Validation and Refinement of a Prediction Rule to Identify Children at Low Risk for Acute Appendicitis

Accuracy of clinician gestalt in diagnosing appendicitis in children presenting to the emergency department

“…The present study demonstrates the frequency of paediatric appendicitis in Australian ED is consistent with recent literature and ED clinician gestalt in diagnosing acute appendicitis is comparable to the published diagnostic accuracy of various clinical scoring systems . There was a trend towards a non‐significant decrease in AUC of clinician gestalt with increasing seniority; however, given the wide overlap in CI it is unclear whether this is a real phenomenon.…”

Effect of Clinical Decision Support on Diagnostic Imaging for Pediatric Appendicitis

“…Improved capture of these patients may have increased the generalizability of our results but would also have resulted in a lower rate of appendicitis. The clinical characteristics of our enrolled population were consistent with prior publications describing children with acute abdominal pain . Regardless, our findings demonstrated the challenges we faced trying to evaluate and improve care for children in community-based general EDs.…”

“…The clinical characteristics of our enrolled population were consistent with prior publications describing children with acute abdominal pain. 15 , 21 , 37 Regardless, our findings demonstrated the challenges we faced trying to evaluate and improve care for children in community-based general EDs. Barriers to CDS systems adherence may be amplified in settings where children are only a fraction of the patient population, and thus, alerts to complete CDS screening questions were infrequent.…”

Prediction of acute appendicitis among patients with undifferentiated abdominal pain at emergency department

“…Since the prediction model is based on whether patients with ED will eventually be diagnosed with AA, the prediction model can not only predict AA, but also help doctors, nurses and triage personnel to choose more helpful examination items in advance, so as to make more efficient use of medical resources. Previous studies have shown that because the ED is a critical staging area for critically ill patients, developing more efficient tools to avoid overcrowding and increase the efficiency of the use of healthcare resources in the ED and ultimately improve the quality of care and health outcomes for ED patients [48][49][50]. The prediction model developed in our study for adults and pediatric ED patients with diagnosed appendicitis is consistent with the goal of establishing a better decision system in ED [51,52].…”