Ageism and suicide: A structural equation modeling analysis and evaluation of a high-fidelity simulation-based intervention for future healthcare professionals

Abstract

Ageism is recognized by the World Health Organization as the third most common form of discrimination globally. In middle-aged and older adults, this type of discrimination has been linked to poorer mental health outcomes and an increased risk of suicide. However, this connection remains insufficiently studied. Gaining deeper insight into how ageism contributes to suicide risk is essential to inform prevention strategies and improve care for older populations. In this context, high-fidelity clinical simulation emerges as a promising educational approach to train professionals, foster empathy, and reduce age-related biases in mental health care.