Building communication between professionals at children\u27s specialty hospitals and the medical home

OBJECTIVE: Build a quality improvement (QI) intervention to improve communication between a children\u27s specialty hospital and referring primary care providers (PCPs). METHODS: A network of charitable children\u27s hospitals identified improving communication as a systemwide goal. At one model hospital, we used qualitative telephone interviewing of hospital specialists and staff, and referring PCPs, to characterize the communication system and identify potential improvements. We identified potential high-impact areas through content analysis and developed a QI change package with hospital leadership. RESULTS: Participants described inconsistent communication, with no systematic identification of PCPs. Families were the typical means of inter-physician communication. Multiple non-PCP referral sources were a major contributor to communication breakdowns. Respondents identified a system for identification and communication with PCPs as an essential first step. CONCLUSIONS: Systems for communication with PCPs are underdeveloped at a children\u27s charitable specialty hospital. Straightforward changes could build an effective system that is generalizable to other hospitals

Development and validation of a machine learning model to predict mortality risk in patients with COVID-19

Methods We developed a prediction model to predict patients at risk for mortality using only laboratory, vital and demographic information readily available in the electronic health record on more than 3395 hospital admissions with COVID-19. Multiple methods were applied, and final model was selected based on performance. A variable importance algorithm was used for interpretability, and understanding of performance and predictors was applied to the best model. We built a model with an area under the receiver operating characteristic curve of 83–97 to identify predictors and patients with high risk of mortality due to COVID-19. Oximetry, respirations, blood urea nitrogen, lymphocyte per cent, calcium, troponin and neutrophil percentage were important features, and key ranges were identified that contributed to a 50% increase in patients’ mortality prediction score. With an increasing negative predictive value starting 0.90 after the second day of admission suggests we might be able to more confidently identify likely survivorsDiscussion This study serves as a use case of a machine learning methods with visualisations to aide clinicians with a better understanding of the model and predictors of mortality.Conclusion As we continue to understand COVID-19, computer assisted algorithms might be able to improve the care of patients

Multisystem Inflammatory Syndrome in Children: Survey of Protocols for Early Hospital Evaluation and Management.

ObjectiveTo describe the similarities and differences in the evaluation and treatment of multisystem inflammatory syndrome in children (MIS-C) at hospitals in the US.Study designWe conducted a cross-sectional survey from June 16 to July 16, 2020, of US children's hospitals regarding protocols for management of patients with MIS-C. Elements included characteristics of the hospital, clinical definition of MIS-C, evaluation, treatment, and follow-up. We summarized key findings and compared results from centers in which >5 patients had been treated vs those in which ≤5 patients had been treated.ResultsIn all, 40 centers of varying size and experience with MIS-C participated in this protocol survey. Overall, 21 of 40 centers required only 1 day of fever for MIS-C to be considered. In the evaluation of patients, there was often a tiered approach. Intravenous immunoglobulin was the most widely recommended medication to treat MIS-C (98% of centers). Corticosteroids were listed in 93% of protocols primarily for moderate or severe cases. Aspirin was commonly recommended for mild cases, whereas heparin or low molecular weight heparin were to be used primarily in severe cases. In severe cases, anakinra and vasopressors frequently were recommended; 39 of 40 centers recommended follow-up with cardiology. There were similar findings between centers in which >5 patients vs ≤5 patients had been managed. Supplemental materials containing hospital protocols are provided.ConclusionsThere are many similarities yet key differences between hospital protocols for MIS-C. These findings can help healthcare providers learn from others regarding options for managing MIS-C

Evaluation of Tuberculosis Diagnostics in Children: 1. Proposed clinical case definitions for classification of Intrathoracic Tuberculosis Disease. Consensus from an expert panel

To access this article, click on "Additional Links"There is a critical need for improved diagnosis of tuberculosis in children, particularly in young children with intrathoracic disease as this represents the most common type of tuberculosis in children and the greatest diagnostic challenge. There is also a need for standardized clinical case definitions for the evaluation of diagnostics in prospective clinical research studies that include children in whom tuberculosis is suspected but not confirmed by culture of Mycobacterium tuberculosis. A panel representing a wide range of expertise and child tuberculosis research experience aimed to develop standardized clinical research case definitions for intrathoracic tuberculosis in children to enable harmonized evaluation of new tuberculosis diagnostic technologies in pediatric populations. Draft definitions and statements were proposed and circulated widely for feedback. An expert panel then considered each of the proposed definitions and statements relating to clinical definitions. Formal group consensus rules were established and consensus was reached for each statement. The definitions presented in this article are intended for use in clinical research to evaluate diagnostic assays and not for individual patient diagnosis or treatment decisions. A complementary article addresses methodological issues to consider for research of diagnostics in children with suspected tuberculosis