Hospitalizations at Nonfederal Facilities for Lower Respiratory Tract Infection in American Indian and Alaska Native Children Younger than 5 Years of Age, 1997-2012.

OBJECTIVES: To evaluate hospitalizations at nonfederal facilities for lower respiratory tract infection (LRTI) in American Indian/Alaska Native (AI/AN) children and to compare associated rates and risk factors in AI/AN children and white children. STUDY DESIGN: We used Kids' Inpatient Database samples from 1997-2012 to identify discharges in non-Hispanic AI/AN and white children ages <5 years with a principal or secondary diagnosis code indicating LRTI. To address systematic underreporting and misclassification of race in administrative databases, population rates were estimated by deriving race- and year-specific denominators from hospital births. RESULTS: During the study period, LRTI-associated discharge rates (per 1000) declined for white children (from 14.8 to 10.9; P < .001 for trend). For AI/AN children, rates varied widely by census region and were highest in the West, where they ranged from 38.6 in 1997 to 26.7 in 2012 (P = .35 for trend). Discharges in AI/AN children were associated with low household income, Medicaid insurance, and rural residence. In a case-cohort analysis of infants hospitalized with LRTI in 2012, discharge rates were higher for AI/AN infants than for white infants only in the West (72.8 vs 22.2; aOR, 2.5; 95% CI, 1.8-3.4). CONCLUSIONS: Among young children who use nonfederal hospitals, LRTI-associated hospitalizations occur at substantially higher rates for AI/AN children than for white children. These hospitalizations occur at rates that are particularly high for AI/AN infants in the West, where rates are comparable with those reported for Indian Health Service enrollees.

Using Electronic Health Records to Examine Disease Risk in Small Populations: Obesity Among American Indian Children, Wisconsin, 2007-2012.

INTRODUCTION: Tribe-based or reservation-based data consistently show disproportionately high obesity rates among American Indian children, but little is known about the approximately 75% of American Indian children living off-reservation. We examined obesity among American Indian children seeking care off-reservation by using a database of de-identified electronic health records linked to community-level census variables. METHODS: Data from electronic health records from American Indian children and a reference sample of non-Hispanic white children collected from 2007 through 2012 were abstracted to determine obesity prevalence. Related community-level and individual-level risk factors (eg, economic hardship, demographics) were examined using logistic regression. RESULTS: The obesity rate for American Indian children (n = 1,482) was double the rate among non-Hispanic white children (n = 81,042) (20.0% vs 10.6%, P < .001). American Indian children were less likely to have had a well-child visit (55.9% vs 67.1%, P < .001) during which body mass index (BMI) was measured, which may partially explain why BMI was more likely to be missing from American Indian records (18.3% vs 14.6%, P < .001). Logistic regression demonstrated significantly increased obesity risk among American Indian children (odds ratio, 1.8; 95% confidence interval, 1.6-2.1) independent of age, sex, economic hardship, insurance status, and geographic designation. CONCLUSION: An electronic health record data set demonstrated high obesity rates for nonreservation-based American Indian children, rates that had not been previously assessed. This low-cost method may be used for assessing health risk for other understudied populations and to plan and evaluate targeted interventions.