability within a unified health system (the U.S. Military Health System [MHS]) with the expectation that understanding the sources of variability will enable health system leaders to improve the quality of decision making.

METHODS

The design was a retrospective cohort study examining variation in opioid prescribing within EDs of the US MHS. Participants were Army soldiers who returned from a deployment and received care between October 2009 and September 2016. The exposure was ED encounters at a military treatment facility. Key measures were the proportion of ED encounters with an opioid prescription fill; total opioid dose of the fill (morphine milligram equivalent, MME); and total opioid days-supply of the fill.

RESULTS

The mean proportion of ED encounters with an opioid fill across providers was 19.7% (SD 8.8%), median proportion was 18.6%, and the distribution was close to symmetric with the 75th percentile provider prescribing opioids in 24.6% of their ED encounters and the 25th percentile provider prescribing in 13.4% of their encounters. The provider-level mean opioid dose per encounter was 113.1 MME (SD 56.0) with the 75th percentile (130.1) 50% higher than the 25th percentile (87.4). The mean opioid supply per encounter was 6.8 days (SD 3.9) with more than a twofold ratio between the 75th percentile (8.3) and the 25th (4.1). Using a series of multilevel regression models to examine opioid fills associated with ED encounters and their dose levels, the variation among providers within facilities was much larger in magnitude than the variation among facilities.

CONCLUSION

Among ED encounters of Army soldiers at military treatment facilities, there was substantial variation among providers in prescribing opioid prescriptions that were not explained by patient case-mix. These results suggest that programmes and protocols to address less than optimal prescribing in the ED should be initiated to improve the quality of care.

Prescription quantity and duration predict progression from acute to chronic opioid use in opioid-naïve Medicaid patients

Opiates used for acute pain are an established risk factor for chronic opioid use (COU). Patient characteristics contribute to progression from acute opioid use to COU, but most are not clinically modifiable. To develop and validate machine-learning algorithms that use claims data to predict progression from acute to COU in the Medicaid population, Adult opioid naïve Medicaid patients from 6 anonymized states who received an opioid prescription between 2015 and 2019 were included. Five machine learning (ML) Models were developed, and model performance assessed by area under the receiver operating characteristic curve (auROC), precision and recall. In the study, 29.9% (53820/180000) of patients transitioned from acute opioid use to COU. Initial opioid prescriptions in COU patients had increased morphine milligram equivalents (MME) (33.2 vs. 23.2), tablets per prescription (45.6 vs. 36.54), longer prescriptions (26.63 vs 24.69 days), and higher proportions of tramadol (16.06% vs. 13.44%) and long acting oxycodone (0.24% vs 0.04%) compared to non- COU patients. The top performing model was XGBoost that achieved average precision of 0.87 and auROC of 0.63 in testing and 0.55 and 0.69 in validation, respectively. Top-ranking prescription-related features in the model included quantity of tablets per prescription, prescription length, and emergency department claims. In this study, the Medicaid population, opioid prescriptions with increased tablet quantity and days supply predict increased risk of progression from acute to COU in opioid-naïve patients. Future research should evaluate the effects of modifying these risk factors on COU incidence.

Serious opioid-related adverse outcomes associated with opioids prescribed by dentists

ABSTRACT

Although nonsteroidal anti inflammatory drugs are superior to opioids in dental pain management, opioids are still prescribed for dental pain in the United States. Little is known about the serious adverse outcomes of short-acting opioids within the context of dental prescribing. The objective of this study was to evaluate adverse outcomes and persistent opioid use (POU) after opioid prescriptions by dentists, based on whether opioids were overprescribed or within recommendations. A cross-sectional analysis of adults with a dental visit and corresponding opioid prescription (index) from 2011 to 2018 within a nationwide commercial claims database was conducted. Opioid overprescribing was defined as >120 morphine milligram equivalents per Centers for Disease Control and Prevention guidelines. Generalized estimating equation models were used to assess adverse outcomes (emergency department visits, hospitalizations, newly diagnosed substance use disorder, naloxone administration, or death within 30 days from index) and POU (≥1 prescription 4-90 days postindex). Predicted probabilities are reported. Of 633,387 visits, 2.6% experienced an adverse outcome and 16.6% had POU. Adverse outcome risk was not different whether opioids were overprescribed or within recommendations (predicted probability 9.0%, confidence interval [CI]: 8.0%-10.2% vs 9.1%, CI: 8.1-10.3), but POU was higher when opioids were overprescribed (predicted probability 27.4%, CI: 26.1%-28.8% vs 25.2%, CI: 24.0%-26.5%). Visits associated with mild pain and those with substance use disorders had the highest risk of both outcomes. Findings from this study demonstrate that dental prescribing of opioids was associated with adverse outcomes and POU, even when prescriptions were concordant with guidelines. Additional efforts are required to improve analgesic prescribing in dentistry, especially in groups at high risk of opioid-related adverse outcomes.

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

Introduction

The COVID-19 pandemic was superimposed upon an ongoing epidemic of opioid use disorder and overdose deaths. Although the trend of opioid prescription patterns (OPP) had decreased in response to public health efforts before the pandemic, little is known about the OPP from emergency department (ED) clinicians during the COVID-19 pandemic.

Methods

We conducted a pre-post study of adult patients who were discharged from 13 EDs and one urgent care within our academic medical system between 01/01/2019 and 09/30/2020 using an interrupted time series (ITS) approach. Patient characteristics and prescription data were extracted from the single unified electronic medical record across all study sites. Prescriptions of opioids were converted into morphine equivalent dose (MED). We compared the “Covid-19 Pandemic” period (C19, 03/29/2020–9/30/2020) and the “Pre-Pandemic” period (PP, 1/19/2020–03/28/2020). We used a multivariate logistic regression to assess clinical factors associated with opioid prescriptions.

