Background: Adolescents are using mobile health apps as a form of self-management to collect data on symptoms, medication adherence, and activity. Adding functionality to an electronic health record (EHR) to accommodate disease-specific patient-generated health data (PGHD) may support clinical care. However, little is known on how to incorporate PGHD in a way that informs care for patients. Pediatric asthma, a prevalent health issue in the United States with 6 million children diagnosed, serves as an exemplar condition to examine information needs related to PGHD.
Objective: In this study we aimed to identify and prioritize asthma care tasks and decisions based on pediatric asthma guidelines and identify types of PGHD that might support the activities associated with the decisions. The purpose of this work is to provide guidance to mobile health app developers and EHR integration.
Methods: We searched the literature for exemplar asthma mobile apps and examined the types of PGHD collected. We identified the information needs associated with each decision in accordance with consensus-based guidelines, assessed the suitability of PGHD to meet those needs, and validated our findings with expert asthma providers.
Results: We mapped guideline-derived information needs to potential PGHD types and found PGHD that may be useful in meeting information needs. Information needs included types of symptoms, symptom triggers, medication adherence, and inhaler technique. Examples of suitable types of PGHD were Asthma Control Test calculations, exposures, and inhaler use. Providers suggested uncontrolled asthma as a place to focus PGHD efforts, indicating that they preferred to review PGHD at the time of the visit.
Conclusions: We identified a manageable list of information requirements derived from clinical guidelines that can be used to guide the design and integration of PGHD into EHRs to support pediatric asthma management and advance mobile health app development. Mobile health app developers should examine PGHD information needs to inform EHR integration efforts.
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http://dx.doi.org/10.2196/25413 | DOI Listing |
Klin Padiatr
January 2025
Department Of Pediatrics, Division of Pneumology, Allergology, Infectious Diseases and Gastroenterology, Goethe University Frankfurt, Frankfurt am Main, Germany.
Ann Nutr Metab
January 2025
Department of Paediatrics, Medical University of Warsaw, Warsaw, Poland.
Background: The gut microbiota, or microbiome, is essential for human health. Early-life factors such as delivery mode, diet, and antibiotic use shape its composition, impacting both short- and long-term health outcomes. Dysbiosis, or alterations in the gut microbiota, is linked to conditions such as allergies, asthma, obesity, diabetes, inflammatory bowel disease, and necrotizing enterocolitis in preterm infants.
View Article and Find Full Text PDFN Z Med J
January 2025
Associate Professor, University of Otago, Christchurch.
Aim: Electronic cigarette use (vaping) has increased rapidly among adolescents globally. Most electronic cigarettes (e-cigarettes) contain nicotine, which is addictive and can cause behaviour problems and mood dysregulation. We sought to assess whether an educational intervention increased knowledge about vaping-related health risks and desire to quit among high school students.
View Article and Find Full Text PDFJ Investig Allergol Clin Immunol
January 2025
MASK-air, Montpellier, France.
Background And Objectives: The Allergic Rhinitis and its Impact on Asthma (ARIA) guidelines classify rhinitis as "intermittent" or "persistent" and "mild" or "moderate-severe". To assess ARIA classes in a real-world study in terms of phenotypic differences and their association with asthma.
Methods: We performed a cross-sectional real-world study based on users of the MASK-air® app who reported data for at least 3 different months.
Pediatr Rep
January 2025
Emergency Medical Services Department, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Riyadh 11481, Saudi Arabia.
Background/objectives: This study aimed to assess and compare the rates of medication error (ME) using the PediSTAT application compared to the conventional method of calculating the correct dose and determining the appropriate route of medication administration for common pediatric emergencies.
Methods: A prospective cross-sectional study design was used for the study. Data were collected using a questionnaire that was distributed to certified paramedics holding a bachelor's degrees or higher and working in Riyadh City, Saudi Arabia.
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