Literature DB >> 9107328

A truncated E-code system for injury surveillance in the emergency department: description and clinometric testing.

G W Bota1, S A Therrien, B H Rowe.   

Abstract

OBJECTIVES: ED injury surveillance requires accurate information about mechanism. This study explored the clinometric properties of an E-code system specifically designed to track ED injuries.
METHODS: All patients assessed in the ED had cause-of-injury information documented using a truncated E-code system. Patient records were hand-searched to determine coding compliance. A selection of 98 charts (50 injury/48 noninjury) were coded by 7 physicians, 2 nurses, and 2 nosologists. Agreements (interrater and intrarater) on the diagnosis of trauma and exact E-codes were determined (using kappa; kappa).
RESULTS: E-coding compliance was high (overall 90%: 95% CI: 85-93%), and accuracy of injury classification was 99%. Compared with an expert's coding, agreement on injury classification was excellent for physicians (kappa = 0.91; 95% CI: 0.80-1.0), nurses (kappa = 0.88; 95% CI: 0.75-1.0), and nosologists (kappa = 0.92; 95% CI: 0.81-1.0). Agreement was substantial for the exact E-codes between physicians (kappa = 0.77; 95% CI: 0.60-0.94) and nurses (kappa = 0.72; 95% CI: 0.54-0.90). Recode reliability was also excellent for physicians (kappa = 0.88; 95% CI: 0.75-1.0) and nurses (kappa = 0.96; 95% CI: 0.88-1.0).
CONCLUSIONS: Injury coding using a truncated E-code system can provide valid and reliable data from the ED. Differences between nurses, physicians, and nosologists in the ability to accurately code using this system were minimal, thus eliminating the need for additional staff and resources.

Entities:  

Mesh:

Year:  1997        PMID: 9107328     DOI: 10.1111/j.1553-2712.1997.tb03551.x

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  2 in total

1.  Detecting Suicide-Related Emergency Department Visits Among Adults Using the District of Columbia Syndromic Surveillance System.

Authors:  S Janet Kuramoto-Crawford; Erica L Spies; John Davies-Cole
Journal:  Public Health Rep       Date:  2017 Jul/Aug       Impact factor: 2.792

2.  Unspecified falls among youth: predictors of coding specificity in the emergency department.

Authors:  A K Kaida; J Marko; B Hagel; P Lightfoot; W Sevcik; B H Rowe
Journal:  Inj Prev       Date:  2006-10       Impact factor: 2.399

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.