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Advancing Real-World Evidence Through a Federated Health Data Network (EHDEN): Descriptive Study

Advancing Real-World Evidence Through a Federated Health Data Network (EHDEN): Descriptive Study

Any organization with access to a data source in Europe could apply to be included in the EHDEN network. In this context, a data source is defined as a distinct repository of health care-related data pertaining to a specific set of individuals. Except for the COVID-19 Rapid Collaboration Call, the 7 DP calls executed between September 2019 and October 2022 were aligned to similar timelines for DP identification, grant awarding, and initiation of data harmonization (Figure 1).

Clair Blacketer, Martijn J Schuemie, Maxim Moinat, Erica A Voss, Montse Camprubi, Peter R Rijnbeek, Patrick B Ryan

J Med Internet Res 2025;27:e74119

Virtual Reality for Pediatric Postoperative Pain Management: Exploring Methods and Efficacy

Virtual Reality for Pediatric Postoperative Pain Management: Exploring Methods and Efficacy

In a single-center, prospective, pilot study, Olbrecht et al [15] provided a single VR-D session to 50 children after surgery, providing them the option to play 1 of several VR games.

Sidhant Kalsotra, Dillon Froass, Aneesha Gupta, Sebastian Amaya, Joseph D Tobias, Vanessa A Olbrecht

J Med Internet Res 2025;27:e68348

What Matters Most to Veterans When Deciding to Use Technology for Health: Cross-Sectional Analysis of a National Survey

What Matters Most to Veterans When Deciding to Use Technology for Health: Cross-Sectional Analysis of a National Survey

Data collection did not focus on a specific clinical setting. Veterans invited to the cohort were active users of VHA health care and technology users, defined as owning a cellular phone and having sent ≥5 secure messages through My Healthe Vet in the previous year [26,27]. VET-C surveys were collected between 2017-2018, 2019-2020, and 2021-2022.

Bella Etingen, Bridget M Smith, Stephanie L Shimada, Stephanie A Robinson, Robin T Higashi, Ndindam Ndiwane, Kathleen L Frisbee, Jessica M Lipschitz, Eric Richardson, Dawn Irvin, Timothy P Hogan

JMIR Form Res 2025;9:e77113

Novel Virtual Reality Intervention for Stress Reduction Among Patients With or at Risk for Cardiovascular Disease: Mixed Methods Pilot Study

Novel Virtual Reality Intervention for Stress Reduction Among Patients With or at Risk for Cardiovascular Disease: Mixed Methods Pilot Study

Virtual reality (VR) is a technology that provides an immersive experience of a computer-generated, 3 D image or environment using a head-mounted display. VR has presented a low-risk way to interrupt the brain’s “default mode network” (DMN), which is a particular set of brain structures that underlie the negative mental states marked by worry, rumination, and stress [15-18].

Katherine E Makaroff, Christopher Van, Vincent Grospe, Lynae Edmunds, Marcella A Calfon-Press, Karol E Watson, Tamara Horwich

JMIR Cardio 2025;9:e66557

Variability in the Diagnosis and Treatment of Interstitial Cystitis/Bladder Pain Syndrome: Internet Survey

Variability in the Diagnosis and Treatment of Interstitial Cystitis/Bladder Pain Syndrome: Internet Survey

Emerging evidence suggests a potential variation in the natural history of IC/BPS across racial and ethnic groups. For instance, Black individuals with IC/BPS report a greater degree of urinary urgency compared to their White counterparts and are more likely to be diagnosed at a younger age [19,20].

