生态系统理论视域下大学生心理危机“校家社医”协同干预机制探究

Research on the “School-Family-Community-Hospital” Collaborative Intervention Mechanism for College Students’ Psychological Crises from the Perspective of Ecological Systems Theory

摘要: 为破解传统单一主体被动防御的大学生心理危机干预困境，本研究将生态系统理论与协同治理理念深度融合，结合当前高校医教协同的实践痛点，系统剖析多维系统交互中存在的结构失衡与适应性障碍。研究表明，传统干预模式普遍存在微观系统承载超限与功能性割裂、多主体利益冲突与责任规避、医教信息不对称导致的专业隔离，以及复学学生校园融入障碍等深层阻滞。对此，本研究主张在生态系统框架下深化跨系统融合，明确医教协同的伦理与法律边界，推进多元干预资源下沉校园；依托基层班级网络赋能微观支持体系，以心理资本重塑与行为节律重建恢复学生的心理社会功能；并激活历时系统，实施全生命周期的动态追踪与预警闭环。本研究为推动高校心理健康治理体系的现代化转型提供了坚实的理论支撑。

Abstract: To overcome the practical dilemmas associated with the passive, single-entity approach in college students’ psychological crisis interventions, this study integrates Ecological Systems Theory with the concept of collaborative governance. In light of the practical pain points in current medical-educational collaboration within universities, it systematically dissects the structural imbalances and adaptive barriers present in multi-dimensional system interactions. The research reveals that traditional intervention models universally suffer from deep-rooted systemic blockages, including the capacity overload and functional fragmentation of micro-support systems, conflicts of interest and responsibility evasion among multiple stakeholders, professional isolation caused by information asymmetry, and significant campus reintegration barriers for returning students. To address these issues, this study advocates deepening cross-system integration within an ecological framework. It emphasizes the necessity of clarifying the ethical and legal boundaries of medical-educational collaboration and promotes the integration of diversified therapeutic resources into the campus environment. Furthermore, it proposes empowering micro-support networks through primary class organizations to restore students’ psychosocial functions via psychological capital rebuilding and behavioral rhythm reconstruction. Finally, the study highlights the activation of the chronosystem to implement a life-cycle dynamic tracking and closed-loop early warning mechanism. This research provides a solid theoretical foundation for modernizing the governance system of mental health in higher education.