About 1.5 million community-dwelling US adults with active epilepsy reported uncontrolled seizures in the past 12 months, and seizure control varied by annual family income-National Health Interview Survey, United States 2021 and 2022.

Uncontrolled seizures among people with epilepsy increase risk of adverse health and social outcomes including increased risk of death. Previous population-based studies have reported suboptimal seizure control and disparities in seizure control among U.S. adults with active epilepsy (self-reported doctor-diagnosed epilepsy and taking anti-seizure medicine or with ≥ 1 seizures in the past 12 months) by annual family income. This brief is based upon data from the 2021 and 2022 National Health Interview Survey (NHIS) to provide updated national estimates of the percentages of adults with active epilepsy with and without seizure control (0 seizures in past 12 months) vs. ≥ 1) by anti-seizure medication use and by annual family income. Annual family income was operationalized with NHIS poverty-income ratio (PIR) categories (i.e., total family income divided by the US Census Bureau poverty threshold given the family's size and number of children): PIR < 1.0, 1.0 ≤ PIR < 2.0; PIR ≥ 2.0. Among the 1.1 % of US adults with active epilepsy in 2021/2022 (estimated population about 2.9 million), 49.2 % (∼1.4 million) were taking antiseizure medication and reported no seizures (seizure control), 36.2 % (∼1.1 million) were taking antiseizure medication and reported ≥ 1 seizures (uncontrolled seizures), and 14.7 % (∼400,000) were not taking antiseizure medication and had ≥ 1 seizures (uncontrolled seizures). The prevalence of seizure control among those with active epilepsy varied substantially by annual family income, with a larger percentage of adults with PIR ≥ 2.0 reporting seizure control compared with those with PIR < 1.0. Opportunities for intervention include improving provider awareness of epilepsy treatment guidelines, enhancing access and referral to specialty care, providing epilepsy self-management supports, and addressing unmet social needs of people with epilepsy with uncontrolled seizures, especially those at lowest family income levels.

Mortality and mortality disparities among people with epilepsy in the United States, 2011-2021.

Studies on epilepsy mortality in the United States are limited. We used the National Vital Statistics System Multiple Cause of Death data to investigate mortality rates and trends during 2011-2021 for epilepsy (defined by the International Classification of Diseases, 10th Revision, codes G40.0-G40.9) as an underlying, contributing, or any cause of death (i.e., either an underlying or contributing cause) for U.S. residents. We also examined epilepsy as an underlying or contributing cause of death by selected sociodemographic characteristics to assess mortality rate changes and disparities in subpopulations. During 2011-2021, the overall age-standardized mortality rates for epilepsy as an underlying (39 % of all deaths) or contributing (61 % of all deaths) cause of death increased 83.6 % (from 2.9 per million to 6.4 per million population) as underlying cause and 144.1 % (from 3.3 per million to 11.0 per million population) as contributing cause (P < 0.001 for both based on annual percent changes). Compared to 2011-2015, in 2016-2020 mortality rates with epilepsy as an underlying or contributing cause of death were higher overall and in nearly all subgroups. Overall, mortality rates with epilepsy as an underlying or contributing cause of death were higher in older age groups, among males than females, among non-Hispanic Black or non-Hispanic American Indian/Alaska Native persons than non-Hispanic White persons, among those living in the West and Midwest than those living in the Northeast, and in nonmetro counties compared to urban regions. Results identify priority subgroups for intervention to reduce mortality in people with epilepsy and eliminate mortality disparity.

Chronic Disease Indicators: 2022-2024 Refresh and Modernization of the Web Tool.

Easy access and display of state-level estimates of the prevalence of chronic diseases and their risk factors can guide evidence-based decision-making, policy development, and tailored efforts to improve population health outcomes; however, these estimates are often presented across multiple websites and reports. The Chronic Disease Indicators (CDI) web tool (www.cdc.gov/cdi) disseminates state-level data compiled from various data sources, including surveys, vital records, and administrative data, and applies standardized definitions to estimate and track a wide range of key indicators of chronic diseases and their risk factors. In 2022-2024, the indicators were refreshed to include 113 measures across 21 topic areas, and the web tool was modernized to enhance its key features and functionalities, including standardized indicator definitions; interactive charts, graphs, and maps that present data in a visually appealing format; an easy-to-use web-based interface for users to query and extract the data they need; and state comparison reports to identify geographic variations in disease and risk factor prevalence. National and state-level estimates are provided for the overall population and, where applicable, by sex, race and ethnicity, and age. We review the history of CDIs, describe the 2022-2024 refresh process, and explore the interactive features of the CDI web tool with the goal of demonstrating how practitioners, policymakers, and other users can easily examine and track a wide range of key indicators of chronic diseases and their risk factors to support state-level public health action.

