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

BACKGROUND: The NaV1.8 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 NaV1.8, on control of acute pain is being studied. METHODS: After establishing the selectivity of VX-548 for NaV1.8 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.).

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.

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.

Navigating Care Refusal and Noncompliance in Patients with Opioid Use Disorder.

BACKGROUND: For many emergency physicians (EPs), deciding whether or not to allow a patient suffering the ill effects of opioid use to refuse care is the most frequent and fraught situation in which they encounter issues of decision-making capacity, informed refusal, and autonomy. Despite the frequency of this issue and the well-known impacts of opioid use disorder on decision-making, the medical ethics community has offered little targeted analysis or guidance regarding these situations. DISCUSSION: As a result, EPs demonstrate significant variability in how they evaluate and respond to them, with highly divergent understandings and application of concepts such as decision-making capacity, informed consent, autonomy, legal repercussions, and strategies to resolve the clinical dilemma. In this paper, we seek to provide more clarity to this issue for the EPs. CONCLUSIONS: Successfully navigating this issue requires that EPs understand the specific effects that opioid use disorder has on decision-making, and how that in turn bears on the ethical concepts of autonomy, capacity, and informed refusal. Understanding these concepts can lead to helpful strategies to resolve these commonly-encountered dilemmas.

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.

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

BACKGROUND: 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. METHODS: Using a commercial and Medicare Advantage claims database, we identified members 19 to 63 years old whose employers exclusively offered low-deductible (≤$500) plans in 1 year, then, at an index date, mandated enrollment in HDHPs (≥$1000) for a subsequent year. We matched them with contemporaneous members whose employers only offered low-deductible plans. Primary outcomes included population rates of index ED visits with a principal diagnosis of nonspecific chest pain, admission during index ED visits, and index ED visits followed by noninvasive cardiac testing within 3 and 30 days, coronary revascularization, and acute myocardial infarction hospitalization within 30 days. We performed a cumulative interrupted time-series analysis, comparing changes in annual outcomes between the HDHP and control groups before and after the index date using aggregate-level segmented regression. Members from higher-poverty neighborhoods were a subgroup of interest. RESULTS: After matching, we included 557 501 members in the HDHP group and 5 861 990 in the control group, with mean ages of 42.0 years, 48% to 49% female, and 67% to 68% non-Hispanic White individuals. Employer-mandated HDHP switches were associated with a relative decrease of 4.3% (95% CI, -5.9 to -2.7; absolute change, -4.5 [95% CI, -6.3 to -2.8] per 10 000 person-years) in nonspecific chest pain ED visits and 11.3% (95% CI, -14.0 to -8.6) decrease (absolute change, -1.7 per 10 000 person-years [95% CI, -2.1 to -1.2]) in visits leading to hospitalization. There was no significant decrease in subsequent noninvasive testing or revascularization procedures. An increase in 30-day acute myocardial infarction admissions was not statistically significant (15.9% [95% CI, -1.0 to 32.7]; absolute change, 0.3 per 10 000 person-years [95% CI, -0.01 to 0.5]) but was significant among members from higher-poverty neighborhoods. CONCLUSIONS: Employer-mandated HDHP switches were associated with decreased nonspecific chest pain ED visits and hospitalization from these ED visits, but no significant change in post-ED cardiac testing. However, HDHP enrollment was associated with increased 30-day acute myocardial infarction admission after ED diagnosis of nonspecific chest pain among members from higher-poverty neighborhoods.

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.

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.

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.

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.

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.

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.

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.

The effect of a nursing strike on emergency department operational metrics.

