Seminars in Oncology Nursing最新文献_第9页

The Use of Biomarkers in Precision Health Symptom Science—Opportunities and Challenges 生物标志物在精准健康症状科学中的应用——机遇与挑战。

IF 2.3 4区医学 Q1 NURSING

Seminars in Oncology Nursing

Pub Date : 2025-08-01 DOI: 10.1016/j.soncn.2025.151886

Carolyn S. Harris , Yvette P. Conley , Jinbing Bai , Marilyn J. Hammer

Objectives

Precision health symptom science applies person-centered approaches to elucidate interindividual differences in patients’ symptom experiences and incorporates omics methods with social, societal, and environmental determinants of health to develop symptom management strategies. By filling scientific gaps related to patients’ symptom experiences and their underlying mechanisms, interventions can be developed to improve quality of life and outcomes. The purposes of this article are to describe symptom phenotype development; review analytical approaches to identify a symptom phenotype; and discuss common and emerging methods for biomarker discovery and their implications in precision health symptom science.

Methods

Peer-reviewed research studies, review articles, and scientific expertise were synthesized to provide a broad overview of several methods of biomarker discovery and their implications for precision health symptom science.

Results

Approaches to symptom phenotype development and analytical methods for phenotype identification were reviewed. Common (ie, genomic, epigenomic, transcriptomic, proteomic, metabolomic, microbiome) and emerging (ie, polygenic risk scores, microRNA, epigenetic clocks, allostatic load, wearables) methods for biomarker discovery were described. Each method provides unique information to improve our understanding of the complex biological processes that underlie symptoms and may be used for risk prediction, screening, surveillance, and treatment response.

Conclusions

While the exemplar approaches to conducting precision health symptom science were shared through an oncology lens, they are generalizable across acute and chronic conditions.

Implications for Nursing Practice

Symptom biomarker identification is inherently complex and the methods for biomarker collection, processing, measurement, and analysis are continually evolving. Therefore, symptom scientists need to form transdisciplinary teams with experts in omics methodologies and bioinformatics. Despite the challenges, symptom scientists are well suited to lead the way in precision health symptom science to reduce symptom burden and improve quality of life among patients with various chronic conditions.

目的：精确健康症状科学应用以人为中心的方法来阐明患者症状经历的个体间差异，并将组学方法与健康的社会、社会和环境决定因素结合起来，制定症状管理策略。通过填补与患者症状经历及其潜在机制相关的科学空白，可以开发干预措施以改善生活质量和结果。本文的目的是描述症状表型的发展；回顾分析方法，以确定症状表型；并讨论生物标志物发现的常见和新兴方法及其在精确健康症状科学中的意义。方法：对同行评议的研究、综述文章和科学专业知识进行综合，以提供几种生物标志物发现方法及其对精确健康症状科学的影响的广泛概述。结果：综述了症状表型发生的途径和表型鉴定的分析方法。描述了常用的（基因组学、表观基因组学、转录组学、蛋白质组学、代谢组学、微生物组学）和新兴的（多基因风险评分、microRNA、表观遗传时钟、适应负荷、可穿戴设备）生物标志物发现方法。每种方法都提供了独特的信息，以提高我们对症状基础的复杂生物学过程的理解，并可用于风险预测、筛查、监测和治疗反应。结论：虽然通过肿瘤学的视角分享了进行精确健康症状科学的范例方法，但它们可以在急性和慢性疾病中推广。对护理实践的启示：症状生物标志物识别本身就很复杂，生物标志物的收集、处理、测量和分析方法也在不断发展。因此，症状科学家需要与组学方法和生物信息学专家组成跨学科团队。尽管面临挑战，但症状科学家非常适合引领精准健康症状科学，以减轻各种慢性疾病患者的症状负担，提高生活质量。

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引用次数: 0

Breast and Gynecological Cancer Benefit Finding Scale: Turkish Validity and Reliability Study 乳腺癌和妇科癌症获益发现量表：土耳其效度和信度研究。

IF 2.3 4区医学 Q1 NURSING

Seminars in Oncology Nursing

Pub Date : 2025-08-01 DOI: 10.1016/j.soncn.2025.151949

Sıdıka Pelit Aksu , Serap Alkaş , Şengül Yaman Sözbir

Objectives

This study aimed to determine the validity and reliability of the “Benefit Finding Scale” (BFS) in Turkish breast and gynecologic cancer patients.

