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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

narrative story to provide sufficient content (BA) Priority list of timely content for tweets such as newly published PECARN studies with icons to assist readers (AG) Iterative operation manual with protocols and policies to align with stakeholders and unexpected obstacles (S, T, Y) Developing approach to unexpected events and outside-of-scope requests (O, AD, AM, AU) Outcomes Development of analytic metrics with dashboard monitoring (Q) Increasing and broadening followership for Twitter account (AK, AX, K, P)

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

Use, Usability, and Experience Testing of a Digital Health Intervention to Support Chronic Kidney Disease Self-Management: Mixed Methods Study

Use, Usability, and Experience Testing of a Digital Health Intervention to Support Chronic Kidney Disease Self-Management: Mixed Methods Study

Statistical significance was accepted as P All identifiable information, such as individuals’ names and personal details, was removed from the completed transcripts. NVivo (version 12; QRS International) was used to manage and store data, which were analyzed according to the principles of interpretive reflexive thematic analysis using the approach described by Braun and Clarke [38] to identify and report themes.

Courtney J Lightfoot, Thomas J Wilkinson, Roseanne E Billany, Gurneet K Sohansoha, Noemi Vadaszy, Ella C Ford, Melanie J Davies, Thomas Yates, Alice C Smith, Matthew P M Graham-Brown

J Med Internet Res 2025;27:e75845

Measurement, Characterization, and Mapping of COVID-19 Misinformation in Spain: Cross-Sectional Study

Measurement, Characterization, and Mapping of COVID-19 Misinformation in Spain: Cross-Sectional Study

This study was approved by the Ethics Committee on Non-Biomedical Experimentation and Genetically Modified Organisms (CEENB-GMOs) of the University of Cadiz (005_2024). All data collected through the telephone survey were fully anonymized prior to analysis. No personally identifiable information was recorded or stored, ensuring complete confidentiality of participants and no financial or material compensation was provided to participants.

Javier Alvarez-Galvez, Carolina Lagares-Franco, Esther Ortega-Martin, Helena De Sola, Antonio Rojas-García, Paloma Sanz-Marcos, José Almenara-Barrios, Angelos P Kassianos, Ilaria Montagni, María Camacho-García, Maribel Serrano-Macías, Jesús Carretero-Bravo

JMIR Infodemiology 2025;5:e69945