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To develop a more comprehensive understanding of these challenges, it is essential to analyze posts that involve multiple, overlapping themes and reflect the complexity of real-world experiences.
We address this research gap by proposing a theme-driven framework that provides a labeled dataset. A comprehensive analysis is performed on this dataset, covering multiple themes of TINs and capturing Reddit post data from thousands of affected individuals.
J Med Internet Res 2025;27:e68886
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As the PGHD database evolves and lessons are learned from researchers, field testers, and pilot projects, the goal will be to integrate PGHD into fundamental clinical workflows and build a knowledge base for where integration provides the greatest value.
Data collected in the PGHD database are guided by a series of VHA policy and strategy documents, the development of which was overseen by the Office of Connected Care [9].
J Med Internet Res 2025;27:e70755
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We conducted a feasibility randomized controlled trial to determine the acceptability of our m Health app [14]. A multipurpose m Health app can allow patients to monitor and track their pain, but additional features can increase app usage and engagement in their disease.
JMIR Form Res 2025;9:e67906
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In “Toward a Domain-Overarching Metadata Schema for Making Health Research Studies FAIR (Findable, Accessible, Interoperable, and Reusable): Development of the NFDI4 Health Metadata Schema” (JMIR Med Inform 2025;13:e63906) the following corrections have been made.
Author Hannes Wünsche was erroneously included in the authorship list. Hence, their name and affiliation have been removed.
JMIR Med Inform 2025;13:e78151
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In this paper, we test a brief, web-based well-being intervention, the Big Joy Project, on a large global sample to examine the impact of sociodemographic factors.
Emotional well-being is a multidimensional composite that includes both the quality of momentary experiences and broader life judgments [7]. Emotional well-being is intimately associated with mental and physical health [4,5,11,12].
J Med Internet Res 2025;27:e72053
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Personal Health Record Software for Neuroendocrine Tumors: Patient-Centered Design Approach
In order for PHR software to successfully play a data gathering role for research studies it needs to provide a valuable service to patients, otherwise patients are less likely to use it [9,13]. Ideally, PHR software used for research studies would follow a model similar to that followed by free online services: users get a valuable service in exchange for their personal data.
JMIR Hum Factors 2025;12:e68788
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Some studies indicate that younger patients may be more likely to use a digital PP [24,25], while another suggests older patients to be in favor [26]. In this context, a more detailed differentiation would be interesting. Furthermore, some studies suggest that individuals with a lower level of education [27] are more likely to use a digital PP, while other studies indicate that individuals with a higher level of education might be in favor [28,29].
J Med Internet Res 2025;27:e68091
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An initial CLIQ framework was developed through a systematic review and qualitative synthesis of existing information quality frameworks for DHTs [11]. A CLIQ assessment questionnaire was then developed based on the CLIQ framework and further evidence from literature [21]. The questionnaire offers a pragmatic approach to assessing clinical information in DHTs based on relatable clinical scenarios.
JMIR Med Inform 2025;13:e58125
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Suicide is a common cause of premature mortality among people living with schizophrenia [3,4] and a recent systematic review has reported a point prevalence of nearly 30% of SIs in people with schizophrenia [5].
Most of the empirical research on the risks of suicidality includes cross-sectional or retrospective studies that distinguish the characteristics between people who experience SIs or suicidal behavior, and those who do not [6-8].
JMIR Form Res 2025;9:e67745
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Due to potential limited computing infrastructures available to generate real-time predictions based on ML algorithms (eg, random forest) in some clinical settings, we also implemented a simplified version of the prediction approach described above in which we restricted the library of candidate predictors to a main-term logistic regression using training data pooled across all 8 quarters. This is equivalent to a classical discrete-time survival model with a logit link function [36].
JMIR Diabetes 2025;10:e60141
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