Coast-to-Coast Spread of SARS-CoV-2 during the Early Epidemic in the United States.

The novel coronavirus SARS-CoV-2 was first detected in the Pacific Northwest region of the United States in January 2020, with subsequent COVID-19 outbreaks detected in all 50 states by early March. To uncover the sources of SARS-CoV-2 introductions and patterns of spread within the United States, we sequenced nine viral genomes from early reported COVID-19 patients in Connecticut. Our phylogenetic analysis places the majority of these genomes with viruses sequenced from Washington state. By coupling our genomic data with domestic and international travel patterns, we show that early SARS-CoV-2 transmission in Connecticut was likely driven by domestic introductions. Moreover, the risk of domestic importation to Connecticut exceeded that of international importation by mid-March regardless of our estimated effects of federal travel restrictions. This study provides evidence of widespread sustained transmission of SARS-CoV-2 within the United States and highlights the critical need for local surveillance.

In-person learning during the pandemic: Student take-up and school-level effects of remote and hybrid instruction on student outcomes.

While studies have examined the effects of schools offering in-person learning during the pandemic, this study provides analysis of student enrollment decisions (remote versus in-person) in response to schools providing in-person learning opportunities. In Connecticut during the 2020-21 school year, we find that student take-up of in-person learning opportunities was low with students on average enrolled in-person for only half of the days offered, and take-up was even lower in schools with larger shares of disadvantaged students. The provision of in-person learning opportunities has been previously shown to mitigate pandemic learning losses. By exploiting data on actual enrollment, we show that the protective benefits of in-person learning are twice as large as previously estimated once we account for the low rates of student take-up. Finally, we provide evidence suggesting that a key mechanism behind the benefits of in-person learning is alleviating the burden faced by schools and teachers in delivering remote education. First, we show that the benefits to individual students of their in-person learning are substantially smaller than the overall benefits a student receives from their school average level of in-person enrollment. Second, we show that a combination of remote and in-person learning (hybrid) with a full-time on-line presence of students when at home was worse than hybrid learning with students never or only partially online. This second finding is consistent with qualitative evidence showing that teachers found hybrid learning especially challenging when having to manage both in-person and remote students for the entire class period.

A man for all seasons: reflections on the life and legacy of George Palade.

In this perspective, I review the scientific career of George E. Palade, the man many consider to be the father of cell biology. Palade's scientific contributions spanned more than 50 years (from the late 1940s to 2001) and were amazingly diverse and fundamental. He is best known for his discovery of ribosomes, for establishing their role in protein synthesis, and for delineation of the secretory pathway. In addition to these groundbreaking contributions, he also developed basic techniques for tissue preservation and cell fractionation that allowed rapid progress during the early days of cell biology, and he and his collaborators provided the first description of the mitochondrial cristae, neuronal synapses, junctional complexes in epithelia, plasmalemmal vesicles, and Weibel-Palade bodies in endothelium, among others. He and his collaborators also contributed key experimental data to our understanding not only of protein synthesis and the secretory process but also of membrane biogenesis and vascular permeability. In addition to his scientific discoveries, he had a profound impact on the lives of many cell biologists and served the scientific community tirelessly while making major contributions to the development of cell biology in three major institutions.

Lack of association between pandemic chilblains and SARS-CoV-2 infection.

An increased incidence of chilblains has been observed during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic and attributed to viral infection. Direct evidence of this relationship has been limited, however, as most cases do not have molecular evidence of prior SARS-CoV-2 infection with PCR or antibodies. We enrolled a cohort of 23 patients who were diagnosed and managed as having SARS-CoV-2-associated skin eruptions (including 21 pandemic chilblains [PC]) during the first wave of the pandemic in Connecticut. Antibody responses were determined through endpoint titration enzyme-linked immunosorbent assay and serum epitope repertoire analysis. T cell responses to SARS-CoV-2 were assessed by T cell receptor sequencing and in vitro SARS-CoV-2 antigen-specific peptide stimulation assays. Immunohistochemical and PCR studies of PC biopsies and tissue microarrays for evidence of SARS-CoV-2 were performed. Among patients diagnosed and managed as "covid toes" during the pandemic, we find a percentage of prior SARS-CoV-2 infection (9.5%) that approximates background seroprevalence (8.5%) at the time. Immunohistochemistry studies suggest that SARS-CoV-2 staining in PC biopsies may not be from SARS-CoV-2. Our results do not support SARS-CoV-2 as the causative agent of pandemic chilblains; however, our study does not exclude the possibility of SARS-CoV-2 seronegative abortive infections.

