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Interventions to reduce the stigma of substance use disorders by health professionals often include didactic instruction combined with an interactive component that includes a guest speaker in recovery. Few interactive studies have focused on pharmacy students. Community pharmacists are moving to the front lines to battle the opioid epidemic; therefore, pharmacy students should be included in interventions aimed at reducing stigma by health professionals.This study examined the effects of a contact-based interactive intervention delivered by a peer recovery support specialist on perceived stigma of opioid use disorder among third-year pharmacy students (N = 115) enrolled in an integrative psychiatry course. Stigma was measured using the Brief Opioid Stigma Scale.Our study found significant differences in students' perceived stigma, both with their personal beliefs and their beliefs regarding the public, supporting the use of interactive presentations by peer recovery support specialists to decrease perceived stigma of opioid use disorder by health professionals.This type of intervention for pharmacy students shows promise in reducing substance use disorder stigma and should be further explored.

The COVID-19 pandemic disrupted hospital operations. Anecdotal evidence suggests financial performance likewise suffered, yet little empirical research supports this claim. This study aimed to explore the impact of the pandemic on the financial performance of the most prominent academic hospitals in the United States. Data from the 115 largest major teaching hospitals in the United States were extracted from the American Hospital Directory for three years (2019–2021). We hypothesized that the year and region would moderate the relationship between a hospital’s return on assets (financial performance) and specific operational variables. We found evidence through descriptive statistics and multivariate moderated regressions that financial positions rebounded in 2021, mainly through reductions in adjusted full-time employees and liabilities and an increase in non-operating income. Our results also found that the Midwest region significantly outperformed the other three regions, particularly in terms of lower salaries and operational expenses. These findings suggest potential for future initiatives encouraging efficiency and finding alternate sources of income beyond patient income. Hospitals should focus on improving financial reserves, building out non-operational revenue streams, and implementing operational efficiencies to foster better financial resiliency. These suggestions may enable healthcare administrators and facilities to adapt to future pandemics and environmental turbulence.

In the U.S., 12.3% of children live with at least one parent who has a substance use disorder. Prior research has shown that men are more likely to seek treatment than women and that the barriers are different; however, there is limited research focusing specifically on opioid use disorder (OUD). We sought to understand the barriers and motivators for parents with OUD. We conducted a qualitative study by interviewing parents with OUD who were part of an outpatient treatment program. Interviews followed a semi-structured format with questions on access to and motivation for treatment. The interviews were recorded and transcribed using OpenAI software. Transcripts were coded by two separate reviewers and then analyzed for themes using Atlas.ti. We interviewed 14 individuals; 3 were men, and 3 of the women identified as LGBTQ+. The participants ranged in age from 27 to 54 years old. All participants had a least one child. Gender differences existed. Mothers reported experiencing more barriers—notably, a lack of childcare, shame, and guilt—while fathers reported higher levels of support from family. Both mothers and fathers identified their children as a motivation for recovery, albeit in differing ways. Mothers and fathers with OUD experience different barriers to treatment and also rely on different resources. Prior efforts to increase access to treatment for parents have focused on physical barriers; however, our research supports the need for expanded treatment services for families and efforts to address the stigma of substance abuse disorder, but more efforts are also needed to address stigma.

(1) Background: This paper focuses on the development of a community assessment for telehealth using an interprofessional lens, which sits at the intersection of public health and urban planning using multistakeholder input. The paper analyzes the process of designing and implementing a telemedicine plan for the City of Brownsville and its surrounding metros. (2) Methods: We employed an interprofessional approach to CBPR which assumed all stakeholders as equal partners alongside the researchers to uncover the most relevant and useful knowledge to inform the development of telehealth community assessment. (3) Results: Key findings include that: physicians do not have the technology, financial means, or staff to provide a comprehensive system for telemedicine; and due to language and literacy barriers, many patients are not able to use a web-based system of telemedicine. We also found that all stakeholders believe that telehealth is a convenient tool that has the capacity to increase patient access and care. (4) Conclusions: Ultimately, the use of an interprofessional community-based participatory research (CBPR) design allowed our team to bring together local knowledge with that of trained experts to advance the research efforts.

