Trauma Bay Disposition of Infants and Young Children With Mild Traumatic Brain Injury and Positive Head Imaging.

OBJECTIVES: To describe the disposition of infants and young children with isolated mild traumatic brain injury and neuroimaging findings evaluated at a level 1 pediatric trauma center, and identify factors associated with their need for ICU admission. DESIGN: Retrospective cohort. SETTING: Single center. PATIENTS: Children less than or equal to 4 years old with mild traumatic brain injury (Glasgow Coma Scale 13-15) and neuroimaging findings evaluated between January 1, 2013, and December 31, 2015. Polytrauma victims and patients requiring intubation or vasoactive infusions preadmission were excluded. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Two-hundred ten children (median age/weight/Glasgow Coma Scale: 6 mo/7.5 kg/15) met inclusion criteria. Most neuroimaging showed skull fractures with extra-axial hemorrhage/no midline shift (30%), nondisplaced skull fractures (28%), and intracranial hemorrhage without fractures/midline shift (19%). Trauma bay disposition included ICU (48%), ward (38%), intermediate care unit and home (7% each). Overall, 1% required intubation, 4.3% seizure management, and 4.3% neurosurgical procedures; 15% were diagnosed with nonaccidental trauma. None of the ward/intermediate care unit patients were transferred to ICU. Median ICU/hospital length of stay was 2 days. Most patients (99%) were discharged home without neurologic deficits. The ICU subgroup included all patients with midline shift, 62% patients with intracranial hemorrhage, and 20% patients with skull fractures. Across these imaging subtypes, the only clinical predictor of ICU admission was trauma bay Glasgow Coma Scale less than 15 (p = 0.018 for intracranial hemorrhage; p < 0.001 for skull fractures). A minority of ICU patients (18/100) required neurocritical care and/or neurosurgical interventions; risk factors included neurologic deficit, loss of consciousness/seizures, and extra-axial hemorrhage (especially epidural hematoma). CONCLUSIONS: Nearly half of our cohort was briefly monitored in the ICU (with disposition mostly explained by trauma bay imaging, rather than clinical findings); however, less than 10% required ICU-specific interventions. Although ICU could be used for close neuromonitoring to prevent further neurologic injury, additional research should explore if less conservative approaches may preserve patient safety while optimizing healthcare resource utilization.

Variation in acute fluid resuscitation among pediatric burn centers.

BACKGROUND: Accurate resuscitation of pediatric patients with large thermal injury is critical to achieving optimal outcomes. The goal of this project was to describe the degree of variability in resuscitation guidelines among pediatric burn centers and the impact on fluid estimates. METHODS: Five pediatric burn centers in the Pediatric Injury Quality Improvement Collaborative (PIQIC) contributed data from patients with ≥15% total body surface area (TBSA) burns treated from 2014 to 2018. Each center's resuscitation guidelines and guidelines from the American Burn Association were used to calculate estimated 24-h fluid requirements and compare these values to the actual fluid received. RESULTS: Differences in the TBSA burn at which fluid resuscitation was initiated, coefficients related to the Parkland formula, criteria to initiate dextrose containing fluids, and urine output goals were observed. Three of the five centers' resuscitation guidelines produced statistically significant lower mean fluid estimates when compared with the actual mean fluid received for all patients across centers (4.53 versus 6.35ml/kg/% TBSA, p<0.001), (4.90 versus 6.35ml/kg/TBSA, p=0.002) and (3.38 versus 6.35ml/kg/TBSA, p<0.0001). CONCLUSIONS: This variation in practice patterns led to statistically significant differences in fluid estimates. One center chose to modify its resuscitation guidelines at the conclusion of this study.

Assessment of a quality improvement intervention to improve the consistency of total body surface area burn estimates between referring facilities and a pediatric burn center.

