Dataset Information

Pediatric Trauma Assessment and Management Database: Leveraging Existing Data Systems to Predict Mortality and Functional Status after Pediatric Injury.

ABSTRACT: BACKGROUND:Efforts to improve pediatric trauma outcomes need detailed data, optimally collected at lowest cost, to assess processes of care. We developed a novel database by merging 2 national data systems for 5 pediatric trauma centers to provide benchmarking metrics for mortality and non-mortality outcomes and to assess care provided throughout the care continuum. STUDY DESIGN:Trauma registry and Virtual Pediatric Systems, LLC (VPS) from 5 pediatric trauma centers were merged for children younger than 18 years discharged in 2013 from a pediatric ICU after traumatic injury. For inpatient mortality, we compared risk-adjusted models for trauma registry only, VPS only, and a combination of trauma registry and VPS variables (trauma registry+VPS). To estimate risk-adjusted functional status, we created a prediction model de novo through purposeful covariate selection using dichotomized Pediatric Overall Performance Category scale. RESULTS:Of 688 children included, 77.3% were discharged from the ICU with good performance or mild overall disability and 17.6% with moderate or severe overall disability or coma. Inpatient mortality was 5.1%. The combined dataset provided the best-performing risk-adjusted model for predicting mortality, as measured by the C-statistic, pseudo-R2, and Akaike Information Criterion, when compared with the trauma registry-only model. The final Pediatric Overall Performance Category model demonstrated adequate discrimination (C-statistic = 0.896) and calibration (Hosmer-Lemeshow goodness-of-fit p = 0.65). The probability of poor outcomes varied significantly by site (p < 0.0001). CONCLUSIONS:Merging 2 data systems allowed for improved risk-adjusted modeling for mortality and functional status. The merged database allowed for patient evaluation throughout the care continuum on a multi-institutional level. Merging existing data is feasible, innovative, and has potential to impact care with minimal new resources.

SUBMITTER: Flynn-O'Brien KT

PROVIDER: S-EPMC6475528 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature

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Pediatric Trauma Assessment and Management Database: Leveraging Existing Data Systems to Predict Mortality and Functional Status after Pediatric Injury.

Flynn-O'Brien Katherine T KT Fallat Mary E ME Rice Tom B TB Gall Christine M CM Nance Michael L ML Upperman Jeffrey S JS Gourlay David M DM Crow John P JP Rivara Frederick P FP

Journal of the American College of Surgeons 20170222 5

<h4>Background</h4>Efforts to improve pediatric trauma outcomes need detailed data, optimally collected at lowest cost, to assess processes of care. We developed a novel database by merging 2 national data systems for 5 pediatric trauma centers to provide benchmarking metrics for mortality and non-mortality outcomes and to assess care provided throughout the care continuum.<h4>Study design</h4>Trauma registry and Virtual Pediatric Systems, LLC (VPS) from 5 pediatric trauma centers were merged fo ...[more]

PMID: 28235647

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Project description:IntroductionThe influence of reduced functional status has become increasingly relevant because of the gradual decline in mortality rate over the recent years. Nonetheless, only a few studies investigating the functional status of patients with trauma at hospital discharge have been conducted. This study aimed to identify the risk factors influencing the mortality rate in pediatric trauma survivors at a pediatric intensive care unit and analyze their functional status using the Functional Status Scale (FSS).MethodsA retrospective analysis was conducted at Shengjing Hospital of China Medical University. Children admitted to the pediatric intensive care unit between January 2015 and January 2020 who met the trauma diagnostic criteria were included. The FSS score and the Injury Severity Score (ISS) were recorded upon admission and discharge, respectively. Clinical data were compared between the survival and non-survival groups to identify the risk factors for poor prognosis. The risk factors for mortality were identified using multivariate and univariate analyses.ResultsA total of 246 children {59.8%, male; median [interquartile range (IQR)] age: 3 [1-7] years} were diagnosed with trauma (including head trauma, chest trauma, abdominal trauma, and extremity trauma). Of these patients, 207 were discharged, 11 dropped out mid-treatment, and 39 died (hospital mortality rate, 15.9%). Upon admission, the median FSS and trauma scores were 14 (IQR, 11-18) and 22 (IQR, 14-33) points, respectively. At discharge, the FSS score was 8 (IQR, 6-10) points. The patient clinical status improved with a ΔFSS score of -4 (IQR, -7, 0) points. At hospital discharge, 119 (48.3%), 47 (19.1%), 27 (11.0%), 12 (4.8%), and 2 (0.9%) survivors had good, mildly abnormal, moderately abnormal, severely abnormal, and very severely abnormal function, respectively. Reduced functional status in patients was categorized as follows: motor, 46.4%; feeding, 26.1%; sensory, 23.2%; mental, 18.4%; and communication, 17.9%. In the univariate analysis, ISS >25 points, shock, respiratory failure, and coma were independently associated with the mortality rate. Multivariate analysis revealed that the ISS was an independent risk factor for mortality.ConclusionThe mortality rate of patients with trauma was high. ISS was an independent risk factor for mortality. Mildly reduced functional status remained at discharge and was reported in nearly half of the discharged patients. Motor and feeding functions were the most severely impacted domains.

Project description:BackgroundPediatric trauma, particularly major trauma cases, are often treated in less than optimal facilities by providers who lack training and experience in treating severely injured children. We aimed to develop a management model for admission and treatment of pediatric trauma using the Theory of Constraints (TOC).MethodsWe conducted interviews with 17 highly experienced policy makers, senior nursing managers and medical managers in pediatrics and trauma. The interviews were analyzed by qualitative methods. The TOC was utilized to identify undesirable effects (UDEs) and core challenges, and to design a focused current reality tree (CRT). Subsequently, a management model for optimal admission and treatment of pediatric trauma was constructed.ResultsThe CRT was illustrated according to 4 identified UDEs focusing on lack of: (1) clear definitions of case manager in pediatric trauma; (2) uniform criteria regarding the appropriate site for admitting pediatric trauma, (3) standard guidelines and protocols for treatment of trauma cases and for training of trauma medical teams; and (4) standard guidelines for evacuating pediatric trauma patients. The management model for treatment and admission of pediatric trauma is based on 3 major elements: human resources, hospital policy concerning the appropriate emergency department (ED) for pediatric trauma patients and clear definitions regarding children and trauma levels. Each of the elements contains components that should be clearly defined in order for a medical center to be designated for admitting and treating pediatric trauma patients.ConclusionsOur analysis suggests that the optimal ED for pediatric trauma cases is one with available operating rooms, intensive care beds, an imaging unit, laboratories and equipment suitable for treating children as well as with staff trained to treat children with trauma. To achieve optimal outcomes, medical centers in Israel should be classified according to their trauma treatment capabilities and their ability to treat varied severities of pediatric trauma cases.

Dataset Information

Pediatric Trauma Assessment and Management Database: Leveraging Existing Data Systems to Predict Mortality and Functional Status after Pediatric Injury.

Publications

Pediatric Trauma Assessment and Management Database: Leveraging Existing Data Systems to Predict Mortality and Functional Status after Pediatric Injury.

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