Beyond Hospital-Level Aggregated Data: A Methodology to Adapt Clinical Data From the Electronic Health Record for Nursing Unit-Level Research.

BACKGROUND: Studies of nurse staffing frequently use data aggregated at the hospital level that do not provide the appropriate context to inform unit-level decisions, such as nurse staffing. OBJECTIVES: Describe a method to link patient data collected during the provision of routine care and recorded in the electronic health record (EHR) to the nursing units where care occurred in a national dataset. RESEARCH DESIGN: We identified all Veterans Health Administration acute care hospitalizations in the calendar year 2019 nationwide. We linked patient-level EHR and bar code medication administration data to nursing units using a crosswalk. We divided hospitalizations into segments based on the patient's time-stamped location (ward stays). We calculated the number of ward stays and medication administrations linked to a nursing unit and the unit-level and facility-level mean patient risk scores. RESULTS: We extracted data on 1117 nursing units, 3782 EHR patient locations associated with 1,137,391 ward stays, and 67,772 bar code medication administration locations associated with 147,686,996 medication administrations across 125 Veterans Health Administration facilities. We linked 89.46% of ward stays and 93.10% of medication administrations to a nursing unit. The average (standard deviation) unit-level patient severity across all facilities is 4.71 (1.52), versus 4.53 (0.88) at the facility level. CONCLUSIONS: Identification of units is indispensable for using EHR data to understand unit-level phenomena in nursing research and can provide the context-specific information needed by managers making frontline decisions about staffing.

Combining Critical Ethnography and Critical Discourse Analysis in Mental Health Nursing Research.

BACKGROUND: It is uncommon to combine critical ethnography with critical discourse analysis (CDA) in health research, yet this combination has promise for managing challenges inherent in critical mental health nursing research. OBJECTIVES: This article describes a methodologically innovative way to address issues that arise in the context of critical mental health nursing research. METHODS: This article draws on two studies that each employed a combination of critical ethnography and CDA in the context of mental health nursing research, discussing the challenges and implications of this approach. RESULTS: Although the combination critical ethnography and CDA presents several challenges, it also provides a framework for researchers to sustain a critically reflective stance throughout the research process. This facilitates the process of reanalyzing and reflecting on how healthcare practices and knowledge both support and are constrained by hegemonic discourses. DISCUSSION: This combination has the potential to facilitate the production of new, emancipatory knowledge that will assist nurses in understanding issues of structural inequity within the healthcare system.

Factors Affecting Research Participation Among Specialist Dementia Nurses.

BACKGROUND: Research involvement and engagement is a vital aspect of nursing practice. However, research in dementia care remains limited compared to research focused on finding a cure, presenting a significant gap that specialist dementia nurses (Admiral Nurses) can help bridge by participating in research themselves and facilitating recruitment to research. OBJECTIVES: This study aimed to assess the research involvement and support needs of Admiral Nurses and identify factors affecting their participation in research. This research is particularly timely as Dementia UK has launched its first research strategy, which necessitates strengthening research capacity within Admiral Nursing. METHODS: We used a mixed methods convergent parallel synthesis design, simultaneously collecting quantitative and qualitative data. An online survey was conducted in January 2023, targeting current Admiral Nurses across the United Kingdom. The survey included questions addressing demographics, research experience, goals, barriers, facilitators, and support needs. Data analysis involved descriptive statistics, frequencies, univariate analyses, and thematic analysis. RESULTS: A positive relationship was found between the highest level of academic achievement and current or previous research involvement, as well as interest in becoming involved in research in the future. Although most nurses recognized the importance of research, only half reported current or past research involvement, indicating a need for increased support. A lack of access and opportunities for peer discussion hindered engagement with research findings. Time constraints, lack of support, and low confidence were major barriers to research involvement. Support needs varied but included mentorship, coaching, and the potential for a community of practice for research. DISCUSSION: This survey of Admiral Nurses sheds light on their research involvement, support needs, and barriers to participation. Recognizing the significance of research while identifying challenges and support requirements is crucial for enhancing research capacity among these specialized nurses. This study contributes valuable insights into the world of specialist dementia nursing and lays the foundation for future strategies to increase research engagement in this field.

