Neighborhood and Individual Disparities in Community-Based Naloxone Access for Opioid Overdose Prevention.

Improving access to naloxone for laypersons is a cornerstone of the US strategy to reduce opioid overdose deaths. This study evaluated change in distance to opioid overdose prevention programs (OOPPs) providing walk-in naloxone across two time points. We also explored individual and neighborhood disparities in distance to OOPPs, associations between 2020 OOPP locations and 2018 overdoses, and associations between OOPPs and neighborhood fatal overdose rates. Using fatal opioid overdose locations in 2018 (n = 1167) and 2020 (n = 2045) in New York City, we mapped OOPP locations and fatal overdose locations to visualize areas of unmet naloxone need. We used logistic regression to assess individual (age, sex, race/ethnicity) and neighborhood correlates of odds of an overdose occurring within walking distance (≤ 0.5 miles or 0.8 km) of an OOPP and negative binomial regression to assess the relationship between census tract-level OOPP counts and overdose rates. Distance to OOPPs significantly improved over time, with average distance decreasing by 1.7 miles (2.7 km) (p < 0.001). OOPPs were more likely to be located in neighborhoods with higher poverty in both years and in closer proximity to Latinos in 2020-suggesting improved access for Latinos and in higher poverty neighborhoods. OOPP locations in 2020 were significantly positively associated with overdose locations in 2018. OOPPs were not well-situated in neighborhoods with elevated overdose rates in 2018 but were better situated in 2020, controlling for other neighborhood variables. Community lay naloxone access through OOPPs improved over time and could have promising effects for improved overdose rates in the future.

Impact of Universal Screening and Automated Clinical Decision Support for the Treatment of Opioid Use Disorder in Emergency Departments: A Difference-in-Differences Analysis.

STUDY OBJECTIVE: Emergency department (ED)-initiated buprenorphine improves outcomes in patients with opioid use disorder; however, adoption varies widely. To reduce variability, we implemented a nurse-driven triage screening question in the electronic health record to identify patients with opioid use disorder, followed by targeted electronic health record prompts to measure withdrawal and guide next steps in management, including initiation of treatment. Our objective was to assess the impact of screening implementation in 3 urban, academic EDs. METHODS: We conducted a quasiexperimental study of opioid use disorder-related ED visits using electronic health record data from January 2020 to June 2022. The triage protocol was implemented in 3 EDs between March and July 2021, and 2 other EDs in the health system served as controls. We evaluated changes in treatment measures over time and used a difference-in-differences analysis to compare outcomes in the 3 intervention EDs with those in the 2 controls. RESULTS: There were 2,462 visits in the intervention hospitals (1,258 in the preperiod and 1,204 in the postperiod) and 731 in the control hospitals (459 in the preperiod and 272 in the postperiod). Patient characteristics within the intervention and control EDs were similar across the time periods. Compared with the control hospitals, the triage protocol was associated with a 17% greater increase in withdrawal assessment, using the Clinical Opioid Withdrawal Scale (COWS) (95% CI 7 to 27). Buprenorphine prescriptions at discharge also increased by 5% (95% CI 0% to 10%), and naloxone prescriptions increased by 12% points (95% CI 1% to 22%) in the intervention EDs relative to controls. CONCLUSION: An ED triage screening and treatment protocol led to increased assessment and treatment of opioid use disorder. Protocols designed to make screening and treatment the default practice have promise in increasing the implementation of evidence-based treatment ED opioid use disorder care.

The association between specific narrative elements and patient perspectives on acute pain treatment.

BACKGROUND: Narratives are effective tools for communicating with patients about opioid prescribing for acute pain and improving patient satisfaction with pain management. It remains unclear, however, whether specific narrative elements may be particularly effective at influencing patient perspectives. METHODS: This study was a secondary analysis of data collected for Life STORRIED, a multicenter RCT. Participants included 433 patients between 18 and 70 years-old presenting to the emergency department (ED) with renal colic or musculoskeletal back pain. Participants were instructed to view one or more narrative videos during their ED visit in which a patient storyteller discussed their experiences with opioids. We examined associations between exposure to individual narrative features and patients' 1) preference for opioids, 2) recall of opioid-related risks and 3) perspectives about the care they received. RESULTS: Participants were more likely to watch videos featuring storytellers who shared their race or gender. We found that participants who watched videos that contained specific narrative elements, for example mention of prescribed opioids, were more likely to recall having received information about pain treatment options on the day after discharge (86.3% versus 72.9%, p = 0.02). Participants who watched a video that discussed family history of addiction reported more participation in their treatment decision than those who did not (7.6 versus 6.8 on a ten-point scale, p = 0.04). CONCLUSIONS: Participants preferentially view narratives featuring storytellers who share their race or gender. Narrative elements were not meaningfully associated with patient-centered outcomes. These findings have implications for the design of narrative communication tools.

