Impact of 30-day prescribed opioid dose trajectory on fatal overdose risk: A population-based, statewide cohort study.

BACKGROUND: Both increases and decreases in patients' prescribed daily opioid dose have been linked to increased overdose risk, but associations between 30-day dose trajectories and subsequent overdose risk have not been systematically examined. OBJECTIVE: To examine the associations between 30-day prescribed opioid dose trajectories and fatal opioid overdose risk during the subsequent 15 days. DESIGN: Statewide cohort study using linked prescription drug monitoring program and death certificate data. We constructed a multivariable Cox proportional hazards model that accounted for time-varying prescription-, prescriber-, and pharmacy-level factors. PARTICIPANTS: All patients prescribed an opioid analgesic in California from March to December, 2013 (5,326,392 patients). MAIN MEASURES: Dependent variable: fatal drug overdose involving opioids. Primary independent variable: a 16-level variable denoting all possible opioid dose trajectories using the following categories for current and 30-day previously prescribed daily dose: 0-29, 30-59, 60-89, or ≥90 milligram morphine equivalents (MME). KEY RESULTS: Relative to patients prescribed a stable daily dose of 0-29 MME, large (≥2 categories) dose increases and having a previous or current dose ≥60 MME per day were associated with significantly greater 15-day overdose risk. Patients whose dose decreased from ≥90 to 0-29 MME per day had significantly greater overdose risk compared to both patients prescribed a stable daily dose of ≥90 MME (aHR 3.56, 95%CI 2.24-5.67) and to patients prescribed a stable daily dose of 0-29 MME (aHR 7.87, 95%CI 5.49-11.28). Patients prescribed benzodiazepines also had significantly greater overdose risk; being prescribed Z-drugs, carisoprodol, or psychostimulants was not associated with overdose risk. CONCLUSIONS: Large (≥2 categories) 30-day dose increases and decreases were both associated with increased risk of fatal opioid overdose, particularly for patients taking ≥90 MME whose opioids were abruptly stopped. Results align with 2022 CDC guidelines that urge caution when reducing opioid doses for patients taking long-term opioid for chronic pain.

An evaluation of first responders' intention to refer to post-overdose services following SHIELD training.

BACKGROUND: First responders [law enforcement officers (LEO) and Fire/Emergency Medical Services (EMS)] can play a vital prevention role, connecting overdose survivors to treatment and recovery services. This study was conducted to examine the effect of occupational safety and harm reduction training on first responders' intention to refer overdose survivors to treatment, syringe service, naloxone distribution, social support, and care-coordination services, and whether those intentions differed by first responder profession. METHODS: First responders in Missouri were trained using the Safety and Health Integration in the Enforcement of Laws on Drugs (SHIELD) model. Trainees' intent to refer (ITR) overdose survivors to prevention and supportive services was assessed pre- and post-training (1-5 scale). A mixed model analysis was conducted to assess change in mean ITR scores between pre- and post-training, and between profession type, while adjusting for random effects between individual trainees and baseline characteristics. RESULTS: Between December 2020 and January 2023, 742 first responders completed pre- and post-training surveys. SHIELD training was associated with higher first responders' intentions to refer, with ITR to naloxone distribution (1.83-3.88) and syringe exchange (1.73-3.69) demonstrating the greatest changes, and drug treatment (2.94-3.95) having the least change. There was a significant increase in ITR score from pre- to post-test (ß = 2.15; 95% CI 1.99, 2.30), and LEO-relative to Fire/EMS-had a higher score at pre-test (0.509; 95% CI 0.367, 0.651) but a lower score at post-test (0.148; 95% CI - 0.004, 0.300). CONCLUSION: Training bundling occupational safety with harm reduction content is immediately effective at increasing first responders' intention to connect overdose survivors to community substance use services. When provided with the rationale and instruction to execute referrals, first responders are amenable, and their positive response highlights the opportunity for growth in increasing referral partnerships and collaborations. Further research is necessary to assess the extent to which ITR translates to referral behavior in the field.

Reducing overdose deaths among persons with opioid use disorder in connecticut.