Results

We analyzed 361,794 ED visits by adult patients, including 259,242 (72%) PP and 102,552 (28%) C19 visits. Demographic information and percentages of patients receiving opioid prescriptions were similar in both groups. The median [IQR] MED per prescription was higher for C19 patients (70 [56–90]) than for PP patients (60 [60–90], P < 0.001). ITS demonstrated a significant trend toward higher MED prescription per ED visit during the pandemic (coefficient 0.11, 95% CI 0.05–0.16, P = 0.002). A few factors, that were associated with lower likelihood of opioid prescriptions before the pandemic, became non-significant during the pandemic.

Conclusion

Our study demonstrated that emergency clinicians increased the prescribed amount of opioids per prescription during the COVID-19 pandemic compared to the pre-pandemic period. Etiologies for this finding could include lack of access to primary care and other specialties during the pandemic, or lower volumes allowing for emergency clinicians to identify who is safe to be prescribed opioids.

Guidelines for Reasonable and Appropriate Care in the Emergency Department 2 (GRACE-2): Low-risk, recurrent abdominal pain in the emergency department

This second Guideline for Reasonable and Appropriate Care in the Emergency Department (GRACE-2) from the Society for Academic Emergency Medicine is on the topic "low-risk, recurrent abdominal pain in the emergency department." The multidisciplinary guideline panel applied the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach to assess the certainty of evidence and strength of recommendations regarding four priority questions for adult emergency department patients with low-risk, recurrent, undifferentiated abdominal pain. The intended population includes adults with multiple similar presentations of abdominal signs and symptoms recurring over a period of months or years. The panel reached the following recommendations: (1) if a prior negative computed tomography of the abdomen and pelvis (CTAP) has been performed within 12 months, there is insufficient evidence to accurately identify populations in whom repeat CTAP imaging can be safely avoided or routinely recommended; (2) if CTAP with IV contrast is negative, we suggest against ultrasound unless there is concern for pelvic or biliary pathology; (3) we suggest that screening for depression and/or anxiety may be performed during the ED evaluation; and (4) we suggest an opioid-minimizing strategy for pain control. EXECUTIVE SUMMARY: The GRACE-2 writing group developed clinically relevant questions to address the care of adult patients with low-risk, recurrent, previously undifferentiated abdominal pain in the emergency department (ED). Four patient-intervention-comparison-outcome-time (PICOT) questions were developed by consensus of the writing group, who performed a systematic review of the literature and then synthesized direct and indirect evidence to formulate recommendations, following GRADE methodology. The writing group found that despite the commonality and relevance of these questions in emergency care, the quantity and quality of evidence were very limited, and even fundamental definitions of the population and outcomes of interest are lacking. Future research opportunities include developing precise and clinically relevant definitions of low-risk, recurrent, undifferentiated abdominal pain and determining the scope of the existing populations in terms of annual national ED visits for this complaint, costs of care, and patient and provider preferences.

Opioid prescribing in out-of-hours primary care in Flanders and the Netherlands: A retrospective cross-sectional study

Background

Increased opioid prescribing has raised concern, as the benefits of pain relief not always outweigh the risks. Acute and chronic pain is often treated in a primary care out-of-hours (OOH) setting. This setting may be a driver of opioid use but the extent to which opioids are prescribed OOH is unknown. We aimed to investigate weak and strong opioid prescribing at OOH primary care services (PCS) in Flanders (Northern, Dutch-speaking part of Belgium) and the Netherlands between 2015 and 2019.

Methods

We performed a retrospective cross sectional study using data from routine electronic health records of OOH-PCSs in Flanders and the Netherlands (2015–2019). Our primary outcome was the opioid prescribing rate per 1000 OOH-contacts per year, in total and for strong (morphine, hydromorphone, oxycodone, oxycodone and naloxone, fentanyl, tapentadol, and buprenorphine and weak opioids (codeine combinations and tramadol and combinations) and type of opioids separately.

Results

Opioids were prescriped in approximately 2.5% of OOH-contacts in both Flanders and the Netherlands. In Flanders, OOH opioid prescribing went from 2.4% in 2015 to 2.1% in 2017 and then increased to 2.3% in 2019. In the Netherlands, opioid prescribing increased from 1.9% of OOH-contacts in 2015 to 2.4% in 2017 and slightly decreased thereafter to 2.1% of OOH-contacts. In 2019, in Flanders, strong opioids were prescribed in 8% of the OOH-contacts with an opioid prescription. In the Netherlands a strong opioid was prescribed in 57% of these OOH-contacts. Two thirds of strong opioids prescriptions in Flanders OOH were issued for patients over 75, in the Netherlands one third was prescribed to this age group.

Conclusion

We observed large differences in strong opioid prescribing at OOH-PCSs between Flanders and the Netherlands that are likely to be caused by differences in accessibility of secondary care, and possibly existing opioid prescribing habits. Measures to ensure judicious and evidence-based opioid prescribing need to be tailored to the organisation of the healthcare system.

The Effect Of Clinician Feedback Interventions On Opioid Prescribing

An initial opioid prescription with a greater number of pills is associated with a greater risk for future long-term opioid use, yet few interventions have reliably influenced individual clinicians' prescribing. Our objective was to evaluate the effect of feedback interventions for clinicians in reducing opioid prescribing. The interventions included feedback on a clinician's outlier prescribing (individual audit feedback), peer comparison, and both interventions combined. We conducted a four-arm factorial pragmatic cluster randomized trial at forty-eight emergency department (ED) and urgent care (UC) sites in the western US, including 263 ED and 175 UC clinicians with 294,962 patient encounters. Relative to usual care, there was a significant decrease in pills per prescription both for peer comparison feedback (-0.8) and for the combination of peer comparison and individual audit feedback (-1.2). This decrease was sustained during follow-up. There were no significant changes for individual audit feedback alone, and no interventions changed the proportion of encounters with an opioid prescription.