Risk of Chronic Obstructive Pulmonary Disease and Receipt of a Breathing Test in 26 States and the District of Columbia, 2017-2018.

We estimated the prevalence of respiratory symptoms, chronic obstructive pulmonary disease (COPD) risk level, and receipt of a breathing test among adults without reported COPD in 26 states and the District of Columbia by using 2017-2018 Behavioral Risk Factor Surveillance System data. Among adults without reported COPD, the 3 respiratory symptoms indicating COPD (chronic cough, phlegm or mucus production, shortness of breath) were common (each >10%). About 15.0% were at higher COPD risk (based on the number of symptoms, age, and smoking status); 41.4% of adults at higher risk reported receipt of a breathing test. Patient-provider recognition and communication of risk symptoms, appropriate screening, and follow-up are important for early diagnosis and treatment.

The association of trauma with self-reported flares and disease activity in systemic lupus erythematosus (SLE).

OBJECTIVES: Trauma has been linked to incident SLE, but its relationship with SLE disease activity is unknown. This analysis examines associations between trauma exposures and patient-reported SLE disease activity and flares. METHODS: Data were from the California Lupus Epidemiology Study (CLUES). Flares were self-reported as any flare and, of those, flares accompanied by medical care (hospitalization or physician contact). The Systemic Lupus Activity Questionnaire (SLAQ) assessed disease activity. The Brief Trauma Questionnaire (BTQ) assessed all historical trauma exposures. The Adverse Childhood Experiences (ACEs) questionnaire was available for a subset. Multivariable regression analyses (n = 252) examined whether trauma exposure was associated with flares or SLAQ controlling for age, sex, poverty, race/ethnicity, comorbidities, perceived stress, disease duration and self-reported disease damage. RESULTS: Excluding exposure to serious illness, 63.4% reported ≥1 trauma exposure. Any traumatic event, excluding illness, doubled the odds of a flare [OR 2.27 (95% CI 1.24, 4.17)] and was associated with significantly higher SLAQ scores [ß 2.31 (0.86, 3.76)]. Adjusted odds of any flare and flare with medical care were significantly elevated for those with both BTQ and ACE exposures [5.91 (2.21, 15.82) and 4.69 (1.56, 14.07), respectively]. SLAQ scores were also higher for those with both exposures [ß 5.22 (3.00, 7.44)]. CONCLUSION: In this cohort, those with a history of trauma reported more flares and greater disease activity. Identifying mechanisms of associations between trauma and disease activity and flares, as well as interventions to mitigate the effects of trauma exposures is critical, given the high rates of trauma exposures.

Multimorbidity in systemic lupus erythematosus in a population-based cohort: the lupus Midwest network.

OBJECTIVES: To assess the prevalence and incidence of multimorbidity and the association with the SLICC/ACR damage index (SDI) among patients with systemic lupus erythematosus (SLE). METHODS: Using prevalent and incident population-based cohorts of patients with SLE and their matched comparators, we assessed 57 chronic conditions. Chronic conditions were categorized as SDI-related or SDI-unrelated. Multimorbidity was defined as the presence of 2+ chronic conditions. Multimorbidity at prevalence and incidence/index was compared between cohorts using logistic regression. Cox models were used to examine development of multimorbidity after SLE incidence. RESULTS: The prevalent cohort included 449 patients with established SLE on January 1, 2015. They were three times more likely to have multimorbidity compared with non-SLE comparators (OR 2.98, 95% CI 2.18-4.11). The incident cohort included 270 patients with new-onset SLE. At SLE incidence, patients with SLE were more likely to have multimorbidity than comparators (OR 2.27, 95% CI 1.59-3.27). After incidence, the risk of developing multimorbidity was 2-fold higher among patients with SLE than comparators (hazard ratio (HR) 2.11, 95% CI 1.59-2.80). Development of multimorbidity was higher in patients with SLE based on SDI-related (HR 2.91, 95% CI 2.17-3.88) and SDI-unrelated conditions (HR 1.73, 95% CI, 1.32-2.26). CONCLUSION: Patients with SLE have a higher burden of multimorbidity, even before the onset of the disease. The risk disparity continues after SLE classification and is also seen in a prevalent SLE cohort. Multimorbidity is driven both by SDI-related and unrelated conditions.

