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Objective: Few studies have examined factors affecting the high frequency of hospitalization for pediatric asthma. This study identifies individual and environmental characteristics of children with asthma from a low-income community with a high number of hospitalizations. Methods: The study population included 902 children admitted at least once to a children's hospital in South Texas because of asthma from 2010 to 2016. The population was divided into three groups by utilization frequency (high: ≥4 times, medium: 2–3 times, or low: 1 time). Individual-level factors at index admission and environmental factors were included for the analysis. Unadjusted and adjusted multivariate ordered logistic regression models were applied to identify significant characteristics of high hospital utilizers. Results: The high utilization group comprised 2.4% of total patients and accounted for substantial hospital resource utilization: 10.8% of all admissions and 13.5% of days stayed in the hospital. Patients in the high utilization group showed longer length of stay (LOS) and shorter time between admissions on average than the other two groups. The multivariate ordered logistic regression models revealed that age of 5–11 years (OR = 0.57, 95%CI = 0.35–0.93), longer LOS (2 days: OR = 1.80, 95%CI = 1.15–2.84; ≥3 days: OR = 3.38, 95%CI = 2.10–5.46), warm season at index admission (OR = 1.49, 95%CI = 1.01–2.20), and higher average ozone level in children's residential neighborhoods (OR = 1.78, 95%CI = 1.01–3.14) were significantly associated with a higher number of asthma hospitalizations. Conclusions: The findings suggest the importance of monitoring high hospital utilizers and establishing strategies for such patients based on their characteristics to reduce repeated hospitalizations and to increase optimal use of hospital resources. [ABSTRACT FROM AUTHOR]

Background: This study aims to describe TBI-related hospitalizations for the whole population and identify factors associated with in-hospital mortality among elderly (≥65 years) patients hospitalized with TBI in Texas. Methods: Using Texas Hospital Discharge Data from 2012 to 2014, TBI-related hospitalizations were identified using International Classification of Diseases – Ninth Revision – Clinical Modification (ICD-9-CM) codes. Rates for age and gender were estimated using U.S. Census data. Univariate and multivariate analyses were used to identify factors associated with in-hospital mortality among those aged at least 65 years. Results: There were 51,419 TBI-related hospitalizations from 2012 to 2014 in Texas. Falls were the leading cause of TBI-related hospitalizations 6235 (36.64%), 6595 (38.40%), and 5412 (37.59%) for 2012, 2013, and 2014, respectively. Males had higher rates of hospitalizations while rates were highest for those above 80 years of age. Compared to Whites, Hispanics had 1.18 higher adjusted odds of in-hospital mortality [OR = 1.18: 95% CI (1.01–1.40)]. Similarly, adjusted odds of in-hospital mortality were higher among males [OR = 1.55: 95% CI (1.36–1.77)]. Conclusion: This study provided evidence of demographic disparities in the burden and outcome of TBI in Texas, findings could serve as a foundation for targeted TBI prevention interventions. [ABSTRACT FROM AUTHOR]