Division of Anaesthetics, Pain Medicine & Intensive Care, Department of Surgery & Cancer, Faculty of Medicine, Imperial College London, London, UK.
NIHR London In Vitro Diagnostics Cooperative, London, UK.
Br J Anaesth. 2024 Jul;133(1):164-177. doi: 10.1016/j.bja.2024.03.011. Epub 2024 Apr 17.
Invasive mechanical ventilation is a key supportive therapy for patients on intensive care. There is increasing emphasis on personalised ventilation strategies. Clinical decision support systems (CDSS) have been developed to support this. We conducted a narrative review to assess evidence that could inform device implementation. A search was conducted in MEDLINE (Ovid) and EMBASE. Twenty-nine studies met the inclusion criteria. Role allocation is well described, with interprofessional collaboration dependent on culture, nurse:patient ratio, the use of protocols, and perception of responsibility. There were no descriptions of process measures, quality metrics, or clinical workflow. Nurse-led weaning is well-described, with factors grouped by patient, nurse, and system. Physician-led weaning is heterogenous, guided by subjective and objective information, and 'gestalt'. No studies explored decision-making with CDSS. Several explored facilitators and barriers to implementation, grouped by clinician (facilitators: confidence using CDSS, retaining decision-making ownership; barriers: undermining clinician's role, ambiguity moving off protocol), intervention (facilitators: user-friendly interface, ease of workflow integration, minimal training requirement; barriers: increased documentation time), and organisation (facilitators: system-level mandate; barriers: poor communication, inconsistent training, lack of technical support). One study described factors that support CDSS implementation. There are gaps in our understanding of ventilation practice. A coordinated approach grounded in implementation science is required to support CDSS implementation. Future research should describe factors that guide clinical decision-making throughout mechanical ventilation, with and without CDSS, map clinical workflow, and devise implementation toolkits. Novel research design analogous to a learning organisation, that considers the commercial aspects of device design, is required.
有创机械通气是重症监护患者的关键支持性治疗方法。人们越来越强调个性化通气策略。已经开发了临床决策支持系统(CDSS)来支持这一点。我们进行了叙述性综述,以评估可为设备实施提供信息的证据。在 MEDLINE(Ovid)和 EMBASE 中进行了搜索。有 29 项研究符合纳入标准。角色分配描述得很好,跨专业协作取决于文化、护士与患者的比例、协议的使用以及对责任的看法。没有描述过程措施、质量指标或临床工作流程。护士主导的脱机描述得很好,将因素按患者、护士和系统分组。医生主导的脱机方法多种多样,由主观和客观信息以及“整体观”指导。没有研究探讨 CDSS 的决策。有几项研究探讨了实施的促进因素和障碍,按临床医生(促进因素:使用 CDSS 的信心,保留决策所有权;障碍:破坏临床医生的角色,脱离协议的模糊性)、干预(促进因素:用户友好的界面,易于工作流程集成,最低培训要求;障碍:增加文档记录时间)和组织(促进因素:系统级授权;障碍:沟通不畅,培训不一致,缺乏技术支持)进行分组。一项研究描述了支持 CDSS 实施的因素。我们对通气实践的理解存在差距。需要采取以实施科学为基础的协调方法来支持 CDSS 的实施。未来的研究应该描述在有和没有 CDSS 的情况下指导整个机械通气过程的临床决策的因素,绘制临床工作流程,并设计实施工具包。需要类似学习型组织的新型研究设计,同时考虑设备设计的商业方面。