Extreme Risk Protection Orders in Connecticut, 2013-2020.

Twenty-one states and the District of Columbia have enacted Extreme Risk Protection Order (ERPO) statutes, which allow temporary removal of firearms from individuals who pose an imminent risk of harm to themselves or others. Connecticut was the first state to enact such a law in 1999. The law's implementation and use between 1999 and 2013 were previously described, finding that ERPOs were pursued rarely for the first decade and that most orders were issued in response to concerns about suicide or self-harm rather than about interpersonal violence. The current study analyzes over 1,400 ERPOs in Connecticut between 2013 and 2020 in several domains: respondent demographics, circumstances leading to ERPO filing, type of threat (suicide, violence to others, or both), number and type of firearms removed, prevalence of mental illness and drug and alcohol use, and legal outcomes. Results are similar to the earlier study, indicating that ERPO respondents in Connecticut are primarily White, male, middle-aged residents of small towns and suburbs who pose a risk of harm to themselves (67.9%) more often than to others (42.8%). Significant gender differences between ERPO respondents are discussed, as are state-specific trends over time and differences between Connecticut and other states with published ERPO data.

Using qualitative system dynamics modeling to understand overdose bystander behavior in the context of Connecticut's Good Samaritan Laws and identify effective policy options.

BACKGROUND: Good Samaritan Laws are a harm reduction policy intended to facilitate a reduction in fatal opioid overdoses by enabling bystanders, first responders, and health care providers to assist individuals experiencing an overdose without facing civil or criminal liability. However, Good Samaritan Laws may not be reaching their full impact in many communities due to a lack of knowledge of protections under these laws, distrust in law enforcement, and fear of legal consequences among potential bystanders. The purpose of this study was to develop a systems-level understanding of the factors influencing bystander responses to opioid overdose in the context of Connecticut's Good Samaritan Laws and identify high-leverage policies for improving opioid-related outcomes and implementation of these laws in Connecticut (CT). METHODS: We conducted six group model building (GMB) workshops that engaged a diverse set of participants with medical and community expertise and lived bystander experience. Through an iterative, stakeholder-engaged process, we developed, refined, and validated a qualitative system dynamics (SD) model in the form of a causal loop diagram (CLD). RESULTS: Our resulting qualitative SD model captures our GMB participants' collective understanding of the dynamics driving bystander behavior and other factors influencing the effectiveness of Good Samaritan Laws in the state of CT. In this model, we identified seven balancing (B) and eight reinforcing (R) feedback loops within four narrative domains: Narrative 1 - Overdose, Calling 911, and First Responder Burnout; Narrative 2 - Naloxone Use, Acceptability, and Linking Patients to Services; Narrative 3 - Drug Arrests, Belief in Good Samaritan Laws, and Community Trust in Police; and Narrative 4 - Bystander Naloxone Use, Community Participation in Harm Reduction, and Cultural Change Towards Carrying Naloxone. CONCLUSIONS: Our qualitative SD model brings a nuanced systems perspective to the literature on bystander behavior in the context of Good Samaritan Laws. Our model, grounded in local knowledge and experience, shows how the hypothesized non-linear interdependencies of the social, structural, and policy determinants of bystander behavior collectively form endogenous feedback loops that can be leveraged to design policies to advance and sustain systems change.

The Cost of Medications at a Student-Run Free Clinic in New Haven, Connecticut, 2021-2023.

