Naloxone distribution programs in the emergency department: A scoping review of the literature

This scoping review summarized the literature regarding naloxone distribution from emergency departments (EDs) without a prescription. Our intention was to examine various naloxone distribution programs, their methodologies, and the level of effectiveness of each. Understanding these key aspects of naloxone distribution could lead to improved standardized protocols, saving countless additional lives from opioid overdose. This review evaluated studies reporting naloxone distribution from EDs in the United States. The included studies were written in English and published between January 1, 2017, and December 31, 2022. Searches were performed using PubMed and Embase. A total of 129 studies were reviewed, with only 12 meeting the necessary criteria for analysis. Heterogeneity was found across naloxone distribution programs, including how patients were identified, how naloxone was dispensed to patients, and the specific naloxone products made available. The protocols included various methods, such as patient screening, where information used for this screening was sometimes obtained from health records or patient interviews. Some programs detailed only the distribution of naloxone, while others included additional interventions such as behavior counseling, peer support, and education. In four studies, patients received buprenorphine with naloxone kits. The various programs differed in their implementation but were generally successful in improving naloxone distribution. However, among the studies reviewed, the percentage of ED patients receiving naloxone varied from ∼30% to 70%, suggesting that certain program elements may be more impactful. Further research is needed to identify key elements of the most impactful programs in order to improve naloxone distribution and improve patient odds of surviving an opioid overdose.

Revive and Refuse: Capacity, Autonomy, and Refusal of Care After Opioid Overdose

Physicians generally recommend that patients resuscitated with naloxone after opioid overdose stay in the emergency department for a period of observation in order to prevent harm from delayed sequelae of opioid toxicity. Patients frequently refuse this period of observation despiteenefit to risk. Healthcare providers are thus confronted with the challenge of how best to protect the patient's interests while also respecting autonomy, including assessing whether the patient is making an autonomous choice to refuse care. Previous studies have shown that physicians have widely divergent approaches to navigating these conflicts. This paper reviews what is known about the effects of opioid use disorder on decision-making, and argues that some subset of these refusals are non-autonomous choices, even when patients appear to have decision making capacity. This conclusion has several implications for how physicians assess and respond to patients refusing medical recommendations after naloxone resuscitation.

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.

A qualitative study to determine perspectives of clinicians providing telehealth opioid use disorder treatment

BACKGROUND

Telehealth-only medication for opioid use disorder (teleMOUD) treatment with buprenorphine was first made possible in the United States during the COVID-19 Public Health Emergency. As a result, several large provider groups now treat opioid use disorder (OUD) patients in nearly every state using telehealth. This study evaluates the perceptions and experiences of providers working almost exclusively in a teleMOUD program.

METHODS

Qualitative interviews were conducted with 18 providers (physicians, physician assistants and nurse practitioners) using a semi-structured interview guide. Interviews were recorded, transcribed and reviewed. After reviewing the transcripts, a codebook was developed, interviews were coded, and coded excerpts were analyzed for key themes.

RESULTS

Inductive codes were used to organize provider responses and included patient-level codes, provider-level codes, and telehealth environment codes. For providers, there are benefits of a flexible and less stressful working environment, which contribute to a higher quality of life. Providers also expressed mixed feelings regarding professional identity and focusing specifically on OUD, differences in relationships with colleagues, and challenges related to policy changes and ambiguities. For patients, providers perceived greater access, less stigma, more convenience, and a unique provider-patient relationship compared to in-person treatment. These themes affect providers and patients on multiple levels of the social-ecological model.

CONCLUSIONS

Multiple themes emerged in this study. This work is amongst the first to describe perspectives of providers working in the nascent teleMOUD setting, and can inform initiatives to improve provider wellness, provider retention, and quality of care for patients treated in the setting.

A qualitative assessment of emergency physicians' experiences with robust emergency department buprenorphine bridge programs

OBJECTIVES

Emergency departments (EDs) are a critical point of entry into treatment for patients struggling with opioid use disorder (OUD). When initiated in the ED, buprenorphine is associated with increased addiction treatment engagement at 30 days when initiated. Despite this association, it has had slow adoption. The barriers to ED buprenorphine utilization are well documented; however, the benefits of prescribing buprenorphine for emergency physicians (EPs) have not been explored. This study utilized semistructured interviews to explore and understand how EPs perceive their experiences working in EDs that have successfully implemented ED bridge programs (EDBPs) for patients with OUD.

METHODS

Semistructured interviews were conducted with EPs from four geographically diverse academic hospitals with established EDBPs. Interviews were recorded and transcribed, and emergent themes were identified using codebook thematic analysis. Analysis credibility and transparency were confirmed with peer debriefing.

RESULTS

Twenty-two interviews were conducted across the four sites. Three key themes were constructed during the analyses: (1) provided EPs agency; (2) transformed EPs' emotions, attitudes, and behaviors related to treating patients with OUD; and (3) improved EPs' professional quality of life.

CONCLUSIONS

Participants in this study reported several common themes related to participation in their hospital's BP. Overall our results suggest that physicians who participate in EDBPs may feel a renewed sense of fulfillment and purpose in their personal and professional lives. These positive changes may lead to increased job satisfaction in hospitals that have successfully launched EDBP.

An Assessment of the One-Month Effectiveness of Telehealth Treatment for Opioid Use Disorder Using the Brief Addiction Monitor

OBJECTIVES

Telehealth treatment with medication for opioid use disorder (teleMOUD) was made possible with regulations following the COVID-19 pandemic that permitted prescribing buprenorphine without an in-person visit. This study evaluates the self-reported outcomes of patients treated by teleMOUD using the Brief Addiction Monitor (BAM), a 17-question tool that assesses drug use, cravings, physical and psychological health, and psychosocial factors to produce 3 subset scores: substance use, risk factors, and protective factors.

METHODS

Patients treated by a teleMOUD provider group operating in >30 states were asked to complete an app-based version of BAM at enrollment and at 1 month. Patients who completed both assessments between June 2022 and March 2023 were included.

RESULTS

A total of 2556 patients completed an enrollment BAM and 1447 completed both assessments. Mean number of days from baseline BAM to follow-up was 26.7 days. Changes were significantly different across most questions. The substance use subscale decreased from mean 2.6 to 0.8 (P < .001), the risk factors subscale decreased from mean 10.3 to 7.5 (P < .001), and the protective factors subscale increased from mean 14.3 to 15.0. (P < .001). Substance use and risk factor subscale changes were significant across all sex and age groups, while protective factors subscale did not improve for those <25 and >54 years. Patient reports of at least 1 day of illegal use or misuse decreased, including marijuana (28.1% vs 9.0%), cocaine/crack (3.9% vs 2.6%), and opioids (49.8% vs 10.5%).

CONCLUSIONS

Among patients treated by teleMOUD who completed assessments at enrollment and 1 month, there was improvement in drug use, risk factor, and protective factor scores.

The association between community social vulnerability and prescription opioid availability with individual opioid overdose

BACKGROUND

This study aims to assess the association of community social vulnerability and community prescription opioid availability with individual non-fatal or fatal opioid overdose.

METHODS

We identified patients 12 years of age or older from the Oregon All Payer Claims database (APCD) linked to other public health datasets. Community-level characteristics were captured in an exposure period (EP) (1/1/2018-12/31/2018) and included: census tract-level social vulnerability domains (socio-economic status, household composition, racial and ethnic minority status, and housing type and transportation), census tract-level prescriptions and community-level opioid use disorder (OUD) diagnoses per 100 capita binned into quartiles or quintiles. We employed Cox models to estimate the risk of fatal and non-fatal opioid overdoses events in the 12 months following the EP.

