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Patient Perspectives on Open-Door Policies in Psychiatry: Mixed Methods Study

Timur Liwinski, Robert Davidson, Jan Sarlon, Rainer Gaupp, Lukas Imfeld, Annette B Brühl, Marc Vogel, Christian G Huber, Undine E Lang

J Med Internet Res 2025;27:e73610

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Attitudes, Perceptions, and Factors Influencing the Adoption of AI in Health Care Among Medical Staff: Nationwide Cross-Sectional Survey Study

In 2012, the UTAUT2 model was introduced, incorporating new variables such as hedonic motivation, price value, and habit. However, UTAUT2 is primarily suited to consumer behavior contexts and is not appropriate for explaining medical staff’s acceptance of medical AI in this study. Therefore, we used the original UTAUT model [55].

Qianqian Dai, Ming Li, Maoshu Yang, Shiwu Shi, Zhaoyu Wang, Jiaojiao Liao, Zhaoji Li, Weinan E, Liyuan Tao, Yi-Da Tang

J Med Internet Res 2025;27:e75343

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Assessing Physical Therapists’ Expectations and Experiences With an Automated Rehabilitation System Using Technology Acceptance Model: Multiple Methods Pilot Study

Cynthia Williams, Lindsay Toth, Raine Osborne, Chloe E Bailey, Aishwarya Joshi

JMIR Rehabil Assist Technol 2025;12:e67440

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

Participants were emailed a US $25 Amazon e-gift code. Study procedure flowchart. GSR: galvanic skin response; HR: heart rate; HRV: heart rate variability. The study was approved by the UCLA Institutional Review Board (#21‐000705), and the Clinical Trials.gov registry number was NCT0498465. Written informed consent was obtained. The privacy and confidentiality of research participants’ data and identity were maintained. Participants were compensated with US $25 Amazon gift cards.

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

JMIR Cardio 2025;9:e66557

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

The participants received a US $25 e-gift card as compensation for completing the full survey. To prevent fraud, provided emails were compared to those on the mailing and membership lists, and data from unknown individuals were not included. In the case of duplicates, only the first completed survey was included in the analysis. Deidentified survey responses, with all personally identifiable information removed, are available for secondary data analysis.

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

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Digitally Enabled AI-Interpreted Salivary Ferning–Based Ovulation Prediction: Feasibility Study

Participants were required to sign e-consent forms to provide informed consent. They were compensated US $50 for each menstrual cycle data provided (2 maximum) and US $75 for completing the conclusion survey, which was sent to all participants who were eligible and had consented.

Elizabeth Peebles, William Finlay, Thao-Mi Nguyen, Samuel Barrett, Prudhvi Thirumalaraju, Manoj Kumar Kanakasabapathy, Hemanth Kandula, Carrie Sarcione, Kaitlyn E James, Hadi Shafiee, Shruthi Mahalingaiah

J Med Internet Res 2025;27:e73028

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Use of a Medical Communication Framework to Assess the Quality of Generative Artificial Intelligence Replies to Primary Care Patient Portal Messages: Content Analysis

However, the “when” and “how” of applying Gen AI to respond to primary care messages is still in its formative period, with a high price of investment and uncertain impact. Viable solutions must reduce PCP burden while maintaining or enhancing patient care quality. Thoughtful evaluations in this early period are critical, both to inform decisions about investing in these tools and to direct their development and application in ways that contribute genuine value to primary care.

Natalie S Lee, Nathan Richards, Jodi Grandominico, Robert M Cronin, Amanda K Hendricks, Ravi S Tripathi, Daniel E Jonas

JMIR Form Res 2025;9:e71966

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

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

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