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Evaluating the Effectiveness of a Mobile HIV Prevention App to Increase HIV and Sexually Transmitted Infection Testing and Pre-Exposure Prophylaxis Initiation Among Rural Men Who Have Sex With Men in the Southern United States: Protocol for a Randomized Controlled Trial

Evaluating the Effectiveness of a Mobile HIV Prevention App to Increase HIV and Sexually Transmitted Infection Testing and Pre-Exposure Prophylaxis Initiation Among Rural Men Who Have Sex With Men in the Southern United States: Protocol for a Randomized Controlled Trial

Example screenshots of the Study Management and Retention Tool (SMa RT) web application, including the different Combine intervention content sections: (A) log in screen, (B) study timeline, (C) intervention content home screen, (D), health resources section, (E) frequently asked questions about pre-exposure prophylaxis. This section includes the major time points of the study (baseline, month 6, month 12, month 18, and month 24). It allows participants to see upcoming and previously completed surveys.

Jeb Jones, Georgia Manley, Tiffany R Glynn, Kristin M Wall, Stefan D Baral, E Danny Harris, David Benkeser, Patrick S Sullivan

JMIR Res Protoc 2025;14:e69540

Natural Language Processing for Identification of Hospitalized People Who Use Drugs: Cohort Study

Natural Language Processing for Identification of Hospitalized People Who Use Drugs: Cohort Study

The presence of any of the following criteria (ie, abbreviated with the letters B, D, M, and N) were used to qualify the hospitalizations for inclusion in the PWUD cohort: B (Biomarkers): In line with a previous study, positive urine toxicology for drugs or medications for SUD (eg, cocaine, amphetamine, methadone, suboxone, fentanyl, opiate, oxycodone), positive HCV antibody with positive or quantifiable HCV viral load [29] D (Diagnostic codes): Presence of ICD-9 and or ICD-10 code for overdose, substance use

Taisuke Sato, Emily D Grussing, Ruchi Patel, Jessica Ridgway, Joji Suzuki, Benjamin Sweigart, Robert Miller, Alysse G Wurcel

JMIR AI 2025;4:e63147

A Personalized, Texting-Based Conversational Agent to Address Sleep Disturbance in Individuals Who Have Survived Breast Cancer: Protocol for a Pilot Waitlist Randomized Controlled Trial

A Personalized, Texting-Based Conversational Agent to Address Sleep Disturbance in Individuals Who Have Survived Breast Cancer: Protocol for a Pilot Waitlist Randomized Controlled Trial

Cecebot checks PA levels every 4 days and sends unique messages based on the mean 4-day step count observed—a low step count (8000/d) prompts congratulations, and a middle-range step count (>6000/d) prompts a message nudging the participant toward increased PA. The PA JIT messages pair with weekly PA feedback and with PA education. The Cecebot website, maintained by the study, contains videos of workout routines tailored for individuals who have survived BC, led by a trained instructor.

Chi-shan Tsai, Warren Szewczyk, Michelle Drerup, Jason Liao, Alexi Vasbinder, Heather Greenlee, Jaimee L Heffner, Rachel Yung, Kerryn W Reding

JMIR Res Protoc 2025;14:e62712