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Human Papillomavirus Vaccine Perceptions Among Noncollege Young Adults and TikTok Influencers: Qualitative Study. 非大学年轻人和抖音影响者对人乳头瘤病毒疫苗的看法:定性研究。
IF 2 Q3 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-02-06 DOI: 10.2196/80783
Amelia Burke-Garcia, Dasha Afanaseva, Erin Cutroneo, Kayla Madden, Angela Sustaita-Ruiz, Estefany Rivera Sanchez, Amy Leader
<p><strong>Background: </strong>Human papillomavirus (HPV) vaccination is a proven and effective tool for preventing several types of cancers, yet vaccination rates among young adults remain suboptimal, particularly among those not enrolled in 4-year colleges. This population can be more difficult to reach due to fewer established institutional touchpoints, limited engagement with campus-based health services, and greater variability in access to preventive care. At the same time, social media has become a dominant source of information for young adults, with TikTok (ByteDance) emerging as one of the most widely used platforms. Approximately 41% of TikTok's users are between the ages of 16 and 24 years, making it a potentially important channel for public health communication. However, little is known about how noncollege young adults perceive HPV-related content on TikTok, or how influencers themselves view their role in communicating about vaccination.</p><p><strong>Objective: </strong>This study explored the perspectives of young adults and TikTok influencers regarding the dissemination and reception of HPV vaccine information on TikTok. The goal was to assess the potential of leveraging influencers as trusted messengers for this hard-to-reach population.</p><p><strong>Methods: </strong>Researchers conducted 5 focus groups with noncollege young adults, stratified by gender and vaccination status. Each group included 5-8 participants, resulting in a total of 34 individuals. Participants who reported being extremely hesitant about the HPV vaccine were excluded to focus on those more receptive to information. In parallel, researchers recruited 9 TikTok influencers who reached audiences aged 18-25 years and conducted in-depth individual interviews. Influencers represented a diverse mix of identities, follower counts, and content genres, providing varied perspectives on engagement with health-related topics.</p><p><strong>Results: </strong>Across the focus groups, young adults described regularly encountering or actively seeking health-related information online, with TikTok emerging as a primary or supplementary source for some. However, very few participants reported seeing content specifically related to HPV vaccination. Despite this gap, most expressed openness to such content if it was delivered in a relatable, authentic manner and included concise, relevant facts. Influencers echoed the importance of authenticity, emphasizing that their credibility is grounded in genuine connections with their audiences. Many described frequent, meaningful exchanges with followers about sensitive issues, suggesting comfort in addressing health topics. Influencers noted that they would be willing to share HPV-related content under certain conditions, including alignment with existing content, personal relevance, or participation in a structured campaign or partnership.</p><p><strong>Conclusions: </strong>Findings suggest that TikTok may be a promising platform
背景:人乳头瘤病毒(HPV)疫苗接种是一种被证明有效的预防多种癌症的工具,但年轻人的疫苗接种率仍然不理想,特别是那些没有进入四年制大学的人。由于现有的机构接触点较少,与校园卫生服务的接触有限,以及在获得预防性保健方面存在较大差异,这一人群可能更难以接触到。与此同时,社交媒体已成为年轻人的主要信息来源,抖音(字节跳动)成为使用最广泛的平台之一。约41%的TikTok用户年龄在16至24岁之间,这使其成为公共卫生交流的潜在重要渠道。然而,对于没有上过大学的年轻人如何看待TikTok上与hpv相关的内容,以及网红如何看待自己在宣传疫苗接种方面的作用,人们知之甚少。目的:本研究探讨了年轻人和TikTok网红在TikTok上传播和接受HPV疫苗信息的观点。目的是评估利用有影响力的人作为可信的信使的潜力,为这一难以接触到的人群提供服务。方法:研究人员对非大学青年进行了5个焦点小组,按性别和疫苗接种状况分层。每组5-8人,共34人。报告对HPV疫苗非常犹豫的参与者被排除在外,重点关注那些更容易接受信息的人。与此同时,研究人员招募了9名TikTok网红,他们的受众年龄在18-25岁之间,并进行了深入的个人采访。影响者代表了身份、关注者数量和内容类型的多样化组合,提供了参与健康相关主题的不同观点。结果:在所有焦点小组中,年轻人都描述了他们经常在网上遇到或积极寻找与健康相关的信息,TikTok成为一些人的主要或补充来源。然而,很少有参与者报告看到与HPV疫苗接种专门相关的内容。尽管存在这种差距,但大多数人表示,如果这些内容以一种相关的、真实的方式传递,并包括简洁、相关的事实,他们对这些内容持开放态度。网红们认同真实性的重要性,强调他们的可信度建立在与受众的真诚联系之上。许多人表示,他们经常与追随者就敏感问题进行有意义的交流,这表明他们在谈论健康话题时很自在。有影响力的人指出,他们愿意在某些条件下分享hpv相关的内容,包括与现有内容保持一致,个人相关性,或参与有组织的活动或合作伙伴关系。结论:研究结果表明,TikTok可能是一个很有前途的平台,可以让非大学年轻人参与HPV疫苗接种信息。有影响力的人与他们的受众保持着牢固的准社会关系,可以使他们成为敏感健康话题的有效信使。与有影响力的人进行战略合作,再加上精心制作的真实内容,可能有助于弥合沟通差距,并支持在这一服务不足的人群中提高对HPV疫苗接种的认识。
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引用次数: 0
Clinical Decision Support Tool for Early Pancreatic Cancer Detection in Primary Care: Simulation Study. 初级保健早期胰腺癌检测的临床决策支持工具:模拟研究。
IF 2 Q3 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-02-06 DOI: 10.2196/79209
Javiera Martinez-Gutierrez, Kaleswari Somasundaram, Christina Maresch Bernardes, Meena Rafiq, Silja Schrader, Susan Jordan, Sophie Chima, Lucas De Mendonca, Kit Huckvale, Barbara Hunter, Jo-Anne Manski-Nankervis, James Lawson, Katrina Anderson, Vivienne Milch, Rachel E Neale, Jon Emery