Methods

In the methodological research, 322 women were included. Data was collected using the “Descriptive Information Form” and the “BFS.” The language, content, construct, criterion, and convergent validity of the “BFS” were examined. Content validity was assessed using the scale and the item content validity index. Construct validity was determined by Exploratory factor analysis and Confirmatory factor analysis. The reliability of the scale was evaluated using internal consistency analysis, Cronbach’s α, and the test-retest method.

Results

Exploratory and confirmatory factor analyses established that the scale consisted of 15 items with three factors, explaining 72.5% of the total variance. Confirmatory Factor Analysis Fit Indices Goodness of Fit Index: 0.96, AGFI: 0.95, NFI: 0.95, PGFI: 0.70, RMR: 0.08. The Cronbach’s α for the total scale is 0.92. Within the scope of the test-retest analysis, an interclass correlation coefficient = 0.961 was determined. The scale evaluation is based on the mean scores of the subdimensions and total scores; as the score obtained from the scale increases, the benefit finding for cancer increases.

Conclusions

The findings from this study conducted on a sample of breast and gynecologic cancer showed that the “BFS” is both valid and reliable for the Turkish population.

Implications for Nursing Practice

Assessing benefit findings in women with breast and gynecologic cancer may enable nurses to provide care and psychosocial support tailored to patient’s needs, which can enhance their well-being and improve treatment adherence.

目的：本研究旨在确定“获益发现量表”（BFS）在土耳其乳腺癌和妇科癌症患者中的效度和信度。方法：在方法学研究中，纳入322名妇女。使用“描述性信息表”和“BFS”收集数据。考察了“BFS”的语言、内容、结构、标准和收敛效度。采用量表和项目内容效度指数评估内容效度。构念效度采用探索性因子分析和验证性因子分析。量表的信度采用内部一致性分析、Cronbach’s α和重测法进行评估。结果：探索性和验证性因子分析确定量表由15个条目组成，包含3个因子，解释总方差的72.5%。验证性因子分析拟合指标拟合优度指数：0.96,AGFI: 0.95, NFI: 0.95, PGFI: 0.70, RMR: 0.08。总量表的Cronbach's α为0.92。在检验-重检验分析的范围内，确定了类间相关系数 = 0.961。量表评估基于子维度的平均得分和总分；随着从量表中获得的分数增加，对癌症的益处也会增加。结论：本研究对乳腺癌和妇科癌症样本进行的研究结果表明，“BFS”对土耳其人口是有效和可靠的。对护理实践的启示：评估乳腺癌和妇科癌症患者的获益结果可能使护士能够根据患者的需求提供护理和心理社会支持，从而增强患者的幸福感并提高治疗依从性。

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引用次数: 0

Using Data-driven Clinical Decision Support to Integrate Precision Cancer Symptom Management Into the Electronic Health Record 使用数据驱动的临床决策支持，将精确的癌症症状管理集成到电子健康记录中。

IF 2.3 4区医学 Q1 NURSING

Seminars in Oncology Nursing

Pub Date : 2025-08-01 DOI: 10.1016/j.soncn.2025.151937

Mary E. Cooley , Leslie A. Lenert , Janet L. Abrahm , David F. Lobach

Objectives

Electronic patient-reported outcome measures (ePROs) are being implemented in clinical care to monitor symptoms in patients with cancer. Although the use of these measures is associated with improved outcomes, challenges remain with integrating ePROs into the workflow due to burdensome training and unclear roles for who will manage uncontrolled symptoms. The use of clinical decision support (CDS) can mitigate these challenges. This article discusses the use of CDS, the integration of CDS into the electronic health record (EHR), lessons learned, and future directions.

Methods

The Sapphire Cancer Symptom Management CDS system is used to illustrate the development, integration, and testing of CDS in the EHR. A team of experts designed this system based on previous experience and research literature. The discussion synthesizes peer-reviewed literature, expert opinion, systematic reviews, and meta-analysis as sources of data.