Medication Cost Concerns and Disparities in Patient-Reported Outcomes Among a Multiethnic Cohort of Patients With Systemic Lupus Erythematosus.

OBJECTIVE: Concerns about the affordability of medications are common in systemic lupus erythematosus (SLE), but the relationship between medication cost concerns and health outcomes is poorly understood. We assessed the association of self-reported medication cost concerns and patient-reported outcomes (PROs) in a multiethnic SLE cohort. METHODS: The California Lupus Epidemiology Study is a cohort of individuals with physician-confirmed SLE. Medication cost concerns were defined as having difficulties affording SLE medications, skipping doses, delaying refills, requesting lower-cost alternatives, purchasing medications outside the United States, or applying for patient assistance programs. Linear regression and mixed effects models assessed the cross-sectional and longitudinal association of medication cost concerns and PROs, respectively, adjusting for age, sex, race and ethnicity, income, principal insurance, immunomodulatory medications, and organ damage. RESULTS: Of 334 participants, medication cost concerns were reported by 91 (27%). Medication cost concerns were associated with worse Systemic Lupus Activity Questionnaire (SLAQ; beta coefficient [ß] 5.9, 95% CI 4.3-7.6; P < 0.001), 8-item Patient Health Questionnaire depression scale (PHQ-8; ß 2.7, 95% CI 1.4-4.0; P < 0.001), and Patient-Reported Outcomes Measurement Information System (PROMIS; ß for physical function -4.6, 95% CI -6.7 to -2.4; P < 0.001) scores after adjusting for covariates. Medication cost concerns were not associated with significant changes in PROs over 2-year follow-up. CONCLUSION: More than a quarter of participants reported at least 1 medication cost concern, which was associated with worse PROs. Our results reveal a potentially modifiable risk factor for poor outcomes rooted in the unaffordability of SLE care.

Trends in the Prevalence of Chronic Obstructive Pulmonary Disease Among Adults Aged ≥18 Years - United States, 2011-2021.

Chronic obstructive pulmonary disease (COPD) is a leading cause of death in the United States. Overall COPD prevalence declined during 1999-2011. Trends in COPD prevalence during the previous decade have not been reported. CDC analyzed 2011-2021 Behavioral Risk Factor Surveillance System data to assess trends and differences in self-reported physician-diagnosed COPD prevalence among U.S. adults aged ≥18 years. Age-standardized prevalence of COPD did not change significantly from 2011 (6.1%) to 2021 (6.0%). Prevalence was stable for most states and subgroups; however, it decreased significantly among adults aged 18-44 years (average annual percent change [AAPC] = -2.0%) and increased significantly among those aged ≥75 years (AAPC = 1.3%), those living in micropolitan counties (0.8%), and among current (1.5%) or former (1.2%) smokers. COPD prevalence remained elevated in the following groups: women, adults aged ≥65 years, those with a lower education level, unable to work, living in rural areas, and who ever smoked. Evidence-based strategies, especially those tailored for adults disproportionately affected, can reduce COPD prevalence, and address the continued need for prevention, early diagnosis, treatment, and management.

National, State-Level, and County-Level Prevalence Estimates of Adults Aged ≥18 Years Self-Reporting a Lifetime Diagnosis of Depression - United States, 2020.

