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Measuring Reliable Internet Connectivity Among Families with Children: Secondary Analysis of a US National Survey

Tran T Doan, Kelsey A Schweiberger, Samuel R Wittman, Tamar Krishnamurti, Sarah K Burns, Janel Hanmer, Kristin N Ray

J Med Internet Res 2025;27:e69304

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

Reference 34: EHDEN/cdminspection: r package to support quality control inspection of an OMOP-CDM instance

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

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Understanding Home Health Agencies' Perspectives Toward Telehealth Use Among Home Health Stakeholders in the Post–COVID-19 Era: Qualitative Interview Study

Daniel Spertus, Kiran Abraham-Aggarwal, Mark Aaron Unruh, Jiani Yu, Kathryn H Bowles, Michael P Thompson, Cisco Espinosa, Hye-Young Jung, Madeline R Sterling

J Med Internet Res 2025;27:e75861

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

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

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Gamification of Incentive Spirometry in Trauma Patients: Protocol for a Prospective, Observational Feasibility Study

Areen Al-Dhoon, Arthur Grimes, Carma Goldstein, Peter Spronk, R Shayn Martin, Aarti Sarwal

JMIR Res Protoc 2025;14:e75871

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

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

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

All analyses were performed using the JJ Allaire R Studio software (version 4.2.1, 2022; Posit, PBC). The study was approved by the University of Michigan Institutional Review Board with the approval number HUM00205760. Informed consent and the ability to opt out of the study were provided to the participants, and they consented and signed before they could participate in the study. Anonymized data containing no identifiable personal information were collected from the participants.

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

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