Factors associated with emergency department visits for asthma resulting in hospital admission-United States, 2020.

OBJECTIVE: To identify risk factors associated with hospital admission following an ED visit for asthma at the time of discharge among U.S. children and adults. METHODS: Asthma emergency department visits resulting in hospital admissions using discharge data among children (aged 0-17 years) and adults (aged 18 years or older) from the 2020 Nationwide Emergency Department Sample (NEDS), Healthcare Cost and Utilization Project (HCUP), Agency for Healthcare Research and Quality were examined. Risk factors associated with hospital admission following ED visits were identified using univariable and multi-variable logistic regression models. RESULTS: Among children, hospital admission after asthma-related ED visits was higher for females, ages less than 12 years, and discharged in January-March or in October-December and lower for Black children, Hispanic children, Medicaid or Medicare beneficiaries, other/no charge/self-pay, and in metropolitan non-teaching or non-metropolitan hospitals. Among adults, asthma ED visits resulting in hospital admissions were higher for females, ages 35 years or older, discharged in January-March, and for Medicare beneficiaries and lower for Black adults, Hispanic adults, adults of other races, other/no charge/self-pay, in metropolitan non-teaching or non-metropolitan hospitals, and median household income quartiles for patient's ZIP Code of less than $59,000 were lower. CONCLUSIONS: Sociodemographic factors, healthcare use, and household income were significantly associated with hospital admissions at the time of discharge from the ED. Examining hospital admission after an ED visit for asthma is important in identifying these groups and better addressing their healthcare needs.

Adult asthma prevalence and trend analysis by urban-rural status across sociodemographic characteristics-United States, 2012-20.

Background: Asthma prevalence estimates among adults are limited for urban-rural classification across sociodemographic characteristics. Objectives: This study examined current asthma prevalence and annual trends by 6-level urban-rural categories across sociodemographic characteristics among US adults. Methods: Asthma prevalence for 2020 and annual trends for 2012-20 were estimated using Behavioral Risk Factor Surveillance System data. The 2013 National Center for Health Statistics urban and rural categories were used to define urban-rural status. Results: Current asthma prevalence was higher in medium (9.7%; prevalence ratio 1.103 [95% CI 1.037, 1.174]) and small (9.9%; 1.111 [1.031, 1.197]) metro than in large fringe metropolitan (8.6%), was higher in micropolitan (10.2%) than in both large fringe (8.6%; 1.115 [1.042, 1.194]) and large central metropolitan (8.8%; 1.080 [1.001, 1.066]) areas. Prevalence by sociodemographic characteristics varied between urban-rural scheme; the prevalence was significantly higher among adults aged 55-64 years in micropolitan (11.9%), women in small metro (12.8%), and other race non-Hispanic in noncore (most rural) (13.6%) areas, adults without a high school diploma in micropolitan areas (13.8%), household income <100% of federal poverty level in micropolitan areas (15.7%), and adults with insurance coverage in micropolitan areas (10.3%) compared to the corresponding populations in other urban-rural categories. During 2012-20, an increasing trend in prevalence was observed only in medium metro areas, with an annual percentage change of 0.81. Conclusions: Asthma prevalence differed by 6-level urban-rural categories. These findings might be helpful in establishing effective asthma control programs and targeting resource allocation at the local level.

Asthma disparities among U.S. children and adults.

OBJECTIVE: To assess factors that are associated with asthma prevalence and asthma attacks among children (0-17 years) and adults (18 years and over) in the United States of America. METHODS: The 2019-2021 National Health Interview Survey data were analyzed using multivariable logistic regression models to determine associations between health outcomes (i.e. current asthma and asthma attacks) and demographic and socioeconomic factors. Each health outcome was regressed over each characteristic variable, adjusting for age, sex, and race/ethnicity for adults and sex and race/ethnicity for children. RESULTS: Asthma was more common among children who were male, blacks, parental education less than bachelor's, or had public health insurance, and among adults who had less than a bachelor's degree, do not own a home, or not in the workforce. Persons in families facing difficulty paying medical bills were more likely to have current asthma (children: aPR = 1.62[1.40-1.88]; adults: aPR = 1.67[1.55-1.81]) and asthma attacks (children: aPR = 1.34[1.15-1.56]; adults: aPR = 1.31[1.20-1.43]). Persons with family income <100% federal poverty threshold (FPT) (children: aPR = 1.39[1.17-1.64]; adults: aPR = 1.64[1.50-1.80]) or adults 100-199% FPT (aPR = 1.28[1.19-1.39]) were more likely to have current asthma. Children and adults with family income <100% FPT and adults 100-199% FPT were also more likely to have asthma attacks. Having asthma attacks was common among adults not in the workforce as well (aPR = 1.17[1.07-1.27]). CONCLUSIONS: Asthma affects certain groups disproportionately. The findings of this paper suggesting asthma disparities continue to persist may increase public health programs awareness to better deliver effective and evidence-based interventions.

The shifting prevalence of asthma and allergic disease in US children.