MAIN FINDINGS

We identified 1,548,252 individuals. Patients were mostly female (54%), White (61%), commercially insured (54%), and lived in metropolitan areas (81%). Of the total sample, 2485 (0.2%) experienced a non-fatal opioid overdose and 297 died of opioid overdose. There was higher hazard for non-fatal overdose in communities with greater OUD per 100 capita. We also found higher non-fatal and fatal hazards for opioid overdose among patients in communities with higher housing type and transportation-related vulnerability compared to the lowest quintile. Conversely, patients were at less risk of opioid overdose when living in communities with greater prevalence of the young or the elderly, the disabled, single parent families or low English proficiency.

CONCLUSION

These findings underscore the importance of the environmental context when considering public health policies to reduce opioid harms.

Treatment of poppy seed tea misuse with buprenorphine in a telehealth practice: a case series

BACKGROUND

Poppy seed tea (PST) is a legally obtainable source of opiates made from the seeds of the opium poppy. Our large telehealth opioid use disorder (OUD) provider group has treated several patients with PST misuse.

METHODS

We retrospectively identified patients with primary PST use disorder treated with buprenorphine in a telehealth-only practice with first visits between January 2021 and December 2022. Patients were identified by having the word "poppy" in their enrollment note, and then charts were reviewed to determine which patients had primary PST misuse. Demographics, buprenorphine doses, and retention in treatment were recorded.

RESULTS

We identified 18 patients treated for PST use disorder. Fifteen (83.3%) identified as male, mean age was 40.4 (standard deviation 8.8) years, and patients resided in 10 different U.S. states. Median starting buprenorphine dose was 2 mg (interquartile range (IQR) 2-2.5 mg). Median stabilizing dose of buprenorphine was 16 mg daily (IQR 15-20.5 mg). As of June 2023, 5 patients (27.8%) were still in active treatment. Two patients (11.1%) had completed a planned, elective taper. Ten patients (55.6%) had unplanned discontinuation from treatment, and 3 patients (16.7%) discontinued for other reasons.

CONCLUSIONS

To our knowledge, this is the largest case series describing PST misuse in the U.S., and the first to demonstrate its treatment in the telehealth setting. PST use disorder is treatable with buprenorphine with doses similar to treatment of other opioid use disorders. Clinicians who treat patients with OUD should be aware of PST use disorder and its treatment.

Evaluation of urine drug screen falsification of results among patients with opioid use disorder receiving treatment in a telehealth model of care

INTRODUCTION

As telehealth models for treatment of opioid use disorder (OUD) are expanding, the field does not know the reliability of urine drug screening (UDS) in this setting. The objective of this study is to determine the rate of falsification of UDS testing among patients with OUD in active treatment with buprenorphine via a telehealth provider.

METHODS

This is a prospective cohort study of 899 randomly selected eligible patients, of which 392 participated in the final cohort that the study team used for analysis. The study mailed patients a UDS cup and asked them to return the sample by mail. After the UDS sample was received, a buccal swab was mailed, and the study asked patients to schedule a virtual meeting in which consent was sought and an observed buccal swab was obtained. We evaluated urine for evidence of falsification, and used buccal swabs to genetically match individuals to urine samples.

RESULTS

After exclusion criteria, 395 (52.3 %) of 755 patients who received a UDS kit returned it for analysis prior to knowledge of the study. Of that, 392 samples had sufficient quantity for testing. We determined 383 (97.7 %) to be human urine containing buprenorphine without indication of exogenous buprenorphine addition and with evidence of compliance. A total of 374 patients received a buccal swab kit and 139 (37.2 %) attended the consent/observed buccal swab session. One hundred and thirty-two patients consented and completed the swab under video observation, and 120 successfully sent the swab back to the external laboratory. Of the 120 buccal swabs received, 109 (90.8 %) were a genetic match, 10 (8.3 %) were indeterminate, and 1 (0.8 %) was a genetic mismatch.

CONCLUSIONS

This study of patients treated by a telehealth OUD provider demonstrated a low rate of urine test falsification.

Outcomes for Patients Discharged to Involuntary Commitment for Substance Use Disorder Directly from the Hospital

To evaluate the outcomes of patients discharged to involuntary commitment for substance use disorders directly from the hospital. We performed a retrospective chart review of 22 patients discharged to involuntary commitment for substance use disorder from the hospital between October 2016 and February 2020. We collected demographic data, details about each commitment episode, and healthcare utilization outcomes 1 year following involuntary commitment. Nearly all patients had a primary alcohol use disorder (91%) and had additional medical (82%) and psychiatric comorbidities (71%). One year following involuntary commitment, all patients had relapsed to substance use and had at least one emergency department visit while 78.6% had at least one admission. These findings suggest that patients discharged to involuntary commitment directly from the hospital universally relapsed and experienced significant medical morbidity during the first year following their release. This study adds to a growing literature recognizing the harms of involuntary commitment for substance use disorder.

Selective Inhibition of NaV1.8 with VX-548 for Acute Pain

BACKGROUND

The Na_V1.8 voltage-gated sodium channel, expressed in peripheral nociceptive neurons, plays a role in transmitting nociceptive signals. The effect of VX-548, an oral, highly selective inhibitor of Na_V1.8, on control of acute pain is being studied.

METHODS

After establishing the selectivity of VX-548 for Na_V1.8 inhibition in vitro, we conducted two phase 2 trials involving participants with acute pain after abdominoplasty or bunionectomy. In the abdominoplasty trial, participants were randomly assigned in a 1:1:1:1 ratio to receive one of the following over a 48-hour period: a 100-mg oral loading dose of VX-548, followed by a 50-mg maintenance dose every 12 hours (the high-dose group); a 60-mg loading dose of VX-548, followed by a 30-mg maintenance dose every 12 hours (the middle-dose group); hydrocodone bitartrate-acetaminophen (5 mg of hydrocodone bitartrate and 325 mg of acetaminophen every 6 hours); or oral placebo every 6 hours. In the bunionectomy trial, participants were randomly assigned in a 2:2:1:2:2 ratio to receive one of the following over a 48-hour treatment period: oral high-dose VX-548; middle-dose VX-548; low-dose VX-548 (a 20-mg loading dose, followed by a 10-mg maintenance dose every 12 hours); oral hydrocodone bitartrate-acetaminophen (5 mg of hydrocodone bitartrate and 325 mg of acetaminophen every 6 hours); or oral placebo every 6 hours. The primary end point was the time-weighted sum of the pain-intensity difference (SPID) over the 48-hour period (SPID48), a measure derived from the score on the Numeric Pain Rating Scale (range, 0 to 10; higher scores indicate greater pain) at 19 time points after the first dose of VX-548 or placebo. The main analysis compared each dose of VX-548 with placebo.

RESULTS

A total of 303 participants were enrolled in the abdominoplasty trial and 274 in the bunionectomy trial. The least-squares mean difference between the high-dose VX-548 and placebo groups in the time-weighted SPID48 was 37.8 (95% confidence interval [CI], 9.2 to 66.4) after abdominoplasty and 36.8 (95% CI, 4.6 to 69.0) after bunionectomy. In both trials, participants who received lower doses of VX-548 had results similar to those with placebo. Headache and constipation were common adverse events with VX-548.

CONCLUSIONS

As compared with placebo, VX-548 at the highest dose, but not at lower doses, reduced acute pain over a period of 48 hours after abdominoplasty or bunionectomy. VX-548 was associated with adverse events that were mild to moderate in severity. (Funded by Vertex Pharmaceuticals; VX21-548-101 and VX21-548-102 ClinicalTrials.gov numbers, NCT04977336 and NCT05034952.).

The Incidence and Disparities in Use of Stigmatizing Language in Clinical Notes for Patients With Substance Use Disorder

OBJECTIVE

The language used to describe people with substance use disorder impacts stigma and influences clinical decision making. This study evaluates the presence of stigmatizing language (SL) in clinical notes and detects patient- and provider-level differences.

