BACKGROUND: The COVID-19 pandemic sparked a surge of research publications spanning epidemiology, basic science, and clinical science. Thanks to the digital revolution, large data sets are now accessible, which also enables real-time epidemic tracking. However, despite this, academic faculty and their trainees have been struggling to access comprehensive clinical data. To tackle this issue, we have devised a clinical data repository that streamlines research processes and promotes interdisciplinary collaboration.
OBJECTIVE: This study aimed to present an easily accessible up-to-date database that promotes access to local COVID-19 clinical data, thereby increasing efficiency, streamlining, and democratizing the research enterprise. By providing a robust database, a broad range of researchers (faculty and trainees) and clinicians from different areas of medicine are encouraged to explore and collaborate on novel clinically relevant research questions.
METHODS: A research platform, called the Yale Department of Medicine COVID-19 Explorer and Repository (DOM-CovX), was constructed to house cleaned, highly granular, deidentified, and continually updated data from over 18,000 patients hospitalized with COVID-19 from January 2020 to January 2023, across the Yale New Haven Health System. Data across several key domains were extracted including demographics, past medical history, laboratory values during hospitalization, vital signs, medications, imaging, procedures, and outcomes. Given the time-varying nature of several data domains, summary statistics were constructed to limit the computational size of the database and provide a reasonable data file that the broader research community could use for basic statistical analyses. The initiative also included a front-end user interface, the DOM-CovX Explorer, for simple data visualization of aggregate data. The detailed clinical data sets were made available for researchers after a review board process.
RESULTS: As of January 2023, the DOM-CovX Explorer has received 38 requests from different groups of scientists at Yale and the repository has expanded research capability to a diverse group of stakeholders including clinical and research-based faculty and trainees within 15 different surgical and nonsurgical specialties. A dedicated DOM-CovX team guides access and use of the database, which has enhanced interdepartmental collaborations, resulting in the publication of 16 peer-reviewed papers, 2 projects available in preprint servers, and 8 presentations in scientific conferences. Currently, the DOM-CovX Explorer continues to expand and improve its interface. The repository includes up to 3997 variables across 7 different clinical domains, with continued growth in response to researchers\' requests and data availability.
CONCLUSIONS: The DOM-CovX Data Explorer and Repository is a user-friendly tool for analyzing data and accessing a consistently updated, standardized, and large-scale database. Its innovative approach fosters collaboration, diversity of scholarly pursuits, and expands medical education. In addition, it can be applied to other diseases beyond COVID-19.

More than half of suicide deaths in the United States result from self-inflicted firearm injuries. Extreme risk protection order (ERPO) laws in 21 states and the District of Columbia temporarily limit access to firearms for individuals found in a civil court process to pose an imminent risk of harm to themselves or others. Research with large multistate study populations has been lacking to determine effectiveness of these laws. This study assembled records pertaining to 4,583 ERPO respondents in California, Connecticut, Maryland, and Washington. Matched records identified suicide decedents and self-injury method. Researchers applied case fatality rates for each suicide method to estimate nonfatal suicide attempts corresponding to observed deaths. Comparison of counterfactual to observed data patterns yielded estimates of the number of lives saved and number of ERPOs needed to avert one suicide. Estimates varied depending on the assumed probability that a gun owner who attempts suicide will use a gun. Two evidence-based approaches yielded estimates of 17 and 23 ERPOs needed to prevent one suicide. For the subset of 2,850 ERPO respondents with documented suicide concern, comparable estimates were 13 and 18, respectively. This study\'s findings add to growing evidence that ERPOs can be an effective and important suicide prevention tool.

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.
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.
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.
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.

BACKGROUND: Lyme disease continues to expand in Canada and the USA and no single intervention is likely to curb the epidemic.
METHODS: We propose a platform to quantitatively assess the effectiveness of a subset of Ixodes scapularis tick management approaches. The platform allows us to assess the impact of different control treatments, conducted either individually (single interventions) or in combination (combined efforts), with varying timings and durations. Interventions include three low environmental toxicity measures in differing combinations, namely reductions in white-tailed deer (Odocoileus virginianus) populations, broadcast area-application of the entomopathogenic fungus Metarhizium anisopliae, and fipronil-based rodent-targeted bait boxes. To assess the impact of these control efforts, we calibrated a process-based mathematical model to data collected from residential properties in the town of Redding, southwestern Connecticut, where an integrated tick management program to reduce I.xodes scapularis nymphs was conducted from 2013 through 2016. We estimated parameters mechanistically for each of the three treatments, simulated multiple combinations and timings of interventions, and computed the resulting percent reduction of the nymphal peak and of the area under the phenology curve.
RESULTS: Simulation outputs suggest that the three-treatment combination and the bait boxes-deer reduction combination had the overall highest impacts on suppressing I. scapularis nymphs. All (single or combined) interventions were more efficacious when implemented for a higher number of years. When implemented for at least 4 years, most interventions (except the single application of the entomopathogenic fungus) were predicted to strongly reduce the nymphal peak compared with the no intervention scenario. Finally, we determined the optimal period to apply the entomopathogenic fungus in residential yards, depending on the number of applications.
CONCLUSIONS: Computer simulation is a powerful tool to identify the optimal deployment of individual and combined tick management approaches, which can synergistically contribute to short-to-long-term, costeffective, and sustainable control of tick-borne diseases in integrated tick management (ITM) interventions.

