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Leadership Roles, Care Models, and Effectiveness of Advanced Practice Nurse–Led Multidisciplinary Teams: A Scoping Review 领导角色,护理模式,以及高级实践护士领导的多学科团队的有效性:范围审查
IF 3.7 3区 医学 Q1 NURSING Pub Date : 2025-09-05 DOI: 10.1111/inr.70079
Jin Yang, Jingying Huang, Mengbo Han, Haiou Qi, Miaomiao Xu

Aim

This review aimed to delineate the leadership roles, care models, and effectiveness of advanced practice nurse (APN)-led multidisciplinary teams in healthcare settings.

Background

Emerging international evidence suggests leadership constitutes a core characteristic of APN roles. Despite expanding involvement of advanced practice nurses in leading advanced and sustainable care within multidisciplinary teams, the current understanding of such care models is limited.

Methods

A scoping review was performed and reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews Checklist.

Results

Thirty-three studies were included. Five leadership roles of advanced practice nurses in multidisciplinary teams were identified: individual contributor, decision-maker, facilitator, trainer, and manager. The analysis revealed three care models within APN–led teams: case management, group intervention, and transitional care. These models demonstrated similar or better patient and organizational outcomes compared with physician-led models. Both caregivers and healthcare providers consistently recognized and valued advanced practice nurses’ leadership.

Conclusion

The findings highlight the fluidity of advanced practice nurses’ leadership roles in addressing complex patient needs. Future research should investigate contextual determinants shaping APN-led multidisciplinary teams, with particular emphasis on role transition processes.

Implications for nursing and policy

The findings suggest that policymakers should establish standardized APN titles, clearly defined scopes of practice, and accountability frameworks in alignment with international standards. Healthcare organizations should cultivate enabling environments through structural support, policy alignment, and organizational culture transformation.

目的本综述旨在描述高级执业护士(APN)领导的多学科团队在医疗保健环境中的领导角色、护理模式和有效性。新出现的国际证据表明,领导力是APN角色的核心特征。尽管在多学科团队中,高级实践护士在领导先进和可持续护理方面的参与越来越多,但目前对这种护理模式的理解是有限的。方法进行范围评价,并使用系统评价的首选报告项目和范围评价清单的元分析扩展进行报告。结果共纳入33项研究。在多学科团队中确定了高级实习护士的五种领导角色:个人贡献者、决策者、促进者、培训师和管理者。分析揭示了apn领导的团队中的三种护理模式:病例管理、小组干预和过渡护理。与医生主导的模型相比,这些模型显示出类似或更好的患者和组织结果。护理人员和医疗保健提供者一致认可和重视高级实践护士的领导。结论研究结果突出了高级实习护士在解决复杂患者需求方面的领导角色的流动性。未来的研究应该调查影响apn领导的多学科团队的环境决定因素,特别强调角色转换过程。研究结果表明,决策者应建立标准化的APN名称、明确界定的实践范围和与国际标准一致的问责制框架。医疗保健组织应该通过结构支持、政策协调和组织文化转型来培育有利的环境。
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引用次数: 0
Self-Assessment Organisational Readiness Tool (SORT) for Nursing Research Capacity Development: Results of a UK Delphi Study 护理研究能力发展的自我评估组织准备工具(SORT):英国德尔菲研究的结果
IF 3.7 3区 医学 Q1 NURSING Pub Date : 2025-09-01 DOI: 10.1111/inr.70084
Parveen Ali, Julie Mcgarry, Ashfaque Ahmed Talpur, Joanne Cooper, Joanne Cooke

Aim

This Delphi study aimed to develop the Self-assessment Organisational Readiness Tool (SORT), a prototype designed to assess healthcare organisations’ capacity to support nursing engagement in research activities.

Background

Nurses are pivotal to evidence-based healthcare, yet organisational barriers frequently hinder their engagement in research. Existing frameworks often lack the precision needed to evaluate organisational readiness to support nurses in research capacity building, leadership development and digital innovation. This study aims to bridge this gap through the development of the SORT framework.

Methods

A structured Delphi consensus-building process was conducted over three iterative rounds and supplemented by four expert working group workshops. Participants, identified through purposive sampling, included 43 professionals with expertise in research and development, evidence-based practice and clinical and research leadership. Quantitative data were analysed using consensus thresholds (≥70% agreement), while qualitative feedback informed the iterative refinement of the tool.

Findings

Consensus was achieved on 67 statements across five thematic areas: People-centred research, releasing potential, research systems, careers and digitally enabled research. Key items highlighted the importance of skills development, organisational leadership and collaboration with academia and patient/public involvement. Limited consensus in areas such as monitoring progress and digital research highlights the need for further refinement. SORT demonstrated strong face validity, with plans for reliability testing and factor analysis in future work.

