Use of mixed methods to investigate case definitions to improve the identification of serious injury cases from hospital episode data.


Journal

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention
ISSN: 1475-5785
Titre abrégé: Inj Prev
Pays: England
ID NLM: 9510056

Informations de publication

Date de publication:
12 2019
Historique:
received: 30 04 2019
revised: 21 06 2019
accepted: 21 06 2019
pubmed: 25 7 2019
medline: 11 8 2020
entrez: 25 7 2019
Statut: ppublish

Résumé

It has been commonplace internationally, when using hospital data, to use the principal diagnosis to identify injury cases and the first external cause of injury code (E-code) to identify the main cause. Our purpose was to investigate alternative operational definitions of serious non-fatal injury to identify cases of interest for injury surveillance, both overall and for four common causes of injury. Serious non-fatal injury cases were identified from New Zealand (NZ) hospital discharge data using an alternative definition: that is, case selection using principal and additional diagnoses. Separately, identification of cause used all E-codes on the discharge record. Numbers of cases identified were contrasted with those captured using the usual definition. Views of NZ government stakeholders were sought regarding the acceptability of the additional cases found using these alternative definitions. Views of international experts were also canvassed. When using all diagnoses there was a 7% increase in 'all injury' cases identified, a 17% increase in self-harm cases and 8% increase in falls cases. Use of all E-codes resulted in a 4% increase in self-harm cases, 2% increase in assault cases and 1% increase in both falls and motor vehicle traffic crash cases. A case definition based solely on principal diagnosis fails to count a material number of serious non-fatal injury cases that are of interest to the injury prevention community. There is a need, therefore, to use an alternative case definition that includes additional diagnoses. Use of multiple E-codes to classify cause of injury should be considered.

Identifiants

pubmed: 31337637
pii: injuryprev-2019-043293
doi: 10.1136/injuryprev-2019-043293
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

552-556

Informations de copyright

© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Colin Cryer (C)

Injury Prevention Research Unit, Department of Preventive and Social Medicine, University of Otago-Dunedin Campus, Dunedin, New Zealand colincryer@btinternet.com.

Gabrielle Davie (G)

Injury Prevention Research Unit, Department of Preventive and Social Medicine, University of Otago-Dunedin Campus, Dunedin, New Zealand.

Pauline Gulliver (P)

School of Population Health, The University of Auckland, Auckland, New Zealand.

Ari Samaranayaka (A)

Centre for Biostatistics, University of Otago, Dunedin, New Zealand.

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