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Adherence to Posttreatment Surveillance Guidelines in Non-Small Cell Lung Cancer: Retrospective Cohort Study. 非小细胞肺癌治疗后监测指南的依从性:回顾性队列研究。
IF 2.7 Q2 ONCOLOGY Pub Date : 2025-10-01 DOI: 10.2196/76515
Ryan J Randle, Scott V Adams, Zahra Esfahanimonfared, Nicole Lin, Julie Wu, Ann Leung, Steven M Asch, Steven Zeliadt, Alex Sox-Harris, Summer Han, Leah M Backhus

Background: Several guidelines recommend posttreatment surveillance for non-small cell lung cancer (NSCLC). However, studies evaluating surveillance patterns often cannot distinguish between imaging ordered for surveillance versus for symptoms suggestive of recurrence. Moreover, early recurrences and other competing events hamper efforts to determine true surveillance rates because of wide variability in reported guideline adherence in clinical practice. Leveraging comprehensive Veterans Health Administration data, we developed a novel competing risks framework to describe the patterns and predictors of NSCLC imaging surveillance.

Objective: This study aims to examine posttreatment surveillance to estimate the true surveillance rates and predictors of guideline-concordant care in patients with early-stage NSCLC.

Methods: The study cohort comprised veterans who were treated for stage 1 to 3 NSCLC between 2008 and 2016 and who survived for ≥6 months. Clinical documents and radiology reports were abstracted for image indication and clinical information. We estimated the cumulative probability of receiving guideline-concordant surveillance, defined as chest computed tomography imaging within 4 to 9 months after treatment, accounting for competing risks and censoring. Multivariable cause-specific Cox regression was used to estimate associations between patient factors and guideline-concordant surveillance, with adjustments made for multiple comparisons.

Results: The cohort consisted of 1888 patients. The mean age of the analysis cohort was 66.4 (SD 7.9) years; 95.9% (1811/1888) of the patients were male, 71.1% (1342/1888) of the patients were White, and 43.1% (814/1888) were married. Of the 1888 patients, 57% (n=1076) presented with stage 1 disease, and the most common treatment modality was surgery alone (n=1068, 56.6%). The most common type of imaging performed during the initial 120- to 270-day window was chest computed tomography (1460/3278, 44.5%). Chest X-rays accounted for 36.3% (1190/3278) of all imaging performed, while the remaining 11.8% (386/3278) and 7.4% (242/3278) were positron emission tomography scans or other imaging modalities, respectively. Compared to the years 2008 to 2010, patients treated for NSCLC from 2014 to 2016 had a significantly higher likelihood of receiving guideline-concordant surveillance (hazard ratio 1.42, P<.001).

Conclusions: In this unique application of a competing risks framework, the rate of guideline-concordant surveillance in this national cohort was lower than that reported in many previous studies. This finding highlights a potentially substantial gap in surveillance among eligible, asymptomatic lung cancer survivors. More strategies are needed to measure the true rate of guideline-concordant surveillance, along with education and advocacy to ensure guideline-concordant care.

背景:一些指南建议对非小细胞肺癌(NSCLC)进行治疗后监测。然而,评估监测模式的研究往往不能区分为监测而安排的影像学与提示复发的症状。此外,早期复发和其他竞争事件阻碍了确定真正监测率的努力,因为在临床实践中报告的指南依从性存在很大差异。利用退伍军人健康管理局的综合数据,我们开发了一个新的竞争风险框架来描述非小细胞肺癌成像监测的模式和预测因素。目的:本研究旨在检查治疗后监测,以估计早期NSCLC患者指南一致性护理的真实监测率和预测因素。方法:研究队列包括2008年至2016年期间接受1至3期NSCLC治疗且存活≥6个月的退伍军人。对临床文献和影像学报告进行摘要,以获取影像指征和临床信息。我们估计了在治疗后4至9个月内接受符合指南的监测的累积概率,定义为胸部计算机断层扫描成像,考虑了竞争风险和审查。多变量病因特异性Cox回归用于估计患者因素与指南一致性监测之间的关联,并对多重比较进行调整。结果:该队列包括1888例患者。分析队列的平均年龄为66.4岁(SD 7.9);男性占95.9%(1811/1888),白人占71.1%(1342/1888),已婚占43.1%(814/1888)。在1888例患者中,57% (n=1076)表现为1期疾病,最常见的治疗方式是单纯手术(n=1068, 56.6%)。在最初的120- 270天窗口期,最常见的影像学检查是胸部计算机断层扫描(1460/3278,44.5%)。胸部x线占所有影像学检查的36.3%(1190/3278),其余11.8%(386/3278)和7.4%(242/3278)分别为正电子发射断层扫描或其他影像学检查。与2008年至2010年相比,2014年至2016年接受非小细胞肺癌治疗的患者接受指南一致性监测的可能性显著增加(风险比1.42)。结论:在这种独特的竞争风险框架应用中,该国家队列的指南一致性监测率低于许多先前研究的报道。这一发现突出了在符合条件的无症状肺癌幸存者中监测的潜在巨大差距。需要更多的战略来衡量符合指南的监测的真实比率,以及教育和宣传,以确保符合指南的护理。
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引用次数: 0
The Provision of Social Support in an Online Support Forum for Caregivers of People With Comorbid Dementia and Cancer: Content Analysis Study. 在一个在线支持论坛中,为痴呆和癌症患者提供社会支持:内容分析研究。
IF 2.7 Q2 ONCOLOGY Pub Date : 2025-09-29 DOI: 10.2196/72217
Mollie Louise Price, Claire Surr, Brendan Gough, David Howe, Laura Ashley

Background: A growing number of people are living with comorbid dementia and cancer (CDC), and they are particularly likely to require support from family caregivers. Carers of people with CDC play a vital supportive role but have reported unmet support needs, including a lack of CDC-specific information resources and peer support. A targeted online peer support forum may provide an accessible way to help address unmet needs of carers of people with CDC.

