Evaluating socio-demographic risk factors of asthma control and effects of using a pilot asthma self-management mobile platform

Asthma control is influenced by various socio-demographic and patient-centered factors. Through statistical analyses on Asthma Mobile Health Study (AMHS) data, 2,452 American patients, including Chi-Square, ANOVA, and mixed effects linear models, significant factors influencing asthma control were identified. The results showed improvements in asthma control during the first six months of using the self-management mobile platform. Notably, socio-demographic factors such as gender, smoking status, and insurance type were found to be significant predictors of asthma control. These findings underscore the potential of mobile health technologies and the importance of specific interventions to address disparities in asthma control, ultimately aiming to enhance patient outcomes and inform healthcare policies.

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Publication Details

Published
2025-06-18
DOI
https://doi.org/10.1109/ichi64645.2025.00026
Primary Topic
Mobile Health and mHealth Applications
Type
article
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article

Evaluating socio-demographic risk factors of asthma control and effects of using a pilot asthma self-management mobile platform

Kevin C.H. Tsang, Ruixuan Wang
Mobile Health and mHealth Applications
article

Evaluating socio-demographic risk factors of asthma control and effects of using a pilot asthma self-management mobile platform

Kevin C.H. Tsang, Ruixuan Wang
article en

Abstract

Asthma control is influenced by various socio-demographic and patient-centered factors. Through statistical analyses on Asthma Mobile Health Study (AMHS) data, 2,452 American patients, including Chi-Square, ANOVA, and mixed effects linear models, significant factors influencing asthma control were identified. The results showed improvements in asthma control during the first six months of using the self-management mobile platform. Notably, socio-demographic factors such as gender, smoking status, and insurance type were found to be significant predictors of asthma control. These findings underscore the potential of mobile health technologies and the importance of specific interventions to address disparities in asthma control, ultimately aiming to enhance patient outcomes and inform healthcare policies.

Farr Institute (GB), University College London (GB)
Gender equality
Openalex Percentile: Top 71%
Mobile Health and mHealth Applications
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Evaluating socio-demographic risk factors of asthma control and effects of using a pilot asthma self-management mobile platform — Kevin C.H. Tsang, Ruixuan Wang · (2025) | TGRS Research Map | TGRS