Results

Symptom management algorithms were created for nine cancer symptoms and then programmed into the CDS platform and integrated into the EHR. Integration involved using innovative technologies, which included application programming interfaces and interoperable data standards, to integrate the system into the EHR. Relevant EHR and patient-reported data were used to generate individually tailored symptom management recommendations. Testing of the system was accomplished using test patients that reflected real-world patient experiences. We found that the data needed for the algorithms were complex and some elements were not readily available in the EHR. Having clinicians verify a few critical elements assured accuracy and safety of the recommendations.

Conclusion

Innovative technologies enabled the integration of CDS into the EHR and the generation of individually tailored cancer symptom management recommendations. Future testing is needed to evaluate whether the use of CDS improves patient outcomes.

Implications for Nursing Practice

CDS has the potential to improve guideline-concordant symptom management and facilitate supportive care referrals at the point-of-care to improve clinical care.

目的：电子患者报告结果测量（ePROs）正在临床护理中实施，以监测癌症患者的症状。尽管使用这些措施与改善的结果相关，但由于繁重的培训和谁将管理不受控制的症状的角色不明确，将epro集成到工作流程中仍然存在挑战。临床决策支持（CDS）的使用可以减轻这些挑战。本文讨论了CDS的使用、CDS与电子健康记录（EHR）的集成、经验教训和未来的发展方向。方法：采用Sapphire癌症症状管理CDS系统说明CDS在电子病历中的开发、整合和测试。一个专家团队根据以往的经验和研究文献设计了这个系统。讨论综合了同行评议文献、专家意见、系统评论和元分析作为数据来源。结果：针对9种癌症症状创建了症状管理算法，然后将其编程到CDS平台并集成到EHR中。集成涉及使用创新技术，其中包括应用程序编程接口和可互操作的数据标准，将系统集成到电子病历中。使用相关的电子病历和患者报告的数据来生成个性化的症状管理建议。该系统的测试是通过反映真实患者体验的测试患者来完成的。我们发现算法所需的数据很复杂，有些元素在电子病历中不容易获得。有临床医生验证一些关键因素，确保建议的准确性和安全性。结论：创新技术能够将CDS整合到电子病历中，并产生个性化的癌症症状管理建议。需要进一步的试验来评估使用CDS是否能改善患者的预后。对护理实践的启示：CDS有可能改善与指南一致的症状管理，并促进在护理点的支持性护理转诊，以改善临床护理。

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引用次数: 0

Pilot Testing an Adapted Version of the Registered Nursing Forecasting (RN4CAST) Nurse Survey in Systemic Anti-Cancer Therapy Day Units: A Mixed-Methods Feasibility Study 在系统性抗癌治疗日间单位对注册护士预测（RN4CAST）护士调查的试点测试：一项混合方法的可行性研究。

IF 2.3 4区医学 Q1 NURSING

Seminars in Oncology Nursing

Pub Date : 2025-08-01 DOI: 10.1016/j.soncn.2025.151940

Zhuming Bao , Jenny Harris , Anne Marie Rafferty , Verna Lavender , Amparo DOMINGO LACASA , Emma Masters , Hayley Beer , Katy Tait , Rhona Johnson , Jo Armes

Objectives

Systemic Anti-Cancer Therapy (SACT) day units are increasingly challenged by workload pressures and workforce shortages. The Registered Nursing Forecasting (RN4CAST) survey, originally developed to predict workforce needs in acute and geriatric inpatient units, was adapted to create the RN4CAST-SACT-D survey specifically for SACT day units. This study aimed to pilot test and evaluate the feasibility of the adapted RN4CAST-SACT-D survey.

Methods

A convergent mixed-methods feasibility study was conducted, incorporating an embedded qualitative component through semi-structured interviews. Five SACT day units were invited to participate, with all nurses working on the designated census day invited to complete the RN4CAST-SACT-D survey, followed by a semi-structured interview. Additionally, patients attending for chemotherapy on the census day were invited to complete the Patient-Reported Chemotherapy Indicators of Symptoms and Experience (PR-CISE) survey.

Results

A total of 43 nurses completed the RN4CAST-SACT-D survey, yielding a response rate of 69.3%. Of these, 12 nurses participated in semi-structured interviews. Additionally, 172 patients completed the PR-CISE survey, with a response rate of 50%. The study identified key challenges and provided recommendations to refine the survey methodology, informed by both survey responses and interview insights.

