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“How Could the Procedure be Done to Care for Them?”: An Interpretive Description Study of Procedural Care in a Pediatric Oncology Setting “怎么做才能照顾他们?”一项关于儿科肿瘤学环境程序性护理的解释性描述研究。
IF 2.3 4区 医学 Q1 NURSING Pub Date : 2025-12-28 DOI: 10.1016/j.soncn.2025.152118
Emma Kerr , Ruth Tan , Leisha Parkinson , Merrill Turpin , Amanda Carter , Natalie Bradford , Megan Simons

Objectives

This study addressed the research question "What are the components of Procedural Care in oncology that contribute to the best possible experience of medical procedures?"

Method

Using an interpretative description approach, semi-structured interviews were conducted to explore lived experiences of procedural care within their cancer journey or a supportive role.

Results

Seventeen interviews were completed with five health professionals (nursing and allied health), four young persons and eight carers, and transcribed verbatim. Three central organizing concepts were applicable across the three cohorts to describe the best possible "procedural care" experience: "Giving Us Choice," "Teaching Us" and "Supporting Us." Young people value having autonomy over decisions regarding procedures, with control across a continuum.

Conclusions

Young people and their carers felt empowered through supportive "procedural care" which was underpinned by principles of person-centred care, including collaboratively creating treatment plans and education on language use that was applicable regardless of the environment (eg, home vs hospital).

Implications for Nursing Practice

Nursing confidence in delivering "procedural care" may shape a child's lifelong engagement with healthcare and increase nursing workforce wellbeing.
目的:本研究解决了研究问题“肿瘤学程序护理的哪些组成部分有助于获得最佳的医疗程序体验?”方法:采用解释性描述方法,进行半结构化访谈,以探索他们在癌症旅程中程序性护理的生活经历或支持角色。结果:对5名卫生专业人员(护理和相关卫生)、4名年轻人和8名护理人员进行了17次访谈,并逐字记录。三个中心组织概念适用于三个队列,以描述可能的最佳“程序护理”体验:“给我们选择”,“教我们”和“支持我们”。年轻人重视在程序决策方面的自主权,并对整个过程进行控制。结论:年轻人和他们的照顾者通过支持性的“程序性照顾”感到有了能力,这种照顾是以人为本的照顾原则为基础的,包括合作制定治疗计划和语言使用教育,无论环境如何(例如,家庭还是医院)都适用。对护理实践的影响:提供“程序性护理”的护理信心可能会影响儿童对医疗保健的终身参与,并增加护理人员的福祉。
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引用次数: 0
Artificial Intelligence in Adolescent and Young Adult Cancer Care: A Discussion Paper 人工智能在青少年和青年癌症护理:讨论文件。
IF 2.3 4区 医学 Q1 NURSING Pub Date : 2025-12-27 DOI: 10.1016/j.soncn.2025.152091
Wendy McInally , Hannah R. Marston

Purpose

The number of adolescents and young adults (AYAs) with cancer has increased over the past 30 years. Fundamental to this process has been the combined contribution from nursing and other health care professionals.

Methods

The authors discuss artificial intelligence (AI) and digital technologies to support the care of AYAs with cancer in the United Kingdom. Two innovative projects are highlighted: (1) the development of a living lab and (2) a virtual clinical placement for undergraduate nursing students, currently being undertaken through higher education institutions and a cancer association in the United Kingdom that will embrace AI and digital technologies for the care delivery for young people with cancer.

Results

Evidence suggests AYAs with cancer face specific vulnerability in the social domain; fragile employment, finance, delayed education, and lost personal relationships remain a substantial problem. To combat these social inequalities, case 1 specifically focuses on these social aspects to build a community and combat the challenges and barriers experienced. Case 2 addresses the challenges of ensuring undergraduate nurses have exposure to AYAs with cancer to encourage more qualified nurses to have an interest in this area of care and seek a professional career within this specialty moving forward.