Implications for Nursing Practice and Policy

SORT is designed to be used by nursing and R&D leaders, healthcare executives, managers and policymakers to evaluate and improve organisational readiness to support research aiming nurses in healthcare settings. It can inform strategic planning, workforce development and performance benchmarking within healthcare institutions. It will also serve as a guide to individual nurse respondents by increasing their awareness of various initiatives in their organisations that they should know about. SORT provides a practical framework for embedding research within healthcare organisations to

本德尔菲研究旨在开发自我评估组织准备工具(SORT),这是一个原型,旨在评估医疗机构在研究活动中支持护理参与的能力。护士是循证医疗保健的关键,然而组织障碍经常阻碍他们参与研究。现有框架往往缺乏评估组织准备情况所需的准确性,以支持护士进行研究能力建设、领导力发展和数字创新。本研究旨在通过SORT框架的发展来弥合这一差距。方法采用结构化的德尔菲共识建立过程,分三轮反复进行,并辅以四次专家工作组研讨会。通过有目的抽样确定的参与者包括43名在研发、循证实践以及临床和研究领导方面具有专长的专业人员。定量数据使用共识阈值(≥70%的一致性)进行分析,而定性反馈告知工具的迭代改进。会议就以下五个主题领域的67项声明达成共识:以人为本的研究、释放潜力、研究系统、职业和数字化研究。重点项目强调了技能发展、组织领导、与学术界合作以及患者/公众参与的重要性。在监测进展和数字研究等领域达成的有限共识凸显了进一步完善的必要性。SORT显示出较强的面效度,并计划在未来的工作中进行信度测试和因子分析。对护理实践和政策的影响SORT旨在由护理和研发领导者、医疗保健主管、管理人员和政策制定者使用,以评估和改进组织准备,以支持针对医疗保健环境中的护士的研究。它可以为医疗保健机构的战略规划、劳动力发展和绩效基准测试提供信息。它还将作为个别护士受访者的指南,通过提高他们对组织中他们应该知道的各种举措的认识。SORT提供了一个实用的框架,用于在医疗保健组织内嵌入研究,以支持护理实践。它为组织提供了一种工具,以确定研究能力的优势和差距,为劳动力发展和基础设施规划提供信息。政策制定者可以利用特别排序来衡量准备情况,并使战略与国家目标保持一致。虽然在英国开发,SORT有潜力支持全球推进护理研究能力的努力,因为这是第一个专门开发的工具来衡量组织是否愿意支持护士进行研究,并且已经引起了其他国家和专业的兴趣。结论:SORT代表了在医疗机构内培养研究文化的重要一步。通过与英国首席护理官战略保持一致,它支持循证实践,并增强护理对医疗质量和创新的贡献。未来的工作将侧重于验证SORT的可靠性,并扩大其在不同医疗保健环境中的适用性。
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引用次数: 0
Development of the Nurses’ Attitudes Toward Incarcerated Patients Scale: A Psychometric Study 护士对监禁病人态度量表的编制:一项心理测量学研究
IF 3.7 3区 医学 Q1 NURSING Pub Date : 2025-08-28 DOI: 10.1111/inr.70086
Büşra Dağci-Günal, Sultan Ayaz-Alkaya, Neslihan Köse-Kabakcioğlu, Adnan Kan

Aim

To develop an original scale to measure nurses’ attitudes toward incarcerated patients and assess its psychometric properties.

Methods

This study employed a psychometric testing approach involving test–retest design. The sample size was determined based on the rule of selecting a sample 5 to 10 times the number of scale items. The study included 672 nurses. Data were collected using the Descriptive Information Form and the Nurses’ Attitudes Toward Incarcerated Patients Scale. Content validity was determined using the Lawshe technique. Construct validity was examined through exploratory (n1  =  336) and confirmatory factor analysis (n2  =  336). Internal consistency was assessed using Cronbach's alpha coefficient. Temporal stability was evaluated through the test–retest method conducted four weeks later (n  =  32).

Results

The scale consists of 12 items and was categorized into three factors—discriminatory attitudes, emotional discomfort, and patient equality—accounting for 67.6% of the variance. Items with factor loadings between 0.69 and 0.85 supported the scale's validity. The fit indices from confirmatory factor analysis indicated an acceptable model fit. Internal consistency was confirmed with a Cronbach's alpha of 0.84. Test–retest reliability analysis showed moderate, significant correlations among subdimensions.

Conclusion

The scale is valid and reliable in assessing nurses’ attitudes toward incarcerated patients. Future research should test its applicability across diverse cultural and geographical contexts to enhance generalizability.

Implications for Nursing Policy

This study underscores the need for policies addressing nurses’ attitudes toward incarcerated patients. The developed scale may support the identification of biases and emotional discomfort, guiding targeted education and institutional interventions to promote equitable, ethical, and nonjudgmental healthcare practices.

目的编制一套测量护士对在押病人态度的量表,并评估其心理测量特性。方法采用重测设计的心理测试方法。样本量是根据量表项目数的5 ~ 10倍选择样本量的原则确定的。该研究包括672名护士。使用描述性信息表和护士对监禁病人的态度量表收集数据。内容效度采用Lawshe技术测定。通过探索性因子分析(n1 = 336)和验证性因子分析(n2 = 336)检验结构效度。内部一致性采用Cronbach’s alpha系数评估。时间稳定性通过四周后的重测法评估(n = 32)。结果量表由12个条目组成,分为歧视态度、情绪不适和患者平等三个因素,占方差的67.6%。因子负荷在0.69 ~ 0.85之间的条目支持量表的效度。验证性因子分析的拟合指标表明模型拟合可接受。内部一致性的Cronbach's alpha为0.84。重测信度分析显示各子维度间存在适度的显著相关。结论该量表用于评估护士对监禁患者的态度是有效、可靠的。未来的研究应测试其在不同文化和地理背景下的适用性,以提高普遍性。护理政策的启示本研究强调需要制定政策,解决护士对监禁病人的态度。开发的量表可以帮助识别偏见和情绪不适,指导有针对性的教育和机构干预,以促进公平、道德和非判断的医疗保健实践。
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引用次数: 0
Teaching Critical Thinking in the Age of AI: Safeguarding Clinical Reasoning in Healthcare Documentation 人工智能时代的批判性思维教学:保障医疗保健文档中的临床推理
IF 3.7 3区 医学 Q1 NURSING Pub Date : 2025-08-22 DOI: 10.1111/inr.70102
Brigitte Fong Yeong Woo, Jiyoun Song, Ed Middleton, Nino Fijačko, Kenrick Cato