Introduction: Haven is a student-run free clinic in New Haven, Connecticut, that serves more than 500 patients annually. Haven's pharmacy department helps patients obtain medications by providing discount coupons or medications from the clinic's in-house pharmacy, directly paying for medications at local pharmacies, and delivering medications to patients' homes. This study aimed to identify prescriptions that have the highest cost among Haven patients. Methods: Our sample consisted of all Haven patients who attended the clinic from March 2021 through March 2023. Patients were eligible to be seen at Haven if they were aged 18 to 65 years, lacked health insurance, and lived in New Haven. We determined the lowest cost of each medication prescribed to Haven patients by comparing prices among local pharmacies after applying a GoodRx discount. We defined expensive medication as more than $20 per prescription. We excluded medical supplies. Results: Of the 594 Haven patients in our sample, 64% (n = 378) required financial assistance and 22% (n = 129) were prescribed at least 1 expensive medication. Among 129 patients prescribed an expensive medication, the mean (SD) age was 45.0 (12.3) years; 65% were women, and 87% were Hispanic or Latino. Median (IQR) household annual income was $14,400 [$0-$24,000]. We identified 246 expensive medications; the median (IQR) price per prescription was $31.43 ($24.00-$52.02). The most frequently prescribed expensive medications were fluticasone propionate/salmeterol (accounting for 6% of all expensive medications), medroxyprogesterone acetate (6%), albuterol sulfate (5%), and rosuvastatin (5%). Conclusion: The average Haven patient has an income well below the federal poverty level, and many have chronic cardiovascular and respiratory conditions that require expensive medications. Future research should work toward making medications universally affordable.

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.

Utilizing social determinants of health to identify most vulnerable neighborhoods-Latent class analysis and GIS map.

OBJECTIVES: Public Health officials are often challenged to effectively allocate limited resources. Social determinants of health (SDOH) may cluster in areas to cause unique profiles related to various adverse life events. The authors use the framework of unintended teen pregnancies to illustrate how to identify the most vulnerable neighborhoods. METHODS: This study used data from the U.S. American Community Survey, Princeton Eviction Lab, and Connecticut Office of Vital Records. Census tracts are small statistical subdivisions of a county. Latent class analysis (LCA) was employed to separate the 832 Connecticut census tracts into four distinct latent classes based on SDOH, and GIS mapping was utilized to visualize the distribution of the most vulnerable neighborhoods. GEE Poisson regression model was used to assess whether latent classes were related to the outcome. Data were analyzed in May 2021. RESULTS: LCA's results showed that class 1 (non-minority non-disadvantaged tracts) had the least diversity and lowest poverty of the four classes. Compared to class 1, class 2 (minority non-disadvantaged tracts) had more households with no health insurance and with single parents; and class 3 (non-minority disadvantaged tracts) had more households with no vehicle available, that had moved from another place in the past year, were low income, and living in renter-occupied housing. Class 4 (minority disadvantaged tracts) had the lowest socioeconomic characteristics. CONCLUSIONS: LCA can identify unique profiles for neighborhoods vulnerable to adverse events, setting up the potential for differential intervention strategies for communities with varying risk profiles. Our approach may be generalizable to other areas or other programs. KEY MESSAGES: What is already known on this topic Public health practitioners struggle to develop interventions that are universally effective. The teen birth rates vary tremendously by race and ethnicity. Unplanned teen pregnancy rates are related to multiple social determinants and behaviors. Latent class analysis has been applied successfully to address public health problems. What this study adds While it is the pregnancy that is not planned rather than the birth, access to pregnancy intention data is not available resulting in a dependency on teen birth data for developing public health strategies. Using teen birth rates to identify at-risk neighborhoods will not directly represent the teens at risk for pregnancy but rather those who delivered a live birth. Since teen birth rates often fluctuate due to small numbers, especially for small neighborhoods, LCA may avoid some of the limitations associated with direct rate comparisons. The authors illustrate how practitioners can use publicly available SDOH from the Census Bureau to identify distinct SDOH profiles for teen births at the census tract level. How this study might affect research, practice or policy These profiles of classes that are at heightened risk potentially can be used to tailor intervention plans for reducing unintended teen pregnancy. The approach may be adapted to other programs and other states to prioritize the allocation of limited resources.

Comparing long-term patterns of spread of native and invasive plants in a successional forest.