A Multicentered Randomized Controlled Trial Comparing the Effectiveness of Pain Treatment Communication Tools in Emergency Department Patients With Back or Kidney Stone Pain

Objectives. To compare the effectiveness of 3 approaches for communicating opioid risk during an emergency department visit for a common painful condition. Methods. This parallel, multicenter randomized controlled trial was conducted at 6 geographically disparate emergency department sites in the United States. Participants included adult patients between 18 and 70 years of age presenting with kidney stone or musculoskeletal back pain. Participants were randomly assigned to 1 of 3 risk communication strategies: (1) a personalized probabilistic risk visual aid, (2) a visual aid and a video narrative, or 3) general risk information. The primary outcomes were accuracy of risk recall, reported opioid use, and treatment preference at time of discharge. Results. A total of 1301 participants were enrolled between June 2017 and August 2019. There was no difference in risk recall at 14 days between the narrative and probabilistic groups (43.7% vs 38.8%; absolute risk reduction = 4.9%; 95% confidence interval [CI] = -2.98, 12.75). The narrative group had lower rates of preference for opioids at discharge than the general risk information group (25.9% vs 33.0%; difference = 7.1%; 95% CI = 0.64, 0.97). There were no differences in reported opioid use at 14 days between the narrative, probabilistic, and general risk groups (10.5%, 10.3%, and 13.3%, respectively; P = .44). Conclusions. An emergency medicine communication tool incorporating probabilistic risk and patient narratives was more effective than general information in mitigating preferences for opioids in the treatment of pain but was not more effective with respect to opioid use or risk recall. Trial Registration. Clinical Trials.gov identifier: NCT03134092. (Am J Public Health. 2022;112(S1):S45-S55. https://doi.org/10.2105/AJPH.2021.306511).

New persistent opioid use after surgery in patients with a history of remote opioid use

BACKGROUND

Postoperative pain management is particularly challenging in patients using opioids preoperatively, but previous studies have not stratified patients not using opioids at the time of surgery according to history of opioid use. This study was designed to test the hypothesis that history of opioid use among patients not reporting opioid use at the time of surgery was independently associated with new persistent opioid use after surgery.

METHODS

Using prospective perioperative data from the Analgesic Outcomes Study, we assessed outcomes of patients 18 years of age or older who underwent elective surgery between December 2015 and January 2019 and were not using opioids at the time of surgery. Patient self-reported outcome measures were collected on the day of surgery and at 2 weeks, 1 month, and 3 months postoperatively. The primary outcome was new persistent opioid use, defined as continued opioid use 3 months after surgery. The primary explanatory variable was history of opioid use, which was categorized as no history of opioid use, history of non-continuous opioid use, or history of continuous opioid use (defined as daily or almost every day for 3 months or longer). Other covariates included demographics, validated measures (pain, mood), surgery type and approach, comorbidities, and use of tobacco, alcohol, cannabis, and benzodiazepines. Backward stepwise logistic regression models were used to determine patient factors associated with new persistent opioid use and refill after surgery.

RESULTS

A total of 1,249 patients not taking opioids preoperatively were included in the study cohort for new persistent opioid use. A total of 54 (4.3%) patients had continued use 3 months after surgery. New persistent opioid use after surgery was independently associated with non-continuous opioid use history (adjusted odds ratio 2.9, [95% confidence interval, 1.21 to 6.94]), continuous opioid use history (adjusted odds ratio 5.0, [95% confidence interval, 1.48 to 16.76]), and moderate to high alcohol use (adjusted odds ratio 2.5, [95% confidence interval, 1.24 to 4.93]). Similarly, opioid prescription refill at 1 month after surgery was independently associated with history of non-continuous opioid use (adjusted odds ratio 1.6, [95% confidence interval, 1.12 to 2.24]), history of continuous opioid use (adjusted odds ratio 2.2, [95% confidence interval, 1.15 to 4.06]), and moderate to high alcohol use (adjusted odds ratio 1.7, [95% confidence interval, 1.18 to 2.48]).

CONCLUSION

Among patients not using opioids preoperatively, a history of opioid use was independently associated with new persistent opioid use after surgery, especially those with a history of continuous opioid use.

Opioid analgesic prescribing for opioid-naïve individuals prior to identification of opioid use disorder in British Columbia, Canada

BACKGROUND AND AIMS

Prescription opioid analgesics have contributed to the development of opioid use disorder (OUD) in many individuals. We aimed to characterize non-cancer opioid prescribing for opioid-naive individuals prior to OUD identification.

DESIGN

Population-based retrospective cohort study using six linked health administrative databases.

SETTING

British Columbia (BC), Canada.

PARTICIPANTS

People with OUD between 1 January 2001 and 30 September 2018 who initiated opioid analgesic therapy for non-cancer pain prior to OUD identification.

MEASUREMENTS

Dose (morphine milligram equivalent per day), days prescribed and clinical guideline non-concordance for initial opioid prescriptions (dose ≥ 90 morphine milligram equivalent per day; ≥ 7 days prescribed; concomitant sedative prescription). We estimated the probability of non-concordant initial prescriptions by source (inpatient post-discharge, non-inpatient acute, non-acute) using logistic regression, adjusting for individual characteristics and comorbidities.

FINDINGS

Among 66 372 individuals identified with OUD from 2001 to 2018, 21 331 (32.1%) received opioid analgesics prior to OUD identification. This proportion increased from 3.0% in 2001 to 41.0% in 2011, before decreasing to 34.2% in 2017. Roughly half of opioid prescriptions were attributed to non-acute care visits, peaking at 56.8% in 2007, while the proportion from inpatient visits increased from 19.7% in 2001 to 28.5% in 2017. The predicted probability of receiving non-guideline concordant prescriptions declined over time-periods across all three measures for inpatient and non-inpatient acute care, while remaining stable for non-acute care. In particular, the predicted probability of receiving ≥ 7-day prescriptions following inpatient visits decreased from 53.3% [95% confidence interval (CI) = 50.9, 55.8%] in 2001-06 to 37.2% (95% CI = 33.9, 40.5%) in 2013-18.