METHODS

All free-text notes generated in a large health system for patients with substance-related diagnoses between December 2020 and November 2021 were included. A natural language processing algorithm using the National Institute on Drug Abuse's "Words Matter" list was developed to identify use of SL in context.

RESULTS

There were 546,309 notes for 30,391 patients, of which 100,792 (18.4%) contained SL. A total of 18,727 patients (61.6%) had at least one note with SL. The most common SLs used were "abuse" and "substance abuse." Nurses were least likely to use SL (4.1%) while physician assistants were most likely (46.9%). Male patients were more likely than female patients to have SL in their notes (adjusted odds ratio [aOR], 1.17; 95% confidence internal [CI], 1.11-1.23), younger patients aged 18 to 24 were less likely to have SL than patients 45 to 54 years (aOR, 0.55; 95% CI, 0.50-0.61), Asian patients were less likely to have SL than White patients (aOR, 0.45; 95% CI, 0.36-0.56), and Hispanic patients were less likely to have SL than non-Hispanic patients (aOR, 0.88; 95% CI, 0.80-0.98).

CONCLUSIONS

The majority of patients with substance-related diagnoses had at least one note containing SL. There were also several patient characteristic disparities associated with patients having SL in their notes. The work suggests that more clinician interventions about use of SL are needed.

Designing a public access naloxone program for public transportation stations

The opioid overdose epidemic has caused over 600,000 deaths in the U.S. since 1999. Public access naloxone programs show great potential as a strategy for reducing opioid overdose-related deaths. However, their implementation within public transit stations, often characterized as opioid overdose hotspots, has been limited, partly because of a lack of understanding in how to structure such programs. Here, we propose a comprehensive framework for implementing public access naloxone programs at public transit stations to curb opioid overdose-related deaths. The framework, tailored to local contexts, relies on coordination between local public health organizations to provide naloxone at public access points and bystander training, local academic institutions to oversee program evaluation, and public transit organizations to manage naloxone maintenance. We use the city of Cambridge, Massachusetts as a case study to demonstrate how it and other municipalities may implement such an initiative.

Association of Household Opioid Availability With Opioid Overdose

IMPORTANCE

Previous studies that examined the role of household opioid prescriptions in opioid overdose risk were limited to commercial claims, did not include fatal overdoses, and had limited inclusion of household prescription characteristics. Broader research is needed to expand understanding of the risk of overdose.

OBJECTIVE

To assess the role of household opioid availability and other household prescription factors associated with individuals' odds of fatal or nonfatal opioid overdose.

DESIGN, SETTING, AND PARTICIPANTS

A retrospective cohort study assessing patient outcomes from January 1, 2015, through December 31, 2018, was conducted on adults in the Oregon Comprehensive Opioid Risk Registry database in households of at least 2 members. Data analysis was performed between October 16, 2020, and January 26, 2023.

EXPOSURES

Household opioid prescription availability and household prescription characteristics.

MAIN OUTCOMES AND MEASURES

Opioid overdoses were captured from insurance claims, death records, and hospital discharge data. Household opioid prescription availability and prescription characteristics for individuals and households were modeled as 6-month cumulative time-dependent measures, updated monthly. To assess the association between household prescription availability, household prescription characteristics, and overdose, multilevel logistic regression models were developed, adjusting for demographic, clinical, household, and prescription characteristics.

RESULTS

The sample included 1 691 856 individuals in 1 187 140 households, of which most were women (53.2%), White race (70.7%), living in metropolitan areas (75.8%), and having commercial insurance (51.8%), no Elixhauser comorbidities (69.5%), and no opioid prescription fills in the study period (57.0%). A total of 28 747 opioid overdose events were observed during the study period (0.0526 per 100 person-months). Relative to individuals without personal or household opioid fills, the odds of opioid-related overdose increased by 60% when another household member had an opioid fill in the past 6 months (adjusted odds ratio [aOR], 1.60; 95% CI, 1.54-1.66) and were highest when both the individual and another household member had opioid fills in the preceding 6 months (aOR, 6.25; 95% CI, 6.09-6.40).

CONCLUSIONS AND RELEVANCE

In this cohort study of adult Oregon residents in households of at least 2 members, the findings suggest that household prescription availability is associated with increased odds of opioid overdose for others in the household, even if they do not have their own opioid prescription. These findings underscore the importance of educating patients about proper opioid disposal and the risks of household opioids.

Trends in buprenorphine treatment disparities during the COVID pandemic in Massachusetts

Background: Racial, sex, and age disparities in buprenorphine treatment have previously been demonstrated. We evaluated trends in buprenorphine treatment disparities before and after the onset of the COVID pandemic in Massachusetts. Methods: This cross-sectional study used data from an integrated health system comparing 12-months before and after the March 2020 Massachusetts COVID state of emergency declaration, excluding March as a washout period. Among patients with a clinical encounter during the study periods with a diagnosis of opioid use disorder or opioid poisoning, we extracted outpatient buprenorphine prescription rates by age, sex, race and ethnicity, and language. Generating univariable and multivariable Poisson regression models, we calculated the probability of receiving buprenorphine. Results: Among 4,530 patients seen in the period before the COVID emergency declaration, 57.9% received buprenorphine. Among 3,653 patients seen in the second time period, 55.1% received buprenorphine. Younger patients (<24) had a lower likelihood of receiving buprenorphine in both time periods (adjusted prevalence ratio (aPR), 0.56; 95% CI, 0.42-0.75 before vs. aPR, 0.76; 95% CI, 0.60-0.96 after). Male patients had a greater likelihood of receiving buprenorphine compared to female patients in both time periods (aPR: 1.05; 95% CI, 1.00-1.11 vs. aPR: 1.09; 95% CI, 1.02-1.16). Racial disparities emerged in the time period following the COVID pandemic, with non-Hispanic Black patients having a lower likelihood of receiving buprenorphine compared to non-Hispanic white patients in the second time period (aPR, 0.85; 95% CI, 0.72-0.99). Conclusions: Following the onset of the COVID pandemic in Massachusetts, ongoing racial, age, and gender disparities were evident in buprenorphine treatment with younger, Black, and female patients less likely to be treated with buprenorphine across an integrated health system.

Opioid-related overdose and chronic use following an initial prescription of hydrocodone versus oxycodone

Background

Hydrocodone and oxycodone are prescribed commonly to treat pain. However, differences in risk of opioid-related adverse outcomes after an initial prescription are unknown.

This study aims to determine the risk of opioid-related adverse events, defined as either chronic use or opioid overdose, following a first prescription of hydrocodone or oxycodone to opioid naïve patients.

Methods

A retrospective analysis of multiple linked public health datasets in the state of Oregon. Adult patients ages 18 and older who a) received an initial prescription for oxycodone or hydrocodone between 2015–2017 and b) had no opioid prescriptions or opioid-related hospitalizations or emergency department visits in the year preceding the prescription were followed through the end of 2018. First-year chronic opioid use was defined as ≥6 opioid prescriptions (including index) and average ≤30 days uncovered between prescriptions. Fatal or non-fatal opioid overdose was indicated from insurance claims, hospital discharge data or vital records.

Results

After index prescription, 2.8% (n = 14,458) of individuals developed chronic use and 0.3% (n = 1,480) experienced overdose. After adjustment for patient and index prescription characteristics, patients receiving oxycodone had lower odds of developing chronic use relative to patients receiving hydrocodone (adjusted odds ratio = 0.95, 95% confidence interval (CI) 0.91–1.00) but a higher risk of overdose (adjusted hazard ratio (aHR) = 1.65, 95% CI 1.45–1.87). Oxycodone monotherapy appears to greatly increase the hazard of opioid overdose (aHR 2.18, 95% CI 1.86–2.57) compared with hydrocodone with acetaminophen. Oxycodone combined with acetaminophen also shows a significant increase (aHR 1.26, 95% CI 1.06–1.50), but not to the same extent.