Background: Early detection in primary care could improve pancreatic cancer survival, but diagnosis is often delayed due to the low prevalence of the disease, the nonspecific nature of early symptoms, and the broad range of conditions and volume of consultations managed by general practitioners (GPs). In Australia, improving pancreatic cancer outcomes, including via earlier diagnosis, is a priority being progressed under the National Pancreatic Cancer Roadmap developed by Cancer Australia. Computerized clinical decision support systems (CDSSs) have shown promise in aiding timely cancer diagnosis; however, barriers to adopting CDSS such as mistrust of the recommendations or not being embedded in the clinical workflow remain. Simulation techniques, which offer flexible and cost-effective ways to evaluate digital health interventions, can be used to test CDSS before real-world implementation.

Objective: This study aims to assess the acceptability and feasibility of identifying patients with symptoms associated with pancreatic cancer through a CDSS within a simulated environment.

Methods: We developed a CDSS that interacted with an electronic health record used in general practice to identify patients with symptoms, which may indicate pancreatic cancer (unintended weight loss or new-onset diabetes), in a simulation laboratory for digital interventions. We tested it by inviting GPs (n=11) to use the CDSS, with patient actors simulating specific clinical scenarios. We then interviewed GPs about the interaction to assess the acceptability and feasibility of the CDSS in their clinical practice. We used thematic analysis and 2 relevant frameworks to analyze the data.

Results: GPs found the CDSS easy to use, unobstructive, and effective as a prompt to consider investigations for people with risk factors for pancreatic cancer. However, they expressed concerns about possible overtesting, financial costs, and the potential for anxiety in patients with a very low probability of having cancer.

Conclusions: While GPs found the tool useful and compatible with their workflow, concerns about overtesting, lack of evidence, and cost-effectiveness were identified as barriers. GPs favored a stepwise approach to investigations rather than immediate imaging. Despite the overall acceptability of the tool, additional evidence to underpin clinical recommendations is necessary before implementing a CDSS with these specific recommendations for pancreatic cancer in primary care.

背景:在初级保健中早期发现可以提高胰腺癌的生存率,但由于该疾病的低患病率、早期症状的非特异性以及全科医生(gp)管理的疾病范围和会诊量的广泛,诊断往往被延迟。在澳大利亚,改善胰腺癌预后,包括通过早期诊断,是澳大利亚癌症协会制定的国家胰腺癌路线图正在推进的优先事项。计算机临床决策支持系统(CDSSs)在帮助及时诊断癌症方面显示出了希望;然而,采用CDSS的障碍仍然存在,例如对建议的不信任或未嵌入临床工作流程。模拟技术为评估数字卫生干预措施提供了灵活和具有成本效益的方法,可用于在实际实施之前测试CDSS。目的:本研究旨在评估在模拟环境中通过CDSS识别胰腺癌相关症状患者的可接受性和可行性。方法:我们在数字干预模拟实验室中开发了一个CDSS,该CDSS与一般实践中使用的电子健康记录相互作用,以识别可能表明胰腺癌(意外体重减轻或新发糖尿病)的症状患者。我们通过邀请全科医生(n=11)使用CDSS进行测试,患者演员模拟特定的临床场景。然后,我们对全科医生进行了访谈,以评估CDSS在临床实践中的可接受性和可行性。我们使用专题分析和2个相关框架来分析数据。结果:全科医生发现CDSS易于使用,无阻碍,有效地提示有胰腺癌危险因素的人考虑调查。然而,他们对可能的过度测试、经济成本以及患癌症可能性极低的患者的潜在焦虑表示担忧。结论:虽然全科医生发现该工具有用且与他们的工作流程兼容,但对过度检测、缺乏证据和成本效益的担忧被认为是障碍。全科医生倾向于逐步进行调查,而不是立即成像。尽管该工具总体上是可接受的,但在将CDSS与这些特定的胰腺癌初级保健建议一起实施之前,还需要更多的证据来支持临床推荐。
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引用次数: 0
Challenges for a Maternal-Care Health Recommender System in Indonesia: Formative Preimplementation Qualitative Study. 印度尼西亚孕产妇保健推荐系统面临的挑战:形成性实施前定性研究。
IF 2 Q3 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-02-06 DOI: 10.2196/73726
Rinto Priambodo, Putu Wuri Handayani, Rizal Fathoni Aji, Kaharudin Dimyati

Background: Maternal evaluation during routine antenatal care visits may reduce maternal morbidity and mortality by identifying and addressing issues early on. A health recommender system could help health professionals and pregnant women monitor daily health parameters, provide tailored recommendations, and support timely antenatal care.

Objective: This study aims to qualitatively analyze challenges in the preimplementation of health recommender system for maternal care in Indonesia as perceived by multiple stakeholders, including health care providers, patients, health system managers, government officers, and technology vendors.

