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Journal of Mental Health Nursing & Statistics

Volume 2, Issue 1, 2026
Mcmed International
Journal of Mental Health Nursing & Statistics
Issn
3117-4345 (Print), 3117-4353 (Online)
Frequency
bi-annual
Email
editorJMHNS@mcmed.us
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Abstract
Title
THE ROLE OF EVIDENCE-BASED NURSING AND STATISTICAL RISK ASSESSMENT IN SUICIDE PREVENTION PROGRAMS
Author
Dr. Ankita H Upadhyay
Email
keyword
Suicide Prevention; Evidence-Based Nursing; Statistical Risk Assessment; Mental Health Nursing; Predictive Analytics; Public Health; Patient-Centered Care
Abstract
Suicide remains a pressing global public health concern, accounting for nearly 800,000 deaths annually according to the World Health Organization (WHO). Effective suicide prevention demands a comprehensive, multi-level approach that integrates psychosocial, clinical, and community-based strategies. Evidence-based nursing has emerged as a cornerstone in this field, enabling healthcare professionals to implement interventions grounded in scientific research while addressing individual patient needs. Simultaneously, statistical risk assessment tools provide critical insights into identifying at-risk individuals by analyzing clinical, demographic, and psychosocial predictors. This paper explores the integration of evidence-based nursing with statistical risk assessment in suicide prevention programs. By combining empathetic, patientcentered care with data-driven risk identification, nurses can enhance early detection, tailor interventions, and contribute to reducing suicide rates. Through case studies, data analysis, and questionnaires, this paper underscores the importance of combining clinical expertise with predictive analytics to create sustainable, patientfocused prevention strategies
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