CONCLUSIONS

Among the 66 372 individuals in British Columbia, Canada diagnosed with opioid use disorder between 2001 and 2018, more than 32% were earlier prescribed non-cancer opioid analgesics. The proportion who had received an opioid analgesic prescription prior to OUD identification peaked at more than 40% in 2011, before stabilizing between 2011 and 2016 and declining thereafter. Guideline concordance improved over time for high-dose and concomitant sedative prescribing.

Using Prescription Drug Monitoring Program Data to Assess Likelihood of Incident Long-Term Opioid Use: a Statewide Cohort Study

BACKGROUND

Limiting the incidence of opioid-naïve patients who transition to long-term opioid use (i.e., continual use for > 90 days) is a key strategy for reducing opioid-related harms.

OBJECTIVE

To identify variables constructed from data routinely collected by prescription drug monitoring programs that are associated with opioid-naïve patients' likelihood of transitioning to long-term use after an initial opioid prescription.

DESIGN

Statewide cohort study using prescription drug monitoring program data PARTICIPANTS: All opioid-naïve patients in California (no opioid prescriptions within the prior 2 years) age ≥ 12 years prescribed an initial oral opioid analgesic from 2010 to 2017.

METHODS AND MAIN MEASURES

Multiple logistic regression models using variables constructed from prescription drug monitoring program data through the day of each patient's initial opioid prescription, and, alternatively, data available up to 30 and 60 days after the initial prescription were constructed to identify probability of transition to long-term use. Model fit was determined by the area under the receiver operating characteristic curve (C-statistic).

KEY RESULTS

Among 30,569,125 episodes of patients receiving new opioid prescriptions, 1,809,750 (5.9%) resulted in long-term use. Variables with the highest adjusted odds ratios included concurrent benzodiazepine use, ≥ 2 unique prescribers, and receipt of non-pill, non-liquid formulations. C-statistics for the day 0, day 30, and day 60 models were 0.81, 0.88, and 0.94, respectively. Models assessing opioid dose using the number of pills prescribed had greater discriminative capacity than those using milligram morphine equivalents.

CONCLUSIONS

Data routinely collected by prescription drug monitoring programs can be used to identify patients who are likely to develop long-term use. Guidelines for new opioid prescriptions based on pill counts may be simpler and more clinically useful than guidelines based on days' supply or milligram morphine equivalents.

A Risk Prediction Model for Long-term Prescription Opioid Use

BACKGROUND

Tools are needed to aid clinicians in estimating their patients' risk of transitioning to long-term opioid use and to inform prescribing decisions.

OBJECTIVE

The objective of this study was to develop and validate a model that predicts previously opioid-naive patients' risk of transitioning to long-term use.

RESEARCH DESIGN

This was a statewide population-based prognostic study.

SUBJECTS

Opioid-naive (no prescriptions in previous 2 y) patients aged 12 years old and above who received a pill-form opioid analgesic in 2016-2018 and whose prescriptions were registered in the California Prescription Drug Monitoring Program (PDMP).

MEASURES

A multiple logistic regression approach was used to construct a prediction model with long-term (ie, >90 d) opioid use as the outcome. Models were developed using 2016-2017 data and validated using 2018 data. Discrimination (c-statistic), calibration (calibration slope, intercept, and visual inspection of calibration plots), and clinical utility (decision curve analysis) were evaluated to assess performance.

RESULTS

Development and validation cohorts included 7,175,885 and 2,788,837 opioid-naive patients with outcome rates of 5.0% and 4.7%, respectively. The model showed high discrimination (c-statistic: 0.904 for development, 0.913 for validation), was well-calibrated after intercept adjustment (intercept, -0.006; 95% confidence interval, -0.016 to 0.004; slope, 1.049; 95% confidence interval, 1.045-1.053), and had a net benefit over a wide range of probability thresholds.

CONCLUSIONS

A model for the transition from opioid-naive status to long-term use had high discrimination and was well-calibrated. Given its high predictive performance, this model shows promise for future integration into PDMPs to aid clinicians in formulating opioid prescribing decisions at the point of care.

Association between 1-year patient outcomes and opioid-prescribing group of emergency department clinicians: A cohort study with Army active-duty soldiers

OBJECTIVE

The objective was to examine the association between clinicians' opioid prescribing group and patients' outcomes among patients treated in the emergency department (ED).

METHODS

This was a retrospective cohort study. The setting was the EDs of the U.S. Military Health System (MHS). Patients were 181,557 Army active-duty opioid-naïve (no fill in past 180 days) patients with an index encounter to the ED between October 2010 and September 2016. Exposure was patients classified by opioid prescribing tier of the treating ED clinician: top, middle, or bottom third relative to the clinician's peers in the same ED. Follow-up measurement was from 31 to 365 days after the index encounter. The primary outcome was long-term opioid prescriptions (LTOPs) defined as 180 (or more) days' supply within the follow-up window. We also computed the total morphine milligram equivalents (MME) and total opioid days' supply. Secondary measures were any repeat ED encounter, any hospitalization, any sick leave, and any military-duty restriction.

RESULTS

We found a 2.5-fold variation in opioid prescribing rates among clinicians in the same MHS ED. Controlling for sample demographics, reason for encounter, and military background, in multivariate analyses the odds of receiving a 180-day opioid supply during follow-up were 1.19 (95% confidence interval [CI] = 1.01 to 1.40, p < 0.05) for the top opioid exposure group and 1.37 (95% CI = 1.19 to 1.57, p < 0.001) for the middle opioid exposure group compared to the bottom exposure group, and there were significant increases in total opioid days' supply and total MME. There were no differences in secondary outcome measures.

CONCLUSION

In a relatively healthy sample of Army soldiers, variation in opioid exposure defined by clinician's prescribing history was associated with increased odds of LTOP and increase in opioid volume, but not in functional outcomes.