Methods: The methodology used a qualitative approach, where qualitative data were obtained from interviews of 37 respondents from multiple stakeholders, consisting of 15 health workers and 15 patients from private and government health care facilities, 4 officers from government health offices, 2 directors of health application vendors, and 1 manager from a private health clinic. These semistructured interview results were analyzed using thematic analysis.

Results: This qualitative study identifies key challenges in implementing a health recommender system for maternal care in Indonesia across the people, process, infrastructure, and policy dimensions. Intercoder reliability for the coding process demonstrated almost perfect agreement (Cohen κ=0.90), supporting the consistency of the coding process. Six major challenges were revealed, mostly regarding skill, accuracy, completeness, timeliness, cost, and standardization. These 6 major challenges were mentioned 96 times, accounting for 64.43% of all codes extracted from the interviews. These findings emphasize the value of user involvement in system design to meet health care professionals' and patients' needs, technical advancements to foster trust and support effective decision-making, as well as enhanced data accuracy, reliable and timely service delivery, cost management, and clear regulatory standards.

Conclusions: This formative, preimplementation qualitative study highlights the importance of involving users in system design and future implementation to meet the needs of health care professionals and patients. Reducing input errors and improving system reliability are critical to building trust and supporting effective point-of-care decision-making and, in later phases, facility-level monitoring as part of public health surveillance. Adherence to regulatory standards and the establishment of standardized guidelines will be key to enabling broader implementation. Further usability, feasibility, and pilot studies are required before any evaluation of effectiveness.

背景:在常规产前保健访问期间的孕产妇评估可以通过及早发现和解决问题来降低孕产妇发病率和死亡率。健康推荐系统可以帮助卫生专业人员和孕妇监测日常健康参数,提供量身定制的建议,并支持及时的产前保健。目的:本研究旨在定性分析印度尼西亚孕产妇保健健康推荐系统实施前面临的挑战,包括卫生保健提供者、患者、卫生系统管理者、政府官员和技术供应商等多个利益相关者。方法:该方法采用定性方法,从对来自多个利益相关者的37名受访者的访谈中获得定性数据,这些受访者包括来自私营和政府卫生保健机构的15名卫生工作者和15名患者,来自政府卫生办公室的4名官员,2名卫生应用供应商主任和1名私人卫生诊所的经理。对这些半结构化访谈结果进行专题分析。结果:本定性研究确定了在印度尼西亚实施孕产妇保健健康推荐系统的关键挑战,涉及人员、流程、基础设施和政策等方面。编码过程的互编码可靠性表现出几乎完美的一致性(Cohen κ=0.90),支持编码过程的一致性。揭示了六个主要挑战,主要涉及技能、准确性、完整性、及时性、成本和标准化。这6个主要挑战被提及96次,占访谈中提取的所有代码的64.43%。这些发现强调了用户参与系统设计的价值,以满足卫生保健专业人员和患者的需求,技术进步以促进信任和支持有效决策,以及提高数据准确性,可靠和及时的服务提供,成本管理和明确的监管标准。结论:这项形成性的、实施前的定性研究强调了让用户参与系统设计和未来实施的重要性,以满足卫生保健专业人员和患者的需求。减少输入错误和提高系统可靠性对于建立信任和支持有效的护理点决策以及在后期阶段将设施级监测作为公共卫生监测的一部分至关重要。遵守监管标准和制定标准化准则将是实现更广泛实施的关键。在任何有效性评估之前,需要进一步的可用性、可行性和试点研究。
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引用次数: 0
Evaluating a Wearable-Based Pain Monitoring System in Palliative Cancer Care: Usability and Feasibility Study. 评估可穿戴式疼痛监测系统在姑息性癌症治疗中的可用性和可行性研究。
IF 2 Q3 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-02-06 DOI: 10.2196/78098
Federico Domínguez, Jacqueline Heras, Jhonston Benjumea, Mariana Vallejo, Ericka Parra, Wagner Fiallos, Andrea Villao, Fabricio Pazmiño, Johan Stiens, Bruno da Silva

Background: Effective pain management is a cornerstone of cancer palliative care, yet it remains challenging in low- and middle-income countries due to limited resources, regulatory constraints, and a lack of objective tools. While wearable technologies offer promise for augmenting pain-related patient-reported outcomes with physiological data, their usability in palliative settings in low- and middle-income countries is underexplored.

Objective: This study aimed to evaluate the technology usability and implementation feasibility of the NEST (Non-intrusive Devices for Telemedicine) system, a low-cost, smartwatch-based pain monitoring solution for palliative cancer care co-designed with health care staff from a cancer hospital in Ecuador.

Methods: An observational usability study was conducted with 7 patients with cancer receiving palliative care treatment, combining hospital- and home-based monitoring phases. We used a qualitative and quantitative approach to assess the usability of the NEST system and to identify sociotechnical factors affecting feasibility using the NASSS (Nonadoption, Abandonment, Scale-up, Spread, and Sustainability) framework.

Results: Quantitative results showed a strong preference for the smartwatch over the mobile phone for submitting patient-reported outcomes (246/296, 83%), with wear-time adherence of the smartwatch ranging from 36% to 92% of the time. Qualitative feedback from patients and health care staff indicated good usability and perceived clinical value, though technical and organizational challenges, such as charging habits, training needs, and dashboard integration into the daily workflow of health care staff, were noted. As for feasibility, most of the complexity was found in the dynamics of the health condition, while the technology shows clear promising signs of having value to patients and health care staff.

