Citation

Sheppard DM, Hayman J, Allen TJ, Berecki-Gisolf J. Aust. N. Zeal. J. Public Health 2022; ePub(ePub): ePub.

Copyright

(Copyright © 2022, Public Health Association of Australia, Publisher John Wiley and Sons)

DOI

10.1111/1753-6405.13200

PMID

35238429

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 <5.

CONCLUSIONS: Baseline hospital injury surveillance data vary vastly in data quality, leaving much room for improvement and justifying intervention as described. Implications for public health: Hospital engagement and feedback described in this study is expected to have a marked effect on data quality from 2021 onwards. This will ensure that Victorian injury surveillance data can fulfil their purpose to accurately inform injury prevention policy and practice.

Language: en

Keywords

injury prevention; emergency department; injury surveillance; data quality; protocol