Eleanora Melkonian, A Leigh Garrett, Erika Kline, Pressley Smith, Madelyn Wiesenhahn, Jeanette Petit, Alison Swierczynski, Carley Zhou, Stuart B Bauer, Rosalyn Adam, Kamil E Barbour, Sonja I Ziniel, Catherine A Brownstein

JMIR Form Res 2025;9:e70813

Usability Testing of an Internet-Based Responsive Parenting Program for Caregivers of Young Survivors of Childhood Cancer Living in Rural and Appalachian Communities: Mixed Methods Study

Usability Testing of an Internet-Based Responsive Parenting Program for Caregivers of Young Survivors of Childhood Cancer Living in Rural and Appalachian Communities: Mixed Methods Study

Survival rates for most types of childhood cancers have fortunately risen to over 80%, resulting in a growing cohort of nearly half a million childhood cancer survivors in the United States [1]. However, life-saving cancer treatments, such as chemotherapy and radiation, can be detrimental to a child’s development and lead to a host of chronic health needs for up to two-thirds of survivors, termed late effects [1].

Emily L Moscato, Eva Darow, Jessica Quach, Adrien M Winning, Matthew Schmidt, Shari L Wade, Cynthia A Gerhardt, Emre Sezgin

JMIR Pediatr Parent 2025;8:e70055

Experiences With a Multicomponent Digital Behavioral Pain Management Intervention for Adults With Sickle Cell Disease: Qualitative Analysis of the CaRISMA Trial

Experiences With a Multicomponent Digital Behavioral Pain Management Intervention for Adults With Sickle Cell Disease: Qualitative Analysis of the CaRISMA Trial

The Ca RISMA trial enrolled adults with SCD who reported chronic pain (ie, pain at least 4 days a week over the past 3 months or longer). Participants of the Ca RISMA trial were recruited from 7 comprehensive sickle cell centers and from 4 community-based organizations, either virtually or in person. Participants were randomized 1:1 to either the digital CBT or Education arm. Both arms had access to a health coach and a chat system via a chatbot.

Olubusola B Oluwole, Lakeya S McGill, Kadeem Gayle, Julia A O'Brien, Kaleab Z Abebe, Charles R Jonassaint, Megan Hamm

JMIR Hum Factors 2025;12:e73719

Role and Use of Race in Artificial Intelligence and Machine Learning Models Related to Health

Role and Use of Race in Artificial Intelligence and Machine Learning Models Related to Health

The role and use of the social construct of race within health-related artificial intelligence (AI) and machine learning (ML) models have become a subject of increased attention and controversy. As noted in the National Academies’ recent report “Ending Unequal Treatment,” it is increasingly clear that race in all its complexity is a powerful predictor of unequal treatment and health care outcomes [1].

Martin C Were, Ang Li, Bradley A Malin, Zhijun Yin, Joseph R Coco, Benjamin X Collins, Ellen Wright Clayton, Laurie L Novak, Rachele Hendricks-Sturrup, Abiodun O Oluyomi, Shilo Anders, Chao Yan

J Med Internet Res 2025;27:e73996

eHealth Literacy and Participation in Remote Blood Pressure Monitoring Among Patients With Hypertension: Cross-Sectional Study

eHealth Literacy and Participation in Remote Blood Pressure Monitoring Among Patients With Hypertension: Cross-Sectional Study

Hypertension has remained a public health concern in the American adult population. Hypertension, defined as systolic blood pressure (BP) ≥130 mm Hg or diastolic BP ≥80 mm Hg or both, has a prevalence of 46.7%, and control (systolic BP Over the years, several models and scales of e-HL have been proposed to measure e-HL [6-20]. There is currently no gold standard for e-HL measurement.

Chinwe E Eze, Michael P Dorsch, Antoinette B Coe, Corey A Lester, Lorraine R Buis, Karen B Farris

J Med Internet Res 2025;27:e71926

Data Collection for Automatic Depression Identification in Spanish Speakers Using Deep Learning Algorithms: Protocol for a Case-Control Study

Data Collection for Automatic Depression Identification in Spanish Speakers Using Deep Learning Algorithms: Protocol for a Case-Control Study

This might lead to a potential bias if recordings of both classes were done in different rooms (ie, recording participants with depression in a clinic and those with depression in an office or studio) as room acoustics have a significant impact on voice recordings [18].

Luis F Brenes, Luis A Trejo, Jose Antonio Cantoral-Ceballos, Daniela Aguilar-De León, Fresia Paloma Hernández-Moreno

JMIR Res Protoc 2025;14:e60439