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Virtual Patients Using Large Language Models: Scalable, Contextualized Simulation of Clinician-Patient Dialogue With Feedback

Virtual Patients Using Large Language Models: Scalable, Contextualized Simulation of Clinician-Patient Dialogue With Feedback

Response options for all items ranged from 1=strongly disagree to 6=strongly agree. b GPT: generative pretrained transformer. c This contrast was selected for reporting post hoc, after the omnibus test across all human clinician personas revealed statistically significant differences (P≤.03) for all outcomes except feedback.

David A Cook, Joshua Overgaard, V Shane Pankratz, Guilherme Del Fiol, Chris A Aakre

J Med Internet Res 2025;27:e68486

Comparison of Smart Display Versus Laptop Platforms for an eHealth Intervention to Improve Functional Health for Older Adults With Multiple Chronic Conditions: Protocol for a Randomized Clinical Trial

Comparison of Smart Display Versus Laptop Platforms for an eHealth Intervention to Improve Functional Health for Older Adults With Multiple Chronic Conditions: Protocol for a Randomized Clinical Trial

Results indicated that 282 participants after attrition would be needed for 80% power (P With regard to power for moderation analyses, we ran a sensitivity analysis to compute the smallest effect size our study would be powered to find using 280 given 4 groups (eg, 2 study arms × 2 genders). With N=280, G*Power calculations [63] show our study would have a 95% chance (with P Patients will complete surveys at baseline, 6, 12, and 18 months.

David H Gustafson Sr, Marie-Louise Mares, Darcie C Johnston, John J Curtin, Klaren Pe-Romashko, Gina Landucci

JMIR Res Protoc 2025;14:e64449

A Remote Intervention Based on mHealth and Community Health Workers for Antiretroviral Therapy Adherence in People With HIV: Pilot Randomized Controlled Trial

A Remote Intervention Based on mHealth and Community Health Workers for Antiretroviral Therapy Adherence in People With HIV: Pilot Randomized Controlled Trial

No significant differences were observed between the groups at baseline (P=.81) or follow-up (P=.64), and no significant within-group changes were observed over time (control: P=.52 and intervention: P=.07; Figure 5). The overall scale had excellent internal consistency, with Cronbach α=0.95 at baseline and Cronbach α=0.98 at follow-up [52].

Shivesh Shourya, Jianfang Liu, Sophia McInerney, Trinity Casimir, James Kenniff, Trace Kershaw, David Batey, Rebecca Schnall

JMIR Form Res 2025;9:e67997

Innovating Care for Postmenopausal Women Using a Digital Approach for Pelvic Floor Dysfunctions: Prospective Longitudinal Cohort Study

Innovating Care for Postmenopausal Women Using a Digital Approach for Pelvic Floor Dysfunctions: Prospective Longitudinal Cohort Study

Statistical significance was defined as P Of the 3684 participants screened for eligibility, 633 participants were excluded (346 declined participation and 287 did not meet eligibility criteria; Figure 2). The program started with 3051 participants, of which 2367 participants completed it, translating into a completion rate of 77.6%. Study flowchart.

Ana P Pereira, Dora Janela, Anabela C Areias, Maria Molinos, Xin Tong, Virgílio Bento, Vijay Yanamadala, Jennesa Atherton, Fernando Dias Correia, Fabíola Costa

JMIR Mhealth Uhealth 2025;13:e68242

Digital Ergonomics of NavegApp, a Novel Serious Game for Spatial Cognition Assessment: Content Validity and Usability Study

Digital Ergonomics of NavegApp, a Novel Serious Game for Spatial Cognition Assessment: Content Validity and Usability Study

Analysis using Cramér V indicated a moderate association between the perception of agreeableness and difficulty for each task (χ24=16.5; P=.002; V=0.37, 95% CI 0.28-0.54). Further examination of the frequency distribution indicated that as tasks were perceived as more difficult, participants found them less agreeable. Figure 4 displays the difficulty (Figure 4 A) and agreeableness (Figure 4 B) perception by task. Agreeableness and difficulty perception by task.

Juan Pablo Sanchez-Escudero, David Aguillon, Stella Valencia, Mauricio A Garcia-Barrera, Daniel Camilo Aguirre-Acevedo, Natalia Trujillo

JMIR Serious Games 2025;13:e66167