Conclusions

Among previously opioid-naïve patients, the risk of developing chronic use was slightly higher with hydrocodone, whereas the risk of overdose was higher after oxycodone, in combination with acetaminophen or monotherapy. With a goal of reducing overdose-related deaths, hydrocodone may be the favorable agent.

Factors Associated With Opioid Overdose After an Initial Opioid Prescription

IMPORTANCE

The opioid epidemic continues to be a public health crisis in the US.

OBJECTIVE

To assess the patient factors and early time-varying prescription-related factors associated with opioid-related fatal or nonfatal overdose.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study evaluated opioid-naive adult patients in Oregon using data from the Oregon Comprehensive Opioid Risk Registry, which links all payer claims data to other health data sets in the state of Oregon. The observational, population-based sample filled a first (index) opioid prescription in 2015 and was followed up until December 31, 2018. Data analyses were performed from March 1, 2020, to June 15, 2021.

EXPOSURES

Overdose after the index opioid prescription.

MAIN OUTCOMES AND MEASURES

The outcome was an overdose event. The sample was followed up to identify fatal or nonfatal opioid overdoses. Patient and prescription characteristics were identified. Prescription characteristics in the first 6 months after the index prescription were modeled as cumulative, time-dependent measures that were updated monthly through the sixth month of follow-up. A time-dependent Cox proportional hazards regression model was used to assess patient and prescription characteristics that were associated with an increased risk for overdose events.

RESULTS

The cohort comprised 236 921 patients (133 839 women [56.5%]), of whom 667 (0.3%) experienced opioid overdose. Risk of overdose was highest among individuals 75 years or older (adjusted hazard ratio [aHR], 3.22; 95% CI, 1.94-5.36) compared with those aged 35 to 44 years; men (aHR, 1.29; 95% CI, 1.10-1.51); those who were dually eligible for Medicaid and Medicare Advantage (aHR, 4.37; 95% CI, 3.09-6.18), had Medicaid (aHR, 3.77; 95% CI, 2.97-4.80), or had Medicare Advantage (aHR, 2.18; 95% CI, 1.44-3.31) compared with those with commercial insurance; those with comorbid substance use disorder (aHR, 2.74; 95% CI, 2.15-3.50), with depression (aHR, 1.26; 95% CI, 1.03-1.55), or with 1 to 2 comorbidities (aHR, 1.32; 95% CI, 1.08-1.62) or 3 or more comorbidities (aHR, 1.90; 95% CI, 1.42-2.53) compared with none. Patients were at an increased overdose risk if they filled oxycodone (aHR, 1.70; 95% CI, 1.04-2.77) or tramadol (aHR, 2.80; 95% CI, 1.34-5.84) compared with codeine; used benzodiazepines (aHR, 1.06; 95% CI, 1.01-1.11); used concurrent opioids and benzodiazepines (aHR, 2.11; 95% CI, 1.70-2.62); or filled opioids from 3 or more pharmacies over 6 months (aHR, 1.38; 95% CI, 1.09-1.75).

CONCLUSIONS AND RELEVANCE

This cohort study used a comprehensive data set to identify patient and prescription-related risk factors that were associated with opioid overdose. These findings may guide opioid counseling and monitoring, the development of clinical decision-making tools, and opioid prevention and treatment resources for individuals who are at greatest risk for opioid overdose.

The glaring omission in hospital ranking and quality grading programs: emergency department boarding

Hospitals in the United States are assessed and ranked by several agencies and services, including U.S. News & World Report. Frequently, though, the key hospital throughput metric of inpatient boarding time in the emergency department (ED) is not considered when ranking hospitals. As a result, there is a discordance in which highly ranking hospitals may be poor performers in boarding of patients, a practice with known adverse safety effects. This article outlines the rationale for considering ED boarding in hospital ranking and quality assessments.

A machine learning based two-stage clinical decision support system for predicting patients' discontinuation from opioid use disorder treatment: retrospective observational study

Background

Buprenorphine is a widely used treatment option for patients with opioid use disorder (OUD). Premature discontinuation from this treatment has many negative health and societal consequences.

Objective

To develop and evaluate a machine learning based two-stage clinical decision-making framework for predicting which patients will discontinue OUD treatment within less than a year. The proposed framework performs such prediction in two stages: (i) at the time of initiating the treatment, and (ii) after two/three months following treatment initiation.

Methods

For this retrospective observational analysis, we utilized Massachusetts All Payer Claims Data (MA APCD) from the year 2013 to 2015. Study sample included 5190 patients who were commercially insured, initiated buprenorphine treatment between January and December 2014, and did not have any buprenorphine prescription at least one year prior to the date of treatment initiation in 2014. Treatment discontinuation was defined as at least two consecutive months without a prescription for buprenorphine. Six machine learning models (i.e., logistic regression, decision tree, random forest, extreme-gradient boosting, support vector machine, and artificial neural network) were tested using a five-fold cross validation on the input data. The first-stage models used patients’ demographic information. The second-stage models included information on medication adherence during the early phase of treatment based on the proportion of days covered (PDC) measure.

Results

A substantial percentage of patients (48.7%) who started on buprenorphine discontinued the treatment within one year. The area under receiving operating characteristic curve (C-statistic) for the first stage models varied within a range of 0.55 to 0.59. The inclusion of knowledge regarding patients’ adherence at the early treatment phase in terms of two-months and three-months PDC resulted in a statistically significant increase in the models’ discriminative power (p-value < 0.001) based on the C-statistic. We also constructed interpretable decision classification rules using the decision tree model.

Conclusion

Machine learning models can predict which patients are most at-risk of premature treatment discontinuation with reasonable discriminative power. The proposed machine learning framework can be used as a tool to help inform a clinical decision support system following further validation. This can potentially help prescribers allocate limited healthcare resources optimally among different groups of patients based on their vulnerability to treatment discontinuation and design personalized support systems for improving patients’ long-term adherence to OUD treatment.

Breaking the cycle: A public-private partnership to combat the American opioid epidemic

There has been an increased focus on the opioid epidemic in the United States, yet policy-based interventions such as prescription limits, restrictions on doctor shopping, and notification programs for high-volume prescribers have had no significant impact. In this paper, the authors explore a novel public health policy: a joint public-private partnership between the federal government and hospitals to establish long-term treatment centers for patients admitted to the emergency department after an overdose. These centers would provide medication for opioid use disorder, give individuals the necessary support for recovery, and reduce healthcare expenditures. Similar longitudinal strategies may be used in other areas of public health.

Hospital Occupancy and its Effect on Emergency Department Evaluation

STUDY OBJECTIVE

To examine whether hospital occupancy was associated with increased testing and treatment during emergency department (ED) evaluations, resulting in reduced admissions.

METHODS

We analyzed the electronic health records of an urban academic ED. We linked data from all ED visits from October 1, 2010, to May 29, 2015, with daily hospital occupancy (inpatients/total staffed beds). Outcome measures included the frequency of laboratory testing, advanced imaging, medication administration, and hospitalizations. We modeled each outcome using multivariable negative binomial or logistic regression, as appropriate, and examined their association with daily hospital occupancy quartiles, controlling for patient and visit characteristics. We calculated the adjusted outcome rates and relative changes at each daily hospital occupancy quartile using marginal estimating methods.

