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Effectiveness of Al-Assisted Patient Health Education Using Voice Cloning and ChatGPT: Prospective Randomized Controlled Trial. 使用语音克隆和ChatGPT进行人工智能辅助患者健康教育的有效性:前瞻性随机对照试验
IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-03-19 DOI: 10.2196/81387
Yan Sun, Shangqing Xu, Hongying Jin, Xiaoyan Han, Kangqi Jin, Yimei Zhang, Xiaoli Ma, Huaping Wei, Minjie Ma
<p><strong>Background: </strong>Traditional patient education often lacks personalization and engagement, potentially limiting knowledge acquisition and treatment adherence. Advances in artificial intelligence (AI), including voice cloning technology and large language models (eg, ChatGPT), offer new opportunities to deliver personalized, scalable, interactive health education. However, evidence regarding the comparative effectiveness of different AI-based voice cloning strategies and reliability of automated AI evaluation tools remains limited.</p><p><strong>Objective: </strong>This study aims to evaluate the effectiveness of AI-assisted patient education integrating voice cloning and ChatGPT, compare physician voice cloning with patient self-voice cloning, and assess the reliability of ChatGPT as an automated evaluation tool for education outcomes.</p><p><strong>Methods: </strong>In this prospective, 3-arm, parallel-group randomized controlled trial, 180 hospitalized patients requiring standardized health education were recruited from a tertiary hospital. Inclusion criteria were age ≥18 years, clear diagnosis requiring health education, clear consciousness, and voluntary participation with informed consent. Exclusion criteria were severe hearing impairment, severe cognitive impairment, expected hospitalization <3 days, or prior participation in similar studies. Using a computer-generated random sequence, participants were randomly assigned (1:1:1) to receive traditional education (control), AI-assisted education using physician voice cloning, or AI-assisted education using patient self-voice cloning, each with identical educational content of equal duration. The primary outcome was education content compliance, evaluated using ChatGPT-4 with validated prompts and verified by expert review. Secondary outcomes included knowledge retention, education satisfaction, treatment adherence, quality of life, and psychological status. Outcome assessors and data analysts, but not participants, were blinded to group allocation.</p><p><strong>Results: </strong>Of 180 randomized participants, 174 (96.7%) completed the trial. Both AI-assisted groups had significantly higher mean education content compliance scores immediately posteducation than the control group (physician voice: 86.7, SD 7.3; self-voice: 92.5, SD 6.8; control: 73.2, SD 8.5; P<.001). The patient self-voice group showed superior predischarge knowledge retention, higher education satisfaction, and greater treatment adherence than the other groups (all P≤.02). At the 1-month follow-up, the self-voice group maintained improved adherence (Cohen d=0.74) and had significantly lower anxiety and depression scores (all P≤.02) and improved SF-36 quality-of-life domains. ChatGPT-based evaluations demonstrated high reliability (weighted κ=0.87, 95% CI 0.82-0.91).</p><p><strong>Conclusions: </strong>The innovative patient education model integrating AI voice cloning and ChatGPT is distinct from previous stu
背景:传统的患者教育往往缺乏个性化和参与性,潜在地限制了知识获取和治疗依从性。人工智能(AI)的进步,包括语音克隆技术和大型语言模型(例如ChatGPT),为提供个性化、可扩展、互动的健康教育提供了新的机会。然而,关于不同的基于人工智能的语音克隆策略的比较有效性和自动化人工智能评估工具的可靠性的证据仍然有限。目的:本研究旨在评估整合语音克隆和ChatGPT的人工智能辅助患者教育的有效性,比较医生语音克隆和患者自我语音克隆,并评估ChatGPT作为教育结果自动评估工具的可靠性。方法:采用前瞻性、三组、平行组随机对照试验,从某三级医院招募需要规范化健康教育的住院患者180例。纳入标准为年龄≥18岁,明确诊断需要健康教育,意识清晰,知情同意自愿参与。排除标准为严重听力障碍、严重认知障碍、预期住院。结果:180名随机受试者中,174名(96.7%)完成了试验。两个人工智能辅助组在教育结束后的平均教育内容依从性得分均显著高于对照组(医生语音:86.7,SD 7.3;自我语音:92.5,SD 6.8;对照组:73.2,SD 8.5)。结论:整合人工智能语音克隆和ChatGPT的创新患者教育模型不同于以往主要依赖标准文本到语音或专业录制内容的研究。利用患者自己的克隆声音进行健康教育,利用自我参照效应来提高学习效果。与使用临床医生叙述内容的研究相比,本研究强调自我声音教育在包括依从性、满意度和心理健康在内的多个领域产生了更好的结果。这些发现为个性化人工智能驱动的患者教育建立了理论和实践框架。在现实世界的临床环境中,这种方法提供了一种可扩展的、具有成本效益的解决方案,以提高患者的参与度,特别是在资源有限的环境中,个性化教育是具有挑战性的。
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引用次数: 0
Association Between Short-Form Video Use and Mental Health: Systematic Review and Meta-Analysis. 短视频使用与心理健康的关系:系统回顾和荟萃分析。
IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-03-18 DOI: 10.2196/82503
Di Tang, Xin Zhang, Pengpeng Gou, Jie Feng, Rui Hu, Kim-Wai Raymond Sum
<p><strong>Background: </strong>Short-form videos (SFVs) have emerged as a dominant trend in digital content sharing over the past decade, gaining rapid global popularity. An increasing number of studies have explored the association between SFV use and mental health, yet current empirical evidence remains inconsistent.</p><p><strong>Objective: </strong>This study aimed to provide a comprehensive synthesis examining the relationship between SFV usage and mental health outcomes, distinguishing between problematic and routine usage behaviors.</p><p><strong>Methods: </strong>Web of Science, PubMed, Scopus, Embase, PsycInfo, SportDiscus, and ProQuest were searched for relevant literature up to January 3, 2026. Statistical metrics reflecting the relationship between SFV use and mental health outcome indicators were extracted for meta-analysis, such as Pearson correlation coefficients, Spearman's rank correlation coefficients, and β coefficients. For intervention and longitudinal studies, we extracted the baseline correlation coefficients. The Joanna Briggs Institute Critical Appraisal Checklist was used to assess the risk of bias.