A fundamental question in invasive plant ecology is whether invasive and native plants have different ecological roles. Differences in functional traits have been explored, but we lack a comparison of the factors affecting the spread of co-occurring natives and invasives. Some have proposed that to succeed, invasives would colonize a wider variety of sites, would disperse farther, or would be better at colonizing sites with more available light and soil nutrients than natives. We examined patterns of spread over 70 years in a regenerating forest in Connecticut, USA, where both native and invasive species acted as colonizers. We compared seven invasive and 19 native species in the characteristics of colonized plots, variation in these characteristics, and the importance of site variables for colonization. We found little support for the hypotheses that invasive plants succeed by dispersing farther than native plants or by having a broader range of site tolerances. Colonization by invasives was also not more dependent on light than colonization by natives. Like native understory species, invasive plants spread into closed-canopy forest and species-rich communities despite earlier predictions that these communities would resist invasion. The biggest differences were that soil nitrate and the initial land cover being open field increased the odds of colonization for most invasives but only for some natives. In large part, though, the spread of native and invasive plants was affected by similar factors.

Simulating desegregation through affordable housing development: An environmental health impact assessment of Connecticut zoning law.

Residential segregation drives exposure and health inequities. We projected the mortality impacts among low-income residents of leveraging an existing 10% affordable housing target as a case study of desegregation policy. We simulated movement into newly allocated housing, quantified changes in six ambient environmental exposures, and used exposure-response functions to estimate deaths averted. Across 1000 simulations, in one year, we found on average 169 (95% CI: 84, 255) deaths averted from changes in greenness, 71 (49, 94) deaths averted from NO2, 9 (4, 14) deaths averted from noise, 1 (1, 2) excess death from O3, and 2 (1, 2) excess deaths from PM2.5, with rates of deaths averted highest among non-Hispanic Black and non-Hispanic White residents. Strengthening desegregation policy may advance environmental health equity.

E-cigarette dependence and cooling flavor use are linked among youth.

BACKGROUND: E-cigarette flavors that produce cooling sensations may reduce nicotine harshness and enhance appeal among youth. While previous research has shown that use of cooling flavors is associated with more frequent vaping among youth, it is unknown whether the same holds true for e-cigarette dependence. This study examines the relationship between cooling flavor use and e-cigarette dependence among youth accounting for vaping frequency. METHODS: In Fall 2022, a survey was conducted among Connecticut high school students to assess past-month nicotine e-cigarette use, ever use of cooling flavors, cooling flavor types (e.g., fruit-cooling), and e-cigarette dependence. Analyses were restricted to those with past-month nicotine and nicotine-free e-cigarette use and complete data (n=204). Multivariable linear regressions were run to examine the association between cooling flavor use and e-cigarette dependence, adjusting for demographics, e-cigarette use characteristics, and other tobacco product use. RESULTS: 78.4% of the sample used cooling e-cigarette flavors, with 55.0% using mint-cooling flavors and 52.5% using fruit-cooling flavors. Regression results observed that cooling flavor use was associated with higher e-cigarette dependence (ꞵ=1.53, SE=0.63, p=0.017), with those who used cooling flavors having higher e-cigarette dependence than those who did not (M=5.78 [SD=5.33] vs. 2.84 [3.19]). CONCLUSIONS: Our results suggest that cooling flavor use is significantly associated with e-cigarette dependence among youth. While regulations often target menthol flavor, tobacco control agencies should consider restricting any flavor that can produce cooling sensations, even if they are not traditional menthol products, as cooling flavors is associated with youth e-cigarette dependence.

An exploratory study of the prevalence and adverse associations of in-school traditional bullying and cyberbullying among adolescents in Connecticut.

Bullying, traditional or cyber, among adolescents, is a public health concern. In this study, we explored frequencies and correlates of different forms of bullying among Connecticut high-school students. Youth Risk Behavior Survey data from 2019 from Connecticut adolescents (N = 1814) were used. χ2 tests and survey-weighted logistic regressions examined relationships between bullying subgroups (in-school traditional bullying (ISTB) only, cyberbullying only, and both) and mental concerns, risk behaviors, academic performance, physical health, and receipt of social support, with the logistic regressions adjusted for demographics. The past-12-month frequency of having experienced only cyberbullying was 5.6%, only ISTB was 9.1%, and both forms was 8.7%. Between-group differences were observed by bullying status in terms of sex and race/ethnicity. In adjusted models, bullying status was associated with suicide attempts, suicidal ideation, self-harm, depression/dysphoria, mental health, use of alcohol, marijuana, injection drugs, tobacco, and e-vapor, gambling, driving under influence of alcohol, high-risk sexual behavior, physical fights, weapon-carrying, injuries/threats at school, feeling unsafe at school, dating violence, obesity, poor general health, insecure housing, less perceived family support, and poor academic performance. People experiencing both types of bullying were typically more likely to report adverse measures. High-school students commonly report bullying. The findings that both forms (traditional and cyber) were more robustly linked to negative experiences highlight the need for examining further relationships between types and patterns of bullying and mental health and functioning. Better understanding may help improve preventive anti-bullying interventions.