Aim

To examine the implications of large language models (LLMs) in clinical documentation and explore strategies to preserve critical thinking among healthcare professionals in the age of artificial intelligence (AI).

Background

AI-powered documentation tools, particularly those using LLMs, are being rapidly adopted in healthcare to reduce administrative burden and enhance efficiency. However, concerns are emerging about their potential to undermine clinical reasoning, individualized care, and provider well-being.

Discussion

While AI offers substantial benefits, its overuse risks promoting automation complacency, exacerbating note bloat, and diminishing clinicians’ critical thinking. Clinical documentation reflects a cognitive process central to diagnosis and care planning. Safeguarding this process requires targeted education in AI literacy, active verification of AI outputs, and deliberate training in reflective practice and clinical reasoning.

Conclusion

AI must be integrated into clinical workflows with caution and transparency. Education and governance structures must prioritize critical thinking, accuracy, and ethical practice in documentation.

Implications for Nursing Practice and Health Policy

Nurses must develop AI literacy and maintain active engagement in documentation to preserve high standards of care. Policymakers should mandate AI evaluation frameworks that include clinician cognitive load and safety, and embed AI and critical thinking education into all levels of health professional training.

目的研究大型语言模型(llm)在临床文献中的意义,并探讨在人工智能(AI)时代保持医疗保健专业人员批判性思维的策略。基于人工智能的文档工具,特别是那些使用法学硕士的工具,正在医疗保健领域迅速采用,以减轻管理负担并提高效率。然而,人们越来越担心它们可能会破坏临床推理、个性化护理和提供者的福祉。虽然人工智能带来了巨大的好处,但它的过度使用可能会助长自动化的自满情绪,加剧笔记膨胀,并削弱临床医生的批判性思维。临床文献反映了诊断和护理计划中心的认知过程。维护这一进程需要有针对性地开展人工智能素养教育,积极验证人工智能输出,并在反思实践和临床推理方面进行刻意培训。结论人工智能必须谨慎透明地融入临床工作流程。教育和治理结构必须优先考虑文档中的批判性思维、准确性和道德实践。对护理实践和卫生政策的影响护士必须培养人工智能知识,并积极参与文件编制,以保持高标准的护理。政策制定者应强制制定包括临床医生认知负荷和安全性在内的人工智能评估框架,并将人工智能和批判性思维教育纳入各级卫生专业培训。
{"title":"Teaching Critical Thinking in the Age of AI: Safeguarding Clinical Reasoning in Healthcare Documentation","authors":"Brigitte Fong Yeong Woo,&nbsp;Jiyoun Song,&nbsp;Ed Middleton,&nbsp;Nino Fijačko,&nbsp;Kenrick Cato","doi":"10.1111/inr.70102","DOIUrl":"https://doi.org/10.1111/inr.70102","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To examine the implications of large language models (LLMs) in clinical documentation and explore strategies to preserve critical thinking among healthcare professionals in the age of artificial intelligence (AI).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>AI-powered documentation tools, particularly those using LLMs, are being rapidly adopted in healthcare to reduce administrative burden and enhance efficiency. However, concerns are emerging about their potential to undermine clinical reasoning, individualized care, and provider well-being.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Discussion</h3>\u0000 \u0000 <p>While AI offers substantial benefits, its overuse risks promoting automation complacency, exacerbating note bloat, and diminishing clinicians’ critical thinking. Clinical documentation reflects a cognitive process central to diagnosis and care planning. Safeguarding this process requires targeted education in AI literacy, active verification of AI outputs, and deliberate training in reflective practice and clinical reasoning.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>AI must be integrated into clinical workflows with caution and transparency. Education and governance structures must prioritize critical thinking, accuracy, and ethical practice in documentation.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Implications for Nursing Practice and Health Policy</h3>\u0000 \u0000 <p>Nurses must develop AI literacy and maintain active engagement in documentation to preserve high standards of care. Policymakers should mandate AI evaluation frameworks that include clinician cognitive load and safety, and embed AI and critical thinking education into all levels of health professional training.</p>\u0000 </section>\u0000 </div>","PeriodicalId":54931,"journal":{"name":"International Nursing Review","volume":"72 3","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144891608","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}
引用次数: 0
Nursing Academic Reviewers’ Perspectives on AI-Assisted Peer Review: Ethical Challenges and Acceptance 护理学术审稿人对人工智能辅助同行评议的看法:伦理挑战与接受
IF 3.7 3区 医学 Q1 NURSING Pub Date : 2025-08-20 DOI: 10.1111/inr.70100
Sayed Ibrahim Ali, Mostafa Shaban

Aim

This study aimed to explore the perceptions, experiences, and ethical considerations of nursing academic reviewers regarding the integration of artificial intelligence (AI) into the peer review process, with a focus on acceptance dynamics and implications for nursing journal policy.

