Major depression is common, leading to marked suffering for patients and families and causing physical and mental disability, with a substantial economic burden. Although major depression is prevalent across different cultures and effective pharmacological and psychosocial interventions are available, low remission rates in clinical practice are discouraging. Poor outcomes are related to inadequate dose and duration of pharmacotherapy, poor treatment adherence, high dropout, and frequent as well as unnecessary medication changes. In addition, inconsistency of treatment strategies among clinicians is common. Even in current, guideline-driven practice, there are often wide variations in clinicians’ behaviors, resulting in practice bias rather than a tailored and individualized treatment algorithm.
So opens a new paper that has a large goal: trying to reduce that “wide variation” and improve patient care.
This week’s Reading: “Measurement-Based Care Versus Standard Care for Major Depression: A Randomized Controlled Trial With Blind Raters” by Tong Guo et al., just published online (and ahead of print) by The American Journal of Psychiatry.
Find the paper here:
http://ajp.psychiatryonline.org/doi/full/10.1176/appi.ajp.2015.14050652
Here’s a quick summary: big study, big journal, and big implications for depression management (and, yes, your patients). In a head-to-head comparison, patients did better when depression management included an algorithm for medications rather than regular psychiatrist care. Continue reading






Recent Comments