Objective: This study aimed to explore the types and frequency of social support provided on an online peer support forum for caregivers of people with CDC, hosted by a dementia charity in the United Kingdom.

Methods: We conducted a mixed methods study using descriptive statistics and qualitative content analysis. All posts (N=893) on the forum since its launch in November 2018 to April 2024 were exported into Microsoft Excel for analysis. Descriptive statistics were used to examine forum use and user characteristics. Deductive content analysis was conducted to explore the types and frequency of social support provided on the forum. Posts were analyzed according to an adapted version of Cutrona and Suhr's Social Support Behavior Code, consisting of 5 main categories of support: informational, emotional, esteem, network, and tangible. Coding was completed independently by 2 coders, and any coding disagreements were resolved by reaching a consensus through discussion.

Results: A total of 258 usernames posted on the forum since its inception. There were 893 posts; 583 (65.3%) were coded as providing social support. All 5 Social Support Behavior Code categories were present in the forum posts. Informational support was the most common type of social support provided on the forum, which mostly involved providing suggestions for caregiving and coping strategies and sharing personal experiences that provide CDC-specific knowledge or insight. This was followed by emotional support, which consisted mostly of expressing shared understanding and empathy for caregivers in their unique situation of CDC and providing expressions of care for the recipient's well-being. Esteem, network, and tangible support were less common, though they included providing validation and relief of blame to other caregivers, typically in decision-making regarding cancer treatment; reminding caregivers that others were available on the forum for support; and expressing willingness to answer questions about their CDC caregiving experience.

Conclusions: This study demonstrates the use and value of a CDC-specific online forum as a source of social support for carers of people with CDC, facilitating users' access to CDC-specific information and peer support. The relatively new forum shows promise as a free and accessible resource that can contribute to addressing carers' informational and peer support needs.

背景:越来越多的人同时患有痴呆和癌症(CDC),他们特别可能需要家庭照顾者的支持。疾病控制中心患者的护理人员发挥着至关重要的支持作用,但据报告,支持需求未得到满足,包括缺乏疾病控制中心特有的信息资源和同伴支持。有针对性的在线同伴支持论坛可以提供一种方便的方式来帮助解决疾病控制和预防中心患者的护理人员未满足的需求。目的:本研究旨在探讨由英国一家痴呆症慈善机构主办的在线同伴支持论坛为CDC患者护理人员提供的社会支持的类型和频率。方法:采用描述性统计和定性内容分析相结合的方法进行研究。从2018年11月开始到2024年4月为止,论坛上的所有帖子(893篇)都被导出到微软Excel中进行分析。描述性统计用于检查论坛使用和用户特征。通过演绎内容分析,探讨论坛提供社会支持的类型和频率。根据Cutrona和Suhr的社会支持行为准则的改编版本,对帖子进行了分析,包括5个主要类别的支持:信息、情感、尊重、网络和有形的支持。编码由2名编码员独立完成,任何编码上的分歧通过讨论达成一致解决。结果:自论坛成立以来,共有258个用户在论坛上发帖。共有员额893个;583个(65.3%)被编码为提供社会支持。所有5种社会支持行为准则类别都出现在论坛帖子中。信息支持是论坛上提供的最常见的社会支持类型,主要涉及提供护理和应对策略的建议,以及分享提供疾病预防控制中心特定知识或见解的个人经验。其次是情感支持,主要包括表达对照顾者在疾病预防控制中心独特情况下的共同理解和同情,并为接受者的福祉提供关怀表达。自尊、网络和有形支持不太常见,尽管它们包括向其他照顾者提供认可和减轻指责,通常是在癌症治疗的决策中;提醒护理人员,论坛上还有其他人可以提供支持;并表示愿意回答有关他们在疾病控制中心护理经历的问题。结论:本研究证明了CDC特定在线论坛作为CDC患者照护者社会支持来源的使用和价值,促进了用户获取CDC特定信息和同伴支持。相对较新的论坛有望成为一个免费和可访问的资源,有助于解决护理人员的信息和同伴支持需求。
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引用次数: 0
Exploring Barriers and Facilitators to Engagement of an Online Acceptance and Commitment Therapy Intervention for Cancer Survivors With Chronic Painful Chemotherapy-Induced Peripheral Neuropathy: Qualitative Interview Study. 探讨慢性疼痛化疗引起的周围神经病变癌症幸存者在线接受和承诺治疗干预的障碍和促进因素:定性访谈研究。
IF 2.7 Q2 ONCOLOGY Pub Date : 2025-09-26 DOI: 10.2196/64983
Daniëlle van de Graaf, Marije van der Lee, Tom Smeets, Hester Trompetter, Floortje Mols

Background: Online self-management interventions for cancer survivors are increasingly being used, but engagement is often difficult for patients. Given the importance of engagement for intervention effectiveness, identifying patient-reported barriers and facilitators is essential.

Objective: The aim of this study was to qualitatively examine barriers and facilitators influencing engagement with an online self-management intervention, offered with or without guidance, for cancer survivors experiencing chronic painful chemotherapy-induced peripheral neuropathy (CIPN).

Methods: Patients who took part in the Embrace Pain randomized controlled trial, conducted between December 2021 and July 2024, were invited to participate in this study. Eligible participants were adults with chronic painful CIPN, based on criteria including pain, completion of chemotherapy, and European Organisation for Research and Treatment of Cancer QLQ-CIPN20 Questionnaire (ie, cancer-specific measure of sensory, motor, and autonomic neuropathy). The Embrace Pain randomized controlled trial involved evaluating an online self-management acceptance and commitment therapy intervention for pain interference in daily life, with some participants receiving email guidance and others not. Thereafter, 12 patients experiencing chronic painful CIPN participated in semistructured interviews. Data were analyzed using thematic analysis. An inductive coding approach was applied, and Atlas.ti (Lumivero) was used for coding.

