JMIR nursing最新文献

{"title":"Development of Telenursing Guidelines to Improve the Quality of Services in Diabetic Wound Care in a Hospital in Thailand: Case Study.","authors":"Chonlada Darayon, Paralee Opasanant, Siriporn Sangsrijan, Waraporn Pattaramungkhunkat, Panpimol Sukwong","doi":"10.2196/74228","DOIUrl":"10.2196/74228","url":null,"abstract":"<p><strong>Background: </strong>The majority of patients with diabetic wounds living in Mae Chan District, Chiang Rai Province face challenges such as a shortage of nurses, limited access to health care, and insufficient resources. Strategies such as specialist networks, patient monitoring, and online care platforms are crucial to improving diabetic wound management in the community.</p><p><strong>Objective: </strong>This study aims to develop telenursing guidelines for caring for patients with diabetic wounds and foot ulcers, and to investigate the effects of telenursing on wound healing among patients.</p><p><strong>Methods: </strong>Participatory action research was conducted in three cycles: (1) assessing the current situation and feasibility of telenursing; (2) evaluating telenursing guidelines for wound healing; and (3) examining the effects of telenursing on wound healing, amputation rates, and patient satisfaction.</p><p><strong>Results: </strong>The mean diabetic wound severity scores decreased after receiving telenursing care at weeks 2, 4, 6, and 8 (P<.001). No patients were found to have foot or leg amputations. The patients in the group who received telenursing care showed that their wounds healed in an average of 8.6 (SD 4.3) weeks. The satisfaction score for telenursing care was 4.7 out of 5 (SD 0.2).</p><p><strong>Conclusions: </strong>Telenursing guidelines were developed to enhance access to wound care, reduce amputation rates, and promote wound healing, resulting in a significant reduction in wound severity and the absence of amputations. The study further demonstrated that telenursing not only expedited healing times but also reduced health care costs and improved patient satisfaction.</p>","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"9 ","pages":"e74228"},"PeriodicalIF":5.0,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12885177/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146151481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nurses' Experiences of Interprofessional Collaboration in Digitally Supported Hospital Discharge Planning: Qualitative Study.","authors":"Mera Delima, Musheer A Aljaberi, Regidor Iii Dioso","doi":"10.2196/81961","DOIUrl":"10.2196/81961","url":null,"abstract":"<p><strong>Background: </strong>Effective interprofessional collaboration (IPC) in patient discharge planning is essential for ensuring continuity of care, improving patient outcomes, and strengthening coordination among health care professionals. Nurses often serve as primary coordinators due to their continuous engagement in patient care. However, the implementation of IPC continues to face barriers at the individual, team, and organizational levels. Many hospitals have adopted digital tools, such as integrated patient progress notes (IPPNs), to facilitate information sharing. Nevertheless, the use of these tools to support IPC remains suboptimal and has been insufficiently explored, particularly within the Indonesian digital health context.</p><p><strong>Objective: </strong>This study aimed to explore how IPPNs support IPC during patient discharge planning, particularly from the nursing perspective.</p><p><strong>Methods: </strong>A qualitative phenomenological study was conducted at a hospital in Bukittinggi, West Sumatra. Data were collected through in-depth interviews and a focus group discussion involving 9 purposively selected health care professionals. Thematic analysis was used to identify key patterns related to IPC practices and communication dynamics involving the use of IPPNs.</p><p><strong>Results: </strong>The findings revealed 3 main themes: (1) individual understanding and motivation in IPC, encompassing motivation, role expectations, personality style, and professional strengths; (2) team dynamics, including leadership, management, communication, and social support; and (3) organizational support for IPC, comprising collaborative culture, institutional goals, organizational structures, and the organizational environment. Participants perceived IPC as essential yet inefficiently utilized for coordinating patient care across disciplines, with limitations in standardization, accessibility, and clarity of digital documentation hindering effective collaboration.</p><p><strong>Conclusions: </strong>This study demonstrated that IPC practices were shaped by individual, team, and organizational factors, with digital communication holding a potentially transformative role in facilitating collaboration. These findings contribute to existing knowledge by highlighting context-specific challenges in Indonesian digital health settings, including digital literacy, system usability, and institutional support, which influence IPC and discharge planning outcomes. Integrating digital optimization within IPC frameworks may represent a valuable strategy for advancing digital health practices.