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Published on: December 2, 2015
Modelling disease frequency measures in schizophrenia epidemiology
Sukanta Saha1, Jan J Barendregt, Theo Vos
1Queensland Centre for Mental He Research, The Park Centre for Mental Health, Locked Bag 500, Sumner Park, Q4074, Australia.
Schizophrenia Research
|July 8, 2008
Summary
Schizophrenia incidence and prevalence estimates show poor consistency. Modeling reveals significant discrepancies, highlighting the need for better epidemiological data and analysis to understand disease dynamics.
Area of Science:
- Epidemiology
- Psychiatric Disorders
Background:
- Systematic reviews have compiled schizophrenia incidence, prevalence, and mortality data.
- This study aimed to model frequency measures and assess consistency with published estimates.
Purpose of the Study:
- Model schizophrenia incidence and prevalence using DisMod software.
- Compare modeled estimates with published data.
- Explore the impact of incidence, remission, and mortality changes on prevalence.
Main Methods:
- Utilized DisMod software for epidemiological modeling.
- Compared modeled and published incidence and prevalence data.
- Conducted 'thought experiments' on parameter adjustments.
Main Results:
- Identified 24 matched incidence-prevalence estimate pairs.
- Modeled estimates significantly differed from published data (often >50% difference).
- Reduced mortality increased prevalence; reduced incidence/remission decreased prevalence.
Conclusions:
- Published schizophrenia incidence and prevalence estimates lack consistency.
- Epidemiological modeling aids in understanding schizophrenia dynamics and data discrepancies.
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