Publications (2)7.6 Total impact
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Article: Prevalence of adverse events in pediatric intensive care units in the United States.
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ABSTRACT: Selection of relevant patient safety interventions for the pediatric intensive care (PICU) requires identification of the types and severity of adverse events (AEs) and adverse drug events (ADEs) that occur in this setting. The study's objectives were to: 1) determine the rates of AEs/ADEs, including types, severity, and preventability, in PICU patients; 2) identify population characteristics associated with increased risk of AEs/ADEs; 3) develop and test a PICU specific trigger tool to facilitate identification of AEs/ADEs. Retrospective, cross-sectional, randomized review of 734 patient records who were discharged from 15 U.S. PICUs between September and December 2005. A novel PICU-focused trigger tool for AE/ADE detection. Sixty-two percent of PICU patients had at least one AE. A total of 1488 AEs, including 256 ADEs, were identified. This translates to a rate of 28.6 AEs and 4.9 ADEs per 100 patient-days. The most common types of AEs were catheter complications, uncontrolled pain, and endotracheal tube malposition. Ten percent of AEs were classified as life-threatening or permanent; 45% were deemed preventable. Higher adjusted rates of AEs were found in surgical patients (p = .02), patients intubated at some point during their PICU stay (p = .002), and patients who died (p < .001). Surgical patients had higher preventable adjusted AE (p = .01) and ADE rates (p = .02). The adjusted cumulative risk of an AE per PICU day was 5.3% and 1.6% for an ADE alone. There was a 4% increase in adjusted ADEs rates for every year increase in age. AEs and ADEs occur frequently in the PICU setting. These data provide areas of focus for evidence-based prevention strategies to decrease the substantial risk to this vulnerable pediatric population.Pediatric Critical Care Medicine 03/2010; 11(5):568-78. · 3.13 Impact Factor -
Article: Adverse events in the neonatal intensive care unit: development, testing, and findings of an NICU-focused trigger tool to identify harm in North American NICUs.
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ABSTRACT: Currently there are few practical methods to identify and measure harm to hospitalized children. Patients in NICUs are at high risk and warrant a detailed assessment of harm to guide patient safety efforts. The purpose of this work was to develop a NICU-focused tool for adverse event detection and to describe the incidence of adverse events in NICUs identified by this tool. A NICU-focused trigger tool for adverse event detection was developed and tested. Fifty patients from each site with a minimum 2-day NICU stay were randomly selected. All adverse events identified using the trigger tool were evaluated for severity, preventability, ability to mitigate, ability to identify the event earlier, and presence of associated occurrence report. Each trigger, and the entire tool, was evaluated for positive predictive value. Study chart reviewers, in aggregate, identified 88.0% of all potential triggers and 92.4% of all potential adverse events. Review of 749 randomly selected charts from 15 NICUs revealed 2218 triggers or 2.96 per patient, and 554 unique adverse events or 0.74 per patient. The positive predictive value of the trigger tool was 0.38. Adverse event rates were higher for patients <28 weeks' gestation and <1500 g birth weight. Fifty-six percent of all adverse events were deemed preventable; 16% could have been identified earlier, and 6% could have been mitigated more effectively. Only 8% of adverse events were identified in existing hospital-based occurrence reports. The most common adverse events identified were nosocomial infections, catheter infiltrates, and abnormal cranial imaging. Adverse event rates in the NICU setting are substantially higher than previously described. Many adverse events resulted in permanent harm and the majority were classified as preventable. Only 8% were identified using traditional voluntary reporting methods. Our NICU-focused trigger tool appears efficient and effective at identifying adverse events.PEDIATRICS 10/2006; 118(4):1332-40. · 4.47 Impact Factor