A Standard Framework for Evaluating Large Health Care Data and Related Resources.

Since 2000, the availability and use of large health care data and related resources for conducting surveillance, research, and evaluations to guide clinical and public health decision-making has increased rapidly. These trends have been related to transformations in health care information technology and public as well as private-sector efforts for collecting, compiling, and supplying large volumes of data. This growing collection of robust and often timely data has enhanced the capability to increase the knowledge base guiding clinical and public health activities and also has increased the need for effective tools to assess the attributes of these resources and identify the types of scientific questions they are best suited to address. This: MMWR supplement presents a standard framework for evaluating large health care data and related resources, including constructs, criteria, and tools that investigators and evaluators can apply and adapt.

Trends in Racial and Ethnic Disparities in COVID-19 Hospitalizations, by Region - United States, March-December 2020.

Persons from racial and ethnic minority groups are disproportionately affected by COVID-19, including experiencing increased risk for infection (1), hospitalization (2,3), and death (4,5). Using administrative discharge data, CDC assessed monthly trends in the proportion of hospitalized patients with COVID-19 among racial and ethnic groups in the United States during March-December 2020 by U.S. Census region. Cumulative and monthly age-adjusted COVID-19 proportionate hospitalization ratios (aPHRs) were calculated for racial and ethnic minority patients relative to non-Hispanic White patients. Within each of the four U.S. Census regions, the cumulative aPHR was highest for Hispanic or Latino patients (range = 2.7-3.9). Racial and ethnic disparities in COVID-19 hospitalization were largest during May-July 2020; the peak monthly aPHR among Hispanic or Latino patients was >9.0 in the West and Midwest, >6.0 in the South, and >3.0 in the Northeast. The aPHRs declined for most racial and ethnic groups during July-November 2020 but increased for some racial and ethnic groups in some regions during December. Disparities in COVID-19 hospitalization by race/ethnicity varied by region and became less pronounced over the course of the pandemic, as COVID-19 hospitalizations increased among non-Hispanic White persons. Identification of specific social determinants of health that contribute to geographic and temporal differences in racial and ethnic disparities at the local level can help guide tailored public health prevention strategies and equitable allocation of resources, including COVID-19 vaccination, to address COVID-19-related health disparities and can inform approaches to achieve greater health equity during future public health threats.

Coronavirus Disease 2019 Case Surveillance - United States, January 22-May 30, 2020.

The coronavirus disease 2019 (COVID-19) pandemic resulted in 5,817,385 reported cases and 362,705 deaths worldwide through May, 30, 2020,† including 1,761,503 aggregated reported cases and 103,700 deaths in the United States.§ Previous analyses during February-early April 2020 indicated that age ≥65 years and underlying health conditions were associated with a higher risk for severe outcomes, which were less common among children aged <18 years (1-3). This report describes demographic characteristics, underlying health conditions, symptoms, and outcomes among 1,320,488 laboratory-confirmed COVID-19 cases individually reported to CDC during January 22-May 30, 2020. Cumulative incidence, 403.6 cases per 100,000 persons,¶ was similar among males (401.1) and females (406.0) and highest among persons aged ≥80 years (902.0). Among 599,636 (45%) cases with known information, 33% of persons were Hispanic or Latino of any race (Hispanic), 22% were non-Hispanic black (black), and 1.3% were non-Hispanic American Indian or Alaska Native (AI/AN). Among 287,320 (22%) cases with sufficient data on underlying health conditions, the most common were cardiovascular disease (32%), diabetes (30%), and chronic lung disease (18%). Overall, 184,673 (14%) patients were hospitalized, 29,837 (2%) were admitted to an intensive care unit (ICU), and 71,116 (5%) died. Hospitalizations were six times higher among patients with a reported underlying condition (45.4%) than those without reported underlying conditions (7.6%). Deaths were 12 times higher among patients with reported underlying conditions (19.5%) compared with those without reported underlying conditions (1.6%). The COVID-19 pandemic continues to be severe, particularly in certain population groups. These preliminary findings underscore the need to build on current efforts to collect and analyze case data, especially among those with underlying health conditions. These data are used to monitor trends in COVID-19 illness, identify and respond to localized incidence increase, and inform policies and practices designed to reduce transmission in the United States.

