Racial and Ethnic Disparities in Medical Complexity and In-Hospital Death Among US-Born VLBW Infants.

BACKGROUND AND OBJECTIVE: To assess the racial and ethnic disparity in the prevalence of complex chronic conditions (CCC) and/or in-hospital death among US-born very low birth weight (VLBW, <1500 g) infants. METHODS: This retrospective, cross-sectional analysis of discharge data from the Kids' Inpatient Database, included VLBW infants born in US hospitals in 2009 and 2012 (n = 554825, weighted n = 573693) exlcuding those with missing demographics. The main outcome was CCC or death. Multiple logistic regression modeling estimated the association of various characteristics with CCC or death, considering race and ethnicity. RESULTS: There was heterogeneity in the association of insurance status and hospital region and experiencing CCC or death when compared across races and ethnicities. Infants of all races and ethnicities had higher odds of CCC or death if they had an operative procedure, were outborn, or had a birth weight of <500 g or 500 g to 999 g compared with 1000 g to 1499 g. Non-Hispanic Black infants <500 g, however, had the highest odds of CCC or death compared with those 1000 g to 1499 g (adjusted odds ratio 67.2, 95% confidence interval, 48.6-93.0), 2.3 times higher than the odds for non-Hispanic White infants (AOR 2.32, 95% confidence interval, 1.57-3.42). CONCLUSIONS: Insurance and region were associated with increased prevalence of CCC or death in certain racial and ethnic groups. Additionally, non-Hispanic Black infants <500 g had >2.3 times the odds of CCC or death compared with non-Hispanic White infants, relative to infants 1000 g to 1499 g. Additional investigation is needed to understand the drivers of these disparities.

Prevalence and Predictors of Medical Complexity in a National Sample of VLBW Infants.

BACKGROUND AND OBJECTIVES: Very low birth weight (VLBW) infants are at high risk for morbidities beyond the neonatal period and ongoing use of health care. Specific morbidities have been studied; however, a comprehensive landscape of medical complexity in VLBW infants has not been fully described. We sought to (1) describe the prevalence of complex chronic conditions (CCCs) and (2) determine the association of demographic, hospital, and clinical factors with CCCs and CCCs or death. METHODS: This retrospective cross-sectional analysis of discharge data from the Kids' Inpatient Database (2009-2012) included infants with a birth weight <1500 g and complete demographics. Outcomes included having CCCs or having either CCCs or dying. Analyses were weighted; univariate and multiple logistic regression models were used to estimate unadjusted and adjusted odds ratios. A dominance analysis with Cox-Snell R 2 determined the relative contribution of demographic, hospital, and clinical factors to the outcomes. RESULTS: Among our weighted cohort of >78 000 VLBW infants, >50% had CCCs or died. After adjustments, the prevalence of CCCs or CCCs or death differed by sex, race and ethnicity, hospital location, US region, receipt of surgery, transfer status, and birth weight. Clinical factors accounted for the highest proportion of the model's ability to predict CCCs and CCCs or death at 93.3% and 96.3%, respectively, whereas demographic factors were 11.5% and 2.3% and hospital factors were 5.2% and 1.4%, respectively. CONCLUSIONS: In this nationally representative analysis, medical complexity is high among VLBW infants. Varying contributions of demographic, hospital, and clinical factors in predicting medical complexity offer opportunities to investigate future interventions to improve care delivery and patient outcomes.