JMIR mHealth and uHealth最新文献

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Exploring Fit in a Mobile Health Intervention for Alcohol Use Disorder: Qualitative Study. 探索适合酒精使用障碍的移动健康干预:定性研究
IF 6.2 2区 医学
JMIR mHealth and uHealth Pub Date : 2025-10-14 DOI: 10.2196/65218
Nora Jacobson, Linda S Park, Alice Pulvermacher, Samantha Voelker, Mallory Herzog, Andrew Quanbeck
{"title":"Exploring Fit in a Mobile Health Intervention for Alcohol Use Disorder: Qualitative Study.","authors":"Nora Jacobson, Linda S Park, Alice Pulvermacher, Samantha Voelker, Mallory Herzog, Andrew Quanbeck","doi":"10.2196/65218","DOIUrl":"https://doi.org/10.2196/65218","url":null,"abstract":"<p><strong>Background: </strong>Implementation frameworks such as the Exploration, Preparation, Implementation, Sustainment model emphasize the importance of the fit between an intervention and its context, which includes the needs of its target population, as well as the culture, resources, and capabilities of the implementing organization. Although lack of fit is a major barrier to implementation, fit has not often been a focus of implementation research. This paper uses fit as a lens to examine the implementation of Tula, a mobile health app aimed at reducing risky drinking days among individuals meeting the criteria for mild to moderate alcohol use disorder, in a 3-arm (app alone, app plus peer mentoring, and app plus health coaching) randomized controlled trial.</p><p><strong>Objective: </strong>We sought to better understand the trial results and to provide actionable guidance for future implementation of digital health interventions in health care organizations.</p><p><strong>Methods: </strong>Semistructured interviews with 18 trial participants and 7 Tula implementers were conducted. Trial participants were pulled equally from each arm of the trial and represented participants who demonstrated both high and low engagement with the app. Implementers consisted of a project manager, 4 peer mentors, and 2 health coaches. Interviews with participants focused on their motivations, opinions, and experiences of the intervention and their perception of their drinking behavior following the intervention, including how their use of the app worked to change that behavior. Interviews with implementers were centered on their roles, theories of change, perceptions of intervention, and areas for improvement. All interviews were analyzed using rapid qualitative analysis with deductive and inductive components.</p><p><strong>Results: </strong>We identified areas of both fit and misfit. For example, there was a good fit between implementers' theories of change and participants' description of how change occurred. Fit was improved by the versatility of the app, which allowed participants to customize their experiences. Conversely, misfit was noted in the app's inability to cultivate connection for many participants and a disjunction between the role of peer mentors in the intervention and their broader professional ethos.</p><p><strong>Conclusions: </strong>Focusing on fit provides a useful guide to enhance future iterations of the Tula app that lead to better sustainment of the intervention.</p>","PeriodicalId":14756,"journal":{"name":"JMIR mHealth and uHealth","volume":"13 ","pages":"e65218"},"PeriodicalIF":6.2,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145292230","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
Investigating the Quality of Mobile Apps for Drug-Drug Interaction Management Using the Mobile App Rating Scale and K-Means Clustering: Systematic Search of App Stores. 基于手机应用评分量表和k均值聚类的药物-药物交互管理手机应用质量调查:应用商店系统搜索
IF 6.2 2区 医学
JMIR mHealth and uHealth Pub Date : 2025-10-13 DOI: 10.2196/65927
Ayush Bhattacharya, Jose Fernando Florez-Arango
{"title":"Investigating the Quality of Mobile Apps for Drug-Drug Interaction Management Using the Mobile App Rating Scale and K-Means Clustering: Systematic Search of App Stores.","authors":"Ayush Bhattacharya, Jose Fernando Florez-Arango","doi":"10.2196/65927","DOIUrl":"10.2196/65927","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Drug-drug interactions (DDIs) pose a significant risk to patient safety and increase health care costs. Mobile apps offer potential solutions for managing DDIs, yet their quality and effectiveness from the user's perspective remain unclear.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;The aim is to evaluate the quality of publicly available mobile apps for DDI management in the US using the Mobile App Rating Scale (MARS) and to identify patterns that reflect user satisfaction and preferences.