Buprenorphine prescribing and treatment accessibility in response to regulation changes due to the COVID-19 public health emergency.

BACKGROUND: In 2021, over 80,000 fatal overdoses occurred in the United States. Since 2020, the federal government has enacted multiple regulatory changes around buprenorphine prescribing for opioid use disorder (OUD) to increase access to buprenorphine. This study aims to explore trends in buprenorphine treatment initiation pre- and post-public health emergency to evaluate changes in the context of X-waiver relaxations and telehealth allowances. METHODS: In a cross-sectional study, all RI residents who filled a buprenorphine prescription at a pharmacy in Rhode Island (RI), Massachusetts, and Connecticut between January 2017 and December 2023 were obtained from the RI Prescription Drug Monitoring Program (PDMP). The study excluded buprenorphine products not approved for OUD treatment from the analysis. Identified individuals had initiated buprenorphine for OUD during the study period if they did not have a prior prescription or if they had >30 days without buprenorphine exposure between their prescriptions. Spearman's rank correlation tests were used to identify significant associations between outcomes and regulation changes. RESULTS: The average number of patients dispensed buprenorphine did not significantly change over the study period, however the average number of initiates significantly decreased (ρ = -0.38255, p = .0003). The average number of providers prescribing CII-CV substances in RI has increased 3.4 % over the study period. The average percentage of prescribers in the PDMP prescribing buprenorphine for OUD doubled (ρ = 0.96075, p < .0001). CONCLUSION: Though efforts have been made to increase buprenorphine initiation, buprenorphine initiates remain well below pre-PHE levels. Efforts must continue to eliminate existing barriers to treatment and improve access to individuals seeking treatment.

Facilitators, Barriers, and Opportunities to Implementing Sexual History Screening and Human Immunodeficiency Virus Pre-Exposure Prophylaxis at a Federally Qualified Health Center.

Sexual history screening (SHS) is recommended to determine risk for acquisition of human immunodeficiency virus (HIV) and eligibility for pre-exposure prophylaxis (PrEP). SHS and PrEP are underutilized, sequential screening, and prevention practices. This study aimed to understand factors impacting the implementation of SHS and PrEP at a multi-site federally qualified health center (FQHC) in Connecticut. Guided by the Consolidated Framework for Implementation Research, semistructured interviews were conducted on Zoom with primary care providers (PCPs), medical assistants, clinical leadership, and PrEP navigators. Convenience and purposive sampling took place via email until thematic saturation was achieved. Thematic analysis was conducted. Twenty-two participants were interviewed for this study. PCPs lacked knowledge and reported limited or no use of SHS to determine patients' level of HIV risk, which may explain why most PCPs relied on patients to request PrEP. While PCPs perceived organizational support to prescribe PrEP, clinical staff were unaware of structural resources. Lastly, participants described a vertical trajectory of influence from external sources (policies and insurance) to time allocated to appointments that limits their ability to implement SHS and PrEP, further complicated by the electronic health record and disparities in structural resources across clinical sites. This study provides foundational evidence for future research on implementation strategies to improve HIV prevention through universal, comprehensive SHS to identify patients for PrEP. Overcoming barriers to SHS and PrEP, particularly in clinical settings such as FQHCs that care for vulnerable populations, may improve identification, prevention, and treatment of HIV and aid in ending the HIV epidemic.

Adopt-A-Classroom Program: A Potential Platform to Address the Root of Health Disparities in the US.

