Automated adverse event detection collaborative: electronic adverse event identification, classification, and corrective actions across academic pediatric institutions.

BACKGROUND: Historically, the gold standard for detecting medical errors has been the voluntary incident reporting system. Voluntary reporting rates significantly underestimate the number of actual adverse events in any given organization. The electronic health record (EHR) contains clinical and administrative data that may indicate the occurrence of an adverse event and can be used to detect adverse events that may otherwise remain unrecognized. Automated adverse event detection has been shown to be efficient and cost effective in the hospital setting. The Automated Adverse Event Detection Collaborative (AAEDC) is a group of academic pediatric organizations working to identify optimal electronic methods of adverse event detection. The Collaborative seeks to aggregate and analyze data around adverse events as well as identify and share specific intervention strategies to reduce the rate of such events, ultimately to deliver higher quality and safer care. The objective of this study is to describe the process of automated adverse event detection, report early results from the Collaborative, identify commonalities and notable differences between 2 organizations, and suggest future directions for the Collaborative. METHODS: In this retrospective observational study, the implementation and use of an automated adverse event detection system was compared between 2 academic children's hospital participants in the AAEDC, Children's National Medical Center, and Cincinnati Children's Hospital Medical Center. Both organizations use the EHR to identify potential adverse events as designated by specific electronic data triggers. After gathering the electronic data, a clinical investigator at each hospital manually examined the patient record to determine whether an adverse event had occurred, whether the event was preventable, and the level of harm involved. RESULTS: The Automated Adverse Event Detection Collaborative data from the 2 organizations between July 2006 and October 2010 were analyzed. Adverse event triggers associated with opioid and benzodiazepine toxicity and intravenous infiltration had the greatest positive predictive value (range, 47%- 96%). Triggers associated with hypoglycemia, coagulation disturbances, and renal dysfunction also had good positive predictive values (range, 22%-74%). In combination, the 2 organizations detected 3,264 adverse events, and 1,870 (57.3%) of these were preventable. Of these 3,264 events, clinicians submitted only 492 voluntary incident reports (15.1%). CONCLUSIONS: This work demonstrates the value of EHR-derived data aggregation and analysis in the detection and understanding of adverse events. Comparison and selection of optimal electronic trigger methods and recognition of adverse event trends within and between organizations are beneficial. Automated detection of adverse events likely contributes to the discovery of opportunities, expeditious implementation of process redesign, and quality improvement.

Measuring adverse events and levels of harm in pediatric inpatients with the Global Trigger Tool.

OBJECTIVES: To evaluate and characterize the Global Trigger Tool's (GTT's) utility in a pediatric population; to measure the rate of harm at our institution and compare it with previously established trigger tools and benchmark rates; and to describe the distribution of harm of the detected events. METHODS: Per the GTT methodology, 240 random inpatient charts were retrospectively reviewed over a 12-month pilot period for the presence of 53 predefined safety triggers. When triggers were detected, the reviewers investigated the chart more thoroughly to decide whether an adverse event occurred. Agreement with a physician reviewer was then reached, and a level of harm was assigned. RESULTS: A total of 404 triggers were detected (1.7 triggers per patient), and 88 adverse events were identified. Rates of 36.7 adverse events per 100 admissions and 76.3 adverse events per 1000 patient-days were calculated. Sixty-two patients (25.8%) had at least 1 adverse event during their hospitalization, and 18 (7.5%) had >1 event identified. Three-quarters of the events were category E (temporary harm). Two events required intervention to sustain life (category H). Two of the 6 trigger modules identified 95% of the adverse events. CONCLUSIONS: The GTT demonstrated utility in the pediatric inpatient setting. With the use of the trigger tool, we identified a rate of harm 2 to 3 times higher than previously published pediatric rates. Modifications to the trigger tool to address pediatric-specific issues could increase the test characteristics of the tool.

Reduction in hypoglycemic events in critically ill patients on continuous insulin following implementation of a treatment guideline.

BACKGROUND: Hyperglycemia is common in critically ill children and appears to be associated with poor outcomes. However, the incidence of hypoglycemia while attempting glycemic control using an insulin infusion may be as high as 25% and hypoglycemia may be an independent risk factor for mortality in critically ill children. METHODS: An improvement team developed a guideline for initiation and maintenance of insulin infusions for hyperglycemia in critically ill, nondiabetic patients in the pediatric intensive care unit. The guideline included an insulin infusion algorithm that provided an initiating dose, titration instructions, and discontinuation parameters. Guideline recommendations addressed the frequency of bedside blood glucose monitoring and management of symptomatic hypoglycemia while on insulin infusion. The guideline was implemented in late January 2007 and revised in September 2007. RESULTS: Hypoglycemic events in at-risk patients decreased significantly following implementation of the guideline, from 36% to 3%, despite an increase in the total number of patient days on insulin infusion. The average days between hypoglycemic events increased from 21 to 186. CONCLUSIONS: Implementation of a guideline to manage critical illness hyperglycemia in nondiabetic, critically ill pediatric patients resulted in a reduction in hypoglycemic events and a sustained increase in the days between such events.

Quality improvement project to reduce perioperative opioid oversedation events in a paediatric hospital.

BACKGROUND: Narcotics are responsible for many adverse drug events in children and there has been an increase in opioid oversedation events in hospitalised patients. OBJECTIVES: To use improvement methods to prevent perioperative opioid oversedation adverse events while continuing to provide appropriate pain control. METHODS: Interventions included revising the post-anaesthesia order form so that prescribers could choose only one narcotic and one dose for moderate pain and one narcotic and one dose for severe pain, modifying a nursing tool to provide more objective criteria for assessing patient sedation level, and restructuring the pain service. Clinicians on the Acute Pain Service saw all postoperative patients receiving intravenous patient-controlled analgesia or neuraxial narcotics in the mornings and afternoons and a nurse saw them on weekday evenings. RESULTS: The rate of opioid-related oversedation events decreased from 0.15 per 1000 patient days at baseline to 0.111 during the intervention period to 0.074 in the post-intervention period. The days between events increased from 21.0 to 27.5 to 48.8 during the same periods. The number of opioid-related oversedation events decreased from 22 to 17 to 5 during these periods, respectively. CONCLUSIONS: Opioid-related oversedation events decreased over the course of the study. Because the perioperative period is an especially likely time for opioid oversedation events, strict opioid prescribing practices, while maintaining adequate pain control and improved sedation assessment during the perioperative period, were emphasised. The restructured pain service and increased visits by pain team experts were also associated with the reduction in oversedation events.