Zhou Qian, Liu Junjie, Zheng Feiyang, Wang Qianning, Zhang Xinping, Li Hui, Tan Li, Luo Wanjun
Department of Hospital Infection Management, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology , No.100 Xianggang Rd, Wuhan, Hubei Province, China.
School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
BMC Nurs. 2024 Jan 10;23(1):29. doi: 10.1186/s12912-024-01701-w.
The evidence of preferences for infection prevention and control (IPC) intervention from system perspective was lacked. This study aimed to elicit nurses' preferences for the intervention designed to improve IPC behaviors based on the Systems Engineering Initiative to Patient Safety (SEIPS) model using Discrete Choice Experiment (DCE).
A DCE was conducted among nurses who were on active duty and willing to participate from July 5th to 10th, 2021 in a tertiary hospital in Ganzhou City, Jiangxi Province, using convenience sampling. A self-administered questionnaire included scenarios formed by six attributes with varying levels based on SEIPS model: person, organization, tools and technology, tasks, internal environment and external environment. A conditional logit and latent class logit model were performed to analyze the data.
A total of 257 valid questionnaires were analyzed among nurses. The results from the latent class logit model show that nurses' preferences can be divided into three classes. For nurses in multifaceted-aspect-preferred class (41.9%), positive coefficients were obtained in those six attributes. For person-preferred class (19.7%), only person was positively significant. For environment-preferred class (36.4%), the most important attribute were tasks, tools and technology, internal environment and external environment.
This finding suggest that nurses have three latent-class preferences for interventions. Multifaceted interventions to improve IPC behaviors based on the SEIPS model are preferred by most nurses. Moreover, relevant measured should be performed targeted the latent class of person-preferred and external-environment-preferred nurses.
从系统角度来看，缺乏关于感染预防与控制（IPC）干预偏好的证据。本研究旨在运用离散选择实验（DCE），基于患者安全系统工程倡议（SEIPS）模型，引出护士对旨在改善IPC行为的干预措施的偏好。
2021年7月5日至10日，在江西省赣州市一家三级医院，采用便利抽样法，对在职且愿意参与的护士进行了DCE。一份自填式问卷包含基于SEIPS模型由六个具有不同水平的属性构成的情景：人员、组织、工具与技术、任务、内部环境和外部环境。运用条件logit模型和潜在类别logit模型对数据进行分析。
共分析了257份护士有效问卷。潜在类别logit模型的结果显示，护士的偏好可分为三类。对于多方面偏好类护士（41.9%），这六个属性均获得正系数。对于人员偏好类护士（19.7%），只有人员属性具有显著正相关。对于环境偏好类护士（36.4%），最重要的属性是任务、工具与技术、内部环境和外部环境。
这一发现表明护士对干预措施有三种潜在类别偏好。大多数护士更倾向于基于SEIPS模型的改善IPC行为的多方面干预措施。此外，应针对人员偏好类和外部环境偏好类护士这两个潜在类别采取相关措施。