The Arcus Experience: Bridging the Data Science Gap for Nurse Researchers.

BACKGROUND: For years, nurse researchers have been called upon to engage with "big data" in the electronic health record (EHR) by leading studies focusing on nurse-centric patient outcomes and providing clinical analysis of potential outcome indicators. However, the current gap in nurses' data science education and training poses a significant barrier. OBJECTIVES: We aimed to evaluate the viability of conducting nurse-led, big-data research projects within a custom-designed computational laboratory and examine the support required by a team of researchers with little to no big-data experience. METHODS: Four nurse-led research teams developed a research question reliant on existing EHR data. Each team was given its own virtual computational laboratory populated with raw data. A data science education team provided instruction in coding languages-primarily structured query language and R-and data science techniques to organize and analyze the data. RESULTS: Three research teams have completed studies, resulting in one manuscript currently undergoing peer review and two manuscripts in progress. The final team is performing data analysis. Five barriers and five facilitators to big-data projects were identified. DISCUSSION: As the data science learning curve is steep, organizations need to help bridge the gap between what is currently taught in doctoral nursing programs and what is required of clinical nurse researchers to successfully engage in big-data methods. In addition, clinical nurse researchers require protected research time and a data science infrastructure that supports novice efforts with education, mentorship, and computational laboratory resources.

How the public perceives the "good nurse" in China: A content analysis of national newspapers.

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.

The importance of transparency: Declaring the use of generative artificial intelligence (AI) in academic writing.

The integration of generative artificial intelligence (AI) into academic research writing has revolutionized the field, offering powerful tools like ChatGPT and Bard to aid researchers in content generation and idea enhancement. We explore the current state of transparency regarding generative AI use in nursing academic research journals, emphasizing the need for explicitly declaring the use of generative AI by authors in the manuscript. Out of 125 nursing studies journals, 37.6% required explicit statements about generative AI use in their authors' guidelines. No significant differences in impact factors or journal categories were found between journals with and without such requirement. A similar evaluation of medicine, general and internal journals showed a lower percentage (14.5%) including the information about generative AI usage. Declaring generative AI tool usage is crucial for maintaining the transparency and credibility in academic writing. Additionally, extending the requirement for AI usage declarations to journal reviewers can enhance the quality of peer review and combat predatory journals in the academic publishing landscape. Our study highlights the need for active participation from nursing researchers in discussions surrounding standardization of generative AI declaration in academic research writing.

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

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.

An examination of retracted articles in nursing literature.

INTRODUCTION: The output of scholarly publications in scientific literature has increased exponentially in recent years. This increase in literature has been accompanied by an increase in retractions. Although some of these may be attributed to publishing errors, many are the result of unsavory research practices. The purposes of this study were to identify the number of retracted articles in nursing and reasons for the retractions, analyze the retraction notices, and determine the length of time for an article in nursing to be retracted. DESIGN: This was an exploratory study. METHODS: A search of PubMed/MEDLINE, the Cumulative Index to Nursing and Allied Health Literature, and Retraction Watch databases was conducted to identify retracted articles in nursing and their retraction notices. RESULTS: Between 1997 and 2022, 123 articles published in the nursing literature were retracted. Ten different reasons for retraction were used to categorize these articles with one-third of the retractions (n = 37, 30.1%) not specifying a reason. Sixty-eight percent (n = 77) were retracted because of an actual or a potential ethical concern: duplicate publication, data issues, plagiarism, authorship issues, and copyright. CONCLUSION: Nurses rely on nursing-specific scholarly literature as evidence for clinical decisions. The findings demonstrated that retractions are increasing within published nursing literature. In addition, it was evident that retraction notices do not prevent previously published work from being cited. This study addressed a gap in knowledge about article retractions specific to nursing.

