Title |
Spatiotemporal patterns of childhood asthma hospitalization and utilization in Memphis Metropolitan Area from 2005 to 2015
|
---|---|
Published in |
Journal of Asthma, February 2017
|
DOI | 10.1080/02770903.2016.1277537 |
Pubmed ID | |
Authors |
Tonny J. Oyana, Pradeep Podila, Jagila Minso Wesley, Slawo Lomnicki, Stephania Cormier |
Abstract |
To identify key risk factors and explain spatiotemporal patterns of childhood asthma in the Memphis Metropolitan Area (MMA) over an 11-year period (2005 to 2015). We hypothesize that in the MMA region this burden is more prevalent among urban children living south, downtown, and north of Memphis than other areas. We used a large-scale longitudinal electronic health record database from an integrated healthcare system, GIS, statistical, and space-time models to study spatiotemporal distributions of childhood asthma at census-tract level. We found statistically significant spatiotemporal clusters of childhood asthma in the south, west, and north of Memphis city after adjusting for key covariates. Results further show a significant increase in temporal gradient in frequency of emergency department visits and inpatient hospitalizations from 2009 to 2013; and an upward trajectory from 4 per 1,000 children in 2005 to 16 per 1,000 children in 2015. The multivariate logistic regression identified age, race, insurance, admit source, encounter type, and frequency of visits as significant risk factors for childhood asthma (p<0.05). We observed a greater asthma burden and healthcare utilization for African American (AA) patients living in a high-risk area than those living in a low-risk area in comparison to the White patients: AA vs. White [Odds Ratio (OR) = 3.03, 95% Confidence Interval (CI): 2.75-3.34]; and Hispanic vs. White (OR = 1.62, 95% CI: 1.21-2.17). These findings provide a strong basis for developing geographically-tailored population health strategies at the neighborhood level for young children with chronic respiratory conditions. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 56 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 18% |
Other | 5 | 9% |
Student > Ph. D. Student | 5 | 9% |
Student > Master | 4 | 7% |
Professor | 4 | 7% |
Other | 16 | 29% |
Unknown | 12 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 22 | 39% |
Social Sciences | 5 | 9% |
Biochemistry, Genetics and Molecular Biology | 3 | 5% |
Nursing and Health Professions | 2 | 4% |
Environmental Science | 1 | 2% |
Other | 7 | 13% |
Unknown | 16 | 29% |