Establishment of Amblyomma maculatum Ticks and Rickettsia parkeri the Northeastern United States.

We document a case of Rickettsia parkeri rickettsiosis in a patient in Connecticut, USA, who became ill after a bite from a Gulf Coast tick (Amblyomma maculatum). We used PCR to amplify R. parkeri DNA from the detached tick. The patient showed a 4-fold rise in IgG reactive with R. parkeri antigens.

Assessment of disparities in timely diagnosis and comprehensive workup of cognitive impairment between English and Spanish speakers.

BACKGROUND: Previous studies have examined disparities in dementia care that affect the U.S. Hispanic/Latino population, including clinician bias, lack of cultural responsiveness, and less access to health care. However, there is limited research that specifically investigates the impact of language barriers to health disparities in dementia diagnosis. METHODS: In this retrospective cross-sectional study, 12,080 English- or Spanish- speaking patients who received an initial diagnosis of mild cognitive impairment (MCI) or dementia between July 2017 and June 2019 were identified in the Yale New Haven Health (YNHH) electronic medical record. To evaluate the timeliness of diagnosis, an initial diagnosis of MCI was classified as "timely", while an initial diagnosis of dementia was considered "delayed." Comprehensiveness of diagnosis was assessed by measuring the presence of laboratory studies, neuroimaging, specialist evaluation, and advanced diagnostics six months before or after diagnosis. Binomial logistic regressions were calculated with and without adjustment for age, legal sex, ethnicity, neighborhood disadvantage, and medical comorbidities. RESULTS: Spanish speakers were less likely to receive a timely diagnosis when compared with English speakers both before (unadjusted OR, 0.65; 95% CI, 0.53-0.80, p <0.0001) and after adjusting for covariates (adjusted OR, 0.55; 95% CI, 0.40-0.75, p = 0.0001). Diagnostic services were provided equally between groups, except for referrals to geriatrics, which were more frequent among Spanish-speaking patients. A subgroup analysis revealed that Spanish-speaking Hispanic/Latino patients were less likely to receive a timely diagnosis compared to English-speaking Hispanic/Latino patients (adjusted OR, 0.53; 95% CI, 0.38-0.73, p = 0.0001). CONCLUSIONS: Non-English language preference is likely to be a contributing factor to timely diagnosis of cognitive impairment. In this study, Spanish language preference rather than Hispanic/Latino ethnicity was a significant predictor of a less timely diagnosis of cognitive impairment. Policy changes are needed to reduce barriers in cognitive disorders care for Spanish-speaking patients.

Outcomes Following Implementation of an Electronic Model for Perioperative Hematologic Consultation.