Conclusions

The discourse presented here sets the foundations for future (applied) research, ensuring that future practitioners and educators are equipped with the skills and knowledge pertaining to the integration and use of AI and eHealth technologies in the clinical environment.
Implications for Nursing Practice: This discussion paper presents two examples of the use of AI and technologies in AYA cancer care for nurses and other health care professionals. These examples are from work that is currently being developed and rolled out throughout the United Kingdom.
目的:在过去的30年里,青少年和青壮年(AYAs)患癌症的人数有所增加。这一过程的基础是护理和其他卫生保健专业人员的共同贡献。方法:作者讨论了人工智能(AI)和数字技术,以支持英国的aya癌症护理。重点介绍了两个创新项目:(1)开发一个生活实验室;(2)为本科护理学生提供虚拟临床实习,目前正在通过英国的高等教育机构和癌症协会进行,该协会将采用人工智能和数字技术为患有癌症的年轻人提供护理。结果:有证据表明,患有癌症的青少年在社会领域面临特殊的脆弱性;脆弱的就业、金融、延迟的教育和失去的人际关系仍然是一个严重的问题。为了对抗这些社会不平等,案例1特别关注这些社会方面,以建立一个社区,并对抗所经历的挑战和障碍。案例2解决了确保本科护士接触癌症患者的挑战,以鼓励更多合格的护士对这一护理领域产生兴趣,并在这一专业领域寻求职业生涯。结论:本文提出的论述为未来(应用)研究奠定了基础,确保未来的从业者和教育工作者具备在临床环境中整合和使用人工智能和电子卫生技术的技能和知识。对护理实践的影响:这篇讨论论文介绍了人工智能和技术在护士和其他卫生保健专业人员的AYA癌症护理中的两个例子。这些例子来自目前正在开发并在整个英国推广的工作。
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引用次数: 0
Service Delivery Models of Respite Care for Adults with Cancer: A Scoping Review 成人癌症暂息护理的服务提供模式:范围综述。
IF 2.3 4区 医学 Q1 NURSING Pub Date : 2025-12-26 DOI: 10.1016/j.soncn.2025.152089
Nasrin Kheibar , Azad Rahmani , Vahid Pakpour , Maryam Rassouli , Fatemeh Sadeghi-Ghyassi

Objective

To identify, describe, and compare existing gray literature and scientific evidence concerning delivery models of respite care for adults with cancer using the Donabedian Structure–Process–Outcome (SPO) framework.

Methods

Following Joanna Briggs Institute methodology, we systematically searched MEDLINE, PubMed, EMBASE, CINAHL, Cochrane Library, Scopus, Web of Science, Google Scholar, and gray literature. The search cutoff date was February 2025. Rayyan facilitated efficient screening. Data were coded and organized by SPO components.

Results

Sixty-one studies met inclusion criteria. Respite care in cancer and palliative contexts emerged as a primary concept with four subcategories: delivery models, definitions, needs, and goals. Delivery models identified included in-home, day-care, inpatient, informal, family-centered, bereavement, virtual reality–based, and caregiver café models. Using the SPO framework, model elements were organized into three categories. Structure encompassed financing, human resources, service scheduling, barriers, and facilitators. Process covered admission criteria, admission procedures, and services provided. Outcome comprised experiences and related consequences. Despite diversity among models, common features appeared frequently. Innovative models emphasize psychosocial needs alongside common general and specialized services for patients and caregivers. However, evidence on their effectiveness and comparative outcomes remains limited, with most studies conducted in high-income countries.

Conclusion

Despite variations, the similarities among delivery models suggest potential for general development. Given the predominance of studies from developed contexts, further research is necessary to evaluate the effectiveness and generalizability across cultures and to expand the measurement of clinical, organizational, and economic outcomes.

