In 2025, 97,000 people under the age of 18 in the United States took a depression screening on Mental Health America’s website, and 51% reported frequent suicidal ideation (thoughts of suicide more ...

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 ...

The US Preventive Services Task Force (USPSTF) has updated its recommendation on the screening of depression in the general adult population aged 18 years and older, endorsing its previous call for ...

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 ...

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.

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 ...

A University of Queensland-led global review found that major depression in women and girls reaches its highest prevalence—8.3%—two weeks after giving birth. Drawing on data from over 2 million ...

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 ...

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 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 ...