<p><strong>OBJECTIVES: </strong>The pediatric emergency department (ED)-based Pediatric Septic Shock Collaborative (PSSC) aimed to improve mortality and key care processes among children with presumed septic shock.</p>

<p><strong>METHODS: </strong>This was a multicenter learning and improvement collaborative of 19 pediatric EDs from November 2013 to May 2016 with shared screening and patient identification recommendations, bundles of care, and educational materials. Process metrics included minutes to initial vital sign assessment and to first and third fluid bolus and antibiotic administration. Outcomes included 3- and 30-day all-cause in-hospital mortality, hospital and ICU lengths of stay, hours on increased ventilation (including new and increases from chronic baseline in invasive and noninvasive ventilation), and hours on vasoactive agent support. Analysis used statistical process control charts and included both the overall sample and an ICU subgroup.</p>

<p><strong>RESULTS: </strong>Process improvements were noted in timely vital sign assessment and receipt of antibiotics in the overall group. Timely first bolus and antibiotics improved in the ICU subgroup. There was a decrease in 30-day all-cause in-hospital mortality in the overall sample.</p>

<p><strong>CONCLUSIONS: </strong>A multicenter pediatric ED improvement collaborative showed improvement in key processes for early sepsis management and demonstrated that a bundled quality improvement-focused approach to sepsis management can be effective in improving care.</p>

<p><strong>OBJECTIVE: </strong>(1) To evaluate regional variation in costs of care for 3 inpatient pediatric conditions, (2) assess potential drivers of variation, and (3) estimate cost savings from reducing variation.</p>

<p><strong>DESIGN/SETTING: </strong>Retrospective cohort study of hospitalizations for asthma, diabetic ketoacidosis (DKA), and acute gastroenteritis (AGE) at 46 children</p>

<p><strong>MEASUREMENTS:</strong> Variation in trimmed standardized costs were assessed within and across regions. Linear mixed effects models were adjusted for patient- and encounter-level variables to assess drivers of variation.</p>

<p><strong>RESULTS:</strong> After adjusting for patient-level factors, variation remained. Using census division clusters, mean trimmed and adjusted total standardized costs were 120% higher for asthma ($1920 vs $4227), 46% higher for DKA ($7429 vs $10,881), and 150% higher for AGE ($3316 vs $8292) in the highest-cost compared with the lowest-cost region. Comparing hospitals in the same region, standardized costs were significantly different (P &lt; 0.001) for each condition in each region. Drivers of variation were encounter-level variables including length of stay and intensive care unit utilization. For this cohort, annual savings from reducing variation would equal $69.1 million at the interregional level and $25.2 million at the intraregional level.</p>

<p><strong>CONCLUSIONS:</strong> Pediatric hospital costs vary between and within regions. Future studies should examine how much of this variation is avoidable. To the extent that less spending does not compromise outcomes, care models may be adjusted to eliminate unwarranted variation and reduce costs.</p>

<p><strong>OBJECTIVE: </strong>To determine if household income is associated with hospitalization costs for severe traumatic brain injury (TBI) and spinal cord injury (SCI).</p>

<p><strong>STUDY DESIGN: </strong>Retrospective cohort study of inpatient, nonrehabilitation hospitalizations at 43 freestanding children's hospitals for patients &lt;19&nbsp;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.</p>

<p><strong>RESULTS: </strong>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.</p>

<p><strong>CONCLUSIONS: </strong>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.</p>

<p><strong>OBJECTIVE: </strong>Socioeconomic status (SES) is inversely related to pediatric mortality in the community. However, it is unknown if this association exists for in-hospital pediatric mortality. Our objective was to determine the association of SES with in-hospital pediatric mortality among children's hospitals and to compare observed mortality with expected mortality generated from national all-hospital inpatient data.</p>

<p><strong>METHODS: </strong>This is a retrospective cohort study from 2009 to 2010 of all 1,053,101 hospitalizations at 42 tertiary care, freestanding children's hospitals. The main exposure was SES, determined by the median annual household income for the patient's ZIP code. The main outcome measure was death during the admission. Primary outcomes of interest were stratified by income and diagnosis-based service lines. Observed-to-expected mortality ratios were created, and trends across quartiles of SES were examined.</p>

<p><strong>RESULTS: </strong>Death occurred in 8950 (0.84%) of the hospitalizations. Overall, mortality rates were associated with SES (P &lt; .0001) and followed an inverse linear association (P &lt; .0001). Similarly, observed-to-expected mortality was associated with SES in an inverse association (P = .014). However, mortality overall was less than expected for all income quartiles (P &lt; .05). The association of SES and mortality varied by service line; only 3 service lines (cardiac, gastrointestinal, and neonatal) demonstrated an inverse association between SES and observed-to-expected mortality.</p>

<p><strong>CONCLUSIONS: </strong>Within children's hospitals, SES is inversely associated with in-hospital mortality, but is lower than expected for even the lowest SES quartile. The association between SES and mortality varies by service line. Multifaceted interventions initiated in the inpatient setting could potentially ameliorate SES disparities in in-hospital pediatric mortality.</p>