Opioid Prescribing in United States Health Systems, 2015 to 2019

OBJECTIVES

Health systems (nonfederal hospitals and clinics) are the second major source for drug expenditure in the United States. Opioids prescribed in these healthcare settings are commonly short-acting opioids that can lead to persistent opioid use. Nevertheless, there are no national data that describe trends in opioid use and the associated expenditure in health systems. Therefore, the objective of this article was to describe opioid use and expenditures in US health systems from 2015 to 2019.

METHODS

We used data from IQVIA National Sales Perspectives to describe prescription opioid expenditure and use in health systems (nonfederal hospitals and clinics).

RESULTS

Over the 5-year study period, health systems dispensed a total of 6.55 billion units of opioids (26.88% decrease) with an associated expenditure of $3.33 billion (26.78% decrease). Relative to all opioid formulations in our study, oxycodone, hydrocodone, and fentanyl were the opioids with the highest use in US health systems. All opioid prescriptions decreased except fentanyl use, which increased by 29.80% in clinics. The use of abuse-deterrent formulations of opioids decreased by 51.00% over the study period, although the decrease seems to be driven mainly by long-acting oxycodone (brand name Oxycontin).

CONCLUSIONS

Opioid use and expenditures in health systems have been decreasing following national trends from retail pharmacies. Nevertheless, fentanyl use increased in clinics and was prescribed at higher proportions in nonfederal hospitals than other opioids, which warrants further investigation.

Opioid and Nonopioid Analgesic Prescriptions for Dental Visits in the Emergency Department, 2015-2017 National Hospital Ambulatory Medical Care Survey

INTRODUCTION

Prescription and nonprescription opioid misuse and the rising number of dental visits in emergency departments (EDs) are growing public health concerns in the US. Our study objective was to examine the relationship between prescription analgesics (opioids and nonopioids) and the type of ED visits (dental and nondental) at the national level.

METHODS

We used data from the 2015-2017 National Hospital Ambulatory Medical Care Survey to examine the association between opioid, nonopioid, and combination of opioid and nonopioid analgesic prescriptions and dental and nondental visits in the ED. Covariates included socioeconomic variables, time of visit, provider type, triage level, hospital location (urban vs rural), and pain level. We conducted descriptive, bivariate, and multivariable analyses using weighted estimates.

RESULTS

The final study sample included 57,098 ED visits from approximately 6 million dental and 414 million nondental visits to EDs during 2015-2017 nationally. Among dental visits, 20.8% received nonopioid analgesics (vs 23.4% among nondental visits), 36.6% received opioid analgesics (vs 14.0% among nondental visits), and 17.7% received both opioids and nonopioid analgesics (vs 8.7% among nondental visits). Adjusted multinomial logistic regression model indicated that, compared with nondental visits, dental visits had 4.8, 1.9, and 3.4 times higher likelihood of receipt of an opioid, nonopioid, or both opioid and nonopioid analgesic prescription, respectively, in the ED than no analgesic prescriptions.

CONCLUSION

Dental visits resulted in receipt of a significantly higher proportion of opioid prescriptions compared with nondental visits during 2015-2017. The study findings highlight the need for developing interventions to reduce opioid prescriptions in the ED, especially for dental visits.

Sex-related differences in opioid administration in the emergency department: a population-based study

BACKGROUND

Sex differences in pain experience and expression may influence ED pain management. Our objective was to evaluate the effect of sex on ED opioid administration.

METHODS

We conducted a multicentre population-based observational cohort study using administrative data from Calgary's four EDs between 2017 and 2018. Eligible patients had a presenting complaint belonging to one of nine pain categories or an arrival pain score >3. We performed multivariable analyses to identify predictors of opioid administration and stratified analyses by age, pain severity and pain category.

RESULTS

We studied 119 510 patients (mean age 47.4 years; 55.4% female). Opioid administration rates were similar for men and women. After adjusting for age, hospital site, pain category, ED length of stay and pain severity, male sex was not a predictor of opioid treatment (adjusted OR (aOR)=0.93; 95% CI 0.85 to 1.02). However, men were more likely to receive opioids in the categories of trauma (aOR=1.58, 95% CI 1.40 to 1.78), flank pain (aOR=1.24, 95% CI 1.11 to 1.38), headache (aOR=1.18, 95% CI 1.03 to 1.34) and abdominal pain (aOR=1.11, 95% CI 1.08 to 1.18). Pain category appears to be a strong determinant of opioid administration, especially back pain (aOR=6.56, 95% CI 5.99 to 7.19) and flank pain (aOR=6.04, 95% CI 5.48 to 6.65). There was significant variability in opioid provision by ED site (aOR 0.76 to 1.24).

CONCLUSIONS

This population-based study demonstrated high variability in opioid use across different settings. Overall, men and women had similar likelihood of receiving opioids; however men with trauma, flank pain, headache and abdominal pain were much more likely to receive opioids. ED physicians should self-examine their analgesic practices with respect to possible sex biases, and departments should introduce evidence-based, indication-specific analgesic protocols to reduce practice variability and optimise opioid analgesia.

Impact of a Mandatory Prescription Drug Monitoring Program Check on Emergency Department Opioid Prescribing Rates

BACKGROUND

Prescription drug monitoring programs (PDMPs) exist in 49 states to guide opioid prescribing. In 40 states, clinicians must check the PDMP prior to prescribing an opioid. Data on mandated PDMP checks show mixed results on opioid prescribing.

OBJECTIVES

This study sought to examine the impact of the Massachusetts mandatory PDMP check on opioid prescribing for discharges from an urban tertiary emergency department (ED).

METHODS

This was a retrospective cohort study of discharges from one ED from 7/1/2010-10/15/2018. The primary outcome was the monthly percentage of patients discharged from the ED with an opioid prescription. The intervention was Massachusetts mandating a PDMP check for all opioid prescriptions. Prescribing was compared pre- and post-mandate. Interrupted time series (ITS) analysis accounted for known declining trends in opioid prescribing.

