e.g. mhealth
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Skip search results from other journals and go to results- 71 Journal of Medical Internet Research
- 45 JMIR Public Health and Surveillance
- 29 JMIR Formative Research
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- 26 JMIRx Med
- 13 JMIR Medical Informatics
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There is, therefore, an opportunity to identify those who may be at elevated risk of suicide and intervene to prevent suicide deaths [4-6]. Toward this end, health care facilities use various risk identification tools, such as clinical judgment, brief screening, and risk assessment processes [7].
J Med Internet Res 2025;27:e57602
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Research has clearly demonstrated that positive psychological states are associated with a lower risk of cardiovascular disease (CVD) and mortality, while negative psychological factors such as chronic stress, anxiety, and depression can negatively impact cardiovascular health [1-10]. Further, chronic stress is associated with a 40%‐50% increase in the risk of coronary artery disease [4].
JMIR Cardio 2025;9:e66557
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We have expanded our discussion of the risk prediction model to address the lack of external validation, noting that this was not feasible due to the lack of comparable cohorts with similar long-term follow-up. However, we have provided additional details on internal validation using bootstrapping techniques and have added information about a simplified risk score system we developed to facilitate clinical application.
JMIRx Med 2025;6:e79672
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Peer Review of “Cardiotoxicity in Pediatric Cancer Survivorship: Retrospective Cohort Study”
The manuscript presents a risk prediction model (C statistic 0.78), but there is no external validation or discussion of its clinical applicability. Validate the model using an independent dataset (eg, a subset of Childhood Cancer Survivor Study data withheld from model training or another survivor cohort). Report calibration metrics (eg, Hosmer-Lemeshow test, calibration plots) to assess model accuracy. Provide a clinical risk score or decision framework for practical implementation.
JMIRx Med 2025;6:e79523
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Peer Review of “Cardiotoxicity in Pediatric Cancer Survivorship: Retrospective Cohort Study”
risk
JMIRx Med 2025;6:e79521
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Cardiotoxicity in Pediatric Cancer Survivorship: Retrospective Cohort Study
Develop a risk prediction model for cardiovascular complications in childhood cancer survivors based on identified risk factors.
Assess the impact of cardiovascular complications on overall survival and quality of life measures in the survivor cohort.
Explore potential cardioprotective factors or interventions associated with reduced risk of cardiovascular complications.
JMIRx Med 2025;6:e65299
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Many countries worldwide have embraced mammographic screening programs as a vital tool for identifying breast cancer in its early stages, significantly reducing the risk of associated mortality [2].
Despite the perceived advantages, numerous challenges remain in the interpretation of screening mammograms. First, the high volume of screenings, combined with the requirement for independent, blinded double-reading by radiologists, places significant pressure on the existing radiology workforce [3].
J Med Internet Res 2025;27:e62941
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To address this critical gap in digital health platform development, this study aimed to apply mixed evaluation methods to assess the development of a digital health platform that was exclusively developed by a research and development team working remotely during the COVID-19 pandemic to manage, monitor, and mitigate household risk of COVID-19.
JMIR Form Res 2025;9:e53339
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With over 300 million noncardiac surgeries performed annually, accurate preoperative risk assessment has become essential to optimize patient outcomes and reduce health care costs [5,6]. However, the predictive accuracy of traditional assessment tools is not consistently high, and various tools are used at different physicians’ discretion [7].
J Med Internet Res 2025;27:e66366
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Risk information is also sometimes conveyed in a featured text post, a scrolling video post, a risk information pop-up, or a highlighted story.
Many pharmaceutical companies place the risk information in multiple places on their social media pages and posts. However, even when this information is displayed in various locations, UI or UX features of social media platforms may still inhibit consumers’ ability to find, review, and comprehend the risk information.
J Med Internet Res 2025;27:e67361
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