Why the study?
Adverse event detection after outpatient orthopedic surgery is understudied and traditional methods like self-reporting have low sensitivity, missing up to 90% of adverse events.
Does the use of EHR-based triggers improve the detection of adverse events compared to self-reporting in patients after outpatient orthopedic surgery?
Does the use of EHR-based triggers improve the detection of adverse events compared to self-reporting in patients after outpatient orthopedic surgery?
EHR-based triggers may serve as a more sensitive alternative to self-reporting for detecting adverse events after outpatient orthopedic surgery.
Current AE detection methods miss most events after outpatient orthopedic surgery; leaves open the value of trigger-based surveillance in this setting.
Literature on adverse events (AEs) after outpatient orthopedic surgery is relatively sparse, and efforts to detect, measure, and track AEs after outpatient surgery lag behind those for the inpatient setting. Detection of AEs has traditionally relied on patient safety indicators (from billing data) and self-reporting, but these methods have been shown to have low sensitivity, missing up to 90% of AEs. There is growing recognition that the trigger method, which uses “triggers” as red flags to initiate more detailed chart audits, can serve as a more sensitive alternative to detect AEs. Moreover, the recent widespread adoption of electronic health records (EHRs) can provide faster automated methods for identifying triggers and estimating AE rates. This study evaluates the ability of 6 separate EHR-based triggers to predict AEs after outpatient orthopedic surgery and compares this trigger method with AE self-reporting. Triggers have the potential to decrease postoperative morbidity after outpatient orthopedic surgery and may lead to quality improvement. Further research is needed to qualify triggers as screening tools in the outpatient setting. [ Orthopedics . 2022;45(2):116–121.]
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Calem et al. (2022) studied this question.
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