Linking ambulance, emergency department and hospital admissions data: Understanding the emergency journey

J Crilly; J A O'Dwyer; M A O'Dwyer; J Lind; J A L Peters; V C Tippett; Marianne Wallis; N Bost; G Keijzers

doi:10.5694/j.1326-5377.2011.tb02941.x

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Linking ambulance, emergency department and hospital admissions data: Understanding the emergency journey

Journal article

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Linking ambulance, emergency department and hospital admissions data: Understanding the emergency journey

J Crilly, J A O'Dwyer, M A O'Dwyer, J Lind, J A L Peters, V C Tippett, Marianne Wallis, N Bost and G Keijzers

Medical Journal of Australia, Vol.194(4), pp.S34-S37

2011

DOI: https://doi.org/10.5694/j.1326-5377.2011.tb02941.x

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Abstract

Objective: To assess the accuracy of data linkage across the spectrum of emergency care in the absence of a unique patient identifier, and to use the linked data to examine service delivery outcomes in an emergency department (ED) setting. Design: Automated data linkage and manual data linkage were compared to determine their relative accuracy. Data were extracted from three separate health information systems: ambulance, ED and hospital inpatients, then linked to provide information about the emergency journey of each patient. The linking was done manually through physical review of records and automatically using a data linking tool (Health Data Integration) developed by the CSIRO (Commonwealth Scientific and Industrial Research Organisation). Match rate and quality of the linking were compared. Setting: 10 835 patient presentations to a large, regional teaching hospital ED over a 2-month period (August-September 2007). Results: Comparison of the manual and automated linkage outcomes for each pair of linked datasets demonstrated a sensitivity of between 95% and 99%; a specificity of between 75% and 99%; and a positive predictive value of between 88% and 95%. Conclusions: Our results indicate that automated linking provides a sound basis for health service analysis, even in the absence of a unique patient identifier. The use of an automated linking tool yields accurate data suitable for planning and service delivery purposes and enables the data to be linked regularly to examine service delivery outcomes.

Details

Title: Linking ambulance, emergency department and hospital admissions data: Understanding the emergency journey
Authors: J Crilly (Author) - Gold Coast Hospital
J A O'Dwyer (Author) - CSIRO ICT Centre, Brisbane
M A O'Dwyer (Author) - CSIRO ICT Centre, Brisbane
J Lind (Author) - Gold Coast Hospital
J A L Peters (Author) - Gold Coast Hospital
V C Tippett (Author) - University of Queensland
Marianne Wallis (Author) - Griffith University
N Bost (Author) - Gold Coast Hospital
G Keijzers (Author) - Bond University
Publication details: Medical Journal of Australia, Vol.194(4), pp.S34-S37
Publisher: Australasian Medical Publishing Company Pty. Ltd.
Date published: 2011
DOI: 10.5694/j.1326-5377.2011.tb02941.x
ISSN: 0025-729X
Copyright note: Crilly JL, O'Dwyer JA O'Dwyer MA, et al. Linking ambulance, emergency department and hospital admissions data: understanding the emergency journey. Med J Aust 2011; 194 (4): S34-S37. © Copyright 2004. The Medical Journal of Australia - reproduced with permission.
Organisation Unit: University of the Sunshine Coast, Queensland; School of Nursing, Midwifery and Paramedicine - Legacy
Language: English
Record Identifier: 99450489702621
Output Type: Journal article

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