There have been a series of disruptions in the healthcare environment since 2019, starting with the global pandemic [...]

In collaboration, a health science university and a fire department offered a mass casualty incident (MCI) simulation. The purpose of this study was to evaluate a cross-section of student health care providers to determine their working knowledge of an MCI. Students were given a pretest using the Emergency Preparedness Information Questionnaire (EPIQ) and the Simple Triage and Rapid Transport (START) Quiz. The EPIQ instrument related to knowledge of triage, first aid, bio-agent detection, critical reporting, incident command, isolation/quarantine/decontamination, psychological issues, epidemiology, and communications. The START Quiz gave 10 scenarios. Didactic online content was given followed by the simulation a few weeks later. A posttest with the same instruments was given after the simulation. Participants were majority female (81.7%), aged between 25–34 (41.7%), and 61.7% (n = 74) had undergraduate or post-graduate degrees. The overall pretest mean was 2.92 and posttest mean was 3.64. The START Quiz found participants struggled to correctly assign triage levels. Students also experienced challenges correctly assigning patients to specific triage categories. Findings will assist educators to understand knowledge gaps, so revisions can be made to enhance learning in disaster management. Concentration in proper field triage is also a needed focus.

The coronavirus pandemic shifted in-person environments to virtual environments. Little is known about the effectiveness of fully synchronous, virtual interprofessional education (IPE). This study aims to compare two IPE cases that occurred in-person pre-pandemic and virtual during-pandemic. Two cases are analyzed: a medical error care and a charity care case. Participants were students from various health science disciplines. Assessments were captured through The Interprofessional Collaborative Competency Attainment Survey (ICCAS). Effect sizes were calculated for the pre-and post-surveys and analyzed using Cohen’s d for independent samples. From the in-person collection period, a total of 479 students participated in the medical error simulation and 479 in the charity care simulation. During the virtual collection period, a total of 506 students participated in the medical error simulation and 507 participated in the charity care simulation. In the data for the virtual simulations, the medical error case study maintained a large effect size (0.81) while the charity care simulation had a lesser impact (0.64 effect size). Structural details of the patient cases may be a critical variable. Future research is needed to better understand how health science students can obtain more training to notice the subtle cues from patients assessed through telemedicine modalities.

Background Opioid use disorder has recently been declared a public health emergency, yet it is unknown whether opioid prescribing patterns have changed over time. Our objective is to examine opioid prescribing behavior and overdose fatalities in one large state prior to state-mandated usage of a prescription drug monitoring program (PDMP). Methods We relied on de-identified longitudinal data from state and national databases for opioid prescriptions and overdose deaths in Texas between 2013 and 2017. Descriptive statistics and trend analyses were used to assess proportional differences and changes over time. Results Prescriptions for opioids represented over 45% of the total controlled medications dispensed across the entire period. This equates to roughly 17.7 million opioid prescriptions dispensed per year, or 63.7 opioid prescriptions per 100 persons, slightly less than the reported national average. Hydrocodone was the most widely prescribed opioid (32.9%), followed by tramadol (26.9%) and codeine (21.5%). The overall controlled substance prescribing rate appears to be decreasing in the latest year, and the composition of opioids has shifted. We found a reduction in schedule II medications (such as hydrocodone and fentanyl) and increase in schedule IV medications such as tramadol. At the same time, total overdose fatalities increased 42% during this time, and population-adjusted rates increased 34% to 5.87 deaths per 100,000 persons. Conclusions While prescribing rates have decreased in Texas, overdose deaths from both legal and illicit opioids are rising, suggesting that changing physician prescribing behavior alone may not be sufficient to curb the epidemic. Policies and community interventions should be considered to address increases in both prescription and illicit opioid deaths.