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A structured review was conducted to identify mobile apps for DDI management, resulting in 19 eligible apps. Two health care-affiliated evaluators independently assessed each app using the mobile app rating scale (MARS). Dimensionality scores were calculated, and correlation analysis was conducted to examine relationships among dimensions. K-means clustering was applied to group apps based on their MARS scores. Scatter plots visualized app distributions across clusters. To validate the clustering model and assess alignment with user satisfaction, mean weighted user ratings were compared with mean MARS scores per cluster. Correlation analysis was also performed between individual MARS dimensions and user ratings within each cluster.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The mean MARS score was 3.54 out of 5, with the Information dimension scoring the highest (mean 3.68, SD 0.51) and Engagement the lowest (mean 3.42, SD 0.80). The Kruskal-Wallis test revealed no significant differences in median scores across the four dimensions (χ²3=2.109, P=.55). All MARS dimensions were positively correlated (r=0.65 to 0.92), indicating interrelated quality characteristics. K-means clustering identified three app groups with varying quality profiles: Cluster 1 (n=7, mean MARS=2.86), Cluster 2 (n=7, mean=3.57), and Cluster 3 (n=5, mean=4.44). Cluster 1 apps showed strongest correlations between user satisfaction and functionality (r=0.74) and engagement (r=0.53). Cluster 2 users prioritized information (r=0.41) and aesthetics (r=0.58), and Cluster 3 exhibited balanced influence from information (r=0.62), aesthetics (r=0.58), and functionality (r=0.39). Scatter plots indicated that engagement, functionality, and aesthetics were key drivers of user perception, while information, though consistently strong, played a lesser role in differentiating the apps. The weighted user ratings aligned with MARS scores, supporting the validity of the clustering model.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;This study assesses the quality of mobile apps for DDI management by integrating MARS with K-means Clustering. This approach enabled a structured classification of apps based on the MARS scores, identifying distinct clusters that reflect overall app quality profiles across key usability dimensions. The study revealed that the influence of MARS dimensions on app ratings varies by cluster, highlighting that the significance of these dimensions shi","PeriodicalId":14756,"journal":{"name":"JMIR mHealth and uHealth","volume":"13 ","pages":"e65927"},"PeriodicalIF":6.2,"publicationDate":"2025-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12516926/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145280264","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
Implementation and Evaluation of a Virtual Transitional Care Intervention Using Automated Text Messaging and Virtual Visits after Emergency Department Discharges: A Retrospective Cohort Study. 急诊科出院后使用自动短信和虚拟访问的虚拟过渡护理干预的实施和评估:一项回顾性队列研究。
IF 6.2 2区 医学
JMIR mHealth and uHealth Pub Date : 2025-10-10 DOI: 10.2196/77973
Grace Lee, Courtenay R Bruce, Tariq Nisar, Brendan M Holderread, Sarah N Pletcher, Ngoc-Anh Anh Nguyen
{"title":"Implementation and Evaluation of a Virtual Transitional Care Intervention Using Automated Text Messaging and Virtual Visits after Emergency Department Discharges: A Retrospective Cohort Study.","authors":"Grace Lee, Courtenay R Bruce, Tariq Nisar, Brendan M Holderread, Sarah N Pletcher, Ngoc-Anh Anh Nguyen","doi":"10.2196/77973","DOIUrl":"https://doi.org/10.2196/77973","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Emergency Department (ED) overcrowding and avoidable revisits represent significant challenges for healthcare systems, with approximately 20% of patients returning to the ED within 30 days of discharge. To reduce avoidable acute care use, many health systems have adopted ED-based transitional care interventions (TCIs). Among the most scalable and cost-effective strategies is automated text messaging outreach, which facilitates timely follow-up and reinforces discharge instructions. Despite its promise, evidence supporting this approach remains limited.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;(1) Describe the design, implementation, and outcomes of a novel TCI utilizing SMS text messaging and virtual transitional care visits, and (2) assess its effect on unplanned ED revisits for the same presenting complaint as well as subsequent ambulatory follow-up engagement.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;This retrospective observational cohort study included patients discharged from four EDs within a single U.S. health system between September 2023 and September 2024. Patients were categorized into two groups based on their engagement with the intervention: (1) the Completed Virtual Transitional Care Visit group (requested, scheduled, and completed a visit) and the (2) Noncompleted Virtual Transitional Care Visit group (requested, scheduled, but did not complete a visit). The primary outcome was spontaneous, unplanned ED revisits within 90 days. Secondary outcomes included outpatient follow-up and time to first outpatient evaluation. Between group differences were assessed using descriptive statistics and multivariable regression models (P &lt; 0.05).