RESULTS

We included 270,434 ED visits with a mean patient age of 48.1 (standard deviation 19.8) years; 40.1% were female, 22.8% were non-Hispanic Black, and 51.5% were commercially insured. Hospital occupancy was not associated with differences in laboratory testing, advanced imaging, or medication administration. Compared with the first quartile, the third and fourth quartiles of daily hospital occupancy were associated with decreases of 1.5% (95% confidence interval [CI] -2.9 to -0.2; absolute change -0.6 percentage points [95% CI -1.2 to -0.1]) and 4.6% (95% CI -6.0 to -3.2; absolute change -1.9 percentage points [95% CI -2.5 to -1.3]) in hospitalizations, respectively.

CONCLUSION

The lack of association between hospital occupancy and laboratory testing, advanced imaging, and medication administration suggest that changes in ED testing or treatment did not facilitate the decrease in admissions during periods of high hospital occupancy.

Opioid Prescribing After Implementation of Single Click Access to a State Prescription Drug Monitoring Program Database in a Health System's Electronic Health Record

OBJECTIVES

To determine the effect of one-click integration of a state's prescription drug monitoring program (PDMP) on the number of PDMP searches and opioid prescriptions, stratified by specialty.

METHODS

Our large health system worked with the state department of public health to integrate the PDMP with the electronic health record (EHR), which enabled providers to query the data with a single click inside the EHR environment. We evaluated Schedule II or III opioid prescriptions reported to the Massachusetts PDMP 6 months before (November 15, 2017-May 15, 2018) and 6 months after (May 16, 2018, to November 16, 2018) integration. Search counts, prescriptions, patients, morphine milligram equivalents, as well as prescriber specialty were compared.

RESULTS

There were 3,185 unique prescribers with a record of a Schedule II and/or III opioid prescription in both study periods that met inclusion criteria. After integration, the number of PDMP searches increased from 208,684 in the pre-integration phase to 298,478 searches in the post-integration phase (+43.0%). The number of opioid prescriptions dispensed decreased by 4.8%, the number of patients receiving a prescription decreased by 5.1%, and the mean morphine milligram equivalents (MMEs) per prescriber decreased by 5.4%. There were some notable specialty-specific differences in these measures.

CONCLUSIONS

Integration of the PDMP into the EHR markedly increased the number of searches but was associated with modest decreases in opioids prescribed and patients receiving a prescription. Single click EHR integration of the PDMP, if implemented broadly, may be a way for states to significantly increase PDMP utilization.

Impact of High-Deductible Health Plans on Emergency Department Patients With Nonspecific Chest Pain and Their Subsequent Care

Supplemental Digital Content is available in the text.

Timely evaluation of acute chest pain is necessary, although most evaluations will not find significant coronary disease. With employers increasingly adopting high-deductible health plans (HDHP), how HDHPs impact subsequent care after an emergency department (ED) diagnosis of nonspecific chest pain is unclear.

Linkage of public health and all payer claims data for population-level opioid research

OBJECTIVE

Our objective is to describe how we combine, at an individual level, multiple administrative datasets to create a Comprehensive Opioid Risk Registry (CORR). The CORR will characterize the role that individual characteristics, household characteristics, and community characteristics have on an individual's risk of opioid use disorder or opioid overdose.

DATA SOURCES

Study data sources include the voluntary Oregon All Payer Claims Database (APCD), American Community Survey Census Data, Oregon Death Certificate data, Oregon Hospital Discharge Data (HDD), and Oregon Prescription Drug Monitoring (PDMP) Data in 2013-2018.

STUDY DESIGN

To create the CORR we first prepared the APCD data set by cleaning and geocoding addresses, creating a community grouper and adding census indices, creating household grouper, and imputing patient race. Then we deployed a probabilistic linkage methodology to incorporate other data sources maintaining compliance with strict data governance regulations.

DATA COLLECTION/EXTRACTION METHODS

Administrative datasets were obtained through an executed data use agreement with each data owner. The APCD served as the population universe to which all other data sources were linked.

PRINCIPAL FINDINGS

There were 3 628 992 unique people in the APCD over the entire study period. We identified 968 767 unique households in 2013 and 1 209 236 in 2018, and geocoded patient addresses representing all census tracts in Oregon. Census, death certificate, HDD, and PDMP datasets were successfully linked to this population universe.

CONCLUSIONS

This methodology can be replicated in other states and may also apply to a broad array of health services research topics.

The Burden of Opioid-Related Adverse Drug Events on Hospitalized Previously Opioid-Free Surgical Patients

OBJECTIVE

Opioid analgesics are a mainstay for acute pain management, but postoperative opioid administration has risks. We examined the prevalence, risk factors, and consequences of opioid-related adverse drug events (ORADEs) in a previously opioid-free surgical population.

METHODS

A retrospective, observational, cohort study using administrative, billing, clinical, and medication administration data from two hospitals. Data were collected for all adult patients who were opioid-free at admission, underwent surgery between October 1, 2015, and September 30, 2016, and received postoperative opioids. Potential ORADEs were determined based on inpatient billing codes or postoperative administration of naloxone. We determined independent predictors of ORADE development using multivariable logistic regression. We measured adjusted inpatient mortality, hospital costs, length of hospital stay, discharge destination, and readmission within 30 days for patients with and without ORADEs.

RESULTS

Among 13,389 hospitalizations where opioid-free patients had a single qualifying surgery, 12,218 (91%) received postoperative opioids and comprised the study cohort. Of these, we identified 1111 (9.1%) with a potential ORADE. Independent predictors of ORADEs included older age, several markers of disease severity, longer surgeries, and concurrent benzodiazepine use. Opioid-related adverse drug events were strongly associated with the route and duration of opioids administered postoperatively: 18% increased odds per day on intravenous opioids. In analyses adjusted for several covariates, presence of an ORADE was associated with 32% higher costs of hospitalization, 45% longer postoperative length of stay, 36% lower odds of discharge home, and 2.2 times the odds of death.

CONCLUSIONS

We demonstrate a high rate and severe consequences of potential ORADEs in previously opioid-free patients receiving postoperative opioids. Knowledge of risk factors and predictors of ORADEs can help develop targeted interventions to minimize the development of these potentially dangerous and costly events.

Trends in the Evaluation and Management of Back Pain in Emergency Departments, United States, 2007-2016

OBJECTIVE

Back pain is one of the most common pain syndromes in the United States, but there has been limited recent description of the role of emergency departments (EDs) in caring for patients with back pain. We investigated trends in the evaluation and management of back pain in U.S. EDs from 2007 to 2016.

METHODS

We performed a retrospective analysis of the National Hospital Ambulatory Medical Care Survey, a nationally representative annual survey of ED visits, which includes data on patient-, hospital-, and visit-level characteristics. We evaluated trends among adult ED visits for back pain, including demographics, resource utilization, and disposition. Trends were assessed through the use of survey-weighted analyses.

RESULTS

Visit rates as a proportion of overall ED visits were stable from 2007 to 2016 (9.1% [95% confidence interval (CI): 8.5-9.6] vs. 9.3% [95% CI: 8.6-10.0]; P = 0.44). Admission rates declined from 6.4% (95% CI: 5.1-8.0) to 5.0% (95% CI: 3.5-6.9; P < 0.001). Imaging utilization increased from 51.7% (95% CI: 49.3-54.1) to 57.6% (95% CI: 53.3-61.7; P = 0.023), with an increase of 58.3% in computed tomography. Overall opioid utilization declined from 53.5% (95% CI: 49.4-57.5) to 46.5% (95% CI: 43.2-49.8; P < 0.001). Tramadol use increased over the study period (4.1% [95% CI: 3.0-5.8] vs. 8.4% [95% CI: 6.6-10.7]; P < 0.001).

CONCLUSIONS

Opioid utilization during ED visits for back pain decreased from 2007 to 2016, whereas tramadol use more than doubled. Care intensity increased significantly despite declining admission rates. Further research into optimal strategies for back pain management in the ED is needed.