</p>","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"9 ","pages":"e81961"},"PeriodicalIF":5.0,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12885454/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146151405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retraction: Comparative Effectiveness of Health Communication Strategies in Nursing: A Mixed Methods Study of Internet, mHealth, and Social Media Versus Traditional Methods.","authors":"","doi":"10.2196/89640","DOIUrl":"10.2196/89640","url":null,"abstract":"","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"9 ","pages":"e89640"},"PeriodicalIF":4.0,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12871936/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146120991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Perception of AI Symptom Models in Oncology Nursing: Mixed Methods Evaluation Study.","authors":"Bridget Nicholson, Elizabeth A Sloss, Aref Smiley, Joseph Finkelstein, Kathi Mooney","doi":"10.2196/82283","DOIUrl":"10.2196/82283","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Patients undergoing cancer treatment experience a significant symptom burden. The standard process of symptom management includes patient reporting and clinical response following symptom escalation. Emerging predictive symptom models use artificial intelligence (AI) components of machine learning and deep learning to identify the risk of symptom deterioration, facilitating earlier intervention to prevent downstream effects. However, integrating predictive symptom models into clinical practice will require oncology nurses to adopt innovative approaches.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This study aims to explore oncology nurses' perceptions of the use of predictive symptom models in cancer care and the factors influencing the adoption of this symptom care innovation.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;The evaluation was guided by the Rogers Diffusion of Innovation Theory, which describes the process of how individuals adopt new technologies. The investigators developed an interview guide that asked oncology nurses to rate their perceptions of AI symptom models on a Likert scale. Participants were also asked to provide qualitative comments to support their ratings for each question, in order to better understand the key factors that would influence AI predictive model adoption. Investigators analyzed demographic data and Likert ratings with descriptive statistics. Qualitative analysis of participant comments included content analysis and inductive coding to identify themes. Nurses' perception of factors that would influence the adoption of AI symptom models, based on the Rogers theory, included relative advantage, compatibility, complexity, trialability, and observability.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Responses of 15 oncology nurses with more than 1 year of experience in oncology were analyzed. There was high agreement among nurse participants that an AI model could improve symptom management for patients with cancer (n=10, 67%) and increase early intervention to prevent the escalation of symptoms (n=12, 86%). All participants (N=15) agreed that receiving symptom information would be helpful. Nearly three-quarters of participants (n=11, 73%) endorsed that the information would save time. Most (n=12, 80%) recommended that clinicians receive information about the predicted symptom deterioration of their patients. Among open-ended responses, key themes were consistent with factors identified in the Diffusion of Innovation theory including: (1) perceptions related to the AI model (compatibility or complexity), (2) nurses' perception of patients' benefit (observability), (3) improved clinical processes (relative advantage or observability), (4) apprehension over model accuracy and impact (compatibility or trialability or observability), and (5) implementation or adoption (trialability or complexity or observability).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;Oncology nurses agree that predictive symptom models could help impr","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"9 ","pages":"e82283"},"PeriodicalIF":5.0,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12871576/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146120865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Relational Playbook Nurse Leadership Development Program Using the Whistle Systems Employee Recognition Platform: Feasibility Mixed Methods Study.","authors":"Marguerite Daus, Brigid Connelly, Drew Carter, Heather M Gilmartin","doi":"10.2196/79188","DOIUrl":"10.2196/79188","url":null,"abstract":"<p><strong>Background: </strong>Leadership development programs in health care often fail due to their lack of adaptability to the schedules of busy clinicians. This study addressed the need for scalable, flexible programs tailored to nurse leaders.</p><p><strong>Objective: </strong>This study evaluated the acceptability, appropriateness, and feasibility of the Relational Playbook, an evidence-based leadership development program developed in the Veterans Health Administration delivered through the Whistle Systems employee recognition web application and mobile app.</p><p><strong>Methods: </strong>A 1-year, single-team pilot was deployed using descriptive survey data and qualitative interview analysis. The Relational Playbook's educational content and interventions were hosted on the Whistle platform, which integrates behavioral science and gamification strategies. Content was delivered weekly via app-based nudge notifications and email. Engagement metrics included activity completion rates. User experience data were collected through weekly reflection surveys (with Likert-scale responses and open-text options); monthly check-ins; and a postimplementation acceptability, appropriateness, and feasibility survey and interview. Descriptive statistics summarized engagement levels and trends, and qualitative data were analyzed using content analysis to identify recurring concepts. Quantitative and qualitative data were analyzed sequentially for comprehensive insights.