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Comparing a Guideline-Based Mobile Health Intervention Versus Usual Care for High-Risk Adolescents With Asthma: Protocol of a Randomized Controlled Trial

Comparing a Guideline-Based Mobile Health Intervention Versus Usual Care for High-Risk Adolescents With Asthma: Protocol of a Randomized Controlled Trial

These interventions should aim to improve asthma self-management and enhance adolescents’ knowledge and skills to take appropriate actions for daily asthma maintenance and in response to acute symptoms. Personalized asthma action plans (AAPs) serve as tools to assist patients with self-management, and current best practices recommend that every patient with asthma have an AAP [2].

Tamara T Perry, Jessica H Turner, Ariel Berlinski, Larry A Simmons, Rita H Brown, Kaymon Neal, Sarah A Marshall, Xing He, Simon Chung, Andrew Brown, Horace J Spencer 3rd, Jiang Bian

JMIR Res Protoc 2025;14:e69903

In Vitro Characterization of the Immune Response to an Epitope Ensemble Vaccine Against Rhinovirus in Pediatric Asthma and Adults With Chronic Obstructive Pulmonary Disease: Protocol for an Observational and Exploratory Study

In Vitro Characterization of the Immune Response to an Epitope Ensemble Vaccine Against Rhinovirus in Pediatric Asthma and Adults With Chronic Obstructive Pulmonary Disease: Protocol for an Observational and Exploratory Study

In addition, HRVs are implicated in the development of lower respiratory tract diseases, such as pneumonia, bronchitis, and bronchiolitis [1], as well as in the exacerbation of asthma [3] and chronic obstructive pulmonary disease (COPD) [4]. The susceptibility to severe HRV infections and reinfections is influenced by a range of environmental and genetic factors, including impaired interferon responses and pre-existing conditions namely asthma and COPD [5].

Sara Alonso Fernandez, Raquel Reyes-Manzanas, Susana Camara, Juan Mozas-Gutierrez, Myriam Calle-Rubio, Juan Rodriguez-Hermosa, Andres Bodas-Pinedo, Santiago Rueda Esteban, Esther M Lafuente, Jesús Reiné, Pedro A Reche

JMIR Res Protoc 2025;14:e73383

Impact of a Novel Electronic Medical Record–Integrated Electronic Form (Provider Asthma Assessment Form) and Severe Asthma Algorithm in Primary Care: Single-Center, Pre- and Postobservational Study

Impact of a Novel Electronic Medical Record–Integrated Electronic Form (Provider Asthma Assessment Form) and Severe Asthma Algorithm in Primary Care: Single-Center, Pre- and Postobservational Study

Several key asthma care gaps have been identified, primarily concerning objective diagnosis, continued monitoring with pulmonary function tests (PFTs), addressing asthma control, and delivering patient self-management education [5,8-11]. Furthermore, individuals with severe asthma (SA; 5%‐10% of patients with asthma) account for a disproportionate 50% of asthma-related health care costs [6].

Matheson L McFarlane, Alison Morra, Delanya Podgers, David Barber, M Diane Lougheed

JMIR Form Res 2025;9:e74043

A Companion Robot for Children With Asthma: Descriptive Development and Feasibility Pilot Study

A Companion Robot for Children With Asthma: Descriptive Development and Feasibility Pilot Study

Approximately 2 million children with asthma are affected in Thailand, with 9.8% experiencing exacerbations annually and a significant cost associated with treatment [3]. The Global Initiative for Asthma (GINA) provides comprehensive guidelines for pediatric asthma management, focusing on symptom control through medication, decreasing environmental trigger exposure, and continuous symptom monitoring [4].

Jinnaphat Sangngam, Somsiri Rungamornrat, Rungnapa Santipipat, Kunchira Ponthanee

JMIR Pediatr Parent 2025;8:e68943

Validating a Patient-Reported Outcome Measure to Improve Emergency Department Asthma Care: Protocol for an Observational Study

Validating a Patient-Reported Outcome Measure to Improve Emergency Department Asthma Care: Protocol for an Observational Study

Asthma affects 1 in every 12 persons in the United States [1], resulting in 1.9 million emergency department (ED) [2] visits annually; however, the impact of ED care on patient-reported outcomes after acute exacerbations is unknown. Racial and ethnic minorities and individuals with low socioeconomic status are more likely to have asthma and experience worse health outcomes, including asthma-related ED visits and hospitalizations [3].