The impact of COVID-19 on statewide EMS use for cardiac emergencies and stroke in Massachusetts

OBJECTIVE

To evaluate the impact of coronavirus disease 2019 (COVID-19) on emergency medical services (EMS) use for time-sensitive medical conditions. We examined EMS use for cardiac arrest, stroke, and other cardiac emergencies across Massachusetts during the peak of the COVID-19 pandemic, evaluating their relationship to statewide COVID-19 incidence and a statewide emergency declaration.

METHODS

A retrospective analysis of all EMS calls between February 15 and May 15, 2020 and the same time period for 2019. EMS call volumes were compared before and after March 10, the date of a statewide emergency declaration.

RESULTS

A total of 408,758 calls were analyzed, of which 49,405 (12.1%) represented stroke, cardiac arrest, or other cardiac emergencies. Average call volume before March 10 was similar in both years but decreased significantly after March 10, 2020 by 18.7% (P < 0.001). Compared to 2019, there were 35.6% fewer calls for cardiac emergencies after March 10, 2020 (153.6 vs 238.4 calls/day, P < 0.001) and 12.3% fewer calls for stroke (40.0 vs 45.6 calls/day, P = 0.04). Calls for cardiac arrest increased 18.2% (28.6 vs 24.2 calls/day, P < 0.001). Calls for respiratory concerns also increased (208.8 vs 199.7 calls/day, P < 0.001). There was no significant association between statewide incidence of COVID-19 and EMS call volume.

CONCLUSIONS

EMS use for certain time-sensitive conditions decreased after a statewide emergency declaration, irrespective of actual COVID-19 incidence, suggesting the decrease was related to perception instead of actual case counts. These findings have implications for public health messaging. Measures must be taken to clearly inform the public that immediate emergency care for time-sensitive conditions remains imperative.

Brief Pain Inventory-Short Form: A New Method for Assessing Pain in the Emergency Department

OBJECTIVE

The numeric rating scale (NRS), which does not capture the multidimensional experience of pain, is commonly used to measure pain in the emergency department (ED). In this study, we assess the utility and feasibility of the Brief Pain Inventory-Short Form (BPI-SF) in the ED.

METHODS

This was a cross-sectional, prospective, convenience sample study of adult patients presenting to the ED with chest, abdominal, or musculoskeletal pain. Using confirmatory factor analysis, we investigated the construct validity of the BPI-SF. We determined the association between NRS and BPI-SF scores. We assessed the feasibility and utility of administering the BPI-SF in the ED setting by evaluating 1) the time required to complete the BPI-SF and 2) how patients perceive the BPI-SF compared with the NRS.

RESULTS

One hundred participants were included for analysis. The median NRS pain level on ED arrival (interquartile range [IQR]) was 7 (5-8). The median BPI-SF score (IQR) was 57 (43-73) on a 0-110 scale. Fit indices for the two-factor structure were statistically superior when compared with the one-factor model of the BPI-SF (comparative fit index 0.90 vs 0.64). Higher pain severity score, pain interference score, and total BPI-SF score were associated with higher NRS scores (P < 0.01). The mean time needed to complete the BPI-SF (SD) was 3 minutes 47 seconds (1 minute 35 seconds). Seventy-three percent of the patients preferred the BPI-SF to the NRS for pain assessment in the ED.

CONCLUSIONS

Our study demonstrates the validity, feasibility, and utility of the BPI-SF in the ED setting.

Prescription and Prescriber Specialty Characteristics of Initial Opioid Prescriptions Associated with Chronic Use

OBJECTIVE

This study evaluated the characteristics of opioid prescriptions, including prescriber specialty, given to opioid-naïve patients and their association with chronic use.

DESIGN

Cross-sectional analysis of the Ohio prescription drug monitoring program from January 2010 to November 2017.

SETTING

Ohio, USA.

SUBJECTS

Patients who had no opioid prescriptions from 2010 to 2012 and a first-time prescription from January 2013 to November 2016.

METHODS

Chronic use was defined as at least six opioid prescriptions in one year and either one or more years between the first and last prescription or an average of ≤30 days not covered by an opioid during that year.

RESULTS

A total of 4,252,809 opioid-naïve patients received their first opioid prescription between 2013 and 2016; 364,947 (8.6%) met the definition for chronic use. Those who developed chronic use were older (51.7 vs 45.6 years) and more likely to be female (53.6% vs 52.8%), and their first prescription had higher pill quantities (44.9 vs 30.2), higher morphine milligram equivalents (MME; 355.3 vs 200.0), and was more likely to be an extended-release formulation (2.9% vs 0.7%, all P < 0.001). When compared with internal medicine, the adjusted odds of chronic use were highest with anesthesiology (odds ratio [OR] = 1.46) and neurology (OR = 1.43) and lowest with ophthalmology (OR = 0.33) and gynecology (OR = 0.37).

CONCLUSIONS

Eight point six percent of opioid-naïve individuals who received an opioid prescription developed chronic use. This rate varied depending on the specialty of the provider who wrote the prescription. The risk of chronic use increased with higher MME content of the initial prescription and use of extended-release opioids.

Ambulance Calls for Substance-Related Issues Before and After COVID-19

Background: The United States is currently facing 2 epidemics: sustained morbidity and mortality from substance use and the more recent COVID-19 pandemic. We tested the hypothesis that the pandemic has disproportionately affected individuals with substance use disorder by evaluating average daily 9-1-1 ambulance calls for substance use-related issues compared with all other calls. Methods: This was a retrospective cross-sectional analysis of 9-1-1 ambulance calls before and after the start of COVID-19 in Massachusetts. We used consecutive samples of 9-1-1 ambulance calls, categorized into those which were substance-related or not. An interrupted time series analysis was performed to determine if there were changes in numbers of daily calls before a statewide declaration of emergency for COVID-19 (February 15-March 9, 2020), from the emergency declaration until a stay-at-home advisory (March 10-March 22, 2020) and following the stay-at-home advisory (March 23-May 15, 2020). Results: Compared with prior to the statewide emergency, the post-statewide emergency average of daily ambulance calls decreased from 2,453.2 to 1,969.6, a 19.7% decrease. Similarly, calls for substance-related reasons decreased by 16.4% compared with prior to the statewide emergency. However, despite an initial decrease in calls, after the stay-at-home advisory calls for substance use began increasing by 0.7 (95% confidence interval (CI) 0.4-1.1) calls/day, while calls for other reasons did not significantly change (+1.2 (95% CI -0.8 to 3.1) calls/day). Refusal of transport for substance-related calls increased from 5.0% before the statewide emergency to 7.5% after the declaration (p < 0.001). Conclusions: After an initial decline in substance-related ambulance calls following a statewide declaration of emergency, calls for substance use increased to pre-COVID-19 levels, while those for other reasons remained at a lower rate. The results suggest that COVID-19 is disproportionately affecting individuals with substance use disorder.

High-deductible health plans and low-value imaging in the emergency department

OBJECTIVE

To examine the effect of an employer-mandated switch to high-deductible health plans (HDHP) on emergency department (ED) low-value imaging.

DATA SOURCES

Claims data of a large national insurer between 2003 and 2014.

STUDY DESIGN

Difference-in-differences analysis with matched control groups.

DATA COLLECTION/EXTRACTION METHODS

The primary outcome is low-value imaging during ED visits for syncope, headache, or low back pain. We included members aged 19-63 years whose employers offered only low-deductible (≤$500) plans for one (baseline) year and, in the next (follow-up) year, offered only HDHPs (≥$1000). Contemporaneous members whose employers offered only low-deductible plans for two consecutive years served as controls. The groups were matched by person and employer propensity for HDHP switch, employer size, baseline calendar year, and baseline year quarterly number of total and imaged ED visits for each condition. We modeled the visit-level probability of low-value imaging using multivariable logistic regression with member-clustered standard errors. We also calculated population level monthly cumulative ED visit rates and modeled their trends using generalized linear regression adjusting for serial autocorrelation.

