[Application of Artificial Intelligence Models in Nursing Research].

In recent years, the rapid development of artificial intelligence has enhanced the efficiency of medical services, accuracy of disease prediction, and innovation in the healthcare industry. Among the many advances, machine learning has become a focal point of development in various fields. Although its use in nursing research and clinical care has been limited, technological progress promises broader applications of machine learning in these areas in the future. In this paper, the authors discuss the application of machine learning in nursing research and care. First, the types and classifications of machine learning are introduced. Next, common neural machine learning models, including recurrent neural networks, transformers, and natural language processing, are described and analyzed. Subsequently, the principles and steps of machine learning are explored and compared to traditional statistical methods, highlighting the quality-monitoring strategies used by machine learning models and the potential limitations and challenges of using machine learning. Finally, interdisciplinary collaboration is encouraged to share knowledge between information technology and nursing disciplines, analyze the advantages and disadvantages of various analytical models, continuously review the research process, and reflect on methodological limitations. Following this course, can help maximize the potential of artificial-intelligence-based technologies to drive innovation and progress in nursing research.

Publication patterns of graduates from a DNP program with submission of a manuscript as a degree requirement.

BACKGROUND: Nurses who earn a Doctor of Nursing Practice (DNP) degree are expected to make essential contributions to the scholarship of practice and the improvement of health care outcomes. The DNP program at Duke University School of Nursing requires that students demonstrate scholarship competence by writing a manuscript based on their DNP project and submitting it for publication. PURPOSE: The purpose of this article is to share an evaluation of the effectiveness of this approach. METHODS: The authors used a bibliometric study design. RESULTS: This study demonstrates that manuscripts authored by students based on the DNP projects they conduct while earning their DNP degree can be published and are cited by other scholars. Additionally, the majority of these authors continue to publish scholarly work in the nursing and broader health-focused literature after they graduate. CONCLUSION: Nurses who developed and submit manuscripts for publication based on their DNP project contribute to the literature and evidence base for practice.

Analysis of care and gender stereotypes in nursing scientific research: a scoping review.

OBJECTIVE: To map evidence about care and gender stereotypes in nursing scientific research. METHOD: A scoping review developed under the JBI framework with analysis of gender perspective in care approaches. The searches were carried out on January 31, 2023 in SciELO, Scopus, CINAHL, PubMed, BDENF. RESULTS: Of the 3,743 studies located, 25 were included. Evidence was grouped into categories: essentially female care (n = 9; 36%); calling and service of love (n = 3; 12%); erasure of gender inequalities (n = 2; 8%); "inadequate and harmful" care (n = 5; 20%); neutralization of gender and bodies (n = 3; 12%); and reporting oppression in care work (n = 3; 12%). CONCLUSION: Most scientific research on care reproduces gender stereotypes that reinforce the oppression of women in nursing. In contrast, resistance denounces naturalization of care as "inadequate and harmful", for perpetuating gender oppression in care work.

The use of bibliometrics in nursing science: Topics, data sources and contributions to research and practice.

AIM: To describe the use of bibliometrics in nursing and assess their contribution to research and practice. DESIGN: A content analysis was conducted of topics, data sources and applications of bibliometrics in nursing research articles. METHODS: The study universe included 129 bibliometric articles on nursing retrieved from Scopus. A content analysis was performed to identify the purposes and topics of the articles, the sources employed to collect the data, the time frames covered, the amounts of records surveyed, and the features of the nursing literature analysed in bibliometric papers. RESULTS: Nursing bibliometric research revolves around six key areas: global descriptions of the nursing literature, literature on specific nursing research topics, nursing education, nursing profession, nursing research using a certain framework or method, and nursing literature published in a country or region. Studies rely on three types of sources to retrieve the surveyed literature: bibliographic databases, sets of disciplinary journals and samples of documents. Bibliometrics can be employed to advance nursing research (identification of research gaps, establishment of research agendas, assessment of methodological approaches, etc.) and practice (identification of professional competences, categorisation of professional tasks, recognition of educational improvements, etc.), suggesting new avenues for researchers who aim to conduct further bibliometric research in the field. Further research is needed to assess the coverage of the nursing literature by new bibliographic data sources and to explore unaddressed topics such as gender imbalance in authorship.

The global status of nursing research on hemodialysis: A bibliometric and visualized analysis.

