Table 6.
The characteristics of patients declining due to technology issues
| Depression | CVD risk | ||||||
|---|---|---|---|---|---|---|---|
| Characteristic | Categories | Technology issues N (%) | Non-technology issues N (%) | Total N =100 % | Technology issues N (%) | Non-technology issues N (%) | Total N =100 % |
| Gender | Female | 1493 (49) | 1550 (51) | 3043 | 601 (66) | 304 (34) | 905 |
| Male | 667 (50) | 663 (50) | 1330 | 1128 (61) | 709 (39) | 1837 | |
| Ethnicity | White | 2054 (49) | 2101 (51) | 4155 | 1615 (63) | 938 (37) | 2553 |
| BME | 43 (52) | 39 (48) | 82 | 54 (69) | 24 (31) | 78 | |
| Deprivation | Deprived | 625 (56) | 483 (44) | 1108 | 617 (69) | 275 (31) | 892 |
| Affluent | 1510 (47) | 1722 (53) | 3232 | 1112 (60) | 738 (40) | 1,850 | |
| Age (Mean (SD)) | 67.4 (13.5) | 52.3 (14.53) | 67.6 (5.03) | 66.9 (5.55) | |||