PRINCIPAL FINDINGS

After matching, we included 524 998 members in the HDHP group and 5 448 803 in the control group with a mean age of approximately 42 years and 48% female in both groups. On visit-level analyses, there were no significant differential changes in the probability of low-value imaging use in the HDHP and control groups. In population-level analyses, compared with control group members, members who switched to HDHPs experienced a relative decrease of 5.9% (95% CI - 10.3, -1.6) in ED visits for the study conditions and a relative decrease of 5.1% (95%CI -9.6, -0.6) in the subset of ED visits with low-value imaging.

CONCLUSION

Though HDHP switches decreased ED utilization, they had no significant effect on low-value imaging use after patients have decided to seek ED care.

Association Between Emergency Physician Length of Stay Rankings and Patient Characteristics

OBJECTIVE

Emergency physicians are commonly compared by their patients' length of stay (LOS). We test the hypothesis that LOS is associated with patient characteristics and that accounting for these features impacts physician LOS rankings.

METHODS

This was a retrospective observational study of all encounters at an emergency department in 2010 to 2015. We compared the characteristics of patients seen by physicians in different quartiles of LOS. Primary outcome was variation in patient characteristics at time of physician assignment (age, sex, comorbidities, Emergency Severity Index [ESI], and chief complaint) across LOS quartiles. We also quantified the change in LOS rankings after accounting for difference in characteristics of patients seen by different physicians.

RESULTS

A total of 264,776 encounters seen by 62 attending physicians met inclusion criteria. Physicians in the longest LOS quartile saw patients who were older (age = 49.1 vs 48.6 years, difference = +0.5 years, 95% confidence interval [CI] = 0.3 to 0.7) with more comorbidities (Gagne score = 1.3 vs. 0.9, difference = +0.4, 95% CI = 0.4 to 0.4) and higher acuity (ESI = 2.8 vs. 2.9, difference = -0.1, 95% CI = 0.1 to 0.1) than physicians in the shortest LOS quartile. The odds ratio (OR) of physicians in the longest LOS quartile seeing patients over age 50 compared to the shortest LOS quartile was 1.1 (95% CI = 1.0 to 1.1); the OR of physicians in the longest LOS quartile seeing patients with ESI of 1 or 2 was also 1.1 (95% CI = 1.0 to 1.1). Accounting for variation in patient characteristics seen by different physicians resulted in substantial reordering of physician LOS rankings: 62.9% (39/62) of physicians reclassified into a different quartile with mean absolute percentile change of 25.8 (95% CI = 20.3 to 31.3). A total of 62.5% (10/16) of physicians in the shortest LOS quartile and 56.3% (9/16) in the longest LOS quartile moved into a different quartile after accounting for variation in patient characteristics.

CONCLUSIONS

Length of stay was significantly associated with patient characteristics, and accounting for variation in patient characteristics resulted in substantial reordering of relative physician rankings by LOS. Comparisons of emergency physicians by LOS that do not account for patient characteristics should be reconsidered.

Effects of Rescheduling Hydrocodone on Opioid Prescribing in Ohio

BACKGROUND

We quantified opioid prescribing after the 2014 rescheduling of hydrocodone from schedule III to II in the United States using a state-wide prescription database and studied trends three years before and after the policy change, focusing on certain specialties.

METHODS

We used Ohio's state prescription drug monitoring program database, which includes all filled schedule II and III prescriptions regardless of payer or pharmacy, to conduct an interrupted time series analysis of the nine most prescribed opioids: hydrocodone, oxycodone, tramadol, codeine, and others. We analyzed hydrocodone prescribing trends for the physician specialties of internal medicine, anesthesiology, and emergency medicine. We evaluated trends 37 months before and after the rescheduling change.

RESULTS

Rescheduling was associated with a hydrocodone level change of -26,358 (95% confidence interval [CI] = -36,700 to -16,016) prescriptions (-5.8%) and an additional decrease in prescriptions of -1,568 (95% CI = -2,296 to -839) per month (-0.8%). Codeine prescribing temporarily increased, at a level change of 6,304 (95% CI = 3,003 to 9,606) prescriptions (18.5%), indicating a substitution effect. Hydrocodone prescriptions by specialty were associated with a level change of -805 (95% CI = -1,280 to -330) prescriptions (-8.5%) for anesthesiologists and a level change of -14,619 (95% CI = -23,710 to -5,528) prescriptions (-10.2%) for internists. There was no effect on prescriptions by emergency physicians.

CONCLUSIONS

The 2014 federal rescheduling of hydrocodone was associated with declines in hydrocodone prescriptions in Ohio beyond what had already been occurring, and hydrocodone may have been briefly substituted with codeine. These results indicate that rescheduling did have a lasting effect but affected prescribing specialties variably.

Change in opioid policies in New England emergency departments, 2014 vs 2018

OBJECTIVE

The U.S. opioid epidemic persists, yet it is unclear if opioid-related emergency department (ED) policies have changed. We investigated: 1) the prevalence of opioid use disorder (OUD) prevention and treatment policies in New England EDs in 2018, and 2) how these policies have changed since 2014.

METHODS

Using the National Emergency Department Inventory-USA, we identified and surveyed all New England EDs in 2015 and 2019 about opioid-related policies in 2014 and 2018, respectively. The surveys assessed OUD prevention policies (to use a screening tool, access the Prescription Drug Monitoring Program [PDMP], notify primary care providers, prescribe/dispense naloxone) and treatment policies (to refer to recovery resources, prescribe/dispense buprenorphine).

RESULTS

Of 194 EDs open in 2018, 167 (86 %) completed the survey. Of 193 EDs open in 2018 and 2014, 147 (76 %) completed both surveys. In 2018, the most commonly-reported policy was accessing the PDMP (96 %); the least commonly-reported policy was prescribing/dispensing buprenorphine to at risk patients (37 %). EDs varied in prescribing/dispensing naloxone: 35 % of EDs offered naloxone to ≥80 % of patients at risk of opioid overdose versus 33 % of EDs to <10 % of patients at risk. Most EDs (74 %) reported prescribing/dispensing buprenorphine to <10 % of patients with OUD. Comparing 2018 to 2014, the greatest difference in policy use was in prescribing/dispensing naloxone (+55 %, p < 0.001).

CONCLUSION

Implementation of opioid-related ED policies increased between 2014 and 2018. Continued effort is needed to understand the extent to which policy implementation translates to clinical care, and to best translate evidence-based policies into clinical practice.

One year mortality of patients treated with naloxone for opioid overdose by emergency medical services

Study objective: Prehospital use of naloxone for presumed opioid overdose has increased markedly in recent years because of the current opioid overdose epidemic. In this study, we determine the 1-year mortality of suspected opioid overdose patients who were treated with naloxone by EMS and initially survived. Methods: This was a retrospective observational study of patients using three linked statewide datasets in Massachusetts: emergency medical services (EMS), a master demographics file, and death records. We included all suspected opioid overdose patients who were treated with naloxone by EMS. The primary outcome measures were death within 3 days of treatment and between 4 days and 1 year of treatment. Results: Between July 1, 2013 and December 31, 2015, there were 9734 individuals who met inclusion criteria and were included for analysis. Of these, 807 (8.3% (95% confidence interval (CI) 7.7-8.8%)) died in the first 3 days, 668 (6.9% (95% CI 6.4-7.4%)) died between 4 days and 1 year, and 8259 (84.8% (95% CI 84.1-85.6%)) were still alive at 1 year. Excluding those who died within 3 days, 668 of the remaining 8927 individuals (7.5% (95% CI 6.9-8.0%)) died within 1 year. Conclusion: The 1-year mortality of those who are treated with naloxone for opioid overdose by EMS is high. Communities should focus both on primary prevention and interventions for this patient population, including strengthening regional treatment centers and expanding access to medication for opioid use disorder.