Implications for Nursing Practice

These outcomes can inform development and standardization of respite care protocols within the SPO framework. Nurses can establish guidelines and clinical pathways across care settings, such as in-home, day-care, inpatient, bereavement, and virtual models. Addressing barriers and facilitators will improve accessibility and use by patients and caregivers. Preparing nurses for diverse respite care roles may enhance caregiver trust and engagement.
目的:利用Donabedian结构-过程-结果(SPO)框架识别、描述和比较现有的关于成人癌症患者暂息护理交付模式的灰色文献和科学证据。方法:采用Joanna Briggs研究所的方法,系统检索MEDLINE、PubMed、EMBASE、CINAHL、Cochrane Library、Scopus、Web of Science、谷歌Scholar和灰色文献。搜索截止日期是2025年2月。Rayyan促进了有效的筛查。数据由SPO组件编码和组织。结果:61项研究符合纳入标准。癌症和姑息治疗背景下的临时护理作为一个主要概念出现,有四个子类:交付模式、定义、需求和目标。所确定的交付模式包括家庭、日托、住院、非正式、以家庭为中心、丧亲、基于虚拟现实和护理人员咖啡模式。使用SPO框架,模型元素被组织成三种类型。结构包括融资、人力资源、服务安排、障碍和促进因素。流程包括录取标准、录取程序和提供的服务。结果包括经验和相关后果。尽管模型之间存在差异,但经常出现共同的特征。创新模式强调心理社会需求以及为患者和护理人员提供的普通和专业服务。然而,关于其有效性和比较结果的证据仍然有限,大多数研究都是在高收入国家进行的。结论:尽管存在差异,但交付模式之间的相似性表明了普遍发展的潜力。鉴于来自发达国家的研究占主导地位,有必要进一步研究以评估跨文化的有效性和普遍性,并扩大临床、组织和经济结果的测量。对护理实践的影响:这些结果可以为SPO框架内的临时护理方案的发展和标准化提供信息。护士可以在家庭、日托、住院、丧亲之痛和虚拟模型等护理环境中建立指南和临床路径。解决障碍和促进因素将改善患者和护理人员的可及性和使用情况。为护士准备不同的临时护理角色可以提高护理人员的信任和参与。
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引用次数: 0
Artificial Intelligence in Cancer Care 癌症治疗中的人工智能。
IF 2.3 4区 医学 Q1 NURSING Pub Date : 2025-12-25 DOI: 10.1016/j.soncn.2025.152094
Andreas Charalambous , Nikolina Dodlek
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引用次数: 0
Theoretical Perspectives on Patient and Caregiver Experiences After CAR T-Cell Therapy CAR - t细胞治疗后患者和护理者体验的理论观点。
IF 2.3 4区 医学 Q1 NURSING Pub Date : 2025-12-23 DOI: 10.1016/j.soncn.2025.152095
Iman Nurjaman, Blacius Dedi, Depi Rismayanti, Ade Fitriani, Rany Yulianie
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引用次数: 0
Artificial Intelligence in Colorectal Cancer Supportive Care: A Scoping Review 人工智能在结直肠癌支持治疗中的应用综述
IF 2.3 4区 医学 Q1 NURSING Pub Date : 2025-12-20 DOI: 10.1016/j.soncn.2025.152079
Yupawadee Kantabanlang , Misun Hwang , John C. Krauss , Yun Jiang

Purpose

Artificial Intelligence (AI) has the potential to enhance supportive care for cancer survivors from diagnosis through treatment and into survivorship. This study aimed to provide an overview of available evidence on AI applications in supportive care for individuals with colorectal cancer (CRC).

Methods

This scoping review was conducted following the Joanna Briggs Institute guidelines. Studies published between 2014 and 2025 were retrieved from six databases: PubMed, Embase, CINAHL, Scopus, Web of Science, and PsycINFO, using a combination of search terms relevant to “colorectal cancer,” “artificial intelligence,” and “supportive care.” Data on study characteristics, participants, settings, types of AI technologies, and supportive care dimensions were extracted for analysis.

