From the Editor
Depression is the result of character weakness. So explained my patient who had a major depressive disorder and hesitated to take medications.
Though fading, stigma about mental illness continues to exist, including self-stigma, the negative thoughts and beliefs that patients have about their own disease – as with my patient. How common is self-stigma? How does its prevalence differ around the globe? What are risk factors for it? Nan Du (of the University of Hong Kong) and co-authors attempt to answer these questions in a new Journal of Affective Disorders paper. They do a systematic review and meta-analysis of self-stigma for people with depression, drawing on 56 studies with almost 12 000 participants, and they a focus on international comparisons. “The results showed that the global prevalence of depression self-stigma was 29%. Levels of self-stigma varied across regions, but this difference was not significant.” We consider the paper and its clinical implications.
In this week’s second selection, we look at ChatGPT and mental health care. Dr. John Torous (of Harvard University) joins me for a Quick Takes podcast interview. He sees potential for patients – including making clinical notes more accessible by bridging language and knowledge divides – and for physicians, who may benefit from a more holistic differential diagnosis and treatment plan based on multiple data sets. He acknowledges problems with privacy, accuracy, and ChatGPT’s tendency to “hallucinate,” a term he dislikes. “We want to really be cautious because these are complex pieces of software.”
And in the third selection, Dr. Catherine Hickey (of Memorial University) writes about the opioid crisis for Academic Psychiatry. The paper opens personally, with Dr. Hickey describing paramedics trying to help a young man who had overdosed. She considers the role of psychiatry and contemplates societal biases. “[I]n a better world, the needless deaths of countless young people would never be tolerated, regardless of their skin color.”