Table 7.
Testing labs No. (%) | Referring labs@ No. (%) | p-value | |||
Some impact | High impact | Some impact | High impact | High impact | |
Lack of funding for capital equipment | 5/15 (33.3) | 6/15 (40.0) | 2/17 (11.8) | 14/17 (82.4) | 0.014 |
Lack of funding for technical staff | 5/16 (31.2) | 11/16 (68.8) | 3/17 (17.6) | 13/17 (76.5) | 0.708* |
Lack of funding for development of new tests (test work up) | 6/16 (37.5) | 10/16 (62.5) | 4/17 (23.5) | 12/17 (70.6) | 0.622 |
Lack of funding for ongoing provision of tests | 8/16 (50.0) | 8/16 (50.0) | 3/17 (17.6) | 12/17 (70.6) | 0.226 |
Lack of qualified technical staff | 6/16 (37.5) | 4/16 (25.0) | 2/17 (11.8) | 9/17 (56.3) | 0.101 |
Lack of MDs and/or PhDs with appropriate expertise | 6/16 (37.5) | 3/16 (18.8) | 3/17 (17.6) | 6/17 (37.5) | 0.438* |
Lack of clinical demand | 1/15 (6.7) | 6/15 (40.0) | 3/17 (17.6) | 1/17 (5.9) | 0.033* |
Lack of appropriate test regulation and oversight | 3/15 (20.0) | 2/15 (13.3) | 1/17 (5.9) | 0/17 (0) | 0.212* |
Existence of restrictive patents or licenses | 2/16 (12.5) | 3/16 (18.8) | 1/17 (5.9) | 1/17 (5.9) | 0.335* |
@Referring labs were told to skip the question if they did not want to provide MOT on-site
*Fisher exact test