INTRODUCTION: Electronic consultations (e-consults) for periprocedural hematologic questions were introduced at the VA Connecticut Healthcare System in 2011. We sought to explore the relationship between the availability of e-consults, referral patterns, and surgical outcomes. METHODS: A single-center retrospective study of all perioperative hematologic consultations from 2006 to 2018 was conducted. Patient characteristics, indications, and outcomes were analyzed. Primary outcome measures were time from consult to surgery and operative morbidity via Clavien-Dindo classification. Secondary outcomes included consult volume and procedural outcomes of interest. RESULTS: Of 357 consultations, 62% were conducted via e-consults. 68.3% had associated procedural data and constituted the study cohort. Annual consult volume increased from 7 in 2006 to 41 in 2018, a 5.8-fold increase. E-consults comprised 20% of consults in 2011 but had risen to 92.3% in 2018. Time to resolution of e-consults after 2011 improved compared to pre-face-to-face (FTF-pre, P = 0.001) and FTF-post (P = 0.002). Time from consult to surgery remained unchanged. 8.4% had major complications (Clavien-Dindo >2) with readmission or reoperation occurring in 4.0% and 3.7%, respectively. Intraoperative and postoperative transfusions were required in 15.2% and 13.1% of cases, respectively. Hematologic complications (i.e., deep vein thrombosis/pulmonary embolism) occurred in 3.5%. Comparison between FTF and e-consults revealed no significant differences in these outcomes (P > 0.05, all). CONCLUSIONS: E-consults for perioperative hematologic issues were rapidly adopted and addressed more quickly than FTF consultation while time to surgery was unchanged despite increased consult volume. Adoption of the e-consult model was not associated with changes in the assessed operative outcomes.

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.

Atypical pneumonia testing in transplant recipients.

BACKGROUND: The incidence of atypical pneumonia among immunocompromised patients is not well characterized. Establishing a diagnosis of atypical pneumonia is challenging as positive tests must be carefully interpreted. We aimed to assess the test positivity rate and incidence of atypical pneumonia in transplant recipients. METHODS: A retrospective cohort study was conducted at the Yale New Haven Health System in Connecticut. Adults with solid organ transplant, hematopoietic stem cell transplant (HSCT), or chimeric antigen receptor T-cell, who underwent testing for atypical pathogens of pneumonia (Legionella pneumophilia, Mycoplasma pneumoniae, Chlamydia pneumoniae, and Bordetella pertussis) between January 2016 and August 2022 were included. Positive results were adjudicated in a clinical context using pre-defined criteria. A cost analysis of diagnostic testing was performed. RESULTS: Note that, 1021 unique tests for atypical pathogens of pneumonia were performed among 481 transplant recipients. The testing positivity rate was 0.7% (n = 7). After clinical adjudication, there were three cases of proven Legionella and one case of possible Mycoplasma infection. All cases of legionellosis were in transplant recipients within 1-year post-transplantation with recently augmented immunosuppression and lymphopenia. The possible case of Mycoplasma infection was in an HSCT recipient with augmented immunosuppression. The cost of all tests ordered was $50,797.73. CONCLUSION: The positivity rate of tests for atypical pneumonia was very low in this transplant cohort. An algorithmic approach that targets testing for those with compatible host, clinical, radiographic, and epidemiologic factors, and provides guidance on test selection and test interpretation, may improve the diagnostic yield and lead to substantial cost savings.

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.

Educator perspectives on stressors and health: a qualitative study of U.S. K-12 educators in February 2022.

BACKGROUND: Teachers experienced increased stressors and stress during the initial onset of the COVID-19 pandemic. While many educators returned to in-person instruction in the 2021-2022 school year, they faced changing job demands and stressors which has important implications for educator well-being. We sought to understand the stressors and health impacts faced by U.S. educators in the 2021-2022 school year, two years following the acute phase of the pandemic. METHODS: Thirty-four certified educators based in Connecticut, USA participated in four virtual focus groups in February 2022. A semi-structured focus group script, designed by the research team and guided by the job demands-resources model, was administered to understand stressors and stress impacts. Data were transcribed and analyzed using the constant comparative method to identify themes and sub-themes. Themes were summarized based on how many participants mentioned them. RESULTS: Analysis of the qualitative data yielded three themes concerning the well-being impacts of stress: physical health and health behaviors, psychological health, and relationships and social well-being behaviors. The majority of educators indicated impacts in these domains with 76% indicating impacts on physical health and health behaviors (e.g. poor sleep, physical exhaustion, lack of exercise, unhealthy eating), 62% indicating impacts on psychological health (e.g. emotional exhaustion, anxiety, negative self-evaluation); and 68% indicating impacts on relationships social well-being behaviors (e.g. connections with family or friends, connections with others, relationships with coworkers). The majority (94%) of educators indicated that stressors from the school or district with the majority (91%) citing stressors related to protocols/expectations (e.g. excessive or increased demands, insufficient or decreased resources) and some (38%) administrators. Over half (62%) indicated personal stressors including personal/home life (41%), high personal expectations (18%), and income (18%). Some (35%) indicated either the pandemic (26%) or safety concerns (9%) were stressors. Some (24%) cited students' parents as a stressor and a few indicated community (12%), students (12%), and state or national level (9%) stressors. CONCLUSION: Educator well-being continued to be impacted in the post-pandemic era. Targeted interventions are needed to reduce school and district-related demands and to address stress-related educator well-being.

