Table 1 Characteristics of study participants (n = 306).
From: Facilitators and barriers for use of digital technology in chronic disease management
Characteristic | N (%/IQR) |
|---|---|
Sex | |
Male | 135 (44.12) |
Female | 171 (55.88) |
Marital status | |
Married | 233 (76.14) |
Unmarried | 73 (23.86) |
Ethnicity | |
Chinese | 213 (69.61) |
Non-Chinese | 93 (30.39) |
Age (median) | |
Education | 63 (54–70) |
Primary school or less | 95 (31.05) |
Secondary school | 102 (33.33) |
Tertiary | 109 (35.62) |
Employment status | |
Employed | 125 (40.85) |
Retired | 138 (45.10) |
Unemployed | 43 (14.05) |
Income | |
< $3000 | 169 (55.23) |
≥ $3000 | 137 (44.77) |
Housing | |
1–2 room HDB | 76 (24.84) |
3 room HDB | 46 (15.03) |
4–5 room HDB | 184 (60.13) |
Access to technology | |
Daily | 237 (77.45) |
Weekly | 9 (2.94) |
Occasionally | 60 (19.61) |
Type of Technology Used | |
Apple Health | 2 (0.65) |
FitBit | 1 (0.33) |
HealthHub | 179 (58.50) |
Healthy365 | 5 (1.63) |
OneNUHS | 9 (2.94) |
SMS | 1 (0.33) |
None | 109 (35.62) |
Number of comorbidities | |
1–2 | 218 (71.24) |
> 3 | 88 (28.76) |
Number of medications | |
1–2 | 168 (54.90) |
3–5 | 65 (21.24) |
> 6 | 73 (23.86) |
Management Score (Median) | 38 (32–42) |