Conclusion

The findings suggest that the RN4CAST-SACT-D survey is a feasible tool for assessing workforce-related factors in SACT day units. While the survey methodology was generally well-received, certain aspects require further refinement and testing to enhance its applicability and effectiveness.

Implications for Nursing Practice

This study highlighted that current staffing levels in SACT day units are largely based on historical data, rather than on present-day needs. This underscores the urgent need for research specifically focused on SACT day unit settings.

目的：全身抗癌治疗（SACT）日班日益受到工作量压力和劳动力短缺的挑战。注册护士预测（RN4CAST）调查最初是为了预测急性病和老年住院病房的劳动力需求而开发的，后来被改编为专门针对SACT日间病房的RN4CAST- ssat - d调查。本研究旨在对改编RN4CAST-SACT-D调查的可行性进行初步测试和评估。方法：采用融合混合方法进行可行性研究，通过半结构化访谈纳入嵌入式定性成分。五个SACT日间单位被邀请参与，所有在指定人口普查日工作的护士被邀请完成RN4CAST-SACT-D调查，然后进行半结构化访谈。此外，还邀请普查当日参加化疗的患者完成患者报告的化疗症状和经历指标（PR-CISE）调查。结果：共有43名护士完成了RN4CAST-SACT-D问卷调查，回复率为69.3%。其中12名护士参加了半结构化访谈。此外，172名患者完成了PR-CISE调查，有效率为50%。该研究确定了主要挑战，并根据调查结果和访谈见解提出了改进调查方法的建议。结论：研究结果表明，RN4CAST-SACT-D调查是评估SACT日间单位劳动力相关因素的可行工具。虽然调查方法普遍受到欢迎，但某些方面需要进一步改进和测试，以提高其适用性和有效性。对护理实践的影响：本研究强调，目前SACT日间单位的人员配备水平主要基于历史数据，而不是当前的需求。这强调了迫切需要对SACT日单位设置进行专门研究。

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引用次数: 0

History Has Its Eyes on Us 历史在注视着我们。

IF 2.3 4区医学 Q1 NURSING

Seminars in Oncology Nursing

Pub Date : 2025-08-01 DOI: 10.1016/j.soncn.2025.151945

Christine Miaskowski

引用次数: 0

Measurement of Patient-Reported Outcomes: The How, When, and Where 患者报告结果的测量：如何、何时、何地。

IF 2.3 4区医学 Q1 NURSING

Seminars in Oncology Nursing

Pub Date : 2025-08-01 DOI: 10.1016/j.soncn.2025.151941

Jo Armes

Objectives

There is growing evidence that integrating patient-reported outcomes (PRO) into clinical assessments is associated with improved symptom management, patient satisfaction, and survival rates. This report aims to critically examine factors that influence how, when, and where PRO should be assessed in the cancer pathway.

Methods

This discussion is grounded in clinical research expertise and supported by relevant literature from peer-reviewed journals.

Results

Multiple digital methods for conducting PRO assessments are being used. Evidence increasingly suggests that adopting a hybrid approach is more likely to ensure that diverse populations complete PRO assessments. This will ensure the data generated are more representative of the wider cancer population. Most research focuses on assessing PRO during treatment while less focuses on the postsurgical and survivorship phases in the cancer pathway. During treatment, more frequent PRO assessment is more informative and better able to guide clinical decision-making. This, however, needs to be balanced against respondent burden. Matching the method for capturing PRO assessment to the preferences and requirements of respondents may be more important than the location in which it occurs.

Conclusion

Regular assessment of PRO improves patient outcomes during treatment and, based on the limited evidence available, following surgery and during the survivorship phase of the cancer pathway.

Implications for Nursing Practice

More research is needed to identify the optimal timing of PRO assessments during treatment to maximize information while minimizing respondent burden. Finally, we need to better understand which methods for capturing PRO assessments best meet the diverse personal requirements and preferences of the wider cancer population.

