Journal of Nursing Scholarship最新文献

{"title":"In the Shadow of Digital Burnout: A Qualitative Study on Academic Nurses' Perspectives on Digital Fatigue and Mental Health","authors":"Sema Toker, Sevda Uzun, Elif Güzide Emirza, Emel Güven","doi":"10.1111/jnu.70070","DOIUrl":"10.1111/jnu.70070","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>The rapid integration of digital technologies into academic and professional life has significantly increased screen time and workload, leading to growing concerns about digital fatigue and its impact on mental health. This study employs a qualitative research approach to investigate the perspectives of academic nurses on the effects of digital fatigue on their mental health.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This qualitative study utilized a pre-developed interview schedule to conduct in-depth interviews with 19 academic nurses residing in the northern region of Türkiye. All interviews were conducted online via Google Meet in accordance with participants’ availability and preferences. Participants were identified through snowball sampling based on predetermined inclusion criteria. Interviews continued until data saturation was achieved. The interviews were conducted without audio recording, and the data were collected through detailed field notes. The study data were evaluated using thematic analysis. The study was conducted and reported in accordance with the COREQ checklist.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Data analysis revealed four themes (Multidimensional impact of digital exposure, Social consequences of digital fatigue, Coping and support strategies, Institutional and policy-level challenges) and 11 subthemes (Physical effects, Mental effects, Cognitive effects, Social isolation, Disconnection from reality, Personal physical measures, Psychological measures, Social support, Environmental regulations, Work-life balance challenges, Need for education and awareness).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The study revealed the adverse effects of technology use by nurse academics in the digital age. It was determined that the social lives of nurse academics were negatively impacted by digital exposure, resulting in digital fatigue. It was also found that some nurse academics had difficulty coping with this fatigue. It is recommended to conduct research examining the relationship between the effects of digital fatigue on personality, digital literacy, mental health, and life satisfaction, addressing the impact of digital platforms that cause fatigue, and evaluating users' awareness levels of digital network fatigue. In this context, addressing digital fatigue requires the integration of psychiatric nursing approaches focused on mental health promotion and coping enhancement, together with public health nursing strategies emphasizing preventive interventions, digital hygiene policies, and institutional regulation to ensure sustainable and healthy academ","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"58 2","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147464277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"“I'm a 45-Year-Old Woman in the Body of an 80-Year-Old”: The Multiple Losses of Living and Aging in the Shadow of Prostitution—Authors' Response","authors":"Nora Gnaim-Mwassi, Tova Band Winterstein, Hila Avieli","doi":"10.1111/jnu.70078","DOIUrl":"10.1111/jnu.70078","url":null,"abstract":"","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"58 2","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147437252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations of Individual and Team-Level Resources With Turnover Intention in Nurses: A Multilevel Analysis","authors":"Lan Gao, Zhiwei Wang, Siya Meng, Fang Xue, Bingyan Zhang, Zongke Long, Peiyun Zhou, Xiaorong Luan","doi":"10.1111/jnu.70075","DOIUrl":"10.1111/jnu.70075","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Turnover intention among nurses poses a significant threat to both workforce stability and the overall quality of healthcare delivery. However, few studies have comprehensively examined the associations between turnover intention and nurses' individual and team-level resources within a multilevel framework. Our study aims to provide an in-depth exploration of the relationship between turnover intention and nurses' individual and team-level resources.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Design</h3>\u0000 \u0000 <p>The multicenter cross-sectional study adopted a stratified convenience sampling approach to enroll 773 clinical nurses from 62 teams across eight hospitals in Shandong Province, China.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We used the 10-item Connor-Davidson Resilience Scale for psychological resilience, the Perceived Social Support Scale for perceived social support, the 51-item Analyzing and Developing Adaptability and Performance in Teams to Enhance Resilience Scale for team resilience, and a single-item turnover intention measure. Multilevel logistic regression modeling was conducted to examine the simultaneous impacts of individual-level (psychological resilience and perceived social support) and team-level (team resilience) factors on turnover intention, while controlling for key demographic and organizational covariates.