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A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
Published on: April 19, 2019
Using Patient-Held Devices to Measure Variations in Resting Heart Rate and Step Count Prior to Presentation With an
Jason G A den Duijn1, Ahmed A M Hajjaj2, John Kellett3
1Department of Medical Oncology, Erasmus University Medical Center, Dr. Molewaterplein 40, Rotterdam, 3015 GD, The Netherlands, 0031 655014806.
Smart devices can track heart rate and step count to identify illness severity before hospital admission. This study found significant changes in these metrics preceding acute care visits, suggesting potential for early detection.
Area of Science:
- Digital Health
- Wearable Technology
- Acute Care Medicine
Background:
- Subtle physiological changes often precede hospital admission.
- Smart devices offer novel ways to monitor health metrics like heart rate and step count.
- Early detection of health deterioration can aid clinical decision-making.
Purpose of the Study:
- To evaluate the feasibility of using smart device data (heart rate, step count) for patients in emergency settings.
- To determine if wearable device data can enhance the assessment of acute illness severity.
Main Methods:
- International multicenter prospective observational study (34 hospitals).
- Flash mob study design involving patient questionnaires and smart device data extraction.
- Data collected from smartphones, smartwatches, and activity trackers.
Main Results:
- 40% of patients with acute care visits had a smart device; usable data obtained from 20% (n=209).
- Significant increase in heart rate (P<.001) and decrease in step count (P<.001) observed days before hospital visit.
- Heart rate and step count on the day before presentation were associated with patient disposition (P=.04).
Conclusions:
- Personal smart devices can feasibly monitor vital signs leading up to acute care visits.
- Significant pre-hospitalization changes in heart rate and step count suggest predictive potential.
- High-risk populations are currently underrepresented in smart device health monitoring.
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