Journal of Medical Internet Research最新文献

{"title":"The Prognostic Significance of Sleep and Circadian Rhythm for Myocardial Infarction Outcomes: Case-Control Study.","authors":"Wei-Chih Chin, Pao-Hsien Chu, Lung-Sheng Wu, Kuang-Tso Lee, Chen Lin, Chien-Te Ho, Wei-Sheng Yang, I-Hang Chung, Yu-Shu Huang","doi":"10.2196/63897","DOIUrl":"https://doi.org/10.2196/63897","url":null,"abstract":"<p><strong>Background: </strong>Myocardial infarction (MI) is a medical emergency resulting from coronary artery occlusion. Patients with acute MI often experience disturbed sleep and circadian rhythm. Most previous studies assessed the premorbid sleep and circadian rhythm of patients with MI and their correlations with cardiovascular disease. However, little is known about post-MI sleep and circadian rhythm and their impacts on prognosis. The use of actigraphy with different algorithms to evaluate sleep and circadian rhythm after acute MI has the potential for predicting outcomes and preventing future disease progression.</p><p><strong>Objective: </strong>We aimed to evaluate how sleep patterns and disrupted circadian rhythm affect the prognosis of MI, using actigraphy and heart rate variability (HRV). Nonparametric analysis of actigraphy data was performed to examine the circadian rhythm of patients.</p><p><strong>Methods: </strong>Patients with MI in the intensive care unit (ICU) were enrolled alongside age- and gender-matched healthy controls. Actigraphy was used to evaluate sleep and circadian rhythm, while HRV was monitored for 24 hours to assess autonomic nerve function. Nonparametric indicators were calculated to quantify the active-rest patterns, including interdaily stability, intradaily variability, the most active 10 consecutive hours (M10), the least active 5 consecutive hours (L5), the relative amplitude, and the actigraphic dichotomy index. Follow-ups were conducted at 3 and 6 months after discharge to evaluate prognosis, including the duration of current admission, the number and duration of readmission and ICU admission, and catheterization. Independent sample t tests and analysis of covariance were used to compare group differences. Pearson correlation tests were used to explore the correlations of the parameters of actigraphy and HRV with prognosis.</p><p><strong>Results: </strong>The study included 34 patients with MI (mean age 57.65, SD 9.03 years) and 17 age- and gender-matched controls. MI patients had significantly more wake after sleep onset, an increased number of awakenings, and a lower sleep efficiency than controls. Circadian rhythm analysis revealed significantly lower daytime activity in MI patients. Moreover, these patients had a lower relative amplitude and dichotomy index and a higher intradaily variability and midpoint of M10, suggesting less sleep and wake activity changes, more fragmentation of the rest-activity patterns, and a more delayed circadian rhythm. Furthermore, significant correlations were found between the parameters of circadian rhythm analysis, including nighttime activity, time of M10 and L5, and daytime and nighttime activity<sub>SD</sub>, and patient prognosis.</p><p><strong>Conclusions: </strong>Patients with acute MI experienced significantly worse sleep and disturbed circadian rhythm compared with healthy controls. Our actigraphy-based analysis revealed a disturbed circadian rhythm, includi","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"27 ","pages":"e63897"},"PeriodicalIF":5.8,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143189413","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}

{"title":"Reconstructing Risk Dimensions in Telemedicine: Investigating Technology Adoption and Barriers During the COVID-19 Pandemic in Taiwan.","authors":"Tzu-Chi Wu, Chien-Ta Ho","doi":"10.2196/53306","DOIUrl":"https://doi.org/10.2196/53306","url":null,"abstract":"<p><strong>Background: </strong>The COVID-19 pandemic has shifted health care toward virtual and online models, impacting both users and providers. Numerous user concerns and perceived risks related to telemedicine are continually evolving and adjusting in response to the pandemic. In many countries, there has been a substantial increase in the use of virtual health care visits, which offers a unique opportunity for researchers to explore these user concerns.</p><p><strong>Objective: </strong>This study aimed to first reconstruct the risk dimensions associated with telemedicine, then identify the risk factors affecting users' adoption, and finally propose effective solutions to mitigate these concerns. By integrating the newly constructed perceived risk with the technology acceptance model (TAM), we scrutinized various dimensions of perceived risk and their influence on users' perceptions of ease of use, perceived usefulness, and use intention (UI).</p><p><strong>Methods: </strong>Our target population consists of adults aged ≥18 years who have used or may use telemedicine services, recruited through an anonymous, voluntary, open, web-based survey. We collected responses and used part of them to reconstruct risk dimensions using exploratory factor analysis. Subsequently, we analyzed the intricate relationship between perceived risk, the TAM, and the acceptance of telemedicine using structural equation modeling with another part of the responses.</p><p><strong>Results: </strong>A total of 1600 valid responses were collected. Eight distinct risk dimensions were reconstructed, revealing a substantial negative impact of performance risk on UI. The psychological and social risk was the strongest barrier to the ease of using telemedicine. Time risk, provider risk, and privacy risk were not statistically significant to the TAM. The resulting model elucidates a remarkable 66% variance in UI for telemedicine services.</p><p><strong>Conclusions: </strong>This study substantially advances the field of telemedicine research by reconstructing and redefining 8 risk dimensions and confirming the statistical significance of 5 perceived risks on the adoption of telemedicine services. These insights are poised to facilitate the promotion and enhancement of telemedicine services in the health care sector.</p>","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"27 ","pages":"e53306"},"PeriodicalIF":5.8,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143122970","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}

