Using data analytics and economic modelling to support population health planning and clinical management of mental health patients

Start Date

16 March 2021

End Date

22 May 2025

Project Participants

Status: Completed

Opportunity 

Mental health services hold large amounts of data that could help health authorities better understanding how consumers move through the health system and whether certain patterns of care produce optimal outcomes.  

This project had an opportunity to analyse more than 15 years of linked health data in WA to generate evidence that could improve service planning and policy development towards better outcomes for those diagnosed with mental health conditions in WA. 

Project Objectives  

The aim of this project was to develop and use innovative methods for analysing large, linked datasets to  

  • understand patterns of mental health service use in WA 
  • identify patient care pathways and outcomes 
  • explore variation in service delivery. 

The project delivered new evidence on mental health service utilisation, referral pathways, treatment outcomes, and comorbidity and mortality risks. The project also provided a greater understanding of privacy and governance aspects relating to linkage and usage of sensitive patient information. The team also delivered a report on regional variation in mental health care across WA to support stakeholder decision making at policy and clinical levels.

The project strengthened understanding of mental health service delivery across WA and generated practical evidence for policymakers, clinicians and health services. Findings highlight opportunities to improve care coordination, support rural and remote health planning, enhance early intervention efforts and better integrate mental and physical healthcare. The work also demonstrates how linked health data can be used to support more informed policy and service decisions across Australia.

Integrity, Excellence,
Teamwork and Authenticity

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