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Of the 68,115 discharged patients during the study period, 42.7% (29,100) received an automated text for the virtual transitional care program, and 2.9% (853/29,100) accessed the scheduling link. Of these, 56.5% (482/853) requested a virtual transitional care visit, 49.8% (240/482) scheduled an appointment, and 70.0% (168/240) completed the visit (Completed group). Among the 72 Noncompleted patients, 56.9% no-showed, 31.9% canceled, and 11.1% scheduled two appointments but completed neither. Nearly half (48.6%) of the Noncompleted group had an outpatient follow-up, indicating variable engagement. Demographics, comorbidities, and clinical acuity were similar between groups. The Noncompleted group was nearly twice as likely to return to the ED within 90 days (27.8% vs 15.5%; χ²₁=4.20, P=0.04; OR=2.11, 95% CI 1.02-4.33) while the Completed group was more likely to complete outpatient follow-up (48.6% vs 30.0%; χ²₁=6.60, P=0.01; OR=2.17, 95% CI 1.23-3.83). Time to first outpatient visit did not differ significantly between groups (mean = 15.7 days vs. 19.8 days; Δβ = -1.93; 95% CI: -10.09 to 6.42; P = 0.65).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;A TCI combining automated text messaging with virtual visits was associated with reduced 90-day spontaneous ED revisit","PeriodicalId":14756,"journal":{"name":"JMIR mHealth and uHealth","volume":" ","pages":""},"PeriodicalIF":6.2,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145274534","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
Wearable Technologies in Head and Neck Oncology: Scoping Review. 头颈部肿瘤可穿戴技术:范围综述。
IF 6.2 2区 医学
JMIR mHealth and uHealth Pub Date : 2025-10-10 DOI: 10.2196/72372
Matthew Shammas-Toma, Gianluca Sampieri, Michael Xie, Aishwaria Maxwell, Alex Esemezie, Quynh Pham, Joseph A Cafazzo, Philip Wong, C Jillian Tsai, David P Goldstein, John R de Almeida, Ervin Sejdic, Christopher M K L Yao
{"title":"Wearable Technologies in Head and Neck Oncology: Scoping Review.","authors":"Matthew Shammas-Toma, Gianluca Sampieri, Michael Xie, Aishwaria Maxwell, Alex Esemezie, Quynh Pham, Joseph A Cafazzo, Philip Wong, C Jillian Tsai, David P Goldstein, John R de Almeida, Ervin Sejdic, Christopher M K L Yao","doi":"10.2196/72372","DOIUrl":"10.2196/72372","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Head and neck cancer (HNC) survivors face profound functional and quality-of-life deficits due to disease- and treatment-related sequelae, ranging from mild fatigue to debilitating dysphagia. Wearable technology, by monitoring biometric data such as step counts or providing swallowing biofeedback, offers a unique method for tracking and monitoring the negative effects of HNC.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;The aim of this study was to explore the current applications of wearable technology in HNC.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A scoping review was conducted following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. A search strategy was built, and a literature search was performed across 5 databases. The initial search yielded 5256 studies, which underwent a 2-phase screening process: title and abstract review followed by full-text review. Inclusion criteria included peer-reviewed, English-language articles published between January 2002 and April 2024 that used wearable technology in HNC care. After full-text review, 9 studies met the inclusion criteria. Data were manually extracted and synthesized narratively.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The included studies examined 3 main types of wearable devices: radioactivity (2 studies), physical activity (4 studies), and throat physiology monitors (3 studies). Radioactivity monitors detected residual radioactivity and thyroidal radioiodine uptake. They demonstrated potential to reduce radioactivity exposure risk and personalize radiation doses for patients with thyroid cancer. Physical activity monitors tracked step counts, heart rate, and sleep habits. Low step counts were significantly associated with increased anxiety, radiation-related toxicity, hospital admission rates, and feeding tube placement. One study also linked poor sleep patterns to declines in quality of life. Throat physiology monitors measured pharyngeal electromyography data as well as extrinsic laryngeal muscle movements. Throat sensors achieved high accuracy in classifying swallowing events and translating muscle movements into speech. While earliest in the development continuum, they are promising tools for swallowing and vocal rehabilitation therapy. Barriers to wearable adoption included wearable discomfort, technical difficulties, and patient withdrawal due to treatment side effects. As the definition of wearable adherence varied widely, we propose that future studies report wearable adherence as \"percentage of prescribed wear time achieved\" to facilitate cross-study comparisons.