Results

Out of 1,792 articles, 40 were identified as eligible for inclusion in this scoping review. AI applications for CRC supportive care are primarily in early development, focusing on machine learning-based prediction models that provide informational support for post-surgical side effects. The use of AI for physical support in symptom management and emotional support during cancer treatment and beyond was limited.

Conclusion

Implementing AI technology offers an opportunity to enhance supportive care for patients with CRC. This study suggests that current AI applications for CRC supportive care primarily focus on informational support, underscoring the need for further development of AI to provide comprehensive support, including psychological, social, spiritual, and practical aspects.

Implications for Nursing Practice

Further research is needed to develop AI-driven tools that comprehensively address the supportive care needs of cancer patients and enhance their outcomes.
目的:人工智能(AI)有可能增强对癌症幸存者从诊断到治疗到生存的支持性护理。本研究旨在概述人工智能在结直肠癌(CRC)患者支持性护理中的应用。方法:根据乔安娜布里格斯研究所的指导方针进行范围审查。2014年至2025年间发表的研究从六个数据库中检索:PubMed、Embase、CINAHL、Scopus、Web of Science和PsycINFO,使用与“结直肠癌”、“人工智能”和“支持性护理”相关的搜索词组合。提取有关研究特征、参与者、设置、人工智能技术类型和支持性护理维度的数据进行分析。结果:在1792篇文章中,有40篇被确定为符合纳入本范围综述的条件。人工智能在CRC支持治疗中的应用主要处于早期开发阶段,重点是基于机器学习的预测模型,为术后副作用提供信息支持。在癌症治疗期间及其后,人工智能在症状管理和情感支持方面的物理支持的使用是有限的。结论:人工智能技术的实施为加强结直肠癌患者的支持性护理提供了机会。本研究表明,目前人工智能在结直肠癌支持治疗中的应用主要集中在信息支持上,需要进一步发展人工智能来提供包括心理、社会、精神和实践方面的综合支持。对护理实践的影响:需要进一步研究开发人工智能驱动的工具,以全面解决癌症患者的支持性护理需求并提高其结果。
{"title":"Artificial Intelligence in Colorectal Cancer Supportive Care: A Scoping Review","authors":"Yupawadee Kantabanlang ,&nbsp;Misun Hwang ,&nbsp;John C. Krauss ,&nbsp;Yun Jiang","doi":"10.1016/j.soncn.2025.152079","DOIUrl":"10.1016/j.soncn.2025.152079","url":null,"abstract":"<div><h3>Purpose</h3><div>Artificial Intelligence (AI) has the potential to enhance supportive care for cancer survivors from diagnosis through treatment and into survivorship. This study aimed to provide an overview of available evidence on AI applications in supportive care for individuals with colorectal cancer (CRC).</div></div><div><h3>Methods</h3><div>This scoping review was conducted following the Joanna Briggs Institute guidelines. Studies published between 2014 and 2025 were retrieved from six databases: PubMed, Embase, CINAHL, Scopus, Web of Science, and PsycINFO, using a combination of search terms relevant to “colorectal cancer,” “artificial intelligence,” and “supportive care.” Data on study characteristics, participants, settings, types of AI technologies, and supportive care dimensions were extracted for analysis.</div></div><div><h3>Results</h3><div>Out of 1,792 articles, 40 were identified as eligible for inclusion in this scoping review. AI applications for CRC supportive care are primarily in early development, focusing on machine learning-based prediction models that provide informational support for post-surgical side effects. The use of AI for physical support in symptom management and emotional support during cancer treatment and beyond was limited.</div></div><div><h3>Conclusion</h3><div>Implementing AI technology offers an opportunity to enhance supportive care for patients with CRC. This study suggests that current AI applications for CRC supportive care primarily focus on informational support, underscoring the need for further development of AI to provide comprehensive support, including psychological, social, spiritual, and practical aspects.</div></div><div><h3>Implications for Nursing Practice</h3><div>Further research is needed to develop AI-driven tools that comprehensively address the supportive care needs of cancer patients and enhance their outcomes.</div></div>","PeriodicalId":54253,"journal":{"name":"Seminars in Oncology Nursing","volume":"42 1","pages":"Article 152079"},"PeriodicalIF":2.3,"publicationDate":"2025-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145800879","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}
引用次数: 0
The Effect of Interpersonal Psychotherapy on Psychosocial Problems Among Breast Cancer Patients: A Systematic Review. 人际心理治疗对乳腺癌患者心理社会问题的影响:系统综述。
IF 2.3 4区 医学 Q1 NURSING Pub Date : 2025-12-19 DOI: 10.1016/j.soncn.2025.152080
Tuğba Şahin Tokatlıoğlu, Fahriye Oflaz

