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 ...

More people are being screened for depression now than they were 10 years ago, but screening rates still remain low, new research suggests. Investigators used data from the National Ambulatory Medical ...

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 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 ...

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 ...

Text-based AI depression screening may be easier and quicker than questionnaires. A new study highlights how artificial intelligence could improve mental health monitoring among older adults.

Physical pain, heart-related sensations and repetitive negative thinking are among the most commonly reported symptoms of ...

With recent reports of suicide rates being on the rise in the U.S., we’ve been thinking a lot about what we can do to better detect, diagnose, and treat mental health issues in a wider portion of the ...

In Canada and the U.S., doctors are increasingly being encouraged to try to identify depression in children and adolescents - even if they do not have obvious indications of the disease. In order to ...

Medicaid reimbursement was associated with more billed postpartum depression (PPD) screens and higher probability of the mother being diagnosed and treated. Medicaid-insured mothers have higher rates ...

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 ...