Conclusions: Our findings suggest that the commonly reported usability hurdles of a smartwatch-based sociotechnical health solution are surmountable given fluid communication between stakeholders during all stages of design and deployment. The primary threats to feasibility in our context seem to lie in the highly complex and dynamic environment of palliative cancer care, regulatory ambiguity regarding the use of medical devices, and the workload burden on health care staff.

背景:有效的疼痛管理是癌症姑息治疗的基石,但由于资源有限、监管限制和缺乏客观工具,在低收入和中等收入国家仍然具有挑战性。虽然可穿戴技术有望通过生理数据来增加与疼痛相关的患者报告结果,但它们在中低收入国家姑息治疗环境中的可用性尚未得到充分探索。目的:本研究旨在评估NEST(非侵入式远程医疗设备)系统的技术可用性和实施可行性,该系统是与厄瓜多尔一家癌症医院的医护人员共同设计的一种低成本、基于智能手表的姑息性癌症疼痛监测解决方案。方法:对7例接受姑息治疗的癌症患者进行观察性可用性研究,采用医院和家庭监测相结合的方法。我们使用定性和定量方法来评估NEST系统的可用性,并使用NASSS(不采用、放弃、扩大规模、传播和可持续性)框架确定影响可行性的社会技术因素。结果:定量结果显示,在提交患者报告的结果时,智能手表比手机更受青睐(246/ 296,83 %),智能手表的佩戴时间依从性从36%到92%不等。来自患者和医护人员的定性反馈表明,该系统具有良好的可用性和可感知的临床价值,但也指出了技术和组织方面的挑战,如收费习惯、培训需求以及将仪表板集成到医护人员的日常工作流程中。就可行性而言,大多数复杂性都存在于健康状况的动态中,而该技术显示出对患者和医护人员有价值的明确的有希望的迹象。结论:我们的研究结果表明,考虑到在设计和部署的所有阶段利益相关者之间的流畅沟通,基于智能手表的社会技术健康解决方案的可用性障碍是可以克服的。在我们的背景下,可行性的主要威胁似乎在于姑息性癌症治疗的高度复杂和动态环境,关于医疗设备使用的监管模糊,以及卫生保健人员的工作量负担。
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引用次数: 0
LSTM-GPT-4 Integration for Interpretable Biomedical Signal Classification. 可解释生物医学信号分类的LSTM-GPT-4集成。
IF 2 Q3 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-02-05 DOI: 10.2196/87962
Kapil Kumar Reddy Poreddy, Ajit Sahu, Sanjoy Mukherjee, Bhavan Basavaraju
<p><strong>Background: </strong>Approximately 3.8 billion people lack access to essential health services, and diagnostic interpretation remains a major bottleneck in remote and resource-constrained settings. Limited access to specialists and the complexity of biomedical signal interpretation (eg, ECG and EEG) contribute to delays in recognizing cardiovascular and neurological conditions.</p><p><strong>Objective: </strong>To develop and evaluate a technical framework integrating Long Short-Term Memory (LSTM) networks with GPT-4 to provide automated biomedical signal classification and human-readable interpretations, suitable as a foundation for future deployment in resource-constrained environments.</p><p><strong>Methods: </strong>The two-layer LSTM architecture (128→64 units) was selected based on preliminary experiments comparing configurations ranging from single-layer networks (64, 128 units) to deeper architectures (128→64→32 units). The chosen configuration balanced model capacity against overfitting risk and computational efficiency. Preliminary validation showed that deeper networks (≥3 layers) provided negligible performance gains (<1% accuracy) while increasing training time by 40-60%. A baseline 1D-CNN (3 convolutional layers, 64 filters each) achieved 2-3% lower accuracy across all datasets, supporting the use of recurrent architecture for temporal biomedical signals. We implemented a modality-adaptive preprocessing pipeline and single-lead selection strategy. The framework was evaluated using public PhysioNet datasets: MIT-BIH Arrhythmia, PTB Diagnostic ECG, PTB-XL, Chapman-Shaoxing, MIMIC-III Waveforms, and Sleep-EDF. A patient-level split protocol (70/15/15) was used to reduce leakage risk. The LSTM architecture (128→64 units) performed temporal feature extraction with softmax-based classification for mutually exclusive classes. GPT-4 was integrated via API with structured prompts to generate clinical interpretations from model outputs.</p><p><strong>Results: </strong>For the expert evaluation, we randomly sampled 50 test cases per dataset (150 total: 30 from each class for MIT-BIH, 25 per class for PTB, 20 per class for CHB-MIT) ensuring balanced class representation. Three board-certified physicians (2 cardiologists for ECG datasets, 1 neurologist for EEG dataset) independently reviewed GPT-4 generated interpretations. Reviewers were blinded to whether signals were correctly or incorrectly classified by the LSTM model. Each interpretation was rated on a 5-point Likert scale (1=clinically inappropriate, 5=highly accurate and clinically useful). Inter-rater reliability was assessed using Fleiss' kappa (κ=0.78, substantial agreement). On held-out test sets, classification performance was: MIT-BIH 92.3% accuracy (F1=0.91, AUC=0.95), PTB Diagnostic 94.7% (F1=0.94, AUC=0.97), PTB-XL 88.9% (F1=0.88, AUC=0.93), Chapman-Shaoxing 91.2% (F1=0.90, AUC=0.94), MIMIC-III 89.5% (F1=0.89, AUC=0.92), and Sleep-EDF 87.3% (F1=0.86, AUC=0.91). Expert
背景:大约38亿人无法获得基本卫生服务,在偏远和资源有限的环境中,诊断解释仍然是一个主要瓶颈。接触专家的机会有限,以及生物医学信号解释(如心电图和脑电图)的复杂性,导致心血管和神经系统疾病的识别延迟。目的:开发和评估将长短期记忆(LSTM)网络与GPT-4集成的技术框架,以提供自动化的生物医学信号分类和人类可读的解释,适合作为未来在资源受限环境中部署的基础。方法:通过初步实验对比单层网络(64、128单元)和深层网络(128→64→32单元)的配置,选择双层LSTM架构(128→64单元)。所选择的配置平衡了模型抵御过拟合风险的能力和计算效率。初步验证表明,更深层的网络(≥3层)提供了可以忽略不计的性能提升(结果:对于专家评估,我们随机抽取了每个数据集50个测试用例(总共150个:MIT-BIH每个类30个,PTB每个类25个,CHB-MIT每个类20个),以确保平衡的类表示。三名委员会认证的医生(心电图数据集的两名心脏病专家,脑电图数据集的一名神经学家)独立审查了GPT-4生成的解释。审稿人不知道LSTM模型对信号的分类是正确的还是错误的。每种解释都以5分的李克特量表进行评分(1=临床不合适,5=高度准确和临床有用)。采用Fleiss' kappa (κ=0.78,基本一致)评估量表间信度。在固定测试集上,分类准确率分别为MIT-BIH 92.3% (F1=0.91, AUC=0.95)、PTB Diagnostic 94.7% (F1=0.94, AUC=0.97)、PTB- xl 88.9% (F1=0.88, AUC=0.93)、Chapman-Shaoxing 91.2% (F1=0.90, AUC=0.94)、MIMIC-III 89.5% (F1=0.89, AUC=0.92)、睡眠- edf 87.3% (F1=0.86, AUC=0.91)。专家评估生成的解释(三名委员会认证的心脏病专家)的临床准确性为4.3/5.0,清晰度为4.6/5.0,可操作性为4.2/5.0,评分一致性强(κ>0.85)。结论:这一概念验证证明了基于深度学习的生物医学信号分类与基于GPT-4的解释的明确方法集成。该框架为未来的前瞻性临床验证、实地研究和在服务不足的环境中临床部署之前的监管审查提供了技术基础。临床试验:
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引用次数: 0
Family-Based Digital Lifestyle Intervention for Hispanic Adolescents and Their Parents: Iterative Co-Design and Development Study. 基于家庭的数字生活方式干预西班牙裔青少年及其父母:迭代共同设计与开发研究。
IF 2 Q3 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-02-05 DOI: 10.2196/73848
Sara Mijares St George, Blanca S Noriega Esquives, Rafael Leite, Vanina Pavia Aubry, Rana Saber, Yaray Agosto, Marissa Kobayashi, Guillermo Prado

