OBJECTIVE: Asthma prevalence in the United States is higher than it is in many other countries and its impact in terms of healthcare expenditures and morbidity and mortality is staggering. In the United States, many groups bear a disproportionate burden of asthma. Understanding the epidemiology of adult asthma and deficits in health care can identify opportunities for improving care and effectively managing resources. METHODS: The computed dependent variable, health service deficits, entails a lack of health insurance, not having a healthcare provider, deferring medical care because of cost, and having had no routine medical exam. Bivariate and multivariate analyses were performed on 2005 Behavioral Risk Factor Surveillance Survey data to examine the relationship between health service deficits experienced by adults with asthma and socioeconomic status (SES), race and ethnicity, and geographic locale. The variable was also calculated for each US state. RESULTS: Hispanic (OR = 1.594, 95% CI = 1.588-1.599) and Other/Multiracial (OR = 1.447, 95% CI = 1.441-1.452) adults with current asthma had greater odds of having a health service deficit. Rural adults with current asthma had greater odds of having a health service deficit (OR = 1.086, 95% CI = 1.083-1.089) when compared with non-rural adult residents. Low-SES (OR = 1.976, 95% CI = 1.971-1.982) and middle-SES (OR = 1.596, 95% CI = 1.592-1.600) adults with current asthma had greater odds of having a health service deficit. The percentage of current asthma adults experiencing at least one health service deficit by state ranged from a low of 28.5% (Delaware) to a high of 58.8% (Wyoming). CONCLUSION: There are clear patterns of disparity associated with health services and asthma that can help target interventions.
OBJECTIVE: Asthma prevalence in the United States is higher than it is in many other countries and its impact in terms of healthcare expenditures and morbidity and mortality is staggering. In the United States, many groups bear a disproportionate burden of asthma. Understanding the epidemiology of adult asthma and deficits in health care can identify opportunities for improving care and effectively managing resources. METHODS: The computed dependent variable, health service deficits, entails a lack of health insurance, not having a healthcare provider, deferring medical care because of cost, and having had no routine medical exam. Bivariate and multivariate analyses were performed on 2005 Behavioral Risk Factor Surveillance Survey data to examine the relationship between health service deficits experienced by adults with asthma and socioeconomic status (SES), race and ethnicity, and geographic locale. The variable was also calculated for each US state. RESULTS: Hispanic (OR = 1.594, 95% CI = 1.588-1.599) and Other/Multiracial (OR = 1.447, 95% CI = 1.441-1.452) adults with current asthma had greater odds of having a health service deficit. Rural adults with current asthma had greater odds of having a health service deficit (OR = 1.086, 95% CI = 1.083-1.089) when compared with non-rural adult residents. Low-SES (OR = 1.976, 95% CI = 1.971-1.982) and middle-SES (OR = 1.596, 95% CI = 1.592-1.600) adults with current asthma had greater odds of having a health service deficit. The percentage of current asthma adults experiencing at least one health service deficit by state ranged from a low of 28.5% (Delaware) to a high of 58.8% (Wyoming). CONCLUSION: There are clear patterns of disparity associated with health services and asthma that can help target interventions.
Authors: Emily R Locke; Rachel M Thomas; Deborah M Woo; Ethan H K Nguyen; Bryson K Tamanaha; Valerie G Press; Gayle E Reiber; Peter J Kaboli; Vincent S Fan Journal: Telemed J E Health Date: 2018-07-17 Impact factor: 3.536
Authors: John Busby; David Price; Riyad Al-Lehebi; Sinthia Bosnic-Anticevich; Job F M van Boven; Benjamin Emmanuel; J Mark FitzGerald; Mina Gaga; Susanne Hansen; Mark Hew; Takashi Iwanaga; Désirée Larenas Linnemann; Bassam Mahboub; Patrick Mitchell; Daniela Morrone; Jonathan Pham; Celeste Porsbjerg; Nicolas Roche; Eileen Wang; Neva Eleangovan; Liam G Heaney Journal: J Asthma Allergy Date: 2021-11-10
Authors: Krista L Huot; May Nawal Lutfiyya; Michael F Akers; Maria L Amaro; Michael T Swanoski; Sarah K Schweiss Journal: BMC Health Serv Res Date: 2013-05-01 Impact factor: 2.655