The underrepresentation of Black doctors is a significant issue in the US that led to the perpetuation of health disparities in the African American community. Racial and ethnic minorities in the US have been shown to have higher rates of chronic diseases, such as hypertension, diabetes, and cardiovascular disease, as well as higher rates of obesity and premature death compared to White people. While Blacks make up more than 13% of the US population, they comprise only 4% of US doctors and less than 7% of medical students. It is believed that this problem requires more deliberate efforts by policymakers and the educational establishment, not only at the undergraduate and medical school level, but earlier in the educational "pipeline"-the K-12 school system. While the medical field is rooted in Science, Technology, Engineering, and Mathematics (STEM), we have launched a new initiative that will provide year-round STEM development activities for K-12 education in Connecticut in Hartford and Waterbury districts, especially among populations with health disparities.

A Comparison of Two Statewide Datasets to Understand Population Prevalence of Substance Use in Pregnancy: Findings and Considerations for Policy & Research.

Mental health conditions including substance use disorder are the leading cause of pregnancy-related deaths in the U.S. Unfortunately, fears of child protective services' involvement interfere with maternal self-disclosure of substance use in pregnancy. Seeking to identify more mothers with substance use disorder in pregnancy or at delivery, and responsive to changes to the federal Child Abuse Prevention and Treatment Act (CAPTA), Connecticut requires hospital personnel to submit a deidentified notification to CPS for all newborns with prenatal substance exposure. However, it is unknown whether this approach aligns with maternal self-report on substance use. For the present study, we compared population parameters derived from CAPTA notifications submitted between March-December 2019 with parameters derived from self-report data on substance use in pregnancy from mothers who gave birth during the same timeframe. Results revealed that three times as many mothers self-reported any alcohol or drug use in pregnancy compared to the rate measured with CAPTA notifications. Compared to mothers who self-reported drug use in the third trimester, CAPTA notifications were made for statistically similar rates of Black mothers but half the self-reported rate of White and Hispanic mothers. This disparity reflects that CAPTA notifications were made for twice as many Black mothers as White or Hispanic. Although CAPTA notifications are not punitive in nature, this disparity reveals that the public health aims of this policy are not yet achieved.

Environmental Impact of a Direct Laryngoscopy: Opportunities for Pollution Mitigation.

OBJECTIVE: To quantify the environmental impact of standard direct laryngoscopy surgery and model the environmental benefit of three feasible alternative scenarios that meet safe decontamination reprocessing requirements. STUDY DESIGN: This is a life cycle assessment (LCA) modeling study. SETTING: Yale-New Haven Hospital (YNHH), a 1541-bed tertiary medical center in New Haven, Connecticut, USA. METHODS: We performed cradle-to-grave LCA of DLS at Yale New Haven Hospital in 2022, including global warming potential (GWP), water consumption, and fine particulate matter formation. Three alternative scenarios were modeled: disinfecting surgical tools using high-level disinfection rather than steam sterilization, substituting non-sterile for sterile gloves and gowns; and reducing surgical towel and drape sizes by 30%. RESULTS: Changes in disinfection practices would decrease procedure GWP by 11% in each environmental impact category. Substituting non-sterile gowns and gloves reduced GWP by 15%, with nominal changes to water consumption. Linen size reduction resulted in 28% less procedure-related water consumption. Together, a nearly 30% reduction across all environmental impact categories could be achieved. CONCLUSIONS: Not exceeding minimum Center for Disease Control (CDC) decontamination standards for reusable devices and optimizing non-sterile consumable materials could dramatically reduce healthcare-associated emissions without compromising safety, thereby minimizing the negative consequences of hospital operations to environmental and human health. Findings extend to other non-sterile surgical procedures. LEVEL OF EVIDENCE: NA Laryngoscope, 134:3206-3214, 2024.

Using Data-To-Care Strategies to Optimize the HIV Care Continuum in Connecticut: Results From a Randomized Controlled Trial.

