Investigation on Nurses’ Willingness to “Internet + Nursing Service” and Analysis of Influencing Factors

Abstract

Fei Tian,1,* Zuyang Xi,1,* Ling Ai,2 Xiaojing Zhou,1 Zhaohui Zhang,1,* Jinglan Liu,1 Yuanyuan Mi,3 Shengmin Gui,1 Chaxiang Li,1 Min Liu1 1The First College of Clinical Medical Science, China Three Gorges University, Teaching and Research Section of Clinical Nursing, Yichang, People’s Republic of China; 2Nursing Department, China Xingshan County People’s Hospital, Xingshan, People’s Republic of China; 3Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China*These authors contributed equally to this workCorrespondence: Fei Tian, The First College of Clinical Medical Science, China Three Gorges University, Teaching and Research Section of Clinical Nursing, Yichang, 433000, People’s Republic of China, Tel [phone], Email [email protected]: 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”.Methods: 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.Results: 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.Conclusion: 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.Keywords: internet plus nursing services, willingness, influencing factors

Keywords

• internet plus nursing services
• willingness
• influencing factors