Patient and clinician perspectives of a remote monitoring program for COVID-19 and lessons for future programs.

COVID Watch is a remote patient monitoring program implemented during the pandemic to support home dwelling patients with COVID-19. The program conferred a large survival advantage. We conducted semi-structured interviews of 85 patients and clinicians using COVID Watch to understand how to design such programs even better. Patients and clinicians found COVID Watch to be comforting and beneficial, but both groups desired more clarity about the purpose and timing of enrollment and alternatives to text-messages to adapt to patients' preferences as these may have limited engagement and enrollment among marginalized patient populations. Because inclusiveness and equity are important elements of programmatic success, future programs will need flexible and multi-channel human-to-human communication pathways for complex clinical interactions or for patients who do not desire tech-first approaches.

Comparative Effectiveness of an Automated Text Messaging Service for Monitoring COVID-19 at Home.

BACKGROUND: Although most patients with SARS-CoV-2 infection can be safely managed at home, the need for hospitalization can arise suddenly. OBJECTIVE: To determine whether enrollment in an automated remote monitoring service for community-dwelling adults with COVID-19 at home ("COVID Watch") was associated with improved mortality. DESIGN: Retrospective cohort analysis. SETTING: Mid-Atlantic academic health system in the United States. PARTICIPANTS: Outpatients who tested positive for SARS-CoV-2 between 23 March and 30 November 2020. INTERVENTION: The COVID Watch service consists of twice-daily, automated text message check-ins with an option to report worsening symptoms at any time. All escalations were managed 24 hours a day, 7 days a week by dedicated telemedicine clinicians. MEASUREMENTS: Thirty- and 60-day outcomes of patients enrolled in COVID Watch were compared with those of patients who were eligible to enroll but received usual care. The primary outcome was death at 30 days. Secondary outcomes included emergency department (ED) visits and hospitalizations. Treatment effects were estimated with propensity score-weighted risk adjustment models. RESULTS: A total of 3488 patients enrolled in COVID Watch and 4377 usual care control participants were compared with propensity score weighted models. At 30 days, COVID Watch patients had an odds ratio for death of 0.32 (95% CI, 0.12 to 0.72), with 1.8 fewer deaths per 1000 patients (CI, 0.5 to 3.1) (P = 0.005); at 60 days, the difference was 2.5 fewer deaths per 1000 patients (CI, 0.9 to 4.0) (P = 0.002). Patients in COVID Watch had more telemedicine encounters, ED visits, and hospitalizations and presented to the ED sooner (mean, 1.9 days sooner [CI, 0.9 to 2.9 days]; all P < 0.001). LIMITATION: Observational study with the potential for unobserved confounding. CONCLUSION: Enrollment of outpatients with COVID-19 in an automated remote monitoring service was associated with reduced mortality, potentially explained by more frequent telemedicine encounters and more frequent and earlier presentation to the ED. PRIMARY FUNDING SOURCE: Patient-Centered Outcomes Research Institute.

Association between Low Urban Neighborhood Greenness and Hypertensive Disorders of Pregnancy.

