From: Developing a sensor-based mobile application for in-home frailty assessment: a qualitative study
Item | Care Recipient | Caregiver | ||
---|---|---|---|---|
Overall n = 14 | Non Frail/Pre-frail n = 8 | Frail n = 6 | n = 12 | |
Age: mean (sd) | 76.1 (6.5) | 73.9 (5.5) | 79.2 (6.9) | 68.2 (8.0) |
Sex: % female | 64.3% | 62.5% | 66.7% | 66.7% |
Race: % Caucasian | 71.4% | 80% | 20% | 75% |
Education: % | ||||
High School/Equivalent | 21.4% | 25.0% | 16.7% | 41.7% |
College | 28.6% | 37.5% | 16.7% | 33.3% |
Post graduate | 50.0% | 37.5% | 66.7% | 25.0% |
Living Status: % | 66.7%a | |||
Alone | 35.7% | 12.5% | 66.7% | |
Spouse/partner | 50.0% | 62.5% | 33.3% | |
Son/daughter(s) | 14.3% | 25.0% | 0% | |
Care Recipient Health Status: % | ||||
Excellent | 14.3% | 25.0% | 0% | 8.3% |
Very good | 21.4% | 37.5% | 0% | 25.0% |
Good | 42.9% | 25.0% | 66.7% | 25.0% |
Fair | 0% | 0% | 0% | 33.3% |
Poor | 21.4% | 12.5% | 33.3% | 8.3% |