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Research Dissemination Strategies in Pediatric Emergency Care Using a Professional Twitter (X) Account: A Mixed Methods Developmental Study of a Logic Model Framework

Research Dissemination Strategies in Pediatric Emergency Care Using a Professional Twitter (X) Account: A Mixed Methods Developmental Study of a Logic Model Framework

development (R) Acquisition of external graphics designer (G) Selection of software and metrics (J) Learning to work with existing technologies for scheduling and publishing (AF) Sudden unexpected team member change (U) Outputs Extracting key teaching points from top PECARN articles into tweet (X) Tweet frequency established at the same time each week (3 times per week) (AH) Tweet visual structure: Intentional or strategic polls, emojis, bullet points, and multimedia such as images and videos (AA, AB, AC, C,

Gwendolyn C Hooley, Julia N Magana, Jason M Woods, Shyam Sivasankar, Lauren VonHoltz, Anita R Schmidt, Todd P Chang, Michelle Lin

JMIR Form Res 2025;9:e59481

Rising Leishmaniasis Cases in the United States Based on Registry Data From 2007 to 2023 and the Vital Role of Health Care Providers in Awareness and Management

Rising Leishmaniasis Cases in the United States Based on Registry Data From 2007 to 2023 and the Vital Role of Health Care Providers in Awareness and Management

Annual reported leishmaniasis cases compared to the average temperature ([°F − 32][0.556] = °C) per year from 2007 to 2023. The Texas data from 2007 to 2023 highlight a continual increasing trend in leishmaniasis incidence, which aligns with broader concerns regarding the emergence of this parasitic infection in the United States. The increase in reported cases—particularly seen from 2013 to 2018—may suggest improved awareness and reporting among health care providers.

Mia Panlilio, Olnita Martini, Elizabeth Tchernogorova, Alexa Carboni, Danielle Duffle, Leslie Torgerson

JMIR Dermatol 2025;8:e65579

The Rapid Online Cognitive Assessment for the Detection of Neurocognitive Disorder: Open-Label Study

The Rapid Online Cognitive Assessment for the Detection of Neurocognitive Disorder: Open-Label Study

We first evaluated how Ro CA evaluated patient drawings (Figure 3 A-C). Ro CA classified 97% (44/46) of the cubes correctly, 91% (42/46) of the infinities correctly, and 98% (45/46) of the clocks correctly. We next calculated the accuracy of Ro CA for each drawing individually (Figure 3 D). We compared the accuracy of each drawing to its statistical baseline by bootstrapping, resampling the accuracy, and counting the number of times it fell below the random classifier.

Calvin Howard, Amy Johnson, Joseph Peedicail, Marcus C Ng

J Med Internet Res 2025;27:e66735