</p><p><strong>Results: </strong>The section chief and 4 practicing cardiology nurse practitioners from a large academic medical center participated. The nurse practitioner section chief deemed the Whistle platform an acceptable, appropriate, and feasible technology for delivering the Relational Playbook content. They valued the weekly nudges, microlearning content, and flexibility of the web application and mobile app. The Relational Playbook content supported their personal growth and fostered positive shifts in attitudes toward work.</p><p><strong>Conclusions: </strong>Delivering leadership development content through the Whistle platform is an acceptable approach to support the growth and well-being of busy nurse leaders. The small sample and absence of a comparison group limit generalizability.</p>","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"9 ","pages":"e79188"},"PeriodicalIF":5.0,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12863652/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146108829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Community Health Nurses' Knowledge and Perceptions of AI in Canada: National Cross-Sectional Survey.","authors":"Mary Henderson Betkus, Davina Banner, Leanne Currie, Piper Jackson, Shannon Freeman","doi":"10.2196/78560","DOIUrl":"10.2196/78560","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Artificial intelligence (AI) continues to expand into nursing and health care. Many examples of AI applications driven by machine or deep learning are in use. Examples include wearable devices or alerts for risk prediction. AI tends to be promoted by nonnurses, creating a risk that AI is not designed to best serve registered nurses. Community health nurses (CHNs) are a small but essential group. CHNs' familiarity with AI and their perceptions about its effect on their practice are unknown.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;The research aims to understand CHNs' awareness, knowledge, and perceptions of AI in practice and gain insights to better involve them in AI.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;An online cross-sectional Canadian survey targeting CHNs was conducted from April to July 2023. Descriptive statistics summarized respondents' characteristics and perceptions of AI, followed by a chi-square test used to determine a relationship between respondents' level of AI knowledge and their AI perceptions, with odds ratio (OR) to determine the strength of association.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;A total of 228 CHNs participated with varying response rates per question. Most respondents were female (172/188, 91.5%), average age of 45.5 (SD 11.7) years, and an average of 13.5 (SD 10.1) years of community practice experience. Most respondents (205/228, 89.9%) felt they welcomed technology into their practice. They reported their understanding of AI technologies as \"good\" (95/220, 43.2%) and \"not good\" (125/220, 56.8%). Overall, 39.6% (80/202) of respondents felt uncomfortable with the development of AI. They agreed that AI should be part of education (143/203, 70.4%), professional development (152/202, 75.2%), and that they should be consulted (195/203, 96.1%). Many respondents had concerns related to professional accountability if they accepted a wrong AI recommendation (157/202, 77.7%) or if they dismissed a correct AI recommendation (149/202, 73.8%). Respondents with \"good\" AI knowledge were significantly associated with, and twice as likely to indicate nursing will be revolutionized (P=.007; OR 2.28, 95% CI 1.25-4.18), nursing will be more exciting (P=.001; OR 2.52, 95% CI 1.42-4.47), health care will be more exciting (P=.004; OR 2.3, 95% CI 1.30-4.06), and agreed that AI is part of nursing (P=.01; OR 2.1, 95% CI 1.19-3.68). Respondents with \"not good\" AI knowledge were significantly associated with, and more likely to feel uncomfortable with AI developments (χ21=4.2, P=.04; OR 1.84, 95% CI 1.03-3.3).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;CHNs reporting \"good\" AI knowledge had more favorable perceptions toward AI. Overall, CHNs had professional concerns about accepting or dismissing AI recommendations. Potential solutions include educational resources to ensure that CHNs have a sound basis for AI in their practice, which would promote their comfort with AI. Further research should explore how CHNs could be better inv","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"9 ","pages":"e78560"},"PeriodicalIF":5.0,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12829900/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146042188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Effects of Adequate Rest on Nurse Job Satisfaction, Burnout Prevention, and Physical Health in Medical and Emergency Units at a Hospital in Western Jamaica: Qualitative Study.","authors":"Channon Smith, Keitumetse-Kabelo Murray, Natasha Croome","doi":"10.2196/84106","DOIUrl":"10.2196/84106","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;The demanding work environment of nurses in medical and emergency units often results in high stress, job dissatisfaction, and burnout. Adequate rest is crucial for maintaining nurses' physical health, mental clarity, and emotional resilience, yet it is often overlooked in these high-pressure settings. This qualitative study explores the perceptions of nurses at a hospital in Western Jamaica regarding the quality and duration of rest they receive and its impact on their professional, mental, physical, and personal well-being. The hospital was selected due to the unique challenges health care workers face in Jamaica, including limited resources, high patient loads, and frequent staff shortages, which may exacerbate rest-related issues.