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Parents’ Motivations for Calling an Out-of-Hours Helpline: Qualitative Study

Parents’ Motivations for Calling an Out-of-Hours Helpline: Qualitative Study

Besides LB, the team included 6 pediatricians (MSF, MS, GG, SL, CG, and DC), covering general pediatrics, neonatology, acute pediatrics, and nephrology, as well as a cardiologist (FF) specializing in prehospital research, a nurse (VZ) and an anthropologist (TTT), both with extensive experience in qualitative research and a diverse nonmedical perspective on parents’ motives.

Liv Borch-Johnsen, Fredrik Folke, Marianne Sjølin Frederiksen, Morten Schrøder, Gorm Greisen, Stine Lund, Vibeke Zoffmann, Caroline Gren, Tine Tjørnhøj-Thomsen, Dina Cortes

J Med Internet Res 2025;27:e66780

Area-Level Indices and Health Care Use in a Pediatric Brain and Central Nervous System Tumor Cohort: Observational Study

Area-Level Indices and Health Care Use in a Pediatric Brain and Central Nervous System Tumor Cohort: Observational Study

We bounded the cutoff age at 21 years rather than 18 years to reflect the common practice in pediatric oncologists to treat patients up to 21 years and the Bright Futures guidelines from the American Academy of Pediatrics. We excluded any patients’ missing sex, date of birth, or addresses. We then geocoded patients’ addresses and assigned each patient a census block group or census tract. For patients with multiple addresses in their electronic health records, we geocoded the modal address.

Yvette H Tran, Seho Park, Scott L Coven, Eneida A Mendonca

JMIR Public Health Surveill 2025;11:e66834

Extended Reality (XR) in Pediatric Acute and Chronic Pain: Systematic Review and Evidence Gap Map

Extended Reality (XR) in Pediatric Acute and Chronic Pain: Systematic Review and Evidence Gap Map

To code studies for the evidence and gap map, reviewers were assigned a series of studies in EPPI Reviewer and were asked to review the manuscript and code each article for the patient population (adult or pediatrics), pain population, and outcomes targeted by VR. Two training meetings were held with all reviewers to provide operational definitions, and they were asked to code a single article. A subsequent meeting was held to provide feedback and answer questions to increase consistency across coding.

Courtney W Hess, Brittany N Rosenbloom, Giulia Mesaroli, Cristal Lopez, Nhat Ngo, Estreya Cohen, Carley Ouellette, Jeffrey I Gold, Deirdre Logan, Laura E Simons, Jennifer N Stinson

JMIR Pediatr Parent 2025;8:e63854

Large Language Models for Pediatric Differential Diagnoses in Rural Health Care: Multicenter Retrospective Cohort Study Comparing GPT-3 With Pediatrician Performance

Large Language Models for Pediatric Differential Diagnoses in Rural Health Care: Multicenter Retrospective Cohort Study Comparing GPT-3 With Pediatrician Performance

Differential diagnosis in pediatrics presents unique challenges that distinguish it from adult medicine. Young patients often cannot articulate their symptoms clearly, presentations can be atypical, and the range of potential diagnoses varies significantly with age. Recent systematic reviews have shown that diagnostic errors occur in “appreciable amounts” of pediatric encounters, with higher rates in rural and underserved areas [5].

Masab Mansoor, Andrew F Ibrahim, David Grindem, Asad Baig

JMIRx Med 2025;6:e65263