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Dataset Information

Identifying key risk factors for intentional self-harm, including suicide, among a cohort of people prescribed opioid agonist treatment: A predictive modelling study.


ABSTRACT:

Background and aims

People with opioid use disorder are at increased risk of intentional self-harm and suicide. Although risk factors are well known, most tools for identifying individuals at highest risk of these behaviours have limited clinical value. We aimed to develop and internally validate models to predict intentional self-harm and suicide risk among people who have been in opioid agonist treatment (OAT).

Design

Retrospective observational cohort study using linked administrative data.

Setting

New South Wales, Australia.

Participants

46 330 people prescribed OAT between January 2005 and November 2017.

Measurements

Intentional self-harm and suicide prediction within a 30-day window using linked population datasets for OAT, hospitalisation, mental

SUBMITTER: Jones NR 

PROVIDER: S-EPMC12426353 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature