Table 2 Overview of training, assessment and survey data demographic characteristics
From: Rapid scale-up of COVID-19 training for frontline health workers in 11 African countries
Demographics | Training n = 8797 | Pre/post-assessments n = 2370 | Post-training survey n = 1768 |
|---|---|---|---|
Sex n (%a) | |||
 Female | 5017 (57) | 1307 (55) | 851 (48) |
 Male | 3778 (43) | 603 (25) | 915 (52) |
 Other | 0 (0) | 0 (0) | 2 (< 1) |
 Missing | 2 (< 1) | 460 (19) | 0 (0) |
Cadre n (%) | |||
 Doctor | 712 (8) | 229 (10) | 126 (7) |
 Non-clinical | 591 (7) | 134 (6) | 133 (8) |
 Nurse | 4950 (56) | 857 (36) | 969 (55) |
 Other HCW | 2041 (23) | 399 (17) | 485 (27) |
 Community HCW | 247 (3) | 0 (0) | 0 (0) |
 Other (IPb, MOH) | 250 (3) | 0 (0) | 55 (3) |
 Missing | 3 (< 1) | 751 (32) | 0 (0) |
Facility n (%) | |||
 Primary | 3110 (35) | 1314 (55) | 698 (40) |
 Secondary | 4995 (57) | 653 (28) | 691 (39) |
 Missing | 31 (< 1) | 403 (17) | 0 (0) |
 N/A/other | 661 (8) | 0 (0) | 379 (21) |
Country n (%) | |||
 Angola | 470 (5) | 436 (18) | 15 (1) |
 Burundi | 398 (4) | 74 (3) | 229 (13) |
 Eswatini | 1812 (19) | 0 (0) | 127 (7) |
 Kenya | 1261 (13) | 350 (15) | 302 (17) |
 Lesotho | 799 (8) | 372 (16) | 115 (6) |
 Malawi | 717 (7) | 339 (14) | 314 (18) |
 Mozambique | 1291 (13) | 0 (0) | 79 (4) |
 Rwanda | 418 (4) | 409 (17) | 287 (16) |
 Sierra Leone | 348 (4) | 306 (13) | 4 (< 1) |
 South Sudan | 804 (8) | 0 (0) | 200 (11) |
 Zambia | 479 (5) | 84 (4) | 92 (5) |
 Missing | 0 (0) | 0 (0) | 4 (< 1) |