The treatment of acute pain over the years has changed with increasing alternative therapies and increased scrutiny of opioid prescriptions. Shared Decision Making (SDM) has become a vital tool in increasing patient engagement and satisfaction in treatment decisions. SDM has been successfully implemented in the management of pain in a variety of settings; however, information regarding the use of SDM for treating acute pain in patients with a history of opioid use disorder (OUD) remains scarce. Following the Preferred Reporting Items for Systematic Reviews and Meta-analysis Extension for Scoping Reviews (PRISMA-ScR), we conducted a review to understand how SDM is used in acute pain management in patients with OUD. We searched Medline, Embase, CINAHL, and PsychInfo databases for relevant articles. Articles were screened and SDM outcomes of eligible articles were charted. The results were grouped by sub-theme based on a 1997 SDM model. There were three original research studies and one quality improvement study. The remaining articles were split evenly between reviews and reviews of clinical guidelines. Four themes emerged from the review: prior judgment and stigma related to OUD, trust and sharing of information, clinical tools, and interprofessional teams. This scoping review consolidated and expounded the current literature on SDM in the management of acute pain in patients with OUD. More work is needed to address prior judgments by both providers and patients and to build greater dialogue. Clinical tools may aid this process as well as the involvement of a multidisciplinary team.

Objective The opioid epidemic continues to escalate, and out‐of‐hospital emergency medical services (EMS) play a vital role in acute overdose reversal, but could serve a broader role post‐incident for follow‐up, outreach, and referrals. Our objective is to identify the scope and prevalence of community‐based, post‐opioid overdose EMS programs across the United States. Methods We used a narrative review of prior studies in PubMed and Scopus for the last 20 years (1999–2020) to identify relevant medical literature and a web search to identify gray literature of EMS interventions involving opioids. Results Out of nearly 22,000 EMS agencies across the United States, we found evidence of only 27 programs published in medical or gray literature involving post‐overdose interventions. They were most commonly found in the north and eastern region of the country. Although most of these programs incorporate harm reduction and education, other more innovative aspects such as linkage to outpatient addiction treatment or peer support services, are much less common. The most comprehensive programs involved combinations of innovative outreach, specialized referrals, integration with police and criminal justice, peer support, and even treatment initiation. Conclusions Out‐of‐hospital emergency care has the potential to provide more comprehensive care after drug overdose, but many programs either do not currently have such an intervention in place, or are not disseminating their practices for other agencies to assimilate. EMS protocols and policies that encourage greater adoption of active community paramedicine practices for opioids should be encouraged.

Background Excessive prescribing, increased potency of opioids, and increased availability of illicit heroin and synthetic analogs such as fentanyl has resulted in an increase of overdose fatalities. Medications for opioid use disorder (MOUD) significantly reduces the risk of overdose when compared with no treatment. Although the use of buprenorphine as an agonist treatment for opioid use disorder (OUD) is growing significantly, barriers remain which can prevent or delay treatment. In this study we examine non-traditional routes which could facilitate entry into buprenorphine treatment programs. Methods Relevant, original research publications addressing entry into buprenorphine treatment published during the years 1989–2019 were identified through PubMed, PsychInfo, PsychArticles, and Medline databases. We operationalized key terms based on three non-traditional paths: persons that entered treatment via the criminal justice system, following emergencies, and through community outreach. Results Of 462 screened articles, twenty studies met the inclusion criteria for full review. Most studies were from the last several years, and most (65%) were from the Northeastern region of the United States. Twelve (60%) were studies suggesting that the criminal justice system could be a potentially viable entry route, both pre-release or post-incarceration. The emergency department was also found to be a cost-effective and viable route for screening and identifying individuals with OUD and linking them to buprenorphine treatment. Fewer studies have documented community outreach initiatives involving buprenorphine. Most studies were small sample size (mean = Conclusions Despite research suggesting that increasing the number of Drug Addiction Treatment Act (DATA) waived physicians who prescribe buprenorphine would help with the opioid treatment gap, little research has been conducted on routes to increase utilization of treatment. In this study, we found evidence that engaging individuals through criminal justice, emergency departments, and community outreach can serve as non-traditional treatment entry points for certain populations. Alternative routes could engage a greater number of people to initiate MOUD treatment.