Objective: Breast cancer, one of the most prevalent cancers among women, not only results in significant physical changes but also causes considerable emotional distress and disruptions in social roles and relationships. While depression is the most commonly observed psychiatric disorder in cancer patients, there is a lack of sufficient research on the effectiveness, potential drug interactions, and side effects of antidepressants in this population. This gap underscores the increasing need for non-pharmacological approaches, such as psychotherapy. Therefore, the aim of this study was to assess the effectiveness of Interpersonal Psychotherapy (IPT) in addressing psychosocial challenges faced by breast cancer patients.

Methods: This systematic review was registered in the PROSPERO database (CRD42024576746). A systematic literature search was conducted across five databases: Cochrane Library, PubMed, Web of Science, Scopus, and Ovid MEDLINE. The review was carried out according to PRISMA guidelines. Study selection and data extraction were independently performed by two researchers using the Covidence platform. Disagreements were resolved through discussion to reach consensus.

Results: Four studies (two randomized controlled trials [RCTs], two pilots) met inclusion criteria. IPT significantly reduced depression, anxiety, and psychological distress, with some studies also reporting improvements in quality of life. One study showed strong effect sizes (Cohen's d > 1.0) for depression. Telephone-based IPT was feasible and beneficial. Findings support IPT as an effective psychosocial intervention for breast cancer patients.

Conclusion: IPT appears to be an effective intervention for reducing anxiety and depression and enhancing quality of life in patients with breast cancer. However, further high-quality, large-scale RCTs are needed to strengthen the evidence base and confirm its clinical utility.

目的:乳腺癌是女性中最常见的癌症之一,它不仅会导致显著的身体变化,还会导致相当大的情绪困扰和社会角色和人际关系的中断。虽然抑郁症是癌症患者中最常见的精神障碍,但对抗抑郁药在这一人群中的有效性、潜在的药物相互作用和副作用缺乏足够的研究。这一差距凸显了对心理治疗等非药物治疗方法日益增长的需求。因此,本研究的目的是评估人际心理治疗(IPT)在解决乳腺癌患者面临的社会心理挑战方面的有效性。方法:本系统评价在PROSPERO数据库注册(CRD42024576746)。系统地检索了5个数据库:Cochrane Library、PubMed、Web of Science、Scopus和Ovid MEDLINE。审查是根据PRISMA的指导方针进行的。研究选择和数据提取由两名研究人员使用covid平台独立进行。通过讨论解决分歧,达成共识。结果:4项研究(2项随机对照试验[rct], 2名试点)符合纳入标准。IPT显著减少了抑郁、焦虑和心理困扰,一些研究还报告了生活质量的改善。一项研究显示抑郁症有很强的效应量(Cohen’s d bbb1.0)。基于电话的IPT是可行和有益的。研究结果支持IPT作为一种有效的乳腺癌患者心理社会干预手段。结论:IPT似乎是一种有效的干预措施,可以减少乳腺癌患者的焦虑和抑郁,提高生活质量。然而,需要进一步的高质量、大规模的随机对照试验来加强证据基础并确认其临床应用。
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引用次数: 0
Exercise During or After Intravesical Therapy for Bladder Cancer: A Randomized Feasibility Trial 膀胱癌膀胱内治疗期间或之后的运动:一项随机可行性试验。
IF 2.3 4区 医学 Q1 NURSING Pub Date : 2025-12-18 DOI: 10.1016/j.soncn.2025.152090
Fernanda Z. Arthuso , Adrian S. Fairey , Normand G. Boulé , Niels-Erik Jacobsen , Lucas W. Dean , Kerry S. Courneya