BACKGROUND: People in Connecticut are now more likely to die of a drug-related overdose than a traffic accident. While Connecticut has had some success in slowing the rise in overdose death rates, substantial additional progress is necessary. METHODS: We developed, verified, and calibrated a mechanistic simulation of alternative overdose prevention policy options, including scaling up naloxone (NLX) distribution in the community and medications for opioid use disorder (OUD) among people who are incarcerated (MOUD-INC) and in the community (MOUD-COM) in a simulated cohort of people with OUD in Connecticut. We estimated how maximally scaling up each option individually and in combinations would impact 5-year overdose deaths, life-years, and quality-adjusted life-years. All costs were assessed in 2021 USD, employing a health sector perspective in base-case analyses and a societal perspective in sensitivity analyses, using a 3% discount rate and 5-year and lifetime time horizons. RESULTS: Maximally scaling NLX alone reduces overdose deaths 20% in the next 5 years at a favorable incremental cost-effectiveness ratio (ICER); if injectable rather than intranasal NLX was distributed, 240 additional overdose deaths could be prevented. Maximally scaling MOUD-COM and MOUD-INC alone reduce overdose deaths by 14% and 6% respectively at favorable ICERS. Considering all permutations of scaling up policies, scaling NLX and MOUD-COM together is the cost-effective choice, reducing overdose deaths 32% at ICER $19,000/QALY. In sensitivity analyses using a societal perspective, all policy options were cost saving and overdose deaths reduced 33% over 5 years while saving society $338,000 per capita over the simulated cohort lifetime. CONCLUSIONS: Maximally scaling access to naloxone and MOUD in the community can reduce 5-year overdose deaths by 32% among people with OUD in Connecticut under realistic budget scenarios. If societal cost savings due to increased productivity and reduced crime costs are considered, one-third of overdose deaths can be reduced by maximally scaling all three policy options, while saving money.

Willingness to Provide Naloxone Resources for Patients at Risk of Opioid Overdose: A National Survey of Emergency Registered Nurses.

INTRODUCTION: Opioid-related events continue to claim lives in the United States at alarming rates. Naloxone-dispensing rates fall dramatically short of national expectations. Emergency registered nurses are uniquely poised to connect at-risk patients with naloxone resources. This study sought to (1) describe the emergency registered nurses' willingness to provide naloxone resources and (2) explore variables that may influence the nurse's willingness to provide resources. METHODS: A cross-sectional, survey-based design was deployed using an online branch logic approach to include a national sample of emergency registered nurses. The Willingness to Provide, a validated questionnaire, measured the registered nurse's willingness to provide naloxone resources for patients at risk of opioid overdose. Eight variables were assessed for potential influence on willingness. RESULTS: A total of 159 nurses from 32 states and the District of Columbia completed the online survey via the Research Electronic Data Capture platform. The results revealed a mean Willingness to Provide score of 38.64 indicating a willingness to provide naloxone resources. A statistically significant relationship was identified between the nurse's willingness and years of nursing experience (P = .001), knowledge (P = .015), desire (P = .001), and responsibility (P < .001). DISCUSSION: In this representative sample, emergency nurses are willing to provide naloxone resources; furthermore, results indicate that higher knowledge, desire, and responsibility scores increase the nurse's willingness to provide naloxone resources; with education and clear expectations, emergency nurses may be able to improve the connection of patients at risk of opioid overdose with naloxone, a potentially lifesaving connection.

Outcomes following heart or bilateral-lung transplantation from donors who died of drug toxicity in British Columbia, Canada.