目的：越来越多的证据表明，将患者报告的预后（PRO）纳入临床评估与改善症状管理、患者满意度和生存率相关。本报告旨在批判性地研究影响如何、何时、何地在癌症途径中评估PRO的因素。方法：本讨论以临床研究专业知识为基础，并以同行评议期刊的相关文献为支持。结果：正在使用多种数字方法进行PRO评估。越来越多的证据表明，采用混合方法更有可能确保不同人群完成PRO评估。这将确保生成的数据更能代表更广泛的癌症人群。大多数研究侧重于评估治疗期间的PRO，而较少关注癌症途径的术后和生存阶段。在治疗过程中，更频繁的PRO评估信息更丰富，能够更好地指导临床决策。然而，这需要与答辩人的负担相平衡。将获取PRO评估的方法与受访者的偏好和要求相匹配，可能比评估发生的地点更重要。结论：定期评估PRO可改善患者治疗期间的预后，基于有限的证据，可改善手术后和癌症途径生存期的预后。对护理实践的启示：需要更多的研究来确定治疗期间PRO评估的最佳时机，以最大化信息，同时最大限度地减少被调查者的负担。最后，我们需要更好地了解哪种获取PRO评估的方法最能满足不同的个人需求和更广泛的癌症人群的偏好。

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引用次数: 0

Integrating Remote Symptom Monitoring, Person-Centered Analytics, and Artificial Intelligence to Advance Precision Health Symptom Science in Oncology 整合远程症状监测、以人为中心的分析和人工智能，推进肿瘤精准健康症状科学。

IF 2.3 4区医学 Q1 NURSING

Seminars in Oncology Nursing

Pub Date : 2025-08-01 DOI: 10.1016/j.soncn.2025.151901

Rachel A. Pozzar

Objectives

To summarize the relevance of remote symptom monitoring, person-centered statistical analyses, and artificial intelligence to precision health symptom science in oncology; and propose ways in which these three approaches can be integrated to further advance the field.

Methods

The following commentary was adapted from a talk delivered at the Symptom Science Experts Meeting in October 2023 at the University of Lausanne, Switzerland. The commentary and talk were informed by an informal review of recent literature in precision health oncology symptom science.

Results

Several remote symptom monitoring interventions have demonstrated potential to reduce disease- and treatment-related symptom burden and improve health outcomes in patients with cancer. Data collected passively by wearable and sensor technologies are also being used to characterize patients’ health status. Person-centered statistical analyses have identified interindividual variability in the symptom experiences of patients with cancer. Together with artificial intelligence-based approaches, these analyses have identified factors associated with relatively adverse symptom experiences. Future directions for the field include integrating these approaches to optimize clinical resource allocation, tailor symptom management in real-time, and advance scientific knowledge of the symptom experience.

Conclusions

Integrating remote symptom monitoring, person-centered statistical analyses and artificial intelligence may provide deeper insights into how patients with cancer experience symptoms.

Implications for Nursing Practice

Findings from research that uses remote symptom monitoring, person-centered statistical analyses, and artificial intelligence may enhance clinicians’ ability to deliver personalized symptom management interventions.

目的：总结远程症状监测、以人为本的统计分析和人工智能在肿瘤精准健康症状科学中的应用价值；并提出如何将这三种方法结合起来以进一步推动该领域的发展。方法：以下评论改编自2023年10月在瑞士洛桑大学举行的症状科学专家会议上的一篇演讲。评论和谈话是通过对精确健康肿瘤症状科学最近文献的非正式审查得知的。结果：一些远程症状监测干预措施已经证明有可能减少疾病和治疗相关的症状负担，并改善癌症患者的健康结果。通过可穿戴和传感器技术被动收集的数据也被用于表征患者的健康状况。以人为中心的统计分析已经确定了癌症患者症状经历的个体差异。结合基于人工智能的方法，这些分析已经确定了与相对不良症状经历相关的因素。该领域未来的发展方向包括整合这些方法来优化临床资源分配，实时定制症状管理，并推进症状体验的科学知识。结论：将远程症状监测、以人为中心的统计分析和人工智能相结合，可以更深入地了解癌症患者如何经历症状。对护理实践的启示：使用远程症状监测、以人为中心的统计分析和人工智能的研究结果可以提高临床医生提供个性化症状管理干预措施的能力。

