| Air quality |
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| Airway inflammation markers |
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| Lung function |
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| Physical activity |
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| Sleep |
Investigate what sleep parameters are most strongly related to asthma control and asthma manifestations
Investigate what factors influence the relation between sleep parameters and asthma control in children with asthma, such as age, sleep behavior, and chronic rhinitis
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| Audiovisual |
Investigate if there are specific patient characteristics (eg, age, sex, and asthma severity) to identify children who benefit most from audiovisual monitoring
Investigate the added value of visual recordings compared to audio recordings alone
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| Other physiological measurements |
Investigate the added value of other physiological parameters (such as heart rate, respiratory rate, pulse oximetry, and electromyography) in asthma monitoring
Investigate the added value of other physiological measurements in a multiparameter asthma monitoring strategy at home.
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| Questionnaires |
Investigate if there are specific patient characteristics (eg, age, sex, and asthma severity) that can identify children with a good symptom perception who can be adequately monitored by questionnaires and children with a poor symptom perception who require additional monitoring
Investigate the added value of questionnaire monitoring in multiparameter asthma monitoring
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| Medication monitoring |
Investigate the long-term effects of medication monitoring interventions on adherence and asthma outcomes
Investigate the best personalized strategies to provide feedback based on medication monitoring data to optimize adherence
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| Digital environment |
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