Reconceptualizing de-escalation in mental health care: A qualitative study.
Patient aggression is a pervasive challenge in global mental healthcare. Although de-escalation is a cornerstone of non-coercive care, a significant theory-practice gap persists. This is often attributed to a research focus on fragmented techniques rather than on de-escalation as a continuous, relational process embedded in clinical practice. This gap is particularly pronounced in China's unique socio-cultural context, characterized by high-context communication and pronounced hierarchical power dynamics, which directly shape trust-building and authority navigation during de-escalation.
This study aimed to bridge this gap by exploring the lived experiences of psychiatric nurses in China, reconceptualizing de-escalation, and generating an integrated practice framework.
A qualitative descriptive study with interpretive thematic analysis was conducted using semi-structured, in-depth interviews with thirty registered psychiatric nurses from multiple tertiary hospitals across China. Data were analyzed using reflexive thematic analysis.
The analysis yielded a novel four-phase process model: pre-emptive prevention ('building a defensive levee'), an in-the-moment operational trilogy ('Stabilise, Connect, Resolve'), and post-intervention consolidation ('achieving a therapeutic closed-loop'), all sustained by an organizational ecosystem. The model repositions effective de-escalation not as an isolated skill but as a multidimensional outcome of relational, cognitive, and systemic factors. The model's novelty lies in its integration of discrete skills into a temporal, phase-based process, emphasizing the cyclical nature of relational work and the foundational role of the organizational ecosystem. Thus, it moves beyond a 'technocratic' training focus on fragmented skills in isolation. The core operational trilogy ("Stabilise, Connect, Resolve") provides a cognitive-behavioral framework for in-the-moment clinical reasoning.
This study provides a robust, experience-based framework that addresses the theory-practice gap by capturing de-escalation as a complex, continuous process. The findings underscore the necessity of moving beyond technocratic training towards systemic, relationship-centered support, offering a critical foundation for safer and more therapeutic mental healthcare environments.
This study aimed to bridge this gap by exploring the lived experiences of psychiatric nurses in China, reconceptualizing de-escalation, and generating an integrated practice framework.
A qualitative descriptive study with interpretive thematic analysis was conducted using semi-structured, in-depth interviews with thirty registered psychiatric nurses from multiple tertiary hospitals across China. Data were analyzed using reflexive thematic analysis.
The analysis yielded a novel four-phase process model: pre-emptive prevention ('building a defensive levee'), an in-the-moment operational trilogy ('Stabilise, Connect, Resolve'), and post-intervention consolidation ('achieving a therapeutic closed-loop'), all sustained by an organizational ecosystem. The model repositions effective de-escalation not as an isolated skill but as a multidimensional outcome of relational, cognitive, and systemic factors. The model's novelty lies in its integration of discrete skills into a temporal, phase-based process, emphasizing the cyclical nature of relational work and the foundational role of the organizational ecosystem. Thus, it moves beyond a 'technocratic' training focus on fragmented skills in isolation. The core operational trilogy ("Stabilise, Connect, Resolve") provides a cognitive-behavioral framework for in-the-moment clinical reasoning.
This study provides a robust, experience-based framework that addresses the theory-practice gap by capturing de-escalation as a complex, continuous process. The findings underscore the necessity of moving beyond technocratic training towards systemic, relationship-centered support, offering a critical foundation for safer and more therapeutic mental healthcare environments.
Authors
Qu Qu, Xu Xu, Shao Shao, Wang Wang, Gao Gao, Wang Wang, Gu Gu, Zhang Zhang, Ye Ye, Yang Yang, Zhang Zhang, Zhou Zhou, Cheng Cheng, Wang Wang, Lin Lin
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