Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Formative Research

Date Submitted: May 8, 2022
Date Accepted: Sep 12, 2022

The final, peer-reviewed published version of this preprint can be found here:

Mental Illness Concordance Between Hospital Clinical Records and Mentions in Domestic Violence Police Narratives: Data Linkage Study

Karystianis G, Cabral RC, Adily A, Lukmanjaya W, Schofield P, Buchan I, Nenadic G, Butler TG

Mental Illness Concordance Between Hospital Clinical Records and Mentions in Domestic Violence Police Narratives: Data Linkage Study

JMIR Form Res 2022;6(10):e39373

DOI: 10.2196/39373

PMID: 36264613

PMCID: 9634517

Mental illness concordance between hospital clinical records and mentions in domestic violence police narratives: Data linkage study

  • George Karystianis; 
  • Rina Carines Cabral; 
  • Armita Adily; 
  • Wilson Lukmanjaya; 
  • Peter Schofield; 
  • Iain Buchan; 
  • Goran Nenadic; 
  • Tony Gerald Butler

ABSTRACT

Background:

To better understand domestic violence, data sources from multiple sectors such as police, justice, health, and welfare are needed. Linking police data to databases from other agencies could provide unique insights and promote an all-of-government response to domestic violence. The New South Wales Police Force attends domestic violence events and records information in the form of both structured data and a free text narrative, with the latter shown to be a rich source of information.

Objective:

To examine the concordance (i.e., matching) between mental illness mentions extracted from the police’s event narratives with mental health diagnoses from hospital and emergency department records.

Methods:

Using different window periods (one/three/six/twelve months) before and after a domestic violence event, we automatically linked data from 416,441 police event narratives between December 2005 and January 2016 to clinical records from the Emergency Department Data Collection and the Admitted Patient Data Collection in New South Wales, Australia.

Results:

Using a two-year (i.e., twelve months before and after) window period, <1% (3,020) of events had a mental illness mention and a corresponding hospital record. 16% of domestic violence events for both persons of interest (POIs) (382 out of 2,395) and victims (101 out of 631) had agreement between hospital records and police narrative mentions of mental illness. 51,025 (12.2%) events for POIs and 14,802 (3.5%) events for victims had mental illness mentions in their narratives but no hospital record. Only 841 events for POIs and 919 events for victims had a hospital record within 48 hours of the DV event.

Conclusions:

Our findings reinforce the view that surveillance systems based solely on hospital presentations are very limited in terms of coverage, with hospitals seeing only a fraction of mental illness conditions arising from domestic violence situations. This demonstrates that police appear to have substantial visibility of mental illness in domestic violence covering scope and the severity of conditions. While the police data come with their own set of limitations, the coverage of mental health within domestic violence police narratives highlights the need to be able to link various data sources for large scale surveillance and reporting that could prove beneficial for vulnerable populations.


 Citation

Please cite as:

Karystianis G, Cabral RC, Adily A, Lukmanjaya W, Schofield P, Buchan I, Nenadic G, Butler TG

Mental Illness Concordance Between Hospital Clinical Records and Mentions in Domestic Violence Police Narratives: Data Linkage Study

JMIR Form Res 2022;6(10):e39373

DOI: 10.2196/39373

PMID: 36264613

PMCID: 9634517

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.