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The multilevel analysis revealed several key findings: (1) The prevalence of turnover intention reached 35.6%, indicating a substantial workforce stability challenge; (2) Multilevel modeling demonstrated significant between-team variance (ICC = 0.19), confirming the importance of examining nested data structures; (3) At the individual level, both psychological resilience (OR = 0.78, CI: 0.62–0.99) and perceived social support (OR = 0.75, CI: 0.60–0.94) showed significant negative associations with turnover intention; (4) At the team level, higher team resilience predicted lower turnover intention (OR = 0.73, CI: 0.56–0.94). These results were obtained after controlling for key demographic and organizational covariates, highlighting the robust protective effects of multilevel resources against nurses' turnover propensity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The prevalence of turnover intention was relatively high in this study. Nurses with higher psychological resilience, perceived social support, and team resilience exhibited lower turnover intention. Healthcare administrators need to increase investments in nurses' multilevel res","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"58 2","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147437271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unequal Leadership: Gender Disparities in Nursing and Healthcare Leadership in a Public Health System","authors":"Elisabet Badiella-Jarque,&nbsp;Carme Planas-Campmany,&nbsp;Edurne Zabaleta-del-Olmo,&nbsp;Sonia Sevilla-Guerra","doi":"10.1111/jnu.70079","DOIUrl":"10.1111/jnu.70079","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Women constitute the majority of the global healthcare workforce—especially in nursing—yet remain under-represented in formal leadership roles. Understanding how gender disparities intersect with profession, age, and governance models is critical to advancing equity and strengthening nursing leadership within health systems.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Design</h3>\u0000 \u0000 <p>Cross-sectional ecological study across publicly funded healthcare entities in Catalonia, Spain.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Data from 124 entities were collected as of 31 December 2023 and analyzed by gender, profession (physician, nurse, or other), age group (≤ 55, &gt; 55), and governance model (direct vs. indirect management) across five hierarchical leadership levels. Descriptive and inferential analyses were conducted to examine gender disparities in leadership distribution.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>A total of 8015 leadership positions were identified, of which 62.2% were held by women, despite women representing 75% of the workforce. A clear gender gradient emerged across leadership levels, with women's representation decreasing systematically at each step upward in the hierarchy. Women's representation declined significantly with increasing seniority, whereas men's representation increased at higher organizational levels. Among professions, male physicians were markedly represented at senior levels, while nurses—both women and men—were concentrated in lower and mid-level positions. Gender disparities were also shaped by age and governance model: younger women were clustered in frontline roles, and female leaders in indirectly managed entities were more evenly distributed across leadership levels than those in directly managed organizations.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Persistent gender disparities—particularly affecting nurses and younger professionals—highlight the need for inclusive leadership development, transparent promotion pathways, and robust gender-disaggregated data for workforce planning. Strengthening nursing leadership is not only a matter of equity but a strategic priority for building inclusive and responsive health systems.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"58 2","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147437306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and Evaluation of a Generative AI Chatbot for Database Searching in Systematic Review","authors":"Wai San Wilson Tam,&nbsp;Neo Tung,&nbsp;Shi Xuan Lee,&nbsp;Gregor Štiglic,&nbsp;Tom Huynh,&nbsp;Arthur Tang","doi":"10.1111/jnu.70076","DOIUrl":"10.1111/jnu.70076","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Systematic reviews (SRs) require comprehensive, reproducible searches, yet developing search strategies is resource-intensive and demands specialized expertise. Generative AI offers potential to streamline this process, but empirical evaluations for GAI-assisted SR searching remain scarce. The objectives of this study are to: demonstrate a step-by-step process for developing a custom ChatGPT-based chatbot to support SR search strategy development, and evaluate its performance.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Design</h3>\u0000 \u0000 <p>A cross-sectional evaluation study.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We used ChatGPT-4.0 to create a chatbot designed to mimic a medical librarian, generating PICO-informed searches. Its knowledge base was augmented with two methodological references. After piloting testing, we refined its instructions. For evaluation, we randomly sampled 50 Cochrane SRs published in 2024. Standardized P–I–O prompts produced database-ready queries for PUBMED and EMBASE. The primary outcome was per-review success rate, summarized by median and inter-quartile range. A sensitivity analysis was conducted.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Pilot testing achieved a retrieval rate of 41/49 (83.7%). In the main sample (1169 studies; median 13.5 studies per SR), the chatbot identified a median of 67.4% of included studies (IQR: 43.1%–88.4%). When limited to indexed studies (<i>n</i> = 1114), retrieval rose to 72.0% (IQR: 46.0%–92.5%). Lower performance was observed when outcomes were absent from the abstracts or interventions had many lexical variants.