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

OBJECTIVE: 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” questionn...

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Autores principales: Tian, Fei, Xi, Zuyang, Ai, Ling, Zhou, Xiaojing, Zhang, Zhaohui, Liu, Jinglan, Mi, Yuanyuan, Gui, Shengmin, Li, Chaxiang, Liu, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885965/
https://www.ncbi.nlm.nih.gov/pubmed/36726482
http://dx.doi.org/10.2147/JMDH.S396826
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author Tian, Fei
Xi, Zuyang
Ai, Ling
Zhou, Xiaojing
Zhang, Zhaohui
Liu, Jinglan
Mi, Yuanyuan
Gui, Shengmin
Li, Chaxiang
Liu, Min
author_facet Tian, Fei
Xi, Zuyang
Ai, Ling
Zhou, Xiaojing
Zhang, Zhaohui
Liu, Jinglan
Mi, Yuanyuan
Gui, Shengmin
Li, Chaxiang
Liu, Min
author_sort Tian, Fei
collection PubMed
description OBJECTIVE: 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.
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spelling pubmed-98859652023-01-31 Investigation on Nurses’ Willingness to “Internet + Nursing Service” and Analysis of Influencing Factors Tian, Fei Xi, Zuyang Ai, Ling Zhou, Xiaojing Zhang, Zhaohui Liu, Jinglan Mi, Yuanyuan Gui, Shengmin Li, Chaxiang Liu, Min J Multidiscip Healthc Original Research OBJECTIVE: 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. Dove 2023-01-26 /pmc/articles/PMC9885965/ /pubmed/36726482 http://dx.doi.org/10.2147/JMDH.S396826 Text en © 2023 Tian et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Tian, Fei
Xi, Zuyang
Ai, Ling
Zhou, Xiaojing
Zhang, Zhaohui
Liu, Jinglan
Mi, Yuanyuan
Gui, Shengmin
Li, Chaxiang
Liu, Min
Investigation on Nurses’ Willingness to “Internet + Nursing Service” and Analysis of Influencing Factors
title Investigation on Nurses’ Willingness to “Internet + Nursing Service” and Analysis of Influencing Factors
title_full Investigation on Nurses’ Willingness to “Internet + Nursing Service” and Analysis of Influencing Factors
title_fullStr Investigation on Nurses’ Willingness to “Internet + Nursing Service” and Analysis of Influencing Factors
title_full_unstemmed Investigation on Nurses’ Willingness to “Internet + Nursing Service” and Analysis of Influencing Factors
title_short Investigation on Nurses’ Willingness to “Internet + Nursing Service” and Analysis of Influencing Factors
title_sort investigation on nurses’ willingness to “internet + nursing service” and analysis of influencing factors
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885965/
https://www.ncbi.nlm.nih.gov/pubmed/36726482
http://dx.doi.org/10.2147/JMDH.S396826
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