</p><p><strong>Results: </strong>A total of 58 studies, with a cumulative sample of 96,676 participants, were included in the analysis. Results showed no significant correlations between SFV use and positive psychological states, but significant positive correlations with negative psychological states, including depression (r=0.24, 95% CI 0.15-0.33), anxiety (r=0.26, 95% CI 0.17-0.35), stress (r=0.41, 95% CI 0.38-0.56), negative affect (r=0.22, 95% CI 0.10.33), loneliness (r=0.33, 95% CI 0.25-0.41), and boredom (r=0.42, 95% CI 0.29-0.53). Subgroup analyses revealed substantial differences between usage patterns: problematic use demonstrated significant negative associations with subjective well-being (r=-0.25, 95% CI -0.35 to -0.14) and positive correlations with adverse mental health outcomes, while routine usage showed no significant associations with negative affect and exhibited a negative but nonsignificant correlation with anxiety (r=-0.02, 95% CI -0.18 to 0.14). Additionally, while some studies reported significant associations between routine SFV use (time spent or frequency) and mental health outcomes, these findings were less consistent and showed smaller effect sizes compared to the more robust correlations found with problematic use measures. This suggests that the relationship between time spent on SFV and mental health may be less stable than that of problematic use patterns, highlighting the importance of considering qualitative aspects of usage rather than merely quantitative metrics.</p><p><strong>Conclusions: </strong>This meta-analysis suggests that SFV use is associated with adverse mental health outcomes. Future research should use objective measurement instruments to capture contemporary SFV usage patterns and differentiate between distinct types of engagement. Additionally, studies with greater geograph
背景:在过去的十年中,短视频(sfv)已经成为数字内容共享的主导趋势,在全球范围内迅速流行。越来越多的研究已经探讨了SFV使用与心理健康之间的关系,但目前的经验证据仍然不一致。目的:本研究旨在提供一个全面的综合研究SFV使用与心理健康结果之间的关系,区分问题行为和常规使用行为。方法:检索截至2026年1月3日的Web of Science、PubMed、Scopus、Embase、PsycInfo、SportDiscus、ProQuest等相关文献。提取反映SFV使用与心理健康结局指标之间关系的统计指标进行meta分析,如Pearson相关系数、Spearman等级相关系数和β系数。对于干预和纵向研究,我们提取了基线相关系数。使用乔安娜布里格斯研究所批判性评估清单来评估偏倚风险。结果:共有58项研究,96,676名参与者的累积样本被纳入分析。结果显示,SFV使用与积极心理状态无显著相关,但与消极心理状态有显著正相关,包括抑郁(r=0.24, 95% CI 0.15 ~ 0.33)、焦虑(r=0.26, 95% CI 0.17 ~ 0.35)、压力(r=0.41, 95% CI 0.38 ~ 0.56)、消极情绪(r=0.22, 95% CI 0.10.33)、孤独(r=0.33, 95% CI 0.25 ~ 0.41)、无聊(r=0.42, 95% CI 0.29 ~ 0.53)。亚组分析揭示了使用模式之间的实质性差异:问题使用与主观幸福感呈显著负相关(r=-0.25, 95% CI -0.35至-0.14),与不良心理健康结果呈正相关,而常规使用与负面情绪无显著相关,与焦虑呈负相关,但不显著(r=-0.02, 95% CI -0.18至0.14)。此外,虽然一些研究报告了常规SFV使用(花费的时间或频率)与心理健康结果之间的显着关联,但这些研究结果不太一致,而且与问题使用措施发现的更强的相关性相比,这些研究结果显示的效应规模较小。这表明,在SFV上花费的时间与心理健康之间的关系可能不如有问题的使用模式之间的关系稳定,突出了考虑使用的定性方面而不仅仅是定量指标的重要性。结论:本荟萃分析表明,SFV的使用与不良心理健康结果相关。未来的研究应该使用客观的测量工具来捕捉当代的SFV使用模式,并区分不同类型的参与。此外,需要具有更大地理多样性和纵向或实验设计的研究来确定因果关系并检查这些关联的时间变化。
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引用次数: 0
Effects of Wearable Devices on Parkinson Disease: Systematic Review and Meta-Analysis of Randomized Controlled Trials Within the International Classification of Functioning, Disability, and Health Framework. 可穿戴设备对帕金森病的影响:国际功能、残疾和健康分类框架内随机对照试验的系统回顾和荟萃分析
IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-03-18 DOI: 10.2196/85914
Jiarong Wu, Wanli Zang, Mingqing Fang, Ningkun Xiao, Xianzuo Zhang, Su Wang, Qiuxia Zhang
<p><strong>Background: </strong>Parkinson disease (PD) impairs gait, balance, and quality of life, and wearable devices have been proposed to support rehabilitation, but evidence for their clinical efficacy remains uncertain.</p><p><strong>Objective: </strong>This study aimed to evaluate, within the International Classification of Functioning, Disability, and Health (ICF) framework, the effects of wearable-device interventions on gait performance, balance, and health-related quality of life in people with PD by conducting a systematic review and meta-analysis of randomized controlled trials (RCTs).</p><p><strong>Methods: </strong>We searched PubMed, Web of Science, Cochrane Library, Embase, and ClinicalTrials.gov from inception to November 18, 2025, for RCTs in people with PD comparing wearable-device interventions with control conditions. We used Hartung-Knapp random-effects models to pool mean differences (MDs) or standardized mean differences (SMDs) and reported 95% prediction intervals when ≥3 studies were pooled. Risk of bias was assessed using the Cochrane Risk of Bias (RoB) tool, and certainty of evidence was rated using Grading of Recommendations Assessment, Development, and Evaluation (GRADE).</p><p><strong>Results: </strong>Nine RCTs involving 260 participants were included. Wearable devices produced a small improvement in stride length (MD 0.10 meter, 95% CI 0.03-0.17), but there was no clear benefit for the 10-Meter Walk Test time (MD 0.04 second, 95% CI -0.06 to 0.15). Double support time showed no reduction (MD -1.59% gait cycle, 95% CI -3.79 to 0.61). Freezing of gait (Freezing of Gait Questionnaire [FOG-Q] and New Freezing of Gait Questionnaire [NFOG-Q]) did not significantly improve (SMD -0.24, 95% CI -0.72 to 0.24). Motor severity (Unified Parkinson Disease Rating Scale Part III [UPDRS III]) showed a small, nonsignificant trend favoring wearable devices (MD -2.16 points, 95% CI -4.39 to 0.07). For balance, pooled results from the Berg Balance Scale (BBS), Mini Balance Evaluation Systems Test (Mini-BESTest), and Performance-Oriented Mobility Assessment Balance Subscale (POMA balance) suggested a borderline effect (SMD 0.48, 95% CI -0.02 to 0.98). Wearable devices did not meaningfully improve Parkinson Disease Questionnaire (PDQ) scores (SMD -0.28, 95% CI -0.74 to 0.17), EQ-5D utility (MD 0.10, 95% CI -0.24 to 0.44), or Falls Efficacy Scale-International (FES-I) scores (MD -0.04, 95% CI -1.10 to 1.02). Prediction intervals frequently crossed the null, suggesting effects may vary by setting and population.</p><p><strong>Conclusions: </strong>Wearable device interventions for Parkinson disease produced a small improvement on average in stride length, with no consistent benefits for other gait outcomes, balance, or patient-centered outcomes. By integrating ICF mapping with Hartung-Knapp meta-analysis, prediction intervals, and GRADE, and avoiding pooling of conceptually distinct gait measures used in prior reviews, this review clarif
