Mohd Yusoff Hanizah, Ismail Khairil Idham, Ismail Rosnah, Khamis Nor Kamaliana, Muhamad Robat Rosnawati, Bryce Jonathan Michael
Jabatan Perubatan Kesihatan Awam, Fakulti Perubatan Universiti Kebangsaan Malaysia, Hospital Canselor Tuanku Muhriz Universiti Kebangsaan Malaysia, Jalan Yaacob Latiff, Bandar Tun Razak, 56000 Cheras, Kuala Lumpur, Malaysia.
Ministry of Health Malaysia, Federal Government Administrative Centre, 62590, Putrajaya, Malaysia.
Heliyon. 2023 Dec 21;10(1):e23735. doi: 10.1016/j.heliyon.2023.e23735. eCollection 2024 Jan 15.
Driving is the most prevalent form of commuting for most workers but is also perhaps the most hazardous mode of travel with unsafe driving contributing significantly to road traffic accidents. Despite nurses having been reported as being at higher risk of commuter-related accidents over the last three decades, little is known about unsafe driving behaviours among nurses while commuting, which is unique from other driving routines. Additionally, the lack of appropriate tools to measure such behaviours is apparent. This study aims i) to identify unsafe driving behaviours among nurses while commuting and ii) to develop a scale to assess nurses' unsafe commuting driving behaviours. The study employed a multiphase and multimethod approach to develop the scale, which was subject to stringent validation and evaluation. Themes were specified via the Nominal Group Technique (NGT). Six themes were identified namely: i) violations and reckless driving, ii) negative emotions, iii) drowsy driving iv) mind wandering, v) error and vi) carelessness. Content and face validity were sought through expert review. A total of 442 nurses' data were collected across multisite hospitals for evaluation. Exploratory factor analysis (EFA) resulted in recovered structure and was confirmed through Confirmatory Factor Analysis (CFA) with structural equation analyses being conducted to test predictive validity. All constructs met adequate validity and reliability. Nurses' unsafe driving behaviours while commuting were identified with a novel scale to assess them being both developed and validated. The resulting MyUDWC scale is a suitable tool for measuring nurses' unsafe driving behaviours while commuting.
对于大多数上班族来说，开车是最普遍的通勤方式，但它可能也是最危险的出行方式，不安全驾驶是道路交通事故的一个重要因素。尽管在过去三十年里，有报告称护士在通勤相关事故中面临更高风险，但对于护士在通勤时的不安全驾驶行为却知之甚少，而这与其他驾驶日常有所不同。此外，明显缺乏衡量此类行为的适当工具。本研究旨在：i）识别护士在通勤时的不安全驾驶行为；ii）开发一个量表来评估护士不安全的通勤驾驶行为。该研究采用多阶段、多方法的方式来开发量表，并对其进行了严格的验证和评估。通过名义小组技术（NGT）确定了主题。确定了六个主题，即：i）违规和鲁莽驾驶；ii）负面情绪；iii）疲劳驾驶；iv）走神；v）失误；vi）粗心大意。通过专家评审寻求内容效度和表面效度。在多家医院收集了442名护士的数据进行评估。探索性因素分析（EFA）得出了恢复的结构，并通过验证性因素分析（CFA）得到确认，同时进行了结构方程分析以测试预测效度。所有构念都具有足够的效度和信度。通过开发并验证了一种新颖的量表，识别了护士在通勤时的不安全驾驶行为。由此产生的MyUDWC量表是衡量护士在通勤时不安全驾驶行为的合适工具。
