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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

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Johanna Etner¹, Meglena Jeleva

¹EconomiX-CNRS, University Paris Ouest Nanterre La Defense, Nanterre, France. johanna.etner@uparis10.fr

Health Economics

|January 13, 2012

Summary

Risk perception significantly impacts medical prevention choices. Fatalists underestimate prevention effectiveness, while moderate pessimists may adjust their prevention strategies based on health status changes.

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Area of Science:

Health economics
Behavioral economics
Decision theory

Background:

Understanding individual decision-making in health is crucial for effective public health strategies.
Risk perception and evolving health status are key factors influencing preventive health behaviors.
Existing models often simplify the dynamic nature of risk perception and its impact on long-term health choices.

Purpose of the Study:

To analyze how risk perception and diagnostic information influence medical prevention decisions.
To model individual intertemporal preferences using a recursive rank dependent utility framework.
To differentiate the effects of various risk perception types on prevention strategies.

Main Methods:

Utilizing a recursive rank dependent utility model to capture time-varying risk perceptions.
Categorizing individuals into 'moderate pessimists' and 'fatalists' based on their risk assessment.
Examining how changes in risk perception post-disease occurrence affect prevention choices.

Main Results:

Fatalists overestimate disease probability and underestimate prevention efficacy.
Moderate pessimists tend to opt for high levels of primary and tertiary prevention.
A moderate pessimist who becomes fatalistic after disease onset may reduce tertiary prevention efforts.

Conclusions:

Risk perception, particularly fatalism, plays a critical role in shaping medical prevention decisions.
Dynamic changes in risk perception, influenced by health status, necessitate tailored prevention strategies.
The study highlights the importance of considering individual psychological profiles in health intervention design.