{"title":"AI Dependency and Brain Rot Among Nursing Students: A Mixed-Methods Study.","authors":"Rukiye Kevser Sağlam, Bilge Kalanlar","doi":"10.1097/AJN.0000000000000364","DOIUrl":"https://doi.org/10.1097/AJN.0000000000000364","url":null,"abstract":"<p><strong>Background: </strong>Artificial intelligence (AI) can be beneficial in tailoring learning experiences to each student's learning style, needs, and preferences. But the integration of AI into education has also raised a host of concerns, including AI dependency and brain rot. Thus far, there has been limited research on the relationship between the use of AI and brain rot.</p><p><strong>Purpose: </strong>This study aimed to explore the relationship between AI dependency and brain rot, specifically among nursing students.</p><p><strong>Methods: </strong>This mixed-methods study involved undergraduate nursing students at a university in Türkiye. Quantitative data were collected via an online survey that included a sociodemographic questionnaire, the eight-item Brain Rot Scale (BRS-8), and the Dependence on Artificial Intelligence (DAI) Scale. Qualitative data were collected via semistructured interviews. Quantitative data analysis included the use of descriptive statistics, independent samples t tests, one-way analysis of variance, Pearson correlational analysis, and simple linear regression analysis. Qualitative data were analyzed via thematic analysis.</p><p><strong>Results: </strong>A total of 222 nursing students participated in the quantitative phase and 11 also participated in the qualitative interviews. Of the 222 nursing students in the quantitative phase, 90.1% were female; their mean age was 20.63 years. Quantitative analysis found a moderate, positive, and statistically significant correlation between DAI Scale and BRS-8 scores (r = 0.39). Qualitative analysis indicated that students often relied heavily on AI tools in preparing for or taking examinations, with some reporting that the overuse of AI led to reduced focus and dulled thinking.</p><p><strong>Conclusions: </strong>This study found a moderate, positive, and statistically significant relationship between AI dependency and brain rot among nursing students. The findings indicate that the excessive use of AI tools may contribute to cognitive fatigue and mental exhaustion, and can negatively impact foundational cognitive skills such as critical thinking and decision-making. It is essential that nursing programs ensure the AI literacy of their students and develop a balance of traditional and AI-related pedagogical strategies that best support students' brain functions and cognitive abilities.</p>","PeriodicalId":7622,"journal":{"name":"American Journal of Nursing","volume":"126 9","pages":"20-26"},"PeriodicalIF":2.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148787064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Factors Influencing Postoperative Urinary Incontinence in Prostate Cancer Patients: A Retrospective Cohort Study.","authors":"Ling Liu, Lifen Wu, Sini Gu","doi":"10.1097/AJN.0000000000000366","DOIUrl":"https://doi.org/10.1097/AJN.0000000000000366","url":null,"abstract":"<p><strong>Background: </strong>Urinary incontinence following laparoscopic radical prostatectomy is a prevalent and debilitating condition that significantly diminishes the quality of life of patients with prostate cancer.</p><p><strong>Purpose: </strong>This study aimed to elucidate the prevalence and determinants of post-prostatectomy urinary incontinence in patients with prostate cancer and to construct a risk prediction model for postoperative urinary incontinence.</p><p><strong>Methods: </strong>We conducted a retrospective analysis of patients diagnosed with prostate cancer who underwent laparoscopic radical prostatectomy at our institution from January 2022 to August 2024. The study included comprehensive data collection and comparative analysis between patients who developed postoperative urinary incontinence and those who did not.</p><p><strong>Results: </strong>A total of 310 patients were included in the study. The incidence of urinary incontinence following laparoscopic radical prostatectomy was 14.84%. Correlation analysis revealed that age (r = 0.631), body mass index (BMI) (r = 0.518), diabetes (r = 0.607), and duration of surgery (r = 0.662) were significantly associated with postoperative urinary incontinence. Logistic regression identified 70 years of age or older (odds ratio [OR], 1.996; 95% CI, 1.258-2.662), BMI of 24 or higher (OR, 2.057; 95% CI, 1.834-2.605), presence of diabetes (OR, 2.815; 95% CI, 2.031-3.169), and surgery duration of 60 minutes or more (OR, 2.931; 95% CI, 2.247-3.215) as independent predictors of postoperative urinary incontinence. The predictive model demonstrated an area under the receiver operating characteristic curve of 0.794 (95% CI, 0.768-0.845), indicating good discriminatory ability.</p><p><strong>Conclusion: </strong>Urinary incontinence following laparoscopic prostatectomy for prostate cancer is very common, particularly among patients with risk factors identified by this model. Close monitoring and timely intervention are crucial to mitigate the risk of developing postsurgical urinary incontinence.</p>","PeriodicalId":7622,"journal":{"name":"American Journal of Nursing","volume":"126 9","pages":"34-39"},"PeriodicalIF":2.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148787079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mary C Zonsius, Kerry A Milner, Susan Farus-Brown, Ellen Fineout-Overholt