Objectives

About 75% of newly diagnosed bladder cancers are non-muscle invasive bladder cancer (NMIBC). NMIBC and its treatments affect patient functioning and quality of life. Exercise is feasible, safe, and beneficial for many cancer patient groups, however, no studies have examined exercise for NMIBC. We aimed to examine the feasibility, safety, and preliminary efficacy of high-intensity interval training (HIIT) for patients with NMIBC during or after intravesical therapy.

Methods

The Bladder cancer and exeRcise trAining during or after intraVesical thErapy (BRAVE) trial randomized 25 NMIBC patients scheduled for or on surveillance after intravesical therapy to either usual care (n = 12) or HIIT (n = 13). The HIIT group performed thrice-weekly, supervised HIIT for 12 weeks.

Results

In 39 months, 293 patients were screened, 177 (60.4%) were eligible, and 25 (14.1%) were randomized. Median exercise attendance was 100%. From baseline to 12 weeks, VO2peak increased by 1.2 mL/kg/min in the HIIT group compared to a decrease of 0.7 mL/kg/min in the usual care group (adjusted between-group difference, 2.0 mL/kg/min; 95% CI: −0.4 to 4.4; P = .10; d = 0.37). Compared to the usual care group at 12 weeks, the HIIT group significantly improved 6-minute walk distance (adjusted between-group difference, 41 meters; 95% CI: 6-77; P = .025; d = 0.32) and the timed 8-foot up-and-go (adjusted between-group difference, −1.0 second; 95% CI: −1.9 to −0.2; P = .019; d = −0.44).

Conclusions

Despite modest accrual, the BRAVE trial demonstrated that HIIT during or after intravesical therapy was safe and feasible for most NMIBC patients and resulted in meaningful improvements in several indicators of physical functioning.

Implications for Nursing Practice

Oncology nurses can inform NMIBC patients that high-intensity interval training may be safe, feasible, and potentially effective in improving physical functioning during or after intravesical therapy.
目的:约75%的新诊断膀胱癌为非肌性浸润性膀胱癌(NMIBC)。NMIBC及其治疗影响患者的功能和生活质量。然而,对于许多癌症患者群体来说,锻炼是可行的、安全的、有益的,没有研究对NMIBC进行过锻炼。我们的目的是研究高强度间歇训练(HIIT)在NMIBC患者膀胱治疗期间或之后的可行性、安全性和初步疗效。方法:膀胱内治疗期间或之后的膀胱癌和运动训练(BRAVE)试验随机选择25例膀胱内治疗后计划或接受监测的NMIBC患者进行常规护理(n = 12)或HIIT (n = 13)。HIIT组每周进行三次,监督HIIT 12周。结果:39个月,筛查293例患者,符合条件177例(60.4%),随机25例(14.1%)。运动出勤率中位数为100%。从基线到12周,HIIT组的VO2peak增加了1.2 mL/kg/min,而常规护理组的VO2peak减少了0.7 mL/kg/min(调整后组间差异为2.0 mL/kg/min; 95% CI: -0.4 ~ 4.4; P = 0.10; d = 0.37)。与常规护理组相比,HIIT组在12周时显著改善了6分钟步行距离(调整后的组间差异为41米;95% CI: 6-77; P = 0.025; d = 0.32)和8英尺起跑时间(调整后的组间差异为-1.0秒;95% CI: -1.9至-0.2;P = 0.019; d = -0.44)。结论:尽管有适度的累积,但BRAVE试验表明,HIIT在膀胱内治疗期间或之后对大多数NMIBC患者是安全可行的,并导致身体功能的几个指标有意义的改善。对护理实践的启示:肿瘤学护士可以告知NMIBC患者,高强度间歇训练可能是安全、可行的,并且在膀胱内治疗期间或之后改善身体功能可能有效。
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引用次数: 0
Development of Digital Literacy: Application of Artificial Intelligence in Education and Clinical Practice of Oncology Nurses 数字素养的发展:人工智能在肿瘤护士教育和临床实践中的应用。
IF 2.3 4区 医学 Q1 NURSING Pub Date : 2025-12-18 DOI: 10.1016/j.soncn.2025.152062
Nevena Šimunić , Nikolina Višnjić Junaković , Marko Skelin