INTRODUCTION: The illicit drug toxicity (overdose) crisis has worsened across Canada; between 2016 and 2021, more than 28,000 individuals have died of drug toxicity. Organ donation from persons who experience drug toxicity death (DTD) has increased in recent years. This study examines whether survival after heart or bilateral-lung transplantation differed by donor cause of death. METHODS: We studied transplant recipients in British Columbia who received heart (N = 110) or bilateral-lung (N = 223) transplantation from deceased donors aged 12-70 years between 2013 and 2019. Transplant recipient survival was compared by donor cause of death from drug toxicity or other. Five-year Kaplan-Meier estimates of survival and 3-year inverse probability treatment weighted Cox proportional hazards models were conducted. RESULTS: DTD donors made up 36% (40/110) of heart and 24% (54/223) of bilateral-lung transplantations. DTD donors were more likely to be young, white, and male. Unadjusted 5-year recipient survival was similar by donor cause of death (heart: 87% for DTD and 86% for non-DTD, p = .75; bilateral- lung: 80% for DTD and 76% for non-DTD, p = .65). Adjusted risk of mortality at 3-years post-transplant was similar between recipients of DTD and non-DTD donor heart (hazard ratio [HR]: .94, 95% confidence interval (CI): .22-4.07, p = .938) and bilateral-lung (HR: 1.06, 95% CI: .41-2.70, p = .908). CONCLUSION: Recipient survival after heart or bilateral-lung transplantation from DTD donors and non-DTD donors was similar. Donation from DTD donors is safe and should be considered more broadly to increase organ donation.

Opioid toxicity deaths in Black persons who experienced provincial incarceration in Ontario, Canada 2015-2020: A population-based study.

OBJECTIVE: In the context of mass incarceration and the opioid toxicity crisis in North America, there is a lack of data on the burden of opioid toxicity deaths in Black persons who experience incarceration. We aimed to describe absolute and relative opioid toxicity mortality for Black persons who experienced incarceration in Ontario, Canada between 2015 and 2020. METHODS: We linked data for all persons incarcerated in provincial correctional facilities and all persons who died from opioid toxicity in Ontario between 2015 and 2020, and accessed public data on population sizes. We described the characteristics of Black persons who were incarcerated and died from opioid toxicity, and calculated absolute mortality rates, as well as age-standardized mortality rates compared with all persons in Ontario not incarcerated during this period. RESULTS: Between 2015 and 2020, 0.9% (n = 137) of 16,177 Black persons who experienced incarceration died from opioid toxicity in custody or post-release, for an opioid toxicity death rate of 0.207 per 100 person years. In the two weeks post-release, the opioid toxicity death rate was 1.34 per 100 person years. Standardized for age and compared with persons not incarcerated, the mortality ratio (SMR) was 17.8 (95%CI 16.4-23.1) for Black persons who experienced incarceration. CONCLUSIONS: We identified a large, inequitable burden of opioid toxicity death for Black persons who experience incarceration in Ontario, Canada. Work is needed to support access to culturally appropriate prevention and treatment in custody and post-release for persons who are Black, and to prevent incarceration and improve determinants of health.

The impact of obesity in patients hospitalized with opioid/opiate overdose.

Background: Although a direct link between opioid use in obese patients and risk of overdose has not been established, obesity is highly associated with higher risk for opioid/opiate overdose. Evidence for clinical impact of obesity on patients with opioid/opiate overdose is scarce. The aim of this study was to determine effects of obesity on health-care outcomes and mortality trends in hospitalized patients who presented with opioid/opiate overdose in the United States between 2010 and 2014. Design: Multivariate logistic and linear regression analysis compared clinical outcomes and hospital resource utilization between obese and nonobese patients. Trend analysis of in-hospital mortality was also analyzed. Setting: United States. Participants: 302,863 adults ≥ 18 years and hospitalized with a principle diagnosis of opioid/opiate overdoses between 2010 and 2014. Measurements: Primary measurement was in-hospital mortality. Secondary measurements included respiratory failure, cardiogenic shock, mechanical ventilations/intubations, hospital charges, and length of stay. Findings: Prevalence for in-hospital mortality was lower in patients with obesity (2.2% vs 2.9%). Obese patients had higher adjusted odds for respiratory failure (aOR = 1.7, [(CI) 1.6-1.8]) and mechanical ventilation/intubation (aOR = 1.17, [(CI) 1.10-1.2]). They also had longer length of stays (aMD = 0.4 days, [(CI) 0.25-0.58 days] and higher total hospital charges (aMD = $5,561, [(CI) $3,638-$7,483]. Trends of in-hospital mortality for patients with obesity did not significantly increase (2.1% in 2010 to 2.4% in 2014, p trend = 0.37), but significantly increased for obese patients (2.4% in 2010 to 3.4% in 2014; p trend <0.01). Conclusions: Prevalence and trends of mortality were lower in patients with obesity hospitalized for opiate/opioid overdose compared to those without obesity between 2010 and 2014 in the United States.

