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Assessing adolescent asthma symptoms and adherence using mobile phones
Shelagh A Mulvaney1, Yun-Xian Ho, Cather M Cala
1School of Nursing, Vanderbilt University School of Medicine, Nashville, TN, United States. shelagh.mulvaney@vanderbilt.edu.
Mobile phones effectively assessed adolescent asthma medication adherence using ecological momentary assessment (EMA). This method provided insights into adherence challenges, such as social influences, aiding clinical problem-solving for better asthma management.
Area of Science:
- Digital Health
- Adolescent Medicine
- Asthma Management
Background:
- Traditional self-report for medication adherence is limited by recall bias and lacks insight into adherence barriers.
- Ecological Momentary Assessment (EMA) via mobile phones presents a viable alternative for real-time adherence monitoring and data collection.
Purpose of the Study:
- To evaluate the feasibility of using mobile phone-based EMA for assessing adolescent asthma medication adherence.
- To identify contextual factors influencing adolescent adherence decision-making in asthma management.
Main Methods:
- A descriptive and correlational study employed an interactive voice response system for daily symptom and adherence assessments over one month.
- Adolescents (12-18 years) with asthma received daily calls, supplemented by baseline and follow-up surveys including the Asthma Control Test (ACT).
- Data collected included asthma symptoms, rescue inhaler adherence, barriers to mobile phone use, and quality of life.
Main Results:
- Adolescents responded to an average of 67% of daily calls, with adherence declining towards the end of the study month.
- EMA revealed that 53% of nonadherence instances occurred in social settings with friends, highlighting social context.
- EMA-adherence correlated significantly with asthma control as measured by the ACT, validating the EMA approach.
Conclusions:
- Mobile phone-based EMA is a feasible method for assessing asthma symptoms and medication adherence in adolescents.
- EMA provides valuable contextual data on adherence decision-making, useful for clinical interventions and patient feedback systems.
- This approach supports personalized asthma management strategies by uncovering real-world adherence challenges.
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