作者
Rebecca Brundin-Mather, Andrea Soo, Danny J Zuege, Daniel J Niven, Kirsten Fiest, Christopher J Doig, David Zygun, Jamie M Boyd, Jeanna Parsons Leigh, Sean M Bagshaw, Henry T Stelfox
发表日期
2018/10/1
期刊
Journal of critical care
卷号
47
页码范围
295-301
出版商
WB Saunders
简介
Purpose
This study measured the quality of data extracted from a clinical information system widely used for critical care quality improvement and research.
Materials and methods
We abstracted data from 30 fields in a random sample of 207 patients admitted to nine adult, medical-surgical intensive care units. We assessed concordance between data collected: (1) manually from the bedside system (eCritical MetaVision) by trained auditors, and (2) electronically from the system data warehouse (eCritical TRACER). Agreement was assessed using Cohen's Kappa for categorical variables and intraclass correlation coefficient (ICC) for continuous variables.
Results
Concordance between data sets was excellent. There was perfect agreement for 11/30 variables (35%). The median Kappa score for the 16 categorical variables was 0.99 (IQR 0.92–1.00). APACHE II had an ICC of 0.936 (0.898–0.960). The lowest …
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