Impact of a shelter-in-place order during the COVID-19 pandemic on the incidence of opioid overdoses.

INTRODUCTION: Since the beginning of the novel coronavirus (COVID-19) pandemic in the United States, there have been concerns about the potential impact of the pandemic on persons with opioid use disorder. Shelter-in-place (SIP) orders, which aimed to reduce the spread and scope of the virus, likely also impacted this patient population. This study aims to assess the role of the COVID-19 pandemic on the incidence of opioid overdose before and after a SIP order. METHODS: A retrospective review of the incidence of opioid overdoses in an urban three-hospital system was conducted. Comparisons were made between the first 100 days of a city-wide SIP order during the COVID-19 pandemic and the 100 days during the COVID-19 pandemic preceding the SIP order (Pre-SIP). Differences in observed incidence and expected incidence during the SIP period were evaluated using a Fisher's Exact test. RESULTS: Total patient visits decreased 22% from 46,078 during the Pre-SIP period to 35,971 during the SIP period. A total of 1551 opioid overdoses were evaluated during the SIP period, compared to 1665 opioid overdoses during the Pre-SIP period, consistent with a 6.8% decline. A Fisher's Exact Test demonstrated a p < 0.0001, with a corresponding Odds Ratio of 1.20 with a 95% confidence interval (1.12;1.29). CONCLUSION: The COVID-19 pandemic and the associated SIP order were associated with a statistically and clinically significant increase in the proportion of opioid overdoses in relation to the overall change in total ED visits.

Mitigating the heroin crisis in Baltimore, MD, USA: a cost-benefit analysis of a hypothetical supervised injection facility.

BACKGROUND: In Baltimore, MD, as in many cities throughout the USA, overdose rates are on the rise due to both the increase of prescription opioid abuse and that of fentanyl and other synthetic opioids in the drug market. Supervised injection facilities (SIFs) are a widely implemented public health intervention throughout the world, with 97 existing in 11 countries worldwide. Research has documented the public health, social, and economic benefits of SIFs, yet none exist in the USA. The purpose of this study is to model the health and financial costs and benefits of a hypothetical SIF in Baltimore. METHODS: We estimate the benefits by utilizing local health data and data on the impact of existing SIFs in models for six outcomes: prevented human immunodeficiency virus transmission, Hepatitis C virus transmission, skin and soft-tissue infection, overdose mortality, and overdose-related medical care and increased medication-assisted treatment for opioid dependence. RESULTS: We predict that for an annual cost of $1.8 million, a single SIF would generate $7.8 million in savings, preventing 3.7 HIV infections, 21 Hepatitis C infections, 374 days in the hospital for skin and soft-tissue infection, 5.9 overdose deaths, 108 overdose-related ambulance calls, 78 emergency room visits, and 27 hospitalizations, while bringing 121 additional people into treatment. CONCLUSIONS: We conclude that a SIF would be both extremely cost-effective and a significant public health and economic benefit to Baltimore City.

Association between household opioid prescriptions and risk for overdose among family members not prescribed opioids.

