Sleep data captured with a wearable device could help clinicians better tailor care by identifying patients with chronic obstructive pulmonary disease (COPD) who may need additional support to participate in pulmonary rehabilitation, according to new research published in Mayo Clinic Proceedings: Digital Health.
COPD is a long-term lung disease that makes it hard to breathe after airways become inflamed and narrowed and mucus builds up. COPD can also make sleeping more difficult, affecting a patient's energy levels and overall health. These factors can influence participation in pulmonary rehabilitation, which includes a combination of exercise, education and support.
Researchers set out to understand whether a patient's sleep quality could help predict their level of participation in remote rehabilitation activities.
"As a scientist and engineer, I wanted to explore how wearable data could improve the drop-out rates of remote pulmonary rehabilitation programs. By better understanding a patient's day-to-day life, we can make more personalized and potentially more effective care plan recommendations," says Stephanie Zawada, Ph.D., M.S., a Mayo Clinic research associate and first author of the study.
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