Identification by families of pediatric adverse events and near misses overlooked by health care providers.

BACKGROUND: Identifying adverse events and near misses is essential to improving safety in the health care system. Patients are capable of reliably identifying and reporting adverse events. The effect of a patient safety reporting system used by families of pediatric inpatients on reporting of adverse events by health care providers has not previously been investigated. METHODS: Between Nov. 1, 2008, and Nov. 30, 2009, families of children discharged from a single ward of British Columbia's Children's Hospital were asked to respond to a questionnaire about adverse events and near misses during the hospital stay. Rates of reporting by health care providers for this period were compared with rates for the previous year. Family reports for specific incidents were matched with reports by health care providers to determine overlap. RESULTS: A total of 544 familes responded to the questionnaire. The estimated absolute increase in reports by health care providers per 100 admissions was 0.5% (95% confidence interval -1.8% to 2.7%). A total of 321 events were identified in 201 of the 544 family reports. Of these, 153 (48%) were determined to represent legitimate patient safety concerns. Only 8 (2.5%) of the adverse events reported by families were also reported by health care providers. INTERPRETATION: The introduction of a family-based system for reporting adverse events involving pediatric inpatients, administered at the time of discharge, did not change rates of reporting of adverse events and near misses by health care providers. Most reports submitted by families were not duplicated in the reporting system for health care providers, which suggests that families and staff members view safety-related events differently. However, almost half of the family reports represented legitimate patient safety concerns. Families appeared capable of providing valuable information for improving the safety of pediatric inpatients.

An evaluation of a novel software tool for detecting changes in physiological monitoring.

BACKGROUND: We have developed a software tool (iAssist) to assist clinicians as they monitor the physiological data that guide their actions during anesthesia. The system tracks the statistical properties of multiple dynamic physiological processes and identifies new trend patterns. We report our initial evaluation of this tool (in pseudo real-time) and compare the detection of trend changes to a post hoc visual review of the full trend. We suggest a combination of criteria by which to evaluate the performance of monitoring devices that aim to enhance trend detection. METHODS: Nineteen children and 28 adults consented to be included in the study, encompassing more than 68 h of anesthesia. In each surgical case, an anesthesiologist reported all perceived clinical changes in monitoring in real-time. A trained observer simultaneously documented the verbally reported changes and every anesthesiologist action. The same cases were subsequently evaluated offline (in pseudo real-time) by a novel software tool (iAssist). Heart rate, end-tidal carbon dioxide, exhaled minute ventilation, and respiratory rate were modeled using a dynamic linear growth model whose noise distribution was estimated by an adaptive Kalman filter based on a recursive expectation-maximization method. Changes were detected by adaptive local Cumulative Sum testing. Changes in the mean arterial noninvasive blood pressures and oxygen saturation were detected using adaptive Cumulative Sum testing on a filtered residual from an exponentially weighted moving averaging filter. In post hoc analysis, each change detected by iAssist was graded independently by two clinicians using a graphical display of the whole case. Missed changes were recorded. RESULTS: The iAssist software tool detected 869 true positive changes (at an average of 12.76/h) with a sensitivity of 0.91 and positive predictive value of 0.87. The post hoc review identified 91 missed changes (at an average of 1.34/h), resulting in an overall ratio of true positive rates to false-negative rates of 9.55. The clinicians in real-time reported 209 changes in trend (at an average of 3.07/h). CONCLUSION: The algorithms perform favorably compared with a visual inspection of the complete trend. Further research is needed to identify when and how to draw the clinician's attention to these changes.

Introduction of new monitors into clinical anesthesia.

PURPOSE OF REVIEW: There are an increasing number of monitors being developed to measure physiological parameters during the perioperative period. This review provides an overview of some of these new monitors developed for use in clinical anesthesia and outlines the potential advantages of each device. Pitfalls concerning the introduction of additional monitoring devices and the research gaps for introducing these monitors into clinical practice are discussed. RECENT FINDINGS: Many novel monitoring technologies have been developed, with invasive and noninvasive cardiac output monitoring devices and advanced display technologies being especially prominent. Most of the published literature focuses on monitor efficacy, whereas issues of technology integration and acceptability are given less emphasis. Research on novel display technologies is not integrated with the monitor development, nor is the display of new information considered during the development of new monitors. SUMMARY: More research is needed on how to integrate the newly developed monitors into the clinical context to assist information-overloaded anesthesiologists. This is essential to achieve the potential benefit of new monitoring devices.

A human factors and survey methodology-based design of a web-based adverse event reporting system for families.

PURPOSE: Adverse event reporting systems allow healthcare institutions to detect and prevent recurrence of avoidable patient harm. It is known that standard reporting systems, which are initiated by clinicians, detect only a minority of chart-documented adverse events. The objective of the study was to develop a web-based system, the Family Reporting System (FRS), to elicit adverse event reports from families of children admitted to hospital through survey methodology and human factors engineering techniques. MEASUREMENTS: Face validity and usability were measured via standardized survey instruments. Utility was measured via the rate, typology, degree of harm, likelihood of recurrence, quality of information, and inter-rater agreement analysis of the reported events. RESULTS: The FRS has good face validity, excellent usability, and good clinical utility. CONCLUSION: The application of survey and human factors methodologies to the design of an electronic system is an effective means of developing an electronic adverse event reporting system for the use of families of pediatric patients.