BACKGROUND: Prescription opioids have contributed to the rise in opioid-related overdoses and deaths. The presence of opioids within households may increase the risk of overdose among family members who were not prescribed an opioid themselves. Larger quantities of opioids may further increase risk. OBJECTIVES: To determine the risk of opioid overdose among individuals who were not prescribed an opioid but were exposed to opioids prescribed to other family members in the household, and evaluate the risk in relation to the total morphine milligram equivalents (MMEs) present in the household. METHODS: We conducted a cohort study using a large database of commercial insurance claims from 2001 to 2021. For inclusion in the cohort, we identified individuals not prescribed an opioid in the prior 90 days from households with two or more family members, and determined the total MMEs prescribed to other family members. Individuals were stratified into monthly enrollment strata defined by household opioid exposure and other confounders. A generalized linear model was used to estimate incidence rate ratios (IRRs) for overdose. RESULTS: Overall, the incidence of overdose among enrollees in households where a family member was prescribed an opioid was 1.73 (95% confidence interval [CI]: 1.67-1.78) times greater than households without opioid prescriptions. The risk of overdose increased continuously with the level of potential MMEs in the household from an IRR of 1.23 (95% CI: 1.16-1.32) for 1-100 MMEs to 4.67 (95% CI: 4.18-5.22) for >12,000 MMEs. The risk of overdose associated with household opioid exposure was greatest for ages 1-2 years (IRR: 3.46 [95% CI: 2.98-4.01]) and 3-5 years (IRR: 3.31 [95% CI: 2.75-3.99]). CONCLUSIONS: The presence of opioids in a household significantly increases the risk of overdose among other family members who were not prescribed an opioid. Higher levels of MMEs, either in terms of opioid strength or quantity, were associated with increased levels of risk. Risk estimates may reflect accidental poisonings among younger family members.

Early Hospice Consultation Team Engagement for Cancer Pain Relief: A Case Report.

This case report explores the challenges and complexities associated with opioid management of cancer pain, emphasizing the importance of early involvement of a hospice consultation team and the adoption of a multidisciplinary approach to care. A 56-year-old man with advanced pancreatic cancer experienced escalating pain and inappropriate opioid prescriptions, highlighting the shortcomings of traditional pain management approaches. Despite procedural intervention by the attending physician and increased opioid dosages, the patient's condition deteriorated. Subsequently, the involvement of a hospice consultation team, in conjunction with collaborative psychiatric care, led to an overall improvement. The case underscores the necessity of early hospice engagement, psychosocial assessments, and collaborative approaches in the optimization of patient-centered palliative care.

Community-led approaches to making naloxone available in public settings: Implementation experiences in the HEALing communities study.

BACKGROUND: Expanding public naloxone access is a key strategy to reduce opioid overdose fatalities. We describe tailored community-engaged, data-driven approaches to install and maintain naloxone housing units (naloxone boxes) in New York State and estimate the cost of these approaches. METHODS: Guided by the Consolidated Framework for Implementation Research, we collected data from administrative records and key informant interviews that documented the unique processes employed by four counties enrolled in the HEALing Communities Study to install and maintain naloxone housing units. We conducted a prospective micro-costing analysis to estimate the cost of each naloxone housing unit strategy from the community perspective. RESULTS: While all counties used a coalition to guide action planning for naloxone distribution, we identified unique approaches to implementing naloxone housing units: 1) County-led with technology expansion; 2) County-led grassroots; 3) Small-scale rural opioid overdose prevention program (OOPP) contract and 4) Comprehensive OOPP contract including overdose education and naloxone distribution (OEND) to individuals. The first two county-led approaches had lower cost per naloxone dose disbursed ($28-$38) compared to outsourcing to an OOPP ($183-$266); costs depended on services added to installing and maintaining units, such as OEND. Barriers included competing demands on public health resources (i.e., COVID-19) and stigma toward naloxone and opioid use disorder. Geographic access was a barrier in rural areas whereas existing infrastructure was a facilitator in urban counties. The policy landscape in New York State, which provides free naloxone kits and financial support to OOPPs, facilitated implementation in all counties. CONCLUSIONS: If a community has the resources, installing and maintaining naloxone housing units in-house can be less expensive than contracting with an outside partner. However, contracts that include OEND may be more effective at reaching target populations. Financial support from health departments and legislative authorization are important facilitators to making naloxone available in public settings.

Physicians, pharmacists and take-home naloxone: What practices? The SINFONI study.