Barriers and Opportunities to Improve Healthcare Access for Uninsured Patients at a Student-Run Free Clinic in New Haven, Connecticut.

INTRODUCTION: Uninsured patients have limited options to pay for necessary medical services. Most United States hospitals offer financial assistance programs (FAPs) to help patients pay for care, but the challenges of accessing these programs demonstrate a need for more solutions. METHODS: This study was a retrospective review of 200 randomly sampled HAVEN Free Clinic patients from September 2022 to September 2023. Patients were eligible to be seen at HAVEN if 18-65 years old, without health insurance, and living in New Haven County, Connecticut. Application histories to Medicaid and hospital FAP at a non-profit tertiary care center in Connecticut were assessed. RESULTS: In the 200-patient sample, average age was 43.4 ± 11.2 years old, 61.0% were female, and 86.5% were Hispanic or Latino. 68% were employed with a median household yearly income of $18,200 [$7,293-$26,741]. 80% had applied for a hospital FAP-71.1% were currently approved for Free Care or Discounted Care. 6% were approved for Medicaid; 2.5% were approved for Emergency Medicaid. Of those who applied for a hospital FAP, 28.3% received ≥ 1 application denial. Most common hospital FAP denial reasons were missing, wrong, or outdated proof of income (93.9%), and incomplete application (6.1%). CONCLUSION: Hospital FAPs and Medicaid provide important access to care for uninsured patients, but are not without barriers and should not be viewed as the only solution. Improving hospital FAP access involves assessing eligibility at presentation, extending approval duration, and advocating for more funding. Addressing these barriers can advance equitable care for all.

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.

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.

Providers' knowledge and perception of xylazine in the unregulated drug supply: a sequential explanatory mixed-methods study.

BACKGROUND: Xylazine is increasingly prevalent in the unregulated opioid supply in the United States. Exposure to this adulterant can lead to significant harm, including prolonged sedation and necrotic wounds. In the absence of literature describing healthcare providers' experiences with treating patients who have been exposed to xylazine, we aimed to explore what gaps must be addressed to improve healthcare education and best practices. METHODS: From October 2023 to February 2024, we conducted a sequential explanatory mixed-methods study, with (1) a quantitative survey phase utilizing convenience sampling of healthcare providers treating patients in Connecticut and (2) a qualitative semi-structured interview phase utilizing purposive sampling of providers with experience treating patients with xylazine exposure. Summary statistics from the survey were tabulated; interview transcripts were analyzed using thematic analysis. RESULTS: Seventy-eight eligible healthcare providers participated in our survey. Most participants had heard of xylazine (n = 69, 95.8%) and had some knowledge about this adulterant; however, fewer reported seeing one or more patients exposed to xylazine (n = 46, 59.8%). After sampling from this subgroup, we conducted fifteen in-depth interviews. This qualitative phase revealed five themes: (1) while xylazine is novel and of concern, this is not necessarily exceptional (i.e., there are other emerging issues for patients who use drugs); (2) participants perceived that xylazine was increasingly prevalent in the drug supply, even if they were not necessarily seeing more patients with xylazine-related outcomes (XROs); (3) patients primarily presented with non-XROs, making it difficult to know when conversations about xylazine were appropriate; (4) patients with XROs may experience issues accessing healthcare; (5) providers and their patients are learning together about how to minimize XROs and reduce the sense of helplessness in the face of a novel adulterant. CONCLUSIONS: Xylazine-specific education for healthcare providers is currently insufficient. Improving this education, as well as resources (e.g., drug checking technologies) and data (e.g., research on prevention and treatment of XROs), is crucial to improve care for patients who use drugs.

