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Dive into the research topics where Cathy M. Bailey is active.

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Featured researches published by Cathy M. Bailey.


Chest | 2009

Racial and ethnic disparities in asthma medication usage and health-care utilization: data from the National Asthma Survey.

Deidre Crocker; Clive Brown; Ronald L. Moolenaar; Jeanne E. Moorman; Cathy M. Bailey; David M. Mannino; Fernando Holguin

BACKGROUND Despite the availability of effective treatment, minority children continue to experience disproportionate morbidity from asthma. Our objective was to identify and characterize racial and ethnic disparities in health-care utilization and medication usage among US children with asthma in a large multistate asthma survey. METHODS We analyzed questions from the 2003-2004 four-state sample of the National Asthma Survey to assess symptom control, medication use, and health-care utilization among white, black, and Hispanic children < 18 years old with current asthma who were residing in Alabama, California, Illinois, or Texas. RESULTS Of the 1,485 children surveyed, 55% were white, 25% were Hispanic, and 20% were black. Twice as many black children had asthma-related ED visits (39% vs 18%, respectively; p < 0.001) and hospitalizations (12% vs 5%, respectively; p = 0.02) compared with white children. Significantly fewer black and Hispanic children reported using inhaled corticosteroids (ICSs) in the past 3 months (21% and 22%, respectively) compared to white children (33%; p = 0.001). Additionally, 26% of black children and 19% of Hispanic children reported receiving a daily dose of a short-acting beta-agonist compared with 12% of white children (p = 0.001). ED visits were positively correlated with short-acting beta-agonist use and were negatively correlated with ICS use when stratified by race/ethnicity. CONCLUSIONS Children with asthma in this large, multistate survey showed a dramatic underuse of ICSs. Black and Hispanic children compared with white children had more indicators of poorly controlled asthma, including increased emergency health-care utilization, more daily rescue medication use, and lower use of ICSs, regardless of symptom control.


American Journal of Emergency Medicine | 2015

Carbon monoxide poisoning deaths in the United States, 1999 to 2012

Kanta Sircar; Jacquelyn H. Clower; Mi kyong Shin; Cathy M. Bailey; Michael King; Fuyuen Yip

BACKGROUND Unintentional, non-fire related (UNFR) carbon monoxide (CO) poisoning deaths are preventable. Surveillance of the populations most at-risk for unintentional, non-fire related (UNFR) carbon monoxide (CO) poisoning is crucial for targeting prevention efforts. OBJECTIVE This study provides estimates on UNFR CO poisoning mortality in the United States and characterizes the at-risk populations. METHODS We used 1999 to 2012 data to calculate death rates. We used underlying and multiple conditions variables from death records to identify UNFR CO poisoning cases. RESULTS For this study, we identified 6136 CO poisoning fatalities during 1999 to 2012 resulting in an average of 438 deaths annually. The annual average age-adjusted death rate was 1.48 deaths per million. Fifty four percent of the deaths occurred in a home. Age-adjusted death rates were highest for males (2.21 deaths per million) and non-Hispanic blacks (1.74 deaths per million). The age-specific death rate was highest for those aged ≥85 years (6.00 deaths per million). The annual rate of UNFR CO poisoning deaths did not change substantially during the study period, but we observed a decrease in the rate of suicide and unintentional fire related cases. CONCLUSION CO poisoning was the second most common non-medicinal poisonings death. Developing and enhancing current public health interventions could reduce ongoing exposures to CO from common sources, such as those in the residential setting.


Journal of Asthma | 2013

Factors Associated with Asthma Prevalence among Racial and Ethnic Groups—United States, 2009–2010 Behavioral Risk Factor Surveillance System

Hatice S. Zahran; Cathy M. Bailey

Background. Although the causes of asthma are poorly understood, multiple factors (e.g., genetic, environmental, socioeconomic, and lifestyle) have been implicated in the development and exacerbation of the disease, Objectives. To identify the potential predictive factors of current asthma and to assess if the predictive ability of some factors differs by race and ethnicity, Methods. We used the Centers for Disease Control and Prevention’s 2009–2010 Behavioral Risk Factor Surveillance System data to estimate asthma prevalence and to examine the potential predictive factors for asthma (sex, age, educational attainment, household income, obesity, smoking, physical activity, and health insurance) by race and ethnicity, Results. Of the 869,519 adult respondents in the survey, 8.6% reported having asthma. Asthma prevalence for all race/ethnic group was significantly higher among adults with a household income of <


Journal of Asthma | 2015

Assessing asthma control and associated risk factors among persons with current asthma - findings from the child and adult Asthma Call-back Survey.