{"title":"Effectiveness of a Web-Based Self-Guided Intervention (MINDxYOU) for Reducing Stress and Promoting Mental Health Among Health Professionals: Results From a Stepped-Wedge Cluster Randomized Trial.","authors":"Yolanda López-Del-Hoyo, Selene Fernández-Martínez, Adrian Perez-Aranda, Alicia Monreal-Bartolomé, Alberto Barceló-Soler, Loreto Camarero-Grados, Carilene Armas-Landaeta, José Guzmán-Parra, Vera Carbonell, Daniel Campos, Xinyuan Chen, Javier García-Campayo","doi":"10.2196/59653","DOIUrl":"10.2196/59653","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;The high levels of sustained stress that health professionals often experience are a significant risk factor for developing mental health problems, such as anxiety, depression, and somatic symptoms, that not only affect their well-being but also have major social and organizational consequences. Different interventions, including those based on third-wave psychotherapy principles (ie, mindfulness, compassion, and acceptance), have proven to be effective in reducing stress in this population. Among them, those delivered on the web constitute a promising alternative with notable advantages in accessibility and flexibility, but some adherence inconveniences may limit their efficacy.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This study aimed to evaluate the effectiveness of the MINDxYOU program, a web-based self-guided intervention based on third-wave psychotherapy principles, to reduce perceived stress and promote mental health in a sample of health professionals.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;In a stepped-wedge cluster randomized design, 357 health professionals from health centers in Aragon and Málaga, Spain, were recruited. They were divided into 6 clusters-3 per region-and randomly assigned to 1 of the 3 sequences, each starting with a control phase and then transitioning to the intervention phase (the MINDxYOU program) after 8, 16, or 24 weeks. This self-guided, web-based program, designed to be completed over 8 weeks, included weekly contact (via WhatsApp, call, or email) from the research team to promote adherence. Participants were assessed on the web every 8 weeks for 5 assessments. Perceived stress was the study's primary outcome, with additional measures of clinical factors (anxiety, depression, and somatization) and process variables (resilience, mindfulness, compassion, and acceptance).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The program was initiated by 229 participants, 112 (48.9%) of whom were completers (ie, completed at least 3 of the 4 modules). Perceived stress demonstrated a significant reduction both when considering the entire sample (β=-1.08, SE 0.51; P=.03) and the sample of completers (β=-1.84, SE 0.62; P=.003). The proportion of participants reflecting \"low stress\" increased after the treatment (n=90, 46.6% vs n=100, 28.8% at baseline). Intracluster analysis revealed that pre- versus postintervention moderate effects were present in 2 clusters (Cohen d=0.46 and 0.62), and these were maintained in subsequent assessments. The linear mixed-effects models also showed that depression, anxiety, and somatization, as well as resilience, self-compassion, and some mindfulness facets, experienced significant improvements (P&lt;.05) when comparing the intervention and control phases.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;The MINDxYOU program was effective in reducing perceived stress and promoting mental health, as well as increasing resilience, mindfulness facets, and self-compassion. These effects suggest that participa","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"27 ","pages":"e59653"},"PeriodicalIF":5.8,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143080271","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}