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This study aimed to explore the perceptions of registered nurses working in the emergency and medical units of the hospital in Western Jamaica regarding their rest experience and its implications for burnout, job satisfaction, and overall health.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;The study used a constructivist epistemological lens and used purposive sampling to select 12 registered nurses. The principal researcher conducted in-depth interviews with each participant via Zoom, using a semistructured guide. Interviews lasted 25 to 45 minutes, were audio-recorded, and attended only by participants and the researcher. Thematic analysis was used to transcribe, code, and analyze the data, culminating in the development of a thematic map of findings.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The findings indicated that nurses face significant challenges in obtaining adequate rest due to staff shortages, heavy workloads, irregular shifts, and limited management support. A total of three primary themes emerged: (1) noncompliance with rest policies, (2) resource limitations, and (3) management issues, each influencing job satisfaction, burnout, and overall health. Within noncompliance, nurses highlighted suboptimal nurse-to-patient ratios, absenteeism, and inadequate break time. For example, ratios as high as \"30 to 2\" or \"60 to 3\" were cited, affecting nurses' ability to take breaks. Resource constraints included inadequate staffing, insufficient staff replacement, and the absence of suitable rest areas. Management concerns included weak policy enforcement, inadequate policy awareness, and limited support for rest breaks. These challenges collectively contributed to poor sleep quality, increased stress, and diminished job satisfaction.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;The study highlights the need for systemic improvements to address nurse rest and well-being, including increased staffing, structured policies on break enforcement, and enhanced management engagement. While the study is specific to the hospital in Western Jamaica, the findings may have broader implications for health care systems in similarly resource-constrained settings in the Caribbean and other low- ","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"9 ","pages":"e84106"},"PeriodicalIF":5.0,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12829585/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146042275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing a Best Practice Guideline for Clinical Practice in a Digital Health Environment: Systematic Reviews Based on the Grading of Recommendations, Assessment, Development, and Evaluation Approach.","authors":"Lauren Bailey, Lyndsay Howitt, Nafsin Nizum, Christine Buchanan, Maureen Charlebois, Jennifer Yoon","doi":"10.2196/74942","DOIUrl":"10.2196/74942","url":null,"abstract":"<p><strong>Background: </strong>Digital health refers to the field of knowledge and practice associated with the development and use of digital technologies to improve clinical practice and health outcomes. Knowledge of digital health technology is becoming essential for all nurses and health providers.</p><p><strong>Objective: </strong>This study aims to present the results of the systematic reviews that were used to inform the recommendations in a best practice guideline (BPG) following the GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) approach. Reviews focused on digital health education for nurses and health providers, peer champion models, and the use of predictive analytics in digital health environments.</p><p><strong>Methods: </strong>The BPG team, in collaboration with a panel of 17 experts, conducted 5 systematic reviews to address 5 recommendation questions. Systematic searches looked for relevant studies published in English from January 2017 to July 2022 from 10 databases. The GRADE approach was used to synthesize and evaluate the quality of evidence, ensuring the guideline aligned with international reporting standards.</p><p><strong>Results: </strong>A total of 18 articles across 4 systematic reviews met the inclusion criteria. From these reviews, 4 corresponding recommendations were drafted for nurses and health providers. The strength of the recommendations was determined through discussion and consensus by the expert panel using the GRADE approach. Among all, 1 systematic review resulted in no recommendation due to insufficient evidence.</p><p><strong>Conclusions: </strong>The BPG on digital health provides 4 evidence-based recommendations for nurses and health providers on how to incorporate digital health technologies into clinical practice. This BPG is intended to be used across all health care settings.