Table 3.
Predictors of malaria rapid diagnostic test (RDT) specificity (RDT negative, expert microscopy negative) in Blantyre, Malawi, 2009
Specificity n/N(%) |
Unadjusted odds ratio (P value) |
Adjusted odd ratio Model 1 (P value) |
Adjusted odds ratio Model 2 (P value) |
|
---|---|---|---|---|
RDT type | ||||
Bioline SD | 109/283 (39) | 0.5 (< 0.001) | 0.5 (< 0.001) | |
First response malaria | 128/307 (42) | 0.6 (< 0.001) | 0.7 (0.01) | |
Paracheck | 530/776 (68) | 1.8 (< 0.001) | 2.1 (< 0.001) | |
ICT diagnostics | 311/574 (54) | Referent | Referent | |
Age | ||||
5 to ≤ 15 yrs | 278/680 (41) | 0.4 (< 0.001) | 0.4 (< 0.001) | 0.4 (< 0.001) |
> 15 yrs | 778/1211 (64) | Referent | Referent | Referent |
Temperature | ||||
≥37.5°C | 422/790 (53) | 0.8 (0.03) | 0.8 (0.02) | 0.9 (0.20) |
< 37.5°C | 640/1092 (59) | Referent | Referent | Referent |
Self-treated with antimalarial in past 2 weeks | ||||
Yes | 126/254 (50) | 0.7 (0.02) | 0.7 (0.05) | 0.5 (< 0.001) |
No | 920/1605 (57) | Referent | Referent | Referent |
RDT performed by: | ||||
Community health worker | 346/810 (43) | 0.4 (< 0.001) | 0.4 (< 0.001) | |
Laboratory technician | 732/1130 (65) | Referent | Referent |
Model 1 assesses RDT type adjusted for patient age, temperature and self-treatment with anti-malarials.
Model 2 assesses RDT test operator (community health worker versus laboratory technician) RDT test operator adjusted for patient age, temperature and self-treatment with anti-malarials.