Exploring feminist political economy and feminist critical discourse analysis as methodologies in critical nursing research.

AIMS: This paper explores two critical feminist methodologies for nursing research: feminist political economy and feminist critical discourse analysis. The aim was to appreciate varied methodological approaches available for nurses to understand complexities in healthcare environments, above and beyond socially normative ways of knowing. DESIGN: Discursive paper. DATA SOURCES: Published articles from nursing databases (CINAHL and ProQuest; no date restrictions) and interdisciplinary databases (Women's Studies International, Sociological Abstracts and Ovid MEDLINE; publication dates between 2017 and 2022). METHODS: A discursive paper exploring and critically synthesizing the literature on feminist political economy and feminist critical discourse analysis to demonstrate how each methodological approach can be used in nursing. RESULTS: The findings of this discursive paper suggest there is an opportunity to draw on interdisciplinary studies for creative insights into how these methodologies may be helpful for nurses' scholarship and programmes of research. Although few nursing studies explicitly name a feminist political economy or feminist critical discourse analysis approach, several studies apply principles of these methodological approaches. CONCLUSION: There is an opportunity for these methodologies to be applied within the same project when there is a fit between the research questions and aims of both methodologies (studies where notions of gender and power are considered central and there are potential insights from exploring social progress, structures and the material, along with the social relations of discourses). IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: Feminist political economy and feminist critical discourse analysis offer novel options for methodological analyses. IMPACT: Application of these methodologies may benefit critical nursing scholars looking for diverse critical methodological avenues to explore and to broaden nursing's methodological toolbox towards meeting social justice aims. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Evolving Nursing Research Priorities: A Unified Vision for Advancing the Nursing Profession.

The American Nurses Association Enterprise (ANA Enterprise) Research Advisory Council plays a vital role in bringing nursing voices together and shaping the dynamic landscape of nursing research. Historically, its priorities have revolved around 4 pivotal research priorities: advancing research capacity, promoting interprofessional collaboration, enhancing data structures and governance, and propelling practice-based nursing research. In a remarkable transition, the 2024 Research Priorities of the ANA Enterprise Research Advisory Council align with the vision and strategic goals of the ANA Enterprise. The Council now places emphasis on the intersection of the research priorities with 5 key areas crucial for "elevating the profession of nursing globally": workforce development; advancing nurse well-being practices; deepening understanding of diversity, equity, inclusion, and belonging; expanding scope of practice; and measuring the value of nursing. This approach provides clear guidance for nursing research efforts, demonstrating a dedicated effort to harmonize the diverse voices within the nursing community. The objective is to shape a future where nursing research not only serves to inform practice but also enhances the overall value and impact of the nursing profession globally.

Surveillance and patient safety in nursing research: A bibliometric analysis from 1993 to 2023.

AIMS: To identify and characterize the thematic foci, structure and evolution of nursing research on surveillance and patient safety. DESIGN: Bibliometric analysis. METHODS: Bibliometric methods were employed to analyse 1145 articles, using Bibliometrix and VOSviewer software. DATA SOURCE: The Scopus bibliographic database was searched on April 7, 2023. RESULTS: A keyword co-occurrence analysis found the most frequently occurring keywords to be: patient safety, nursing, nurses, adverse events, monitoring, critical care, quality improvement, vital signs, safety, alarm fatigue, education, nursing care, surveillance, clinical alarms, failure to rescue, evidence-based practice, acute care, clinical deterioration, communication, intensive care. Network mapping, clustering and time-tracking of the keywords revealed the focal themes, structure and evolution of the research field. CONCLUSION: By assessing critical areas of the nursing research field, this study extends and enriches the current discourse on surveillance and patient safety for nursing researchers and practitioners. Critical challenges still have to be met by nurses, however, including the failure to rescue deteriorating patients. Further knowledge and understanding of surveillance and patient safety must be successfully translated from research to practice. IMPLICATIONS FOR THE PROFESSION: This study highlights the gaps in nursing knowledge with regard to surveillance and patient safety and encourages nursing professionals to turn to evidence-based surveillance practices. IMPACT: In addressing the problem of surveillance and its effect on patient safety, this study found that, in most clinical care settings, preventing failures to rescue and adverse patient outcomes still remains a challenge for the nursing profession. This study should have an impact on nursing academics' future research themes and on nursing professionals' future clinical practices. REPORTING METHOD: Relevant EQUATOR guidelines have been adhered to by employing recognized bibliometric reporting methods.

