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Related Experiment Video

Updated: Jul 12, 2026

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

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

Published on: May 15, 2020

Identifying and implementing prevention programmes for childhood mental health problems.

Femke Giesen¹, Amelia Searle, Michael Sawyer

¹Research and Evaluation Unit, Children, Youth and Women's Health Service, North Adelaide, South Australia, Australia.

Journal of Paediatrics and Child Health

|September 7, 2007

Summary

This review guides service providers in selecting effective child mental health prevention programs. Focusing on risk factors and program adaptability improves uptake and reduces mental health issues in youth.

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Last Updated: Jul 12, 2026

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

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

Published on: May 15, 2020

Area of Science:

Child and Adolescent Psychiatry
Public Health
Health Services Research

Background:

A significant number of children and adolescents in Australia experience mental health problems.
Effective prevention programs are crucial for addressing this widespread issue.

Purpose of the Study:

To provide guidance for service providers on selecting evidence-based prevention programs for child mental health.
To identify key factors influencing the successful implementation and uptake of these programs within health services.

Main Methods:

Literature review focusing on risk and protective factors in child mental health.
Analysis of methodologies for evaluating the quality of prevention program evaluations.
Identification of characteristics common to effective mental health interventions for youth.

Main Results:

Effective programs target specific risk and protective factors causally linked to mental health problems.
Program evaluation quality is assessed through rigorous methodologies, with effective programs often sharing common traits.
Successful uptake depends on program compatibility with provider values and flexibility for contextual adaptation.

Conclusions:

Selecting programs based on causal risk factors and proven effectiveness is essential.
Facilitating program adoption requires considering provider needs and allowing for adaptation.
Maximizing the impact of new prevention programs necessitates addressing implementation barriers.