Publications by authors named "Jodi Bloxham"
Article Synopsis
- This study focused on understanding how common diagnostic uncertainty is when critically ill children are admitted to Pediatric Intensive Care Units (PICUs) and what factors contribute to it.
- Researchers reviewed medical records from 882 pediatric patients across four hospitals to assess the presence of diagnostic uncertainty at admission and how it changed by the time of discharge.
- Key findings indicated that 25.9% of patients showed diagnostic uncertainty upon PICU admission, with significant factors being the time of admission, illness severity, atypical symptoms, and discrepancies in diagnoses between different healthcare providers.
Objectives: Effective interventions to prevent diagnostic error among critically ill children should be informed by diagnostic error prevalence and etiologies. We aimed to determine the prevalence and characteristics of diagnostic errors and identify factors associated with error in patients admitted to the PICU.
Design: Multicenter retrospective cohort study using structured medical record review by trained clinicians using the Revised Safer Dx instrument to identify diagnostic error (defined as missed opportunities in diagnosis).
Objective: To determine the performance of risk assessment models that were developed for adults, in predicting venous thromboembolism (VTE) and bleeding in critically ill adolescents.
Study Design: We conducted a retrospective cohort study of adolescents 12 to 17 years old admitted to the pediatric intensive care unit who received cardiopulmonary support but did not have VTE on admission nor received anticoagulation. Discrimination, using areas under the receiver operating characteristic (AUROC) and precision-recall (AUPRC) curves, and calibration, using Hosmer-Lemeshow test, of the Geneva, Padua, IMPROVE VTE and IMPROVE Bleed models were calculated.
Introduction: We sought to investigate the predictors of catheter-related thrombosis (CRT) in a cohort of critically ill hospitalized infants and using a novel approach (the artificial neural network - ANN) in combination with conventional statistics to identify/confirm those predictors.
Methods: We performed a retrospective analysis of all infants with a central or peripherally inserted central venous catheter (CVC/PICC) between 2015 and 2018. ANN was generated to investigate the predictors of CRT.
Objectives: The use of peripherally inserted central catheters (PICCs) are an integral part of caring for hospitalised children. We sought to estimate the incidence of and identify the risk factors for complications associated with PICCs in an advanced registered nurse practitioners (ARNP)-driven programme.
Design: Retrospective cohort study.