Background: An increase in opioid use has led to an opioid crisis during the last decade, leading to declarations of a public health emergency. In response to this call, the Houston Emergency Opioid Engagement System (HEROES) was established and created an emergency access pathway into long-term recovery for individuals with an opioid use disorder. A major contributor to the success of the program is retention of the enrolled individuals in the program. Methods: We have identified an increase in dropout from the program after 90 and 120 days. Based on more than 700 program participants, we developed a machine learning approach to predict the individualized risk for dropping out of the program. Results: Our model achieved sensitivity of 0.81 and specificity of 0.65 for dropout at 90 days and improved the performance to sensitivity of 0.86 and specificity of 0.66 for 120 days. Additionally, we identified individual risk factors for dropout, including previous overdose and relapse and improvement in reported quality of life. Conclusions: Our informatics approach provides insight into an area where programs may allocate additional resources in order to retain high-risk individuals and increase the chances of success in recovery.

Prior to the COVID-19 pandemic, the United States was facing an epidemic of opioid overdose deaths, clouding accurate inferences about the impact of the pandemic at the population level. We sought to determine the existence of increases in the trends of opioid-related overdose (ORO) deaths in the Greater Houston metropolitan area from January 2015 through December 2021, and to describe the social vulnerability present in the geographic location of these deaths. We merged records from the county medical examiner’s office with social vulnerability indexes (SVIs) for the region and present geospatial locations of the aggregated ORO deaths. Time series analyses were conducted to determine trends in the deaths, with a specific focus on the years 2019 to 2021. A total of 2660 deaths were included in the study and the mean (standard deviation, SD) age at death was 41.04 (13.60) years. Heroin and fentanyl were the most frequent opioids detected, present in 1153 (43.35%) and 1023 (38.46%) ORO deaths. We found that ORO deaths increased during the years 2019 to 2021 (p-value ≤ 0.001) when compared with 2015. Compared to the year 2019, ORO deaths increased for the years 2020 and 2021 (p-value ≤ 0.001). The geographic locations of ORO deaths were not associated with differences in the SVI. The COVID-19 pandemic had an impact on increasing ORO deaths in the metropolitan Houston area; however, identifying the determinants to guide targeted interventions in the areas of greatest need may require other factors, in addition to community-level social vulnerability parameters.

Introduction With opioid-related deaths reaching epidemic levels, gaining a better understanding of access to treatment for opioid use disorder (OUD) is critical. Most studies have focused on 1 side of the equation-either provider capacity or patients' need for care, as measured by overdose deaths. This study examines the overlay between treatment program availability and opioid mortality, comparing accessibility by region. Methods Geospatial and statistical analyses were used to model OUD treatment programs relative to population density and opioid overdose death incidence at the state and county level. We computed a ratio between program capacity and mortality called the programs-per-death (PPD) ratio. Results There were 40 274 opioid deaths in 2016 and 12 572 treatment programs across the contiguous 48 states, yielding a ratio of 1 program for every 3.2 deaths. Texas had the lowest number of treatment programs per 100 000 persons (1.4) and Maine the highest (13.2). West Virginia ranked highest in opioid deaths (39.09 per 100 000). Ohio, the District of Columbia, and West Virginia had the greatest mismatch between providers and deaths, with an average of 1 program for every 8.5 deaths. Over 32% of US counties had no treatment programs and among those with >10 deaths, nearly 2.5% had no programs. Over 19% of all counties had a ratio ≤1 provider facility per 10 deaths. Conclusion Assessing the overlay between treatment capacity and need demonstrated that regional imbalances exist. These data can aid in strategic planning to correct the mismatch and potentially reduce mortality in the most challenged geographic regions.