OBJECTIVE: For several years, both the French Addictovigilance Network and French health authorities have consistently emphasized the need to provide opioid users with take-home naloxone (THN), the specific antidote for opioid overdoses. In March 2022, the French Health Authority recommended systematically assessing the appropriateness of prescribing THN to all opioid users, regardless of the context, and identified 8 high-risk situations. However, at present, THN distribution remains limited, particularly among primary care healthcare professionals. This study, conducted by the Pays de la Loire Centre for Evaluation and Information on Drug Dependence-Addictovigilance and supported by the Regional Health Agency, aims to explore healthcare professionals' practices and perceptions of these high-risk situations. METHODS: An ad-hoc questionnaire was distributed via mail by the project's regional institutional partners to the target healthcare professionals: pharmacists, general practitioners (GPs), physicians practicing in specialities other than general medicine (SPs: algologists, psychiatrists and addictologists). It was completed online from 20/10/2022 to 30/12/2022. RESULTS: Out of the 355 participants (158 pharmacists, 167 GPs and 30 SPs), nearly all were managing patients on opioids. In total, 47.7% of physicians and 27.8% of pharmacists reported experiencing difficulties in dealing with the risk of overdose when prescribing or dispensing opioids to their patients. In the 12months preceding the study, only 8 pharmacists and 34 physicians had prescribed/dispensed THN, primarily due to a lack of awareness of its existence (52% of pharmacists and 72% of physicians) and challenges in addressing the eight overdose risk situations listed by the HAS (ranging from 54% to 83% for all professionals). The best-trained healthcare professionals were those who prescribed the most THN (P<0.001). CONCLUSION: The identification of barriers related to THN distribution in the regional SINFONI study, conducted among primary care healthcare professionals managing patients on opioids, highlights the need to develop a training tool specifically tailored for these professionals.

Advancing the implementation of take-home naloxone by community pharmacists: Testing the role of COM-B.

INTRODUCTION: Opioid-related overdose fatalities are rising despite the increased accessibility of take-home naloxone (THN). Targeted implementation strategies are needed to improve the distribution of naloxone. This study investigates the effectiveness of a short video targeting pharmacists that addresses implementation barriers. METHODS: A pre-post, mixed methods design was adopted to examine the effect of a brief behaviour change intervention (an educational video informed by the capability, opportunity, motivation affecting behaviour (COM-B) model), on factors affecting pharmacists' implementation of THN in Western Australia. Paired samples t-tests for were used to investigate intentions, knowledge, skill, confidence, feasibility, appropriateness, acceptability, attitudes, anticipated patient reactions, social support and implementation climate. Structural equation modelling examined the associations between constructs and to test the proposed mediation of motivation on capability and opportunity affecting intentions to discuss and provide THN. RESULTS: We analysed data from 102 participants. At follow-up and after all participants had viewed the video, participants had significantly improved intentions, skill, confidence, anticipated reactions, social support and perceptions that THN implementation was feasible, appropriate and acceptable. No significant differences were seen for attitudes, knowledge or implementation climate. The proposed mediation effect of motivation on the associations between opportunity and intentions and capability and intentions was not supported. DISCUSSION AND CONCLUSIONS: A short video directly targeting identified implementation barriers has the ability to improve key influences in the provision of THN. Dissemination of information to community pharmacists is a challenge. Implementation strategies addressing knowledge and targeting other levels of influence on intentions and behaviour are required.

Housing status and accidental substance-related acute toxicity deaths in Canada, 2016-2017. / Recherche quantitative originale Statut résidentiel et décès accidentels attribuables à une intoxication aiguë liée à une substance au Canada, 2016-2017.