A Comparison of Short Forms of the Screener and Opioid Assessment for Patients With Pain – Revised (SOAPP-R)

Abstract. The Screener and Opioid Assessment for Patients with Pain – Revised (SOAPP-R) is a 24-item self-report questionnaire that assesses risk of aberrant medication-related behavior among chronic pain patients. Recently, an 8-item version of the SOAPP-R that weights items differentially was proposed. However, no previous study had compared the 8-item form with other short versions of the SOAPP-R, including a static 12-item short form and computer-based versions customizing the test length to the individual respondent. Moreover, no prior research had investigated combining the 8-item short form with customized computer-based stopping rules to further enhance efficiency. The objectives of this study were to compare the 8-item version with previously recommended short forms of the SOAPP-R, and to develop and evaluate a new version of the SOAPP-R combining the 8-item version with computer-based stopping rules. Versions were compared via sensitivity, specificity, and mean test length using real-data simulation of three datasets. Although results varied across datasets, the 8-item SOAPP-R compared favorably to previously recommended forms. Combining the 8-item form with computer-based stopping rules reduced the mean test length without affecting sensitivity or specificity; thus, the combined approach is recommended. The methodology used to shorten questionnaires via computer-based testing can also be applied to other instruments.

Emergency Department Clinicians' Attitudes Toward Opioid Use Disorder and Emergency Department-initiated Buprenorphine Treatment: A Mixed-Methods Study

Introduction

Emergency department (ED) visits related to opioid use disorder (OUD) have increased nearly twofold over the last decade. Treatment with buprenorphine has been demonstrated to decrease opioid-related overdose deaths. In this study, we aimed to better understand ED clinicians’ attitudes toward the initiation of buprenorphine treatment in the ED.

Methods

We performed a mixed-methods study consisting of a survey of 174 ED clinicians (attending physicians, residents, and physician assistants) and semi-structured interviews with 17 attending emergency physicians at a tertiary-care academic hospital.

Results

A total of 93 ED clinicians (53% of those contacted) completed the survey. While 80% of respondents agreed that buprenorphine should be administered in the ED for patients requesting treatment, only 44% felt that they were prepared to discuss medication for addiction treatment. Compared to clinicians with fewer than five years of practice, those with greater experience were less likely to approve of ED-initiated buprenorphine. In our qualitative analysis, physicians had differing perspectives on the role that the ED should play in treating OUD. Most physicians felt that a buprenorphine-based intervention in the ED would be feasible with institutional support, including training opportunities, protocol support within the electronic health record, counseling and support staff, and a robust referral system for outpatient follow-up.

Conclusion

ED clinicians’ perception of buprenorphine varied by years of practice and training level. Most ED clinicians did not feel prepared to initiate buprenorphine in the ED. Qualitative interviews identified several addressable barriers to ED-initiated buprenorphine.

Physician Responses to Enhanced Prescription Drug Monitoring Program Profiles

OBJECTIVE

Many states have begun implementing enhancements to PDMP patient profiles such as summaries or graphics to highlight issues of concern and enhance comprehension. The purpose of this study was to examine how physicians respond to sample enhanced PDMP profiles based on patient vignettes.

DESIGN

Brief semistructured interviews with physicians.

SETTING

Three national medical conferences for targeted specialties.

SUBJECTS

Ninety-three physicians practicing in primary care, emergency medicine, or pain management.

METHODS

We presented participants with one of three patient vignettes with corresponding standard and enhanced PDMP profiles and conducted brief interviews.

RESULTS

Findings indicated that enhanced profiles could increase ease of comprehension, reduce time burden, and aid in communicating with patients about opioid risks. Physicians also expressed concern about liability for prescribing when the enhanced profile indicates risk and cautioned against any implication that risk warnings should override clinical judgment based on the patient's complete medical history or presenting condition. Physicians emphasized the need for transparency of measures and evidence of validation of risk scores. We found little indication that enhanced profiles would change opioid prescribing decisions, though decisions varied by physician.

CONCLUSIONS

Our study underscores the importance of involving prescribers in developing and testing PDMP profile enhancements, as well as providing guidance in the interpretation and clinical use of enhanced profiles. Reduced time burden is an important benefit to consider as the number of states mandating PDMP use increases.

How Emergency Physicians Approach Refusal of Observation after Naloxone Resuscitation

BACKGROUND

Patients who are resuscitated with naloxone frequently refuse a period of observation, even though they may be suffering from a variety of medical and psychiatric comorbidities. Emergency physicians (EPs) are then confronted with the challenge of how best to serve patients' interests while respecting autonomy.

OBJECTIVES

We sought to characterize how EPs think about this kind of dilemma and the strategies they use to resolve them.

METHODS

We conducted qualitative semi-structured interviews with a convenience sample of 59 emergency physicians attending the American College of Emergency Physicians' Scientific Assembly in October 2018. Three case vignettes highlighting different clinical and ethical features served as prompts. Interviews were analyzed using a constant comparative method to identify patterns of responses and derive key themes.

RESULTS

Across the vignettes, EPs demonstrated diverse approaches to observation, assessing decision-making capacity and encouraging compliance. Some EPs refused to comply with a patient's wishes even when they had determined a patient demonstrated capacity. Conversely, a few EPs were willing to allow patients to leave the emergency department (ED) without assessing capacity, or despite determining that the patient lacked capacity. Common reasons for complying with patients' demands were concerns about the patients' rights and concerns about the safety of staff. Most physicians interviewed reported no institutional guidelines or education on the topic, and many physicians expressed an interest in providing medication for addiction treatment in the ED.

CONCLUSIONS

EPs approach this clinical and ethical dilemma in widely divergent ways. Consensus about strategies for navigating patients' wishes relative to clinical concerns are needed to help EPs manage these challenging cases.

Implementation of liposomal bupivacaine transversus abdominis plane blocks into the colorectal enhanced recovery after surgery protocol: a natural experiment

BACKGROUND

Enhanced recovery after surgery (ERAS) programs are now standard of care for colorectal surgery. Efforts have been aimed at decreasing postoperative opioid consumption. The goal of this study is to evaluate the effect of liposomal bupivacaine transversus abdominis plane (TAP) blocks on opioid use and its downstream effect on rates of ileus and hospital length of stay (LOS).

METHODS

We performed a retrospective pre- and postintervention time-trend analysis (2016-2018) of ERAS patients undergoing laparoscopic colorectal surgery at two academic medical centers within the same hospital system. The intervention was liposomal bupivacaine TAP blocks versus standard local infiltration with bupivacaine with a primary outcome of total morphine milligram equivalents (MME) administered within 72 h of surgery. Secondary outcomes included hospital LOS and rate of postoperative ileus.

RESULTS

There were 556 patients included at the control hospital, and 384 patients were included at the treatment hospital. Patients at both hospitals were similar with regard to age, body mass index, comorbidities, and surgical indication. In an adjusted time-trend analysis, the treatment hospital was associated with a significant decrease in MME administered (- 15.9 mg, p = 0.04) and hospital LOS (- 0.8 days, p < 0.001). There was no significant decrease in the rate of ileus at the treatment hospital (- 6.9%, p = 0.08).

CONCLUSIONS

In a time-trend analysis, the addition of liposomal bupivacaine TAP blocks into the ERAS protocol resulted in significantly reduced opioid use and shorter hospital LOS for patients undergoing surgery at the treatment hospital. Liposomal bupivacaine TAP blocks should be considered for inclusion in the standard ERAS protocol.