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Consumer-Grade Neurofeedback With Mindfulness Meditation: Meta-Analysis
For between-participant designs, we primarily calculated Becker’s del for effect sizes, which is the Cohen d for the mb NF group minus the Cohen d for the control group [93]. This provides a simple measure of the degree of differential change between the groups. In cases of incomplete reporting, we converted t tests or partial eta-squared to Cohen d. All effect sizes were converted using Hedges g correction, as many sample sizes were small.
J Med Internet Res 2025;27:e68204
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Two clients also revealed challenges with the pace of the course, with one explaining “You kind of feel like oh, I should get through this lesson quick because I have another one” and another stating, “It would sure be nice if I didn't have to give the survey on the module I hadn't done yet.”
ICBT is an effective and convenient mental health treatment among the general population [19,20]. To increase awareness of and access to ICBT, PSPNET was developed with and for PSP across Canada.
J Med Internet Res 2025;27:e72321
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The Application of AI to Ecological Momentary Assessment Data in Suicide Research: Systematic Review
J Med Internet Res 2025;27:e63192
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Therefore, we designed this study to (1) evaluate the effectiveness of the Immunize Pediatric Transplant app in achieving up-to-date vaccine status by the day of transplant (or conclusion of the study on April 1, 2024) and (2) explore app feasibility and acceptability amongst parent and provider users.
m Health Agile Development and Evaluation Lifecycle (adapted from Wilson et al [22]). m Health: mobile health.
JMIR Form Res 2025;9:e68855
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Participants were encouraged to engage with Smart Manage outside of scheduled sessions, using its resources to review session materials and independently practice intervention components at their own pace, thereby reinforcing the therapeutic process. The e MBMT program consists of eight 60-minute sessions led by a MT-BC. The sessions integrate MT and mindfulness attitudes (ie, nonjudging, patience, letting go, acceptance, trust, beginners mind, and nonstriving) developed by Kabat-Zinn [57].
JMIR Form Res 2025;9:e65188
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(C) and (D) Performance of training on BIDMC data and testing on MGH data. AUPRC: area under the precision-recall curve; AUROC: area under the receiver operating characteristic curve; BIDMC: Beth Israel Deaconess Medical Center; MGH: Mass General Hospital; PR: precision-recall; ROC: receiver operating characteristic.
Logistic regression coefficients from using the model trained with notes, ICDa codes, and medications. Unexpected results are discussed in the Error Analysis section.
JMIR Med Inform 2025;13:e64113
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