ICU护士应用虚拟现实技术缓解工作压力的体验:一项质性研究OA

Objectives:To explore experiences of ICU nurses with a virtual reality(VR)-based stress reduction intervention and identify the factors influencing its acceptance,guided by the Technology Acceptance Model. Methods:A qualitative descriptive study was conducted in the ICU of a tertiary hospital in China.Fifteen nurses who had completed a VR intervention were recruited using purposive sampling.Data were collected through in-depth,semi-structured interviews between September and October 2025.The interviews were transcribed verbatim and analyzed using Colaizzi's phenomenological method. Results:The analysis yielded five key themes.1)Perceived usefulness:nurses recognized VR's effec-tiveness in reducing stress,primarily through mechanisms of immediate relaxation and psychological detachment from the high-pressure clinical environment.2)Perceived ease of use:the adoption process was hindered not only by technical issues but,more fundamentally,by a persistent inability to disen-gage from patient care responsibilities during use mentally.3)Influence of external variables:a critical barrier identified was the absence of structured organizational support,encompassing protected time,dedicated private spaces,and clear implementation policies.4)Behavioral intention and usage patterns:despite existing barriers,participants expressed a conditional willingness to adopt VR,integrating it flexibly into their routines for in-shift respite or post-shift recovery.5)Recommendations for improvement:practical suggestions for optimization focused on three areas,including diversifying VR content,improving hardware ergonomics,and establishing essential institutional enablers. Conclusions:VR technology has the potential to alleviate stress among ICU nurses.However,its sus-tainable integration into clinical practice requires a systemic approach that addresses multifaceted barriers,with organizational policy and support being the most critical enabling factor.Future initiatives must extend beyond technological optimization to include protected time,dedicated spaces,and sup-portive policies to ensure effectiveness and long-term adoption.