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Completion and Compliance Rates for an Intensive mHealth Study Design to Promote Self-Awareness and Self-Care Among Care Partners of Individuals With Traumatic Brain Injury: Secondary Analysis of a Randomized Controlled Trial

Completion and Compliance Rates for an Intensive mHealth Study Design to Promote Self-Awareness and Self-Care Among Care Partners of Individuals With Traumatic Brain Injury: Secondary Analysis of a Randomized Controlled Trial

We engaged a sample of care partners of individuals with TBI in an intensive study design that was of a longer duration (ie, a 12 mo study that included 6 mo of EMA PROs) [59]. In this study, participants completed a once-daily EMAs (3 items), wore a Fitbit, completed monthly surveys for 6 months, and completed follow-up surveys at 9 and 12 months.

Noelle E Carlozzi, Jonathan Troost, Wendy L Lombard, Jennifer A Miner, Christopher M Graves, Sung Won Choi, Zhenke Wu, Srijan Sen, Angelle M Sander

JMIR Mhealth Uhealth 2025;13:e73772

Comparison of 5-Day Multidaily Neuronavigated Theta-Burst Sessions With 6-Week Standard Repetitive Transcranial Magnetic Stimulation (the Dutch Depression Outcome Trial): Protocol for a Randomized Controlled Trial

Comparison of 5-Day Multidaily Neuronavigated Theta-Burst Sessions With 6-Week Standard Repetitive Transcranial Magnetic Stimulation (the Dutch Depression Outcome Trial): Protocol for a Randomized Controlled Trial

The risk of developing side effects in response to r TMS is low [4,9]; transient headaches and localized scalp pain are the most common side effects and are self‐limiting or eminently treatable with paracetamol, acetaminophen, or other analgesics. i TBS is a newer form of r TMS [10]. Magnetic pulses are applied in a certain pattern, called bursts. The basic element of theta-burst stimulation is a 3‐pulse burst at 50 Hz delivered every 200 ms (ie, 5 Hz).

Annemiek Dols, Tom Biemans, Coen Coomans, Philip van Eijndhoven, Iris Dalhuisen, Ysbrand D van der Werf, Chris Vriend, Elvira S Amaral Gomes, Alexander T Sack, Teresa Schuhmann, Mashood Chaudhry, Martijn Arns, Bethany Hipple Walters, Ben Wijnen, Andrew Zalesky, Robin Cash, Daniel M Blumberger, Karel WF Scheepstra, Adriaan W Hoogendoorn, Odile A van den Heuvel, Eric van Exel, The D-DOTT Consortium

JMIR Res Protoc 2025;14:e70121

Engagement Methods in Brain Tumor Genomic Research: Multimethod Comparative Study

Engagement Methods in Brain Tumor Genomic Research: Multimethod Comparative Study

Brief presentation of the topic or issues, followed by 3-4 breakout rooms with moderated live discussion using group facilitation techniques following a structured agenda with prompts. A series of 4 Facebook posts from the LGG team, 1 per day over the course of a week, in a private Facebook group. Posts included brief prompts, polls, links to external content, or graphics inviting commentary. Group members react asynchronously, typically in the 24-48 hours after the post is made.

Matthew DeCamp, Juliana G Barnard, Carly Ritger, Laura J Helmkamp, Anowara Begum, Sandra Garcia-Hernandez, Rudy Fischmann, Nestelynn Gay, Ricardo Gonzalez-Fisher, Kevin C Johnson, Lindsay A Lennox, Guy R Lipof, Jasmyn Ostmeyer, Ifeoma Perkins, Laura Pyle, Liz Salmi, Talia Thompson, Elizabeth B Claus, Roel Verhaak, Bethany M Kwan

J Particip Med 2025;17:e68852

Organizational Climate and Decision Aid Sustainability in Lupus Care: Mixed Methods Study

Organizational Climate and Decision Aid Sustainability in Lupus Care: Mixed Methods Study

Data collection took place during May-July 2022 via a cloud-based video conferencing service (Zoom; Zoom Communications). The average duration of the interviews was 20 (SD 10; range 10‐30) minutes. Either the study coordinator, the principal investigator, or both at each site clinic selected key informants from a variety of positions within a clinic to assure that a wide variety of perspectives on potential challenges to sustaining the DA was captured.

Aizhan Karabukayeva, Larry R Hearld, Nathan W Carroll, Reena Kelly, Jasvinder A Singh

JMIR Form Res 2025;9:e69603

Patient-Derived Design Principles for Technology-Enabled Healing at Home Following Hospital Discharge: Mixed Methods Study

Patient-Derived Design Principles for Technology-Enabled Healing at Home Following Hospital Discharge: Mixed Methods Study

In the United States, 2 in 5 hospital discharges of Medicare patients result in admission to a postacute care facility [1], despite evidence that most patients and caregivers have a strong preference for home-based postacute care [3].