BACKGROUND: Hemodialysis (HD)-related nursing research has been growing over the past 2 decades, providing critical insights into improving patient care and outcomes. This study aimed to visualize the hotspots and emerging frontiers in HD-related nursing research, offering valuable references for future studies. METHODS: A bibliometric analysis was conducted on publications related to HD nursing research from the Web of Science Core Collection database, spanning the years 2002 to 2023, and the characteristics of literature such as authors, co-cited authors, countries, research institutions, journal distribution, keywords, and cited literature were visually analyzed using CiteSpace and VOSviewer. RESULTS: A total of 1019 publications were included in this study. The major contributors to this field were the United States, China, and Australia. The University of Sao Paulo emerged as the most prolific institution. The principal contributors were the Nephrology Nursing Journal, followed by Journal of Renal Care and Journal of Clinical Nursing. The top 5 co-occurrence keywords included HD, quality of life, dialysis, chronic kidney disease, and end-stage renal disease. The burst detection of keywords showed that current research frontier trends were pain and validation. The top 5 largest clusters of cited references included research on systematic review research, nurse-led disease management program, family caregiver, end-stage renal disease, and self-care intervention. CONCLUSION: This study reveals productive authors, countries and institutions, research hotspots, and trends of HD-related nursing research over the past 2 decades, offering a comprehensive overview of this field worldwide.

Exploring the Evidence: Generating a Research Question: Using the PICOT Framework for Clinical Inquiry.

The PICOT (Population, Intervention, Comparison, Out - come, Timeframe) framework succinctly gives structure to developing and solving a research or clinical question. It acts as a framework to assist a researcher or clinician to drill down to the essence of their question. This guides the researcher or clinician to formulate exact questions, identify relevant research or evidence, and tailor interventions to address the problem or challenging situation they are looking to solve or resolve. This article describes the PICOT framework and utilizes a clinical case study to illustrate its applicability and implementation.

Including the Sustainable Development Goals in Nursing Scholarship.

A call to action.

An Introduction to the Crossover Trial Design.

Editor's note: This is the 23rd article in a series on clinical research by nurses. The series is designed to be used as a resource for nurses to understand the concepts and principles essential to research. Each column will present the concepts that underpin evidence-based practice-from research design to data interpretation. To see all the articles in the series, go to https://links.lww.com/AJN/A204.

A visualized and bibliometric analysis of nursing research during the COVID-19 pandemic.

BACKGROUND: The global spread of Coronavirus disease 2019 (COVID-19) has been increasing since December 2019. A total of 8460 publications were obtained from the Web of Science Core Collection from 2019 to 2023, providing insights into the progress of nursing research throughout the COVID-19 pandemic. METHODS: Bibliometric analysis was conducted on these articles using CiteSpace. The analysis focused on examining the distribution of these publications in terms of space and time, distribution of authors, subject categories, distribution of topics, and cited references. RESULTS: These results may be explained from 3 perspectives. Initially, the number of yearly publications on nursing research consistently increased during the COVID-19 pandemic. Furthermore, a co-occurrence analysis of the countries and the authors revealed that certain countries, including the United States, China, and England, have successfully implemented organized and standardized nursing models. These countries also have well-developed and established nursing research systems. Notably, academic communities in specific regions, such as the team led by MD Stefan Gravenstein, Mor Vincent, and White Elizabeth at Brown University in the United States, have emerged as leaders in this field. Furthermore, examining the papers' subject categories and topic distribution indicate that nursing during the COVID-19 pandemic has been predominantly interdisciplinary, encompassing various disciplines such as clinical medicine, essential medicine, psychology, public health management, and even telematics science. CONCLUSION SUBSECTIONGS: Our study provided valuable insights into acquiring knowledge on nursing research during the COVID-19 pandemic, pinpointed possible partners for researchers interested in nursing, and uncovered prevalent research patterns and popular subjects.

Building Research Capacity: A Case Study of a Registered Practical Nurse's Research Fellowship.

A research fellowship geared toward registered practical nurses was designed to support the nurse's knowledge development in practice-based research. In this paper, we describe a six-month fellowship experience, which comprised research education, application and mentorship. Through the implementation of the research fellowship, we identified six components necessary for success, which include program infrastructure, application of training and leadership development. The research fellowship framework can support nurse leaders in the professional development of their nursing staff through building research capacity. Our fellowship description can also help guide the implementation of similar initiatives at other acute care sites.

Current Status of Translational Science in Nursing Across Four Countries.

The raison d'être of nursing is caring for human beings. Mainly due to its close link to the nursing discipline's raison d'être, "caring," translational science is recently getting more attention from nursing scientists across the globe. This paper is to discuss the current status of translational science in nursing across four countries (the USA, Taiwan, South Korea, and Japan). The data used in this discussion paper included: (a) written notes on issues related translational research/science in individual countries; (b) written memos on exemplars/cases from their own experiences; and (c) summaries of literature reviews. The data analysis was conducted using a simple content analysis. Four themes reflecting the current status of translational science across the countries were identified: (a) "contextualized in unique culture and history of nursing"; (b) "connecting basic science to clinical practice"; (c) "an extension of evidence-based practice"; and (d) "highly promoted, but still minimal translation of nursing knowledge."