Measuring & Mapping Mortality in the Elm City: Identifying and Addressing Health Inequities in New Haven with Years of Potential Life Lost (YPLL) and Other Health Determinants

Population health in the City of New Haven, including health care access, health outcomes, and mortality, is influenced by socioeconomic disparities. These disparities exist on both the individual and neighborhood scale, and across demographics such as age, sex, race, and ethnicity. Continued analyses to understand these disparities is imperative to elucidate public health concerns and to design and to implement appropriate initiatives and interventions. The objectives of this study were as follows: To measure the leading causes of death, average life expectancy, and premature death in New Haven using mortality data and stratifying by key variables including age, sex, race, and ethnicity, and to characterize the relationships between mortality, geographic location, and other demographic variables.https://elischolar.library.yale.edu/ysph_pbchrr/1019/thumbnail.jp

Re-examining COVID-19 Self-Reported Symptom Tracking Programs in the United States: Updated Framework Synthesis

BackgroundEarly in the pandemic, in 2020, Koehlmoos et al completed a framework synthesis of currently available self-reported symptom tracking programs for COVID-19. This framework described relevant programs, partners and affiliates, funding, responses, platform, and intended audience, among other considerations. ObjectiveThis study seeks to update the existing framework with the aim of identifying developments in the landscape and highlighting how programs have adapted to changes in pandemic response. MethodsOur team developed a framework to collate information on current COVID-19 self-reported symptom tracking programs using the “best-fit” framework synthesis approach. All programs from the previous study were included to document changes. New programs were discovered using a Google search for target keywords. The time frame for the search for programs ranged from March 1, 2021, to May 6, 2021. ResultsWe screened 33 programs, of which 8 were included in our final framework synthesis. We identified multiple common data elements, including demographic information such as race, age, gender, and affiliation (all were associated with universities, medical schools, or schools of public health). Dissimilarities included questions regarding vaccination status, vaccine hesitancy, adherence to social distancing, COVID-19 testing, and mental health. ConclusionsAt this time, the future of self-reported symptom tracking for COVID-19 is unclear. Some sources have speculated that COVID-19 may become a yearly occurrence much like the flu, and if so, the data that these programs generate is still valuable. However, it is unclear whether the public will maintain the same level of interest in reporting their symptoms on a regular basis if the prevalence of COVID-19 becomes more common

A cohort study of BMI changes among U.S. Army soldiers during the COVID-19 Pandemic

Abstract Background The increasing number of individuals with obesity is a healthcare concern in the United States (U.S.) population; the men and women who serve in the Army are no exception, with 17.3% of soldiers categorized with a body mass index (BMI) of Obesity in 2017. The COVID-19 pandemic profoundly disrupted life around the globe. During the pandemic, restrictions to soldier movement and activity were put in place to limit COVID-19 transmission. We strive to assess what effects these changes may have had on the BMIs of soldiers. Methods We conducted a retrospective cohort study of active duty U.S. Army soldiers using data from the Military Health System Data Repository. BMI was calculated and categorized before (February 2019 – January 2020) and during the pandemic (September 2020 – June 2021). Women who were pregnant or delivered during and one year prior to the study periods were excluded. Statistical analyses included paired t-tests evaluating mean BMI, percent change, and the Stuart-Maxwell test for marginal homogeneity. Results 191,894 soldiers were included in the cohort. During the pandemic, 50.5% of soldiers in the cohort were classified as Overweight and 23.2% were classified as Obesity. T-test and Stuart-Maxwell test indicated significant differences and changes in BMI categories between the pre-pandemic and pandemic periods, particularly the Obesity category, which experienced a 5% growth and 27% change. Significant absolute changes were observed during the pandemic; 26.7% of soldiers classified as Healthy weight in the pre-pandemic period shifted to Overweight in the pandemic period and 15.6% shifted from Overweight in the pre-pandemic period to Obesity in the pandemic period. Absolute increases were observed across every demographic category in soldiers with obesity; the categories that saw the highest increases were female, ages 20–24, White, and Junior Enlisted soldiers. Conclusions Higher rates of obesity may result in decreased health of the force. The specific needs of younger and Junior Enlisted soldiers need to be further addressed, with focus on special intervention programs by the U.S. Army

A qualitative assessment of Ukraine’s trauma system during the Russian conflict: experiences of volunteer healthcare providers

Abstract Background The Russian Federation’s invasion of Ukraine is characterized by indiscriminate attacks on civilian infrastructure, including hospitals and clinics that have devastated the Ukrainian health system putting trauma care at risk. International healthcare providers responded to the need for help with the increasing numbers of trauma patients. We aimed to describe their experiences during the conflict to explore the gaps in systems and care for trauma patients to refine the Global Trauma System Evaluation Tool (G-TSET) tool. Methods We conducted qualitative key informant interviews of healthcare providers and business and logistics experts who volunteered since February 2022. Respondents were recruited using purposive snow-ball sampling. Semi-structured, in-depth interviews were conducted virtually from January-March 2023 using a modified version of the G-TSET as an interview guide. Interviews were transcribed verbatim and deductive thematic content analysis was conducted using NVivo. Findings We interviewed a total of 26 returned volunteers. Ukraine’s trauma system is outdated for both administrative and trauma response practices. Communication between levels of the patient evacuation process was a recurrent concern which relied on handwritten notes. Patient care was impacted by limited equipment resources, such as ventilators, and improper infection control procedures. Prehospital care was described as highly variable in terms of quality, while others witnessed limited or no prehospital care. The inability to adequately move patients to higher levels of care affected the quality of care. Infection control was a key issue at the hospital level where handwashing was not common. Structured guidelines for trauma response were lacking and lead to a lack of standardization of care and for trauma. Although training was desired, patient loads from the conflict prohibited the ability to participate. Rehabilitation care was stated to be limited. Conclusion Standardizing the trauma care system to include guidelines, better training, improved prehospital care and transportation, and supply of equipment will address the most critical gaps in the trauma system. Rehabilitation services will be necessary as the conflict continues into its second year