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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