BACKGROUND: In July of 2017, after more than 15 months of negotiations, an academic teaching hospital in Boston failed to reach an agreement on the terms of contract renewal with its nursing union resulting in a strike. Replacement nurses were hired by the hospital to fulfill nursing duties for five days. OBJECTIVES: This study aims to measure the effects of this nursing strike on the patients seen in the emergency department (ED) by examining operational metrics before and during the strike. METHODS: Retrospective analysis of patient visits occurring for the five days of the strike (July 12-16, 2017) compared with the analogous five-day period immediately preceding that of the strike (July 5-9, 2017). RESULTS: During the strike, ED volume decreased by 23.6% (691 vs. 528 visits), and the decrease was more pronounced for adult vs. pediatric visits. There were no differences in patient sex, race/ethnicity or age groups. EMS transports decreased by 49.1% (171 vs. 87 transports). Although patient dispositions were similar in both periods, length of stay decreased for discharged patients (median 204 vs 178 minutes, p=0.01), and did not change significantly for admitted patients (median 322 vs. 320 minutes, p=0.33). There was one patient death in each of the periods. CONCLUSION: Although rare, nursing strikes do occur. These data may be useful for hospitals preparing for a strike.

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.

Medicaid Expansion Reduced Emergency Department Visits by Low-income Adults Due to Barriers to Outpatient Care.

BACKGROUND: Prior studies have found conflicting effects of Medicaid expansion on emergency department (ED) utilization but have not studied the reasons patients go to EDs. OBJECTIVES: Examine the changes in reasons for ED use associated with Medicaid expansion. RESEARCH DESIGN: Difference-in-difference analysis. SUBJECTS: We included sample adults from the 2012 to 2017 National Health Interview Survey who were US citizens and reported a total family income below 138% federal poverty level (n=30,259). MEASURES: We examined changes in the proportion of study subjects reporting: (1) any ED visits; (2) ED visits due to perceived illness severity; (3) office not open; and (4) barriers to outpatient care, comparing expansion and nonexpansion states. RESULTS: Overall, 30.6% of low-income adults reported ED use in the past year, of which 74.1% reported illness acuity, 12.4% reported office not open, 9.5% reported access barriers, and 4.0% did not report any reason. Medicaid expansion was not associated with statistically significant changes in overall ED use [-2.2% (95% confidence interval-CI), -5.5% to 1.2%), P=0.21], ED visits due to perceived illness severity [0.5% (95% CI, -2.4% to 3.5%), P=0.73], or office not open [-0.9% (95% CI, -2.3% to 0.5%); P=0.22], but was associated with significant decrease in ED visits due to access barriers [-1.4% (95% CI, -2.6% to -0.2%), P=0.022]. CONCLUSIONS: Medicaid expansion was associated with a decrease in low-income adults who reported outpatient care barriers as reasons for ED visits. There were no significant changes in overall ED utilization, likely because the majority of respondent reported ED use due to concerns with illness severity or outpatient office was closed.

One-Year Mortality of Patients After Emergency Department Treatment for Nonfatal Opioid Overdose.

STUDY OBJECTIVE: Despite the increased availability of naloxone, death rates from opioid overdose continue to increase. The goal of this study is to determine the 1-year mortality of patients who were treated for a nonfatal opioid overdose in Massachusetts emergency departments (EDs). METHODS: This was a retrospective observational study of patients from 3 linked statewide Massachusetts data sets: a master demographics list, an acute care hospital case-mix database, and death records. Patients discharged from the ED with a final diagnosis of opioid overdose were included. The primary outcome measure was death from any cause within 1 year of overdose treatment. RESULTS: During the study period, 17,241 patients were treated for opioid overdose. Of the 11,557 patients who met study criteria, 635 (5.5%) died within 1 year, 130 (1.1%) died within 1 month, and 29 (0.25%) died within 2 days. Of the 635 deaths at 1 year, 130 (20.5%) occurred within 1 month and 29 (4.6%) occurred within 2 days. CONCLUSION: The short-term and 1-year mortality of patients treated in the ED for nonfatal opioid overdose is high. The first month, and particularly the first 2 days after overdose, is the highest-risk period. Patients who survive opioid overdose should be considered high risk and receive interventions such as being offered buprenorphine, counseling, and referral to treatment before ED discharge.

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.

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.