JMIR Pediatrics and Parenting

Digital interventions for eating disorders have the potential to increase access to care and broaden the range of treatment options for adolescents. However, little is known about the characteristics of those who seek these interventions. Identifying such characteristics will help ensure that these interventions meet the needs of the target population, highlight potentially underrepresented groups, and support clinicians in assessing clinical suitability for individual patients.

Pediatric patient care portals through electronic health records (EHRs) provide opportunities to enhance patient care. However, challenges exist for making portals usable, and few studies have examined qualitative experiences of caregivers when using integrated primary care (IPC) services for their children.

Sudden and unexpected infant death is a leading cause of postneonatal death in the United States. Following recommended infant care practices such as safe sleep and breastfeeding reduces the risk of sudden and unexpected infant death. Parents use social media to help them make decisions about infant care practices.

Caregivers of children with cerebral palsy (CP) encounter unique challenges that are not common in typical families. The distress of these families starts in the diagnosis period, which is marked by a “wait and see” approach, and continues because of the lack of a clear prognosis.

Anxiety and depression are among the most prevalent mental health problems affecting adolescents. Digital mental health interventions have emerged as promising means of addressing these challenges. Understanding adolescents’ experiences and perspectives, and incorporating them into intervention design, can enhance their relevance, engagement, and effectiveness, ensuring interventions meet young people’s needs.

Attentional functioning in childhood emerges from the interaction between cognitive, behavioral, and emotional processes. Children with these vulnerabilities frequently exhibit executive function deficits, including working memory, inhibitory control, cognitive flexibility, and processing speed, which compromise the ability to regulate attention, plan, and organize tasks, and modulate emotional responses, highlighting the need for screening approaches that integrate multiple dimensions of child functioning.

This pilot study examined the feasibility and acceptability of implementing a digital in-home air quality monitor among families with children with asthma (N=20). Interview and survey data indicated that the use of this tool was both feasible and acceptable, while highlighting affordability as an important concern for use in future clinical practice for asthma management.

Preoperative anxiety affects an estimated 50% to 70% of children undergoing surgery and is associated with poorer perioperative cooperation, increased postoperative distress, and delayed recovery. Digital storytelling and immersive technologies, including virtual reality and augmented reality, have emerged as child-centered preparation tools to improve the preoperative experience.

Available information about existing neonatal and pediatric intensive care datasets is scarce.

Creative music therapy (CMT) in preterm infants has been associated with improved health outcomes in both parents and infants while promoting parent-infant bonding. However, access to CMT is limited.

Neonatal jaundice is a very common condition in the first week of life requiring timely recognition of the small subset of neonates at risk of developing severe neonatal hyperbilirubinemia (SNH). Total serum bilirubin, as quantified through blood testing, remains the gold standard for diagnosis, whereas screening based on visual inspection has been proven unreliable in identifying which jaundiced neonates require total serum bilirubin. Picterus Jaundice Pro (JP) is a mobile health app developed for use by health care professionals and parents to screen for imminent SNH. However, parental user experiences with Picterus JP remain largely unexplored.

AI-enabled chatbots and related conversational systems can facilitate human–computer interaction through natural language, personalization, and automated support. In pediatric health promotion, these tools have the potential to provide scalable and flexible approaches to support physical activity (PA) and related lifestyle behavior change within family contexts. However, evidence regarding AI and chatbot-supported interventions for PA and obesity-related lifestyle behaviors among children and adolescents remains limited, and the extent to which these interventions involve parents, caregivers, or families has not been clearly characterized.