RESULTS

Of 273,512 ED discharges, 35,050 (12.8%) received opioid prescriptions. Mean monthly opioid prescribing decreased post-intervention from 15.1% (SD ± 3.5%) to 5.1% (SD ± 0.9%; p < 0.001). ITS showed equal pre and post-intervention slopes (-0.002, p = 0.819). A small immediate decrease occurred in prescribing around the mandated check: a 3-month level effect decrease of 0.018 (p = 0.039), 6-month level effect 0.019 (p = 0.023), and a 12-month level effect of 0.020 (p = 0.019). The 24-month level effect was not decreased.

CONCLUSION

Prior to the mandated PDMP check, ED opioid prescribing was declining. The mandate did not change the rate of decline but was associated with a non-sustained drop in opioid prescribing immediately following enactment.

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

Several meta-analyses of observational studies have addressed the association between risk and protective factors and cannabis/cocaine/opioid use disorders, but results are conflicting. No umbrella review has ever graded the credibility of this evidence (not significant/weak/suggestive/highly suggestive/convincing). We searched Pubmed-MEDLINE/PsycInfo, last search September 21, 2020. We assessed the quality of meta-analyses with the AMSTAR-2 tool. Out of 3,072 initial references, five were included, providing 19 associations between 12 putative risk/protective factors and cannabis/cocaine/opioid use disorders (cases: 4539; N = 1,118,872,721). While 84 % of the associations were statistically significant, none was convincing. One risk factor (smoking) had highly suggestive evidence for association with nonmedical use of prescription opioid medicines (OR = 3.07, 95 %CI:2.27 to 4.14). Convincing evidence emerged in sensitivity analyses on antisocial behavior and cannabis use disoder (OR 3.34, 95 %CI 2.53-4.41). Remaining associations had weak evidence. The quality of meta-analyses was rated as moderate in two (40 %), low in one (20 %), and critically low in two (40 %). Future research is needed to better profile risk/protective factors for cannabis/cocaine/opioid use disorders disorders informing preventive approaches.

Variations in Long-term Opioid Therapy Definitions: A Systematic Review of Observational Studies Using Routinely Collected Data (2000-2019)

Routinely collected data have been increasingly used to assess long-term opioid therapy (LTOT) patterns, with very little guidance on how to measure LTOT from these data sources. We conducted a systematic review of studies published between January 2000 and July 2019 to catalogue LTOT definitions, the rationale for definitions and LTOT rates in observational research using routinely collected data in nonsurgical settings. We screened 4056 abstracts, 210 full-text manuscripts and included 128 studies, mostly from the United States (81%) and published between 2015 and 2019 (69%). We identified 78 definitions of LTOT, commonly operationalised as 90 days of use within a year (23%). Studies often used multiple criteria to derive definitions (60%), mostly based on measures of duration, such as supply days/days of use (66%), episode length (21%) or prescription fills within specified time periods (12%). Definitions were based on previous publications (63%), clinical judgment (16%) or empirical data (3%); 10% of studies applied more than one definition. LTOT definition was not provided with enough details for replication in 14 studies and 38 studies did not specify the opioids evaluated. Rates of LTOT within study populations ranged from 0.2% to 57% according to study design and definition used. We observed a substantial rise in the last 5 years in studies evaluating LTOT with large variability in the definitions used and poor reporting of the rationale and implementation of definitions. This variation impacts on research reproducibility, comparability of findings and the development of strategies aiming to curb therapy that is not guideline-recommended.

A supportive school environment may reduce the risk of non-medical prescription opioid use due to impaired mental health among students

Canada is in the midst of an ongoing, escalating opioid crisis, with significant impacts on adolescents and young adults. Accordingly, mental health impairment was examined as a risk factor for non-medical prescription opioid use (NMPOU) among high school students. In addition, the moderating effects of the school environment, in terms of the availability of mental health services and substance use policies, were characterized. Self-reported, cross-sectional data were obtained from the COMPASS study, including 61,239 students (grades 9-12) in 121 secondary schools across Canada. Current and lifetime NMPOU were ascertained. Categorical indicators of mental health impairment and school environment were derived. The main analytical strategy encompassed hierarchal multilevel logistic regression, including the addition of interaction terms to characterize the moderation effects. Current and lifetime NMPOU were reported by 5.8% and 7.2% of the students, respectively. After adjusting for confounders, students in the highest quintile of mental health impairment had odds ratios (OR) of 2.60 (95% confidence interval [CI] 2.29-2.95) and 2.96 (95% CI 2.64-3.33) for current and lifetime NMPOU, respectively when compared to students in the lowest quintile of mental health impairment. A significant interaction between mental health impairment and school environment indicated relatively lower risks of NMPOU in students from schools that provide more mental health services and have stricter substance use policies. Mental health impairment increased the risk of NMPOU, but the associations were moderated by the school environment. These findings underscore the importance of mental health services and substance use regulations in schools.

Effect of an Electronic Health Record "Nudge" on Opioid Prescribing and Electronic Health Record Keystrokes in Ambulatory Care

BACKGROUND

Multiple policy initiatives encourage more cautious prescribing of opioids in light of their risks. Electronic health record (EHR) redesign can influence prescriber choices, but some redesigns add to workload.

OBJECTIVE

To estimate the effect of an EHR prescribing redesign on both opioid prescribing choices and keystrokes.

DESIGN

Quality improvement quasi-experiment, analyzed as interrupted time series.

PARTICIPANTS

Adult patients of an academic multispecialty practice and a federally qualified health center (FQHC) who received new prescriptions for short-acting opioids, and their providers.