Phenomenography: An emerging qualitative research design for nursing.

BACKGROUND: Phenomenography emerged from pedagogy to examine the qualitatively different ways that individuals experience and perceive the same phenomenon. Despite its uniqueness, the uptake of phenomenography in nursing research is still limited. Potentially, this may be related to confusion regarding what the design is about, its philosophical underpinnings and how distinct it is from other qualitative designs. OBJECTIVES: To offer a better understanding of phenomenography by comparing it with other established qualitative research designs, examining its theoretical foundations, highlighting some studies that have employed the approach in nursing and offering methodological guidance to improve its uptake in nursing. DESIGN: Discussion paper. FINDINGS: Compared to the traditional qualitative designs employed in nursing, phenomenography has been utilized in fewer studies. The ontological, epistemological and methodological basis of phenomenography highlights it as a distinct design. The strength of phenomenography lies in its emphasis on understanding the collective variations between participants and presenting these holistically as an 'outcome space'. DISCUSSION: Phenomenography is a distinct qualitative research approach that presents a unique opportunity for nursing to further its use. Issues regarding bracketing, the inclusion of phenomenography studies in qualitative meta-synthesis and employing a hermeneutic approach to phenomenography are avenues for further work in nursing. PATIENT AND PUBLIC CONTRIBUTION: No patient or public contribution.

The Listening Guide: Illustrating an underused voice-centred methodology to foreground underrepresented research populations.

AIM: To highlight the value of utilizing the Listening Guide methodology for nursing research and provide an exemplar applying this methodology to explore a novel concept in an underrepresented group-inner strength in persons newly diagnosed with mild cognitive impairment along with their care partners. DESIGN: Methodology discussion paper. METHODS: The exemplar study used the Listening Guide methods for data elicitation and analysis. Methods included adaptations for the study population and novice qualitative researchers. RESULTS: The Listening Guide methodology with adaptations enabled the research team to centre the voices of persons living with mild cognitive impairment, highlight an abstract phenomenon and attend to the influences of the sociopolitical context. Further, this methodology helped address common challenges emerging qualitative researchers encounter, including understanding methods of application, engaging reflexively and immersing in the data. CONCLUSION: The Listening Guide is a voice-centred qualitative methodology that is well suited to foreground the experiences of groups underrepresented in research and explore emerging phenomena. IMPLICATIONS FOR NURSING: Nurses are central to striving for health equity. The Listening Guide methodology offers a valuable and accessible research tool to understand the experiences and needs of underrepresented groups and shape healthcare in response. IMPACT: The Listening Guide methodology can be broadly applied to research with persons with mild cognitive impairment, and other underrepresented groups, to explore other phenomena beyond inner strength and move the science forward in representing the perspectives of groups underrepresented by research. PATIENT OR PUBLIC CONTRIBUTION: Persons living with cognitive impairment and their care partners participated in study conceptualization, interview guide development, methods development and dissemination plans.

An Effective Academic Medical Center-Based Strategy to Enhance Diversity Among Nurse Researchers.