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.

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.

A Series of 8 Illicit Fentanyl Intoxication Deaths in Infants and Toddlers.

ABSTRACT: We report 8 children younger than 2 years who died from acute illicit fentanyl intoxications in Connecticut between 2020 and 2022.The Connecticut Office of the Chief Medical Examiner (CT OCME) investigates all unexpected, violent, and suspicious deaths in Connecticut. The CT OCME's electronic database was searched for fentanyl deaths by age. All underwent autopsies and toxicology testing.The ages ranged from 28 days to 2 years (mean age, 12 months). The causes of death involved acute fentanyl intoxications with 1 having xylazine, 1 having para-fluorofentanyl, and 1 having cocaine and morphine. All the manners of death were certified as homicide. The postmortem fentanyl blood concentrations ranged from 0.40 to 46 ng/mL. Most of the children were found unresponsive after being put to sleep. Three were co-sleeping with adults (2 in bed; 1 on a recliner). There was a known history of parental/caregiver drug abuse in 7 of 8 of the fatalities.We summarize the key investigative, autopsy, and toxicological findings. As illicit fentanyl use increases, there is a potential for infant exposure and death. The investigation and certification of these deaths and the role of intentional administration versus inadvertent exposure due to caregiver neglect in the context of the certification of the manner of death are described.

Femicide in the United States: A Study of Connecticut Autopsy and Death Investigation Data.

ABSTRACT: We examined the records of the Connecticut Office of the Chief Medical Examiner for all female homicides from 2012 to 2021 to ascertain the rate of femicide. The investigative data were subcategorized as femicides and nonfemicides. The records included autopsy, toxicology, and investigators' reports. All underwent autopsy examination. The relationship of the perpetrator, cause of death, and special circumstances were examined in conjunction with the United Nations operational criteria. If the death investigation did not identify the suspected perpetrator, news media were searched for a reported homicide or manslaughter arrest. The total number of homicides was 271, and 259 (96%) could be further categorized, of which 181 (70%) were femicides. Differences between the 2 cohorts included causes of death ( P 's < 0.001), age at death ( P < 0.001), and the involvement of murder-suicide ( P < 0.001). No differences were observed for race, and the yearly rate of femicides did not increase during the COVID-19 pandemic.

Understanding Barriers and Facilitators of Primary Care Use Among Assertive Community Treatment Teams Via Qualitative Analysis of Clients and Clinicians.

Individuals with severe mental illness and substance use disorders face complex barriers to achieving physical health. This study aims to explore the barriers and facilitators of primary care access among an Assertive Community Treatment (ACT) team. Semi-structured qualitative interviews were conducted with 14 clients and 7 clinicians from an ACT team at a community mental health center in Connecticut. Data analysis followed a grounded theory approach, with codes and themes emerging iteratively during the interview process. The study identified multifaceted barriers to accessing primary care, including economic challenges, homelessness, and the prioritization of mental health and substance use symptoms over healthcare. The conceptual framework consists of nine dominant themes: clients' attitudes, knowledge, mental health, and motivations ("Client-Level Barriers and Facilitators"); ACT team-directed care coordination and relationship-building as well as primary care provider communication ("Provider-Level Barriers and Facilitators"); and clients' experiences with medical care and socioeconomic status ("Systemic-Level Barriers and Facilitators"). This research provides valuable insights into the various barriers faced by ACT clients in accessing primary care. Improving primary care access for individuals with severe mental illness and substance use disorders is crucial for reducing health disparities in this vulnerable population.