Skip to main content

Table 6 Summary of multivariable logistic model output for variables predicting a match between the diagnosis provided by the student practitioner and the VAE app (N = 838)

From: Assisting differential clinical diagnosis of cattle diseases using smartphone-based technology in low resource settings: a pilot study

Matched

Coef.

Std. Err.

z

P > |z|

95% Confidence interval

User_Diag

 Blackleg

−1.48

0.63

−2.34

0.02

−2.72

−0.24

 CBPP

−1.02

0.70

−1.47

0.14

−2.39

0.34

 Colibacillosis

−0.37

0.68

−0.54

0.59

−1.69

0.96

 Cowdriosis

−0.76

0.92

−0.83

0.41

−2.56

1.04

 Fasciolosis

−0.53

0.65

−0.81

0.42

−1.80

0.75

 PGE

−0.95

0.60

−1.57

0.12

−2.13

0.23

 Pasteurellosis

−3.26

0.69

−4.72

0.00

−4.61

−1.90

 Rabies

−0.50

1.14

−0.44

0.66

−2.74

1.73

 Trypanosomiasis

−1.52

0.75

−2.02

0.04

−2.99

−0.05

 Tuberculosis

−1.02

0.83

−1.23

0.22

−2.64

0.60

 Other

−2.05

0.60

−3.43

0.00

−3.23

−0.88

VAE_Max

1.31

0.49

2.69

0.01

0.35

2.26

Town

 HOS

−1.73

0.48

−3.58

0.00

−2.68

−0.78

 ASS

−0.42

0.55

−0.77

0.44

−1.49

0.65

 BI1

−0.80

0.48

−1.69

0.09

−1.73

0.13

 BI2

−1.18

0.48

−2.48

0.01

−2.12

−0.25

 BI3

−2.80

0.56

−5.00

0.00

−3.90

−1.70

 BOK

−0.25

0.46

−0.55

0.58

−1.15

0.65

 DUK

−2.72

0.54

−5.03

0.00

−3.78

−1.66

 HWS

−0.97

0.53

−1.84

0.07

−2.00

0.07

 MAT

−2.01

0.56

−3.56

0.00

−3.12

−0.90

 MOD

−1.34

0.50

−2.65

0.01

−2.33

−0.35

 MOY

−1.59

0.48

−3.34

0.00

−2.52

−0.66

 SEB

−1.03

0.50

−2.04

0.04

−2.02

−0.04

 YAB

−1.86

0.49

−3.83

0.00

−2.82

−0.91

 ZIW

−1.77

0.44

−4.08

0.00

−2.63

−0.92

_cons

2.10

0.80

2.62

0.01

0.53

3.66

  1. LR chi2(26) = 204; Log likelihood = −475
  2. Prob > chi2 = 0.00; Pseudo R 2 = 0.18