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;Wearable technology may enhance treatment monitoring, prognostication, and rehabilitation in head and neck oncology. Radioactivity and physical activity monitors provide actionable insights for clinical decision-making, while throat physiology monitors offer innovative solutions for speech and swallowing","PeriodicalId":14756,"journal":{"name":"JMIR mHealth and uHealth","volume":"13 ","pages":"e72372"},"PeriodicalIF":6.2,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12513687/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145274497","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
Use and Application of mHealth Technologies in Perioperative Surgical Care: Narrative Review. 移动健康技术在围手术期外科护理中的使用和应用:叙述性综述。
IF 6.2 2区 医学
JMIR mHealth and uHealth Pub Date : 2025-10-10 DOI: 10.2196/52206
Maria Camila Sierra, Henry To, Wan Jun Song
{"title":"Use and Application of mHealth Technologies in Perioperative Surgical Care: Narrative Review.","authors":"Maria Camila Sierra, Henry To, Wan Jun Song","doi":"10.2196/52206","DOIUrl":"https://doi.org/10.2196/52206","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Surgical procedures and their potential complications place substantial strain on patients, clinicians, and health care systems. These strains are driven by the anticipated morbidity and mortality, so that there is resource-intensive postoperative inpatient management. Given the concentration of surgical services within hospital settings, current standard levels of care have limitations such as communication gaps, time lapses before evaluation, and investment of resources, which limit accessibility and generate disparities in delivery of care. However, recent advances in digital health, including telemedicine platforms, mobile health (mHealth), and wearable technologies, present an opportunity to decentralize and extend perioperative care into community settings. This review explored how established mHealth technologies are being integrated into the perioperative pathway and their impact on surgical care delivery and outcomes. It also highlights possible emerging models of remote physician and patient interaction where benefits seem to be outweighing the risks.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;The aim of this narrative review was to present collected evidence for the use of established mHealth technologies in the surgical pathway of patients and highlight their readiness and potential in models of standard care.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A comprehensive literature search was conducted across MEDLINE (via PubMed), Web of Science, and Scopus databases between October 2022 and May 2024. Additional sources were identified through reference list screening of relevant systematic reviews. Data were extracted and analyzed based on surgical specialty, type of mHealth intervention, cost-effectiveness, and ethical considerations. Findings were summarized in tables to illustrate key trends and variations across studies. The extracted data were tabulated and described qualitatively to highlight similarities, differences, and possible emerging trends across the studies.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;A total of 28 articles published between 2008 and 2022 were included for qualitative analysis, with most (n=21, 75%) originating from the United States, Germany, and the United Kingdom. The study designs were predominantly randomized controlled trials (n=9, 32%) and observational studies (n=8, 29%). Collectively, these studies involved 6344 patients undergoing mHealth-based perioperative interventions primarily in general surgery, orthopedics, and oncology. Interventions frequently used smartphones (n=10, 36%) and wearable devices, often in combination with other tracking and measuring systems. Applications included wound monitoring, postoperative follow-up, and patient education. Data collection was multimodal and typically conducted daily, yet only 36% (10/28) of the articles reported defined follow-up periods. Cost-effectiveness was rarely assessed, with only 4% (1/28) of the articles reporting per-patient savings. Overal","PeriodicalId":14756,"journal":{"name":"JMIR mHealth and uHealth","volume":"13 ","pages":"e52206"},"PeriodicalIF":6.2,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145274473","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
Effect of Mobile Augmented Reality Counseling on Improving Shared Decision-Making in Thoracic Surgery: A Randomized Clinical Crossover Trial. 移动增强现实咨询对改善胸外科共同决策的影响:一项随机临床交叉试验。
IF 6.2 2区 医学
JMIR mHealth and uHealth Pub Date : 2025-10-09 DOI: 10.2196/79632