OBJECTIVE: Urban neighborhood greenness is associated with greater cardiovascular health in the general population, and with better pregnancy and neonatal outcomes. Hypertension in pregnancy is a leading cause of maternal mortality and long-term cardiovascular morbidity and mortality in women. We sought to examine the association between greenness and hypertensive disorders of pregnancy. STUDY DESIGN: This study is a secondary analysis of a prospective cohort study of 1,943 women who received prenatal care from December 2013 to December 2016 at a single, urban, and tertiary academic medical center in Philadelphia, PA. Greenness measure was quantified via residential tree canopy cover within circumferential buffers of 100- and 500-meter radii around participants' homes. Associations between greenness and hypertensive disorders of pregnancy (defined as gestational hypertension or preeclampsia) were estimated by using multilevel logistic regression accounting for maternal sociodemographic information (race-ethnicity, insurance status, and age) medical history (diabetes, body mass index, smoking history, and parity), neighborhood deprivation index, and including 1,225 Philadelphia residents for whom key exposure and outcome data were available. RESULTS: At baseline, the participants' mean (SD) age was 27.5 (5.9) years, (range: 14-44 years). The majority of participants were non-Hispanic Black (857, 70.2%). Participants with less residential tree canopy cover were significantly more likely to have hypertensive disorders of pregnancy. The multivariable-adjusted odds ratio of hypertensive disorders of pregnancy among participants with less than 10% compared with those with greater than 30% tree canopy cover was 2.14 (95% confidence interval [CI]: 1.11-4.15) within 100-meter buffer. CONCLUSION: In our cohort, greenness was associated with lower hypertensive disorders of pregnancy odds. Our findings add to evidence that greenness may confer health benefits and warrant further investigations in identifying whether there is a causal pathway through which greenness may be protective against hypertensive disorders of pregnancy. KEY POINTS: · Low residential tree canopy is associated with increased risk of hypertensive disorders of pregnancy. · 100-meter buffers are most sensitive in identifying associations between tree canopy and HDP risk. · The role of greenness against hypertensive disorders of pregnancy should be further studied experimentally.

"The new normal has become a nonstop crisis": a qualitative study of burnout among Philadelphia's harm reduction and substance use disorder treatment workers during the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic worsened the ongoing overdose crisis in the United States (US) and caused significant mental health strain and burnout among health care workers (HCW). Harm reduction, overdose prevention, and substance use disorder (SUD) workers may be especially impacted due to underfunding, resources shortages, and chaotic working environments. Existing research on HCW burnout primarily focuses on licensed HCWs in traditional environments and fails to account for the unique experiences of harm reduction workers, community organizers, and SUD treatment clinicians. METHODS: We conducted a qualitative secondary analysis descriptive study of 30 Philadelphia-based harm reduction workers, community organizers, and SUD treatment clinicians about their experiences working in their roles during the COVID-19 pandemic in July-August 2020. Our analysis was guided by Shanafelt and Noseworthy's model of key drivers of burnout and engagement. We aimed to assess the applicability of this model to the experiences of SUD and harm reduction workers in non-traditional settings. RESULTS: We deductively coded our data in alignment with Shanafelt and Noseworthy's key drivers of burnout and engagement: (1) workload and job demands, (2) meaning in work, (3) control and flexibility, (4) work-life integration, (5) organizational culture and values, (6) efficiency and resources and (7) social support and community at work. While Shanafelt and Noseworthy's model broadly encompassed the experiences of our participants, it did not fully account for their concerns about safety at work, lack of control over the work environment, and experiences of task-shifting. CONCLUSIONS: Burnout among healthcare providers is receiving increasing attention nationally. Much of this coverage and the existing research have focused on workers in traditional healthcare spaces and often do not consider the experiences of community-based SUD treatment, overdose prevention, and harm reduction providers. Our findings indicate a gap in existing frameworks for burnout and a need for models that encompass the full range of the harm reduction, overdose prevention, and SUD treatment workforce. As the US overdose crisis continues, it is vital that we address and mitigate experiences of burnout among harm reduction workers, community organizers, and SUD treatment clinicians to protect their wellbeing and to ensure the sustainability of their invaluable work.

Translating and disseminating a localised economic model to support implementation of the 'Ending the HIV Epidemic' initiative to public health policymakers.