Background: Hispanic youth in the United States have the highest rates of pediatric obesity and do not often meet national guidelines for physical activity and dietary intake. Family-based interventions can improve health outcomes in both youth and their parents and are highly relevant to Hispanics due to the cultural value of familismo (familism). However, few existing family-based obesity prevention interventions for Hispanics target adolescents and their parents, and those that do are not designed to facilitate widespread reach.

Objective: This study describes the development of Healthy Juntos (Healthy Together), a family-based intervention for Hispanic adolescents and their parents that leverages the web and smartphone technology to prevent the onset of adolescent obesity by promoting healthy lifestyle behaviors (physical activity and diet).

Methods: We used an iterative co-design process guided by the Integrate, Design, Assess, and Share (IDEAS) framework, which outlines 10 phases for developing digital interventions. Hispanic adolescents at risk for obesity and their parents (n=90; 45 dyads) participated across different phases of the intervention development process. We conducted qualitative interviews to understand their needs and preferences and to gather feedback on a series of intervention prototypes (conceptual, paper and minimally functional, and fully functional).

Results: Participants reported using technology for their health in limited ways (eg, to search for medical symptoms and recipes). They described the importance of having interactive and social features as part of a family-based digital health intervention. Their suggestions related to content, functionality, and aesthetics resulted in a fully functional prototype of a digital lifestyle intervention for Hispanic adolescents and their parents.

Conclusions: The iterative co-design process was crucial for refining the Healthy Juntos intervention. Our next steps are to evaluate its feasibility, acceptability, and preliminary effects through a pilot randomized controlled trial.

背景:美国的西班牙裔青少年儿童肥胖率最高,而且经常不符合国家关于体育活动和饮食摄入的指导方针。基于家庭的干预措施可以改善青年及其父母的健康结果,并且由于家庭主义的文化价值,与西班牙裔高度相关。然而,目前针对西班牙裔青少年及其父母的以家庭为基础的肥胖预防干预措施很少,而那些针对青少年及其父母的干预措施也没有被设计成促进广泛覆盖。目的:本研究描述了Healthy Juntos (Healthy Together)的发展,这是一项针对西班牙裔青少年及其父母的基于家庭的干预措施,利用网络和智能手机技术,通过促进健康的生活方式行为(体育活动和饮食)来预防青少年肥胖的发生。方法:我们采用了由集成、设计、评估和共享(IDEAS)框架指导的迭代协同设计过程,该框架概述了开发数字干预措施的10个阶段。有肥胖风险的西班牙裔青少年及其父母(n=90; 45对)参与了干预发展过程的不同阶段。我们进行了定性访谈,以了解他们的需求和偏好,并收集对一系列干预原型(概念、书面、最低功能和全功能)的反馈。结果:参与者报告说,他们在有限的方面使用技术来促进健康(例如,搜索医学症状和食谱)。他们描述了作为基于家庭的数字健康干预的一部分,具有互动和社交功能的重要性。他们在内容、功能和美学方面的建议为西班牙裔青少年和他们的父母提供了一个功能齐全的数字生活方式干预原型。结论:迭代共同设计过程对于完善健康Juntos干预措施至关重要。我们下一步将通过随机对照试验评估其可行性、可接受性和初步效果。
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引用次数: 0
Characterizing the Multidimensional Relationship Between Spirituality and Obsessive-Compulsive Disorder: Thematic Analysis. 表征精神性与强迫症的多维关系:主题分析。
IF 2 Q3 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-02-05 DOI: 10.2196/81964
Nora Yanyi Sun, Sofia Eun-Young Guerra, Mahie Mangesh Patil, Sai Supritha Chakravadhanula, Christopher Pittenger, Terence Ching