Objectives

To synthesize current educational approaches to AI literacy in oncology nursing, identify key competency domains along with barriers and enablers, and offer clinically oriented recommendations for the safe and effective integration of AI into clinical practice.

Methods

Structured search of MEDLINE via PubMed (2015-2025) using MeSH and free-text terms, complemented with free sources (Google Scholar, OpenAlex/Lens), handsearching of key journals, and backward/forward citation chasing. Study selection was performed by two independent reviewers, with disagreements resolved by consultation with a third author; the process is summarized in a PRISMA 2020 flow diagram.

Results

Findings confirm that digital and AI literacy are fundamental for oncology nurses. Effective use of AI requires a grasp of basic ML principles, data interpretation, and ethics. Educational strategies include integration into formal curricula and innovative formats such as microlearning, simulations, and virtual reality. Key barriers are uneven digital skills, resistance to technology, and lack of structured programs. Successful education is further supported by multidisciplinary collaboration and patient involvement. Evidence suggests that AI enhances clinical decision-making, personalized care, safety, and nurse autonomy.

Conclusions

Incorporating AI competencies into nursing education is crucial for improving safety and quality in oncology care. Educational reforms should foster critical thinking, ensure ongoing evaluation, and preserve empathy towards patients. Verified and flexible programs enable sustainable literacy development aligned with technological and ethical standards.

Implications for Nursing Practice

Nurses educated in AI can improve clinical decision-making, reduce errors, and provide empathetic, individualized care. AI should be regarded solely as a tool that supports nurses’ work, not as a replacement. Interdisciplinary and patient-centered approaches support the safe integration of AI into daily oncology nursing practice. This review uniquely focuses on oncology nursing, integrates peer-reviewed and professional/grey sources, and offers practical curriculum and clinical integration recommendations that complement recent reviews.
目的:综合目前肿瘤护理中人工智能素养的教育方法,确定关键能力领域以及障碍和推动因素,并为安全有效地将人工智能整合到临床实践中提供临床导向的建议。方法:通过PubMed(2015-2025)使用MeSH和free-text术语对MEDLINE进行结构化检索,并辅以免费来源(谷歌Scholar、OpenAlex/Lens),手工检索关键期刊,进行逆向/正向引文追踪。研究选择由两名独立的审稿人进行,分歧通过与第三作者协商解决;该过程在PRISMA 2020流程图中进行了总结。结果:研究结果证实,数字和人工智能素养是肿瘤科护士的基础。有效地使用人工智能需要掌握基本的机器学习原理、数据解释和道德规范。教育策略包括融入正式课程和创新形式,如微学习、模拟和虚拟现实。主要障碍是数字技能参差不齐、对技术的抵制以及缺乏结构化的项目。多学科合作和患者参与进一步支持成功的教育。有证据表明,人工智能可以增强临床决策、个性化护理、安全性和护士自主权。结论:将人工智能能力纳入护理教育对提高肿瘤护理的安全性和质量至关重要。教育改革应培养批判性思维,确保持续的评估,并保持对患者的同情。经过验证的灵活方案可使扫盲发展符合技术和道德标准。对护理实践的影响:接受人工智能教育的护士可以改善临床决策,减少错误,并提供同理心和个性化的护理。人工智能应该仅仅被视为支持护士工作的工具,而不是替代品。跨学科和以患者为中心的方法支持将人工智能安全整合到日常肿瘤护理实践中。本综述独特地关注肿瘤护理,整合了同行评审和专业/灰色资源,并提供了实用的课程和临床整合建议,以补充最近的综述。
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引用次数: 0
Artificial Intelligence in Pediatric Oncology Care: Pediatric Nurses’ Perspectives and Future Implications 人工智能在儿科肿瘤护理中的应用:儿科护士的观点和未来意义。
IF 2.3 4区 医学 Q1 NURSING Pub Date : 2025-12-15 DOI: 10.1016/j.soncn.2025.152082
Sevil Çınar Özbay , Dilek Gelin , Selma Durmuş Sarıkahya