The Connell-Jones Endowed Chair Diversity Nursing Research Scholars Program was created to promote engagement in nursing research and scholarship among nurses of color. Preliminary evaluation suggests that the program was widely beneficial, resulting in enrollment in doctoral education for some. Establishing opportunities that promote exposure and participation in nursing research and scholarship among nurses of color helps cultivate cohorts of diverse nurses armed to address health disparities through the advancement of nursing knowledge.

Exploring the Roles, Functions, and Work Experiences of Nurse Scientists in the Veterans Health Administration.

OBJECTIVE: The aim of this project was to describe nurse scientists' roles, functions, and work experiences in the Veterans Health Administration (VHA). BACKGROUND: Nurse scientists play a critical role in shaping the culture of clinical inquiry and closing the gap between knowledge and practice. METHODS: A cross-sectional survey was used to collect information on sociodemographics, workload, research, clinical practice, education, and time/effort. Data were examined using descriptive statistics and χ2 analyses. RESULTS: One hundred forty-four nurse scientists completed the survey. These nurse scientists serve dynamic and critical roles in conducting research, implementing evidence-based practice, and reforming policy. Research effort was limited due to workload and infrastructure constraints. Better research infrastructure was associated with higher research productivity and funding. CONCLUSIONS: This survey highlights the needs and challenges nurse scientists experience in conducting research and advancing VHA's mission. Given the national shortage of PhD-prepared nurses, long-term strategies are needed to attract, hire, and retain nurse scientists in healthcare systems.

Nursing researchers' concern about research activities during the COVID-19 pandemic: A secondary analysis of longitudinal survey data in Japan.

The coronavirus disease (COVID-19) pandemic has negatively affected research activities across various fields. This study aimed to determine nursing researchers' concerns about research activities during the COVID-19 pandemic in Japan and subsequent changes brought on by it. For this study, we conducted descriptive statistics and text mining analyses using data from two surveys conducted by the Japan Academy of Nursing Science (JANS) in the early days of the pandemic (first survey: mid-2020) and after 2 years (second survey: early 2022). Concerns about research activities were observed in 89% and 80% of the nursing researchers in the first and second surveys, respectively. Furthermore, concerns about "Difficulty in collecting research data" and "Content and quality of your research" were stronger in the second survey. Text mining analyses revealed that in the first survey, they were concerned about environmental changes and restrictions when proceeding with research during the COVID-19 pandemic, which was unfamiliar at the time. In the second survey, after overcoming environmental changes in the early stages of the pandemic, nursing researchers' concerns shifted to anxiety about the future, such as concerns about degree acquisition, employment and career advancement, and research results. The current study highlights various concerns among nursing researchers regarding research activities that have evolved over time during the pandemic. Academic societies must flexibly construct support measures for nursing researchers when a new infectious disease occurs. Such measures should be sensitive to the prevailing social circumstances and the evolving needs of researchers.

Cognition of nursing translational medical research among nursing practitioners in China.

BACKGROUND: Nursing translational research (TR) begins with clinical discovery and medical research and leads to clinical application in patients. TR is key to improving nursing quality and developing the nursing profession. However, its development in China remains limited, and the reasons for this are unclear. We aim to enhance the recognition of nursing TR among nursing practitioners in China by exploring their cognition about nursing TR and associated influences. METHODS: We distributed an internet-based questionnaire to 683 nursing practitioners between February 13 and March 15, 2023. We analyzed the characteristics and cognition of nursing TR using descriptive statistics, the chi-squared test, Fisher's exact test, the Wilcoxon rank-sum test, Kruskal-Wallis H test, and stepwise logistic regression analysis. The majority (79.65%) of nursing practitioners who responded to the questionnaire were willing to participate in nursing TR. FINDINGS: Nursing practitioners with a higher educational level, stronger recognition of the importance of nursing TR, and stronger recognition of transdisciplinary nursing TR were more willing to participate in nursing TR. DISCUSSION: The results of this study can accelerate nursing practitioners' willingness to participate in nursing TR. APPLICATION TO PRACTICE: We identified strategies to promote TR: provide further education, optimize courses in higher education, disseminate information, provide guidance on the importance of nursing TR, and establish a nursing TR platform with appropriate potential collaborators.