Teaching hospitals have a unique mission to not only deliver graduate medical education but to also provide both inpatient and ambulatory care and to conduct clinical medical research, therefore, they are under constant financial pressure, and it is important to explore what types of external environmental components affect their financial performance. This study examined if there is an association between the short-term and long-term financial performance of major teaching hospitals in the United States and the external environmental dimensions, as measured by the Resource Dependence Theory. Data for 226 major teaching hospitals spanning 46 states were analyzed. The dependent variable for short-term financial performance was days cash on hand, and dependent variable for long-term financial performance was return on assets, both an average of most recently available 4-year data (2014–2017). Utilizing linear regression model, results showed significance between outpatient revenue and days cash on hand as well as significant relationship between population of the metropolitan statistical area, unemployment rate of the metropolitan statistical area, and teaching hospital’s return on assets. Additionally, system membership, type of ownership/control, and teaching intensity also showed significant association with return on assets. By comprehensively examining all major teaching hospitals in the U.S. and analyzing the association between their short-term and long-term financial performance and external environmental dimensions, based upon Resource Dependence Theory, we found that by offering diverse outpatient services and novel delivery options, administrators of teaching hospitals may be able to increase organizational liquidity.

The COVID-19 pandemic resulted in a large expansion of telehealth, but little is known about user sentiment. Tweets containing the terms “telehealth” and “telemedicine” were extracted (n = 192,430) from the official Twitter API between November 2019 and April 2020. A random subset of 2000 tweets was annotated by trained readers to classify tweets according to their content, including telehealth, sentiment, user type, and relation to COVID-19. A state-of-the-art NLP model (Bidirectional Encoder Representations from Transformers, BERT) was used to categorize the remaining tweets. Following a low and fairly stable level of activity, telehealth tweets rose dramatically beginning the first week of March 2020. The sentiment was overwhelmingly positive or neutral, with only a small percentage of negative tweets. Users included patients, clinicians, vendors (entities that promote the use of telehealth technology or services), and others, which represented the largest category. No significant differences were seen in sentiment across user groups. The COVID-19 pandemic produced a large increase in user tweets related to telehealth and COVID-19, and user sentiment suggests that most people feel positive or neutral about telehealth

Objective With a significant proportion of individuals with opioid use disorder not currently receiving treatment, it is critical to find novel ways to engage and retain patients in treatment. Our objective is to describe the feasibility and preliminary outcomes of a program that used emergency physicians to initiate a bridge treatment, followed by peer support services, behavioral counseling, and ongoing treatment and follow‐up. Methods We developed a program called the Houston Emergency Opioid Engagement System (HEROES) that provides rapid access to board‐certified emergency physicians for initiation of buprenorphine, plus at least 1 behavioral counseling session and 4 weekly peer support sessions over the course of 30 days. Follow‐ups were conducted by phone and in person to obtain patient‐reported outcomes. Primary outcomes included percentage of patients who completed the 30‐day program and the percentage for successful linkage to more permanent ongoing treatment after the initial program. Results There were 324 participants who initiated treatment on buprenorphine from April 2018 to July 2019, with an average age of 36 (±9.6 years) and 52% of participants were males. At 30 days, 293/324 (90.43%) completed the program, and 203 of these (63%) were successfully connected to a subsequent community addiction medicine physician. There was a significant improvement (36%) in health‐related quality of life. Conclusion Lack of insurance is a predictor for treatment failure. Implementation of a multipronged treatment program is feasible and was associated with positive patient‐reported outcomes. This approach holds promise as a strategy for engaging and retaining patients in treatment.