INTRODUCTION: There is a complex relationship between housing status and substance use, where substance use reduces housing opportunities and being unhoused increases reasons to use substances, and the associated risks and stigma. METHODS: In this descriptive analysis of people without housing who died of accidental substance-related acute toxicity in Canada, we used death investigation data from a national chart review study of substance-related acute toxicity deaths in 2016 and 2017 to compare sociodemographic factors, health histories, circumstances of death and substances contributing to death of people who were unhoused and people not identified as unhoused, using Pearson chi-square test. The demographic distribution of people who died of acute toxicity was compared with the 2016 Nationally Coordinated Point-In-Time Count of Homelessness in Canadian Communities and the 2016 Census. RESULTS: People without housing were substantially overrepresented among those who died of acute toxicity in 2016 and 2017 (8.9% versus <1% of the overall population). The acute toxicity event leading to death of people without housing occurred more often in an outdoor setting (24%); an opioid and/or stimulant was identified as contributing to their death more frequently (68%-82%; both contributed in 59% of their deaths); and they were more frequently discharged from an institution in the month before their death (7%). CONCLUSION: We identified several potential opportunities to reduce acute toxicity deaths among people who are unhoused, including during contacts with health care and other institutions, through harm reduction supports for opioid and stimulant use, and by creating safer environments for people without housing.

Acute opioid overdose in pediatric patients.

Recent increases in pediatric and adolescent opioid fatalities mandate an urgent need for early consideration of possible opioid exposure and specific diagnostic and management strategies and interventions tailored to these unique populations. In contrast to adults, pediatric methods of exposure include accidental ingestions, prescription misuse, and household exposure. Early recognition, appropriate diagnostic evaluation, along with specialized treatment for opioid toxicity in this demographic are discussed. A key focus is on Naloxone, an essential medication for opioid intoxication, addressing its unique challenges in pediatric use. Unique pediatric considerations include recognition of accidental ingestions in our youngest population, critical social aspects including home safety and intentional exposure, and harm reduction strategies, mainly through Naloxone distribution and education on safe medication practices. It calls for a multifaceted approach, including creating pediatric-specific guidelines, to combat the opioid crisis among children and to work to lower morbidity and mortality from opioid overdoses.

Mobile treatment for opioid use disorder: Implementation of community-based, same-day medication access interventions.

BACKGROUND: Medications for Opioid Use Disorder (MOUD) are lifesaving, but <20 % of individuals in the US who could benefit receive them. As part of the NIH-supported HEALing Communities Study (HCS), coalitions in several communities in Massachusetts and Ohio implemented mobile MOUD programs to overcome barriers to MOUD receipt. We defined mobile MOUD programs as units that provide same-day access to MOUD at remote sites. We aimed to (1) document the design and organizational structure of mobile programs providing same-day or next-day MOUD, and (2) explore the barriers and facilitators to implementation as well as the successes and challenges of ongoing operation. METHODS: Program staff from five programs in two states (n = 11) participated in semi-structured interviews. Two authors conducted thematic analysis of the transcripts based on the domains of the social-ecological model and the semi-structured interview guide. RESULTS: Mobile MOUD units sought to improve immediate access to MOUD ("Our answer is pretty much always, 'Yes, we'll get you started right here, right now,'"), advance equity ("making sure that we have staff who speak other languages, who are on the unit and have some resources that are in different languages,"), and decrease opioid overdose deaths. Salient program characteristics included diverse staff, including staff with lived experience of substance use ("She just had that personal knowledge of where we should be going"). Mobile units offered harm reduction services, broad medical services (in particular, wound care), and connection to transportation programs and incorporated consistency in service provision and telemedicine access. Implementation facilitators included trusting relationships with partner organizations (particularly pharmacies and correctional facilities), nuanced understanding of local politics, advertising, protocol flexibility, and on-unit prescriber hours. Barriers included unclear licensing requirements, staffing shortages and competing priorities for staff, funding challenges due to inconsistency in grant funding and low reimbursement ("It's not really possible that billing in and of itself is going to be able to sustain it"), and community stigma toward addiction services generally. CONCLUSIONS: Despite organizational, community, and policy barriers, participants described mobile MOUD units as an innovative way to expand access to life-saving medications, promote equity in MOUD treatment, and overcome stigma.

Impact of a new state law and electronic health record prompt on naloxone prescribing in an academic medical center.