Four Decades after War: Incident Diabetes among Women Vietnam-Era Veterans in the HealthViEWS Study.

OBJECTIVES: We analyzed long-term differences in incident diabetes associated with military service in a warzone among women who served during the Vietnam War era. METHODS: For HealthViEWS, the largest later-life study of women Vietnam War-era U.S. veterans, a population-based retrospective cohort who served during 1965-1973 completed a health interview in 2011-2012. This cohort included women deployed to Vietnam, near Vietnam, or who served primarily in the United States. We hypothesized a warzone exposure gradient: Vietnam (highest exposure), near Vietnam, and the United States (lowest exposure). We used an extended Cox regression to test for differences in incident diabetes by location of wartime service. RESULTS: Of 4,503 women in the analysis, 17.7% developed diabetes. Adjusting for demographics and military service characteristics, hazard of incident diabetes was significantly lower initially in the Vietnam group compared with the U.S. group (hazard ratio, 0.33; 95% confidence interval, 0.15-0.69). However, lower diabetes hazard in the Vietnam group was not constant over time; rather, hazard accumulated faster over time in the Vietnam group compared with the U.S. group (hazard ratio, 1.38; 95% confidence interval, 1.11-1.72). No significant difference in diabetes hazard was found between the near Vietnam and U.S. groups. Older age during military service, minority race/ethnicity, and lower military rank were associated with a higher diabetes hazard. CONCLUSIONS: Women deployed to a warzone might have protective health factors that lower risk for diabetes early in their military career, but delivery systems for long-term health should consider that a lower risk for chronic diseases like diabetes can wane quickly in the decades that follow warzone service.

Asthma prevalence among Hispanic adults in Puerto Rico and Hispanic adults of Puerto Rican descent in the United States - results from two national surveys.

UNLABELLED: Abstract Objective: To assess whether asthma prevalence differs between Hispanic adults living in Puerto Rico and Hispanic adults of Puerto Rican descent living in the United States. METHODS: We used 2008-2010 Behavioral Risk Factor Surveillance System data, administered in Puerto Rico for Hispanic adults living in Puerto Rico (Hispanics in Puerto Rico), and 2008-2010 National Health Interview Survey data for Hispanic adults of Puerto Rican descent living in the United States (Puerto Rican Americans). We used 95% confidence intervals (CIs) to compare asthma prevalence between corresponding subgroups; non-overlapping CIs indicate statistical significance. Chi-square test and multivariate logistic regression were used to assess the association between current asthma status and socio-demographic factors and health risk behaviors within each Puerto Rican population. RESULTS: Current asthma prevalence among Hispanics in Puerto Rico (7.0% [6.4%-7.7%]) was significantly lower than the prevalence among Puerto Rican Americans (15.6% [13.0%-18.1%]). The prevalence among almost all socio-demographic and health risk subgroups of Hispanics in Puerto Rico was significantly lower than the prevalence among the corresponding subgroups of Puerto Rican Americans. Adjusting for potential confounders did not alter the results. Asthma prevalence was significantly associated with obesity among Puerto Rican Americans (adjusted prevalence ratios [aPR]=1.5 [1.1-2.0]), and among Hispanics in Puerto Rico was associated with obesity (aPR=1.6 [1.3-1.9]), smoking (aPR=1.4 [1.1-1.9]) and being female (aPR=1.9 [1.5-2.4]). CONCLUSION: Asthma was more prevalent among Puerto Rican Americans than Hispanics in Puerto Rico. Although the observed associations did not explain all variations in asthma prevalence between these two populations, they may lay the foundation for future research.