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>A GAI-based chatbot can rapidly generate SR searches (~67%–72% identification), serving as a useful starting point but not a replacement for expert-led approaches. Integration of librarian expertise, structured prompts, and controlled vocabularies may improve performance. Further benchmarking and transparent reporting are needed to guide adoption.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"58 2","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12976166/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147437300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diabetes-Related Stigma, Hemoglobin A1c, and Psychological and Behavioral Outcomes Among Adults With Type 2 Diabetes in Ghana: A Structural Equation Modeling Approach","authors":"Samuel Akyirem,&nbsp;Gail Melkus,&nbsp;Soohyun Nam,&nbsp;Katie Wang,&nbsp;Frank Micah,&nbsp;Emmanuel Ekpor,&nbsp;LaRon E. Nelson","doi":"10.1111/jnu.70073","DOIUrl":"10.1111/jnu.70073","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Introduction&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Whereas diabetes-related stigma is increasingly recognized as a barrier to diabetes management, little is known about this social phenomenon in collectivist African settings. The purpose of this study was to examine diabetes-related stigma among adults with type 2 diabetes (T2D) in Ghana, highlighting behavioral and psychological mechanisms underpinning the impact of stigma on hemoglobin A1C.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Design&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Cross-sectional analytical design.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Methods&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Adults with T2D (&lt;i&gt;n&lt;/i&gt; = 190), seeking care at a tertiary hospital in Ghana, were recruited. A battery of questionnaires assessing psychological (diabetes-related stigma, depression, anxiety, diabetes distress) and behavioral constructs (diabetes concealment and diabetes self-management) were administered. Venous blood samples were obtained for A1C assessment. A latent variable, “adverse psychological outcomes” comprising anxiety, depression, and diabetes distress, was derived and validated using confirmatory factor analysis. Structural equation modeling was used to test multiple psychological and behavioral pathways through which stigma was associated with A1C.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Results&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Participants had an average age of 59.44 (SD = 10.7) years, were mostly female (70.5%, &lt;i&gt;n&lt;/i&gt; = 134), and had T2D diagnosis for a median of 14.5 years. We found significant indirect effects of T2D stigma on HbA1c through adverse psychological outcomes alone (&lt;i&gt;β&lt;/i&gt; = 0.16; 95% CI: 0.01, 0.32, &lt;i&gt;p&lt;/i&gt; = 0.038), as well as the combination of adverse psychological outcomes and self-management behaviors (&lt;i&gt;β&lt;/i&gt; = 0.16; 95% CI: 0.001 to 0.32, &lt;i&gt;p&lt;/i&gt; = 0.048). We also found that the association between T2D stigma and diabetes self-management was fully mediated by adverse psychological outcomes, and participants who conceal their diabetes tend to report greater adverse psychological outcomes.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Conclusion&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;We note that adverse psychological outcomes play a central role in how T2D stigma is associated with HbA1c. Our findings provide preliminary insight into potential aspects of diabetes that may be targeted in future stigma-reduction interventions.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Clinical Relevance&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Our results do provide some indication that addressing mental health issues in individuals with T2D may be an effective intervention strategy in curtailing the adverse clinica","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"58 2","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147379660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Transformational Power of Person-Centered Fundamental Care Delivered by Nurses","authors":"Alison Kitson","doi":"10.1111/jnu.70062","DOIUrl":"10.1111/jnu.70062","url":null,"abstract":"","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"58 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146221894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fundamental Care: The Foundation for the Profession of Nursing","authors":"Susan Gennaro","doi":"10.1111/jnu.70068","DOIUrl":"10.1111/jnu.70068","url":null,"abstract":"","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"58 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146182898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Mindfulness Meditation on Perceived Stress, Somatic Symptoms and Inflammatory Biomarkers Among Clinical Nurses","authors":"Hossam Alhawatmeh,&nbsp;Luay Abusaif,&nbsp;Maryam Alharrasi,&nbsp;Sawsan Abuhammad","doi":"10.1111/jnu.70067","DOIUrl":"10.1111/jnu.70067","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Clinical nurses face notable chronic stress due to work-related stressors, exacerbated by the COVID-19 pandemic, leading to somatic symptoms and low-grade inflammation. Mindfulness meditation has shown promise in reducing stress and improving health outcomes, but its effects on somatic symptoms and inflammatory biomarkers in nurses remain underexplored.