Design

A qualitative descriptive design was employed, guided by an interpretivist approach and reported according to the COREQ checklist.

Methods

Fifteen nursing academic reviewers from four countries (Saudi Arabia, Egypt, Australia, and the United States) were recruited via snowball sampling. Semi-structured interviews were conducted between January and March 2025 using Zoom video conferencing. Interviews were held in Arabic or English, transcribed verbatim, translated as needed, and thematically analyzed using reflexive thematic analysis per Braun and Clarke's six-phase framework.

Results

Five themes were generated: perceived benefits of AI (efficiency, fairness, and workload reduction), ethical concerns (transparency, bias, and data privacy), risks to reviewer autonomy and judgment, divergent attitudes toward AI adoption, and the need for clear guidelines and training. Participants expressed cautious optimism, emphasizing that while AI tools may enhance consistency and reduce administrative burden, they raise complex ethical questions and must not replace human judgment.

Conclusion

The integration of AI into peer review processes presents both opportunities and ethical challenges. The nursing academic reviewers in this study recognize the utility of AI for supporting routine tasks but remain concerned about algorithmic bias, transparency, and its impact on scholarly independence. Ethical AI adoption requires structured policies and capacity-building initiatives.

Implications for nursing practice and policy

To uphold scholarly integrity, nursing journals and academic institutions should develop transparent AI governance frameworks, invest in reviewer education on responsible AI use, and preserve the central role of human judgment in peer review. These steps are vital to ensuring AI complements rather than compromises research quality and ethics in global nursing scholarship.

本研究旨在探讨护理学术审稿人在将人工智能(AI)整合到同行评审过程中的看法、经验和伦理考虑,重点关注接受动态及其对护理期刊政策的影响。设计采用定性描述性设计,以解释主义方法为指导,并根据COREQ检查表进行报告。方法采用滚雪球抽样法,从沙特阿拉伯、埃及、澳大利亚和美国4个国家招募15名护理学学术评议员。在2025年1月至3月期间,使用Zoom视频会议进行了半结构化访谈。访谈以阿拉伯语或英语进行,逐字记录,根据需要进行翻译,并根据Braun和Clarke的六阶段框架使用反思性主题分析进行主题分析。产生了五个主题:人工智能的感知好处(效率、公平和工作量减少)、伦理问题(透明度、偏见和数据隐私)、审稿人自主和判断的风险、对人工智能采用的不同态度,以及明确指导方针和培训的必要性。与会者表达了谨慎的乐观态度,强调虽然人工智能工具可以增强一致性并减轻行政负担,但它们会引发复杂的伦理问题,不能取代人类的判断。人工智能与同行评议过程的整合既带来了机遇,也带来了伦理挑战。本研究中的护理学术审稿人认识到人工智能在支持日常任务方面的效用,但仍然担心算法偏见、透明度及其对学术独立性的影响。合乎道德的人工智能采用需要结构化的政策和能力建设举措。为了维护学术诚信,护理期刊和学术机构应该开发透明的人工智能治理框架,投资于负责任的人工智能使用审稿人教育,并在同行评审中保持人类判断的核心作用。这些步骤对于确保人工智能补充而不是损害全球护理学术的研究质量和伦理至关重要。
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引用次数: 0
Fortifying the Nursing Workforce: Nursing-Led Psychological Capital Interventions to Advance Resilience, Occupational Hardiness, and Engagement: A Randomized Controlled Trial 加强护理队伍:护理主导的心理资本干预,以提高弹性,职业适应力和参与:一项随机对照试验
IF 3.7 3区 医学 Q1 NURSING Pub Date : 2025-08-14 DOI: 10.1111/inr.70094
Maha Arafat Mahmoud, Samah Mohamed Abdelrahim, Alaa Eldin Mostafa Hamed, Mohamed Ali Zoromba, Ashgan Fathy Mohamed

Background

Psychological capital, occupational hardiness, and work engagement are critical factors influencing workplace resilience and motivation. This study evaluates the impact of a nursing-led psychological capital intervention on these outcomes among nurses.

Methods

A randomized controlled trial was conducted with 174 nurses randomly assigned to the intervention group (IG, n = 87) or control group (CG, n = 87). The intervention comprised structured sessions targeting psychological capital development. Data were collected at baseline and after the intervention using validated measures of psychological capital, occupational hardiness, and work engagement. Statistical analyses included independent sample t-tests, paired sample t-tests, and effect size calculations.

Results

At baseline, no significant differences were observed between the IG and CG across sociodemographic variables or studied measures. Correlation analysis revealed strong positive relationships among psychological capital, occupational hardiness, and work engagement (p < 0.001). After the intervention, the IG demonstrated significant improvements across all outcomes. Psychological capital increased significantly in the IG (t2 = 14.463), with improvements noted in self-efficacy (t2 = 8.693), hope (t2 = 12.519), resilience (t2 = 13.285), and optimism (t2 = 7.833). Occupational hardiness subdomains also improved significantly, including control (t2 = 6.932), commitment (t2 = 7.261), and challenges (t2 = 6.561). Work engagement showed significant enhancements in vigor (t2 = 9.689), dedication (t2 = 6.315), and absorption (t2 = 8.174). Minimal changes were observed in the CG across all measures.

