Zhou Qi, Xu Yiqing, Yang Lili, Menhas Rashid
The Fourth Affiliated Hospital of School of Medicine, Zhejiang University, Yiwu, Zhejiang, China.
Cardiopulmonary Sciences, School of Allied Health Professions, Loma Linda University, Loma Linda, USA.
Int J Nurs Sci. 2023 Dec 13;11(1):99-105. doi: 10.1016/j.ijnss.2023.12.005. eCollection 2024 Jan.
This study aimed to explore the public and medical professionals' concerns and attitudes toward nurse prescribing using text-mining method to analyze social media data.
Python was used to automatically mine data related to the keywords "nurse prescribing" and "prescription" that were posted on four Chinese internet platforms between January 1, 2017, and November 1, 2022. The four Chinese internet platforms included social media sites such as Zhihu and Weibo, as well as medical forums like Aiaiyi Medical Hotspot and Dingxiangyuan Medicine. We conducted personnel, topic, and sentiment analysis techniques using SnowNLP, Bayesian Latent Dirichlet Allocation (LDA), and BosonNLP. Finally, we conducted content analysis using Nvivo 11 based on the results of the topic and sentiment analysis to obtain comprehensive and insightful results.
We acquired 2,823 comments totaling 92,859 words on the four Internet platforms to conduct analysis. The analyze result showed that many public and medical professionals held a negative attitude toward nurse prescribing, and few had a prudent positive attitude. The public is concerned about the impact of nurse prescribing on medical professionals and the competency requirements for nurses. Medical professionals are concerned about the current and future status of nurse prescribing in China and the difficulties in implementing nurse prescribing.
Nurses should gradually gain recognition for their expertise and win the acceptance of the public and medical professionals on their ability of nursing prescribing by striving to enhance their professional capacity and self-authorization capabilities. Nurse administrators and educators need to recognize the advantages of nurse prescribing and address the challenges and issues in its implementation through promoting legislation, education, and heightening public awareness of its benefits.
本研究旨在通过文本挖掘方法分析社交媒体数据,探讨公众和医学专业人员对护士处方权的关注及态度。
使用Python自动挖掘2017年1月1日至2022年11月1日期间在四个中文互联网平台上发布的与关键词“护士处方权”和“处方”相关的数据。这四个中文互联网平台包括知乎、微博等社交媒体网站,以及爱医医疗热点、丁香园医学等医学论坛。我们使用SnowNLP、贝叶斯潜在狄利克雷分配(LDA)和玻森自然语言处理(BosonNLP)进行人员、主题和情感分析技术。最后,我们基于主题和情感分析的结果,使用Nvivo 11进行内容分析,以获得全面且有深度的结果。
我们在四个互联网平台上获取了2823条评论,共计92859个单词进行分析。分析结果显示,许多公众和医学专业人员对护士处方权持负面态度,只有少数人持谨慎的积极态度。公众关注护士处方权对医学专业人员的影响以及护士的能力要求。医学专业人员关注中国护士处方权的现状和未来状况以及实施护士处方权的困难。
护士应通过努力提升专业能力和自我授权能力,逐步获得对其专业知识的认可,并赢得公众和医学专业人员对其护理处方能力的接受。护士管理人员和教育工作者需要认识到护士处方权的优势,并通过推动立法、教育以及提高公众对其益处的认识来应对实施过程中的挑战和问题。