Depression is a major contributor to mortality, morbidity, disability, and economic costs in the United States (1). Examining the geographic distribution of depression at the state and county levels can help guide state- and local-level efforts to prevent, treat, and manage depression. CDC analyzed 2020 Behavioral Risk Factor Surveillance System (BRFSS) data to estimate the national, state-level, and county-level prevalence of U.S. adults aged ≥18 years self-reporting a lifetime diagnosis of depression (referred to as depression). During 2020, the age-standardized prevalence of depression among adults was 18.5%. Among states, the age-standardized prevalence of depression ranged from 12.7% to 27.5% (median = 19.9%); most of the states with the highest prevalence were in the Appalachian* and southern Mississippi Valley† regions. Among 3,143 counties, the model-based age-standardized prevalence of depression ranged from 10.7% to 31.9% (median = 21.8%); most of the counties with the highest prevalence were in the Appalachian region, the southern Mississippi Valley region, and Missouri, Oklahoma, and Washington. These data can help decision-makers prioritize health planning and interventions in areas with the largest gaps or inequities, which could include implementation of evidence-based interventions and practices such as those recommended by The Guide to Community Preventive Services Task Force (CPSTF) and the Substance Abuse and Mental Health Services Administration (SAMHSA).

COVID-19 vaccination status and related process of care outcomes among U.S. adults with active epilepsy-National Health Interview Survey, United States, 2021.

Growing research has examined the effects of the COVID-19 pandemic on people with epilepsy. There are no published national estimates of COVID-19 vaccination status among U.S. adults with active epilepsy. The purpose of this study is to use 2021 National Health Interview Survey (NHIS) data to examine select COVID-19-related outcomes by epilepsy status in a nationally representative sample of US adults. The study sample met the criteria for operationalization of epilepsy status (i.e., active epilepsy vs. no epilepsy history) and select questions related to COVID-19 testing, vaccination, delays in care, or experience with virtual care during the COVID-19 pandemic. All analyses accounted for the NHIS complex sample design and response sampling weights. Our study found that in 2021 receipt of one COVID-19 vaccination among U.S. adults with active epilepsy was generally similar to that among adults without a history of epilepsy. By age, adults aged 18-44 years with active epilepsy (27.0%) were significantly less likely to have reported receiving two COVID-19 vaccinations compared with their peers with no epilepsy history (39.1%). Compared to adults with no epilepsy history, adults with active epilepsy reported similar experiences and outcomes regarding COVID-19 testing and obtaining health care during the COVID-19 pandemic. This study provides baseline estimates of select COVID-19 outcomes among US adults with active epilepsy to guide interventions and additional studies.

Linking Local-Level Chronic Disease and Social Vulnerability Measures to Inform Planning Efforts: A COPD Example.

INTRODUCTION: Data are publicly available to identify geographic differences in health outcomes, including chronic obstructive pulmonary disease (COPD), and social vulnerability; however, examples of combining data across sources to understand disease burden in the context of community vulnerability are lacking. METHODS: We merged county and census tract model-based estimates of COPD prevalence from PLACES (www.cdc.gov/PLACES) with social vulnerability measures from the Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry Social Vulnerability Index (https://www.atsdr.cdc.gov/placeandhealth/svi), including 4 themes (socioeconomic, household composition and disability, minority status and language, and housing type and transportation), and the overall Social Vulnerability Index (SVI). We used the merged data set to create vulnerability profiles by COPD prevalence, explore joint geographic patterns, and calculate COPD population estimates by vulnerability levels. RESULTS: Counties and census tracts with high COPD prevalence (quartile 4) had high median vulnerability rankings (range: 0-1) for 2 themes: socioeconomic (county, 0.81; tract, 0.77) and household composition and disability (county, 0.75; tract, 0.81). Concordant high COPD prevalence and vulnerability for these themes were clustered along the Ohio and lower Mississippi rivers. The estimated number of adults with COPD residing in counties with high vulnerability was 2.5 million (tract: 4.7 million) for the socioeconomic theme and 2.3 million (tract: 5.0 million) for the household composition and disability theme (high overall SVI: county, 4.5 million; tract, 4.7 million). CONCLUSION: Data from 2 publicly available tools can be combined, analyzed, and visualized to jointly examine local COPD estimates and social vulnerability. These analyses can be replicated with other measures to expand the use of these cross-cutting tools for public health planning.

Prevalence and Geographic Patterns of Self-Reported Short Sleep Duration Among US Adults, 2020.