{"title":"Problems and Barriers Related to the Use of AI-Based Clinical Decision Support Systems: Interview Study.","authors":"Godwin Denk Giebel, Pascal Raszke, Hartmuth Nowak, Lars Palmowski, Michael Adamzik, Philipp Heinz, Marianne Tokic, Nina Timmesfeld, Frank Brunkhorst, Jürgen Wasem, Nikola Blase","doi":"10.2196/63377","DOIUrl":"10.2196/63377","url":null,"abstract":"<p><strong>Background: </strong>Digitalization is currently revolutionizing health care worldwide. A promising technology in this context is artificial intelligence (AI). The application of AI can support health care providers in their daily work in various ways. The integration of AI is particularly promising in clinical decision support systems (CDSSs). While the opportunities of this technology are numerous, the problems should not be overlooked.</p><p><strong>Objective: </strong>This study aimed to identify challenges and barriers in the context of AI-based CDSSs from the perspectives of experts across various disciplines.</p><p><strong>Methods: </strong>Semistructured expert interviews were conducted with different stakeholders. These included representatives of patients, physicians and caregivers, developers of AI-based CDSSs, researchers (studying AI in health care and social and health law), quality management and quality assurance representatives, a representative of an ethics committee, a representative of a health insurance fund, and medical product consultants. The interviews took place on the web and were recorded, transcribed, and subsequently subjected to a qualitative content analysis based on the method by Kuckartz. The analysis was conducted using MAXQDA software. Initially, the problems were separated into \"general,\" \"development,\" and \"clinical use.\" Finally, a workshop within the project consortium served to systematize the identified problems.</p><p><strong>Results: </strong>A total of 15 expert interviews were conducted, and 309 expert statements with reference to problems and barriers in the context of AI-based CDSSs were identified. These emerged in 7 problem categories: technology (46/309, 14.9%), data (59/309, 19.1%), user (102/309, 33%), studies (17/309, 5.5%), ethics (20/309, 6.5%), law (33/309, 10.7%), and general (32/309, 10.4%). The problem categories were further divided into problem areas, which in turn comprised the respective problems.</p><p><strong>Conclusions: </strong>A large number of problems and barriers were identified in the context of AI-based CDSSs. These can be systematized according to the point at which they occur (\"general,\" \"development,\" and \"clinical use\") or according to the problem category (\"technology,\" \"data,\" \"user,\" \"studies,\" \"ethics,\" \"law,\" and \"general\"). The problems identified in this work should be further investigated. They can be used as a basis for deriving solutions to optimize development, acceptance, and use of AI-based CDSSs.</p><p><strong>International registered report identifier (irrid): </strong>RR2-10.2196/preprints.62704.</p>","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"27 ","pages":"e63377"},"PeriodicalIF":5.8,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143080276","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}

{"title":"Colorectal Cancer Racial Equity Post Volume, Content, and Exposure: Observational Study Using Twitter Data.","authors":"Chau Tong, Drew Margolin, Jeff Niederdeppe, Rumi Chunara, Jiawei Liu, Lea Jih-Vieira, Andy J King","doi":"10.2196/63864","DOIUrl":"https://doi.org/10.2196/63864","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Racial inequity in health outcomes, particularly in colorectal cancer (CRC), remains one of the most pressing issues in cancer communication and public health. Social media platforms like Twitter (now X) provide opportunities to disseminate health equity information widely, yet little is known about the availability, content, and reach of racial health equity information related to CRC on these platforms. Addressing this gap is essential to leveraging social media for equitable health communication.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This study aims to analyze the volume, content, and exposure of CRC racial health equity tweets from identified CRC equity disseminator accounts on Twitter. These accounts were defined as those actively sharing information related to racial equity in CRC outcomes. By examining the behavior and impact of these disseminators, this study provides insights into how health equity content is shared and received on social media.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;We identified accounts that posted CRC-related content on Twitter between 2019 and 2021. Accounts were classified as CRC equity disseminators (n=798) if they followed at least 2 CRC racial equity organization accounts. We analyzed the volume and content of racial equity-related CRC tweets (n=1134) from these accounts and categorized them by account type (experts vs nonexperts). Additionally, we evaluated exposure by analyzing follower reach (n=6,266,269) and the role of broker accounts-accounts serving as unique sources of CRC racial equity information to their followers.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Among 19,559 tweets posted by 798 CRC equity disseminators, only 5.8% (n=1134) mentioned racially and ethnically minoritized groups. Most of these tweets (641/1134, 57%) addressed disparities in outcomes, while fewer emphasized actionable content, such as symptoms (11/1134, 1%) or screening procedures (159/1134, 14%). Expert accounts (n=479; 716 tweets) were more likely to post CRC equity tweets compared with nonexpert accounts (n=319; 418 tweets). Broker accounts (n=500), or those with a substantial portion of followers relying on them for equity-related information, demonstrated the highest capacity for exposing followers to CRC equity content, thereby extending the reach of these critical messages to underserved communities.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;This study emphasizes the critical roles played by expert and broker accounts in disseminating CRC racial equity information on social media. Despite the limited volume of equity-focused content, broker accounts were crucial in reaching otherwise unexposed audiences. Public health practitioners should focus on encouraging equity disseminators to share more actionable information, such as symptoms and screening benefits, and implement measures to amplify the reach of such content on social media. Strengthening these efforts could help bridge disparities in cancer outcomes among ra","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"27 ","pages":"e63864"},"PeriodicalIF":5.8,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143122960","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}