背景:帕金森病(PD)损害步态、平衡和生活质量,可穿戴设备已被提出支持康复,但其临床疗效的证据仍不确定。目的:本研究旨在通过对随机对照试验(RCTs)进行系统回顾和荟萃分析,在国际功能、残疾和健康分类(ICF)框架下,评估可穿戴设备干预对PD患者步态表现、平衡和健康相关生活质量的影响。方法:我们检索了PubMed, Web of Science, Cochrane Library, Embase和ClinicalTrials.gov,从成立到2025年11月18日,在PD患者中比较可穿戴设备干预与对照条件的随机对照试验。我们使用Hartung-Knapp随机效应模型来汇总平均差异(MDs)或标准化平均差异(SMDs),并在汇总≥3项研究时报告95%的预测区间。使用Cochrane偏倚风险(RoB)工具评估偏倚风险,使用推荐评估、发展和评价分级(GRADE)评估证据的确定性。结果:纳入9项随机对照试验,共260名受试者。可穿戴设备在步幅长度上有小幅改善(MD 0.10米,95% CI 0.03-0.17),但在10米步行测试时间上没有明显的改善(MD 0.04秒,95% CI -0.06 - 0.15)。双支撑时间没有减少(MD -1.59%, 95% CI -3.79 ~ 0.61)。步态冻结(步态冻结问卷[fogg - q]和新步态冻结问卷[nfogg - q])没有显著改善(SMD -0.24, 95% CI -0.72 ~ 0.24)。运动严重程度(统一帕金森病评定量表第三部分[UPDRS III])显示出有利于可穿戴设备的小而不显著的趋势(MD -2.16分,95% CI -4.39至0.07)。在平衡方面,Berg平衡量表(BBS)、Mini平衡评估系统测试(Mini- best)和绩效导向流动性评估平衡子量表(POMA平衡)的汇总结果表明存在边缘效应(SMD 0.48, 95% CI -0.02至0.98)。可穿戴设备并没有显著改善帕金森病问卷(PDQ)评分(SMD -0.28, 95% CI -0.74至0.17)、EQ-5D效用(MD - 0.10, 95% CI -0.24至0.44)或跌倒疗效量表-国际(FES-I)评分(MD -0.04, 95% CI -1.10至1.02)。预测间隔经常越过零值,表明效果可能因设置和人口而异。结论:可穿戴设备对帕金森病的干预在平均步幅上产生了微小的改善,但在其他步态结果、平衡或以患者为中心的结果方面没有一致的益处。通过将ICF映射与Hartung-Knapp荟萃分析、预测区间和GRADE相结合,并避免在先前的综述中使用概念上不同的步态测量,本综述澄清了证据最一致的地方,支持使用可穿戴设备作为康复辅助手段,并强调需要更大、更长的随机对照试验,以确定谁受益以及如何实施它们。试验注册:PROSPERO CRD42024585686;https://www.crd.york.ac.uk/PROSPERO/view/CRD42024585686。
{"title":"Effects of Wearable Devices on Parkinson Disease: Systematic Review and Meta-Analysis of Randomized Controlled Trials Within the International Classification of Functioning, Disability, and Health Framework.","authors":"Jiarong Wu, Wanli Zang, Mingqing Fang, Ningkun Xiao, Xianzuo Zhang, Su Wang, Qiuxia Zhang","doi":"10.2196/85914","DOIUrl":"https://doi.org/10.2196/85914","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Parkinson disease (PD) impairs gait, balance, and quality of life, and wearable devices have been proposed to support rehabilitation, but evidence for their clinical efficacy remains uncertain.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This study aimed to evaluate, within the International Classification of Functioning, Disability, and Health (ICF) framework, the effects of wearable-device interventions on gait performance, balance, and health-related quality of life in people with PD by conducting a systematic review and meta-analysis of randomized controlled trials (RCTs).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;We searched PubMed, Web of Science, Cochrane Library, Embase, and ClinicalTrials.gov from inception to November 18, 2025, for RCTs in people with PD comparing wearable-device interventions with control conditions. We used Hartung-Knapp random-effects models to pool mean differences (MDs) or standardized mean differences (SMDs) and reported 95% prediction intervals when ≥3 studies were pooled. Risk of bias was assessed using the Cochrane Risk of Bias (RoB) tool, and certainty of evidence was rated using Grading of Recommendations Assessment, Development, and Evaluation (GRADE).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Nine RCTs involving 260 participants were included. Wearable devices produced a small improvement in stride length (MD 0.10 meter, 95% CI 0.03-0.17), but there was no clear benefit for the 10-Meter Walk Test time (MD 0.04 second, 95% CI -0.06 to 0.15). Double support time showed no reduction (MD -1.59% gait cycle, 95% CI -3.79 to 0.61). Freezing of gait (Freezing of Gait Questionnaire [FOG-Q] and New Freezing of Gait Questionnaire [NFOG-Q]) did not significantly improve (SMD -0.24, 95% CI -0.72 to 0.24). Motor severity (Unified Parkinson Disease Rating Scale Part III [UPDRS III]) showed a small, nonsignificant trend favoring wearable devices (MD -2.16 points, 95% CI -4.39 to 0.07). For balance, pooled results from the Berg Balance Scale (BBS), Mini Balance Evaluation Systems Test (Mini-BESTest), and Performance-Oriented Mobility Assessment Balance Subscale (POMA balance) suggested a borderline effect (SMD 0.48, 95% CI -0.02 to 0.98). Wearable devices did not meaningfully improve Parkinson Disease Questionnaire (PDQ) scores (SMD -0.28, 95% CI -0.74 to 0.17), EQ-5D utility (MD 0.10, 95% CI -0.24 to 0.44), or Falls Efficacy Scale-International (FES-I) scores (MD -0.04, 95% CI -1.10 to 1.02). Prediction intervals frequently crossed the null, suggesting effects may vary by setting and population.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;Wearable device interventions for Parkinson disease produced a small improvement on average in stride length, with no consistent benefits for other gait outcomes, balance, or patient-centered outcomes. By integrating ICF mapping with Hartung-Knapp meta-analysis, prediction intervals, and GRADE, and avoiding pooling of conceptually distinct gait measures used in prior reviews, this review clarif","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"28 ","pages":"e85914"},"PeriodicalIF":6.0,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147480939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Telehealth Approaches for Pediatric Otitis Media and Clinical Outcomes: Scoping Review. 儿童中耳炎的远程医疗方法和临床结果:范围审查。
IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-03-18 DOI: 10.2196/85416
Masao Noda, Ryohei Akiyoshi, Makoto Hosoya, Chikako Shinkawa, Ryota Koshu, Hidekane Yoshimura, Yukifumi Monden, Hiroaki Fushiki, Yasuhiro Tanaka, Makoto Ito
<p><strong>Background: </strong>Otitis media (OM) is a common pediatric infection worldwide. Conventionally, accurate diagnosis depends on in-person pneumatic otoscopy, which is not always accessible, contributing to delayed care and inappropriate prescribing, especially in underserved settings. Rapid advances in telemedicine and digital tools have accelerated the development of remote approaches for assessing pediatric ear diseases, while diagnostic quality maintenance, care models, and real-world outcomes have not been comprehensively mapped in children.</p><p><strong>Objective: </strong>This study aimed to map existing telehealth technologies and operational models used for pediatric OM and report their diagnostic and implementation outcomes to guide practice and further research.