Michelle P Lin, Lauren Gordon, Lynne D Richardson

JMIR Res Protoc 2025;14:e67195

Experience of Using Electronic Inhaler Monitoring Devices for Patients With Chronic Obstructive Pulmonary Disease or Asthma: Systematic Review of Qualitative Studies

Experience of Using Electronic Inhaler Monitoring Devices for Patients With Chronic Obstructive Pulmonary Disease or Asthma: Systematic Review of Qualitative Studies

Inhalation therapy, acting directly on the lungs, offers advantages such as rapid onset, low dosage requirements, and minimal side effects [5], making it the primary treatment approach for respiratory conditions like COPD and asthma [6,7]. The efficacy of inhalation therapy relies on the correct use of inhalers [8,9], yet many patients with COPD and asthma struggle with proper technique.

Jilong Duan, Xia Chen, Di Fan, Haikun Jiang, Xue Zhang, Wenyue Zhang, Zhiping Liu, Hongyan Lu

JMIR Mhealth Uhealth 2025;13:e57645

Physical, Mental, and Health Empowerment Disparities Across Chronic Obstructive Pulmonary Disease, Asthma, and Combined Groups and the Moderating Role of eHealth Literacy: Cross-Sectional Study

Physical, Mental, and Health Empowerment Disparities Across Chronic Obstructive Pulmonary Disease, Asthma, and Combined Groups and the Moderating Role of eHealth Literacy: Cross-Sectional Study

Both COPD and the combined COPD-asthma group had higher nicotine dependence than the asthma group, while COPD patients reported better appetite compared with those in asthma and combined COPD-asthma groups (all P In the low e Health literacy group, 8 disease pair comparisons were significant only within this subgroup. The combined COPD-asthma group had lower perceived stress and self-efficacy compared with both asthma and COPD groups, and reduced social support and resilience relative to the asthma group.

Jiaying Li, Xiaobing Wu, Yibo Wu, Daniel Yee Tak Fong, Yang Song, Siyi Xu, Changhwan Kim, Xiaohong Lin, Vinciya Pandian

J Med Internet Res 2025;27:e70822

Identifying Asthma-Related Symptoms From Electronic Health Records Using a Hybrid Natural Language Processing Approach Within a Large Integrated Health Care System: Retrospective Study

Identifying Asthma-Related Symptoms From Electronic Health Records Using a Hybrid Natural Language Processing Approach Within a Large Integrated Health Care System: Retrospective Study

Asthma is a chronic respiratory condition characterized by airway inflammation and obstruction [1], affecting an estimated 262 million people in 2019 worldwide [2]. In the United States, asthma prevalence has increased since the early 1980s, reaching 7.8% in 2020 [3]. Uncontrolled asthma poses a significant health risk to patients and an economic burden to society [4]. Achieving and maintaining asthma control is critical for preventing asthma exacerbation [5].

Fagen Xie, Robert S Zeiger, Mary Marycania Saparudin, Sahar Al-Salman, Eric Puttock, William Crawford, Michael Schatz, Stanley Xu, William M Vollmer, Wansu Chen

JMIR AI 2025;4:e69132

Moderators’ Experiences of the Safety and Effectiveness of Patient Engagement in an Asthma Online Health Community: Exploratory Qualitative Interview Study

Moderators’ Experiences of the Safety and Effectiveness of Patient Engagement in an Asthma Online Health Community: Exploratory Qualitative Interview Study

Although 5.4 million people are receiving treatment for asthma in the United Kingdom [1], an estimated 2.17 million have uncontrolled asthma, meaning a greater disruption in everyday activities and a higher risk of an asthma attack [2]. Poor asthma control has a major impact on the use of health care services, accounting for 2% to 3% of the primary care consultations, 60,000 hospital admissions, and 200,000 bed days per year in the United Kingdom [1].

Helen E Wood, Georgios Dimitrios Karampatakis, Neil S Coulson, Nishanth Sastry, Xiancheng Li, Stephanie J C Taylor, Chris J Griffiths, Anna De Simoni

J Med Internet Res 2025;27:e58167

Artificial Intelligence Models for Pediatric Lung Sound Analysis: Systematic Review and Meta-Analysis

Artificial Intelligence Models for Pediatric Lung Sound Analysis: Systematic Review and Meta-Analysis

Country of data collection, age of study population, database characteristics, recording device, sample size, train-test split, classification task (eg, wheeze detection, multiclass classification of lung sounds, and asthma classification), feature extraction methods, summary of ML models, and performance metrics were collected.

Ji Soo Park, Sa-Yoon Park, Jae Won Moon, Kwangsoo Kim, Dong In Suh

J Med Internet Res 2025;27:e66491