Ying-Shian Chen, Yi-Chen Hsu, Worachate Romalee, Ding-Han Wang, Jennifer Lai, Tsai-Wang Huang, Kuan Hsun Lin
{"title":"Effect of Mobile Augmented Reality Counseling on Improving Shared Decision-Making in Thoracic Surgery: A Randomized Clinical Crossover Trial.","authors":"Ying-Shian Chen, Yi-Chen Hsu, Worachate Romalee, Ding-Han Wang, Jennifer Lai, Tsai-Wang Huang, Kuan Hsun Lin","doi":"10.2196/79632","DOIUrl":"https://doi.org/10.2196/79632","url":null,"abstract":"<p><strong>Background: </strong>Augmented reality (AR) superimposes virtual objects onto the real-world environment, allowing users to interact in real-time. Since AR has become widely used, it also leverages the efficiency advantages of smartphones or tablets to enable mobile augmented reality (MAR) experiences. AR has been adopted in many industries, and literature has highlighted its applications in academic and clinical settings, particularly for enhancing visualization, communication, and learning.</p><p><strong>Objective: </strong>This study investigates the potential of mobile augmented reality as mHealth tools to enhance shared decision-making (SDM) in thoracic surgery by increasing patient understanding and engagement during medical consultations.</p><p><strong>Methods: </strong>A randomized crossover clinical trial was conducted at Tri-Service General Hospital in Taiwan. Participants scheduled for thoracic surgery were enrolled and randomized in a crossover design. The MAR intervention incorporated patient-specific three-dimensional (3D) anatomical models that were reconstructed from CT imaging to facilitate understanding and support SDM. The impact of each counseling approach on SDM was evaluated using post-intervention questionnaires.</p><p><strong>Results: </strong>A total of forty-seven participants were effectively incorporated into the research. After analyzing the data, we found that patients in the MAR group showed significantly higher scores compared to those in the traditional counseling group (p < 0.05) during the SDM process. Moreover, patients reported higher satisfaction levels and found the visual objects helpful in understanding tumor location and surgical procedures.</p><p><strong>Conclusions: </strong>The study demonstrates that MAR counseling significantly enhances patients' comprehension of thoracic conditions and increases their active engagement in the SDM process. The integration of patient-specific 3D anatomical models into MAR technology provided an intuitive method for critical medical information. This digital approach not only enhances personalization in medical communication but also reinforces patient education in their own healthcare conditions. The findings suggest that MAR counseling represents a promising approach for promoting patient-centered care in thoracic surgery and has potential applications across various clinical domains.</p><p><strong>Clinicaltrial: </strong>ClinicalTrials.gov Identifier: NCT07062393. https://clinicaltrials.gov/study/NCT07062393.</p>","PeriodicalId":14756,"journal":{"name":"JMIR mHealth and uHealth","volume":" ","pages":""},"PeriodicalIF":6.2,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145258266","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
Cerina-Cognitive Behavioral Therapy-Based Mobile App for Managing Generalized Anxiety Disorder Symptoms Among University Students: Results From a Pilot Feasibility Randomized Controlled Trial. 基于cerina -认知行为疗法的移动应用程序管理大学生广泛性焦虑障碍症状:来自一项试点可行性随机对照试验的结果。
IF 6.2 2区 医学
JMIR mHealth and uHealth Pub Date : 2025-10-09 DOI: 10.2196/70691
Ozlem Eylem-van Bergeijk, Tony Robinson, Matthew Manktelow, Michail Olympios, Siobhan Poulter, Prasannajeet Mane, Maria Panagioti, Joan Condell, Gerard Leavey
{"title":"Cerina-Cognitive Behavioral Therapy-Based Mobile App for Managing Generalized Anxiety Disorder Symptoms Among University Students: Results From a Pilot Feasibility Randomized Controlled Trial.","authors":"Ozlem Eylem-van Bergeijk, Tony Robinson, Matthew Manktelow, Michail Olympios, Siobhan Poulter, Prasannajeet Mane, Maria Panagioti, Joan Condell, Gerard Leavey","doi":"10.2196/70691","DOIUrl":"10.2196/70691","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Generalized anxiety disorder (GAD) is common among university students due to academic pressure and financial uncertainty, among other challenges. Despite the need, the receipt of available psychological services is often low.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This study investigates the feasibility of a digital unguided cognitive behavioral therapy (CBT)-based mobile app, Cerina, and examines the likely effects of this intervention in reducing GAD symptoms compared to the waitlist control group.