Conectar
To comprehend the current research hotspots and emerging trends in big data research within the global nursing domain.
Bibliometric analysis.
The quality articles for analysis indexed by the science core collection were obtained from the Web of Science database as of February 10, 2023.The descriptive, visual analysis and text mining were realized by CiteSpace and VOSviewer.
The research on big data in the nursing field has experienced steady growth over the past decade. A total of 45 core authors and 17 core journals around the world have contributed to this field. The author's keyword analysis has revealed five distinct clusters of research focus. These encompass machine/deep learning and artificial intelligence, natural language processing, big data analytics and data science, IoT and cloud computing, and the development of prediction models through data mining. Furthermore, a comparative examination was conducted with data spanning from 1980 to 2016, and an extended analysis was performed covering the years from 1980 to 2019. This bibliometric mapping comparison allowed for the identification of prevailing research trends and the pinpointing of potential future research hotspots within the field.
The fusion of data mining and nursing research has steadily advanced and become more refined over time. Technologically, it has expanded from initial natural language processing to encompass machine learning, deep learning, artificial intelligence, and data mining approach that amalgamates multiple technologies. Professionally, it has progressed from addressing patient safety and pressure ulcers to encompassing chronic diseases, critical care, emergency response, community and nursing home settings, and specific diseases (Cardiovascular diseases, diabetes, stroke, etc.). The convergence of IoT, cloud computing, fog computing, and big data processing has opened new avenues for research in geriatric nursing management and community care. However, a global imbalance exists in utilizing big data in nursing research, emphasizing the need to enhance data science literacy among clinical staff worldwide to advance this field.
This study focused on the thematic trends and evolution of research on the big data in nursing research. Moreover, this study may contribute to the understanding of researchers, journals, and countries around the world and generate the possible collaborations of them to promote the development of big data in nursing science.
The COVID-19 pandemic has had a tremendous impact on healthcare systems worldwide. In particular, long-term care facilities have proved more susceptible to infection as they care for vulnerable populations at high risk of chronic illness. How this impacts the role and core competencies of health and care workers in these facilities remains less understood.
Describe how health and care workers contribute to the prevention of emerging infectious diseases in long-term care facilities.
A scoping review.
A systematic search of literature dating from 2002 to 2022 was conducted in the following databases: EMBASE, Medline (Ovid), Cochrane Library, CINAHL Plus with Full Text (EBSCOhost), Web of Science, and AgeLine. Studies were selected if they focused on health and care workers in long-term care facilities, offered a perspective on the prevention of emerging infectious diseases or infection prevention and control, and were original qualitative or quantitative studies in English. Data were extracted, cross-checked and analyzed by two researchers, and any difference in views regarding the appropriateness of literature would be resolved by consulting a third researcher. An inductive descriptive approach was applied for the analysis of results, and themes were established via consensus meetings.
A total of fourteen studies from Asia, Europe, and the Americas were included. Three themes emerged from the review: “The roles of health and care workers evolve with the times”, “The core competencies of health and care workers are essential for preventing emerging infectious diseases in long-term care facilities” and “The key to successful prevention of emerging infectious diseases in long-term care facilities is through a systematic, comprehensive effort that mobilize health and care workers at all levels”. Health and care workers had to take on increasingly complex roles and rely on their core competencies to cope with epidemic changes, and facility resources, employee quality and management models were found to have significantly improved infection prevention and control outcomes.
The roles of health and care workers are evolving, and effective infection prevention within long-term care facilities depends on their ability to perform core competencies with skill and confidence. Moreover, a systematic, comprehensive framework, for which this paper proposes three guidelines, is urgently needed to ensure consistent policy implementation within the facility as well as support and access to resources for health and care workers.
Infection prevention efforts within long-term care facilities must take into account the evolving roles of health and care workers, with a focus on guaranteeing access to resources, training and support that will help them gain the core competencies necessary for juggling those roles. In addition, there is an urgent need for research instruments that will help assess those competencies and identify areas of improvement.
Newspapers are a predominant channel through which the Chinese public learns about nurses and the nursing profession. However, little nursing research has been performed in China to investigate the newspaper portrayal of nurses, and how the public perceives the role of nurses in the Chinese context is still an ambiguous phenomenon. This study aimed to clarify the public portrayals of nurses in China, and to analyze whether there are changes over time in news content related to nurses in the national newspapers.
A content analysis of the newspaper articles citing nurses that have been published since each newspaper was established.
We selected two national daily newspapers as sources to systematically search for articles about nurses from 1949 to 2022. A coding instrument was developed to quantitatively extract the contents of the articles identified. Then, using a mixed methods approach, we analyzed newspaper content to show the roles of nurses presented to the public by the media.
A total of 317 articles were analyzed. Nurses have been depicted with heterogeneous images in both newspapers with positive wordings and up to 28 types of public images. More than half of the articles portrayed two, three, or more types of images. Among the images of nurses identified, “overworked” appeared the most frequently, followed by “dedicated,” “philanthropic and benevolent,” and “with a sense of responsibility,” and then “technically skilled.” By analyzing the image of nurses in both newspapers over time, we found that images related to virtue have largely increased with time, while images about professionalism have decreased.
Nursing continues to be depicted as a virtuous caregiving profession, often forgetting the wide need for knowledge, skill, and expertise required in the occupation. The public image of nurses portrayed in the national newspapers does not accurately match their actual roles.
The public image of nurses portrayed in the national newspapers does not accurately match their actual roles. To actualize a professional role and increase social status of nurses, intentional image management is needed. Nursing schools, nursing associations, and nursing professionals should be more proactive in overcoming the stereotypical image portrayed of them and use the news media as a tool to invite attention from and dialogue with the public about the value of nursing to reframe the public's understanding of the expert role of the professional nurse in health care and to create a new and more professional image for nursing.
FreshRSS 