Review of Clinical Prediction Models for Mental Health Treatment Outcomes
Author Information
Author(s): Burghoorn Desi G., Booij Sanne H., Schoevers Robert A., Riese Harriëtte
Primary Institution: University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, Groningen, The Netherlands
Hypothesis
How do externally validated clinical prediction models estimate treatment outcomes for mood, anxiety, and psychotic disorders?
Conclusion
Few models are ready for implementation in clinical practice, highlighting the need for more external validation studies.
Supporting Evidence
- Twenty-eight studies were included in the review.
- The overall discrimination performance of the meta-analysis was fair with wide prediction intervals.
- Models predicting outcomes for individuals diagnosed with depressive disorders showed lower discrimination than those for other disorders.
- Two studies were rated as low concern for both risk of bias and applicability.
Takeaway
This study looked at different models that help predict how well treatments work for people with mental health issues, and found that not many of them are ready to be used in real life yet.
Methodology
Systematic review and meta-analysis of 28 studies focusing on externally validated clinical prediction models.
Potential Biases
Many studies had high concerns regarding bias due to poor reporting and handling of missing data.
Limitations
High risk of bias and applicability concerns in many studies due to strict inclusion criteria and methodological issues.
Participant Demographics
Most studies focused on adults with mood disorders, with some including adolescents.
Statistical Information
P-Value
p<0.05
Confidence Interval
[0.46; 0.89]
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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