Tian Fei, Xi Zuyang, Ai Ling, Zhou Xiaojing, Zhang Zhaohui, Liu Jinglan, Mi Yuanyuan, Gui Shengmin, Li Chaxiang, Liu Min
The First College of Clinical Medical Science, China Three Gorges University, Teaching and Research Section of Clinical Nursing, Yichang, People's Republic of China.
Nursing Department, China Xingshan County People's Hospital, Xingshan, People's Republic of China.
J Multidiscip Healthc. 2023 Jan 26;16:251-260. doi: 10.2147/JMDH.S396826. eCollection 2023.
To investigate the willingness of nurses in Yichang to participate in "Internet plus nursing services" and analyze the influencing factors in order to provide reference for the implementation of "Internet plus nursing services".
Using the "Internet plus Nursing Service" questionnaire, a cross-sectional survey was conducted among 1447 nurses in Yichang by convenience sampling from July to September in 2022, and the related influencing factors were analyzed. The questionnaire was composed of two parts: the demographic characteristics and the questionnaire of nurses' willingness to participate in "Internet plus nursing service", including 4 dimensions: awareness, promoting factors, concern factors and training needs. Likert 5-point scoring method was used for scoring. Binary logistic regression was used to screen the variables, and the ROC curve and Nomogram risk prediction model were drawn.
A total of 1233 valid questionnaires were collected. It shows that 76.07% of nurses in Yichang are willing to participate in "Internet plus nursing services". Among them, education background, specialist nurses, awareness, promotion factors, concerns and training needs are the independent influencing factors (all P < 0.05). The area under the ROC curve (AUC) of the prediction model is 0.802, and the consistency index (c-index) of nomogram is 0.800. The average absolute error of internal calibration is 0.014, and the model has good accuracy and discrimination.
Nurses in Yichang have a high willingness to participate in "Internet plus nursing services", a low awareness of the program and a high demand for relevant professional training. It is suggested that the government and hospitals should strengthen the publicity of "Internet plus nursing services", improve relevant laws and regulations and strengthen the construction of specialist nurses' team, so as to provide a good practice environment for nurses' door-to-door service.
调查宜昌市护士参与“互联网+护理服务”的意愿,并分析其影响因素,为“互联网+护理服务”的实施提供参考。
采用“互联网+护理服务”调查问卷,于2022年7月至9月对宜昌市1447名护士进行便利抽样横断面调查,并分析相关影响因素。问卷由两部分组成:人口学特征和护士参与“互联网+护理服务”意愿问卷,包括知晓度、促进因素、关注因素和培训需求4个维度。采用Likert 5级评分法进行评分。采用二元逻辑回归筛选变量,并绘制ROC曲线和列线图风险预测模型。
共收集有效问卷1233份。结果显示,宜昌市76.07%的护士愿意参与“互联网+护理服务”。其中,学历、专科护士、知晓度、促进因素、关注因素和培训需求是独立影响因素(均P<0.05)。预测模型的ROC曲线下面积(AUC)为0.802,列线图的一致性指数(c-index)为0.800。内部校准的平均绝对误差为0.014,模型具有良好的准确性和区分度。
宜昌市护士参与“互联网+护理服务”的意愿较高,对该项目的知晓度较低,对相关专业培训的需求较高。建议政府和医院加强“互联网+护理服务”的宣传,完善相关法律法规,加强专科护士队伍建设,为护士上门服务提供良好的实践环境。