Hatice S. Zahran; Cathy M. Bailey; Xiaoting Qin; Jeanne E. Moorman

15,000 (13.3%; adjusted prevalence ratio [aPR] of 1.9) than those with income of ≥


Journal of Asthma | 2012

Predictors of Asthma Self-Management Education among Children and Adults—2006–2007 Behavioral Risk Factor Surveillance System Asthma Call-back Survey

Hatice S. Zahran; Cathy M. Bailey; Jeanne E. Moorman

75,000 (6.8%). The prevalence was also higher among obese adults (11.6%; aPR = 1.5) than non-obese (7.3%), current and former smokers (10.5%; aPR = 1.2 and 8.8%; 1.2) than non-smokers (7.8%), and adults with health insurance (8.6%; aPR = 1.3) than adults without it (7.8%). However, the prevalence was lower among adults aged 65+ (7.8; aPR = 0.7) than adults aged 18–34 (9.3%) and among adults who reported having leisure time physical activity (7.8%; aPR = 0.8) than adults who did not report it (10.7%). When examined among the racial/ethnic groups, these associations were observed among whites and blacks but not for the other four racial/ethnic groups, Conclusions. Predictive factors for asthma vary among the racial/ethnic groups. Identifying race/ethnicity-specific modifiable environmental and host-related factors (mold, pollens, house dust mites, cockroaches, animal allergens, other pollutants, education, income, obesity, smoking, physical activity, and health insurance status) can be important in developing targeted interventions to reduce the health and economic impact of asthma among the disproportionately affected segments of the United States population.


Journal of Asthma | 2009

A National Survey of Adult Asthma Prevalence by Urban-Rural Residence U.S. 2005

Teresa Morrison; David B. Callahan; Jeanne E. Moorman; Cathy M. Bailey

Abstract Introduction: Monitoring the level of asthma control is important in determining the effectiveness of current treatment which may decrease the frequency and intensity of symptoms and functional limitations. Uncontrolled asthma has been associated with decreased quality of life and increased health care use. The objectives of this study were to assess the level of asthma control and identify related risk factors among persons with current asthma. Methods: Using the 2006 to 2010 BRFSS child and adult Asthma Call-back Survey, asthma control was classified as well-controlled or uncontrolled (not-well-controlled or very-poorly-controlled) using three impairment measures: daytime symptoms, night-time symptoms, and taking short-acting β2-agonists for symptom control. Multivariate logistic regression identified predictors of asthma control. Results: Fifty percent of adults and 38.4% of children with current asthma had uncontrolled asthma. About 63% of children and 53% of adults with uncontrolled asthma were on long-term asthma control medications. Among children, uncontrolled asthma was significantly associated with being younger than 5 years, having annual household income <


Morbidity and Mortality Weekly Report | 2018

Vital Signs: Asthma in Children — United States, 2001–2016

Hatice S. Zahran; Cathy M. Bailey; Scott A. Damon; Paul Garbe; Patrick N. Breysse

15 000, and reporting cost as barriers to medical care. Among adults, it was significantly associated with being 45 years or older, having annual household income of <


Journal of Asthma | 2014

Assessing asthma severity among children and adults with current asthma

Hatice S. Zahran; Cathy M. Bailey; Xiaoting Qin; Jeanne E. Moorman

25 000, being “other” race, having less than a 4-year college degree, being a current or former smoker, reporting cost as barriers, being obese, and having chronic obstructive pulmonary disease or depression. Conclusion: Identifying and targeting modifiable predictors of uncontrolled asthma (low educational attainment, low income, cigarette smoking, and co-morbid conditions including obesity and depression) could improve asthma control.