BACKGROUND: Asthma is a chronic lung disease that affected 5 million children. Allergy is a common comorbidity of asthma. Having both conditions is associated with unfavorable health outcomes and impaired quality of life. OBJECTIVE: Purpose of this study was to assess allergy and its association with asthma by select characteristics among children to determine differences by populations. METHODS: National Health Interview Survey data (2007-2018) were used to assess asthma and allergy status, trends, and the association between allergy and asthma by select characteristics among US children (aged 0-17 years). RESULTS: Prevalence of asthma decreased among all children (slope [-] P < .001) and among those with allergy (slope [-] P = .002). More children had respiratory allergy (14.7%), followed by skin allergy (12.7%) and food allergy (6.4%). Prevalence of respiratory allergy significantly decreased among White non-Hispanic children (slope [-] P = .002), food allergy increased among White non-Hispanic (slope [+] P < .001) and Hispanic children (slope [+] P = .003), and skin allergy increased among Hispanic children (slope [+] P = .04). Depending on number and type, children with allergy were 2 to 8 times (skin allergy only and having all 3 allergies, respectively) more likely to have current asthma than were children without allergy. Among children with current asthma, having any allergy was significantly associated with missed school days (adjusted prevalence ratio, 1.33 [1.03-1.72]; P = .02) and taking preventive medication daily (adjusted prevalence ratio, 1.89 [1.32-2.71]; P < .001). CONCLUSION: Trends in allergies across years differed by race and ethnicity. Strength of association between asthma and allergy differed by type and number of allergies, being highest among children having all 3 types of allergies. Having both asthma and allergy was associated with unfavorable asthma outcomes.

Asthma Among Adults and Children by Urban-Rural Classification Scheme, United States, 2016-2018.

OBJECTIVES: Although data on the prevalence of current asthma among adults and children are available at national, regional, and state levels, such data are limited at the substate level (eg, urban-rural classification and county). We examined the prevalence of current asthma in adults and children across 6 levels of urban-rural classification in each state. METHODS: We estimated current asthma prevalence among adults for urban-rural categories in the 50 states and the District of Columbia and among children for urban-rural categories in 27 states by analyzing 2016-2018 Behavioral Risk Factor Surveillance System survey data. We used the 2013 National Center for Health Statistics 6-level urban-rural classification scheme to define urban-rural status of counties. RESULTS: During 2016-2018, the current asthma prevalence among US adults in medium metropolitan (9.5%), small metropolitan (9.5%), micropolitan (10.0%), and noncore (9.6%) areas was higher than the asthma prevalence in large central metropolitan (8.6%) and large fringe metropolitan (8.7%) areas. Current asthma prevalence in adults differed significantly among the 6 levels of urban-rural categories in 19 states. In addition, the prevalence of current asthma in adults was significantly higher in the Northeast (9.9%) than in the South (8.7%) and the West (8.8%). The current asthma prevalence in children differed significantly by urban-rural categories in 7 of 27 states. For these 7 states, the prevalence of asthma in children was higher in large central metropolitan areas than in micropolitan or noncore areas, except for Oregon, in which the prevalence in the large central metropolitan area was the lowest. CONCLUSIONS: Knowledge about county-level current asthma prevalence in adults and children may aid state and local policy makers and public health officers in establishing effective asthma control programs and targeted resource allocation.

Asthma Surveillance - United States, 2006-2018.