Unlabelled: To elucidate the complex relationship between spirituality and obsessive-compulsive disorder (OCD), we performed a qualitative analysis of messages (n=225) referencing spiritualities in r/OCD, a public online peer support forum for people with OCD with over 250,000 users; two central themes emerged: (1) influence of spirituality on OCD symptom manifestation and (2) impact of OCD on relationship with spirituality.

未标记:为了阐明精神与强迫症(OCD)之间的复杂关系,我们对r/OCD中涉及精神的信息(n=225)进行了定性分析,r/OCD是一个面向强迫症患者的公共在线同伴支持论坛,拥有超过25万用户;出现了两个中心主题:(1)精神对强迫症症状表现的影响;(2)强迫症对精神关系的影响。
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引用次数: 0
A Peer-Led, Narrative-Based, and Mobile-Supported Intervention in Opioid Use Disorder: Multiphase Qualitative and Longitudinal Observational Study. 阿片类药物使用障碍的同伴主导、基于叙述和移动支持干预:多阶段定性和纵向观察研究。
IF 2 Q3 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-02-05 DOI: 10.2196/82485
Maria C Latimer, Lydia Gregg, Mustapha Saheed, Karin E Tobin, Sharon M Kelly, Tracy Agee, R Joshua Steele, Nicholas Frankiewicz, Tarfa Verinumbe, Carl Latkin, Oluwaseun Falade-Nwulia
<p><strong>Background: </strong>The ongoing opioid epidemic has been associated with increases in emergency department visits and hospitalizations for drug overdose and injection-related infections. These encounters with the health care system provide an opportunity to offer drug treatment linkage and support for people with opioid use disorder (OUD). There is a need for interventions that enhance linkage to and engagement in treatment with medication for opioid use disorder (MOUD) for people with OUD identified in hospital settings as they transition back to community settings.</p><p><strong>Objective: </strong>The mTools4life (Johns Hopkins University) study aimed to develop and evaluate a peer-led intervention integrating narrative-based health communication into a mobile health (mHealth) app to increase posthospitalization engagement in MOUD and reduce substance use.</p><p><strong>Methods: </strong>The formative phase of the study consisted of semistructured interviews with people with OUD and clinicians who provide care to people with OUD. Interviews sought to identify salient content to include in visual narratives within the mHealth app and information that may increase motivations for behavior change related to MOUD engagement. The intervention was developed in accordance with the information-motivation-behavioral skills model, transportation theory, and the transtheoretical model. The pilot phase of mTools4Life (Johns Hopkins University) aimed to evaluate the acceptability and usability of the intervention. People with OUD were recruited from the Johns Hopkins Hospital Emergency Department and consented to receive the intervention for a 3-month period. Participants completed a study survey at baseline and a 3-month follow-up. Data on demographics, past 30-day substance use, MOUD, and intervention appropriateness and acceptability were obtained at both time points. Additional data on intervention uptake and frequency of use were collected at follow-up. Dependent samples 2-tailed t tests were conducted on continuous data, and Fisher exact tests were conducted on count data.</p><p><strong>Results: </strong>Twenty people with OUD piloted the intervention. The sample was mostly male (13/20, 65%) and non-Hispanic White (13/20, 65%) with a mean age of 41.1 (SD 8.7) years. Most participants (16/20, 80%) completed the 3-month follow-up. Fewer participants reported opioid use at follow-up (9/16, 56.3%) compared to baseline (20/20, 100%; P=.001, and mean days of opioid use out of the past 30 days declined from baseline (19.9, SD 11.7) to follow-up (8.3, SD 11.4; P=.002). MOUD treatment in the prior 3 months was reported by 65% (13/20) of participants at baseline and 81.3% (13/16) at follow-up (P=.46). Most participants used the app (11/16, 68.8%) or engaged with their peer navigator (10/16, 62.5%) during the intervention period. At follow-up, mean acceptability and appropriateness scores (scale 0-5; higher score indicating greater acceptability or
背景:持续的阿片类药物流行与急诊科就诊和药物过量和注射相关感染住院人数的增加有关。这些与卫生保健系统的接触提供了一个机会,为阿片类药物使用障碍患者提供药物治疗联系和支持。有必要采取干预措施,加强在医院环境中发现的阿片类药物使用障碍患者在过渡回社区环境时与阿片类药物使用障碍药物治疗的联系和参与。目的:mTools4life(约翰霍普金斯大学)的研究旨在开发和评估同伴主导的干预措施,将基于叙事的健康沟通整合到移动健康(mHealth)应用程序中,以增加住院后对mod的参与并减少物质使用。方法:研究的形成阶段包括对OUD患者和为OUD患者提供护理的临床医生进行半结构化访谈。访谈旨在确定移动健康应用程序的视觉叙述中包含的重要内容,以及可能增加与mod参与相关的行为改变动机的信息。干预是根据信息-动机-行为技能模型、运输理论和跨理论模型开发的。mTools4Life (Johns Hopkins University)的试验阶段旨在评估干预措施的可接受性和可用性。从约翰霍普金斯医院急诊科招募OUD患者,并同意接受为期3个月的干预。参与者在基线时完成了一项研究调查和3个月的随访。在两个时间点获得人口统计数据、过去30天的药物使用、mod以及干预的适当性和可接受性。在随访中收集了有关干预措施摄取和使用频率的其他数据。连续资料采用相关样本双尾t检验,计数资料采用Fisher精确检验。结果:20名OUD患者接受了干预。样本主要为男性(13/ 20,65%)和非西班牙裔白人(13/ 20,65%),平均年龄为41.1岁(SD 8.7)。大多数参与者(16/ 20,80 %)完成了3个月的随访。与基线(20/20,100%;P=.001)相比,随访时报告阿片类药物使用的参与者较少(9/16,56.3%),过去30天内阿片类药物使用的平均天数从基线(19.9,SD 11.7)下降到随访(8.3,SD 11.4; P=.002)。65%(13/20)的受试者在基线时接受了mod治疗,81.3%(13/16)的受试者在随访时接受了mod治疗(P= 0.46)。在干预期间,大多数参与者使用应用程序(11/16,68.8%)或与同伴导航员(10/16,62.5%)互动。随访时,平均可接受性和适当性得分(量表0-5,得分越高表示可接受性或适当性越高)分别为4.5 (SD 0.5)和4.3 (SD 0.8)。结论:本研究证明了开发和部署基于叙述的移动医疗干预以支持OUD护理参与的可行性,以及支持干预的可接受性、适当性和有效性的初步数据。