Background: Despite significant progress in HIV treatment and prevention, the US remains far from its goal of 'Ending the HIV Epidemic' by 2030. Economic models using local data can synthesise the evidence to help policymakers allocate HIV resources efficiently, but persistent research-to-practice gaps remain. Little is known about how to facilitate the use of economic modelling data among local public health policymakers in real-world settings. Aims and objectives: To explore the dissemination of results from a locally-calibrated economic model for HIV prevention and treatment and identify the factors influencing potential uptake of the model for public health decision making at the local level. Methods: Four virtual focus groups with 26 local health department policymakers in Baltimore, Miami, Seattle, and New York City were held between July 2020 and May 2021. Qualitative content analysis of transcripts identified key themes around using the localised economic model in policy decisions. Results: Participants were interested in using local data in their decisions to allocate resources for HIV prevention/treatment. Six themes emerged: 1) importance of understanding local policy context; 2) health equity considerations; 3) using evidence to support current priorities; 4) difficulty of changing strategies, even incrementally; 5) bang for the incremental buck (efficiency) vs. previous impact; and 6) community values. Conclusion and relevance: To optimise acceptance and use of results from economic models, researchers should engage with local community members and public health decision makers early to understand budgetary and community priorities. Participants prioritised evidence that supports their existing strategies, considers budgets and funding streams, and improves health equity; however, real-world budget constraints and conflicting interests serve as barriers to implementing model recommendations and reaching national goals.

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

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

Sustained Implementation of a Multicomponent Strategy to Increase Emergency Department-Initiated Interventions for Opioid Use Disorder.

STUDY OBJECTIVE: There is strong evidence supporting emergency department (ED)-initiated buprenorphine for opioid use disorder, but less is known about how to implement this practice. Our aim was to describe implementation, maintenance, and provider adoption of a multicomponent strategy for opioid use disorder treatment in 3 urban, academic EDs. METHODS: We conducted a retrospective analysis of electronic health record data for adult patients with opioid use disorder-related visits before (March 2017 to November 2018) and after (December 2018 to July 2020) implementation. We describe patient characteristics, clinical treatment, and process measures over time and conducted an interrupted time series analysis using a patient-level multivariable logistic regression model to assess the association of the interventions with buprenorphine use and other outcomes. Finally, we report provider-level variation in prescribing after implementation. RESULTS: There were 2,665 opioid use disorder-related visits during the study period: 28% for overdose, 8% for withdrawal, and 64% for other conditions. Thirteen percent of patients received medications for opioid use disorder during or after their ED visit overall. Following intervention implementation, there were sustained increases in treatment and process measures, with a net increase in total buprenorphine of 20% in the postperiod (95% confidence interval 16% to 23%). In the adjusted patient-level model, there was an immediate increase in the probability of buprenorphine treatment of 24.5% (95% confidence interval 12.1% to 37.0%) with intervention implementation. Seventy percent of providers wrote at least 1 buprenorphine prescription, but provider-level buprenorphine prescribing ranged from 0% to 61% of opioid use disorder-related encounters. CONCLUSION: A combination of strategies to increase ED-initiated opioid use disorder treatment was associated with sustained increases in treatment and process measures. However, adoption varied widely among providers, suggesting that additional strategies are needed for broader uptake.

Pregnant and bleeding: A model to assess factors associated with the need for emergency care in early pregnancy.

OBJECTIVE: To assess the prevalence of Critical or Emergent patient classification among pregnant patients presenting to the Emergency Department (ED) and to identify characteristics that discriminate between patients requiring Emergency care from those who can be safely triaged to the ambulatory setting. STUDY DESIGN: In this cross-sectional study conducted in 3 urban EDs, patients under 16 weeks gestation who presented with bleeding and/or cramping completed a 7-item questionnaire. We compared baseline clinical variables and survey responses among patients classified as Critical or Emergent per the American Board of Emergency Medicine's patient acuity definitions with those classified as Lower Acuity to identify independent risk factors for outcomes. RESULTS: Of 484 participants, 21 (4.3%) were classified as Critical or Emergent and required interventions. While no demographic characteristics differentiated Critical patients from Lower Acuity patients, survey questions associated with a higher likelihood of emergency intervention included history of prior ectopic pregnancy (OR 8.7, 95% CI 3.2-23.5) heavy bleeding in the past two hours (OR 11.8, 95% CI 3.8-36.1), as well as having made a prior ED visit in the current pregnancy (OR 1.9, 95% CI 0.7-5.1). Joint consideration of these risk factors in a multivariable model performed well at discriminating between Critical and Lower Acuity patients with an area under the ROC curve of 0.82 (95% CI 0.71-0.93). CONCLUSION: Patients with a history of ectopic pregnancy, heavy bleeding in the past two hours, and/or prior presentation to the ED in the current pregnancy had the highest risk of needing emergency-level care. The vast majority of patients presenting to the ED with early pregnancy complaints were discharged without intervention.

