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% |