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;Eligible students (n=158) with mild to moderate GAD symptoms were self-assessed through web-based questionnaires and were randomly allocated to the intervention group (n=79) or to the waitlist control group (n=79) following their informed consent. The intervention group had direct access to Cerina and followed CBT-based interactive sessions for 6 weeks. The waitlist control group participants had access to optional on-campus well-being services, and they were given access to Cerina 6 weeks after their randomization. Participants completed assessments on anxiety, depression, worry, and usability at three time points. Additionally, upon completing the intervention, they were invited to a web-based interview to understand the implementation of the intervention in more depth.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;On average, 13% (10/79) intervention group participants dropped out, 61% (36/69) completed the core clinical content (2 sessions), and 12% (7/69) completed the desired number of sessions (6 or 7 sessions). Analyses of the completers (2 or more sessions) revealed significant group differences in GAD (mean 8.4, SD 3.7; t&lt;sub&gt;42&lt;/sub&gt;=-2.25; P=.03; d=-0.7) and worry symptoms (mean 42.3, SD 10.8; t&lt;sub&gt;42&lt;/sub&gt;=-2.50; P=.02; d=-0.8), as well as functional impairment (mean 16.7, SD 2.44; t&lt;sub&gt;42&lt;/sub&gt;=-2.12; P=.04; d=-0.6) in favor of the intervention group at posttest with medium to large effect sizes. The intention-to-treat analyses confirmed significant group differences in GAD (mean 8.47, SD 2.7; t&lt;sub&gt;156&lt;/sub&gt;=-2.23; P=.03; d=-0.4), and there were marginally nonsignificant group differences in worry symptoms (mean 41.5, SD 8.40; t&lt;sub&gt;156&lt;/sub&gt;=-1.94; P=.05; d=-0.3) in favor of the intervention group at posttest with medium effect sizes. These results suggest that the intervention had a meaningful impact on reducing GAD symptoms and a modest impact on reducing worry symptoms among participants.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;The Cerina app showed promising results in reducing GAD symptoms among students. This result supports findings from other randomized controlled trials showing that digital CBT-based interventions are effective and feasible for a wide range of age groups and populations experiencing GAD symptoms. The low number of participants completing the recommended number of sessions suggests a usability issue. To address this, the intervention could be refined through an itera","PeriodicalId":14756,"journal":{"name":"JMIR mHealth and uHealth","volume":"13 ","pages":"e70691"},"PeriodicalIF":6.2,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145251057","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
Evaluation of Mobile Intermittent Fasting Applications in Chinese App Stores: Quality Evaluations and Content Analysis. 中国应用商店中移动间歇性禁食应用的评价:质量评价和内容分析。
IF 6.2 2区 医学
JMIR mHealth and uHealth Pub Date : 2025-10-07 DOI: 10.2196/66339
Laihao Fang, Cheng Huang, Bing Lin, Kuanlin Lei, Jiazhen Zhou, Xiaoni Zhong, Yanbing Liu, Jiaxiu Liu
{"title":"Evaluation of Mobile Intermittent Fasting Applications in Chinese App Stores: Quality Evaluations and Content Analysis.","authors":"Laihao Fang, Cheng Huang, Bing Lin, Kuanlin Lei, Jiazhen Zhou, Xiaoni Zhong, Yanbing Liu, Jiaxiu Liu","doi":"10.2196/66339","DOIUrl":"10.2196/66339","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Obesity and related disorders are rising globally, especially in China, where they are linked to chronic diseases like diabetes and cardiovascular issues. As intermittent fasting (IF) gains popularity for weight management, the use of IF apps has increased, yet their quality varies significantly. A systematic evaluation of these apps is essential to assess their effectiveness and reliability.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This study aimed to conduct a comprehensive evaluation of IF apps available in the Chinese mobile app market. We concentrated on evaluating their features, quality, and overall user experience to help users avoid low-quality options and direct app developers to enhance their offers.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A systematic search was performed across 5 major app stores in China, including the Apple App Store, Huawei AppGallery, Oppo Software Store, Vivo App Store, and Xiaomi Market. \"Fasting\", \"Intermittent Fasting\", \"Time-Restricted Feeding\", \"Time-Restricted Fasting\", \"Time-Restricted Eating\" and \"Meal Skipping\" were used as keywords to identify relevant apps, which were then screened based on inclusion and exclusion criteria. The evaluation was conducted using the user version of the Mobile Application Rating Scale (uMARS). The uMARS assessment examined 4 key subscales: engagement, functionality, aesthetics, and information. Each app was independently evaluated by 2 raters who underwent uniform training to ensure consistency in scoring.