BACKGROUND: Re-engaging people with HIV who are newly out-of-care remains challenging. Data-to-care (D2C) is a potential strategy to re-engage such individuals. METHODS: A prospective randomized controlled trial compared a D2C strategy using a disease intervention specialist (DIS) vs standard of care where 23 HIV clinics in 3 counties in Connecticut could re-engage clients using existing methods. Using a data reconciliation process to confirm being newly out-of-care, 655 participants were randomized to DIS (N = 333) or standard of care (N = 322). HIV care continuum outcomes included re-engagement at 90 days, retention in care, and viral suppression by 12 months. Multivariable regression models were used to assess factors predictive of attaining HIV care continuum outcomes. RESULTS: Participants randomized to DIS were more likely to be re-engaged at 90 days (adjusted odds ratios [aOR] = 1.42, P = 0.045). Independent predictors of re-engagement at 90 days were age older than 40 years (aOR = 1.84, P = 0.012) and perinatal HIV risk category (aOR = 3.19, P = 0.030). Predictors of retention at 12 months included re-engagement at 90 days (aOR = 10.31, P < 0.001), drug injection HIV risk category (aOR = 1.83, P = 0.032), detectable HIV-1 RNA before randomization (aOR = 0.40, P = 0.003), and county (Hartford aOR = 1.74, P = 0.049; New Haven aOR = 1.80, P = 0.030). Predictors of viral suppression included re-engagement at 90 days (aOR = 2.85, P < 0.001), retention in HIV care (aOR = 7.07, P < 0.001), and detectable HIV-1 RNA prerandomization (aOR = 0.23, P < 0.001). CONCLUSIONS: A D2C strategy significantly improved re-engagement at 90 days. Early re-engagement improved downstream benefits along the HIV care continuum like retention in care and viral suppression at 12 months. Moreover, other factors predictive of care continuum outcomes can be used to improve D2C strategies.

A 16-Year Chronicle of Developing a Healthy Workplace Participatory Program for Total Worker Health® in the Connecticut Department of Correction: The Health Improvement through Employee Control (HITEC) Program.

Health Improvement Through Employee Control (HITEC) is a 16-year program directed toward the health of corrections personnel and developed through the application of the principles of Participatory Action Research (PAR) and participatory ergonomics. Its impetus has always been the adverse health status of the corrections workforce: early mortality, depression, obesity, and hypertension. The HITEC program trained small "Design Teams" (DTs) of front-line personnel in participatory methods for intervention design for health improvement and organizational change in line with the Total Worker Health® principles. Periodic surveys and physical testing were introduced for longitudinal assessments. Comparative interventions at comparable sites included DTs without a priori assignation, problem-focused kaizen effectiveness teams (KETs), and bargaining unit-centered DTs. DT resilience and the replacement of members who transferred facilities or retired was aided by novel cooperative administrative structures. DT-generated interventions included stress lounges, changes in critical event report writing, a joint program with trained inmates to improve air quality, and training in staff mental health and sleep behavior. A specialized peer-to-peer Health Mentoring Program (HMP) paired new officers with trained peers. Many interventions and program features were institutionalized, thus improving prospects for self-supporting program longevity. Participatory interventions designed and supported by the corrections workforce were found to be both feasible and exceptionally effective.

Evaluation of landscaping and vegetation management to suppress host-seeking Ixodes scapularis (Ixodida: Ixodidae) nymphs on residential properties in Connecticut, USA.

Ticks and tick-borne diseases are of increasing concern across the United States, particularly in the Northeast. Ixodes scapularis Say (Ixodida: Ixodidae) remains the primary vector for the Lyme disease spirochete, Borrelia burgdorferi (Johnson, Schmid, Hyde, Steigerwalt, and Brenner). Prior studies established that I. scapularis can be found in greatest abundance in the 1-m forested ecotone surrounding the lawn edge in residential backyards. Our study was conducted on 42 properties in Guilford, CT, and sought to expand upon this premise by determining which key habitat features were associated with increased densities of host-seeking I. scapularis nymphs. We quantified nymphal abundances in 19 different habitat types that were posited to influence densities. We determined that nymphal I. scapularis densities were greatest in forested areas closest to lawn edges with leaf litter or understory vegetation present, as well as short lawns adjacent to woodland edges. Additionally, we determined that there were no significant declines in nymphal I. scapularis density where leaf litter was removed, lawns were left unmowed, or woodchip barriers were installed. Bird feeders and woodpiles were not associated with increased nymphal I. scapularis densities. However, areas adjacent to stone walls did have nearly 3 times the density of I. scapularis nymphs present compared with habitats without stone walls. The culmination of the results from this study can be utilized to create more targeted acaricide applications rather than broadcast spraying, as well as increase homeowner awareness for areas with heightened risk for exposure to nymphal I. scapularis, which are deemed the most epidemiologically important species and stage for pathogen transfer to humans.