We estimated the prevalence of short sleep duration (<7 hours per day) among US adults aged 18 years or older by using 2020 Behavioral Risk Factor Surveillance System data. Nationally, 33.2% of adults reported short sleep duration. We identified disparities across sociodemographic characteristics, including age, sex, race and ethnicity, marital status, education, income, and urbanicity. Counties with the highest model-based estimates of short sleep duration clustered in the Southeast and along the Appalachian Mountains. These findings identified subgroups and geographic areas in which tailored strategies for promotion of optimal sleep duration (≥7 hours per night) are most needed.

County-Level Geographic Disparities in Disabilities Among US Adults, 2018.

INTRODUCTION: Local data are increasingly needed for public health practice. County-level data on disabilities can be a valuable complement to existing estimates of disabilities. The objective of this study was to describe the county-level prevalence of disabilities among US adults and identify geographic clusters of counties with a higher or lower prevalence of disabilities. METHODS: We applied a multilevel logistic regression and poststratification approach to geocoded 2018 Behavioral Risk Factor Surveillance System data, Census 2018 county-level population estimates, and American Community Survey 2014-2018 poverty estimates to generate county-level estimates for 6 functional disabilities and any disability type. We used cluster-outlier spatial statistical methods to identify clustered counties. RESULTS: Among 3,142 counties, median estimated prevalence was 29.5% for any disability and differed by type: hearing (8.0%), vision (4.9%), cognition (11.5%), mobility (14.9%), self-care (3.7%), and independent living (7.2%). The spatial autocorrelation statistic, Moran's I, was 0.70 for any disability and 0.60 or greater for all 6 types of disability, indicating that disabilities were highly clustered at the county level. We observed similar spatial cluster patterns in all disability types except hearing disability. CONCLUSION: The results suggest substantial differences in disability prevalence across US counties. These data, heretofore unavailable from a health survey, may help with planning programs at the county level to improve the quality of life for people with disabilities.

Health Care Utilization in Systemic Lupus Erythematosus in the Community: The Lupus Midwest Network.

OBJECTIVE: The aim of this study was to determine inpatient health care utilization in an incident cohort of patients with systemic lupus erythematosus (SLE) compared with the general population. METHODS: This was a population-based cohort study in the upper Midwest, United States. We included patients fulfilling the European League Against Rheumatism/American College of Rheumatology SLE classification criteria between 1995 and 2018. They were 1:1 age-, sex-, county-matched with individuals without SLE. All hospital admissions and emergency department (ED) visits were electronically retrieved for 1995-2020. Rates for hospital admission, length of stay, readmission, ED visits, and discharge destination were compared between groups. RESULTS: Three hundred forty-one patients with SLE and 341 comparators without SLE were included (mean age, 48.6 years at diagnosis; 79.2% female). Rates of hospitalization for patients with SLE and comparators were 29.8 and 9.9 per 100 person-years, respectively. These differences were present across sexes and age groups. Hospitalization rates were higher in patients with SLE after diagnosis and remained higher than comparators for the first 15 years of the disease. Patients with SLE were more likely than comparators to visit the ED (hazard ratio, 2.71; 95% confidence interval, 2.05-3.59). Readmission rates (32% vs. 21%, p = 0.017) were higher in patients with SLE. Length of stay and discharge destination were similar between both groups. CONCLUSION: Patients with SLE were more likely to be hospitalized and to visit the ED than individuals without SLE, highlighting important inpatient care needs. Increased hospitalization rates were observed in both male and female patients and all age groups.

Barriers to and Disparities in Access to Health Care Among Adults Aged ≥18 Years with Epilepsy - United States, 2015 and 2017.