Research on Family-Centered Care in pediatric patients: A Bibliometric Analysis.

OBJECTIVE: This study is conducted as a bibliometric analysis to determine the trends in studies related to family-centered care in children. MATERIALS AND METHODS: The Web of Science database was used to collect study data. A search was conducted on Web of Science using the keywords "family-centered care", "family centered care", "family-centred care", "family centred care", "family-integrated care", "family integrated care", "patient and family centered care", "patient- and family-centered care" and "child" or "pediatric" or "pediatrics" or "child" or "newborn" or "neonatal" or "adolescent" together. The VOSviewer program was used for data analysis and visualization. The analysis included the number of publications by year, distribution by journals, most cited studies, countries with the highest publication output, most frequently used keywords, and co-authorship dimensions, presented with visual maps. RESULTS: A total of 2525 studies conducted from 1980 onwards were analyzed. The analysis revealed that the initial publications related to the subject emerged in 1980, and the United States was identified as the country with the highest number of publications, based on the Web of Science database. The Journal of Pediatric Nursing: Nursing Care of Children and Families (JPN) was determined as the journal with the highest number of publications, while the journal receiving the most citations was PEDIATRICS. CONCLUSION: The study found an increasing importance given to the Family-Centered Care Approach since the 1980s, with a majority of studies being descriptive in nature. It was determined that the studies were concentrated in the USA indicating a lack of global interest in the Family-Centered. PRACTICAL IMPLICATIONS: Nursing researchers can build upon this study in the field of family-centered care by conducting more specific and in-depth investigations. This contributes to adding new information to the nursing literature and filling gaps in this area.

Creation and implementation of a REDCap database demonstrates engagement and impact for a hospital-based center for nursing research and evidence-based practice.

Demonstrating impact is essential for hospital-based centers for pediatric nursing research and evidence-based practice. To meet this aim, the Center for Pediatric Nursing Research & Evidence-Based Practice at Children's Hospital of Philadelphia created a Research Electronic Data Capture (REDCap) database as a project engagement tracker to (1) capture all requests for consultation, and (2) summarize the Center's multi-professional consultants' engagement in diverse projects across our large pediatric health system. We implemented our REDCap project engagement tracker six years ago and continue to utilize it as a living database. Customized reports allow us to effectively manage our daily operations and communicate our reach and value to stakeholders internal and external to our organization. With REDCap's flexibility and ease of use, this project engagement tracker can be easily shared with like organizations. And with strong partnerships, we hope to see the development of common metrics to communicate the impact of centers of nursing inquiry on a national scale.

Hotspots and Global Trends of Nursing Research on Mobile Applications in Nursing From 2012 to 2023: A Bibliometric Analysis.

The rapid integration of mobile applications in healthcare has prompted an evolutionary change in nursing domain. This study aimed to systematically analyze the basic publication characteristics, research priorities, emerging trends, and thematic evolutions concerning mobile applications in nursing, providing an overview of the field's developmental trajectory and future directions. This was a descriptive bibliometric study. Data were collected on July 5, 2023, from the Web of Science database and analyzed by using the Bibliometrix package in R software. The search strategy yielded 417 documents authored by 1969 researchers, cited 12 595 references, and featured 1213 author keywords, spanning from 2012 to 2023. Research on mobile applications in nursing exhibited several key trends: (1) substantial collaboration among authors; (2) significant growth in the number of publications; (3) self-management was the most prominent hot topic; and (4) an evolution of research themes from general topics to a more specific focus on people-centered and problem-centered research. The corpus of literature pertaining to research on mobile applications within the nursing domain is anticipated to expand continually. Future research and practice in the nursing field are expected to benefit significantly from multidisciplinary collaboration and advancements in emerging technologies, including artificial intelligence.