Psychiatrists developing model to identify which mentally ill patients likely to become violent

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This article or excerpt is included in the GLP’s daily curated selection of ideologically diverse news, opinion and analysis of biotechnology innovation.

It is certainly true that rates of violent crime are higher among the severely mentally ill than among the general population, with approximately 5 to 10% committing an act of violence within 5 years of diagnosis. Still, the vast majority of them never do so. The question, then, is how psychiatrists can identify the subset of patients who are most likely to become violent….Now, a team of researchers led by Dr. Seena Fazel, has developed a model that accurately predicts which patients are unlikely to become violent.

Dr. Fazel’s team found that two factors greatly increased the likelihood that a severely mentally ill person would commit a violent crime: A history of violent crime (which increased the risk five times) and being male (which more than doubled the risk). On the flip side, the older a patient is, the less likely he or she is to commit a violent crime. (See chart.)

Other factors that were statistically significant but had a smaller impact on the risk of violence included prior alcohol or drug use, previous episodes of self-harm, and being an in-patient. It should be kept in mind, however, that these factors may not cause violence but rather serve as proxies for the severity of mental illness.

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[Read full study here.]

The GLP aggregated and excerpted this blog/article to reflect the diversity of news, opinion, and analysis. Read full, original post: New Model Predicts Which Mentally Ill Patients Are Unlikely To Be Violent

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