Table 1.
Descriptive statistics of survey sample stratified by health setting. The potential of an electronic death registration system in South Africa: a feasibility and acceptability study (July—November 2022)
| Urban N = 136 n (%) |
Rural N = 58 n (%) |
Other N = 14 n (%) |
Overall N = 208 n (%) |
|
|---|---|---|---|---|
| Age group (years) | ||||
| < 20 | 1 (0.7) | 0 (0.0) | 0 (0.0) | 1 (0.5) |
| 20–29 | 8 (5.8) | 1 (1.7) | 0 (0.0) | 9 (4.3) |
| 30–39 | 30 (22.1) | 20 (34.5) | 3 (21.4) | 53 (25.4) |
| 40–49 | 32 (23.5) | 16 (27.6) | 5 (35.7) | 53 (25.4) |
| 50–59 | 42 (30.8) | 13 (22.4) | 3 (21.4) | 58 (27.9) |
| 60–65 | 17 (12.5) | 4 (6.9) | 3 (21.4) | 24 (11.5) |
| > 65 | 6 (4.4) | 4 (6.9) | 0 (0.0) | 10 (4.8) |
| Gender | ||||
| Woman | 78 (57.7) | 35 (60.3) | 8 (57.1) | 121 (58.6) |
| Man | 55 (40.7) | 23 (39.6) | 6 (42.9) | 84 (40.6) |
| Prefer not to say | 2 (1.5) | 0 (0.0) | 0 (0.0) | 2 (1.0) |
| Province | ||||
| Eastern Cape | 6 (4.8) | 4 (8.7) | 3 (21.4) | 13 (7.0) |
| Free State | 6 (4.8) | 2 (4.4) | 1 (7.1) | 9 (4.9) |
| Gauteng | 49 (39.2) | 8 (17.4) | 4 (28.6) | 61 (33.0) |
| KwaZulu Natal | 14 (11.2) | 8 (17.39) | 0 (0.0) | 22 (11.9) |
| Limpopo | 2 (1.6) | 6 (13.04) | 0 (0.0) | 8 (4.3) |
| Mpumalanga | 6 (4.8) | 6 (13.04) | 0 (0.0) | 12 (6.5) |
| North West | 5 (4.0) | 1 (2.2) | 2 (14.3) | 8 (4.3) |
| Northern Cape | 4 (3.2) | 4 (8.7) | 1 (7.1) | 9 (4.9) |
| Western Cape | 33 (26.4) | 7 (15.2) | 3 (21.4) | 43 (23.2) |
| Role | ||||
| Clinician | 60 (44.1) | 20 (34.5) | 4 (28.6) | 84 (40.3) |
| Nurse | 23 (16.9) | 12 (20.7) | 2 (14.3) | 37 (17.8) |
| Allied health professionals | 21 (15.4) | 10 (17.2) | 2 (14.3) | 33 (15.9) |
| Public health | 7 (5.2) | 3 (5.2) | 2 (14.3) | 12 (5.8) |
| Management | 17 (12.5) | 11 (19.0) | 2 (14.3) | 30 (14.4) |
| Other | 8 (5.9) | 2 (3.5) | 2 (14.3) | 12 (5.8) |