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AnteayerJournal of Nursing Scholarship

Big data research in nursing: A bibliometric exploration of themes and publications

Abstract

Aims

To comprehend the current research hotspots and emerging trends in big data research within the global nursing domain.

Design

Bibliometric analysis.

Methods

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.

Results

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.

Conclusions

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.

Clinical Relevance

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.

Relations between concussion symptoms and depression among patients with mild traumatic brain injury: A moderated mediation model

Abstract

Introduction

Concussion symptoms following a traumatic accident are both common and known to adversely affect mental health and recovery in patients with traumatic brain injury. Depression, highly prevalent among patients with traumatic brain injury, is also associated with the important factors of sleep quality and resilience. However, the mediator and moderator roles of depression following concussion in patients with traumatic brain injury have been underexplored. The aims of this study were to investigate the mediating role of sleep quality in the relation between concussion symptoms and depression and to examine the moderating effect of resilience on this mediated model.

Design

Cross-sectional pretest data analysis of a randomized controlled trial.

Methods

A total of 249 adult patients with mild traumatic brain injury (Glasgow Coma Scale 13–15) at admission following brain injury were surveyed at a medical center in Taipei, Taiwan. The outcome variables were concussion symptoms (Rivermead Post-Concussion Symptom Questionnaire), sleep quality (Pittsburgh Sleep Quality Index), resilience (Resilience Scale for Adults), and depression (Beck Depression Inventory II). These data were analyzed using moderated mediation regressions with the SPSS PROCESS macro.

Results

In patients with mild traumatic brain injury, there was a significant positive relation between concussion symptoms and depression, of which sleep quality was a significant mediator. Additionally, resilience had a negative moderating effect on the relations between sleep quality and depression. Patients with less resilience showed a stronger negative effect of sleep quality on depression.

Conclusion

Our findings suggest that ameliorating both concussion symptoms and sleep disturbance is important for reducing the risk of depression in patients with mild traumatic brain injury, especially in those patients with less resilience.

Clinical Relevance

It is essential for clinical nurses to develop interventions for patients with mild traumatic brain injury that will improve their sleep quality, while strengthening their resilience, to alleviate depression.

The future of open access, open science, and research dissemination

Journal of Nursing Scholarship, Volume 55, Issue 6, Page 1085-1086, November 2023.

How the public perceives the “good nurse” in China: A content analysis of national newspapers

Abstract

Introduction

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.

Design

A content analysis of the newspaper articles citing nurses that have been published since each newspaper was established.

Method

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.

Results

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.

Conclusion

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.

Clinical Relevance

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.

Perceptions of society regarding the concept of nurse: A metaphorical study

Abstract

Introduction

Metaphors are one of the most effective linguistic tools that are used to reveal how society describes nursing and what their vision of nursing is and to understand how effective the roles and responsibilities assumed by nurses in a multidisciplinary healthcare team are in protecting and maintaining the health of individuals, families, and society.

Aim

The aim of this study was to reveal the perceptions of society about “nurses” through metaphors.

Methods

The study was planned with a mixed design involving qualitative and quantitative research methods. It was carried out with 810 people living in Turkey who were between the ages of 15 and 65 and voluntarily participated in the study. Each participant was asked to fill in the blanks in the sentence, “A nurse is like a/an………………because…………” The data were analyzed by using qualitative (content analysis) and quantitative (chi-squared) data analysis methods.

Results

It was determined that the participants produced 194 metaphors related to the concept of a “nurse.” It was observed that they frequently used metaphors of “angel,” “parent,” “doctor's assistant/right hand,” “lifesaver,” and “confidant” regarding the concept of nurse and conceptualized a nurse as “Beneficial/Helpful/Healer/Facilitator.”

Conclusions and Clinical relevance

The results showed that the awareness and perception of society toward nurses should be improved on the basis of the opportunity created by the COVID-19 pandemic period, and the concepts should be introduced to younger generations in a wider framework under the leadership of nursing faculties.

Healthcare providers screening for childhood abuse among adult patients in Saudi Arabia: A cross‐sectional study

Abstract

Introduction

Childhood abuse could potentially cause negative health consequences later in life, where they influence individuals' physiological, psychological, and behavioral health. Screening for ACEs is not widely incorporated during routine primary healthcare. The information about past childhood abuse screening among adult patients is elusive. The aim of the study was to investigate healthcare providers (HCPs) practices, skills, attitudes, and perceived barriers related to past childhood abuse screening among adult patients in Saudi Arabia.

Design

Cross-sectional study.

Methods

Data were collected from healthcare facilities in the Riyadh and Madinah regions of Saudi Arabia using a self-reported questionnaire.

Results

A total of 126 HCPs completed the survey. Less than one-third of the HCPs reported routinely (usually or always) screening for childhood abuse. HCPs were more concerned that they would offend their patients by examining history of adversities. HCP practice location, the extent to which they think it is part of their responsibilities to screen for history of adversities, and their self-reported of adverse childhood experiences were significantly associated with screening practices for childhood abuse. Four perceived barriers were significantly associated with HCP screening.

Conclusion

Screening for past adversities is vital for identifying childhood trauma among the public; therefore, we might participate in reducing childhood trauma and further controlling consequences in the future. Developing a screening form for childhood abuse or adversities and providing this form in healthcare settings are appropriate at this stage.

Clinical Relevance

Early screening for ACEs is recommended, which prioritizes health promotion and disease prevention. It is highly needed to increase HCP awareness toward childhood abuse, screening for it, and reflection on it.

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