Journal of Asthma | 2017

Long-term control medication use and asthma control status among children and adults with asthma

Hatice S. Zahran; Cathy M. Bailey; Xiaoting Qin; Carol A. Johnson

Background. Patient self-management, besides expert care, is necessary to improve health outcomes among persons with asthma. Our objective was to describe the characteristics of persons with asthma likely to receive asthma self-management education. Methods. The 2006 and 2007 Behavioral Risk Factor Surveillance System (BRFSS) Child and Adult Asthma Call-back Survey (ACBS) data were analyzed. Binary and multinomial response logistic regression models were used to examine the association between asthma self-management education and explanatory variables. Results. Of the 31,278 persons who ever had asthma, 3953 of the children (75.8%) and 19,723 of the adults (72.8%) were classified as having active asthma. For both children and adults, the three most commonly reported asthma education components were being taught how to use an inhaler (78.6% and 89.8%, respectively); being taught what to do during an asthma episode (86.3% and 74.6%); and to recognize early signs or symptoms of an asthma episode (82.0% and 64.4%). Children and adults who reported routine care visits, hospitalization, and asthma episodes in the past 12 months because of asthma were more likely to report several asthma education components and higher asthma education scores. Children aged 12–17 years were more likely to report having instruction in peak flow meter use (1.3; 1.1–1.6) and inhaler use (1.3; 1.2–1.4), whereas older adults (aged 54–64 years or 65+ years), adults who were not high school (HS) graduates, and smokers were less likely to report having asthma management education than the corresponding comparison groups. Conclusions. Having a routine care visit, being hospitalized, and having an asthma episode were significantly associated with reporting multiple asthma education components, whereas being an older adult, having less than a HS degree, and being a smoker were associated with reporting fewer asthma education components. Asthma control programs should continue to monitor asthma self-management education and promote asthma education to all persons with asthma, especially for older adults, persons with less education, and smokers.


Journal of Asthma | 2018

Assessing health outcomes, quality of life, and healthcare use among school-age children with asthma

Matthew Lozier; Hatice S. Zahran; Cathy M. Bailey

Objectives. We analyzed national data to estimate asthma prevalence among U.S. adults by urban-rural residence and to determine the relative contributions of sociodemographic and health behavior characteristics on the probability of reporting asthma. Methods. We linked the 2005 Behavioral Risk Factor Surveillance System (BRFSS) to Urban Influence Codes (UICs), categorizing respondents into four urban-rural groups: metropolitan, adjacent metropolitan, micropolitan, and remote. BRFSS collects health data from all 50 states. UICs classify respondents county as urban or rural based on population size and proximity to metropolitan areas. We calculated asthma prevalence estimates and generated odds ratios (ORs) for the probability of reporting asthma. Results. Overall asthma prevalence (7.9%; 95%CI = 7.73–8.08) was not statistically different (p = 0.28) by urban-rural residence. After adjusting for selected characteristics, adjacent metropolitan (OR = 0.96; 95%CI = 0.90–1.02) and remote (OR = 0.95; 95%CI = 0.85–1.05) residents were less likely—and micropolitan (OR = 1.04; 95%CI = 0.93–1.16) residents were more likely—to report asthma compared with metropolitan residents; but confidence intervals included null. Conclusions. Asthma prevalence is as high in rural as in urban areas. Certain demographic, behavioral, and health care characteristics unique to place of residence might affect asthma prevalence. Because these results substantially change our understanding of asthma prevalence in rural areas, further investigation is needed to determine geographic-related risk factors

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Hatice S. Zahran

Centers for Disease Control and Prevention

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Jeanne E. Moorman

Centers for Disease Control and Prevention

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Xiaoting Qin

Centers for Disease Control and Prevention

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Carol A. Johnson

Centers for Disease Control and Prevention

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Michael King

Centers for Disease Control and Prevention

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Clive Brown

Centers for Disease Control and Prevention

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Cynthia A. Pate

Centers for Disease Control and Prevention

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David B. Callahan

Centers for Disease Control and Prevention

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Deidre Crocker

Centers for Disease Control and Prevention

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