</p>","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"9 ","pages":"e74942"},"PeriodicalIF":5.0,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12829893/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146042264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nurses' Expectations of a Knowledge Management System in Nursing Practice: Qualitative Study.","authors":"Magdalena Vogt, Sebastian Müller, Glorianna Wagner-Jagfeld, Renate Ranegger, Sabin Zürcher, Janine Vetsch","doi":"10.2196/78395","DOIUrl":"10.2196/78395","url":null,"abstract":"<p><strong>Background: </strong>Evidence-based practice is essential for delivering safe, high-quality nursing care; however, its implementation remains challenging due to barriers such as limited knowledge, a lack of supportive organizational culture, and insufficient access to relevant knowledge at the point of care. Knowledge management systems (KMSs) have the potential to bridge this gap by integrating evidence into the nursing process through technological support. Despite growing interest, the integration of KMS into daily nursing practice is still underexplored, especially from the perspective of frontline nurses.</p><p><strong>Objective: </strong>The aim of this study was to explore nurses' perspectives on the requirements for a KMS that supports evidence-based practice at the point of care, with a focus on usability, process integration into the electronic nursing care plan and patient chart, and implementation challenges and benefits.</p><p><strong>Methods: </strong>A qualitative study was conducted in a Swiss hospital using observations, focus groups, and individual interviews with 6 registered nurses, 9 advanced practice nurses, 2 nursing managers, and 1 head physician. Data were analyzed using thematic analysis.</p><p><strong>Results: </strong>The analysis revealed four main categories and ten subcategories: (1) content of the KMS, (2) personal and structural factors of knowledge management, (3) technical conditions of the KMS, and (4) implementation of a KMS. Participants emphasized the need for an intuitively structured, process-integrated system that links evidence-based information directly to nursing interventions in the electronic nursing care plan and patient chart. Organizational support, interprofessional collaboration, and clear responsibilities were identified as critical for successful implementation.</p><p><strong>Conclusions: </strong>There is a clear need for a KMS that is user-friendly, seamlessly integrated into clinical workflows, and supports quick, reliable access to evidence-based knowledge. A KMS could enhance nurses' access to reliable knowledge, promote evidence-based decision-making, and strengthen professional confidence at the point of care. By embedding evidence directly into the electronic nursing care plan and patient chart, such systems can streamline workflows, reduce time spent searching for information, and support more consistent application of best practices. These capabilities may improve information retrieval and contribute to a safer, more consistent nursing practice.</p>","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"9 ","pages":"e78395"},"PeriodicalIF":5.0,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12822857/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146020706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Insights Into Factors Affecting Nurses' Knowledge of and Attitudes Toward AI and Implications for Successful AI Integration in Critical Care: Cross-Sectional Study.","authors":"Habib Alrashedi, Saad M Alderaan, Nader Alnomasy, Hamdi Lamine, Khalil A Saleh, Sameer A Alkubati","doi":"10.2196/85649","DOIUrl":"10.2196/85649","url":null,"abstract":"<p><strong>Background: </strong>Assessing the current landscape of nurses' knowledge and attitudes is a critical first step in facilitating a smooth and effective transition toward artificial intelligence (AI)-enhanced critical care.</p><p><strong>Objective: </strong>This study aimed to assess the levels of and factors affecting the knowledge of and general attitudes toward AI in critical care among nurses.</p><p><strong>Methods: </strong>A cross-sectional correlational design was used with 203 critical care nurses in Hail, Saudi Arabia, using the Nurses' AI Knowledge Questionnaire and the 20-item General Attitudes Toward Artificial Intelligence Scale from May 2025 to July 2025. Data were analyzed using 2-tailed t tests, ANOVA, Pearson correlation, and multivariable linear regression. Statistical significance was set at P<.05.</p><p><strong>Results: </strong>Critical care nurses demonstrated moderate knowledge of (mean score 4.93, SD 1.78) and positive attitudes toward AI (mean score 64.39, SD 8.26). A moderate positive correlation was found between knowledge of and attitudes toward AI (r=0.45; P<.001). In multivariable analyses, older age was associated with lower knowledge (≥40 years: β=-1.29, 95% CI -2.12 to -0.45; P=.003) and less positive attitudes (β=-8.97, 95% CI -12.49 to -5.44; P<.001). Female nurses reported lower knowledge (β=-0.69, 95% CI -1.20 to -0.19; P=.007) and less positive attitudes (β=-2.65, 95% CI -4.78 to -0.52; P=.02) than male nurses. Greater experience (>5 years) was positively associated with knowledge (β=1.20, 95% CI 0.65-1.75; P<.001) and attitudes (β=8.08, 95% CI 5.76-10.41; P<.001).</p><p><strong>Conclusions: </strong>Critical care nurses in Hail demonstrated moderate knowledge of and positive attitudes toward AI, which varied based on their demographic and professional characteristics. These findings highlight the need to strengthen AI literacy and provide targeted support to groups with lower scores, which may enhance readiness for AI integration in critical care settings.</p>","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"9 ","pages":"e85649"},"PeriodicalIF":5.0,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12810745/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145992259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}