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引用次数: 0
Association of Fall-Risk Factors and Margin of Stability While Tripping in Community-Dwelling Older Adults: Experimental Pilot Study. 社区居住老年人跌倒风险因素与跌倒稳定度的关联:实验性先导研究。
IF 2 Q3 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-02-05 DOI: 10.2196/74418
Kim Sarah Sczuka, Marc Schneider, Ngaire Kerse, Clemens Becker, Jochen Klenk
<p><strong>Background: </strong>Falls are a leading cause of injury among older adults, often resulting from dynamic balance disturbances. It is influenced by a complex interplay of intrinsic and extrinsic fall-risk factors. To identify individual fall risks, it is important to understand the underlying associations.</p><p><strong>Objective: </strong>This study aimed to build an experimental setup modeling selected factors leading to a loss of balance, measured by the margin of stability (MoS) in an ecologically valid real-world example (tripping). Additionally, these analyses aimed to assess the feasibility and safety of the protocol and to explore the use of the MoS as part of a prototypical dynamic fall-risk model to differentiate between fall-risk groups.</p><p><strong>Methods: </strong>Nineteen community-dwelling older adults (mean age of 71, SD 3.67 y; n=7, 37% women) completed the tripping protocol involving perturbations under various conditions. Clinical assessments were used to identify relevant fall-related intrinsic fall-risk factors. MoS was measured using an 8-camera motion capture system. Receiver operating characteristic analyses determined the ability of MoS to distinguish between low and high fall-risk groups.</p><p><strong>Results: </strong>Approximately one-quarter of participants discontinued before or at the start of the tripping scenario because of discomfort or fear of perturbations, indicating that perceived safety is an important feasibility factor. Perturbations significantly disrupted MoS, with a median MoS of -106.05 (IQR -181.40 to -41.50) mm during the perturbed step compared to 114 (IQR 81.20-155.20) mm in the preperturbation step. Recovery steps showed progressive stabilization, with the second recovery step achieving a median MoS of 88.45 (IQR 47.50-137.80) mm. The second recovery step exhibited the highest predictive accuracy for fall-risk differentiation, with area under the curve values reaching 82.3% during slow walking with a series of right-sided perturbations. In contrast, fast walking with random perturbations yielded lower area under the curve values (64.9%). Slow walking conditions generally demonstrated the clearest separation between fall-risk groups.</p><p><strong>Conclusions: </strong>This pilot and feasibility study demonstrates the applicability of a tripping paradigm to perturb MoS in older adults and provides preliminary insights into its association with fall-risk indices. While the protocol proved safe and feasible for fit older adults, perceived safety limited full participation. The findings are exploratory and intended to guide the design of larger prospective studies rather than to establish predictive conclusions. These data suggest that MoS during controlled tripping may help differentiate fall-risk strata, but confirmation will require adequately powered studies in more diverse and frailer older populations-and across multiple real-world scenarios-before any clinical implementation can
背景:跌倒是老年人受伤的主要原因,通常由动态平衡障碍引起。它受到内在和外在跌倒危险因素的复杂相互作用的影响。为了识别个人跌倒风险,了解潜在的关联是很重要的。目的:本研究旨在建立一个实验装置,模拟导致平衡丧失的选定因素,在一个生态有效的现实世界例子(跳闸)中,通过稳定边际(MoS)来测量。此外,这些分析旨在评估该方案的可行性和安全性,并探索将MoS作为典型动态跌倒风险模型的一部分,以区分跌倒风险群体。方法:19名居住在社区的老年人(平均年龄71岁,标准差3.67 y; n=7,其中37%为女性)完成了在不同条件下涉及扰动的绊倒方案。临床评估用于确定与跌倒相关的内在跌倒危险因素。使用8个摄像机运动捕捉系统测量MoS。接受者工作特征分析确定了MoS区分低和高跌倒风险组的能力。结果:大约四分之一的参与者因为不舒服或害怕干扰而在跳闸场景开始之前或开始时停止,这表明感知安全性是一个重要的可行性因素。扰动显著破坏了MoS,在扰动步骤中,MoS的中位数为-106.05 (IQR为-181.40至-41.50)mm,而在扰动前步骤中,MoS的中位数为114 (IQR为81.20-155.20)mm。恢复步骤表现出渐进式稳定,第二次恢复步骤的平均最小误差达到88.45 (IQR 47.50-137.80) mm。第二次恢复步骤对跌倒风险区分的预测精度最高,在缓慢行走时曲线下面积达到82.3%,并伴有一系列右侧扰动。相比之下,随机扰动下的快速行走在曲线值下的面积较小(64.9%)。缓慢行走的情况通常显示出跌倒风险组之间最明显的区别。结论:这项试点和可行性研究证明了绊倒范式在老年人中扰乱MoS的适用性,并提供了其与跌倒风险指数的关联的初步见解。虽然该方案被证明对适合的老年人是安全可行的,但感知到的安全性限制了充分参与。这些发现是探索性的,旨在指导更大规模前瞻性研究的设计,而不是建立预测性结论。这些数据表明,控制跳闸期间的MoS可能有助于区分跌倒风险层,但在考虑任何临床实施之前,还需要在更多样化和更虚弱的老年人中进行充分有力的研究,并跨越多个现实世界的场景。
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引用次数: 0
Identifying the Structure and Elements of Nutritional Guidance Techniques: Cross-Sectional Analytic Hierarchy Study. 确定营养指导技术的结构和要素:横断面层次分析研究。
IF 2 Q3 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-02-05 DOI: 10.2196/83185
Machiko Ukai, Mikiko Kanno, Rui Sudo, Miyako Ogawa, Kazuki Ohashi, Katsuhiko Ogasawara

