Institute for Safety, Economics and Planning, University of Stavanger, Kjølv Egelands hus, Kristine Bonnevies vei 22, 4021, Stavanger, Norway.
Department of Innovation, Management & Marketing, UiS Business School, University of Stavanger, Elise Ottesen-Jensens hus, Kjell Arholms gate 37, 4021, Stavanger, Norway.
BMC Health Serv Res. 2019 Sep 18;19(1):674. doi: 10.1186/s12913-019-4459-5.
Little research exists on patient safety climate in the prehospital context. The purpose of this article is to test and validate a safety climate measurement model for the prehospital environment, and to explore and develop a theoretical model measuring associations between safety climate factors and the outcome variable transitions and handoffs.
A web-based survey design was utilized. An adjusted short version of the instrument Hospital Survey on Patient Safety Culture (HSOPSC) was developed into a hypothetical structural model. Three samples were obtained. Two from air ambulance workers in 2012 and 2016, with respectively 83 and 55% response rate, and the third from the ground ambulance workers in 2016, with 26% response rate. Confirmatory factor analysis (CFA) was applied to test validity and psychometric properties. Internal consistency was estimated and descriptive data analysis was performed. Structural equation modelling (SEM) was applied to assess the theoretical model developed for the prehospital setting.
A post-hoc modified instrument consisting of six dimensions and 17 items provided overall acceptable psychometric properties for all samples, i.e. acceptable Chronbach's alphas (.68-.86) and construct validity (model fit values: SRMR; .026-.056, TLI; .95-.98, RMSEA; .031-.052, CFI; .96-.98). A common structural model could also be established.
The results provided a validated instrument, the Prehospital Survey on Patient Safety Culture short version (PreHSOPSC-S), for measuring patient safety climate in a prehospital context. We also demonstrated a positive relation between safety climate dimensions from leadership to unit level, from unit to individual level, and from individual level on the outcome dimension related to transitions and handoffs. Safe patient transitions and handoffs are considered an important outcome of prehospital deliveries; hence, new theory and a validated model will constitute an important contribution to the prehospital safety climate research.
在院前环境中,关于患者安全氛围的研究很少。本文的目的是测试和验证一个用于院前环境的安全氛围测量模型,并探索和开发一个理论模型,以衡量安全氛围因素与结果变量(即交接和转院)之间的关联。
采用基于网络的调查设计。对医院患者安全文化调查(HSOPSC)的一个简短调整版本进行了开发,形成了一个假设的结构模型。共获得了三个样本。其中两个来自 2012 年和 2016 年的空中救护人员,回应率分别为 83%和 55%,第三个来自 2016 年的地面救护车人员,回应率为 26%。应用验证性因子分析(CFA)来测试有效性和心理测量特性。进行了内部一致性估计和描述性数据分析。应用结构方程模型(SEM)来评估为院前环境开发的理论模型。
一个由六个维度和 17 个项目组成的事后修改仪器,为所有样本提供了总体上可接受的心理测量特性,即可接受的 Cronbach's 阿尔法值(.68-.86)和建构效度(模型拟合值:SRMR;.026-.056,TLI;.95-.98,RMSEA;.031-.052,CFI;.96-.98)。也可以建立一个通用的结构模型。
研究结果提供了一个经过验证的工具,即院前患者安全文化调查简短版(PreHSOPSC-S),用于测量院前环境中的患者安全氛围。我们还表明,从领导到单位层面、从单位到个人层面以及从个人层面到与交接和转院相关的结果层面的安全氛围维度之间存在积极的关系。安全的患者交接和转院被认为是院前分娩的一个重要结果;因此,新的理论和经过验证的模型将是对院前安全氛围研究的重要贡献。