Phytoplankton assemblage responses to nitrogen following COVID-19 stay-in-place orders in western Long Island Sound (New York/Connecticut).

This study evaluated water quality, nitrogen (N), and phytoplankton assemblage linkages along the western Long Island Sound (USA) shoreline (Nov. 2020-Dec. 2021) following COVID-19 stay-in-place (SIP) orders through monthly surveys and N-addition bioassays. Ammonia-N (AmN; NH3+NH4+) negatively correlated with total chlorophyll-a (chl-a) at all sites; this was significant at Alley Creek, adjacent to urban wastewater inputs, and at Calf Pasture, by the Norwalk River (Spearman rank correlation, p < 0.01 and 0.02). Diatoms were abundant throughout the study, though dinoflagellates (Heterocapsa, Prorocentrum), euglenoids/cryptophytes, and both nano- and picoplankton biomass increased during summer. In field and experimental assessments, high nitrite + nitrate (N + N) and low AmN increased diatom abundances while AmN was positively linked to cryptophyte concentrations. Likely N + N decreases with presumably minimal changes in AmN and organic N during COVID-19 SIP resulted in phytoplankton assemblage shifts (decreased diatoms, increased euglenoids/cryptophytes), highlighting the ecological impacts of N-form delivered by wastewater to urban estuaries.

Linking crash and breathalyzer data in Connecticut.

OBJECTIVES: To document the process of linking breathalyzer and motor vehicle crash (MVC) data for the State of Connecticut using a unique identifier in the place of personal and private information. METHODS: Deterministic linkage methodologies were utilized in Microsoft SQL Server to join 5,634 (of 6,650) breathalyzer records to corresponding MVC driver records for the period of January 1, 2017 to December 31, 2022. Differences between the linked and original datasets were documented by comparing the consistency of frequency and proportion distributions of key variables. RESULTS: Proportions of annual records, alcohol breath tests, and refusals were nearly unchanged when comparing linked and original breathalyzer data. When examining variables in the original MVC driver records, there were differences in the within-group proportions for sex and age, with an overrepresentation of males and drivers aged 26-to-40 years old. For crash and injury severity, the linked dataset had lower proportions of more severe injury records when compared to the original MVC data. Additionally, 1,007 breathalyzer records were not matched with an associated MVC record. CONCLUSIONS: Linkage methodology is sound and produced quality matches. The use of a unique identifier provided a strong match qualifier in the absence of personal and private data. Changes in proportions for age, sex, crash and injury severity align with previous research. Potential missed matches may be attributed to several factors outside of the linkage process, including data discrepancies and varied reporting practices. Future studies will further explore these differences and incorporate additional toxicology data as part of a continued effort to fuze crash, citation, toxicology, and public health data. The end result will be a holistic, comprehensive, and multifaceted database for transportation research and education.

Adopting a Novel Approach to Prevent and Address Patient Mistreatment of Staff in a Community Mental Health Center.

Verbal mistreatment of staff by patients is common in health care settings. Experiencing or witnessing mistreatment can have harmful psychological impacts, affecting well-being and clinical practice. As part of an effort to become an antiracist organization, an academic community mental health center based in Connecticut developed an initiative to address verbal mistreatment. Training in the Expect, Recognize, Address, Support, Establish (ERASE) framework was provided to 140 staff members. This training and subsequent actions to enhance the culture of safety were perceived as helpful by staff. Further development of the initiative is proceeding as the center's primary performance improvement program.