Results: In total, 2 themes and 17 codes emerged from the data, namely 7 codes for barriers and 10 codes for facilitators. Barriers included program schedule, burden, lack of guidance, irrelevance, mindfulness exercises, usability, and missing content. Facilitators included usability, recognition, positive self-management, program schedule, symptom management, relevance, guidance, experiential exercises, mindfulness exercises, and value-based living. Program schedule, guidance, mindfulness exercises, and usability proved to be barriers for some, while others indicated that they were facilitators for their use.

Conclusions: Participants' perceptions of the intervention varied, with engagement influenced by individual circumstances. These variations highlight the importance of personal context in shaping both uptake and effectiveness, indicating a need for tailored approaches to address diverse needs and challenges faced by participants.

背景:越来越多的癌症幸存者使用在线自我管理干预措施,但患者往往难以参与。鉴于参与对干预效果的重要性,确定患者报告的障碍和促进因素至关重要。目的:本研究的目的是定性检查影响在线自我管理干预参与的障碍和促进因素,提供或不提供指导,用于经历慢性疼痛化疗诱导的周围神经病变(CIPN)的癌症幸存者。方法:邀请参与2021年12月至2024年7月进行的Embrace Pain随机对照试验的患者参与本研究。符合条件的参与者是患有慢性疼痛性CIPN的成年人,标准包括疼痛、化疗完成情况和欧洲癌症研究与治疗组织QLQ-CIPN20问卷(即,感觉、运动和自主神经病变的癌症特异性测量)。拥抱疼痛的随机对照试验包括评估在线自我管理接受和承诺治疗干预日常生活中的疼痛干扰,一些参与者收到电子邮件指导,而另一些则没有。随后,12名慢性疼痛CIPN患者参加了半结构化访谈。数据采用专题分析进行分析。采用归纳编码方法,Atlas。ti (Lumivero)用于编码。结果:从数据中共获得2个主题和17个代码,其中障碍代码7个,促进者代码10个。障碍包括项目进度、负担、缺乏指导、不相关、正念练习、可用性和缺失内容。促进因素包括可用性、认知、积极的自我管理、计划安排、症状管理、相关性、指导、体验练习、正念练习和基于价值的生活。程序进度、指导、正念练习和可用性被证明是一些人的障碍,而另一些人则表明它们是使用它们的促进者。结论:被试对干预的感知不同,参与程度受个体环境影响。这些差异突出了个人背景在影响吸收和有效性方面的重要性,表明需要采取量身定制的方法来解决参与者面临的各种需求和挑战。
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引用次数: 0
When Limited Clinical Time With Patients Meets Unlimited Online Information. 当有限的临床时间与病人遇到无限的在线信息。
IF 2.7 Q2 ONCOLOGY Pub Date : 2025-09-26 DOI: 10.2196/79031
Ilona Fridman, Skyler B Johnson, Heather M Derry-Vick

As patients with cancer increasingly seek guidance from online sources, the patient-clinician relationship is at risk of being displaced by fragmented, often unreliable information. One of the primary drivers of this trend is the insufficient time available for in-depth, relational consultation with health care providers (HCPs). We argue that the current clinical routine, constrained by documentation and administrative demands, fails to allow adequate time for supporting the informational, emotional, and relational needs of patients navigating complex decisions. This shortfall undermines HCPs' ability to engage patients in shared decision-making and weakens the foundation of trust between patient and HCP. For some patients, this can result in selecting less-effective treatments or turning away from evidence-based care toward unproven online alternatives. While policy reforms to reduce administrative burdens and free up time for patient education and counseling are essential, they are slow to materialize, making immediate, actionable steps at the clinician level more urgent. We propose a set of practical, evidence-informed strategies that clinicians can adopt today to help meet patients' informational and emotional needs, strengthen patient-HCP relationships, and ensure that patients' health care decisions fit their preferences and are supported by scientific evidence.

随着癌症患者越来越多地从网上寻求指导,医患关系面临着被碎片化、往往不可靠的信息所取代的风险。这一趋势的主要驱动因素之一是没有足够的时间与卫生保健提供者(hcp)进行深入的关系咨询。我们认为,目前的临床常规,受到文件和管理要求的限制,没有足够的时间来支持患者在复杂决策中的信息、情感和关系需求。这种不足削弱了HCP让患者参与共同决策的能力,削弱了患者和HCP之间的信任基础。对一些患者来说,这可能会导致选择效果较差的治疗方法,或者从循证治疗转向未经证实的在线替代方案。虽然减少行政负担和腾出时间进行患者教育和咨询的政策改革是必不可少的,但它们实现的速度很慢,这使得在临床医生层面采取立即的、可操作的步骤变得更加紧迫。我们提出了一套实用的、循证的策略,临床医生今天可以采用这些策略来帮助满足患者的信息和情感需求,加强患者与hcp的关系,并确保患者的医疗保健决定符合他们的偏好,并得到科学证据的支持。
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引用次数: 0
Development of a Mobile App (iCANSleep) to Treat Insomnia in Cancer Survivors: User-Centered Design Study. 开发一款治疗癌症幸存者失眠的手机应用程序(icanssleep):以用户为中心的设计研究。
IF 2.7 Q2 ONCOLOGY Pub Date : 2025-09-23 DOI: 10.2196/74387
Sheila N Garland, Samlau Kutana, Katherine-Ann Piedalue, Rachel Lee, Joshua Rash, Gregory Cerallo

Background: Insomnia affects the quality of life and health outcomes of cancer survivors. Cognitive behavioral therapy for insomnia (CBT-I) is an effective treatment for insomnia among cancer survivors, but it is not readily accessible due to the limited number of trained providers and the difficulties in providing care across wide geographical areas. Mobile health (mHealth) technologies represent a promising solution; however, these technologies are not tailored to the unique needs of cancer survivors.

