Barriers to and Facilitators of Iron Therapy in Children with Iron Deficiency Anemia.

OBJECTIVE: To characterize barriers to and facilitators of successful iron therapy in young children with iron deficiency anemia (IDA) from an in-depth parental perspective. STUDY DESIGN: Prospective, mixed methods study of children age 9 months to 4 years with a diagnosis of nutritional IDA by clinical history and laboratory criteria and their parents. Clinical data were obtained from the electronic health record. Semistructured interviews focused on knowledge of IDA, clinical effects, experience with iron therapies, and motivation were conducted with the parent who identified as the child's primary caregiver. RESULTS: Twenty patient-parent dyads completed the study; 80% (n = 16) identified as Hispanic/Latino (white). Patients' median age was 23 months (50% male); median initial hemoglobin concentration was 8.2 g/dL and duration of oral iron therapy was 3 months. Parents' median age was 29 years (85% female); 8 interviews (40%) were conducted in Spanish. Barriers included difficulty in administering oral iron owing to side effects and poor taste. Facilitators included provision of specific instructions; support from healthcare providers and additional caregivers at home; motivation to benefit child's health, which was strengthened by strong emotional reactions (ie, stress, anxiety) to therapy and follow-up; and an appreciation of child's improvement with successful completion of therapy. CONCLUSIONS: Our findings support the need for interventions designed to promote oral iron adherence in children with IDA. Rather than focusing on knowledge content related to IDA, interventions should aim to increase parental motivation by emphasizing the health benefits of adhering to iron therapy and avoiding more invasive interventions.

Disparities in Pediatric Mortality by Neighborhood Income in United States Emergency Departments.

OBJECTIVE: To evaluate emergency department (ED) pediatric mortality by patient neighborhood income. STUDY DESIGN: We calculated the incidence of ED pediatric mortality via a cross-sectional study of children <18 years who died in an ED using the Nationwide Emergency Department Sample and US Census from 2012 to 2016. The main exposure was median income for the patient's zip code tabulation area quartile. To determine factors associated with ED mortality, we modeled mortality using negative binomial regression. We used an interaction term between neighborhood income and insurance type to evaluate their relationship to mortality. RESULTS: There were 64 893 ED deaths during the study period (incidence 17.3 per 100 000 person-years). The incidence of ED mortality increased with decreasing neighborhood income: compared with the wealthiest income quartile, the poorest, second, and third quartiles had adjusted incidence rate ratios (aIRRs) of 1.79 (95% CI 1.63-1.96), 1.42 (95% CI 1.29-1.55), and 1.23 (95% CI 1.12-1.36), respectively. The incidence of ED mortality was greater among uninsured children (aIRR 4.96, 95% CI 4.55-5.41) and publicly insured children (aIRR 2.69, 95% CI 2.51-2.88) compared with privately insured children. The interaction term showed no consistent relationship between neighborhood income and insurance with ED mortality. CONCLUSIONS: Children from poorer neighborhoods have greater ED mortality rates than children from greater-income neighborhoods. Improved access to health insurance in the US may lead to reduced pediatric mortality, as ED mortality was greatest in uninsured children. Development of interventions to improve upstream determinants of health that contribute to ED mortality are needed.

Adding Social Determinant Data Changes Children's Hospitals' Readmissions Performance.

