1. Improving injury surveillance data quality: a study based on hospitals contributing to the Victorian Emergency Minimum Dataset
- Author
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Dianne M. Sheppard, Jane Hayman, Trevor J. Allen, and Janneke Berecki‐Gisolf
- Subjects
injury prevention ,injury surveillance ,data quality ,protocol ,emergency department ,Public aspects of medicine ,RA1-1270 - Abstract
Abstract Objective: In this paper, we describe the design and baseline data of a study aimed at improving injury surveillance data quality of hospitals contributing to the Victorian Emergency Minimum Dataset (VEMD). Methods: The sequential study phases include a baseline analysis of data quality, direct engagement and communication with each of the emergency department (ED) hospital sites, collection of survey and interview data and ongoing monitoring. Results: In 2019/20, there were 371,683 injury‐related ED presentations recorded in the VEMD. Percentage unspecified, the indicator of (poor) data quality, was lowest for ‘body region’ (2.7%) and ‘injury type’ (7.4%), and highest for ‘activity when injured’ (29.4%). In the latter, contributing hospitals ranged from 3.0–99.9% unspecified. The ‘description of event’ variable had a mean word count of 10; 16/38 hospitals had a narrative word count of
- Published
- 2022
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