PROBLEM: Asthma is a chronic disease of the airways that requires ongoing medical management. Socioeconomic and demographic factors as well as health care use might influence health patterns in urban and rural areas. Persons living in rural areas tend to have less access to health care and health resources and worse health outcomes. Characterizing asthma indicators (i.e., prevalence of current asthma, asthma attacks, emergency department and urgent care center [ED/UCC] visits, and asthma-associated deaths) and determining how asthma exacerbations and health care use vary across the United States by geographic area, including differences between urban and rural areas, and by sociodemographic factors can help identify subpopulations at risk for asthma-related complications. REPORTING PERIOD: 2006-2018. DESCRIPTION OF SYSTEM: The National Health Interview Survey (NHIS) is an annual cross-sectional household health survey among the civilian noninstitutionalized population in the United States. NHIS data were used to produce estimates for current asthma and among them, asthma attacks and ED/UCC visits. National Vital Statistics System (NVSS) data were used to estimate asthma deaths. Estimates of current asthma, asthma attacks, ED/UCC visits, and asthma mortality rates are described by demographic characteristics, poverty level (except for deaths), and geographic area for 2016-2018. Trends in asthma indicators by metropolitan statistical area (MSA) category for 2006-2018 were determined. Current asthma and asthma attack prevalence are provided by MSA category and state for 2016-2018. Detailed urban-rural classifications (six levels) were determined by merging 2013 National Center for Health Statistics (NCHS) urban-rural classification data with 2016-2018 NHIS data by county and state variables. All subregional estimates were accessed through the NCHS Research Data Center. RESULTS: Current asthma was higher among boys aged <18 years, women aged ≥18 years, non-Hispanic Black (Black) persons, non-Hispanic multiple-race (multiple-race) persons, and Puerto Rican persons. Asthma attacks were more prevalent among children, females, and multiple-race persons. ED/UCC visits were more prevalent among children, women aged ≥18 years, and all racial and ethnic groups (i.e., Black, non-Hispanic Asian, multiple race, and Hispanic, including Puerto Rican, Mexican, and other Hispanic) except American Indian and Alaska Native persons compared with non-Hispanic White (White) persons. Asthma deaths were higher among adults, females, and Black persons. All pertinent asthma outcomes were also more prevalent among persons with low family incomes. Current asthma prevalence was higher in the Northeast than in the South and the West, particularly in small MSA areas. The prevalence was also higher in small and medium metropolitan areas than in large central metropolitan areas. The prevalence of asthma attacks differed by MSA category in four states. The prevalence of ED/UCC visits was higher in the South than the Northeast and the Midwest and was also higher in large central metropolitan areas than in micropolitan and noncore areas. The asthma mortality rate was highest in non-MSAs, specifically noncore areas. The asthma mortality rate was also higher in the Northeast, Midwest, and West than in the South. Within large MSAs, asthma deaths were higher in the Northeast and Midwest than the South and West. INTERPRETATION: Despite some improvements in asthma outcomes over time, the findings from this report indicate that disparities in asthma indicators persist by demographic characteristics, poverty level, and geographic location. PUBLIC HEALTH ACTION: Disparities in asthma outcomes and health care use in rural and urban populations identified from NHIS and NVSS can aid public health programs in directing resources and interventions to improve asthma outcomes. These data also can be used to develop strategic goals and achieve CDC's Controlling Childhood Asthma and Reducing Emergencies (CCARE) initiative to reduce childhood asthma hospitalizations and ED visits and prevent 500,000 asthma-related hospitalizations and ED visits by 2024.

Cost barriers to asthma care by health insurance type among children with asthma.

Objective: Children with asthma have ongoing health care needs and health insurance is a vital part of their health care access. Health care coverage may be associated with various cost barriers to asthma care. We examined cost barriers to receiving asthma care by health insurance type and coverage continuity among children with asthma using the 2012-2014 Child Asthma Call-back Survey (ACBS).Methods: The study sample included 3788 children under age 18 years with current asthma who had responses to the ACBS by adult proxy. Associations between cost barriers to asthma care and treatment were analyzed by demographic, health insurance coverage, and urban residence variables using multivariable logistic regression models.Results: Among insured children, more blacks reported a cost barrier to seeing a doctor (10.6% [5.9, 18.3]) compared with whites (2.9% [2.1, 4.0]) (p = 0.03). Adjusting for demographic factors (sex, age, and race), uninsured and having partial year coverage were associated with cost barrier to seeing a doctor (adjusted prevalence ratio aPR = 8.07 [4.78, 13.61] and aPR = 6.58 [3.78, 11.45], respectively) and affording medication (aPR = 8.35 [5.23, 13.34] and aPR = 4.93 [2.96, 8.19], respectively), compared with children who had full year coverage. Public insurance was associated with cost barrier to seeing a doctor (aPR = 4.43 [2.57, 7.62]), compared with private insurance.Conclusions: Having no health insurance, partial year coverage, and public insurance were associated with cost barriers to asthma care. Improving health insurance coverage may help strengthen access to and reduce cost barriers to asthma care.

Impaired health-related quality of life and related risk factors among US adults with asthma.

OBJECTIVE: This study assessed health-related quality of life (HRQoL) and related risk factors among adults with asthma in the United States. Using the 2015 Behavioral Risk Factor Surveillance System (BRFSS), we examined the association between four domains of impaired HRQoL and selected explanatory factors. METHODS: A BRFSS sample of 39,321 adults with asthma was used in this study. We examined the association between fair/poor health, ≥ 14 mentally unhealthy days, ≥ 14 physically unhealthy days, and ≥ 14 days of activity limitation and selected explanatory variables (sex, race/ethnicity, age, annual household income, healthcare coverage, physical activity, smoking status, body mass index (BMI), having a coexisting disease, and being diagnosed with depression) using multivariable logistic regression models. RESULTS: Income, physical activity status, smoking status, coexisting diseases, and depression were strongly associated with all HRQoL domains. Blacks had significantly less ≥ 14 physically unhealthy days (23.4%; aPR = 0.82 [95% confidence interval (CI): 0.72, 0.92]) and ≥ 14 days of activity limitation (18.3%; aPR = 0.81 [0.70, 0.94]) and Hispanics had significantly more fair/poor health (38.4%; aPR = 1.31 [1.18, 1.45]) than whites. Underweight and obese had significantly more fair/poor health, and underweight significantly more ≥ 14 physically unhealthy days, compared with normal weight. Adults aged 55 years or older had significantly less ≥ 14 mentally unhealthy days than adults 18-24 years. CONCLUSIONS: Multiple factors were associated with impaired HRQoL. Providing strategies to address potential risk factors such as low income, physically inactive, smoker, and obese or underweight should be considered to improve HRQoL among adults with asthma.