</p><p><strong>Methods: </strong>PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guided this scoping review (protocol not registered). MEDLINE (via PubMed), Scopus, Web of Science, and the Cochrane Central Register of Controlled Trials were searched for original English-language studies (published between January 1, 2010, and February 9, 2026) reporting the clinical implementation of telemedicine or digital health in children (<18 years) with suspected or confirmed OM. We excluded reviews, editorials, and protocols; conference abstracts; adult-only studies; and purely technical evaluations. Two reviewers independently extracted and charted the study characteristics: telemedicine model, technology, users, comparators, outcomes, and limitations. Findings were synthesized using practice-oriented mapping that aligned technologies with care models and implementation conditions.</p><p><strong>Results: </strong>Fifty-two studies across 18 countries and various settings met the inclusion criteria. Sample sizes ranged from 6 to 3950, with heterogeneous reporting units (children, ears, episodes, or screening assessments). Asynchronous store-and-forward tele-otoscopy was the most common approach. The rest used synchronous or hybrid models. Image capture by trained personnel and review by experienced clinicians yielded substantial diagnostic consistency with in-person microscopy (κ 0.68-0.89, sensitivity 72%-94%, specificity 93%-98%, where available). However, the diagnostic yield was highly dependent on the training level: structured instruction improved video capture by parents and nonspecialists, whereas brief or written-only guidance resulted in low rates of diagnostically useful videos. Telemedicine approaches improved access, supported perioperative follow-up, and, in some contexts, reduced reexaminations and promoted more judicious antibiotic use. Televisits without otoscopy were associated with lower confirmation rates of middle ear effusion during tympanostomy tube placement. Evidence was heterogeneous, with predominantly small single-site studies, variable reference standards and operator training, and rapidl
背景:中耳炎是一种常见的儿科感染。传统上,准确的诊断依赖于面对面的气动耳镜检查,而这种检查并不总是能够获得,从而导致延误护理和不适当的处方,特别是在服务不足的环境中。远程医疗和数字工具的快速发展加速了评估儿童耳部疾病的远程方法的发展,而诊断质量维护、护理模式和现实世界的结果尚未在儿童中得到全面的映射。目的:本研究旨在绘制儿科OM现有远程医疗技术和操作模式,并报告其诊断和实施结果,以指导实践和进一步研究。方法:PRISMA-ScR(系统评价和荟萃分析扩展范围评价的首选报告项目)指导了本次范围评价(方案未注册)。我们检索了MEDLINE(通过PubMed)、Scopus、Web of Science和Cochrane Central Register of Controlled Trials,检索了2010年1月1日至2026年2月9日期间发表的关于儿童远程医疗或数字健康临床实施的原始英语研究(结果:来自18个国家和不同环境的52项研究符合纳入标准)。样本量从6个到3950个不等,报告单位不同(儿童、耳朵、发作或筛查评估)。异步存储转发远程耳镜是最常见的方法。其余的使用同步或混合模型。经过培训的人员进行图像采集,并由经验丰富的临床医生进行复查,结果与现场显微镜的诊断结果基本一致(κ 0.68-0.89,灵敏度72%-94%,特异性93%-98%,如有可能)。然而,诊断率高度依赖于培训水平:结构化的指导提高了家长和非专业人员的视频捕获,而简短或仅书面指导导致诊断有用视频的低比率。远程医疗方法改善了可及性,支持围手术期随访,并在某些情况下减少了复查,促进了更明智的抗生素使用。看电视而不做耳镜检查与中耳积液的确认率较低有关。证据是异构的,主要是小型单点研究,不同的参考标准和操作人员培训,以及快速发展的设备生态系统。结论:本综述为儿科OM的远程医疗方法提供了一个以实践为导向的地图。远程耳镜检查和辅助数字工具是可行的,可实现与现场评估相当的诊断准确性,同时提高可及性和服务效率。然而,重要的证据差距仍然存在,包括需要大型多地点试验,评估长期儿童结果,经济评估以及基于人工智能的诊断工具的强大外部验证。为了扩大规模,应优先考虑图像捕获协议的标准化和集成到混合护理模式中。
{"title":"Telehealth Approaches for Pediatric Otitis Media and Clinical Outcomes: Scoping Review.","authors":"Masao Noda, Ryohei Akiyoshi, Makoto Hosoya, Chikako Shinkawa, Ryota Koshu, Hidekane Yoshimura, Yukifumi Monden, Hiroaki Fushiki, Yasuhiro Tanaka, Makoto Ito","doi":"10.2196/85416","DOIUrl":"10.2196/85416","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Otitis media (OM) is a common pediatric infection worldwide. Conventionally, accurate diagnosis depends on in-person pneumatic otoscopy, which is not always accessible, contributing to delayed care and inappropriate prescribing, especially in underserved settings. Rapid advances in telemedicine and digital tools have accelerated the development of remote approaches for assessing pediatric ear diseases, while diagnostic quality maintenance, care models, and real-world outcomes have not been comprehensively mapped in children.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This study aimed to map existing telehealth technologies and operational models used for pediatric OM and report their diagnostic and implementation outcomes to guide practice and further research.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guided this scoping review (protocol not registered). MEDLINE (via PubMed), Scopus, Web of Science, and the Cochrane Central Register of Controlled Trials were searched for original English-language studies (published between January 1, 2010, and February 9, 2026) reporting the clinical implementation of telemedicine or digital health in children (&lt;18 years) with suspected or confirmed OM. We excluded reviews, editorials, and protocols; conference abstracts; adult-only studies; and purely technical evaluations. Two reviewers independently extracted and charted the study characteristics: telemedicine model, technology, users, comparators, outcomes, and limitations. Findings were synthesized using practice-oriented mapping that aligned technologies with care models and implementation conditions.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Fifty-two studies across 18 countries and various settings met the inclusion criteria. Sample sizes ranged from 6 to 3950, with heterogeneous reporting units (children, ears, episodes, or screening assessments). Asynchronous store-and-forward tele-otoscopy was the most common approach. The rest used synchronous or hybrid models. Image capture by trained personnel and review by experienced clinicians yielded substantial diagnostic consistency with in-person microscopy (κ 0.68-0.89, sensitivity 72%-94%, specificity 93%-98%, where available). However, the diagnostic yield was highly dependent on the training level: structured instruction improved video capture by parents and nonspecialists, whereas brief or written-only guidance resulted in low rates of diagnostically useful videos. Telemedicine approaches improved access, supported perioperative follow-up, and, in some contexts, reduced reexaminations and promoted more judicious antibiotic use. Televisits without otoscopy were associated with lower confirmation rates of middle ear effusion during tympanostomy tube placement. Evidence was heterogeneous, with predominantly small single-site studies, variable reference standards and operator training, and rapidl","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"28 ","pages":"e85416"},"PeriodicalIF":6.0,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12999227/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147480886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Telehealth Use and Modality Choice Among US Adults: Shorrocks-Shapley Decomposition of a 2022 Cross-Sectional National Survey. 美国成年人的远程医疗使用和模式选择:2022年全国横断面调查的Shorrocks-Shapley分解。
IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-03-18 DOI: 10.2196/81879
Corneliu Bolbocean, Corey Hayes, Cari Bogulski
<p><strong>Background: </strong>Telehealth use surged during the COVID-19 pandemic and has stabilized at levels substantially above prepandemic baselines. However, concerns persist that the digital divide may reproduce or widen disparities in access. Understanding the determinants of telehealth use-and particularly modality choice between video and audio-is essential for designing policies that promote equitable access in the post-public health emergency era.</p><p><strong>Objective: </strong>This study aims to identify determinants of telehealth use and modality among US adults in 2022 and quantify the relative contributions of digital, geographic, clinical, and socioeconomic domains.</p><p><strong>Methods: </strong>We conducted a cross-sectional secondary analysis of the sixth cycle of the Health Information National Trends Survey, administered in 2022 by the National Cancer Institute, a nationally representative, 2-stage stratified random probability survey of civilian, noninstitutionalized US adults aged 18 years or older. Sampled households were recruited via mailed invitations, and 1 adult per household was randomly selected using the next birthday method and invited to complete a self-administered questionnaire between February 2022 and November 2022 (N=6252). The primary analytic sample included respondents with nonmissing telehealth modality responses (n=6046, 59.4% female; mean age of 55.1 y). Individual-level data were linked to county-level American Community Survey socioeconomic indicators and broadband availability measures. The primary outcome was telehealth use, categorized as video (n=1641, 27.2%; 95% CI 25.5%-29.1%), audio-only (n=876, 12.1%; 95% CI 10.9%-13.4%), or none (n=3529, 60.7%; 95% CI 58.6%-62.7%). We estimated 4 binary contrasts using survey-weighted linear probability models with jackknife variance estimation, reporting absolute risk differences in percentage points (pp) with 95% CIs. We applied Shorrocks-Shapley decomposition to quantify each predictor domain's contribution to explained variance.</p><p><strong>Results: </strong>Nationally, 39.3% (n=2517; 95% CI 37.3%-41.4%) reported any telehealth use in the past 12 months. In survey-weighted linear probability models (α=.05), significant predictors of any telehealth vs none included: male sex (-9.7 pp, 95% CI -14.0 to -5.4), disability status (+22.5 pp, 95% CI 16.1-28.8), and health app use (+18.4 pp, 95% CI 12.0-24.8). For video vs audio-only telehealth, insurance coverage increased video use (+21.2 pp, 95% CI 13.0-29.3), while basic cell phone only (vs smartphone) decreased video use (-20.1 pp, 95% CI -33.5 to -6.8). Shorrocks-Shapley decomposition revealed that digital access and eHealth behaviors explained 40.4% of variance in video vs audio choice and 33.4% of video vs none; geography explained 40.5% of audio vs none; digital factors (25.7%), geography (19.7%), and health status and needs (15.5%) all contributed substantially to any vs none.</p><p><strong>Concl
背景:在2019冠状病毒病大流行期间,远程医疗使用激增,目前已稳定在远高于大流行前基线的水平。然而,人们仍然担心,数字鸿沟可能会再现或扩大接入方面的差距。了解远程医疗使用的决定因素,特别是视频和音频之间的模式选择,对于制定促进在突发公共卫生事件后时代公平获取的政策至关重要。目的:本研究旨在确定2022年美国成年人远程医疗使用和模式的决定因素,并量化数字、地理、临床和社会经济领域的相对贡献。方法:我们对健康信息国家趋势调查的第六周期进行了横断面二次分析,该调查于2022年由国家癌症研究所进行,这是一项具有全国代表性的两阶段分层随机概率调查,调查对象是18岁或以上的美国平民,非机构成年人。通过邮件邀请的方式招募样本家庭,并使用下一个生日的方法随机选择每个家庭1名成年人,并邀请他们在2022年2月至2022年11月期间完成一份自我管理的问卷(N=6252)。主要分析样本包括未遗漏的远程医疗模式应答者(n=6046, 59.4%为女性,平均年龄55.1岁)。个人层面的数据与县级美国社区调查社会经济指标和宽带可用性措施相关联。主要结局是远程医疗的使用,分为视频(n=1641, 27.2%; 95% CI 25.5%-29.1%)、纯音频(n=876, 12.1%; 95% CI 10.9%-13.4%)和无音频(n=3529, 60.7%; 95% CI 58.6%-62.7%)。我们使用调查加权线性概率模型和折刀方差估计估计了4个二元对比,报告了95% ci的绝对风险差异百分比(pp)。我们应用Shorrocks-Shapley分解来量化每个预测域对解释方差的贡献。结果:在全国范围内,39.3% (n=2517; 95% CI 37.3%-41.4%)报告在过去12个月内使用过远程医疗。在调查加权线性概率模型(α= 0.05)中,任何远程医疗与无远程医疗的显著预测因素包括:男性性别(-9.7 pp, 95% CI -14.0至-5.4)、残疾状态(+22.5 pp, 95% CI 16.1-28.8)和健康应用程序使用(+18.4 pp, 95% CI 12.0-24.8)。对于视频与音频远程医疗,保险覆盖范围增加了视频使用(+21.2 pp, 95%可信区间13.0-29.3),而仅使用基本手机(与智能手机相比)减少了视频使用(-20.1 pp, 95%可信区间-33.5至-6.8)。Shorrocks-Shapley分解显示,数字访问和电子健康行为解释了视频和音频选择中40.4%的差异,以及视频和无视频之间33.4%的差异;40.5%的音频与地理相关;数字因素(25.7%)、地理位置(19.7%)以及健康状况和需求(15.5%)都对“有”对“无”的影响很大。结论:与传统的社会人口因素相比,数字获取和电子健康行为共同解释了更多的模式选择差异。远程医疗的接受反映了数字因素、地理位置和临床需求的结合,而视频模式具体取决于数字化准备情况。将持续的保险覆盖与设备接入、可负担的高速连接和数字扫盲培训方面的有针对性投资相结合的干预措施最有可能缩小持续存在的远程医疗差距。
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引用次数: 0
Artificial Intelligence for Predicting Treatment Response in Patients With Anxiety Disorders After Cognitive Behavioral Therapy: Systematic Review and Meta-Analysis. 人工智能预测焦虑症患者认知行为治疗后的治疗反应:系统回顾和荟萃分析。
IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-03-18 DOI: 10.2196/86079
Jiawen Liu, Junhui Wang, Zhaobin Wu, Mohamad Ibrani Shahrimin Bin Adam Assim
<p><strong>Background: </strong>Artificial intelligence (AI) models have been increasingly explored for predicting treatment response to cognitive behavioral therapy (CBT) in patients with anxiety disorders. Identifying potential responders in advance may help inform treatment planning and support clinical decision-making. Although a growing number of studies have applied AI techniques in this context, reported performance estimates vary across studies, and the overall predictive accuracy has not been comprehensively quantified.</p><p><strong>Objective: </strong>This systematic review and meta-analysis aims to quantify the overall performance of AI models in predicting treatment response following CBT for anxiety disorders and to examine how data sources, algorithmic approaches, and diagnostic subtypes influence predictive performance.