The coronavirus disease pandemic of 2019 (COVID-19) has created significant economic and societal burden, with mortality currently exceeding 615,000 and millions of others affected worldwide. For those with opioid use disorder (OUD), however, the impact on this vulnerable population could be even more severe. The objective of this study was to outline our organizational telehealth adaptations that enabled virtual counseling, peer support, groups, and provider care during COVID-19 in one community-based opioid treatment program. We utilized an observational study design during March to June 2020, during the initial peak of COVID-19 in the U.S. After we closed our facility for the first five business days, we rapidly enacted virtual care with telehealth for peer coaching, counseling, groups, and provider visits. While we lost patient volume during the initial weeks, we observed an overall increase in patient engagement over time. Future state and federal policy should focus on maintaining less stringent policies around the use of telehealth, prescribing, and in-person exams for medication for OUD., Highlights • COVID-19 has significantly halted traditional face-to-face MOUD encounters. • Telehealth can be used for treatment, peer recovery support, counseling, and groups. • Virtual encounters can sustain and even increase patient engagement during these times. • More permanent regulatory changes should be considered to support ongoing telehealth after COVID-19.

Background Opioid use disorder presents a public health issue afflicting millions across the globe. There is a pressing need to understand the opioid supply chain to gain new insights into the mitigation of opioid use and effectively combat the opioid crisis. The role of anonymous online marketplaces and forums that resemble eBay or Amazon, where anyone can post, browse, and purchase opioid commodities, has become increasingly important in opioid trading. Therefore, a greater understanding of anonymous markets and forums may enable public health officials and other stakeholders to comprehend the scope of the crisis. However, to the best of our knowledge, no large-scale study, which may cross multiple anonymous marketplaces and is cross-sectional, has been conducted to profile the opioid supply chain and unveil characteristics of opioid suppliers, commodities, and transactions. Objective We aimed to profile the opioid supply chain in anonymous markets and forums via a large-scale, longitudinal measurement study on anonymous market listings and posts. Toward this, we propose a series of techniques to collect data; identify opioid jargon terms used in the anonymous marketplaces and forums; and profile the opioid commodities, suppliers, and transactions. Methods We first conducted a whole-site crawl of anonymous online marketplaces and forums to solicit data. We then developed a suite of opioid domain–specific text mining techniques (eg, opioid jargon detection and opioid trading information retrieval) to recognize information relevant to opioid trading activities (eg, commodities, price, shipping information, and suppliers). Subsequently, we conducted a comprehensive, large-scale, longitudinal study to demystify opioid trading activities in anonymous markets and forums. Results A total of 248,359 listings from 10 anonymous online marketplaces and 1,138,961 traces (ie, threads of posts) from 6 underground forums were collected. Among them, we identified 28,106 opioid product listings and 13,508 opioid-related promotional and review forum traces from 5147 unique opioid suppliers’ IDs and 2778 unique opioid buyers’ IDs. Our study characterized opioid suppliers (eg, activeness and cross-market activities), commodities (eg, popular items and their evolution), and transactions (eg, origins and shipping destination) in anonymous marketplaces and forums, which enabled a greater understanding of the underground trading activities involved in international opioid supply and demand. Conclusions The results provide insight into opioid trading in the anonymous markets and forums and may prove an effective mitigation data point for illuminating the opioid supply chain.

