共同命运模型在护理领域二元研究中的应用进展

Progress in Applying the Common Fate Model to Dyadic Studies in Nursing

摘要: 护理实践中广泛存在成对关系，双方在疾病应对与健康管理中相互依存，构成数据的非独立性，对传统统计方法构成挑战。共同命运模型(Common Fate Model, CFM)通过潜变量将分析单元从个体层面提升至二元层面，为分析共同影响因素提供了方法论工具。本文系统回顾了CFM的概念与统计原理，梳理其在家庭、心理及健康领域的应用现状，总结CFM在护理领域的研究进展与局限。当前CFM在护理领域应用尚处起步阶段，面临场景局限、关系类型单一及测量工具匮乏等瓶颈。未来应围绕慢病共管、护患联盟等典型场景开发本土的共享构念测量工具，引入纵向与中介设计，推动分析重心从个体效应估计走向共享构念建模，为回应护理实践中双方互动与共适应的分析需求提供方法学支撑。

Abstract: Dyadic relationships are pervasive in nursing practice, where two parties are interdependent in disease coping and health management. This interdependence produces non‑independent data, challenging conventional statistical methods. The Common Fate Model (CFM), through latent variables, elevates the unit of analysis from the individual to the dyadic level, offering a methodological tool for examining shared influencing factors. This article systematically reviews the conceptual and statistical foundations of CFM, summarizes its current applications in family, psychological, and health‑related research, and discusses its progress and limitations within the nursing domain. At present, the application of CFM in nursing is still in its infancy, constrained by limited scenarios, a narrow range of relationship types, and a shortage of appropriate measurement instruments. Future efforts should focus on developing locally adapted instruments for shared constructs, incorporating longitudinal and mediation designs, and shifting the analytical emphasis from individual‑level effect estimation to shared‑construct modeling, particularly in typical caregiving contexts such as chronic illness dyadic management and nurse‑patient therapeutic alliances. These steps will provide methodological support for addressing the analytical demands arising from mutual interaction and co‑adaptation in nursing practice.