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Table 4 Adjusted factors influencing the sensitivity, specificity and diagnostic accuracy of the RDT compared with the microscopy in Nigeria 2015 MIS

From: On the discriminatory and predictive accuracy of the RDT against the microscopy in the diagnosis of malaria among under-five children in Nigeria

Characteristics

Sensitivity

Specificity

Diagnostic accuracy

aOR (95% CI)

p-value

aOR (95% CI)

p-value

aOR (95% CI)

p-value

Child age (24–59 months)

 0–6 months

0.53 (0.04–6.84)

0.63

11.3 (2.58–49.6)*

0.00

3.88 (1.16–12.9)*

0.03

 7–23 months

0.52 (0.30–0.90)*

0.02

2.15 (1.67–2.77)*

0.00

1.32 (1.07–1.62)*

0.01

Anaemia level (moderate)

 Severe

5.46 (1.27–23.4)*

0.02

0.61 (0.30–1.24)

0.17

1.84 (1.16–2.94)*

0.01

 Mild

0.80 (0.41–1.56)

0.52

1.80 (1.36–2.40)*

0.00

1.13 (0.89–1.44)

0.31

 Not anaemic

0.38 (0.19–0.76)*

0.01

2.88 (2.15–3.86)*

0.00

1.45 (1.13–1.86)*

0.00

Treated malaria (yes)**

 No

1.73 (1.26–2.38)*

0.00

1.53 (0.76–3.08)

0.23

1.33 (0.90–1.98)

0.16

Zone (North west)

 North Central

6.49 (1.84–22.8)*

0.00

0.80 (0.55–1.17)

0.25

0.95 (0.69–1.30)

0.74

 North East

1.31 (0.69–2.52)

0.41

1.15 (0.83–1.59)

0.39

1.02 (0.78–1.32)

0.89

 South East

2.52 (0.6–10.55)

0.21

0.87 (0.53–1.41)

0.57

1.0 0(0.66–1.52)

1.00

 South South

1.45 (0.53–3.95)

0.47

1.30 (0.79–2.13)

0.30

1.21 (0.80–1.83)

0.36

 South West

3.29 (0.82–13.25)

0.09

0.78 (0.44–1.35)

0.37

0.87 (0.54–1.40)

0.58

Location (Rural)

 Urban

0.54 (0.23–1.27)

0.16

1.24 (0.90–1.70)

0.19

0.99 (0.74–1.31)

0.92

Sex (Male)

      

 Female

1.40 (0.86–2.30)

0.18

1.01 (0.81–1.28)

0.91

1.06 (0.87–1.28)

0.58

Wealth quintile (poorest)

 Poorer

0.73 (0.38–1.40)

0.34

1.22 (0.85–1.74)

0.28

1.21 (0.91–1.59)

0.19

 Middle

1.24 (0.42–3.68)

0.70

1.65 (1.08–2.53)*

0.02

1.42 (1.01–2.03)*

0.04

 Richer

0.34 (0.10–1.13)

0.08

2.31 (1.37–3.91)*

0.00

1.49 (0.95–2.32)

0.08

 Richest

0.53 (0.10–2.73)

0.44

3.04 (1.61–5.71)*

0.00

2.19 (1.26–3.83)*

0.01

  1. *Significant at 5%
  2. **Within 2 weeks preceding the survey