BACKGROUND Opioid use disorder presents a public health issue afflicting millions across the globe. There is a pressing need to understand the opioid supply chain to gain new insights into the mitigation of opioid use and effectively combat the opioid crisis. The role of anonymous online marketplaces and forums that resemble eBay or Amazon, where anyone can post, browse, and purchase opioid commodities, has become increasingly important in opioid trading. Therefore, a greater understanding of anonymous markets and forums may enable public health officials and other stakeholders to comprehend the scope of the crisis. However, to the best of our knowledge, no large-scale study, which may cross multiple anonymous marketplaces and is cross-sectional, has been conducted to profile the opioid supply chain and unveil characteristics of opioid suppliers, commodities, and transactions. OBJECTIVE We aimed to profile the opioid supply chain in anonymous markets and forums via a large-scale, longitudinal measurement study on anonymous market listings and posts. Toward this, we propose a series of techniques to collect data; identify opioid jargon terms used in the anonymous marketplaces and forums; and profile the opioid commodities, suppliers, and transactions. METHODS We first conducted a whole-site crawl of anonymous online marketplaces and forums to solicit data. We then developed a suite of opioid domain–specific text mining techniques (eg, opioid jargon detection and opioid trading information retrieval) to recognize information relevant to opioid trading activities (eg, commodities, price, shipping information, and suppliers). Subsequently, we conducted a comprehensive, large-scale, longitudinal study to demystify opioid trading activities in anonymous markets and forums. RESULTS A total of 248,359 listings from 10 anonymous online marketplaces and 1,138,961 traces (ie, threads of posts) from 6 underground forums were collected. Among them, we identified 28,106 opioid product listings and 13,508 opioid-related promotional and review forum traces from 5147 unique opioid suppliers’ IDs and 2778 unique opioid buyers’ IDs. Our study characterized opioid suppliers (eg, activeness and cross-market activities), commodities (eg, popular items and their evolution), and transactions (eg, origins and shipping destination) in anonymous marketplaces and forums, which enabled a greater understanding of the underground trading activities involved in international opioid supply and demand. CONCLUSIONS The results provide insight into opioid trading in the anonymous markets and forums and may prove an effective mitigation data point for illuminating the opioid supply chain.

Background Opioid-related overdose deaths are the top accidental cause of death in the United States, and development of regional strategies to address this epidemic should begin with a better understanding of where and when overdoses are occurring. Methods and findings In this study, we relied on emergency medical services data to investigate the geographical and temporal patterns in opioid-suspected overdose incidents in one of the largest and most ethnically diverse metropolitan areas (Houston Texas). Using a cross sectional design and Bayesian spatiotemporal models, we identified zip code areas with excessive opioid-suspected incidents, and assessed how the incidence risks were associated with zip code level socioeconomic characteristics. Our analysis suggested that opioid-suspected overdose incidents were particularly high in multiple zip codes, primarily south and central within the city. Zip codes with high percentage of renters had higher overdose relative risk (RR = 1.03; 95% CI: [1.01, 1.04]), while crowded housing and larger proportion of white citizens had lower relative risks (RR = 0.9; 95% CI: [0.84, 0.96], RR = 0.97, 95% CI: [0.95, 0.99], respectively). Conclusions Our analysis illustrated the utility of Bayesian spatiotemporal models in assisting the development of targeted community strategies for local prevention and harm reduction efforts.

The aim of this study was to qualitatively evaluate medical students perspectives of the benefits of a longitudinal volunteering experience compared with a 1-day community service experience. Fifteen medical students participated in 2 types of community service: (1) longitudinal, weekly volunteering from February to April of 2019 and (2) a single day of community service in March of 2019. Semistructured interviews were conducted to identify medical students perspectives of the impact of volunteering. Interview data was analyzed thematically based on the common ideas expressed by the participants. Four themes emerged: development of communication and interpersonal skills; understanding how to teach; ability to understand community issues in a low socioeconomic status (SES) neighborhood and the improvement of overall well-being. Medical students’ participation in a longitudinal nutrition education volunteer program was perceived as being an effective way to develop communication, interpersonal, and teaching skills. Medical students were able to interact with a diverse and vulnerable community located in a low SES neighborhood, to help them understand current community issues and risk factors.

Fatalities from drug-induced overdoses in the United States have taken greater than 292,000 lives in the last five years, and nearly two-thirds of these are opioid-related. The burden on prehospital emergency medical services (EMS) to respond to these incidents is growing. The standard of care typically involves overdose reversal and rapid transport, although a few agencies have begun to use community paramedicine to more proactively follow-up, initiate treatment, and refer patients to addiction medicine providers.

Mortality from overdoses involving opioids in the United States (U.S.) has reached epidemic proportions. More research is needed to examine the underlying factors contributing to opioid-related mortality regionally. This study's objective was to identify and examine the county-level factors most closely associated with opioid-related overdose deaths across all counties in the U.S.