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To assess the impact of mindfulness meditation on somatic symptoms and inflammatory biomarkers such as leptin, interleukin-6, and tumor necrosis factor-α among nurses. To explore the secondary effects on perceived stress and trait mindfulness because of the complex interlinked association with the primary outcomes of interest.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methodology</h3>\u0000 \u0000 <p>A randomized controlled trial was conducted with 102 nurses randomly assigned to a meditation group (8-week mindfulness meditation program) or a non-meditation group. Data were collected using self-report questionnaires (Mindfulness Attention Awareness Scale, Perceived Stress Scale, Patient Health Questionnaire-15) and blood samples for biomarker analysis at baseline and post-intervention.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>The meditation group demonstrated notable reductions in perceived stress (<i>p</i> &lt; 0.001), somatic symptoms (<i>p</i> &lt; 0.001), IL-6 (<i>p</i> &lt; 0.001), and leptin levels (<i>p</i> &lt; 0.001) compared to the non-meditation group. Trait mindfulness increased markedly in the meditation group (<i>p</i> = 0.003), while TNF-α levels did not show notable changes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Concluding Remark</h3>\u0000 \u0000 <p>Mindfulness meditation efficiently reduces perceived stress, somatic symptoms, and inflammatory biomarkers in nurses, highlighting its potential as a holistic intervention to improve both psychological and physical well-being in high-stress healthcare environments.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Trial Registration</h3>\u0000 \u0000 <p>ClinicalTrail.gove, NCT06635278</p>\u0000 </section>\u0000 </div>","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"58 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146044493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Importance of Artificial Intelligence Literacy in Nursing and Midwifery to Achieve the Sustainable Development Goals: Perspectives From the 80th Session of the United Nations General Assembly","authors":"Siobhan O'Connor,&nbsp;Abeer Alharthi,&nbsp;Jitana Benton-Lee,&nbsp;Aimee Giselle Horcasitas-Tovar,&nbsp;Charlotte McArdle,&nbsp;Jerry John Ouner,&nbsp;Amy Staley,&nbsp;Jasper Erwin Tolarba,&nbsp;Regina Yuen","doi":"10.1111/jnu.70064","DOIUrl":"10.1111/jnu.70064","url":null,"abstract":"&lt;p&gt;This year marks the 80th anniversary of the United Nations (UN) which was established in 1945 to further international cooperation by promoting peace, championing human rights, and supporting social progress for all (United Nations &lt;span&gt;2025a&lt;/span&gt;). In 2015, all UN member states adopted the 2030 Agenda for Sustainable Development which includes seventeen Sustainable Development Goals (SDGs) outlining key local, measurable, and sustainable actions for individuals and institutions to take to achieve global progress by 2030 (https://sdgs.un.org/goals). Two of the SDGs focus on good health and wellbeing (SDG3) and quality education (SDG4) which have specific targets for UN member states to work toward and are highly relevant to the nursing and midwifery professions (Fields et al. &lt;span&gt;2021&lt;/span&gt;; Hawkins et al. &lt;span&gt;2024&lt;/span&gt;). As liaisons and youth representatives to the UN for Sigma Nursing, we had the privilege of attending key events during this year's UN General Assembly, where we heard firsthand about the progress made on the SDGs and advocated for more investment in nursing and midwifery to accelerate their achievement.&lt;/p&gt;&lt;p&gt;Sigma Theta Tau International Honor Society of Nursing is a global nursing organization with more than 100,000 active members across 100 countries, representing nursing and midwifery leaders from education, research, clinical practice and policy across its 600+ chapters worldwide (Sigma Theta Tau International &lt;span&gt;2025a&lt;/span&gt;). Sigma was granted a special consultative status with the UN Economic and Social Council (ECOSOC) in 2012 in recognition of its expertise in nursing and global health, enabling it to access nearly all intergovernmental processes at the UN, including participating in the General Assembly each year (Sensor et al. &lt;span&gt;2021&lt;/span&gt;). As part of this affiliation and acting in our liaison and youth representative roles, we are able to provide a strong nursing presence at the UN by delivering position statements, acting as subject matter experts, and hosting side events and meetings alongside various UN proceedings throughout the year. We also undertake a range of outreach activities to help nurses everywhere understand and contribute to the SDGs. Given the discussions we heard at this year's UN General Assembly on health and education, and the fact that the UN established two new mechanisms this year to promote international cooperation on the governance of artificial intelligence (AI) (United Nations &lt;span&gt;2025b&lt;/span&gt;), we felt it timely to highlight the importance of AI literacy in nursing and midwifery to achieve the SDGs.&lt;/p&gt;&lt;p&gt;AI is an evolving technological trend that comprises advanced computational techniques such as machine learning and natural language processing which are used to analyze and understand digital data. These AI techniques and their associated AI models and tools are enabling better decision making and more efficient delivery of services (Dwivedi et al. &lt;span&gt;2023&lt;/","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"58 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12808556/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145991735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}