This year’s National Depression Screening Day takes place Oct. 5. The first National Depression Screening Day was held in 1991, and in 2009, the U.S. Preventive Services Task Force updated its ...

Please provide your email address to receive an email when new articles are posted on . Annual depression screening was cost effective and yielded the most depression-free days gained. Screening is ...

Depression often goes undiagnosed in long-term care settings, but implementing nurse-led screening protocols can help older adults receive a diagnosis and access treatment, according to study results ...

On Oct. 5, health organizations around the country are offering free resources for National Depression Screening Day. Started in 1991, National Depression Screening Day (NDSD) serves as a way to ...

Please provide your email address to receive an email when new articles are posted on . The PHQ-9 was more effective than suicidal ideation screening in identifying patients who would attempt suicide ...

Held annually during Mental Illness Awareness Week in October, National Depression Screening Day (NDSD) is comprised of awareness events that include an optional screening component. National ...

Depression doesn’t have a uniform presentation, but teenage depression assessments can help differentiate between typical adolescent “growing pains” and serious mental health challenges. It’s ...

Every time a patient visits Jason Connelly, MD, they must fill out a depression screening, thanks to a 2017 rule which mandates such assessments. Providing a screener and, if needed, a follow-up plan ...

Everyone gets blue, but when sad, lonely, hopeless or irritable feelings prevent your getting on with your life, it may be clinical depression. Nearly 20 million Americans suffer from depression each ...

In a new guideline, the Canadian Task Force on Preventive Health Care (CTFPHC) “strongly” recommended against screening all adults with a standardized tool for depression, stating instead that ...

Depression and anxiety have been well documented in people with multiple sclerosis (MS), but often are undiagnosed or untreated. A machine learning model may help by analyzing routinely collected ...