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;A total of 35 apps were assessed for the study. These apps mostly contain features such as fasting timer (100.0%), recording weight (97.14%), fasting reminder (85.71%), and recording water intake (85.71%). All of the apps have an obvious privacy protection. Most of the apps (79%) have tools for quantifying users' health status. The results showed that the overall average uMARS score across the apps was 4.35 (SD 0.51). The subscale scores were as follows: engagement 4.42 (SD 0.47), functionality 4.65 (SD 0.31), aesthetics 4.19 (SD 0.64), and information 4.15 (SD 0.58). The functionality subscale had the highest mean score, while the aesthetic subscale showed the greatest range of scores, from 2.17 to 5.00. The overall uMARS score was significantly positively correlated with the subscale scores (r=0.786-0.953, P&lt;.001). The user ratings in the app stores did not significantly correlate with the uMARS overall scores (r=-0.290, P=.091). Strong inter-rater reliability was confirmed by intraclass correlation coefficients (ICC=0.809-0.909 across subscales).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;All the apps reveal high overall quality but gaps in professional engagement and social features. Limited clinical input may undermine the evidence-based accuracy and long-term applicability of some apps. Developers are encouraged to collaborate with health care professionals to enhance content reliability and incorporate social features to b","PeriodicalId":14756,"journal":{"name":"JMIR mHealth and uHealth","volume":"13 ","pages":"e66339"},"PeriodicalIF":6.2,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12503444/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145244435","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
A Tailored mHealth Intervention for Improving Antenatal Care Seeking and Its Determinants Among Pregnant Adolescent Girls and Young Women in South Africa: Pilot Randomized Controlled Trial. 一项针对改善南非怀孕少女和年轻妇女产前保健寻求及其决定因素的量身定制的移动健康干预:试点随机对照试验。
IF 6.2 2区 医学
JMIR mHealth and uHealth Pub Date : 2025-10-03 DOI: 10.2196/59144
Ronel Sewpaul, Ken Resnicow, Rik Crutzen, Natisha Dukhi, Priscilla Reddy
{"title":"A Tailored mHealth Intervention for Improving Antenatal Care Seeking and Its Determinants Among Pregnant Adolescent Girls and Young Women in South Africa: Pilot Randomized Controlled Trial.","authors":"Ronel Sewpaul, Ken Resnicow, Rik Crutzen, Natisha Dukhi, Priscilla Reddy","doi":"10.2196/59144","DOIUrl":"https://doi.org/10.2196/59144","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Adolescent pregnancy is of public health concern due to high rates of pregnancy-related complications and lower antenatal attendance among adolescent girls and young women. Mobile health (mHealth) interventions have the potential to improve pregnancy health behaviors and thereby birth outcomes.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This pilot randomized controlled trial with pre-post design evaluated user acceptability and preliminary efficacy of an mHealth intervention to improve antenatal appointment attendance and its determinants among pregnant adolescent girls and young women in South Africa.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;The \"Teen MomConnect\" intervention entailed both fixed and 2-way tailored SMS text messages about antenatal appointment keeping and pregnancy health behaviors. The intervention content and functionality were adapted from MomConnect, a national mHealth program that sends fixed SMS text messages to pregnant women in South Africa. Pregnant adolescent girls and young women aged 13-20 years were recruited from health facilities and community networks in Cape Town during May-December 2018. Simple 1:1 randomization was used to allocate participants into the control group that received the standard MomConnect maternal health messages or the experimental group that received the Teen MomConnect intervention. A subset of experimental group participants received an in-person motivational interviewing session. Questionnaires were administered at baseline and after the end of the participants' pregnancies. Appointment attendance data were obtained from clinic records. ANOVA, ANCOVA, and logistic regression models assessed the differences in appointments attended, awareness of HIV status, and the psychosocial determinants of antenatal attendance between the control and experimental groups.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Overall, 412 adolescent girls and young women were enrolled, of which 254 (62%) completed the posttest survey (64% control, 59% intervention). Patient record data were obtained for 222 of the 412 (54%; in both control and intervention) participants. A total of 84% (63/75) and 72% (54/75) rated the intervention messages highly regarding their content value and their motivational nature for behavior change, respectively. Participants responded to an average of 20% of the 2-way messages they received. Mean appointment attendance did not differ significantly between the experimental (4.86, SD 1.76) and control (4.79, SD 1.74; P=.79) groups. Appointment attendance was higher among intervention participants who responded to ≥50% of messages (\"high-responders\"; 5.08, SD 1.66) than intervention participants who responded to fewer messages (4.82, SD 1.79) and control participants (4.79, SD 1.74; P=.86). The mean increase in knowledge scores was significantly higher among experimental group high-responders (2.1, SD 3.17) than the control group (0.7, SD 2.73; β=1.50; P=.045).