Literature DB >> 19373629

Evaluation of risk factors and health outcomes among persons with asthma.

Karen Smith1, Terri Warholak, Edward Armstrong, Marc Leib, Rick Rehfeld, Daniel Malone.   

Abstract

OBJECTIVE: To examine risk factors associated with healthcare utilization in Arizona Medicaid patients with asthma.
METHODS: Data were obtained from Arizona Medicaid between 1/1/2002 and 12/31/2003. Inclusion criteria consisted of persons with an asthma diagnosis (ICD9-CM 493.XX), 5 to 62 years of age; and were new users of inhaled-corticosteroids (ICS), combination ICS+long-acting beta-agonist, or leukotriene-modifiers. Factors examined included age, geographic location (urban/rural), race/ethnicity (White, non-Hispanic Black, Hispanic, other), medication adherence, pre-period short-acting beta-agonist use (SABA), and co-morbidities. Utilization measures examined included SABA use; exacerbations measured by hospital visits; and asthma-related and total healthcare costs. Analyses for utilization measures were performed using negative binomial, logistic regression, and generalized linear modeling gamma-family, log-link, respectively.
RESULTS: A total of 3,013 subjects met inclusion/exclusion criteria and had a mean age (+/-SD) of 24.7 +/-13.7 years. Urban residents were 55% more likely to have an exacerbation than rural residents (odds ratio-OR 0.45, 95%CI: 0.27-0.78). Age (years 18 to 62) was a significant predictor for SABA use (incidence rate ratio-IRR 1.22, 95% CI: 1.06-1.41); and exacerbations (OR 2.07, 95% CI: 1.28-3.38). Mean predicted asthma cost was $530 (95% CI: $461-608) for ages 5 to 17, $702 (95% CI $600-822) for ages 18 to 39), and $583 (95% CI $468-726) for ages 40 to 62. Males were 46% less likely to have an exacerbation than females (OR 0.54, 95% CI: 0.31-0.94). Exacerbations were not different between race/ethnicity categories. Predicted mean asthma-related costs were not different between Whites ($591, 95% CI: $509-686), Blacks ($638, 95% CI: $499-815), or Hispanics ($535, 95% CI: $466-614).
CONCLUSIONS: Results of these analyses found urban areas had higher rates of asthma-related hospital visits compared to rural counties, but no difference in asthma-costs between urban and rural areas which may suggest rural exacerbations may be more costly or severe. Persons with asthma aged 18 to 62 had higher rates of asthma-related emergency-room visits/hospitalizations than those aged 5 to 18. Persons 18 to 39 years of age had higher costs than person 5 to 17 or 40 to 62. Race/ethnicity in this population was not a significant predictor of outcomes or asthma-related costs.

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Year:  2009        PMID: 19373629     DOI: 10.1080/02770900802627294

Source DB:  PubMed          Journal:  J Asthma        ISSN: 0277-0903            Impact factor:   2.515


  16 in total

1.  The active patient role and asthma outcomes in an underserved rural community.

Authors:  Henry N Young; Tonja L Larson; Elizabeth D Cox; Megan A Moreno; Joshua M Thorpe; Neil J MacKinnon
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2.  Anti-inflammatory medication adherence, healthcare utilization and expenditures among Medicaid and children's health insurance program enrollees with asthma.

Authors:  Jill Boylston Herndon; Soeren Mattke; Alison Evans Cuellar; Seo Yeon Hong; Elizabeth A Shenkman
Journal:  Pharmacoeconomics       Date:  2012-05       Impact factor: 4.981

3.  Notch ligand delta-like 4 regulates development and pathogenesis of allergic airway responses by modulating IL-2 production and Th2 immunity.

Authors:  Sihyug Jang; Matthew Schaller; Aaron A Berlin; Nicholas W Lukacs
Journal:  J Immunol       Date:  2010-10-13       Impact factor: 5.422

4.  The Joint Commission Children's Asthma Care quality measures and asthma readmissions.

Authors:  Bernhard A Fassl; Flory L Nkoy; Bryan L Stone; Rajendu Srivastava; Tamara D Simon; Derek A Uchida; Karmella Koopmeiners; Tom Greene; Lawrence J Cook; Christopher G Maloney
Journal:  Pediatrics       Date:  2012-08-20       Impact factor: 7.124

5.  TSLP promotes induction of Th2 differentiation but is not necessary during established allergen-induced pulmonary disease.

Authors:  Sihyug Jang; Susan Morris; Nicholas W Lukacs
Journal:  PLoS One       Date:  2013-02-20       Impact factor: 3.240

6.  Regional and temporal variations in coding of hospital diagnoses referring to upper gastrointestinal and oesophageal bleeding in Germany.

Authors:  Ingo Langner; Rafael Mikolajczyk; Edeltraut Garbe
Journal:  BMC Health Serv Res       Date:  2011-08-17       Impact factor: 2.655

7.  Human tissue models for a human disease: what are the barriers?

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Journal:  Thorax       Date:  2015-01-28       Impact factor: 9.139

Review 8.  Sex and inflammation in respiratory diseases: a clinical viewpoint.

Authors:  Georges J Casimir; Nicolas Lefèvre; Francis Corazza; Jean Duchateau
Journal:  Biol Sex Differ       Date:  2013-09-01       Impact factor: 5.027

9.  Fractional exhaled nitric oxide was not associated with the future risk of exacerbations in Chinese asthmatics: a non-interventional 1-year real-world study.

Authors:  Yafei Yuan; Bohou Li; Minyu Huang; Xianru Peng; Wenqu Zhao; Yanmei Ye; Peifang Zhang; Changhui Yu; Hangming Dong; Shaoxi Cai; Haijin Zhao
Journal:  J Thorac Dis       Date:  2019-06       Impact factor: 2.895

Review 10.  Microbiome and Asthma: What Have Experimental Models Already Taught Us?

Authors:  R Bonamichi-Santos; M V Aun; R C Agondi; J Kalil; P Giavina-Bianchi
Journal:  J Immunol Res       Date:  2015-07-22       Impact factor: 4.818

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