</p><p><strong>Methods: </strong>A systematic literature search was conducted in PubMed, Embase, Web of Science, Cochrane Library, and PsycINFO up to August 2025. We included studies that validated AI models for predicting CBT treatment response (remission or response) in patients diagnosed with an anxiety disorder. The risk of bias was assessed using the PROBAST+AI (Prediction Model Risk of Bias Assessment Tool for Artificial Intelligence) tool. Predictive performance metrics, including sensitivity, specificity, accuracy, and area under the curve (AUC), were extracted and pooled. Pooled estimates for sensitivity, specificity, and diagnostic accuracy were derived using the Restricted Maximum Likelihood estimator, with CIs adjusted via the Hartung-Knapp-Sidik-Jonkman method. Prediction intervals were calculated and reported alongside these pooled estimates to illustrate the expected distribution of effects in real-world settings.</p><p><strong>Results: </strong>Eleven studies were included in the meta-analysis. The pooled sensitivity of AI-based models for predicting treatment response was 0.73 (95% CI 0.58-0.85; I²=82.8%), and the pooled specificity was 0.75 (95% CI 0.59-0.89; I²=96.7%). The overall pooled accuracy was 0.74 (95% CI 0.62-0.84; I²=94.6%). The summary AUC was 0.81 (95% CI 0.78-0.85), indicating moderate discriminative performance. Subgroup analyses showed that models incorporating multimodal data achieved superior predictive performance, with a pooled sensitivity of 0.84 and an accuracy of 0.82. In addition, predictive performance was the highest in patients with social anxiety disorder compared with other anxiety disorder subtypes.</p><p><strong>Conclusions: </strong>This meta-analysis quantitatively synthesized AI performance in predicting CBT response for anxiety disorders, moving beyond narrative reviews to provide pooled evidence. In contrast to existing reviews that encompass broader diagnostic groups, our focused approach establishes a precise benchmark for this clinical domain, highlighting the current moderate overall performance. Furthermore, we extend beyond previous work by demonstrating th
背景:人工智能(AI)模型被越来越多地用于预测焦虑症患者对认知行为疗法(CBT)的治疗反应。提前识别潜在的应答者可能有助于告知治疗计划和支持临床决策。尽管越来越多的研究在这方面应用了人工智能技术,但报告的性能估计在不同的研究中有所不同,而且总体预测准确性尚未得到全面量化。目的:本系统综述和荟萃分析旨在量化AI模型在预测焦虑症CBT治疗反应方面的总体表现,并研究数据源、算法方法和诊断亚型如何影响预测表现。方法:系统检索截至2025年8月PubMed、Embase、Web of Science、Cochrane Library、PsycINFO等数据库的文献。我们纳入了验证AI模型预测焦虑症患者CBT治疗反应(缓解或反应)的研究。使用PROBAST+AI(人工智能预测模型偏倚风险评估工具)工具评估偏倚风险。提取并汇总预测性能指标,包括敏感性、特异性、准确性和曲线下面积(AUC)。敏感性、特异性和诊断准确性的汇总估计使用限制最大似然估计器,并通过hartung - knap - sidik - jonkman方法调整CIs。与这些汇总估计一起计算和报告预测区间,以说明实际环境中效应的预期分布。结果:11项研究被纳入meta分析。人工智能模型预测治疗反应的综合敏感性为0.73 (95% CI 0.58-0.85; I²=82.8%),综合特异性为0.75 (95% CI 0.59-0.89; I²=96.7%)。总体合并准确率为0.74 (95% CI 0.62-0.84; I²=94.6%)。总结AUC为0.81 (95% CI 0.78-0.85),表明判别性能中等。亚组分析表明,纳入多模态数据的模型具有优越的预测性能,合并灵敏度为0.84,准确率为0.82。此外,与其他焦虑障碍亚型相比,社交焦虑障碍患者的预测表现最高。结论:该荟萃分析定量地综合了AI在预测CBT对焦虑症反应方面的表现,超越了叙述性综述,提供了综合证据。与现有的涵盖更广泛诊断组的综述相反,我们的重点方法为该临床领域建立了精确的基准,突出当前适度的总体表现。此外,我们通过展示多模态数据的优越预测效用,将社交焦虑障碍确定为最可预测的亚型,并系统地评估数据模式和算法类型的影响,进一步扩展了之前的工作。未来的工作应优先考虑经过强大验证的多模态模型,为ai辅助工具的潜在发展奠定基础,以个性化焦虑症的治疗计划。
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引用次数: 0
Immersive Technologies for Cognitive Rehabilitation in Dementia and Mild Cognitive Impairment: Systematic Review. 沉浸式技术用于痴呆和轻度认知障碍的认知康复:系统综述。
IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-03-18 DOI: 10.2196/84349
Jaromir Konecny, Giuseppe Lanza, Serafino Buono, Raffaele Ferri, Antonina Luca, Radek Martinek, Sabrina Musso, Aurora Palmigiano, Barbora Prauzkova, Angelica Quercia, Francesco Rundo, Ramachandran Avala Subramanian, Alessandro Serretti, Michal Prauzek

Background: Cognitive decline across the mild cognitive impairment (MCI)-dementia continuum is a major driver of loss of independence and growing health- and social-care burden. Immersive technologies, such as virtual reality (VR), augmented reality (AR), and Cave Automatic Virtual Environment (CAVE) systems, are increasingly explored as tools to enhance engagement, personalization, and ecological validity in cognitive rehabilitation.

Objective: This systematic review synthesizes current evidence on the usability, therapeutic effects, and implementation challenges of immersive technologies for cognitive rehabilitation in MCI and dementia.

Methods: A systematic search of Scopus and Web of Science was conducted for peer-reviewed journal articles published between 2021 and 2026. Eligible studies investigated VR, AR, or CAVE interventions targeting cognitive rehabilitation outcomes in MCI and/or dementia and reported measures related to usability or acceptability, or cognitive, functional, or behavioral outcomes. Due to heterogeneity in technologies, intervention content, and outcome measures, findings were synthesized narratively with comparisons across modalities and study designs.

Results: In total, 119 studies met the inclusion criteria. Across immersive VR interventions, signals of benefit were most consistently reported for memory, attention, and executive functioning, with several studies also targeting outcomes with higher ecological relevance (eg, everyday task performance and functional skills). AR approaches primarily support context-aware cueing and task guidance in real-world settings, aiming to strengthen daily functioning and independence. CAVE-based systems were frequently used for spatial navigation and embodied interaction, offering advantages for supervised clinical deployment. Key barriers included cybersickness and comfort issues, interface complexity, and onboarding demands in cognitively impaired users, limited accessibility and standardization of outcome measures, small samples and short follow-up periods, and practical constraints related to cost, space, staffing, and caregiver involvement.

Conclusions: Immersive VR, AR, and CAVE systems are feasible and often engaging for cognitive rehabilitation in MCI and dementia, with promising therapeutic signals but substantial uncertainty driven by methodological and implementation heterogeneity. Future work should prioritize standardized reporting (intervention components, dose, and adverse events), clinically meaningful outcomes (including functional end points), adequately powered comparative trials, and explicit evaluation of scalability and real-world deployment pathways.

