Self-harm injury hospitalisations: an analysis of case selection criteria.


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:
03 2021
Historique:
received: 02 01 2020
revised: 13 05 2020
accepted: 21 05 2020
entrez: 6 3 2021
pubmed: 7 3 2021
medline: 5 10 2021
Statut: ppublish

Résumé

This study explores the impact of using different criteria to identify nonfatal hospitalisations with self-harm injuries using 2017-2018 Wisconsin discharge data. Using International Classification of Diseases, 10th Revision, Clinical Modification codes, we classified records by three mutually exclusive selection criteria: subset A--principal diagnosis of injury, and any code for self-harm, initial encounter only; subset B--non-injury principal diagnosis, and any code for self-harm, initial encounter only; subset C--any principal diagnosis, and any code for self-harm, subsequent and sequelae encounters only. These categories were used to conduct two separate logistic regression models. Model 1 analysed the impact of surveillance limited to a principal diagnosis of injury, initial self-harm encounter (subset B compared with A). Model 2 analysed the impact if limited to initial encounters for self-harm, regardless of principal diagnosis (subset C compared with (A+B)). Both patient-level and visit-level analyses were conducted. For both patient-level models, subsets that included additional records based on an expansion of selection criteria were significantly more likely to include children (model 1: OR 2.8, model 2: OR 2.9; compared with those 25-54 years), those with mental health disorders (model 1: OR 6.5, model 2: OR 4.3) and rural residents (model 1: OR 1.2, model 2: OR 1.4). Drug-related disorder and means of self-harm were significantly different among subsets for both models. Visit-level analyses revealed similar results. Expanding case selection criteria would better capture the scale of hospitalisation for nonfatal self-harm. Using restrictive selection criteria may result in biased understanding of the affected populations, potentially impacting the development of policy and prevention programmes.

Sections du résumé

BACKGROUND
This study explores the impact of using different criteria to identify nonfatal hospitalisations with self-harm injuries using 2017-2018 Wisconsin discharge data.
METHODS
Using International Classification of Diseases, 10th Revision, Clinical Modification codes, we classified records by three mutually exclusive selection criteria: subset A--principal diagnosis of injury, and any code for self-harm, initial encounter only; subset B--non-injury principal diagnosis, and any code for self-harm, initial encounter only; subset C--any principal diagnosis, and any code for self-harm, subsequent and sequelae encounters only. These categories were used to conduct two separate logistic regression models. Model 1 analysed the impact of surveillance limited to a principal diagnosis of injury, initial self-harm encounter (subset B compared with A). Model 2 analysed the impact if limited to initial encounters for self-harm, regardless of principal diagnosis (subset C compared with (A+B)). Both patient-level and visit-level analyses were conducted.
RESULTS
For both patient-level models, subsets that included additional records based on an expansion of selection criteria were significantly more likely to include children (model 1: OR 2.8, model 2: OR 2.9; compared with those 25-54 years), those with mental health disorders (model 1: OR 6.5, model 2: OR 4.3) and rural residents (model 1: OR 1.2, model 2: OR 1.4). Drug-related disorder and means of self-harm were significantly different among subsets for both models. Visit-level analyses revealed similar results.
DISCUSSION
Expanding case selection criteria would better capture the scale of hospitalisation for nonfatal self-harm. Using restrictive selection criteria may result in biased understanding of the affected populations, potentially impacting the development of policy and prevention programmes.

Identifiants

pubmed: 33674333
pii: injuryprev-2019-043514
doi: 10.1136/injuryprev-2019-043514
pmc: PMC7948187
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

i49-i55

Informations de copyright

© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Pamela Imm (P)

University of Wisconsin Population Health Institute, University of Wisconsin-Madison, Madison, Wisconsin, USA Pamela.Imm@dhs.wisconsin.gov.

Brittany Grogan (B)

Public Health Madison & Dane County, City of Madison Wisconsin, Madison, Wisconsin, USA.

Ousmane Diallo (O)

Wisconsin Department of Health Services, Wisconsin Division of Public Health, Madison, Wisconsin, USA.

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