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Feasibility and Acceptability of a mHealth Patient Navigation Intervention to Increase Pre-Exposure Prophylaxis Uptake in Racially and Ethnically Diverse Sexual and Gender Minority Youth in Los Angeles (PrEPresent): Pilot Randomized Controlled Trial

Feasibility and Acceptability of a mHealth Patient Navigation Intervention to Increase Pre-Exposure Prophylaxis Uptake in Racially and Ethnically Diverse Sexual and Gender Minority Youth in Los Angeles (PrEPresent): Pilot Randomized Controlled Trial

Baseline demographic characteristics of sexual and gender minority youth in the Pr EPresent studya,b. a2 “Decline to answer” in control. b1 “Don’t know” in intervention. The Patient Activation Measure was used, with a Cronbach α of 0.93, to measure participants’ activation at each survey timepoint [29]. Both study arms scored within the high-level activation category (category 4, defined as 67.1‐100 points) at baseline. Patient activation scores remained stable across both arms over the 3 months (Table 2).

Sam Calvetti, Bryan Lei, Jacob B Stocks, Matthew T Rosso, Manuel Puentes, Ramon Durazo-Arvizu, Lindsay Slay, Michele D Kipke, Lisa B Hightow-Weidman

JMIR Form Res 2025;9:e69255


Variation in Telehealth Use for Patients With Incident Atrial Fibrillation Across the Veterans Health Administration: Retrospective Cohort Study

Variation in Telehealth Use for Patients With Incident Atrial Fibrillation Across the Veterans Health Administration: Retrospective Cohort Study

Percentage of visits offered via phone, video, or all telehealth modes within 90 days of new outpatient diagnoses of atrial fibrillation among veterans nationwide from October 2018 to September 2023: (A) primary care (n=176,572 visits) and (B) cardiology care (n=45,387 visits).

Rebecca Lauren Tisdale, Neil M Kalwani, Harrison Koos, Jun Fan, Natasha Din, Alexander C Perino, David C Chan, Alexander Tarlochan Sandhu, Paul A Heidenreich

J Med Internet Res 2025;27:e76177


AI Awareness and Tobacco Policy Messaging Among US Adults: Electronic Experimental Study

AI Awareness and Tobacco Policy Messaging Among US Adults: Electronic Experimental Study

A linear regression analysis revealed that being told the narrator was human was significantly associated with higher speaker ratings compared to being told the narrator was AI (B=0.69; P=.003; F13,125=2.78; P=.002). Similarly, positive AI attitudes were also associated with higher speaker ratings (B=0.40; P The results from the qualitative comment analysis produced 4 themes, including Vaping Outcomes, Video Negative Content, Voice, and Video Positive Content.

Julia Mary Alber, David Askay, Anuraj Dhillon, Lauren Sandoval, Sofia Ramos, Katharine Santilena

JMIR AI 2025;4:e72987