Substance Use and Overdose in Public Libraries: Results from a Five-State Survey in the US.

In the U.S., overdoses have become a health crisis in both public and private places. We describe the impact of the overdose crisis in public libraries across five U.S. states, and the front-line response of public library workers. We conducted a cross-sectional survey, inviting one worker to respond at each public library in five randomly selected states (CO, CT, FL, MI, and VA), querying participants regarding substance use and overdose in their communities and institutions, and their preparedness to respond. We describe substance use and overdose patterns, as well as correlates of naloxone uptake, in public libraries. Participating library staff (N = 356) reported witnessing alcohol use (45%) and injection drug use (14%) in their libraries in the previous month. Across states surveyed, 12% of respondents reported at least one on-site overdose in the prior year, ranging from a low of 10% in MI to a high of 17% in FL. There was wide variation across states in naloxone uptake at libraries, ranging from 0% of represented libraries in FL to 33% in CO. Prior on-site overdose was associated with higher odds of naloxone uptake by the library (OR 2.5, 95% CI 1.1-5.7). Although 24% of respondents had attended a training regarding substance use in the prior year, over 90% of respondents wanted to receive additional training on the topic. Public health professionals should partner with public libraries to expand and strengthen substance use outreach and overdose prevention efforts.

State Legislators' Divergent Social Media Response to the Opioid Epidemic from 2014 to 2019: Longitudinal Topic Modeling Analysis.

BACKGROUND: The opioid epidemic is widely recognized as a legislative priority, but there is substantial variation in state adoption of evidence-based policy. State legislators' use of social media to disseminate information and to indicate support for specific initiatives continues to grow and may reflect legislators' openness to opioid-related policy change. OBJECTIVE: We sought to identify changes in the national dialogue regarding the opioid epidemic among Democratic and Republican state legislators and to estimate changing partisanship around understanding and addressing the epidemic over time. DESIGN: Longitudinal natural language processing analysis. PARTICIPANTS: A total of 4083 US state legislators in office between 2014 and 2019 with any opioid-related social media posts. MAIN MEASURES: Association between opioid-related post volume and state overdose mortality, as measured by Kendall's rank correlation coefficient. Latent Dirichlet allocation analysis of all social media posts to identify key opioid-related topics. Longitudinal analysis of differences in the prevalence of key topics among Democrats and Republicans over time. KEY RESULTS: In total, 43,558 social media posts met inclusion criteria, with the vast majority to Twitter (n=28,564; 65.6%) or Facebook (n=14,283; 32.8%). Posts were more likely to mention fentanyl and less likely to mention heroin over time. The volume of opioid-related content was positively associated with state-level unintentional overdose mortality among both Democrats (tau=0.42, P<.001) and Republicans (tau=0.39, P<.001). Democrats' social media content has increasingly spoken to holding pharmaceutical companies accountable, while Republicans' social media content has increasingly spoken to curbing illicit drug trade. Overall, partisanship across topics increased from 2016 to 2019. CONCLUSION: The volume of opioid-related social media posts by US state legislators between 2014 and 2019 is associated with state-level overdose mortality, but the content across parties is significantly different. Democrats' and Republicans' social media posts may reflect growing partisanship regarding how best to address the overdose epidemic.

A longitudinal analysis of violence and healthcare service utilization in Mexico.

OBJECTIVES: We analyze the degree to which community violence in Mexico, largely due to organized crime violence, affects health care service utilization. METHODS: This study exploits temporal and geographic variation in monthly county-level homicide rates, matching outpatient service utilization from individual longitudinal measures. Sensitivity analyses test for an age specific concentration of violence, respiratory conditions that are likely unrelated to violence, insurance status and health center availability per capita. We test for distributional responses to violence by urban and rural localities. RESULTS: The likelihood of service utilization increases by 5.2% with each additional homicide per 100,000. When we include self-reported health conditions in the model, our main coefficient remains significant at 4.5%. We find no added effect to our results from interaction terms for age specific concentration of violence, respiratory conditions, insurance status, or health center availability. A substantial increase of 11.7% in the likelihood of service utilization occurs in localities with > = 100,000 inhabitants, suggesting that service utilization is sensitive to the location of violence. CONCLUSIONS: Results highlight the relationship between and increase in violence at the local level and an increase in health care service utilization. This study is among the first to examine this relationship empirically in Mexico. Future research is needed to shed more light on this relationship and its mechanisms.

