Statistical suicide risk prediction models could be cost-effective and save many lives – News-Medical.Net

There are several effective interventions to reduce the risk of suicide, the tenth-leading cause of death in the United States, but difficulties in identifying people at risk for suicide and concerns about the potentially high costs of suicide-prevention strategies have hampered their wider use.
But as researchers at Massachusetts General Hospital (MGH) demonstrate, statistical suicide risk prevention models could be implemented cost-effectively in U.S. health care systems and might help save many…

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