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.

Machine Learning models trained from real-world data have demonstrated promise in predicting suicide attempts in adolescents. However, their transportability, namely the performance of a model trained on one dataset and applied to different data, is largely unknown, hindering the clinical adoption of these models. Here we developed different machine learning-based suicide prediction models based on real-world data collected in different contexts (inpatient, outpatient, and all encounters) with varying purposes (administrative claims and electronic health records), and compared their cross-data performance. The three datasets used were the All-Payer Claims Database in Connecticut, the Hospital Inpatient Discharge Database in Connecticut, and the Electronic Health Records data provided by the Kansas Health Information Network. We included 285,320 patients among whom we identified 3389 (1.2%) suicide attempters and 66% of the suicide attempters were female. Different machine learning models were evaluated on source datasets where models were trained and then applied to target datasets. More complex models, particularly deep long short-term memory neural network models, did not outperform simpler regularized logistic regression models in terms of both local and transported performance. Transported models exhibited varying performance, showing drops or even improvements compared to their source performance. While they can achieve satisfactory transported performance, they are usually upper-bounded by the best performance of locally developed models, and they can identify additional new cases in target data. Our study uncovers complex transportability patterns and could facilitate the development of suicide prediction models with better performance and generalizability.

BACKGROUND: 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%).
CONCLUSIONS: 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.

The Connecticut Department of Public Health\'s Early Detection and Prevention Program uses an integrated approach to deliver breast and cervical cancer screening services, cardiovascular disease risk assessment, health coaching, and the identification of social determinants of health to women from economically disadvantaged and minority communities. Statewide contracted providers who represent twenty hospitals and their fee-for-service providers employ community health workers (CHWs) to conduct outreach, screening assessments using mobile medical devices, and risk reduction counseling in community settings to reduce service access barriers, while also engaging eligible women who may not typically frequent clinical services. Mobile medical screening devices enhance healthcare accessibility by enabling screenings to be conducted in a participants preferred setting, whether it is a clinic or within the community, with the added benefit of delivering rapid screening results. Utilizing these results, CHWs provide risk reduction counseling to develop individualized health action plans at the outreach session.

Nutrition education and food resource management (FRM) can assist food-insecure individuals in acquiring healthy and affordable food. We aimed to assess the relationships between FRM skills and healthy eating focus with diet quality and health-related behaviors in low-income adults during the COVID-19 pandemic. This cross-sectional study was conducted using an online survey of 276 low-income adults living in a low-food-access community in Northeast Connecticut. Through analysis of covariance, adults who usually or always had a meal plan, considered reading nutrition labels important, made a grocery list, were concerned about their food healthiness, and rated their diet quality as very good/excellent reported higher diet quality (frequency-based and liking-based scores) (p < 0.05 for all). Individuals who considered reading food labels very important and reported having a good diet reported less frequent pandemic-related unhealthy behaviors (consumption of candy and snack chips, soda or sugary drinks, weight gain, smoking) (p < 0.001). Furthermore, higher-frequency-based diet quality was associated with lower risk of overweight or obesity (OR: 0.37; 95% CI: 0.18, 0.76; p-trend < 0.01). Thus, FRM skills and healthy eating focus were associated with higher diet quality and healthier self-reported changes in diet, weight, and smoking behaviors during the pandemic.

HIV pre-exposure prophylaxis (PrEP) is a highly effective biomedical prevention for HIV infections. PrEP persistence is critical to achieving optimal protection against HIV infection. However, little is known about PrEP persistence in the United States. This study utilized the Connecticut All-Payer Claims Database (APCD) to identify PrEP persistence among patients who filled their PrEP prescriptions in the state. The authors identified 1,576 PrEP patients who picked up PrEP prescriptions and extracted medical and pharmacy claims to evaluate a longitudinal cohort during 2012-2018 based on the Connecticut APCD. Patients who did not pick up medication for one consecutive month (ie, 30 days) were defined as discontinuing PrEP. Kaplan-Meier Survival Curve and proportional hazard regression were used to describe PrEP persistence. Of the 1,576 patients who picked up PrEP prescriptions, the median age was 32.0 (interquartile range [IQR]: 22.0-44.0). The majority were male individuals (93%). Of 1,040 patients who discontinued PrEP, 702 (67.5%) restarted PrEP at least once. The median time of PrEP persistence was 3 months (IQR: 1-6 months) for initial PrEP use. The median time on PrEP was also around 3 months in the following episodes of PrEP use. Being female, being on parent\'s insurance, and having high co-pays were associated with shorter periods of PrEP persistence. PrEP persistence was low among patients who picked up PrEP prescriptions. Although many patients restarted PrEP, persistence remained low during follow-up PrEP use and possibly led to periods of increased HIV risk. Effective interventions are needed to improve PrEP persistence and reduce HIV incidence.