INTERVENTION

In the redesign, new prescriptions of short-acting opioids defaulted to the CDC-recommended minimum for opioid-naïve patients, with no alerts or hard stops, such that 9 keystrokes were required for a guideline-concordant prescription and 24 for a non-concordant prescription.

MAIN MEASURES

Proportion of guideline-concordant prescriptions, defined as new prescriptions with a 3-day supply or less, calculated per 2-week period. Number of mouse clicks and keystrokes needed to place prescriptions.

KEY RESULTS

Across the 2 sites, 22,113 patients received a new short-acting opioid prescription from 821 providers. Before the intervention, both settings showed secular trends toward smaller-quantity prescriptions. At the academic practice, the intervention was associated with an immediate increase in guideline-concordant prescriptions from an average of 12% to 31% of all prescriptions. At the FQHC, about 44% of prescriptions were concordant at the time of the intervention, which was not associated with an additional significant increase. However, total keystrokes needed to place the concordant prescriptions decreased 62.7% from 3552 in the 6 months before the intervention to 1323 in the 6 months afterwards.

CONCLUSIONS

Autocompleting prescription forms with guideline-recommended values was associated with a large increase in guideline concordance in an organization where baseline concordance was low, but not in an organization where it was already high. The redesign markedly reduced the number of keystrokes needed to place orders, with important implications for EHR-related stress.

TRIAL REGISTRATION

www.ClinicalTrials.gov protocol 1710018646.

Analgesic and Opioid Use for Patients Discharged from the Emergency Department with Ureteral Stones

Objective: The aim of this study was to describe and characterize the analgesic and opioid use for patients discharged from the emergency department (ED) with renal colic due to ureteral stone. Methods: This is a secondary analysis of a multicenter prospective trial of ED patients diagnosed by CT scan as having a symptomatic ureteral stone <9 mm in diameter. Participants were contacted after randomization on days 2, 7, 15, 20, and 29 and reported opioid and nonopioid analgesic use and stone passage. CT scan was repeated on day 29 to 36 to confirm passage. Results: Of 403 participants, 314 (77.9%) took an analgesic after discharge and 199 (49.4%) took opioids. Opioids were more commonly used by younger patients (p = 0.04) and those with a family history of stones (p = 0.003). Stone size and tamsulosin use were not associated with analgesic utilization. Shorter time to passage and more distal stone location were associated with less analgesic and opioid use. For those who did not expel a stone, 55.0% took opioids at any time, and for those who did expel a stone, 31.9% took opioids before the stone was expelled and 15.7% took opioids at any time after the stone was expelled. Conclusions: Factors associated with increased use of analgesics in patients discharged from the ED include a longer time to stone passage, no spontaneous passage, and proximal position of the stone in the ureter. Some patients continued to use analgesics after the stone had passed, but most stopped using analgesics by day 29. The study has been registered at https://clinicaltrials.gov (NCT00382265).

Opioid Prescription Patterns for Discharged Patients from the Emergency Department

Objectives

It is important to analyze the types of etiologies and provider demographics that drive opioid prescription in our emergency departments. Our study aimed to determine which patients in the ED are receiving opioid prescriptions, as well as their strength and quantity. Secondary outcomes included identifying difference in prescribing between provider classes.

Methods

We conducted a retrospective study at a tertiary care university-based, level-one trauma ED from November 2017 to October 2018. We identified and analyzed data from 2,259 patients who were sent home with an opioid prescription. We retrieved patient and provider demographics, diagnosis, etiologies, and prescription information.

Results

The mean age of a patient receiving an opioid prescription was 45, and 72.7% of patients were white. The most common diagnosis groups associated with an opioid prescription were abdominal pain (18.5%), nonfracture extremity pain (18.4%), and back/neck pain (12.5%). Hydrocodone-acetaminophen 5-325 mg was the most commonly prescribed (67.4%). The median total prescribed milligram morphine equivalent (MME) was highest for extremity fracture (75.0; IQR 54.0-100.0). The median total prescribed amount of pills was highest for patients with extremity fractures (15.0; IQR 12.0-20.0).

Conclusions

Our study elucidates the prescribing patterns of an academic level 1 trauma center and should pave the way for future studies looking to maximize effectiveness at ways to curb ED opioid prescription.

Use of Tramadol or Other Analgesics in Patients Treated in the Emergency Department as a Risk Factor for Opioid Use

The objective of this cohort study was to determine the association between the use of tramadol in emergency departments and the later consumption of opioids at the outpatient level in a group of patients from Colombia. Based on a medication dispensation database, patients over 18 years of age treated in different clinics in Colombia who for the first time received tramadol, dipyrone, or a nonsteroidal anti-inflammatory drug (NSAID) in the emergency room between January and December 2018 were identified. Three mutually exclusive cohorts were created, and each patient was followed up for 12 months after the administration of the analgesic to identify new formulations of any opioid. A Cox proportional-hazards regression model was constructed to identify variables associated with receiving a new opioid. A total of 12,783 patients were identified: 6020 treated with dipyrone, 5309 treated with NSAIDs, and 1454 treated with tramadol. The mean age was 47.1 ± 20.4 years, and 61.6% were women. A total of 17.3% (n = 2207) of all patients received an opioid during follow-up. Those treated with tramadol received a new opioid with a higher frequency (n = 346, 23.8%) than the other cohorts (14.7% NSAIDs and 17.9% dipyrone, both p < 0.001). In the tramadol group, using more than 10 mg of morphine equivalents was associated with a greater use of new opioids (HR:1.47, 95%CI:1.12-1.93). Patients treated with tramadol in emergency departments have a higher risk of opioid use at the one-year follow-up than those treated with NSAIDs or dipyrone.