Objectives

This study aimed to explore pediatric oncology nurses’ perspectives on the integration of artificial intelligence (AI) into pediatric oncology care, focusing on its potential advantages, implementation challenges, and ethical considerations.

Methods

A hermeneutically informed descriptive phenomenological qualitative design was employed. One-to-one, semistructured interviews were conducted with 18 pediatric oncology nurses between April and June 2025. All interviews were audio-recorded, transcribed verbatim, and analyzed thematically in MAXQDA using Braun and Clarke’s six-phase framework (2006). Reporting followed the COREQ checklist.

Results

Participants’ mean age was 36.8 ± 6.9 years, and most had >10 years of professional experience. Thematic analysis identified five main themes with related subthemes: (1) the potential of AI in pediatric oncology care; (2) implementation challenges and concerns; (3) nurse–AI collaboration; (4) ethical considerations; and (5) competence and training needs. Nurses highlighted AI’s potential to accelerate diagnostic/treatment processes, reduce error, and enhance patient safety, while also noting barriers related to infrastructure, ethics, and professional skills.

Conclusions

Pediatric oncology nurses perceived AI as a valuable tool to support clinical decision-making, improve patient safety, and increase care efficiency; however, ethical concerns, infrastructural limitations, and insufficient training constrain effective integration.

Implications for Nursing Practice

Strengthening technological competencies, ensuring ethical safeguards, and providing continuous training are essential for successful AI integration. Combining clinical expertise with AI competence may promote safer, more effective pediatric oncology care.
目的:本研究旨在探讨儿科肿瘤护士对人工智能(AI)融入儿科肿瘤护理的看法,重点关注其潜在优势、实施挑战和伦理考虑。方法:采用解释学信息描述现象学定性设计。本研究于2025年4月至6月对18名儿科肿瘤科护士进行了一对一的半结构化访谈。所有访谈都被录音,逐字转录,并在MAXQDA中使用Braun和Clarke的六阶段框架(2006)进行主题分析。报告遵循COREQ检查表。结果:参与者的平均年龄为36.8±6.9岁,大多数具有10年以上的工作经验。主题分析确定了五个主要主题和相关的副主题:(1)人工智能在儿科肿瘤护理中的潜力;(2)实施的挑战和关注;(3)护士与人工智能协作;(4)伦理考虑;(5)能力和培训需求。护士们强调了人工智能在加速诊断/治疗过程、减少错误和提高患者安全方面的潜力,同时也指出了与基础设施、道德和专业技能相关的障碍。结论:儿科肿瘤学护士认为人工智能是支持临床决策、改善患者安全和提高护理效率的宝贵工具;然而,伦理问题、基础设施限制和培训不足限制了有效的整合。对护理实践的影响:加强技术能力、确保道德保障和提供持续培训是成功整合人工智能的关键。将临床专业知识与人工智能能力相结合,可以促进更安全、更有效的儿科肿瘤护理。
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Seminars in Oncology Nursing
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