Background: Registered dietitian nutritionists (RDNs)-referred to as registered dietitians in Japan-contribute to disease management, prevention of complications, and improvement in quality of life through individualized nutritional guidance. However, these techniques often rely on individual experience, leading to variations in quality. The nutrition care process provides a standardized framework for nutritional care, but the specific techniques used in clinical practice and their interrelationships remain unclear. Interpretive structural modeling (ISM) is a method that visualizes and hierarchically organizes interrelationships among multiple elements, making it useful for structuring complex practical skills. Therefore, clarifying the structure of nutritional guidance techniques may support the standardization of practice and the development of educational frameworks.

Objective: This study aimed to identify the elements influencing nutritional guidance techniques in clinical practice, clarify their hierarchical structure using ISM, and explore their potential applicability to the education of registered dietitians.

Methods: Three experienced RDNs participated in an expert panel. Elements influencing nutritional guidance techniques were identified through structured brainstorming and consensus-building sessions. The extracted elements were analyzed using ISM to generate a reachability matrix and derive a hierarchical structure that visualized the interrelationships among the elements.

Results: A total of 14 elements were identified and organized into a 6-level hierarchical structure. The upper levels included nutrition care process-related elements, with the "nutritional intervention plan" positioned at the top, whereas the lower levels consisted of foundational elements such as "clinical knowledge" and "understanding of patient background."

Conclusions: This study identified 14 elements influencing nutritional guidance techniques in clinical practice and systematically visualized their interrelationships as a 6-level hierarchy using ISM. The resulting model provides an initial framework that may inform the development of clinical education curricula and competency evaluation frameworks for RDNs, and it could contribute to the advancement of standardized approaches in nutritional guidance education.

背景:注册营养师营养学家(rdn)-在日本被称为注册营养师-通过个性化营养指导有助于疾病管理,预防并发症和改善生活质量。然而,这些技术往往依赖于个人经验,导致质量的变化。营养护理过程为营养护理提供了一个标准化的框架,但在临床实践中使用的具体技术及其相互关系尚不清楚。解释结构建模(ISM)是一种对多个元素之间的相互关系进行可视化和分层组织的方法,可用于构建复杂的实用技能。因此,澄清营养指导技术的结构可以支持实践的标准化和教育框架的发展。目的:本研究旨在识别影响临床营养指导技术的因素,利用ISM明确其层次结构,并探讨其在注册营养师教育中的潜在适用性。方法:由3名经验丰富的注册护士组成专家小组。通过有组织的头脑风暴和建立共识会议确定了影响营养指导技术的因素。使用ISM对提取的元素进行分析,生成可达性矩阵,并推导出可视化元素之间相互关系的层次结构。结果:共识别出14个要素,并将其组织成6级层次结构。较高的层次包括营养护理过程相关的要素,其中“营养干预计划”位于顶部,而较低的层次包括“临床知识”和“对患者背景的了解”等基础要素。结论:本研究确定了临床实践中影响营养指导技术的14个因素,并使用ISM系统地将其相互关系可视化为6级层次。该模型提供了一个初步的框架,可以为rdn临床教育课程和能力评估框架的发展提供信息,并有助于促进营养指导教育的标准化方法。
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引用次数: 0
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