BACKGROUND: Burns are a significant source of pediatric morbidity and frequently result in transfer of care to a pediatric burn center. Data suggest that referring facilities often overestimate the total body surface area (%TBSA) of burns in comparison to the subsequent assessment at the pediatric burn center. Such discrepancies may trigger inappropriately aggressive interventions with potential for patient harm. Our baseline assessment of data from 106 patients transferred to our pediatric burn center over a one-year period showed that 59/106 (56%) patients had a %TBSA recorded at the time of transfer and 18/59 (31%) had clinically significant differences (>5% difference) in estimates between the referring facility and the pediatric burn center. METHODS: Informed by this clinical audit and a root cause analysis, we implemented practices to enhance consistency of clinical assessments between referring facilities and our pediatric burn center. These practices included the use of a common clinical assessment instrument (a standardized Lund and Browder form) that was integrated into the interfacility transfer process as well as educational outreach at referring facilities for providers who treat children with burns, prioritizing facilities with the highest number of discrepancies. RESULTS: Follow up data was reviewed 16-23 months after initiating the intervention. Cumulatively, we found significant improvement in the proportion of patients with %TBSA recorded (94% vs 56%, p < 0.001) that achieved our goal to exceed 90% and a reduction in clinically significant discrepancies that exceeded our goal of 15% (10% vs 31%, p = 0.002). CONCLUSIONS: Referring facilities often overestimate the %TBSA in comparison to the subsequent assessment at the pediatric burn center. The consistency of the %TBSA estimates can be improved by interventions that utilize the sharing of a common clinical assessment instrument and standardization of the transfer intake process.

Mapping the Flow of Pediatric Trauma Patients Using Process Mining.

BACKGROUND: Inhospital pediatric trauma care typically spans multiple locations, which influences the use of resources, that could be improved by gaining a better understanding of the inhospital flow of patients and identifying opportunities for improvement. OBJECTIVES: To describe a process mining approach for mapping the inhospital flow of pediatric trauma patients, to identify and characterize the major patient pathways and care transitions, and to identify opportunities for patient flow and triage improvement. METHODS: From the trauma registry of a level I pediatric trauma center, data were extracted regarding the two highest trauma activation levels, Alpha (n = 228) and Bravo (n = 1,713). An event log was generated from the admission, discharge, and transfer data from which patient pathways and care transitions were identified and described. The Flexible Heuristics Miner algorithm was used to generate a process map for the cohort, and separate process maps for Alpha and Bravo encounters, which were assessed for conformance when fitness value was less than 0.950, with the identification and comparison of conforming and nonconforming encounters. RESULTS: The process map for the cohort was similar to a validated process map derived through qualitative methods. The process map for Bravo encounters had a relatively low fitness of 0.887, and 96 (5.6%) encounters were identified as nonconforming with characteristics comparable to Alpha encounters. In total, 28 patient pathways and 20 care transitions were identified. The top five patient pathways were traversed by 92.1% of patients, whereas the top five care transitions accounted for 87.5% of all care transitions. A larger-than-expected number of discharges from the pediatric intensive care unit (PICU) were identified, with 84.2% involving discharge to home without the need for home care services. CONCLUSION: Process mining was successfully applied to derive process maps from trauma registry data and to identify opportunities for trauma triage improvement and optimization of PICU use.

Linking Electronic Health Record and Trauma Registry Data: Assessing the Value of Probabilistic Linkage.

BACKGROUND: Electronic health record (EHR) systems contain large volumes of novel heterogeneous data that can be linked to trauma registry data to enable innovative research not possible with either data source alone. OBJECTIVE: This article describes an approach for linking electronically extracted EHR data to trauma registry data at the institutional level and assesses the value of probabilistic linkage. METHODS: Encounter data were independently obtained from the EHR data warehouse (n = 1,632) and the pediatric trauma registry (n = 1,829) at a Level I pediatric trauma center. Deterministic linkage was attempted using nine different combinations of medical record number (MRN), encounter identity (ID) (visit ID), age, gender, and emergency department (ED) arrival date. True matches from the best performing variable combination were used to create a gold standard, which was used to evaluate the performance of each variable combination, and to train a probabilistic algorithm that was separately used to link records unmatched by deterministic linkage and the entire cohort. Additional records that matched probabilistically were investigated via chart review and compared against records that matched deterministically. RESULTS: Deterministic linkage with exact matching on any three of MRN, encounter ID, age, gender, and ED arrival date gave the best yield of 1,276 true matches while an additional probabilistic linkage step following deterministic linkage yielded 110 true matches. These records contained a significantly higher number of boys compared to records that matched deterministically and etiology was attributable to mismatch between MRNs in the two data sets. Probabilistic linkage of the entire cohort yielded 1,363 true matches. CONCLUSION: The combination of deterministic and an additional probabilistic method represents a robust approach for linking EHR data to trauma registry data. This approach may be generalizable to studies involving other registries and databases.