背景:轻度认知障碍(MCI)-痴呆连续体的认知能力下降是独立性丧失和健康和社会护理负担增加的主要驱动因素。沉浸式技术,如虚拟现实(VR)、增强现实(AR)和洞穴自动虚拟环境(Cave)系统,越来越多地被探索为增强认知康复中的参与度、个性化和生态有效性的工具。目的:本系统综述综合了沉浸式技术在MCI和痴呆认知康复中的可用性、治疗效果和实施挑战方面的现有证据。方法:系统检索Scopus和Web of Science,检索2021 - 2026年间发表的同行评议期刊文章。符合条件的研究调查了针对MCI和/或痴呆的认知康复结果的VR、AR或CAVE干预措施,并报告了与可用性或可接受性,或认知、功能或行为结果相关的措施。由于技术、干预内容和结果测量的异质性,研究结果通过不同模式和研究设计的比较进行叙述性综合。结果:总共有119项研究符合纳入标准。在沉浸式VR干预中,最一致报告的有益信号是记忆、注意力和执行功能,还有几项研究也针对具有更高生态相关性的结果(例如,日常任务表现和功能技能)。AR方法主要支持现实环境中的情境感知提示和任务指导,旨在增强日常功能和独立性。基于洞穴的系统经常用于空间导航和具身交互,为监督临床部署提供了优势。主要障碍包括晕机和舒适度问题、界面复杂性、认知障碍用户的入职需求、结果测量的可及性和标准化程度有限、样本小、随访时间短,以及与成本、空间、人员配备和护理人员参与相关的实际限制。结论:沉浸式VR、AR和CAVE系统是可行的,通常用于MCI和痴呆的认知康复,具有良好的治疗信号,但由于方法和实施的异质性,存在很大的不确定性。未来的工作应优先考虑标准化报告(干预成分、剂量和不良事件)、临床有意义的结果(包括功能终点)、充分有力的比较试验,以及可扩展性和现实世界部署途径的明确评估。
{"title":"Immersive Technologies for Cognitive Rehabilitation in Dementia and Mild Cognitive Impairment: Systematic Review.","authors":"Jaromir Konecny, Giuseppe Lanza, Serafino Buono, Raffaele Ferri, Antonina Luca, Radek Martinek, Sabrina Musso, Aurora Palmigiano, Barbora Prauzkova, Angelica Quercia, Francesco Rundo, Ramachandran Avala Subramanian, Alessandro Serretti, Michal Prauzek","doi":"10.2196/84349","DOIUrl":"10.2196/84349","url":null,"abstract":"<p><strong>Background: </strong>Cognitive decline across the mild cognitive impairment (MCI)-dementia continuum is a major driver of loss of independence and growing health- and social-care burden. Immersive technologies, such as virtual reality (VR), augmented reality (AR), and Cave Automatic Virtual Environment (CAVE) systems, are increasingly explored as tools to enhance engagement, personalization, and ecological validity in cognitive rehabilitation.</p><p><strong>Objective: </strong>This systematic review synthesizes current evidence on the usability, therapeutic effects, and implementation challenges of immersive technologies for cognitive rehabilitation in MCI and dementia.</p><p><strong>Methods: </strong>A systematic search of Scopus and Web of Science was conducted for peer-reviewed journal articles published between 2021 and 2026. Eligible studies investigated VR, AR, or CAVE interventions targeting cognitive rehabilitation outcomes in MCI and/or dementia and reported measures related to usability or acceptability, or cognitive, functional, or behavioral outcomes. Due to heterogeneity in technologies, intervention content, and outcome measures, findings were synthesized narratively with comparisons across modalities and study designs.</p><p><strong>Results: </strong>In total, 119 studies met the inclusion criteria. Across immersive VR interventions, signals of benefit were most consistently reported for memory, attention, and executive functioning, with several studies also targeting outcomes with higher ecological relevance (eg, everyday task performance and functional skills). AR approaches primarily support context-aware cueing and task guidance in real-world settings, aiming to strengthen daily functioning and independence. CAVE-based systems were frequently used for spatial navigation and embodied interaction, offering advantages for supervised clinical deployment. Key barriers included cybersickness and comfort issues, interface complexity, and onboarding demands in cognitively impaired users, limited accessibility and standardization of outcome measures, small samples and short follow-up periods, and practical constraints related to cost, space, staffing, and caregiver involvement.</p><p><strong>Conclusions: </strong>Immersive VR, AR, and CAVE systems are feasible and often engaging for cognitive rehabilitation in MCI and dementia, with promising therapeutic signals but substantial uncertainty driven by methodological and implementation heterogeneity. Future work should prioritize standardized reporting (intervention components, dose, and adverse events), clinically meaningful outcomes (including functional end points), adequately powered comparative trials, and explicit evaluation of scalability and real-world deployment pathways.</p>","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"28 ","pages":"e84349"},"PeriodicalIF":6.0,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12999361/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147480957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Effects of Self-Compassion and Mindfulness Interventions on Mental Health and Work-Related Outcomes Among Japanese Workers: Randomized Controlled Trial. 自我同情和正念干预对日本工人心理健康和工作相关结果的影响:随机对照试验。
IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-03-17 DOI: 10.2196/79991
Takumu Kurosawa, Koichiro Adachi, Ryu Takizawa
<p><strong>Background: </strong>Mental health problems among workers are a significant global concern, leading to substantial economic losses, particularly due to presenteeism. While mindfulness and self-compassion practices have shown promise in improving psychological well-being and occupational outcomes, traditional interventions often require a high time commitment. Low-intensity digital interventions remain underexplored, especially in the context of occupational health.</p><p><strong>Objective: </strong>This study aimed to develop and evaluate the effectiveness of a smartphone-based self-care app that enables independent practice of mindfulness and self-compassion without facilitator support. Specifically, it assessed the effects of self-compassion meditation (SCM) and mindfulness meditation (MM) on mental health and work-related outcomes among nonclinical Japanese workers.</p><p><strong>Methods: </strong>This open-label, 3-arm randomized controlled trial recruited 300 working adults in Japan, who were randomly assigned to SCM (n=101), MM (n=100), or a waitlist control group (n=99). Participants in the SCM and MM groups engaged in daily guided meditation via a custom-built smartphone app over 4 weeks. Primary outcomes included psychological distress (Kessler Psychological Distress Scale-6) and work performance (World Health Organization Health and Work Performance Questionnaire and the Stanford Presenteeism Scale), while secondary outcomes encompassed cognitive flexibility, self-compassion, perceived stress, work engagement, psychological safety, and self-perceived creativity. Assessments were conducted at baseline, postintervention (4 wk), and 1-month follow-up (8 wk). Recruitment occurred in 2 waves (November 2022-December 2022 and June 2023), with follow-up assessments completed by September 2023.