Conclusion

The psychological capital intervention effectively enhanced psychological capital, occupational hardiness, and work engagement among nurses. These findings highlight the potential of targeted interventions to improve workplace resilience and motivation. Future research should explore the long-term impacts of similar interventions in diverse professional settings.

背景心理资本、职业适应力和工作投入是影响职场弹性和工作动机的重要因素。本研究评估了护理主导的心理资本干预对护士这些结果的影响。方法采用随机对照试验方法,将174名护士随机分为干预组(IG, n = 87)和对照组(CG, n = 87)。干预包括针对心理资本发展的结构化会议。数据收集在基线和干预后使用有效的测量心理资本,职业适应性,和工作投入。统计分析包括独立样本t检验、配对样本t检验和效应量计算。结果在基线时,IG和CG在社会人口学变量或研究测量之间没有显著差异。相关分析显示心理资本、职业适应力和工作投入之间存在显著的正相关关系(p <;0.001)。干预后,IG显示所有结果均有显著改善。大学生的心理资本显著增加(t2 = 14.463),自我效能(t2 = 8.693)、希望(t2 = 12.519)、弹性(t2 = 13.285)和乐观(t2 = 7.833)显著提高。职业适应力子域也显著提高,包括控制(t2 = 6.932)、承诺(t2 = 7.261)和挑战(t2 = 6.561)。工作投入在活力(t2 = 9.689)、奉献(t2 = 6.315)和吸收(t2 = 8.174)上有显著提高。在所有测量中都观察到最小的CG变化。结论心理资本干预能有效提高护士的心理资本、职业适应力和工作敬业度。这些发现强调了有针对性的干预措施在提高工作场所弹性和积极性方面的潜力。未来的研究应该探索在不同的专业环境中类似的干预措施的长期影响。
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引用次数: 0
Levels of Flow at Work among Nurses: A Systematic Review and Meta-Analysis 护士工作中的心流水平:一项系统回顾和元分析
IF 3.7 3区 医学 Q1 NURSING Pub Date : 2025-08-12 DOI: 10.1111/inr.70098
Peishuang Wang, Rui Gao, Xinyan Zhuang, Yi Yang, Fang Zhou, Fang Wu, Jiao Wu, Shumin Tu, Nana Liu, Huihui Hu

Aim

To systematically evaluate the available literature on the overall levels of flow at work among nurses.

Background

Nurses are the core members of the medical team, who are confronted with considerable pressure, job burnout, and a high level of intention to leave. As flow refers to the optimal experiences that are the most enjoyable in human life when engaged in an activity with full involvement, a higher level of flow at work can help reduce work pressure, alleviate burnout, promote personal growth, and further improve the quality of nursing.

Method

A search was conducted on the Cochrane, EMBASE, PsycINFO, PubMed, Scopus, WOS, CINAHL, and Chinese databases, including the China Biomedical Literature (SinoMed), China National Knowledge Infrastructure (CNKI), WanFang, and Weipu databases, from the inception of the databases until October 2024. Two researchers independently conducted the literature screens, quality assessments, and data extraction on the basis of the inclusion and exclusion criteria and evaluated the risk of bias. A random-effects model was employed to achieve pooled estimates of work-related flow scales via Stata18.0 software.

Results

The pooled mean score of the work-related flow scale was 3.44 (95% CI, 3.28–3.60). Eleven studies reported scores for the subdimensions of absorption, work enjoyment, and intrinsic motivation, with scores of 3.38 (95% CI, 3.09–3.68), 3.12 (95% CI, 2.88–3.36), and 3.28 (95% CI, 3.00–3.56), respectively. Subgroup analysis suggested that nurses in China, nurses in general departments (internal medicine and surgery), and nurses ≤35 years of age might have experienced lower levels of flow at work. Additionally, studies with large sample sizes tended to report high levels of flow at work; studies published from 2019 to 2022 reported slightly higher levels of flow at work scores. Meta-regression further revealed that the country, mean age, and department of the participants might be the sources of heterogeneity.

Conclusion

This review is the first to synthesize published research and calculate a pooled score of flow at work among nurses. The results indicated that nurses reported a medium level of flow at work, with significant heterogeneity.