OBJECTIVES: To determine whether social determinants of health (SDH) risk adjustment changes hospital-level performance on the 30-day Pediatric All-Condition Readmission (PACR) measure and improves fit and accuracy of discharge-level models. STUDY DESIGN: We performed a retrospective cohort study of all hospital discharges meeting criteria for the PACR from 47 hospitals in the Pediatric Health Information database from January to December 2014. We built four nested regression models by sequentially adding risk adjustment factors as follows: chronic condition indicators (CCIs); PACR patient factors (age and sex); electronic health record-derived SDH (race, ethnicity, payer), and zip code-linked SDH (families below poverty level, vacant housing units, adults without a high school diploma, single-parent households, median household income, unemployment rate). For each model, we measured the change in hospitals' readmission decile-rank and assessed model fit and accuracy. RESULTS: For the 458 686 discharges meeting PACR inclusion criteria, in multivariable models, factors associated with higher discharge-level PACR measure included age <1 year, female sex, 1 of 17 CCIs, higher CCI count, Medicaid insurance, higher median household income, and higher percentage of single-parent households. Adjustment for SDH made small but significant improvements in fit and accuracy of discharge-level PACR models, with larger effect at the hospital level, changing decile-rank for 17 of 47 hospitals. CONCLUSIONS: We found that risk adjustment for SDH changed hospitals' readmissions rate rank order. Hospital-level changes in relative readmissions performance can have considerable financial implications; thus, for pay for performance measures calculated at the hospital level, and for research associated therewith, our findings support the inclusion of SDH variables in risk adjustment.

Socioeconomic Status and Hospitalization Costs for Children with Brain and Spinal Cord Injury.

OBJECTIVE: To determine if household income is associated with hospitalization costs for severe traumatic brain injury (TBI) and spinal cord injury (SCI). STUDY DESIGN: Retrospective cohort study of inpatient, nonrehabilitation hospitalizations at 43 freestanding children's hospitals for patients <19 years old with unintentional severe TBI and SCI from 2009-2012. Standardized cost of care for hospitalizations was modeled using mixed-effects methods, adjusting for age, sex, race/ethnicity, primary payer, presence of chronic medical condition, mechanism of injury, injury severity, distance from residence to hospital, and trauma center level. Main exposure was zip code level median annual household income. RESULTS: There were 1061 patients that met inclusion criteria, 833 with TBI only, 227 with SCI only, and 1 with TBI and SCI. Compared with those with the lowest-income zip codes, patients from the highest-income zip codes were more likely to be older, white (76.7% vs 50.4%), have private insurance (68.9% vs 27.9%), and live closer to the hospital (median distance 26.7 miles vs 81.2 miles). In adjusted models, there was no significant association between zip code level household income and hospitalization costs. CONCLUSIONS: Children hospitalized with unintentional, severe TBI and SCI showed no difference in standardized hospital costs relative to a patient's home zip code level median annual household income. The association between household income and hospitalization costs may vary by primary diagnosis.

Association between Hospital Volume and Within-Hospital Intensive Care Unit Transfer for Sickle Cell Disease in Children's Hospitals.

OBJECTIVE: To assess the relationship between hospital volume and intensive care unit (ICU) transfer among hospitalized children with sickle cell disease (SCD). STUDY DESIGN: We conducted a retrospective cohort study of 83,477 SCD-related hospitalizations at children's hospitals (2009-2012) using the Pediatric Health Information System database. Hospital-level all-cause and SCD-specific volumes were dichotomized (low vs high). Outcomes were within-hospital ICU transfer (primary) and length of stay (LOS) total (secondary). Multivariable logistic/linear regressions assessed the association of hospital volumes with ICU transfer and LOS. RESULTS: Of 83,477 eligible hospitalizations, 1741 (2.1%) involving 1432 unique children were complicated by ICU transfer. High SCD-specific volume (OR 0.77, 95% CI 0.64-0.91) was associated with lower odds of ICU transfer while high all-cause hospital volume was not (OR 0.87, 95% CI 0.73-1.04). A statistically significant interaction was found between all-cause and SCD-specific volumes. When results were stratified according to all-cause volume, high SCD-specific volume was associated with lower odds of ICU transfer at low all-cause volume (OR 0.46, 95% CI 0.38-0.55). High hospital volumes, both all-cause (OR 0.94, 95% CI 0.92-0.97) and SCD-specific (OR 0.86, 95% CI 0.84-0.88), were associated with shorter LOS. CONCLUSIONS: Children's hospitals vary substantially in their transfer of children with SCD to the ICU according to hospital volumes. Understanding the practices used by different institutions may help explain the variability in ICU transfer among hospitals caring for children with SCD.