{"title":"Dissemination: Sharing the Story.","authors":"Mary C Zonsius, Kerry A Milner, Susan Farus-Brown, Ellen Fineout-Overholt","doi":"10.1097/AJN.0000000000000361","DOIUrl":"https://doi.org/10.1097/AJN.0000000000000361","url":null,"abstract":"<p><strong>Abstract: </strong>This is the 11th article in a new series designed to provide readers with insight into educating nurses about evidence-based decision-making (EBDM). It builds on AJN's award-winning previous series-Evidence-Based Practice, Step by Step and EBP 2.0: Implementing and Sustaining Change (to access both series, go to https://links.lww.com/AJN/A133). This follow-up series on EBDM will address how to teach and facilitate learning about the evidence-based practice (EBP) and quality improvement (QI) processes and how they impact health care quality. This series is relevant for all nurses interested in EBP and QI, especially DNP faculty and students. The brief case scenario included in each article describes one DNP student's journey. To access previous articles in this EBDM series, go to https://links.lww.com/AJN/A256.</p>","PeriodicalId":7622,"journal":{"name":"American Journal of Nursing","volume":"126 9","pages":"50-58"},"PeriodicalIF":2.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148787131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ACP issues updated guidance statement on breast cancer screening.","authors":"Karen Rosenberg","doi":"10.1097/AJN.0000000000000370","DOIUrl":"https://doi.org/10.1097/AJN.0000000000000370","url":null,"abstract":"<p><p>ACCORDING TO THIS STUDY.</p>","PeriodicalId":7622,"journal":{"name":"American Journal of Nursing","volume":"126 9","pages":"61"},"PeriodicalIF":2.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148786956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Deep-learning model identifies those at high risk for young-onset diabetes.","authors":"Karen Rosenberg","doi":"10.1097/AJN.0000000000000370b","DOIUrl":"https://doi.org/10.1097/AJN.0000000000000370b","url":null,"abstract":"<p><p>ACCORDING TO THIS STUDY.</p>","PeriodicalId":7622,"journal":{"name":"American Journal of Nursing","volume":"126 9","pages":"61-62"},"PeriodicalIF":2.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148787107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Older Medicaid recipients may struggle to obtain home care.","authors":"Karen Roush","doi":"10.1097/AJN.0000000000000368f","DOIUrl":"https://doi.org/10.1097/AJN.0000000000000368f","url":null,"abstract":"","PeriodicalId":7622,"journal":{"name":"American Journal of Nursing","volume":"126 9","pages":"15-16"},"PeriodicalIF":2.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148787126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Study finds positive effects of private equity acquisition on primary care services.","authors":"Karen Roush","doi":"10.1097/AJN.0000000000000368g","DOIUrl":"https://doi.org/10.1097/AJN.0000000000000368g","url":null,"abstract":"","PeriodicalId":7622,"journal":{"name":"American Journal of Nursing","volume":"126 9","pages":"16"},"PeriodicalIF":2.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148787137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ruth Ludwick, Margarete L Zalon, Kristin Baughman, Rebecca M Patton
{"title":"Nurse Voting in Ohio Primary Elections: A Cohort Study.","authors":"Ruth Ludwick, Margarete L Zalon, Kristin Baughman, Rebecca M Patton","doi":"10.1097/AJN.0000000000000380","DOIUrl":"https://doi.org/10.1097/AJN.0000000000000380","url":null,"abstract":"<p><strong>Background: </strong>With over 6 million RNs and LPNs in the United States, nurses have potential political power. As frontline caregivers, they witness the impact of policy on the health of people and communities. Voting is an essential civic duty, but voter turnout in primary elections is very low. Nurses' primary voting behavior has not yet been examined.</p><p><strong>Purpose: </strong>This cohort study aimed to examine the actual voting behavior of licensed nurses (LPNs, RNs, and advanced practice registered nurses [APRNs]) in Ohio primaries in 2020, 2022, and 2024, and how nurse characteristics (licensure type, age) were related to voting.