Urban residential tree canopy and perceived stress among pregnant women.

OBJECTIVE: To examine the association of urban residential tree canopy cover with perceived stress in a cohort of pregnant women in Philadelphia, PA, and explore whether this association differed among participants with a history of anxiety and depression. STUDY DESIGN: We performed a secondary analysis of 1294 participants of the Motherhood & Microbiome (M&M) pregnancy cohort who lived in Philadelphia, with first visit perceived stress (Cohen's Perceived Stress Scale, PSS-14), and key covariate data. Tree canopy cover was calculated as percent cover within 100 and 500 m radii buffers around participants' homes. We performed multilevel mixed effects linear regression models, with perceived stress as the dependent variable. The main independent variable was tree canopy coverage. Individual-level covariates included season of last menstrual period, history of depression or anxiety, race/ethnicity, insurance, parity, and age. Census tract neighborhood deprivation index was used to account for area-level socioeconomic confounding variables. We also examined whether a history of anxiety or depression, modified the association between tree canopy coverage and perceived stress. RESULTS: Most participants were non-Hispanic Black (70.6%, n = 913), on Medicaid or uninsured (60.4%, n = 781), and 15.8% (n = 204) of participants had a prior history of depression or anxiety. We did not detect associations between tree canopy coverage and perceived stress overall. However, we detected effect modification; among participants with a history of depression or anxiety, each standard deviation increase in tree canopy cover was associated with lower PSS-14 in 100 m buffers (ß -1.0, 95% CI -1.8, -0.2), but not among participants with no histories of depression or anxiety (ß 0.2, 95% CI -0.3, 0.7) (interaction P = 0.007). Results were similar in directionality but not statistically significant within 500 m buffers. CONCLUSION: Residential tree canopy coverage was associated with reduced perceived stress among urban-dwelling pregnant women with history of anxiety or depression. Future studies of the effects of greenness and other stress-reducing efforts should consider underlying mental health conditions as effect modifiers.

Naloxone prescriptions following emergency department encounters for opioid use disorder, overdose, or withdrawal.

OBJECTIVE: To determine the rate at which commercially-insured patients fill prescriptions for naloxone after an opioid-related ED encounter as well as patient characteristics associated with obtaining naloxone. METHODS: This is a retrospective cohort study of adult patients discharged from the ED following treatment for an opioid-related condition from 2016 to 2018 using a commercial insurance claims database (Optum Clinformatics® Data Mart). The primary outcome was a pharmacy claim for naloxone in the 30 days following the ED encounter. A multivariable logistic regression model examined the association of patient characteristics with filled naloxone prescriptions, and predictive margins were used to report adjusted probabilities with 95% confidence intervals. RESULTS: 21,700 patients had opioid-related ED encounters during the study period, of which 1743 (8.0%) had encounters for heroin overdose, 8825 (40.7%) for overdose due to other opioids, 5400 (24.9%) for withdrawal, and 5732 (26.4%) for other opioid use disorder conditions. 230 patients (1.1%) filled a prescription for naloxone within 30 days. Patients with heroin overdose (2.6%; 95%CI 1.7 to 3.4), recent prescriptions for opioid analgesics (1.4%; 95%CI 1.1 to 1.7), recent prescriptions for buprenorphine (1.9%; 95%CI 1.0 to 2.9), and naloxone prescriptions in the prior year (3.3%; 95%CI 1.8 to 4.8) were more likely to obtain naloxone. The rate was significantly higher in 2018 [1.9% (95%CI 1.5 to 2.2)] as compared to 0.4% (95%CI 0.3 to 0.6) in 2016. CONCLUSIONS: Few patients use insurance to obtain naloxone by prescription following opioid-related ED encounters. Clinical and policy interventions should expand distribution of this life-saving medication in the ED.

Partisan Differences in Twitter Language Among US Legislators During the COVID-19 Pandemic: Cross-sectional Study.