Approximately 3 million U.S. adults have active epilepsy (i.e., self-reported doctor-diagnosed history of epilepsy and currently taking epilepsy medication or have had at least one seizure in the past year, or both) (1). One of the most common brain disorders, epilepsy poses a number of challenges for people living with this condition because its treatment can be complex, daily management might be inadequate to achieve seizure control, it limits social participation, and epilepsy is associated with early mortality.† Previous studies indicate that persons with epilepsy are more likely to experience barriers or delays in receipt of certain types of care, including epilepsy specialty care, and that these delays are often associated with individual factors (e.g., seizure type) or social determinants of health (e.g., household income or provider availability) (2-4). To obtain updated estimates of access to health care among U.S. adults aged ≥18 years by epilepsy status, CDC analyzed pooled data from the 2015 and 2017 National Health Interview Survey (NHIS), the most recent years with available epilepsy data. Age-adjusted analyses comparing adults with active epilepsy or inactive epilepsy (i.e., self-reported doctor-diagnosed epilepsy but not currently taking medication for epilepsy and have had no seizure in the past year) with adults without epilepsy indicated that adults with active or inactive epilepsy were more likely to have Medicaid or other public insurance coverage and to report an inability to afford prescription medicine, specialty care, or vision or dental care. Adults with active or inactive epilepsy were more likely to take less medication than prescribed to save money, to be in families having problems paying medical bills, and to report delaying care because of insufficient transportation. Enhancing linkages between clinical and community programs and services by public health practitioners and epilepsy health and social service providers can address gaps in access to health care.

Geographic Differences in Sex-Specific Chronic Obstructive Pulmonary Disease Mortality Rate Trends Among Adults Aged ≥25 Years - United States, 1999-2019.

Chronic obstructive pulmonary disease (COPD) accounts for the majority of deaths from chronic lower respiratory diseases, the fourth leading cause of death in the United States in 2019.* COPD mortality rates are decreasing overall. Although rates in men remain higher than those in women, declines have occurred among men but not women (1). To examine the geographic variation in sex-specific trends in age-adjusted COPD mortality rates among adults aged ≥25 years, CDC analyzed 1999-2019 death certificate data, by urban-rural status,† U.S. Census Bureau region,§ and state. Among women, no significant change in overall COPD mortality occurred during this period; however, rates increased significantly in small metropolitan (average annual percent change [AAPC] = 0.6%), micropolitan (1.2%), and noncore (1.9%) areas and in the Midwest (0.6%). Rates decreased significantly in large central (-0.9%) and fringe metropolitan (-0.4%) areas (and in the Northeast (-0.5%) and West (-1.2%). Among men, rates decreased significantly overall (-1.3%), in all urban-rural areas (range = -1.9% [large central metropolitan] to -0.4% [noncore]) and in all regions (range = -2.0% [West] to -0.9% [Midwest]). Strategies to improve the prevention, treatment, and management of COPD are needed, especially to address geographic differences and improve the trend in women, to reduce COPD deaths.

Chronic Conditions Among Adults Aged 18─34 Years - United States, 2019.

Chronic conditions are common, costly, and major causes of death and disability.* Addressing chronic conditions and their determinants in young adulthood can help slow disease progression and improve well-being across the life course (1); however, recent prevalence estimates examining chronic conditions in young adults overall and by subgroup have not been reported. CDC analyzed data from the Behavioral Risk Factor Surveillance System (BRFSS) to measure prevalence of 11 chronic conditions among adults aged 18-34 years overall and by selected characteristics, and to measure prevalence of health-related risk behaviors by chronic condition status. In 2019, more than one half (53.8%) of adults aged 18-34 years reported having at least one chronic condition, and nearly one quarter (22.3%) reported having more than one chronic condition. The most prevalent conditions were obesity (25.5%), depression (21.3%), and high blood pressure (10.7%). Differences in the prevalence of having a chronic condition were most noticeable between young adults with a disability (75.8%) and without a disability (48.3%) and those who were unemployed (62.3%) and students (45.8%). Adults aged 18-34 years with a chronic condition were more likely than those without one to report binge drinking, smoking, or physical inactivity. Coordinated efforts by public and private sectors might help raise awareness of chronic conditions among young adults and help improve the availability of evidence-based interventions, policies, and programs that are effective in preventing, treating, and managing chronic conditions among young adults (1).

Urban-Rural Differences in Health Care Utilization for Inflammatory Bowel Disease in the USA, 2017.

