Identifying typologies among persons admitted to hospital for non-fatal intentional self-harm in Victoria, Australia

Soc Psychiatry Psychiatr Epidemiol. 2019 Dec;54(12):1497-1504. doi: 10.1007/s00127-019-01747-1. Epub 2019 Jul 16.

Abstract

Purpose: The aim of this study was to determine whether people who have been hospitalised as the result of non-fatal self-harm form meaningful groups based on mechanism of injury, and demographic and mental health-related factors.

Methods: A retrospective analysis of 18,103 hospital admissions for self-harm in Victoria, Australia over the 3-year period 2014/2015-2016/2017 recorded on the Victorian Admitted Episodes Dataset (VAED). The VAED records all hospital admissions in public and private hospitals in Victoria. The primary analysis used a two-step method of cluster analysis. Initial analysis determined two distinct groups, one composed of individuals who had a recorded mental illness diagnosis and one composed of individuals with no recorded mental illness diagnosis. Subsequent cluster analysis identified four subgroups within each of the initial two groups.

Results: Within the diagnosed mental illness subgroups, each subgroup was characterised by a particular mental disorder or a combination of disorders. Within the no diagnosis of mental illness groups, the youngest group was also the most homogenous (all females who self-poisoned), the oldest group had a high proportion of rural/regional residents, the group with the highest proportion of males also had the highest proportion of people who used cutting as the method of self-harm, and the group with the highest proportion of metropolitan residents also had the highest proportion of people who were married.

Conclusions: Preventative interventions need to take into account that those who are admitted to hospital for self-harm are a heterogeneous group.

Keywords: Hospitalisations; Injury; Intentional self-harm; Mental illness.

MeSH terms

  • Adolescent
  • Adult
  • Demography
  • Female
  • Hospitalization / statistics & numerical data*
  • Hospitals
  • Humans
  • Male
  • Mental Health / statistics & numerical data*
  • Middle Aged
  • Retrospective Studies
  • Rural Population
  • Self-Injurious Behavior / epidemiology*
  • Self-Injurious Behavior / psychology
  • Victoria / epidemiology
  • Young Adult