Background: The reported disproportionate impact of COVID-19 infections on minority populations may be due to living in disinvested communities with a high level of poverty, pollution, inadequate unsafe employment, and overcrowded housing. Objective: To determine the association of county, city, and individual risk factors with COVID-19 infection rates. Methods: Retrospective chart review on COVID-19 tests performed from March through July 2020 at Arrowhead Regional Medical Center (ARMC), Colton, California. Results: A total of 7104 tests were performed with 69% in the drive-through testing center. The mean duration of test-to-results time was 2.36 (+0.02) days. COVID-19 positive tests occurred in 1095 (15.4%). At least one symptom occurred in 414 (33%) with a sensitivity of 37.8, specificity of 86.02, a positive predictive value of 33.01, and a negative predictive value of 72.76. Individual factors significantly associated with testing positive for COVID-19 were diabetes, Hispanic ethnicity, and male gender. Younger age was significantly associated with testing COVID positive with the highest risk in children <10 years. COVID-19 positive persons significantly resided in cities with higher population density, household members, poverty, non-English speaking homes, disability, lower median household income, lack of health insurance and decreased access to a computer and Wi-Fi services. County health rankings showed a significant positive association between testing positive for COVID-19 with increased smoking, air pollution, violent crimes, physical inactivity, decreased education, and access to exercise. Conclusion: Adverse county health rankings, socially and economically disadvantaged cities are associated with an increased risk of testing positive for COVD-19. This information can be used in strategic planning and invention mitigation.
Academic healthcare workforce diversity is important in addressing health disparities. Our goal was to evaluate trends and associations in faculty diversity of United States (US) medical schools over a five-year period. MethodsWe analyzed the Association of American Medical Colleges (AAMC) Faculty Roster data of 151 US medical schools from 2014-2018. Outcome faculty variables were female gender, underrepresented in medicine (UiM), age, and professorial representation. Predictor variables included geographical distributions, and institutional characteristics. Statistical analysis included Jonckheere-Terpstra test, ANOVA, and regression analysis. ResultsFemale faculty increased from 37.6% to 40.4% (p<0.001), senior faculty (age >60 years) from 22.6% to 25.9% (p=0.001) while UiM faculty stayed relatively flat from 9.74% to 10.08% (p=0.773). UiM [adjusted odds ratio (aOR) = 0.39, p=0.015], and female faculty (aOR=0.3, p=0.001) had independently significantly decreased associations with professorial representation, while senior faculty had increased associations (aOR=3.82, p<0.001). Significant independent differences occurred in female, UiM, and professorial faculty distributions within US regions; Hispanic faculty were highest in Southwest (6.57%) and lowest in Midwest region (1.59%), while African-American faculty were highest in Southeast (8.15%) but lowest in the West (3.12%). UiM faculty had significantly independent decreased associations with MD/PhD degree (aOR=0.30, p=0.004) and higher US ranking institutions (aOR=0.45, p=0.009). ConclusionsFrom 2014 to 2018, female faculty increased modestly while the UiM faculty trend remained flat. Female and UiM faculty were less represented at the professor level. UiM faculty were less represented in higher-ranking institutions. Geographic location is associated with faculty diversity.
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