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Modelling candidate effectiveness indicators for mental health services.

Philip Burgess1, Jane Pirkis, Tim Coombs

  • 1School of Population Health, University of Queensland, Sumner Park BC, Qld, Australia. p.burgess@uq.edu.au

The Australian and New Zealand Journal of Psychiatry
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Summary
This summary is machine-generated.

Choosing the right statistical method is crucial for accurately assessing mental health service performance. Different analysis approaches yield varying effectiveness rates, impacting how service outcomes are interpreted.

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Area of Science:

  • Health Services Research
  • Mental Health Statistics
  • Outcome Measurement

Background:

  • Systematic outcome measurement in mental health services is increasing in Australia and the UK.
  • There is a lack of research on optimal analysis methods for routine outcome data in mental health.
  • Accurate performance evaluation of mental health services relies on appropriate data analysis.

Purpose of the Study:

  • To explore different statistical approaches for analyzing routine outcome data in mental health services.
  • To compare the effectiveness of Effect Size (ES), Reliable Change Index (RCI), and Standard Error of Measurement (SEM) in performance evaluation.
  • To highlight the impact of statistical method choice on perceived service effectiveness.

Main Methods:

  • Utilized routine outcome data from Australian acute inpatient and ambulatory mental health services (2006-2007).
  • Applied three statistical methods: Effect Size (ES), Reliable Change Index (RCI), and Standard Error of Measurement (SEM).
  • Compared the percentage of improved patient outcomes across different statistical indicators.

Main Results:

  • The Reliable Change Index (RCI) provided the most conservative effectiveness results.
  • Medium Effect Size (ES) and Standard Error of Measurement (SEM) yielded less conservative results.
  • For adult inpatient admissions, RCI indicated improvement in 38.0% of cases, compared to 67.4% (ES) and 72.9% (SEM).

Conclusions:

  • The choice of statistical indicator significantly influences the demonstrated effectiveness of mental health services.
  • Consistent use of a single metric is essential for meaningful routine outcome measurement and performance assessment.
  • Further discussion is needed on appropriate statistical methods to enable cross-service, cross-area, and cross-national comparisons.