BACKGROUND: As policy makers continue to shape the national and local responses to the COVID-19 pandemic, the information they choose to share and how they frame their content provide key insights into the public and health care systems. OBJECTIVE: We examined the language used by the members of the US House and Senate during the first 10 months of the COVID-19 pandemic and measured content and sentiment based on the tweets that they shared. METHODS: We used Quorum (Quorum Analytics Inc) to access more than 300,000 tweets posted by US legislators from January 1 to October 10, 2020. We used differential language analyses to compare the content and sentiment of tweets posted by legislators based on their party affiliation. RESULTS: We found that health care-related themes in Democratic legislators' tweets focused on racial disparities in care (odds ratio [OR] 2.24, 95% CI 2.22-2.27; P<.001), health care and insurance (OR 1.74, 95% CI 1.7-1.77; P<.001), COVID-19 testing (OR 1.15, 95% CI 1.12-1.19; P<.001), and public health guidelines (OR 1.25, 95% CI 1.22-1.29; P<.001). The dominant themes in the Republican legislators' discourse included vaccine development (OR 1.51, 95% CI 1.47-1.55; P<.001) and hospital resources and equipment (OR 1.22, 95% CI 1.18-1.25). Nonhealth care-related topics associated with a Democratic affiliation included protections for essential workers (OR 1.55, 95% CI 1.52-1.59), the 2020 election and voting (OR 1.31, 95% CI 1.27-1.35), unemployment and housing (OR 1.27, 95% CI 1.24-1.31), crime and racism (OR 1.22, 95% CI 1.18-1.26), public town halls (OR 1.2, 95% CI 1.16-1.23), the Trump Administration (OR 1.22, 95% CI 1.19-1.26), immigration (OR 1.16, 95% CI 1.12-1.19), and the loss of life (OR 1.38, 95% CI 1.35-1.42). The themes associated with the Republican affiliation included China (OR 1.89, 95% CI 1.85-1.92), small business assistance (OR 1.27, 95% CI 1.23-1.3), congressional relief bills (OR 1.23, 95% CI 1.2-1.27), press briefings (OR 1.22, 95% CI 1.19-1.26), and economic recovery (OR 1.2, 95% CI 1.16-1.23). CONCLUSIONS: Divergent language use on social media corresponds to the partisan divide in the first several months of the course of the COVID-19 public health crisis.

How do public libraries respond to patron queries about opioid use disorder? A secret shopper study.

Background: Improving linkage to opioid use disorder (OUD) treatment and services is a public health priority. Public libraries, a community resource for health information, may be well positioned to support and guide people who use drugs, as well as their families and friends. In this study, we sought to evaluate the availability and types of resources offered to patrons inquiring about OUD information, OUD treatment, and naloxone access. Methods: We conducted an audit (secret shopper) study from April 2019 to June 2019 in which an auditor anonymously called Pennsylvania public libraries. We used a purposive sampling strategy to select libraries located in geographically diverse regions across the urban-rural continuum. We categorized responses and verified via phone or website whether referrals to treatment centers and other organizations provided OUD treatment or services. Results: We obtained responses from 100 public libraries located across 48 of the 67 counties in Pennsylvania. Among the libraries that responded, 57 provided health information resources (e.g., books, websites) and 82 provided "next step" referrals to an organization that could provide further assistance. Among the libraries that provided referrals, 39 were to treatment centers, of which 33 were specifically to treatment centers that offer medications for OUD. Of the responding libraries, 28 communicated information about naloxone access. Conclusion: Public libraries can and do connect patrons to OUD treatment and support services; however, there is wide interlibrary variation in the resources presented, demonstrating opportunities for improvement in how libraries engage and refer patrons with substance use needs.

"Ending the Epidemic" Will Not Happen Without Addressing Racial/Ethnic Disparities in the United States Human Immunodeficiency Virus Epidemic.

We estimated human immunodeficiency virus incidence and incidence rate ratios (IRRs) for black and Hispanic vs white populations in 6 cities in the United States (2020-2030). Large reductions in incidence are possible, but without elimination of disparities in healthcare access, we found that wide disparities persisted for black compared with white populations in particular (lowest IRR, 1.69 [95% credible interval, 1.19-2.30]).