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Vallmuur K, McCreanor V, Cameron C, et al. Three Es of linked injury data: Episodes, Encounters and Events. Inj Prev. 2021;27(5):479-489doi: 10.1136/injuryprev-2020-044098.
Vallmuur, K., McCreanor, V., Cameron, C., Watson, A., Shibl, R., Banu, S., McPhail, S. M., & Warren, J. (2021). Three Es of linked injury data: Episodes, Encounters and Events. Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention, 27(5), 479-489. https://doi.org/10.1136/injuryprev-2020-044098
Vallmuur, Kirsten, et al. "Three Es of linked injury data: Episodes, Encounters and Events." Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention vol. 27,5 (2021): 479-489. doi: https://doi.org/10.1136/injuryprev-2020-044098
Vallmuur K, McCreanor V, Cameron C, Watson A, Shibl R, Banu S, McPhail SM, Warren J. Three Es of linked injury data: Episodes, Encounters and Events. Inj Prev. 2021 Oct;27(5):479-489. doi: 10.1136/injuryprev-2020-044098. Epub 2021 Apr 28. PMID: 33910970.
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Inj Prev. 2021 Oct;27(5):479-489. doi: 10.1136/injuryprev-2020-044098. Epub 2021 Apr 28.

Three Es of linked injury data: Episodes, Encounters and Events.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention

Kirsten Vallmuur, Victoria McCreanor, Cate Cameron, Angela Watson, Rania Shibl, Shahera Banu, Steven M McPhail, Jacelle Warren

Affiliations

  1. Centre for Healthcare Transformation, Australian Centre for Health Services Innovation (AusHSI), Queensland University of Technology, Brisbane, Queensland, Australia [email protected].
  2. Jamieson Trauma Institute, Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service, Herston, Queensland, Australia.
  3. Centre for Healthcare Transformation, Australian Centre for Health Services Innovation (AusHSI), Queensland University of Technology, Brisbane, Queensland, Australia.
  4. Centre for Accident Research and Road Safety-Queensland, School of Psychology and Counselling, Queensland University of Technology Faculty of Health, Kelvin Grove, Queensland, Australia.
  5. School of Science Technology and Engineering, University of the Sunshine Coast Engineering and Science, Petrie, Queensland, Australia.
  6. School of Clinical Science, Queensland University of Technology Faculty of Health, Kelvin Grove, Queensland, Australia.
  7. Clinical Informatics Directorate, Metro South Hospital and Health Service, Woolloongabba, Queensland, Australia.

PMID: 33910970 DOI: 10.1136/injuryprev-2020-044098

Abstract

BACKGROUND: Treatment and recovery times following injury can be lengthy, comprising multiple interactions with the hospital system for initial acute care, subsequent rehabilitation and possible re-presentation due to complications.

AIMS: This article aims to promote the use of consistent terminology in injury data linkage studies, suggest important factors to consider when managing linked injury data, and encourage thorough documentation and a robust discourse around different approaches to data management to ensure reproducibility, consistency and comparability of analyses arising from linked injury data.

APPROACH: This paper is presented in sections describing: (1) considerations for identifying injury cohorts, (2) considerations for grouping Episodes into Encounters and (3) considerations for grouping Encounters into Events. Summary tools are provided to aid researchers in the management of linked injury data.

DISCUSSION: Careful consideration of decisions made when identifying injury cohorts and grouping data into units of analysis (Episodes/Encounters/Events) is essential when using linked injury data. Choices made have the potential to significantly impact the epidemiological and clinical findings derived from linked injury data studies, which ultimately affect the quality of injury prevention initiatives and injury management policy and practice. It is intended that this paper will act as a call to action for injury linkage methodologists, and those using linked data, to critique approaches, share tools and engage in a robust discourse to further advance the use of linked injury data, and ultimately enhance the value of linked injury data for clinicians and health and social policymakers.

© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.

Keywords: coding systems; epidemiology; surveillance

Conflict of interest statement

Competing interests: None declared.

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