Chronic Opioid Therapy: A Scoping Literature Review on Evolving Clinical and Scientific Definitions

The management of chronic noncancer pain (CNCP) with chronic opioid therapy (COT) is controversial. There is a lack of consensus on how COT is defined resulting in unclear clinical guidance. This scoping review identifies and evaluates evolving COT definitions throughout the published clinical and scientific literature. Databases searched included PubMed, Embase, and Web of Science. A total of 227 studies were identified from 8,866 studies published between January 2000 and July 2019. COT definitions were classified by pain population of application and specific dosage/duration definition parameters, with results reported according to PRISMA-ScR. Approximately half of studies defined COT as "days' supply duration >90 days" and 9.3% defined as ">120 days' supply," with other days' supply cut-off points (>30, >60, or >70) each appearing in <5% of total studies. COT was defined by number of prescriptions in 63 studies, with 16.3% and 11.0% using number of initiations or refills, respectively. Few studies explicitly distinguished acute treatment and COT. Episode duration/dosage criteria was used in 90 studies, with 7.5% by Morphine Milligram Equivalents + days' supply and 32.2% by other "episode" combination definitions. COT definitions were applied in musculoskeletal CNCP (60.8%) most often, and typically in adults aged 18 to 64 (69.6%). The usage of ">90 days' supply" COT definitions increased from 3.2 publications/year before 2016 to 20.7 publications/year after 2016. An increasing proportion of studies define COT as ">90 days' supply." The most recent literature trends toward shorter duration criteria, suggesting that contemporary COT definitions are increasingly conservative. PERSPECTIVE: This study summarized the most common, current definition criteria for chronic opioid therapy (COT) and recommends adoption of consistent definition criteria to be utilized in practice and research. The most recent literature trends toward shorter duration criteria overall, suggesting that COT definition criteria are increasingly stringent.

Advances in prescription drug monitoring program research: a literature synthesis (June 2018 to December 2019)

PURPOSE OF REVIEW

Nearly every U.S. state operates a prescription drug monitoring program (PDMP) to monitor dispensing of controlled substances. These programs are often considered key policy levers in the ongoing polydrug epidemic. Recent years have seen rapid growth of peer-reviewed literature examining PDMP consultation and the impacts of these programs on diverse patient populations and health outcomes. This literature synthesis presents a review of studies published from June 2018 to December 2019 and provides relevant updates from the perspective of three researchers in this field.

RECENT FINDINGS

The analyzed studies were primarily distributed across three overarching research focus areas: outcome evaluations (n = 29 studies), user surveys (n = 23), and surveillance (n = 22). Identified themes included growing awareness of the unintended consequences of PDMPs on access to opioids, effects on benzodiazepines and stimulant prescribing, challenges with workflow integration across multiple specialties, and new opportunities for applied data science.

SUMMARY

There is a critical gap in existing PDMP literature assessing how these programs have impacted psychiatrists, their prescribing behaviors, and their patients. Although PDMPs have improved population-level monitoring of controlled substances from medical sources, their role in responding to a drug epidemic shifting to illicitly manufactured drugs is under scrutiny.

Opioid prescriptions in emergency departments: Findings from the 2016 National Hospital Ambulatory Medical Care Survey

In the past decade, there has been a rising trend in the emergency department (ED) visits in the US and these visits carry a significant burden of prescription opioids. This study utilized the latest available data from the 2016 National Hospital Ambulatory Medical Care Survey (NHAMCS) and examined the factors associated with opioid prescriptions in the ED. The outcome variable was receipt of opioid prescription, and the primary variable of interest was the type of visit (dental/non-dental). Other variables included age, gender, race/ethnicity, region, payer, day of the visit, and pain level. Descriptive and multivariate analyses were conducted and predicted marginal probabilities were determined. P ≤ 0.05 was considered statistically significant. In 2016, 22.5% of visits in ER received opioid prescriptions. In the unadjusted analysis, opioid prescriptions were associated with all correlates except day of the visit. In the adjusted model, odds of receiving opioid prescription were 3.5 times more among dental visits compared to non-dental visits (95% Confidence Interval [CI] = 2.4-5.1) and 9.4 times more among visits with severe pain compared to visits with mild pain (95% CI = 7.7-11.4). Opioid prescriptions among 45-64 years old were 7.1 times (95% CI = 5.5-9.1] more likely compared to those among under 18 age-group. Opioid prescriptions in ED differed significantly by the type of visit and pain level. Given the higher likelihood of opioid prescriptions among dental visits, it is imperative to develop better prescription guidelines for dental visits in ED.

Oxycodone prescribing in the emergency department during the opioid crisis

OBJECTIVE

Misuse of prescription opioids is a significant public health issue in Australia. There has been a rapid rise in prescription opioid use, with an associated increase in overdose and death. The over-prescribing of oral opioids, especially oxycodone, in the ED has been identified as a contributor to this problem overseas. It is unclear if similar practice occurs in the Australian ED. The primary aim of our study was to identify the incidence of oral oxycodone administration to patients within the ED. The secondary outcome was to identify the incidence of oxycodone prescribed to patients on discharge from the ED into the community.

METHODS

Our study was designed as an observational, retrospective data analysis of the incidence of oxycodone prescribed within the three EDs of a large Australian public health service. All immediate-release (IR) and slow-release (SR) oral oxycodone prescribed over a 4-year period (2015-2018) was included.

RESULTS

There were 890 557 presentations to the three EDs during the period, which resulted in 288 242 episodes of oxycodone administration within department, equivalent to 324 administrations per 1000 presentations. There were 39 381 prescriptions for oxycodone provided on discharge, resulting in an incidence of 44 prescriptions per 1000 discharged. The most frequently prescribed opioid medication in the ED was oxycodone IR 5 mg, 78.6% of discharge prescriptions generated provided a maximum quantity (20 for IR formulation or 28 for SR) of tablets allowable under the pharmaceutical benefits scheme.

CONCLUSIONS

There is a higher incidence of oxycodone prescribing in the Australian ED than previously recognised. An overuse of oxycodone may be contributing to adverse patient outcomes and a public health crisis. Hospitals should consider appropriate steps to reduce the incidence of opioid prescribing and the supply of these medications into the community.