Aligning depression treatment to patient need leads to efficient care
Taking into account five predictive indicators , including severity of depression, hostility level, introversion, sleep problems and unemployment status, University of Pennsylvania researchers Lorenzo Lorenzo-Luaces and Robert DeRubeis produced a statistical indexing tool that can help identify those most in need of an intensive treatment like cognitive behavioral therapy, or CBT. The researchers found that, in terms of depression recovery rates approximately two years after treatment, those with worse prognoses, as indicated by their scores on the risk index, saw the strongest results from CBT. Those with better prognoses or fewer risk factors saw no differences between CBT and two less-intensive treatments. "We're used to thinking that someone who meets the criteria for major depression needs the most intense treatment," said Lorenzo-Luaces, a sixth-year doctoral candidate in the Department of Psychology in the School of Arts & Sciences, "but there is act...