Objective: This study aimed to understand the needs and preferences of cancer survivors and test the usability of an evidence-based CBT-I smartphone app called iCANSleep that will be tailored and accessible to cancer survivors.

Methods: A user-centered design (UCD) approach was applied, and cancer survivors were actively engaged in the app's design, usability testing, and prototype refinement. In phase 1, semistructured interviews were conducted with a purposive sample of cancer survivors (n=20) to inform the design of the app and its content. In phase 2, iterative low- (n=8) and high-fidelity (n=7) usability testing was conducted with participants until no further recommendations for change were suggested.

Results: Users suggested several defining characteristics, features, and desired functionalities, including a user-friendly and evidence-based design. They saw increased accessibility and simplicity as advantages of a mobile app but expressed some concerns about data security and losing the accountability that comes with in-person treatment. User testing highlighted the preference for images of real people and diverse stories over graphics and animated videos, and offered suggestions for enhanced navigation. The first iteration of the app was developed using the information gained during the needs assessment and usability testing. Feedback was integrated into the final prototype of the iCANSleep app, which will be tested for feasibility, acceptability, and efficacy.

Conclusions: Cancer survivors desire an insomnia treatment app that is simple, user-friendly, evidence-based, convenient, and secure. The iCANSleep app represents the merging of mHealth principles and best practices with evidence-based insomnia care, allowing for an intervention with minimal access barriers related to cost, geography, and provider availability. Feasibility, acceptability, and efficacy of the intervention will be maximized by following a UCD framework involving the engagement of end users at every design stage.