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引用次数: 0

Processing Speed in Patients with Cancer: A Concept Analysis 癌症患者的处理速度：一个概念分析。

IF 2.3 4区医学 Q1 NURSING

Seminars in Oncology Nursing

Pub Date : 2025-08-01 DOI: 10.1016/j.soncn.2025.151946

Myeong-ga Cho, Catherine M. Bender

Objectives

Processing speed is a cognitive domain and a crucial predictor of cognitive aging. It frequently deteriorates in patients with cancer, co-occurring with declines of other domains, including attention, executive function, and memory, and negatively impacts health outcomes. However, lack of clarity of the concept limits the development of precise assessments and effective nursing interventions to improve processing speed. Therefore, this concept analysis aims to thoroughly analyze and clarify processing speed with nuanced defining attributes, antecedents, and consequences in the cancer context.

Methods

Walker and Avant’s method was used. Records were identified from PubMed, CINAHL, and APAPsycINFO.

Results

Defining attributes of processing speed include the proficiency and speed to recognize given sensory stimuli, to make decisions based on the recognition, and to implement the decision with movement. Antecedents of processing speed include aging, brain connectivity, fine motor function, and health conditions, with cancer and cancer treatment. Consequences of processing speed include cognitive capability.

Conclusions

With the clarified concept of processing speed, assessment tools and nursing interventions can be refined to ensure comprehensively capturing its full scope and facilitating communication in the care of patients with cancer.

Implications for Nursing Practice

This analysis confirms processing speed is a critical domain of cognitive function in cancer care, requiring tailored assessment and intervention strategies. The findings highlight the need to update clinical nursing practices with refined tools to evaluate processing speed, enabling oncology nurses to implement targeted interventions that address cancer-related cognitive decline and enhance health outcomes of patients with cancer.

目的：加工速度是一个认知领域，是认知老化的重要预测指标。它经常在癌症患者中恶化，与其他领域的衰退共同发生，包括注意力、执行功能和记忆力，并对健康结果产生负面影响。然而，缺乏清晰的概念限制了精确评估和有效护理干预的发展，以提高处理速度。因此，本概念分析旨在通过对癌症背景下的属性、前因和后果的细致定义，彻底分析和阐明处理速度。方法：采用Walker和Avant法。从PubMed、CINAHL和APAPsycINFO中识别记录。结果：加工速度的定义属性包括识别给定感官刺激的熟练程度和速度，基于识别做出决策的能力和速度，以及用动作执行决策的能力和速度。处理速度的前因包括衰老、大脑连接、精细运动功能、健康状况、癌症和癌症治疗。处理速度的结果包括认知能力。结论：明确了处理速度的概念，可以完善评估工具和护理干预措施，以确保在癌症患者的护理中全面捕捉其全面性，方便沟通。对护理实践的启示：该分析证实了处理速度是癌症护理中认知功能的关键领域，需要量身定制的评估和干预策略。研究结果强调需要更新临床护理实践，使用改进的工具来评估处理速度，使肿瘤科护士能够实施有针对性的干预措施，解决与癌症相关的认知能力下降问题，并提高癌症患者的健康结果。

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引用次数: 0

Considerations in Selecting, Collecting, and Interpreting Outcome Measures for Symptom Science in Oncology 肿瘤症状科学的选择、收集和解释结果测量的考虑。

IF 2.3 4区医学 Q1 NURSING

Seminars in Oncology Nursing

Pub Date : 2025-08-01 DOI: 10.1016/j.soncn.2025.151948

Sandra A. Mitchell

Objectives

To review recent literature about the considerations, challenges and tradeoffs when selecting and interpreting symptom measures in patients diagnosed with cancer.

Method

A narrative review of peer-reviewed literature, relevant theory, and international consensus guidance relevant to the measurement of symptoms using patient-reported outcomes, performance-based, instrumented, and clinician-reported measures.

Results/Conclusions

Theoretical, psychometric, operational and study design considerations influence symptom instrument selection decisions in observational studies, clinical trials (both supportive care trials and therapeutic trials of anticancer therapies), and population surveillance. Multiple well-validated single symptom and multisymptom measures exist to measure cancer and cancer-treatment related symptoms.