BACKGROUND: Urban-rural differences in IBD-specific health care utilization at the national level have not been examined in the USA. AIMS: We compared urban and rural rates of IBD-related office visits and IBD-specific (Crohn's disease (CD) or ulcerative colitis (UC)) hospitalizations and emergency department (ED) visits. METHODS: From multiple national data sources, we compared national rates using Z test and compared estimates of patient and hospital characteristics and hospitalization outcomes between urban and rural areas using Chi-square and t tests. RESULTS: In 2015 and 2016, digestive disease-related office visit rates, per 100 adults, were 3.1 times higher in urban than in rural areas (8.7 vs 2.8, P < 0.001). In 2017, age-adjusted rates per 100,000 adults were significantly higher in rural than urban areas for CD-specific hospitalizations (26.3 vs 23.6, P = 0.03) and ED visits (49.3 vs 39.5, P = 0.002). Compared with their urban counterparts, rural adults hospitalized for CD or UC in 2017 were more likely to be older and non-Hispanic white, have lower household income, Medicare coverage, and an elective admission, and were discharged from hospitals that were large, non-federal government owned, and in the Midwest or South. There were no significant urban-rural differences in length of stay and 30-day readmission rate. CONCLUSIONS: While IBD or digestive disease-related office visit rates were lower in rural compared to urban areas, CD-specific hospitalization and ED visit rates were higher. Strategies that improve office-based care among rural patients with IBD may help to avoid more costly forms of health care use.

PLACES: Local Data for Better Health.

Local-level data on the health of populations are important to inform and drive effective and efficient actions to improve health, but such data are often expensive to collect and thus rare. Population Level Analysis and Community EStimates (PLACES) (www.cdc.gov/places/), a collaboration between the Centers for Disease Control and Prevention (CDC), the Robert Wood Johnson Foundation, and the CDC Foundation, provides model-based estimates for 29 measures among all counties and most incorporated and census-designated places, census tracts, and ZIP Code tabulation areas across the US. PLACES allows local health departments and others to better understand the burden and geographic distribution of chronic disease-related outcomes in their areas regardless of population size and urban-rural status and assists them in planning public health interventions. Online resources allow users to visually explore health estimates geographically, compare estimates, and download data for further use and exploration. By understanding the PLACES overall approach and using the easy-to-use PLACES applications, practitioners, policy makers, and others can enhance their efforts to improve public health, including informing prevention activities, programs, and policies; identifying priority health risk behaviors for action; prioritizing investments to areas with the biggest gaps or inequities; and establishing key health objectives to achieve community health and health equity.

Risk Factors for Coronavirus Disease 2019 (COVID-19)-Associated Hospitalization: COVID-19-Associated Hospitalization Surveillance Network and Behavioral Risk Factor Surveillance System.

BACKGROUND: Data on risk factors for coronavirus disease 2019 (COVID-19)-associated hospitalization are needed to guide prevention efforts and clinical care. We sought to identify factors independently associated with COVID-19-associated hospitalizations. METHODS: Community-dwelling adults (aged ≥18 years) in the United States hospitalized with laboratory-confirmed COVID-19 during 1 March-23 June 2020 were identified from the COVID-19-Associated Hospitalization Surveillance Network (COVID-NET), a multistate surveillance system. To calculate hospitalization rates by age, sex, and race/ethnicity strata, COVID-NET data served as the numerator and Behavioral Risk Factor Surveillance System estimates served as the population denominator for characteristics of interest. Underlying medical conditions examined included hypertension, coronary artery disease, history of stroke, diabetes, obesity, severe obesity, chronic kidney disease, asthma, and chronic obstructive pulmonary disease. Generalized Poisson regression models were used to calculate adjusted rate ratios (aRRs) for hospitalization. RESULTS: Among 5416 adults, hospitalization rates (all reported as aRR [95% confidence interval]) were higher among those with ≥3 underlying conditions (vs without) (5.0 [3.9-6.3]), severe obesity (4.4 [3.4-5.7]), chronic kidney disease (4.0 [3.0-5.2]), diabetes (3.2 [2.5-4.1]), obesity (2.9 [2.3-3.5]), hypertension (2.8 [2.3-3.4]), and asthma (1.4 [1.1-1.7]), after adjusting for age, sex, and race/ethnicity. Adjusting for the presence of an individual underlying medical condition, higher hospitalization rates were observed for adults aged ≥65 or 45-64 years (vs 18-44 years), males (vs females), and non-Hispanic black and other race/ethnicities (vs non-Hispanic whites). CONCLUSIONS: Our findings elucidate groups with higher hospitalization risk that may benefit from targeted preventive and therapeutic interventions.