Clinical Decision Support in the PICU: Implications for Design and Evaluation.

OBJECTIVES: To assess the current landscape of clinical decision support (CDS) tools in PICUs in order to identify priority areas of focus in this field. DESIGN: International, quantitative, cross-sectional survey. SETTING: Role-specific, web-based survey administered in November and December 2020. SUBJECTS: Medical directors, bedside nurses, attending physicians, and residents/advanced practice providers at Pediatric Acute Lung Injury and Sepsis Network-affiliated PICUs. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The survey was completed by 109 respondents from 45 institutions, primarily attending physicians from university-affiliated PICUs in the United States. The most commonly used CDS tools were people-based resources (93% used always or most of the time) and laboratory result highlighting (86%), with order sets, order-based alerts, and other electronic CDS tools also used frequently. The most important goal providers endorsed for CDS tools were a proven impact on patient safety and an evidence base for their use. Negative perceptions of CDS included concerns about diminished critical thinking and the burden of intrusive processes on providers. Routine assessment of existing CDS was rare, with infrequent reported use of observation to assess CDS impact on workflows or measures of individual alert burden. CONCLUSIONS: Although providers share some consensus over CDS utility, we identified specific priority areas of research focus. Consensus across practitioners exists around the importance of evidence-based CDS tools having a proven impact on patient safety. Despite broad presence of CDS tools in PICUs, practitioners continue to view them as intrusive and with concern for diminished critical thinking. Deimplementing ineffective CDS may mitigate this burden, though postimplementation evaluation of CDS is rare.

Relationship between pediatric intensive care unit length of stay and 24-h unplanned readmission rate.

OBJECTIVE: To evaluate the relationship between pediatric intensive care unit (PICU) severity-adjusted length of stay (LOS) and 24-h unplanned readmission rate. DATA SOURCE: Data were obtained from a 10-year cohort from 2009 to 2018 from the Virtual Pediatric Systems (VPS, LLC) database. STUDY DESIGN: In this retrospective study, standardized LOS ratio was computed for each PICU as the ratio of the sum of actual LOS divided by the predicted LOS for each PICU using VPS predictive LOS model. Correlation between standardized LOS ratios and 24-h unplanned readmission rates were computed using Pearson's correlation coefficient. PRINCIPAL FINDINGS: There was practically no relationship between standardized LOS ratio and 24-h readmission rate (R2  = 0.05). DATA COLLECTION/EXTRACTION METHODS: Not Applicable. CONCLUSIONS: Severity-adjusted LOS has no relationship with 24-h unplanned readmission rate. These findings suggest that the relationship between PICU severity-adjusted LOS and 24-h unplanned readmission rate should not be used as a balancing quality measure.