背景:失眠影响癌症幸存者的生活质量和健康结果。失眠认知行为疗法(CBT-I)是一种治疗癌症幸存者失眠的有效方法,但由于训练有素的提供者数量有限,以及在广泛的地理区域提供护理的困难,它并不容易获得。移动医疗(mHealth)技术是一种很有前途的解决方案;然而,这些技术并不是针对癌症幸存者的独特需求量身定制的。目的:本研究旨在了解癌症幸存者的需求和偏好,并测试一款名为icanssleep的基于证据的CBT-I智能手机应用程序的可用性,该应用程序将为癌症幸存者量身定制和访问。方法:采用以用户为中心的设计(UCD)方法,让癌症幸存者积极参与应用程序的设计、可用性测试和原型改进。在第一阶段,对有目的的癌症幸存者样本(n=20)进行了半结构化访谈,以告知应用程序的设计及其内容。在阶段2中,参与者进行了迭代的低(n=8)和高保真(n=7)可用性测试,直到没有提出进一步的更改建议。结果:用户提出了几个定义特征、特征和期望的功能,包括用户友好和基于证据的设计。他们认为移动应用程序的优势在于易用性和简便性的提高,但也表达了对数据安全性的担忧,并担心会失去面对面治疗带来的问责制。用户测试强调了人们对真人图片和各种故事的偏好,而不是图形和动画视频,并为增强导航提供了建议。应用程序的第一次迭代是使用在需求评估和可用性测试期间获得的信息开发的。反馈被整合到icanssleep应用程序的最终原型中,将对其可行性、可接受性和有效性进行测试。结论:癌症幸存者渴望一款简单、用户友好、循证、方便和安全的失眠治疗应用。icanssleep应用程序代表了移动健康原则和最佳实践与循证失眠护理的融合,允许在成本、地理位置和提供者可用性方面的最小访问障碍方面进行干预。通过在每个设计阶段遵循包含终端用户参与的UCD框架,干预的可行性、可接受性和有效性将得到最大化。
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引用次数: 0
Quality Assessment of Radiotherapy Health Information on Short-Form Video Platforms of TikTok and Bilibili: Cross-Sectional Study. TikTok和Bilibili短视频平台放疗健康信息质量评价横断面研究
IF 2.7 Q2 ONCOLOGY Pub Date : 2025-09-23 DOI: 10.2196/73455
Feihang Guo, Guangcheng Ding, Yanzheng Zhang, Xinru Liu
<p><strong>Background: </strong>Radiotherapy (RT) is a crucial modality in cancer treatment. In recent years, the rise of short-form video platforms has transformed how the public accesses medical information. TikTok and Bilibili, as leading short-video platforms, have emerged as significant channels for disseminating health information. However, there is an urgent need to evaluate the quality and reliability of the information related to RT available on these platforms.</p><p><strong>Objective: </strong>This study aims to systematically assess the information quality and reliability of RT-related short-form videos on TikTok and Bilibili platforms using the Global Quality Score (GQS) and a modified DISCERN (mDISCERN) evaluation tool, thereby elucidating the current landscape and challenges of digital health communication.</p><p><strong>Methods: </strong>This study systematically retrieved the top 100 RT-related videos on TikTok and Bilibili as of February 25, 2025. The quality of the videos was assessed using the GQS (1-5 points) and an mDISCERN scoring system (1-5 points). Statistical analyses were conducted using the Mann-Whitney U test, as well as Spearman and Pearson correlation analyses, to ensure the reliability and validity of the results.</p><p><strong>Results: </strong>A total of 200 short-form videos related to RT were analyzed, revealing that the overall quality of videos on TikTok and Bilibili is unsatisfactory. Specifically, the median GQS for TikTok was 4 (IQR 3-4), while for Bilibili, it was 3 (IQR 3-4). The median mDISCERN scores for both platforms were 3 (IQR 2-4 and 3-4, respectively), and no significant differences were observed between the 2 platforms regarding the GQS (P=.12) and mDISCERN score (P=.10). On TikTok, 53% (53/100) of videos had a GQS of 4 or higher ("good" quality or better). On Bilibili, 45% (45/100) of videos had an mDISCERN score of 4 or higher, indicating "relatively reliable" quality. Videos produced by professionals, institutions, and nonprofessional institutions had significantly higher mDISCERN scores than those made by patients, with statistical significance (P<.001, P<.001, and P<.01, respectively). Furthermore, the correlations between the number of bookmarks and video duration, with mDISCERN scores, were 0.172 (P=.02) and 0.192 (P=.007), respectively. However, no video variables were found to predict the overall quality and reliability of the videos effectively.</p><p><strong>Conclusions: </strong>This study revealed that the overall quality of RT-related videos on TikTok and Bilibili is generally low. However, videos uploaded by professionals demonstrate higher information quality and reliability, providing valuable support for patients seeking guidance on health care management and treatment options for cancers. Therefore, improving the quality and reliability of video content, particularly that produced by patients, is crucial for ensuring that the public has access to accurate medical information.
背景:放射治疗(RT)是癌症治疗的一种重要方式。近年来,短视频平台的兴起改变了公众获取医疗信息的方式。抖音和哔哩哔哩作为领先的短视频平台,已经成为传播健康信息的重要渠道。然而,迫切需要评估这些平台上与RT相关的信息的质量和可靠性。目的:本研究旨在利用全球质量评分(GQS)和改进的DISCERN (mDISCERN)评估工具,系统评估TikTok和Bilibili平台上rt相关短视频的信息质量和可靠性,从而阐明数字健康传播的现状和挑战。方法:系统检索截至2025年2月25日,TikTok和Bilibili上排名前100位的rt相关视频。视频质量采用GQS(1-5分)和mDISCERN评分系统(1-5分)进行评估。统计分析采用Mann-Whitney U检验,Spearman和Pearson相关分析,确保结果的信度和效度。结果:对200个RT相关短视频进行分析,发现TikTok和Bilibili上的视频整体质量不理想。具体来说,TikTok的GQS中值为4 (IQR 3-4),而Bilibili的GQS中值为3 (IQR 3-4)。两种平台的mDISCERN得分中位数分别为3 (IQR为2-4和3-4),在GQS (P= 0.12)和mDISCERN得分(P= 0.10)方面,两种平台之间无显著差异。在TikTok上,53%(53/100)的视频的GQS为4或更高(“好”或更好)。在Bilibili上,45%(45/100)的视频的mDISCERN评分为4分或更高,表明质量“相对可靠”。专业、机构和非专业机构制作的视频的mDISCERN得分明显高于患者制作的视频,差异有统计学意义(p)结论:本研究揭示了TikTok和Bilibili上rt相关视频的整体质量普遍较低。然而,专业人员上传的视频显示了更高的信息质量和可靠性,为寻求医疗保健管理和癌症治疗方案指导的患者提供了宝贵的支持。因此,提高视频内容的质量和可靠性,特别是提高由患者制作的视频内容的质量和可靠性,对于确保公众获得准确的医疗信息至关重要。
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引用次数: 0
Understanding Cancer Survivorship Care Needs Using Amazon Reviews: Content Analysis, Algorithm Development, and Validation Study. 使用亚马逊评论了解癌症幸存者护理需求:内容分析、算法开发和验证研究。
IF 2.7 Q2 ONCOLOGY Pub Date : 2025-09-23 DOI: 10.2196/71102
Liwei Wang, Qiuhao Lu, Rui Li, Taylor B Harrison, Heling Jia, Ming Huang, Heidi Dowst, Rui Zhang, Hoda Badr, Jungwei W Fan, Hongfang Liu
<p><strong>Background: </strong>Complementary therapies are being increasingly used by cancer survivors. As a channel for customers to share their feelings, outcomes, and perceived knowledge about the products purchased from e-commerce platforms, Amazon consumer reviews are a valuable real-world data source for understanding cancer survivorship care needs.</p><p><strong>Objective: </strong>In this study, we aimed to highlight the potential of using Amazon consumer reviews as a novel source for identifying cancer survivorship care needs, particularly related to symptom self-management. Specifically, we present a publicly available, manually annotated corpus derived from Amazon reviews of health-related products and develop baseline natural language processing models using deep learning and large language model (LLM) to demonstrate the usability of this dataset.</p><p><strong>Methods: </strong>We preprocessed the Amazon review dataset to identify sentences with cancer mentions through a rule-based method and conducted content analysis including text feature analysis, sentiment analysis, topic modeling, cancer type, and symptom association analysis. We then designed an annotation guideline, targeting survivorship-relevant constructs. A total of 159 reviews were annotated, and baseline models were developed based on deep learning and large language model (LLM) for named entity recognition and text classification tasks.</p><p><strong>Results: </strong>A total of 4703 sentences containing positive cancer mentions were identified, drawn from 3349 reviews associated with 2589 distinct products. The identified topics through topic modeling revealed meaningful insights into cancer symptom management and survivorship experiences. Examples included discussions of green tea use during chemotherapy, cancer prevention strategies, and product recommendations for breast cancer. Top 15 symptoms in reviews were also identified, with pain being the most frequent symptom, followed by inflammation, fatigue, etc. The annotation labels were designed to capture cancer types, indicated symptoms, and symptom management outcomes. The resulting annotation corpus contains 2067 labels from 159 Amazon reviews. It is publicly accessible, together with the annotation guideline through the Open Health Natural Language Processing (OHNLP) GitHub. Our baseline model, Bert-base-cased, achieved the highest weighted average F1-score, that is, 66.92%, for named entity recognition, and LLM gpt4-1106-preview-chat achieved the highest F1-score for text classification tasks, that is, 66.67% for "Harmful outcome," 88.46% for "Favorable outcome" and 73.33% for "Ambiguous outcome."</p><p><strong>Conclusions: </strong>Our results demonstrate the potential of Amazon consumer reviews as a novel data source for identifying persistent symptoms, concerns, and self-management strategies among cancer survivors. This corpus, along with the baseline natural language processing models developed for named
背景:癌症幸存者越来越多地使用辅助疗法。作为客户分享他们对从电子商务平台购买的产品的感受、结果和感知知识的渠道,亚马逊消费者评论是了解癌症幸存者护理需求的宝贵现实数据来源。目的:在本研究中,我们旨在强调使用亚马逊消费者评论作为识别癌症生存护理需求的新来源的潜力,特别是与症状自我管理相关的需求。具体来说,我们提出了一个公开可用的、人工注释的语料库,该语料库来源于亚马逊对健康相关产品的评论,并使用深度学习和大型语言模型(LLM)开发了基线自然语言处理模型,以证明该数据集的可用性。方法:采用基于规则的方法对亚马逊评论数据集进行预处理,识别涉及癌症的句子,并进行内容分析,包括文本特征分析、情感分析、主题建模、癌症类型和症状关联分析。然后,我们设计了一个注释指南,针对与生存相关的构造。总共对159篇综述进行了注释,并基于深度学习和大型语言模型(LLM)开发了用于命名实体识别和文本分类任务的基线模型。结果:从与2589种不同产品相关的3349篇评论中,共鉴定出4703个包含阳性癌症提及的句子。通过主题建模确定的主题揭示了对癌症症状管理和生存经验的有意义的见解。例子包括讨论化疗期间绿茶的使用,癌症预防策略,以及乳腺癌的产品建议。在回顾中还确定了前15个症状,其中疼痛是最常见的症状,其次是炎症、疲劳等。注释标签的设计是为了捕获癌症类型、指示症状和症状管理结果。得到的标注语料库包含来自159条亚马逊评论的2067个标签。它与注释指南一起可通过开放健康自然语言处理(OHNLP) GitHub公开访问。我们的基线模型bert -base-case在命名实体识别方面取得了最高的加权平均f1分数,即66.92%,LLM gpt4-1106-pre -chat在文本分类任务方面取得了最高的f1分数,即“有害结果”为66.67%,“有利结果”为88.46%,“模糊结果”为73.33%。结论:我们的研究结果证明了亚马逊消费者评论作为识别癌症幸存者持续症状、关注点和自我管理策略的新数据源的潜力。该语料库,以及为命名实体识别和文本分类开发的基线自然语言处理模型,为癌症生存研究的未来方法进步奠定了基础。重要的是,这项研究的见解可以根据癌症生存护理中症状管理的既定临床指南进行评估。通过揭示使用消费者生成的数据挖掘幸存者相关经验的可行性,本研究为未来的研究和论证分析提供了有希望的基础,旨在改善癌症幸存者的长期结果和支持。
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引用次数: 0
Relationship Between Cognitive Disorder and First-Line Targeted Therapy for Oncogene Driver-Positive Patients With Non-Small Cell Lung Cancer: Prospective Cohort Study. 认知障碍与癌基因驱动阳性非小细胞肺癌患者一线靶向治疗的关系:前瞻性队列研究
IF 2.7 Q2 ONCOLOGY Pub Date : 2025-09-18 DOI: 10.2196/59647
Wenjun Chen, Xueyang Hu, Senbang Yao, Ziran Bi, Maoxi Chen, Huaidong Cheng

