Evidence-Based Adolescent Care Models Promoting Pediatric Mental Wellness Through Engineering-Assisted Healthcare Solutions

Abstract

Adolescent mental health has become a major worldwide issue, and anxiety, depression, and stress are becoming common conditions among adolescents and young people (aged 13–18 years). Traditional care models may not be scalable, technologically appropriate, evidence based, and precise enough to ensure effective mental wellness promotion for children. The authors provide a thorough framework that combines evidence-based adolescent care approaches with engineering-based healthcare solutions, all designed to improve the effectiveness of early detection and intervention for young people. 280 adolescents from urban and semi-urban school settings were assessed using a mixed-methods strategy that included structured questionnaires, psychometric assessments and system performance measures. Results show that the proposed engineering-assisted model has shown significant gains in early detection rates (62%), help seeking (34%) and reduction in stress (21%) after deployment. The results highlight the ability of technologically-enabled, evidence-based care frameworks to foster scalable, accessible, and culturally responsive pediatric mental health care systems.