Background Cardiovascular disease is one of the leading causes of death, yet most evidence is collected from small clinical trials or individual hospital providers. Achieving scalable data to enable quality improvements (QIs) remains a challenge. We investigate whether a registry that is shared by multiple providers and integrates data longitudinally could help drive QIs across a large rural geographic region. Methods We describe a case study involving the development of an informatics infrastructure across the entire state of Wyoming. This rural, regional, community-based cardiovascular system of care involved all interventional hospitals in the state as well as all surrounding states. Data exchange was initiated between 36 hospitals, and 56 ambulance agencies, to a centralized registry for clinical analytics and QI for patients with acute myocardial infarction. Results After 3 years, the registry maintained all documented acute myocardial infarctions across Wyoming. Median total ischemic time (time from patient's symptom onset to definitive treatment) had a 36.7% improvement during the program. Changes in quality for the rural community included reduction in overall treatment times, as well as enhanced training, standardized protocols, and community awareness. We also share key lessons learned. Conclusions Collaborative data registries for emergency cardiovascular care can help providers and communities measure and improve the quality of the care across regions.

It is known that women with ST-segment elevation myocardial infarction (STEMI) have higher mortality in comparison to men. While the reasons for this sex-based difference are not completely understood, biologic differences and disparities in care have been implicated. Whether these differences persist within an urban, regional STEMI system of care with defined protocols is unclear. Our objective was to explore sex-related effects in outcomes in a large regional system of care.Data were drawn from a regional subset of the National Cardiovascular Data Registry for 33 hospitals in and around Dallas County, Texas from 2010 to 2015. We explored adjusted differences between women and men for discharge disposition, door to balloon (D2B), total ischemic time (TIS), length of stay, and in-hospital mortality rates.Multivariate regressions to control for confounding factors, including age, D2B, and TIS, were significantly prolonged in women compared to men (D2B 58 vs. 54 minutes; TIS 206 vs. 178 minutes; both p 0.001). Length of stay was 0.45 median days longer. Women were also much less likely to survive at discharge than men [odds ratio (OR): 0.63; 95% confidence interval (CI): 0.52-0.76]. Most notably, they were much less likely to be discharged to home than men (88% vs. 92%, p 0.001).In this study, we found that sex-based disparities persist for both cardiovascular outcomes and discharge disposition, even in a modern regionalized system of care.

Teaching hospitals are large and complex, and under constant financial pressure. In this study, we examine the financial performance of 80 large teaching hospitals in the 20 largest cities in the U.S. over the last five years, to identify which strategic and operational management factors separate high-performing hospitals from lower-performing ones. Results suggest that growth strategies should continue to be sought for improving long-term financial condition. Operational efficiency was less important than market share, economic status of surrounding community, hospital size, and teaching intensity. This study's findings should help guide strategic planning for teaching hospitals.

Objective There has been moderate evidence of telehealth utilization in the field of emergency medicine, but less is known about telehealth in prehospital emergency medical services (EMS). The objective of this study is to explore the extent, focus, and utilization of telehealth for prehospital emergency care through the analysis of published research. Methods The authors conducted a systematic literature review by extracting data from multiple research databases (including MEDLINE/PubMed, CINAHL Complete, and Google Scholar) published since 2000. We used consistent key search terms to identify clinical interventions and feasibility studies involving telehealth and EMS, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Results We identified 68 articles focused specifically on telehealth interventions in prehospital care. The majority (54%) of the studies involved stroke and acute cardiovascular care, while only 7% of these (4) focused on telehealth for primary care. The two most common delivery methods were real-time video-conferencing capabilities (38%) and store and forward (25%); and this variation was based upon the clinical focus. There has been a significant and positive trend towards greater telehealth utilization. European telehealth programs were most common (51% of the studies), while 38% were from the United States. Discussion and Conclusions Despite positive trends, telehealth utilization in prehospital emergency care is fairly limited given the sheer number of EMS agencies worldwide. The results of this study suggest there are significant opportunities for wider diffusion in prehospital care. Future work should examine barriers and incentives for telehealth adoption in EMS.