Implications for Nursing Practice

Exploration of how contrasting measurement approaches can yield complementary insights into the symptom experience and the effectiveness of symptom management strategies remains an underdeveloped area of cancer symptom science.

目的：回顾最近的文献关于选择和解释癌症患者的症状测量时的考虑、挑战和权衡。方法：对同行评议的文献、相关理论和国际共识指南进行叙述性回顾，这些指南使用患者报告的结果、基于表现的、仪器的和临床报告的测量方法来测量症状。结果/结论：理论、心理测量、操作和研究设计因素影响观察性研究、临床试验（支持治疗试验和抗癌治疗的治疗试验）和人群监测中症状工具的选择决策。存在多种有效的单症状和多症状测量方法来测量癌症和癌症治疗相关症状。对护理实践的影响：探索对比测量方法如何对症状体验和症状管理策略的有效性产生互补的见解，仍然是癌症症状科学的一个不发达领域。

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引用次数: 0

The Use of Virtual Reality as an Innovative Intervention for Managing Anxiety in Chemotherapy Patients: A Systematic Literature Review 使用虚拟现实作为管理化疗患者焦虑的创新干预：系统的文献综述。

IF 2.3 4区医学 Q1 NURSING

Seminars in Oncology Nursing

Pub Date : 2025-08-01 DOI: 10.1016/j.soncn.2025.151908

Giorgia Gaudino , Ettore Palma , Sergio Ferrante , Diego Lopane , Chiara Coldani , Daniela Cattani , Alessandra Dacomi , Giuseppina Tomaiuolo , Stefano Mancin , Beatrice Mazzoleni

Objectives

To evaluate the effectiveness of immersive virtual reality (VR) as an innovative non-pharmacological intervention to reduce anxiety and alleviate emotional distress in cancer patients undergoing chemotherapy.

Methods

A systematic literature review was conducted between March and May 2024 across PubMed, CINAHL, Embase, Scopus, and MedRxiv databases, following PRISMA guidelines. The review included studies on immersive and non-immersive VR interventions in chemotherapy settings. Methodological quality was assessed using the Joanna Briggs Institute tools, and the certainty of evidence was evaluated through the Oxford Centre for Evidence-Based Medicine framework.

Results

Seven studies involving a total of 594 participants were included. Across all studies, VR interventions significantly reduced anxiety levels during chemotherapy (P < .05). Immersive VR consistently functioned as a distraction tool, offering relaxation and emotional relief.

Conclusions

Immersive virtual reality appears to be an effective and safe complementary intervention to reduce anxiety in oncology patients undergoing chemotherapy. Despite promising findings, further high-quality research is needed to confirm these results and assess long-term effects.

Implications for Nursing Practice

VR can be integrated into clinical nursing practice as an innovative, non-invasive strategy to enhance the emotional well-being of patients receiving chemotherapy. Nurses should receive appropriate training to administer VR interventions and contribute to multidisciplinary efforts in supportive cancer care.

目的：评价沉浸式虚拟现实（VR）作为一种创新的非药物干预手段在癌症化疗患者中减少焦虑和缓解情绪困扰的有效性。方法：根据PRISMA指南，于2024年3月至5月对PubMed、CINAHL、Embase、Scopus和MedRxiv数据库进行系统文献综述。该综述包括对化疗环境中沉浸式和非沉浸式VR干预的研究。使用Joanna Briggs研究所工具评估方法学质量，并通过牛津循证医学中心框架评估证据的确定性。结果：纳入7项研究，共594名受试者。在所有研究中，VR干预显著降低了化疗期间的焦虑水平（P < 0.05）。沉浸式虚拟现实一直是一种分散注意力的工具，提供放松和情绪缓解。结论：沉浸式虚拟现实似乎是一种有效且安全的辅助干预，可以减少肿瘤化疗患者的焦虑。尽管这些发现很有希望，但需要进一步的高质量研究来证实这些结果并评估长期影响。对护理实践的影响：虚拟现实可以作为一种创新的、非侵入性的策略融入临床护理实践，以增强化疗患者的情绪健康。护士应接受适当的培训，以管理虚拟现实干预措施，并为支持癌症治疗的多学科努力做出贡献。

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引用次数: 0