This study examines the feasibility and acceptability of using mobile applications and biosensing (mHealth) devices in detecting vitality parameters in current smokers with and without respiratory symptoms/COPD (e.g., heart rate, blood oxygenation, steps/motion) for a future big-scale study.
The study is designed to investigate feasibility of using mHealth devices to improve the treatment, assessment, compliance, and outcomes in smokers with and without respiratory symptoms/COPD. The study aims to reveal and address the anticipated barriers to the acceptance and implementation of mHealth devices in this patient population and clinical setting. As is well documented, the more attention patients receive from medical personnel, the better their clinical outcomes. Here we are attempting to use device-driven monitoring applications, interactive reminders, and teaching modules to deliver a constant positive feedback loop to patients to improve their health decisions. Objectives of the study: To assess the feasibility of using mHealth devices in current smokers with and without respiratory symptoms/COPD. To assess the utility (i.e., validity and reproducibility) of mHealth devices in detecting vitality parameters in current smokers with and without respiratory symptoms/COPD (e.g., heart rate; blood oxygenation; steps/motion; FEV1, FVC, and their ratio; peak expiratory flow \[PEF\]).
Study Type
OBSERVATIONAL
Enrollment
27
Anamed OEM (Original Equipment Manufacturer) device - physical activity and vital signs monitoring; Air Next mobile spirometry device
Kazakhstan Academy of Preventive Medicine
Almaty, Kazakhstan
Rate of Recruitment
Recruitment is defined as the number of potential participants screened for study eligibility versus the number of persons who enrolled in the study.
Time frame: Baseline
Rate of Retention
Retention is defined as the proportion of participants enrolled who completed the intervention and all study measures.
Time frame: through study completion, an average of 90 days
Protocol Adherence
Adherence to the study protocol is determined as the proportion of participants enrolled from whom all mHealth parameters registered every day.
Time frame: through study completion, an average of 90 days
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