Implications for nursing policy

Policy makers and managers should dynamica

目的系统评价现有的关于护士工作流程总体水平的文献。护士是医疗团队的核心成员,他们面临着巨大的压力,工作倦怠,并且有很高的离职倾向。“心流”指的是人们全身心投入某项活动时所获得的最愉悦的最佳体验,因此在工作中,较高水平的“心流”有助于减轻工作压力、缓解倦怠、促进个人成长,并进一步提高护理质量。方法检索Cochrane、EMBASE、PsycINFO、PubMed、Scopus、WOS、CINAHL和中文数据库,包括中国生物医学文献(SinoMed)、中国知网(CNKI)、万方、卫普等数据库,检索时间为数据库建成至2024年10月。两名研究者根据纳入和排除标准独立进行文献筛选、质量评估和数据提取,并评估偏倚风险。采用随机效应模型,通过Stata18.0软件对工作流量表进行汇总估计。结果工作流量表合并平均得分为3.44分(95% CI为3.28 ~ 3.60)。11项研究报告了吸收、工作享受和内在动机子维度的得分,得分分别为3.38 (95% CI, 3.09-3.68)、3.12 (95% CI, 2.88-3.36)和3.28 (95% CI, 3.00-3.56)。亚组分析表明,中国护士、普通科(内科和外科)护士和年龄≤35岁的护士在工作中可能经历较低的心流水平。此外,大样本量的研究倾向于报告高水平的工作心流;2019年至2022年发表的研究报告显示,工作中的心流得分略高。元回归进一步揭示了国家、平均年龄和部门可能是异质性的来源。结论本综述首次综合了已发表的研究成果,并计算了护士工作流程的综合评分。结果表明,护士在工作中报告了中等水平的流动,具有显著的异质性。政策制定者和管理者应动态监测护士的工作流程水平,并将其纳入衡量和促进护士个人职业发展的参考指标体系。
{"title":"Levels of Flow at Work among Nurses: A Systematic Review and Meta-Analysis","authors":"Peishuang Wang,&nbsp;Rui Gao,&nbsp;Xinyan Zhuang,&nbsp;Yi Yang,&nbsp;Fang Zhou,&nbsp;Fang Wu,&nbsp;Jiao Wu,&nbsp;Shumin Tu,&nbsp;Nana Liu,&nbsp;Huihui Hu","doi":"10.1111/inr.70098","DOIUrl":"https://doi.org/10.1111/inr.70098","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To systematically evaluate the available literature on the overall levels of flow at work among nurses.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Nurses are the core members of the medical team, who are confronted with considerable pressure, job burnout, and a high level of intention to leave. As flow refers to the optimal experiences that are the most enjoyable in human life when engaged in an activity with full involvement, a higher level of flow at work can help reduce work pressure, alleviate burnout, promote personal growth, and further improve the quality of nursing.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Method</h3>\u0000 \u0000 <p>A search was conducted on the Cochrane, EMBASE, PsycINFO, PubMed, Scopus, WOS, CINAHL, and Chinese databases, including the China Biomedical Literature (SinoMed), China National Knowledge Infrastructure (CNKI), WanFang, and Weipu databases, from the inception of the databases until October 2024. Two researchers independently conducted the literature screens, quality assessments, and data extraction on the basis of the inclusion and exclusion criteria and evaluated the risk of bias. A random-effects model was employed to achieve pooled estimates of work-related flow scales via Stata18.0 software.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The pooled mean score of the work-related flow scale was 3.44 (95% CI, 3.28–3.60). Eleven studies reported scores for the subdimensions of absorption, work enjoyment, and intrinsic motivation, with scores of 3.38 (95% CI, 3.09–3.68), 3.12 (95% CI, 2.88–3.36), and 3.28 (95% CI, 3.00–3.56), respectively. Subgroup analysis suggested that nurses in China, nurses in general departments (internal medicine and surgery), and nurses ≤35 years of age might have experienced lower levels of flow at work. Additionally, studies with large sample sizes tended to report high levels of flow at work; studies published from 2019 to 2022 reported slightly higher levels of flow at work scores. Meta-regression further revealed that the country, mean age, and department of the participants might be the sources of heterogeneity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This review is the first to synthesize published research and calculate a pooled score of flow at work among nurses. The results indicated that nurses reported a medium level of flow at work, with significant heterogeneity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Implications for nursing policy</h3>\u0000 \u0000 <p>Policy makers and managers should dynamica","PeriodicalId":54931,"journal":{"name":"International Nursing Review","volume":"72 3","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144832797","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}
引用次数: 0
Fostering International Collaborations to Inform Nursing and Midwifery Policy: A Caribbean Initiative 促进国际合作,为护理和助产政策提供信息:加勒比倡议
IF 3.7 3区 医学 Q1 NURSING Pub Date : 2025-08-12 DOI: 10.1111/inr.70081
Eileen T. Lake, Adelais Markaki, Oscar Ocho, Tina J. Kavukattu, Denise Bryant-Lukosius, Jody R. Lori, Dawn Munroe, Susan M. Walsh, Edwin Bolastig, Bruna Moreno Dias, Vishwanath Partapsingh, Carmen Alvarez, Pauline Anderson-Johnson, Monique Lynch, Jaime Wynter-Hewitt
<div> <section> <h3> Aim</h3> <p>This initiative aimed to contribute to the Pan American Health Organization/World Health Organization's (PAHO/WHO) strategic goals for nursing and midwifery workforce development in the Caribbean by establishing a collaboration to streamline processes to collect comprehensive region-wide data and reduce respondent burden.</p> </section> <section> <h3> Background</h3> <p>The Caribbean region faces persistent challenges in nursing and midwifery workforce development due to high migration rates, workforce shortages, and limited regional data collection. Seven PAHO/WHO Collaborating Centers (CCs) for Nursing and Midwifery were tasked separately with Terms of Reference to support the human resources for health (HRH)-related Sustainable Development Goals of Caribbean countries.</p> </section> <section> <h3> Sources of evidence</h3> <p>PAHO-tasked Terms of Reference for CC activities and strategic priorities in the Caribbean.