Attitudes of the public and medical professionals toward nurse prescribing: A text-mining study based on social medias

IF 2.9 3区 医学 Q1 NURSING
Qi Zhou , Yiqing Xu , Lili Yang , Rashid Menhas
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引用次数: 0

Abstract

Objectives

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.

Methods

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.

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.

Conclusion

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.

公众和医务人员对护士开处方的态度:基于社交媒体的文本挖掘研究
方法 使用Python自动挖掘2017年1月1日至2022年11月1日期间在中国四个互联网平台上发布的与关键词 "护士开处方 "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,以及爱医热点、丁香园医学等医学论坛。我们使用 SnowNLP、贝叶斯潜在 Dirichlet 分配(LDA)和 BosonNLP 进行了人员、主题和情感分析。最后,我们根据主题分析和情感分析的结果,使用 Nvivo 11 进行了内容分析,得出了全面而深刻的结果。分析结果显示,许多公众和医务人员对护士开处方持否定态度,持审慎积极态度的人很少。公众担心护士开处方对医务人员的影响以及对护士能力的要求。结论护士应通过努力提高自身的专业能力和自我授权能力,逐步获得专业知识的认可,赢得公众和医务人员对其护理处方能力的认同。护士管理者和教育者需要认识到护士处方的优势,并通过促进立法、教育和提高公众对其益处的认识来应对其实施过程中的挑战和问题。
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来源期刊
CiteScore
6.10
自引率
2.60%
发文量
408
审稿时长
25 days
期刊介绍: This journal aims to promote excellence in nursing and health care through the dissemination of the latest, evidence-based, peer-reviewed clinical information and original research, providing an international platform for exchanging knowledge, research findings and nursing practice experience. This journal covers a wide range of nursing topics such as advanced nursing practice, bio-psychosocial issues related to health, cultural perspectives, lifestyle change as a component of health promotion, chronic disease, including end-of-life care, family care giving. IJNSS publishes four issues per year in Jan/Apr/Jul/Oct. IJNSS intended readership includes practicing nurses in all spheres and at all levels who are committed to advancing practice and professional development on the basis of new knowledge and evidence; managers and senior members of the nursing; nurse educators and nursing students etc. IJNSS seeks to enrich insight into clinical need and the implications for nursing intervention and models of service delivery. Contributions are welcomed from other health professions on issues that have a direct impact on nursing practice.
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