DISCLAIMER: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. PURPOSE: To evaluate the impact of a best-practice advisory (BPA) and South Carolina legislation on naloxone prescribing patterns. The primary objective was to assess the change in naloxone prescription rates following BPA implementation. The secondary objective was to analyze the performance of the BPA. METHODS: Naloxone prescriptions generated before (July 28, 2020, through July 27, 2021) and after (July 28, 2021, through July 28, 2022) BPA implementation were analyzed via retrospective chart review. Lists of patients at risk for opioid overdose and patients for whom the BPA fired were generated for March 2022. The BPA's effectiveness was evaluated based on the proportion of at-risk patients missed by the alert, the frequency with which the BPA resulted in a naloxone prescription, and the reasons for not prescribing naloxone when the BPA fired. RESULTS: Following BPA implementation, there was a significant increase in the average monthly naloxone prescribing rate from 66.1 to 625.5 prescriptions per month. Overall, 2,086 patients were considered at risk for opioid overdose and 1,101 had a BPA alert during March 2022, with 32.7% of BPA alerts resulting in naloxone prescribing. The most common reasons selected for not prescribing naloxone were "patient refusal" and "criteria not met." Only 354 patients (17.1%) at risk for opioid overdose also had a BPA alert. CONCLUSION: State legislation and implementation of the BPA significantly increased naloxone prescribing rates. However, a significant proportion of patients identified as being at risk did not have a BPA alert and most BPA alerts did not result in naloxone prescribing, suggesting a need for improvement of the BPA.

Opioid-Related Emergency Department Visits Before and During COVID-19: Association with Community-Level Factors.

Background: The purpose of the study was to investigate the relationship between community-level variables and emergency department (ED) visit rates before and during COVID-19. The focus was on opioid-related ED visits. Despite large declines in overall ED visits during COVID-19, opioid-related visits increased. While visits for avoidable conditions decreased, the opposite was true for opioid-related visits. Methods: We combined data from Florida EDs with community-level variables from the 2020 American Community Survey. The outcome measures of the study were quarterly ZIP code tabulation-area-level ED visit rates for opioid-related ED visits as well as visit rates for all other causes. Associations with opioid-related visit rates were estimated before and during COVID-19. Results: The associations between community-level variables and opioid-related visit rates did not match those found when analyzing overall ED visit rates. The increase in opioid-related visits during COVID-19 was not unique to or more prevalent in areas with a larger percentage of racial/ethnic minority populations. However, socioeconomic status was important, as areas with higher unemployment, lower income, lower home ownership, and higher uninsured had higher overall ED visit rates and opioid visit rates during the pandemic. In addition, the negative association with income increased during the pandemic. Conclusion: These results suggest socioeconomic status should be the focus of prevention and treatment efforts to reduce opioid-related visits in future pandemics. Healthcare organizations can use these results to target their prevention and treatment efforts during future pandemics.

Enhanced phenotypes for identifying opioid overdose in emergency department visit electronic health record data.

Background: Accurate identification of opioid overdose (OOD) cases in electronic healthcare record (EHR) data is an important element in surveillance, empirical research, and clinical intervention. We sought to improve existing OOD electronic phenotypes by incorporating new data types beyond diagnostic codes and by applying several statistical and machine learning methods. Materials and Methods: We developed an EHR dataset of emergency department visits involving OOD cases or patients considered at risk for an OOD and ascertained true OOD status through manual chart reviews. We developed and validated prediction models using Random Forest, Extreme Gradient Boost, and Elastic Net models that incorporated 717 features involving primary and second diagnoses, chief complaints, medications prescribed, vital signs, laboratory results, and procedural codes. We also developed models limited to single data types. Results: A total of 1718 records involving 1485 patients were manually reviewed; 541 (36.4%) patients had one or more OOD. Prediction performance was similar for all models; sensitivity varied from 94% to 97%; and area under the receiver operating characteristic curve (AUC) was 98% for all methods. The primary diagnosis and chief complaint were the most important contributors to AUC performance; primary diagnoses and medication class contributed most to sensitivity; chief complaint, primary diagnosis, and vital signs were most important for specificity. Models limited to decision support data types available in real time demonstrated robust prediction performance. Conclusions: Substantial prediction performance improvements were demonstrated for identifying OODs in EHR data. Our e-phenotypes could be applied in surveillance, retrospective empirical applications, or clinical decision support systems.