Politics, preparedness, or resources Examining state responsiveness to the COVID-19 pandemic.

U.S. states are often the primary decision makers during a public health crisis. The COVID-19 pandemic led to several different reopening processes across states based on their unique characteristics. We analyze whether states' reopening policy decisions were driven by their public health preparedness, resources, COVID-19 impact, or state politics and political culture. To do so, we summarized state characteristics and compared them across three categories of reopening scores in a bivariate analysis using the chi-square or Fisher exact test for the categorical variables and a one-way analysis of variance (ANOVA) for the continuous variables. A cumulative logit model was used to assess the primary research question. A significant factor in a state's reopening decision was the party of the governor, regardless of the party in control of the legislature, state political culture, public health preparedness, cumulative number of deaths per 100,000, and Opportunity Index score.

Racial disparities and treatment trends among young-onset colorectal cancer patients: An analysis of a hospital cancer registry.

BACKGROUND: There is an increasing trend of colorectal cancer (CRC) incidence and mortality in individuals under the age of 50. The impact of age on the outcomes of CRC remains controversial. This study examined the characteristics and treatment trends of young-onset CRC by comparing patients < 50 years of age to those ≥50. METHODS: Data were retrospectively obtained from one of the largest hospital systems in Virginia. The sample included patients diagnosed with CRC from 2008 to 2016. Bivariate analyses were used to describe patients' characteristics. Stratified and multivariate analyses were used to evaluate the association between treatments and age groups in different stages at diagnosis. RESULTS: Approximately 11.6 % (n = 522) of the cohort were younger than 50 years old at diagnosis with a mean age of 42.7 (SD = 5.9) years. Compared to their older counterpart (50 and older), young-onset patients were more likely to be African American (28.7 % (n = 150) vs. 23.7 % (n = 944)), to own private insurance (68.5 % (n = 313) vs. 27.6 % (n = 1032)), to have never used tobacco products (50.4 % (n = 237) vs. 43.8 % (n = 1616)), and to be late stage at diagnosis (68.6 % (n = 358) vs. 52.5 % (n = 2090)) (all p < 0.05). For early stage diagnosis, over 98 % of the young-onset treatments were surgery. For late stage diagnosis, the cancer treatment for young onset patients were a combination of surgery (89.4 %), radiation (82.5 %), and chemotherapy (86.3 %). The results of the analyses also demonstrated that patients with young-onset CRC have higher odds for surgery [OR = 1.76, 95 %CI (1.26, 2.47)], radiation [OR = 1.31, 95 %CI (1.17, 1.47)], and chemotherapy [OR = 3.34, 95 %CI (2.62, 4.25)]. CONCLUSIONS: Findings confirmed late-stage prevalence among young-onset as well as significant demographic differences with patients' age ≥50. This study is one of few to explore the characteristics and assess treatment of young patients with CRC using U.S hospital data. Moreover, further studies need to clarify the effects of biological properties like genetic influences and environmental factors between races on cancer patient outcomes.