Background: Previous studies have found and confirmed a correlation between cognitive disorder and chemotherapy. As genetic testing becomes more routine in clinical practice, targeted therapies are increasingly gaining prominence. The relationship between targeted treatment and cognitive function is not yet clear. This study aimed to investigate the correlation between cognitive disorder and targeted treatment by evaluating the changes in cognitive function before and after targeted therapy.

Objective: This study aims to explore whether targeted therapy affects cognitive function in patients with advanced lung cancer and to explore the association between cognitive function, the inflammatory biomarker C-reactive protein, and psychological stress.

Methods: From the screened cohort of 150 patients with advanced non-small cell lung cancer (NSCLC) with gene mutations, 87 (58%) were rigorously selected for the study. The evaluation instruments used were the Mini-Mental State Examination scale, the Distress Thermometer, and the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 for assessing quality of life.

Results: A significantly lower progression-free survival (PFS) was observed in the group of patients surviving advanced NSCLC with cognitive disorder under targeted therapy in contrast to survivors in the group with no cognitive disorder (hazard ratio=0.347, 95% CI 0.209-0.578; P<.001). Furthermore, the objective response rate and disease control rate for the group with cognitive disorder were noted to be 37.8% and 86.7%, respectively, contrastingly lower than those in the group with no cognitive disorder, recorded at 78.6% and 97.6%, respectively. Significant variances were also noted in the Mini-Mental State Examination scores between patients with and without cognitive disorder both before and after targeted therapy (P<.001 in both cases), with a decreasing trend observed in both groups after targeted therapy. Noteworthy differences were found in quality of life scores both before and after targeted therapy (P<.001 in both cases). In addition, notable disparities were apparent in C-reactive protein levels among the 2 groups before and after treatment (P=.03 and P=.048 for each time point, respectively), with an upward trend observed in both groups after targeted therapy. The multivariate Cox regression analysis demonstrated that cognitive function is an independent risk factor for PFS in patients with NSCLC receiving targeted therapy.

Conclusions: Cognitive disorder may lead to lower quality of life scores and shorter PFS in patients undergoing targeted therapy. Early screening and intervention for such patients could effectively improve clinical outcomes and quality of life.