</p><p><strong>Methods: </strong>Nurse data were acquired in October 2023 from two public datasets made available by the Ohio Board of Nursing: a list of all licensed nurses and a list of all APRNs in the state. Public Ohio voter registration and voting record data were obtained in July 2024 from the Ohio Secretary of State website. Chi-square tests and logistic regression were used to examine relationships between age, nurse licensure type, and voting behavior.</p><p><strong>Results: </strong>There is a wide gap between nurses' voter registration status and primary voting behavior. Of licensed nurses with Ohio addresses, 73.7% were registered to vote. Nurse voter turnout in the three primary elections ranged from 19.1% to 22.4%. A small fraction of nurses (7.3%) voted in all three primaries. Older nurses were significantly more likely to vote than younger nurses. There were significant differences in primary turnout among LPNs, RNs, and APRNs in each of the elections, with LPNs' turnout lower than that of RNs and APRNs.</p><p><strong>Conclusion: </strong>The low voter turnout highlighted in this study is a call to action for nurses to participate in policy by choosing their elected decision-makers. Nurses have the potential to be a powerful force in influencing health through voting.</p>","PeriodicalId":7622,"journal":{"name":"American Journal of Nursing","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148787020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sachi Sengupta, Jordan La, Skyllar Kuppinger, Alejandro Quezada, Stella Wang, Zaina Sharqawi, Andre A Fabian, Bianca Nguyen, Aram A Namavar, Anna Dermenchyan
{"title":"Improving Medication Reconciliation at Discharge: A Cross-Sectional Survey.","authors":"Sachi Sengupta, Jordan La, Skyllar Kuppinger, Alejandro Quezada, Stella Wang, Zaina Sharqawi, Andre A Fabian, Bianca Nguyen, Aram A Namavar, Anna Dermenchyan","doi":"10.1097/AJN.0000000000000374","DOIUrl":"https://doi.org/10.1097/AJN.0000000000000374","url":null,"abstract":"<p><strong>Background: </strong>Medication discrepancies remain a persistent patient safety concern despite decades of quality improvement efforts. Research indicates that about half of hospitalized adults experience at least one such discrepancy after discharge, often stemming from unclear clinician roles and poor communication among nurses, physicians, and pharmacists. Understanding nurses' perspectives is critical to designing interventions that will improve medication reconciliation and enhance patient safety at discharge.</p><p><strong>Purpose: </strong>This study aimed to explore RNs' perspectives of medication reconciliation during hospital discharge, focusing on barriers, communication patterns, and opportunities for system improvement.</p><p><strong>Methods: </strong>A cross-sectional survey was administered to nursing staff across medical telemetry, cardiac observation, short-stay, and general observation units at a large quaternary academic teaching hospital between March 21 and April 30, 2022. The survey assessed nurses' comfort with patient education, perceived role responsibilities, and collaboration with other disciplines. Quantitative responses were summarized descriptively, and open-ended responses were analyzed using inductive content analysis to identify recurring themes.</p><p><strong>Results: </strong>Of the 217 nurses invited to participate, 108 completed the survey. Most nurses reported high comfort levels in using teach-back methods (93.5%) and reviewing reconciled medication lists with patients (87%). Responsibility for medication-related discharge tasks was most often viewed as shared, including medication teaching and schedule review as well as communicating medication changes made during hospitalization. Collaboration with pharmacists received the most favorable evaluations, with a majority (60.1%) rating it good or excellent. In contrast, a majority rated as average or worse collaboration with physicians (54.6%), case managers (68.5%), and social workers (63.9%). Free-text responses to open-ended items added further insights.</p><p><strong>Conclusions: </strong>The study findings indicate that while nurses generally feel confident about their ability to provide patient education, their ability to deliver accurate medication information is hindered by incomplete or inconsistent documentation, role ambiguity, and lapses in interdisciplinary communication. Addressing these issues will require targeted educational interventions, improved interprofessional collaboration, and expanded pharmacy integration. Embedding technological tools such as automated notifications into discharge planning workflows could further improve medication reconciliation and ensure safe care transitions. To achieve these goals, nurses must have accurate medication information, role clarity, and integrated interdisciplinary support.</p>","PeriodicalId":7622,"journal":{"name":"American Journal of Nursing","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148786950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}