Lindsey M Philpot, Abhinav Singla, Sagar B Dugani, Rachel E Canning, Christina M Smith, Meredith A DeZutter, Priya Ramar, Jennifer M P Hovell, Jon O Ebbert

JMIR Hum Factors 2025;12:e72913

A Cloud-Based Platform for Harmonized COVID-19 Data: Design and Implementation of the Rapid Acceleration of Diagnostics (RADx) Data Hub

A Cloud-Based Platform for Harmonized COVID-19 Data: Design and Implementation of the Rapid Acceleration of Diagnostics (RADx) Data Hub

The Data Hub’s approach to supporting data reusability and interoperability is built upon 4 key components: (1) a structured model organizing study data, metadata, and documentation; (2) an end-to-end pipeline for data collection and analysis; (3) a scalable, cloud-based system architecture; and (4) a comprehensive data and metadata harmonization framework.

Marcos Martínez-Romero, Matthew Horridge, Nilesh Mistry, Aubrie Weyhmiller, Jimmy K Yu, Alissa Fujimoto, Aria Henry, Martin J O'Connor, Ashley Sier, Stephanie Suber, Mete U Akdogan, Yan Cao, Somu Valliappan, Joanna O Mieczkowska, Ashok Krishnamurthy, Michael A Keller, Mark A Musen, RADx Data Hub Team

JMIR Public Health Surveill 2025;11:e72677

Sexual and Psychosocial Risk Burdens Associated With Online Sex Seeking Among Young Men Who Have Sex With Men: Cross-Sectional Study

Sexual and Psychosocial Risk Burdens Associated With Online Sex Seeking Among Young Men Who Have Sex With Men: Cross-Sectional Study

However, young MSM’s engagement with social networking apps to find sexual partners could also expose them to sexual networks with a high risk of transmission of diseases such as HIV, STIs, and mpox. Gay apps have been postulated to be a virtual risk environment for HIV and STIs; they are often analyzed as a binary exposure variable for HIV vulnerability [8].

Doug H Cheung, Worawalan Waratworawan, Michael C Clatts, Donn Colby, Giang Minh Le, Yamol Kongjareon, Lan Anh Thi Do, Thomas E Guadamuz

J Med Internet Res 2025;27:e59072

Exploring the Perspectives of Pediatric Health Care Providers, Youth Patients, and Caregivers on Machine Learning Suicide Risk Classification: Mixed Methods Study

Exploring the Perspectives of Pediatric Health Care Providers, Youth Patients, and Caregivers on Machine Learning Suicide Risk Classification: Mixed Methods Study

This work incorporates 2 studies that were part of a larger effort to understand a wide range of stakeholders’ perspectives on predictive models for suicide prevention, incorporating constructs from 3 disparate but complementary frameworks (Figure 1). We used a concurrent mixed methods study design to evaluate pediatric provider perspectives and a sequential mixed methods design to evaluate patient and caregiver perspectives [27].

Rohan R Dayal, Pua Lani Yang, Laura Nicole Sisson, Mira Bajaj, Shannon Archuleta, Sophie Yao, Daniel H Park, Hanae Fujii-Rios, Emily E Haroz

J Med Internet Res 2025;27:e57602

Predicting Postoperative Delirium in Older Patients Before Elective Surgery: Multicenter Retrospective Cohort Study

Predicting Postoperative Delirium in Older Patients Before Elective Surgery: Multicenter Retrospective Cohort Study

The study aimed to develop a prediction model in a naturalistic setting. Information regarding interventions was included only as a sensitivity analysis to demonstrate its potential impact on the prediction model. The potential imbalance of the dataset for all models was tested by oversampling with the Synthetic Minority Oversampling Technique [48].

Shun-Chin Jim Wu, Nitin Sharma, Anne Bauch, Hao-Chun Yang, Jasmine L Hect, Christine Thomas, Sören Wagner, Bernd R Förstner, Christine A F von Arnim, Tobias Kaufmann, Gerhard W Eschweiler, Thomas Wolfers, PAWEL Study Group

JMIR Aging 2025;8:e67958

User Archetypes of a Well-Being–Promoting Mobile App Among Adults: Cross-Sectional Study and Cluster Analysis of Usage Patterns

User Archetypes of a Well-Being–Promoting Mobile App Among Adults: Cross-Sectional Study and Cluster Analysis of Usage Patterns

This study was a part of the Feeling Good North Savo program [21]. The aim of the study was to explore the associations between the characteristics of participants and their likelihood of using a mobile app promoting well-being. Our assumption, based on the limited existing evidence, was that women, older people, and employed people—indicating a higher socioeconomic status—would be more interested in trying and using the app.

Hanna Rekola, Tommi Tolmunen, Elina Mattila, Juho Strömmer, Timo A Lakka, Helena Länsimies, Tomi Mäki-Opas

JMIR Mhealth Uhealth 2025;13:e68982