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: ","PeriodicalId":14756,"journal":{"name":"JMIR mHealth and uHealth","volume":"13 ","pages":"e59144"},"PeriodicalIF":6.2,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145225429","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
Effect of Lifestyle Modification Through Web-Based Telerehabilitation Monitoring Combined With Supervised Sensorimotor Training After Total Knee Arthroplasty: Randomized Controlled Trial. 全膝关节置换术后通过网络远程康复监测结合监督感觉运动训练的生活方式改变的效果:随机对照试验。
IF 6.2 2区 医学
JMIR mHealth and uHealth Pub Date : 2025-10-02 DOI: 10.2196/64643
Samreen Sadiq, Rabiya Noor, Rizwan Akram
{"title":"Effect of Lifestyle Modification Through Web-Based Telerehabilitation Monitoring Combined With Supervised Sensorimotor Training After Total Knee Arthroplasty: Randomized Controlled Trial.","authors":"Samreen Sadiq, Rabiya Noor, Rizwan Akram","doi":"10.2196/64643","DOIUrl":"10.2196/64643","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Total knee arthroplasty (TKA) is commonly performed to manage end-stage knee osteoarthritis, yet postsurgical recovery varies significantly among patients. Lifestyle modification and rehabilitation interventions play a critical role in optimizing outcomes. While telerehabilitation has shown promise in enhancing accessibility and compliance, its role in supporting lifestyle behavior change alongside supervised sensorimotor training remains underexplored.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This study aimed to evaluate the effects of a home-based lifestyle modification program delivered through web-based telerehabilitation monitoring in addition to supervised sensorimotor training, in improving physical function, pain, balance, quality of life (QOL), and adherence in patients undergoing TKA.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A single-blinded randomized controlled trial was conducted among 52 participants undergoing primary TKA, who were randomly assigned to either the intervention group (IG) (supervised sensorimotor training plus a telerehabilitation-supported lifestyle modification program) or the control group (CG) (supervised sensorimotor training alone and a traditional home exercise plan). The intervention lasted 22 weeks, and participants were assessed at baseline (presurgery), 14 weeks, and 22 weeks postsurgery. Outcome measures included joint position sense (JPS), musculoskeletal ultrasound of the rectus femoris muscle, Berg Balance Scale, knee function using the Knee Injury and Osteoarthritis Outcome Score, and QOL via EuroQol 5-dimension 5-level questionnaire.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Significant improvements were observed in the IG across all outcomes compared with the CG. Notably, the IG showed greater improvements in musculoskeletal ultrasound thickness. JPS showed superior accuracy in the experimental group (baseline [3.2 degrees] to 22 wk postsurgery [0.05 degrees]) compared with the CG (baseline [3.1 degrees] to 22 wk postsurgery [1.8 degrees]), with significant improvements noted (P=.001, Cohen d=3.1 vs 0.7), Knee Injury and Osteoarthritis Outcome Score subscales (pain, symptoms, activities of daily living, sport, and QOL), and JPS (mean absolute error 0.05 vs 1.8 degrees). Berg Balance Scale demonstrated significant gains in balance for the experimental group (baseline [34] to 22 wk postsurgery [53]) relative to the CG (baseline [37] to 22 wk postsurgery [48]), with substantial differences observed (P=.001, Cohen d=1.8 vs 0.4). The EuroQol 5-dimension 5-level questionnaire health-related QOL scores were markedly higher for the experimental group (baseline [45.4] to 22 wk postsurgery [88.1]) compared with the CG (baseline [42.8] to 22 wk postsurgery [70.9]), indicating substantial gains in overall health status (P=.001, Cohen d=2.4 vs 1.3). The IG also reported higher compliance, with 81.8% (18/22) achieving over 90% adherence compared with 68.18% (15/22) in the CG.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/st","PeriodicalId":14756,"journal":{"name":"JMIR mHealth and uHealth","volume":"13 ","pages":"e64643"},"PeriodicalIF":6.2,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12490816/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145212727","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
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