背景:以往的研究已经发现并证实了认知障碍与化疗之间的相关性。随着基因检测在临床实践中变得越来越常规,靶向治疗日益得到重视。靶向治疗与认知功能之间的关系尚不清楚。本研究旨在通过评估靶向治疗前后认知功能的变化,探讨认知障碍与靶向治疗的相关性。目的:本研究旨在探讨靶向治疗是否会影响晚期肺癌患者的认知功能,并探讨认知功能、炎症生物标志物c反应蛋白与心理应激之间的关系。方法:从筛选的150例晚期非小细胞肺癌(NSCLC)基因突变患者中,严格选择87例(58%)进行研究。所使用的评估工具是小型精神状态检查量表、痛苦温度计和欧洲癌症研究和治疗组织生活质量问卷核心30,用于评估生活质量。结果:与无认知障碍组相比,接受靶向治疗的晚期NSCLC伴有认知障碍患者的无进展生存期(PFS)明显较低(风险比=0.347,95% CI 0.209-0.578);结论:认知障碍可能导致接受靶向治疗的患者生活质量评分较低,PFS较短。对此类患者进行早期筛查和干预,可有效改善临床预后和生活质量。
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引用次数: 0
Exposure to Radiation and Thyroid Cancer Risk Among Young Female Nurses: Longitudinal Analysis From the Korea Nurses' Health Study. 辐射暴露与年轻女护士甲状腺癌风险:来自韩国护士健康研究的纵向分析
IF 2.7 Q2 ONCOLOGY Pub Date : 2025-09-18 DOI: 10.2196/68037
Young Taek Kim, Choa Sung, Yanghee Pang, Chiyoung Cha

Background: Thyroid cancer is one of the most commonly diagnosed malignancies in South Korea, with incidence rates among the highest globally. Young women, in particular, represent a high-risk group, likely due to a combination of biological, occupational, and environmental factors. However, the specific risk factors contributing to thyroid cancer development in this population remain poorly understood.

Objective: This study aims to identify the risk factors associated with thyroid cancer among young female nurses using longitudinal survival analysis.

Methods: This longitudinal study used data from the Korea Nurses' Health Study (KNHS), a prospective national cohort of female nurses. Data from the first, fifth, seventh, and ninth surveys were used to construct a person-period data set. Female nurses aged in their 20s at baseline were included. Time-varying explanatory variables included age, marital status, BMI, smoking, alcohol consumption, perceived stress, sleep problems, nursing position, night shift work, working unit, and duration of radiation exposure. The dependent variable was self-reported physician-diagnosed thyroid cancer. Kaplan-Meier survival analysis and Cox proportional hazards regression were performed to examine the association between risk factors and thyroid cancer occurrence.

Results: A total of 22,759 person-period cases were analyzed, and 105 thyroid cancer events were identified. Kaplan-Meier analysis showed significant associations between thyroid cancer occurrence and age (χ²1=51.6, P<.001), marital status (χ²1=25.1, P<.001), sleep problems (χ²1=20.3, P<.001), night shift work (χ²1=20.1, P<.001), working unit (χ²1=13.0, P<.001), and duration of radiation exposure (χ²1=91.0, P<.001). In the Cox regression model, nurses aged in their 20s had a significantly higher risk of thyroid cancer than those aged in their 30s (hazard ratio [HR] 4.602, 95% CI 1.893-11.188). Those who worked night shifts were also at an increased risk (HR 1.923, 95% CI 1.127-3.280). Compared with no exposure, radiation exposure showed a dose-response relationship: <1 year: HR 3.449, 95% CI 1.474-8.074; ≥1 year: HR 4.178, 95% CI 2.702-6.461.

Conclusions: Younger age, night shift work, and duration of radiation exposure were significantly associated with an increased risk of thyroid cancer in young female nurses. These findings highlight the importance of early screening and occupational risk management, including regular radiation monitoring and support for circadian health, in health care settings.

International registered report identifier (irrid): RR2-10.4178/epih.e2024048.