</p><p><strong>Results: </strong>A total of 300 participants (mean age of 35.44, SD 9.14 y; n=180, 60% female) were randomized. Adherence was high in both intervention groups (mean completed days: SCM 23.30, SD 5.58; MM 22.95, SD 6.25), with an overall dropout rate of 21.4%. No significant group × time interactions were detected for most outcomes, although significant main effects of time were observed for several measures, including work performance and self-compassion, with small effect sizes. Within-group analyses suggested broader improvements in the SCM group, whereas changes in the MM group were more limited. In sensitivity analyses using linear mixed-effects models, a significant group × time interaction was detected for work performance, with a larger pre-post improvement in SCM.</p><p><strong>Conclusions: </strong>This low-intensity, fully self-guided, smartphone-based meditation program demonstrated good feasibility, as reflected by high adherence and relatively low attrition. Between-group effects were limited; therefore, the findings should be interpreted as preliminary and do not support strong causal claims of intervention superior
背景:工人的心理健康问题是全球关注的一个重大问题,导致重大的经济损失,特别是由于出勤。虽然正念和自我同情的做法在改善心理健康和职业成果方面表现出了希望,但传统的干预措施往往需要很高的时间投入。低强度数字干预措施仍未得到充分探索,特别是在职业健康方面。目的:本研究旨在开发和评估基于智能手机的自我护理应用程序的有效性,该应用程序可以在没有助理员支持的情况下独立练习正念和自我同情。具体来说,它评估了自我同情冥想(SCM)和正念冥想(MM)对非临床日本员工心理健康和工作相关结果的影响。方法:这项开放标签、三臂随机对照试验在日本招募了300名有工作的成年人,他们被随机分配到SCM组(n=101)、MM组(n=100)和等候名单对照组(n=99)。SCM组和MM组的参与者每天通过定制的智能手机应用程序进行指导冥想,持续4周。主要结果包括心理困扰(Kessler心理困扰量表-6)和工作绩效(世界卫生组织健康与工作绩效问卷和斯坦福出勤量表),次要结果包括认知灵活性、自我同情、感知压力、工作投入、心理安全感和自我感知创造力。评估分别在基线、干预后(4周)和1个月随访(8周)进行。招募分两波进行(2022年11月至2022年12月和2023年6月),后续评估于2023年9月完成。结果:共纳入300例受试者,平均年龄35.44岁,SD 9.14 y, n=180,女性占60%。两个干预组的依从性都很高(平均完成天数:SCM 23.30, SD 5.58; MM 22.95, SD 6.25),总退出率为21.4%。在大多数结果中,没有发现显著的组与时间的相互作用,尽管在包括工作绩效和自我同情在内的几个测量中观察到时间的显著主要影响,但效应量很小。组内分析表明SCM组的改善范围更广,而MM组的变化则更为有限。在使用线性混合效应模型的敏感性分析中,发现了显著的组×时间相互作用对工作绩效的影响,在SCM方面有较大的前后改善。结论:这种低强度、完全自我引导、基于智能手机的冥想项目具有良好的可行性,表现为高依从性和相对较低的损耗率。组间效应有限;因此,研究结果应被解释为初步的,并不支持干预优势的强有力的因果主张。该非临床样本的临床意义尚不清楚,应在未来的研究中进行评估。
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引用次数: 0
When Old Diseases Return: Cholera, Crisis, and Digital Surveillance in Fragile Settings. 当旧疾病回归:脆弱环境中的霍乱、危机和数字监测。
IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-03-17 DOI: 10.2196/94818
Isabelle Basbouss-Serhal
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引用次数: 0
Effectiveness of Postdischarge Telephone Calls in Reducing Hospital Utilization: Quasi-Randomized Controlled Trial. 出院后电话对降低医院使用率的有效性:准随机对照试验。
IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-03-17 DOI: 10.2196/80529
Sandie Du, Abigail Anada, Maria Montenegro, Maurie Maitland, Sean Chuan, Sonia Jose, Harveer Sihota, Delia Cooper, Joanna Rivera, Dianne Burditt, Minetaro Naruki-van Velzen, Megan MacPherson

Background: Unplanned emergency department (ED) visits and hospital readmissions following discharge contribute to patient distress, increased health care costs, and system inefficiencies. Early postdischarge follow-up can improve care transitions, yet evidence on the effectiveness of telephone-based interventions remains mixed. Telephone calls, a low-barrier form of digital health, may enhance equity and accessibility by reaching patients who face challenges with in-person or higher-technology follow-up.

Objective: This study evaluated the impact of a nurse-led postdischarge telephone intervention delivered by Fraser Health Virtual Care on short-term ED visits and hospital readmissions among recently discharged high-risk patients. Secondary objectives included examining patient experiences with the service and identifying care gaps addressed during follow-up calls.

Methods: A pragmatic quasi-randomized trial was conducted (May 2022-September 2022). Participants were eligible if they were aged 18 years or older and classified as high-risk for readmission using the LACE (Length of stay, Acuity of admission, Comorbidities, and Emergency department use) index (≥10 or <9 and ≥45 y). Participants were allocated to either a postdischarge telephone intervention group or a standard care control group based on daily nurse availability. Intervention participants received a structured nurse-led call 48 hours after discharge assessing understanding of discharge instructions, medication management, follow-up appointments, and home supports. Primary outcomes were ED visits within 7 and 30 days post call; secondary outcomes were hospital readmissions and patient experience. Negative binomial regression models were used to calculate adjusted incident rate ratios (IRRs).

Results: A total of 7091 participants were included (intervention: n=3911, of whom 1752 completed the call; control: n=3180). Postdischarge calls significantly reduced ED visits at both 7 days (adjusted IRR 0.719, 95% CI 0.617-0.837; P<.001) and 30 days (IRR 0.878, 95% CI 0.783-0.983; P=.02). No statistically significant reductions were observed in hospital readmissions at either 7 days (IRR 0.809; P=.13) or 30 days (IRR 0.942; P=.54). Forty percent of completed calls (n=701) identified at least 1 gap in discharge understanding or follow-up care. Most participants found the calls helpful and reported increased confidence in managing their care.

Conclusions: Structured nurse-led postdischarge telephone calls significantly reduced short-term ED utilization but did not impact readmission rates. These findings support the role of telephone-based virtual care as a scalable, low-barrier strategy to improve care transitions and reduce avoidable ED visits. Additional or ongoing interventions may be required to influence hospital readmission outcomes among high-risk patients.

背景:计划外的急诊科(ED)访问和出院后的再入院会导致患者痛苦,增加医疗保健成本和系统效率低下。出院后早期随访可以改善护理过渡,但关于电话干预有效性的证据仍然好坏参半。电话是一种低障碍的数字健康形式,可通过接触面临面对面或更高技术随访挑战的患者,提高公平性和可及性。目的:本研究评估由Fraser Health Virtual Care提供的护士主导的出院后电话干预对近期出院高危患者短期急诊科就诊和再入院的影响。次要目标包括检查患者对服务的体验,并确定在随访电话中解决的护理差距。方法:进行一项实用的准随机试验(2022年5月- 2022年9月)。如果参与者年龄在18岁或以上,并且使用LACE(住院时间、入院灵敏度、合并症和急诊科使用)指数(≥10)被分类为再入院高风险,则符合条件。结果:共纳入7091名参与者(干预:n=3911,其中1752人完成了通话;对照组:n=3180)。出院后电话显著减少了7天内急诊科的就诊(调整IRR 0.719, 95% CI 0.617-0.837)。结论:有组织的护士引导的出院后电话显著降低了短期急诊科的使用率,但不影响再入院率。这些发现支持基于电话的虚拟护理作为一种可扩展的、低障碍的策略来改善护理转换和减少可避免的急诊就诊的作用。可能需要额外的或持续的干预措施来影响高危患者的再入院结果。
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引用次数: 0
期刊
Journal of Medical Internet Research
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