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Feasibility, Acceptability, and Perspectives Regarding the Use of Activity Tracking Wearable Devices Among Home
Ian René Solano-Kamaiko1, Michael Dicpinigaitis2, Melissa Tan1
1Cornell Tech, New York, NY, United States.
Journal of Medical Internet Research
|January 26, 2026
Summary
Activity tracking devices show promise for improving home health aides' (HHAs) health awareness and promoting behavior change. While feasible and acceptable, occupational and social factors can limit improvements in sleep and activity for this vital workforce.
Area of Science:
- Gerontology and Public Health
- Health Informatics and Wearable Technology
- Occupational Health and Workforce Development
Background:
- Home health aides (HHAs) are crucial for aging in place but face health challenges.
- Activity tracking devices offer potential for improving HHAs' health awareness and behaviors.
- Physical activity and sleep quality are key areas of struggle for HHAs.
Purpose of the Study:
- To assess the feasibility and acceptability of activity tracking devices for HHAs.
- To understand HHAs' perceptions of activity trackers for personal health improvement.
- To explore HHAs' reactions to using activity trackers on and off the job.
Main Methods:
- A 4-week field study involving 17 home care agency-employed HHAs in New York City.
- Participants wore activity tracking devices, collecting data on physical activity and sleep.
- Qualitative interviews and think-aloud protocols with personalized data visualizations were used.
Main Results:
- High adherence (94%) to wearing activity trackers for 28 days.
- Participants averaged 10,230 daily steps and 6.27 hours of sleep.
- Key themes included enhanced health awareness, positive behavior changes, and perceived patient benefits, alongside awareness of occupational/social constraints.
Conclusions:
- Personalized tracking interventions show promise for improving the health of HHAs.
- These interventions could enhance HHA well-being and the quality of care provided.
- Addressing social and occupational determinants is crucial for maximizing intervention effectiveness.
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