背景:甲状腺癌是韩国最常见的恶性肿瘤之一,其发病率在全球名列前茅。特别是年轻女性,可能是由于生物、职业和环境因素的综合作用,是一个高危群体。然而,在这一人群中,导致甲状腺癌发展的具体危险因素仍然知之甚少。目的:本研究旨在通过纵向生存分析确定年轻女护士甲状腺癌的相关危险因素。方法:这项纵向研究使用了韩国护士健康研究(KNHS)的数据,这是一项前瞻性的全国女护士队列研究。第一次、第五次、第七次和第九次调查的数据被用来构建一个个人周期的数据集。研究对象为基线年龄为20多岁的女护士。随时间变化的解释变量包括年龄、婚姻状况、体重指数、吸烟、饮酒、感知压力、睡眠问题、护理姿势、夜班工作、工作单位和辐射暴露时间。因变量是自我报告的医生诊断的甲状腺癌。Kaplan-Meier生存分析和Cox比例风险回归检验危险因素与甲状腺癌发生的关系。结果:共分析了22,759例病例,确定了105例甲状腺癌事件。Kaplan-Meier分析显示,甲状腺癌的发生与年龄有显著相关性(χ 2 1=51.6, P1=25.1, P1=20.3, P1=20.1, P1=13.0, P1=91.0, p)。结论:年龄较小、夜班工作和辐射暴露时间与年轻女护士甲状腺癌的发病风险增加有显著相关。这些发现强调了在卫生保健机构中进行早期筛查和职业风险管理的重要性,包括定期辐射监测和支持昼夜健康。国际注册报告标识符(irrid): RR2-10.4178/epih.e2024048。
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引用次数: 0
Virtual Health Assistants in Preventive Cancer Care Communication: Systematic Review. 预防癌症护理沟通中的虚拟健康助理:系统回顾。
IF 2.7 Q2 ONCOLOGY Pub Date : 2025-09-15 DOI: 10.2196/73616
Aantaki Raisa, Xiaobei Chen, Emma G Bryan, Carma L Bylund, Jordan M Alpert, Benjamin Lok, Carla L Fisher, Lyndsey Thomas, Janice L Krieger
<p><strong>Background: </strong>Virtual health assistants (VHAs), interactive digital programs that emulate human communication, are being increasingly used in health care to improve patient education and care and to reduce the burden on health care providers. VHAs have the potential to promote cancer equity through facilitating patient engagement, providing round-the-clock access to information, and reducing language barriers. However, it is unclear to what extent audience-centeredness is being considered in the development of cancer-related applications.</p><p><strong>Objective: </strong>This systematic review identifies and synthesizes strategies used to make VHA-based cancer prevention and screening interventions audience-centered.</p><p><strong>Methods: </strong>Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines, we searched 4 databases (PubMed, Embase, Web of Science, and EBSCOhost) for peer-reviewed studies on VHA interventions promoting cancer screening (January 2022). Included studies focused on adult populations in primary care settings, with interventions emphasizing interactivity and immediacy (key VHA features). Excluded studies were on cancer treatment, noninteractive decision aids, or technical VHA development. Screening, data extraction, and quality assessment (Mixed Methods Appraisal Tool) were performed independently by multiple reviewers. Thematic synthesis was used to analyze audience-centered strategies.</p><p><strong>Results: </strong>Of 1055 records screened, 17 studies met inclusion criteria. Most (n=11) targeted colorectal cancer, with others addressing prostate, breast, cervical, or lung cancer. A total of 16 studies were US-based; 1 study focused on Uganda. Key strategies for audience-centered design included: (1) Demographic Concordance: Race or gender alignment between VHA and users (eg, African American participants interacting with Black-coded avatars); (2) User Feedback: Iterative testing via interviews, think-aloud protocols, or pilot studies to refine interventions; (3) Preintervention Needs Assessment: Identifying cultural, linguistic, or literacy barriers (eg, myths about screening in Ugandan communities); (4) Theoretical Frameworks: The Health Belief Model (most common), the Modality, Agency, Interactivity, and Navigability (MAIN) model, or tailored messaging theories guided design; (5) Information Customization: Culturally adapted content (eg, Spanish-language interfaces, narratives addressing racial disparities); and (6) Feature Customization: Adjusting VHA appearance (eg, animations and fonts) based on user preferences. Notably, 7/17 studies focused on racially minoritized groups (eg, African Americans, Hispanic farmworkers), addressing systemic barriers like mistrust in health care. However, gaps persisted in intersectional tailoring (eg, rurality and income) and non-English languages (only 2/17 studies). Recruitment methods influenced diversity; community
背景:虚拟健康助理(VHAs),一种模拟人类交流的交互式数字程序,正越来越多地用于卫生保健,以改善患者教育和护理,并减轻卫生保健提供者的负担。vha有潜力通过促进患者参与、提供全天候信息获取和减少语言障碍来促进癌症公平。然而,目前尚不清楚在癌症相关应用的开发中,以受众为中心的考虑程度如何。目的:本系统综述确定并综合了以vha为基础的癌症预防和筛查干预以受众为中心的策略。方法:根据PRISMA (Preferred Reporting Items for Systematic Reviews and meta - analysis) 2020指南,我们检索了4个数据库(PubMed、Embase、Web of Science和EBSCOhost),检索了关于VHA干预促进癌症筛查的同行评议研究(2022年1月)。纳入的研究集中在初级保健机构的成年人群,干预措施强调互动性和即时性(VHA的关键特征)。排除的研究包括癌症治疗、非互动性决策辅助或VHA技术开发。筛选、数据提取和质量评估(混合方法评估工具)由多位评论者独立完成。采用主题综合的方法分析以受众为中心的策略。结果:在筛选的1055项记录中,有17项研究符合纳入标准。大多数(n=11)针对结直肠癌,其他针对前列腺癌、乳腺癌、宫颈癌或肺癌。共有16项研究是在美国进行的;1项研究的重点是乌干达。以受众为中心设计的关键策略包括:(1)人口统计学一致性:VHA和用户之间的种族或性别一致性(例如,非裔美国人参与者与黑人编码的虚拟形象互动);(2)用户反馈:通过访谈、有声思考协议或试点研究进行迭代测试,以完善干预措施;(3)干预前需求评估:识别文化、语言或读写障碍(例如,乌干达社区关于筛查的误解);(4)理论框架:健康信念模型(最常见),模态、代理、交互性和可导航性(主要)模型,或定制信息理论指导设计;(5)信息定制:适应文化的内容(例如,西班牙语界面,解决种族差异的叙述);(6)功能定制:根据用户偏好调整VHA外观(例如动画和字体)。值得注意的是,7/17的研究侧重于种族少数群体(如非洲裔美国人、西班牙裔农场工人),解决了医疗保健方面的不信任等系统性障碍。然而,在交叉裁剪(例如,农村和收入)和非英语语言(只有2/17的研究)方面,差距仍然存在。招聘方式影响多样性;基于社区的招聘策略比完全基于互联网的招聘方法产生了更具代表性的样本。结论:系统评价确定了目前以受众为中心的发展实践,用于基于vha的预防癌症护理干预。大多数研究包括使目标受众多样化和细分的过程,侧重于医学上代表性不足的人口群体,并执行对有关人口具有文化敏感性的战略。然而,仍有机会解决多方面的不平等问题(如农村准入和低识字率)。未来的干预措施应整合交叉框架,扩大语言多样性,并衡量社会存在以提高参与度。本综述为开发以公平为重点的癌症预防电子健康工具提供了路线图。
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