Literature DB >> 17321199

Prospective evaluation of the MET-AP system providing triage plans for acute pediatric abdominal pain.

Ken J Farion1, Wojtek Michalowski, Steven Rubin, Szymon Wilk, Rhonda Correll, Isabelle Gaboury.   

Abstract

BACKGROUND: Children with acute abdominal pain (AP) are frequently assessed in the Emergency Department (ED). Though the majority of patients have benign causes, uncertainty during the physician's initial assessment may result in unnecessary tests and prolonged observation before a definitive disposition decision can be made. A rule-based mobile clinical decision support system, Mobile Emergency Triage-Abdominal Pain (MET-AP), has been developed to recommend an appropriate triage plan (discharge, consult surgery or observe/investigate) early in the ED visit, with the goal of promoting ED efficiencies and improved patient outcomes.
OBJECTIVE: To prospectively evaluate the accuracy of MET-AP to recommend the correct triage plan when used during the initial assessment by staff emergency physicians (EPs) and residents in a tertiary care pediatric ED.
DESIGN: Prospective cohort study. Staff EPs and/or residents examined children, aged 1-16 years, with acute, non-traumatic AP of less than 10 days duration. Details of their initial assessment, along with their blinded prediction of the correct triage plan, were recorded electronically. Inter-observer assessments were collected, where possible. Telephone and chart follow-up at 10-14 days was conducted to determine the patient's outcome/diagnosis, and thus the gold standard triage plan appropriate for the patient's visit. MEASUREMENTS: Accuracy of MET-AP to recommend the correct triage plan (i.e., to match the gold standard plan); accuracy of physicians to predict the correct triage plan; inter-observer agreement between staff EPs and residents for each clinical attribute recorded within MET-AP.
RESULTS: Over 8 months, 574 patients with AP completed follow-up (10% appendicitis, 13% other pathology, 77% benign/resolving conditions). For patient assessments by the staff EP (n=457), the MET-AP recommendation was correct for 72% of patients (95% CI's: 67.9-76.1), while the physician's prediction was correct in 70% of cases (65.9-74.2) (p=0.518). However, staff EP triage plans were more conservative than those generated by MET-AP, and a small number of patients whose triage plan should have been "consult surgery" would have been "discharged" by MET-AP. For resident assessments (n=339), MET-AP and physician accuracies were slightly lower, but not statistically different from staff results or from each other. Inter-observer agreement on most attributes was moderate to near perfect.
CONCLUSION: MET-AP shows promise in recommending the correct triage plan with similar overall accuracy to experienced pediatric EPs, but requires further research to improve accuracy and safety. MET-AP can be used on all pediatric ED patients with AP and is capable of producing a triage plan recommendation without requiring a complete set of patient information.

Entities:  

Mesh:

Year:  2007        PMID: 17321199     DOI: 10.1016/j.ijmedinf.2007.01.004

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  6 in total

1.  Implementing an integrative multi-agent clinical decision support system with open source software.

Authors:  Jelber Sayyad Shirabad; Szymon Wilk; Wojtek Michalowski; Ken Farion
Journal:  J Med Syst       Date:  2010-03-18       Impact factor: 4.460

Review 2.  Evolution and challenges in the design of computational systems for triage assistance.

Authors:  María M Abad-Grau; Jorge Ierache; Claudio Cervino; Paola Sebastiani
Journal:  J Biomed Inform       Date:  2008-02-05       Impact factor: 6.317

Review 3.  Clinical decision support for colon and rectal surgery: an overview.

Authors:  Allison B McCoy; Genevieve B Melton; Adam Wright; Dean F Sittig
Journal:  Clin Colon Rectal Surg       Date:  2013-03

4.  Pilot evaluation of sensitive data segmentation technology for privacy.

Authors:  Adela Grando; Davide Sottara; Ripudaman Singh; Anita Murcko; Hiral Soni; Tianyu Tang; Nassim Idouraine; Michael Todd; Mike Mote; Darwyn Chern; Christy Dye; Mary Jo Whitfield
Journal:  Int J Med Inform       Date:  2020-03-19       Impact factor: 4.046

5.  Managing an emergency department by analysing HIS medical data: a focus on elderly patient clinical pathways.

Authors:  Delphine Rossille; Marc Cuggia; Aude Arnault; Jacques Bouget; Pierre Le Beux
Journal:  Health Care Manag Sci       Date:  2008-06

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

Authors:  Dai Su; Qinmengge Li; Tao Zhang; Philip Veliz; Yingchun Chen; Kevin He; Prashant Mahajan; Xingyu Zhang
Journal:  BMC Med Res Methodol       Date:  2022-01-14       Impact factor: 4.615

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.