</p> </section> <section> <h3> Discussion</h3> <p>Using Donabedian's structure–process–outcome model, we described the development, implementation, and impact of this initiative. Structural components included the Pan American Collaborating Centers for Nursing and Midwifery (PANMCC) network, formal leadership, PAHO support, team commitment and expertise, and resources. The process emphasized regular communication, stakeholder engagement, and a collaborative approach to survey design and distribution. Outcomes included the successful development and implementation of a comprehensive survey, improved data quality, reduced respondent burden, and shared learning. Unexpected benefits were the strengthening of the PANMCC network and further opportunities for collaboration.</p> </section> <section> <h3> Conclusion</h3> <p>The success of this initiative was attributed to structures and processes that set the foundation for effective communication, collaboration, and synergies among the CCs to achieve project goals.</p> </section> <section> <h3> Implications for nursing policy and practice</h3> <p>This international collaboration showcased the importance of strong leadership, mutual commitment, and unwavering support from the PANMCC network. The findings demonstrate the potential of coordinated efforts to inform nursing and midwifery HRH policy and practice in resource-constrained regions.</p> </
该倡议旨在通过建立协作,简化收集全区域全面数据和减轻应答者负担的程序,促进泛美卫生组织/世界卫生组织(泛美卫生组织/世卫组织)加勒比护理和助产人力发展战略目标。由于高迁移率、劳动力短缺和有限的区域数据收集,加勒比地区在护理和助产劳动力发展方面面临持续挑战。7个泛美卫生组织/世卫组织护理和助产合作中心分别承担了职责,以支持加勒比国家与卫生有关的人力资源可持续发展目标。证据来源泛美卫生组织为加勒比的协调中心活动和战略优先事项指定了职权范围。使用Donabedian的结构-过程-结果模型,我们描述了该计划的开发、实施和影响。结构组成部分包括泛美护理和助产合作中心(PANMCC)网络、正式领导、泛美卫生组织支持、团队承诺和专业知识以及资源。这个过程强调定期沟通,利益相关者参与,以及调查设计和分发的协作方法。结果包括全面调查的成功开发和实施、数据质量的提高、受访者负担的减轻和学习的共享。意想不到的好处是加强了PANMCC网络和进一步的合作机会。该计划的成功归功于为cc之间的有效沟通、协作和协同作用奠定基础的结构和过程,以实现项目目标。对护理政策和实践的影响这一国际合作显示了PANMCC网络强有力的领导、相互承诺和坚定支持的重要性。研究结果表明,在资源受限地区,通过协调努力为护理和助产卫生人力资源政策和实践提供信息具有潜力。
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引用次数: 0
The International Advanced Practice Nurse Integration Policy Intervention Taxonomy: A 10-Country Nominal Group Consensus Technique Study 国际高级执业护士整合政策干预分类:一项10国名义群体共识技术研究
IF 3.7 3区 医学 Q1 NURSING Pub Date : 2025-08-12 DOI: 10.1111/inr.70096
Joshua Porat-Dahlerbruch, Tatyana Miller, Jocelyn Boyd, Moriah E. Ellen, Rebecca R. S. Clark
<div> <section> <h3> Aim</h3> <p>To develop an international taxonomy of policy interventions for integrating advanced practice nurses into health systems.</p> </section> <section> <h3> Background</h3> <p>Advanced practice nurse integration is the extent to which advanced practice nurses can function to the full extent of their education and scope of practice and contribute to better outcomes. Several barriers to integration are common across countries, such as an ill-defined scope of practice, lacking leadership engagement, and insufficient knowledge of the role. Barriers are attributed to a dearth of knowledge on evidence-based policy interventions guiding integration.</p> </section> <section> <h3> Methods</h3> <p>This was a nominal group expert consensus study with participants from multiple countries. Participants were divided into three meetings consisting of silent review of a preliminary taxonomy developed from a literature review and single-country testing, round-robin feedback, live revisions, and consensus voting. Each meeting resulted in a unique taxonomy, which researchers synthesized into one version. The synthesized taxonomy was sent for member checking and final consensus voting. The Accurate Consensus Reporting Document was used.</p> </section> <section> <h3> Results</h3> <p>There were 12 experts representing 10 countries. Fifty-nine policy interventions were mapped to 14 categories. National-level categories included regulation, economic incentives, stakeholder cooperation, education and workforce development, marketing, and research. Organizational interventions included organizational guidelines, infrastructure development and resource allocation, interprofessional leadership engagement, and organizational messaging. Care team–level interventions included interprofessional experience/exposure, team communication, work environment, and research opportunities.</p> </section> <section> <h3> Discussion</h3> <p>This taxonomy builds on prior research by including participants across countries with varying health system governance, wealth, and advanced practice development.</p> </section> <section> <h3> Conclusion</h3> <p>Applying this taxonomy may contribute to more efficacious advanced practice nursing integration and potentially improve outcomes.</p> </section> <section>
目的:为将高级执业护士纳入卫生系统制定一套国际政策干预分类法。高级执业护士整合是指高级执业护士能够充分发挥其教育和实践范围的作用并为更好的结果做出贡献的程度。整合的几个障碍在各国都很普遍,例如实践范围不明确、缺乏领导参与以及对角色的认识不足。障碍是由于缺乏关于指导一体化的循证政策干预措施的知识。方法这是一个名义上的小组专家共识研究,参与者来自多个国家。参与者被分为三个会议,包括对从文献回顾和单一国家测试中制定的初步分类进行沉默审查,循环反馈,实时修订和协商一致投票。每次会议都产生了一个独特的分类,研究人员将其合成为一个版本。将合成的分类法发送给成员检查和最终的共识投票。采用了准确共识报告文件。结果共有12名专家代表10个国家。59项政策干预被划分为14类。国家层面的分类包括监管、经济激励、利益相关者合作、教育和劳动力发展、营销和研究。组织干预包括组织指导方针、基础设施开发和资源分配、跨专业领导参与和组织信息传递。护理团队层面的干预包括跨专业经验/接触、团队沟通、工作环境和研究机会。该分类法建立在先前研究的基础上,纳入了具有不同卫生系统治理、财富和先进实践发展的国家的参与者。结论应用该分类方法可有效整合高级护理实践,提高临床疗效。本文包括了一份使干预措施适应卫生系统、组织或护理团队的指南。
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引用次数: 0
Unpacking Policy Implementation Science: What Is It and Why Does It Matter in Nursing? 政策实施科学:什么是政策实施科学,为什么在护理中如此重要?
IF 3.7 3区 医学 Q1 NURSING Pub Date : 2025-08-12 DOI: 10.1111/inr.70101
Ahtisham Younas