{"title":"Publication Counts in Context: Normalization Using Query and Reference Terms in PubMed.","authors":"Julian Varghese, Lucas Bickmann, Timo Strünker, Nina Neuhaus, Frank Tüttelmann, Sarah Sandmann","doi":"10.2196/60616","DOIUrl":"https://doi.org/10.2196/60616","url":null,"abstract":"<p><p>This article discusses the extensive use of publication counts as indicators of trends in the scientific activities of individual researchers, research groups, and entire disciplines. However, with the growing number of articles in general, these counts might produce false impressions among scientists. We propose a straightforward yet effective normalization method, which enables further context of publication counts by using a query and a reference term. Additionally, an open access implementation is readily available on the PubMed Normalization website.</p>","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"27 ","pages":"e60616"},"PeriodicalIF":5.8,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143122967","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}

{"title":"Dynamic Augmented Reality Cues for Telementoring in Minimally Invasive Surgeries: Scoping Review.","authors":"Hawa Hamza, Omar M Aboumarzouk, Abdulla Al-Ansari, Nikhil V Navkar","doi":"10.2196/63939","DOIUrl":"10.2196/63939","url":null,"abstract":"<p><strong>Background: </strong>Remote surgeons use telementoring technologies to provide real-time guidance during minimally invasive surgeries (MIS). Such technologies are continuously improving with the integration of dynamic augmented reality (AR) cues. This includes virtual overlays of hand gestures, pointers, and surgical tools onto the operating surgeon's view. The operating surgeon comprehends this augmented information to operate on the patient. Thus, understanding these dynamic AR cues (either during surgical training or live surgery) is crucial.</p><p><strong>Objective: </strong>In this paper, we aimed to review the existing telementoring technologies that use dynamic AR cues during MIS. This review describes the MIS (including surgery type, specialty, procedure, and clinical trial), the telementoring system, the dynamic AR cues generated by these systems, and evaluation of the technology in terms of technical aspects, user perceptions, skills gained, and patient outcomes.</p><p><strong>Methods: </strong>A scoping review was conducted using PubMed, Web of Science, Scopus, IEEE Xplore, and ACM Digital Library databases. The search terms included \"telementoring,\" \"minimally invasive surgery,\" and \"augmented reality\" without restrictions imposed on the publication year. Articles covering telementoring using dynamic AR cues during MIS, including laparoscopic and robot-assisted, were identified.</p><p><strong>Results: </strong>A total of 21 articles were included and categorized based on type of surgery, the telementoring technology used, and evaluation of the technology. Most of the articles reported on laparoscopic suturing performed using synthetic phantoms. Hand gestures and surgical tools were the most frequently used dynamic AR cues (10 articles on each cue), while the mentors and mentees primarily consisted of experienced surgeons and medical students. The studies assessing the telementoring technologies were either descriptive (7 articles) or analytical (14 articles) where it was compared against no cue, prerecorded visual cue, in-person guidance, audio cue, or static AR cue. Outcomes were measured mostly using skills gained (13 articles) and user perception about the telementoring system.</p><p><strong>Conclusions: </strong>In general, telementoring using dynamic AR cues resulted in positive outcomes during MIS. In some cases, they were considered on par with conventional methods such as audio cues and in-person guidance. Further randomized controlled trials are required to objectively assess its clinical benefits.</p>","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"27 ","pages":"e63939"},"PeriodicalIF":5.8,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143080269","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}

{"title":"Authors' Reply: Advancing Insights Into Postoperative Sleep Quality and Influencing Factors.","authors":"Chen Shang, Ya Yang, Chengcheng He, Junqi Feng, Yan Li, Meimei Tian, Zhanqi Zhao, Yuan Gao, Zhe Li","doi":"10.2196/70168","DOIUrl":"https://doi.org/10.2196/70168","url":null,"abstract":"","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"27 ","pages":"e70168"},"PeriodicalIF":5.8,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143122851","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}

{"title":"Advancing Insights Into Postoperative Sleep Quality and Influencing Factors.","authors":"Yining Zhao, Xin Hu","doi":"10.2196/69193","DOIUrl":"https://doi.org/10.2196/69193","url":null,"abstract":"","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"27 ","pages":"e69193"},"PeriodicalIF":5.8,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143122938","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}

{"title":"Correction: Teledentistry Applied to Health and Education Outcomes: Evidence Gap Map.","authors":"Júlia Nascimento da Silva Mulder, Marcelo Ramos Pinto, Isabelle Aníbal, Ana Paula Dornellas, Deise Garrido, Camila Huanca, Ana Estela Haddad, Carmen Verônica Mendes Abdala","doi":"10.2196/71577","DOIUrl":"https://doi.org/10.2196/71577","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.2196/60590.].</p>","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"27 ","pages":"e71577"},"PeriodicalIF":5.8,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143122963","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}