Background

Implementation science is concerned with identifying, applying, and evaluating the most pertinent approaches to translate evidence and innovation into practice. Innovation or evidence that needs to be translated into practice may include new programs, practices, principles, procedures, products, pills, and policies (7Ps). Literature about implementation science in nursing has focused mainly on implementation and uptake of practices, programs, products, and principles, but limited attention has been given to policy. Policy implementation is an emerging topic of discussion in implementation research.

Purpose

The purpose of this paper is to provide a comprehensive overview of policy implementation science, how policy can be conceptualized in implementation research, and why it is essential to advance policy implementation science in nursing.

Discussion

Policy implementation work carried out in a timely and sustainable manner can pave the way for more effective translation of evidence into impactful policy changes, thereby enhancing patient outcomes, optimizing nursing practice, and strengthening the healthcare system as a whole.

Conclusions

With the ongoing evolution of the policy work in the nursing profession, it is imperative that policy implementation work is prioritized through focused attention to understanding the distinct processes, interest holders’ dynamics, and contextual factors that influence policy uptake in nursing.

Implications for nursing policy

Nurses need to proactively engage in policy implementation research to empower themselves to become active agents of change through shaping and implementing policies that genuinely serve the needs of patients and the profession.

实施科学关注的是识别、应用和评估最相关的方法,将证据和创新转化为实践。需要转化为实践的创新或证据可能包括新的项目、实践、原则、程序、产品、药物和政策(7p)。关于护理实施科学的文献主要集中在实践、方案、产品和原则的实施和吸收上,但对政策的关注有限。政策实施是政策实施研究中的一个新兴话题。本文的目的是全面概述政策执行科学,政策如何在实施研究中概念化,以及为什么在护理中推进政策执行科学至关重要。及时和可持续地开展政策实施工作可以为更有效地将证据转化为有影响力的政策变化铺平道路,从而提高患者的治疗效果,优化护理实践,并加强整个医疗保健系统。随着护理专业政策工作的不断发展,政策实施工作必须通过重点了解不同的过程、利益相关者的动态和影响护理政策吸收的背景因素来优先考虑。护士需要积极参与政策实施研究,通过制定和实施真正满足患者和专业需求的政策,使自己成为变革的积极推动者。
{"title":"Unpacking Policy Implementation Science: What Is It and Why Does It Matter in Nursing?","authors":"Ahtisham Younas","doi":"10.1111/inr.70101","DOIUrl":"https://doi.org/10.1111/inr.70101","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Implementation science is concerned with identifying, applying, and evaluating the most pertinent approaches to translate evidence and innovation into practice. Innovation or evidence that needs to be translated into practice may include new programs, practices, principles, procedures, products, pills, and policies (7Ps). Literature about implementation science in nursing has focused mainly on implementation and uptake of practices, programs, products, and principles, but limited attention has been given to policy. Policy implementation is an emerging topic of discussion in implementation research.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>The purpose of this paper is to provide a comprehensive overview of policy implementation science, how policy can be conceptualized in implementation research, and why it is essential to advance policy implementation science in nursing.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Discussion</h3>\u0000 \u0000 <p>Policy implementation work carried out in a timely and sustainable manner can pave the way for more effective translation of evidence into impactful policy changes, thereby enhancing patient outcomes, optimizing nursing practice, and strengthening the healthcare system as a whole.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>With the ongoing evolution of the policy work in the nursing profession, it is imperative that policy implementation work is prioritized through focused attention to understanding the distinct processes, interest holders’ dynamics, and contextual factors that influence policy uptake in nursing.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Implications for nursing policy</h3>\u0000 \u0000 <p>Nurses need to proactively engage in policy implementation research to empower themselves to become active agents of change through shaping and implementing policies that genuinely serve the needs of patients and the profession.</p>\u0000 </section>\u0000 </div>","PeriodicalId":54931,"journal":{"name":"International Nursing Review","volume":"72 3","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144832793","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}
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International Nursing Review
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