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. Author manuscript; available in PMC: 2015 Dec 1.
Published in final edited form as: Breast. 2014 Oct 1;23(6):821–828. doi: 10.1016/j.breast.2014.08.014

Table 4.

Logistic regression model to predict patients not completing treatment

Variable Coefficient (β) Standard Error Wald χ2 p-value Odds Ratio1 95% CI1
Intercept −3.7166 1.5883 5.4754 0.0193 ----- -----
Age 0.0633 0.0273 0.0536 0.8169 1.006 0.954, 1.062
Stage
 I/II Ref Ref Ref Ref Ref Ref
 III/IV 0.2362 0.8709 0.0736 0.7862 1.266 0.230, 6.981
Region
 Ashanti Ref Ref Ref Ref Ref Ref
 Greater Central and Northern Ghana 0.4774 0.9687 0.2428 0.6222 1.612 0.241, 10.762
 Southern Ghana and External Areas 1.4823 1.2246 1.4650 0.2261 1.4823 0.399, 48.546
Occupation
 Business Ref Ref Ref Ref Ref Ref
 Farming/Agriculture 0.5045 1.0477 0.2319 0.6301 1.656 0.212, 12.909
 Professional Occupation −2.3649 1.3437 3.0974 0.0784 0.094 0.007, 1.308
 Service (Low-Income) −0.1965 1.1173 0.0309 0.8604 0.822 0.092, 7.340
 Unemployed 1.1710 0.9162 1.6337 0.2012 3.225 0.535, 19.428
Marital Status
 Married Ref Ref Ref Ref Ref Ref
 Other (Divorced/Single/Widowed) 0.2287 0.7221 0.1003 0.7515 1.257 0.305, 5.175
Religion
 Christian Ref Ref Ref Ref Ref Ref
 Islamic 1.8806 0.8876 4.4895 0.0341 6.557 1.151, 37.343
Traditional Healer Sought for Breast Care
 No Ref Ref Ref Ref Ref Ref
 Yes 2.3732 0.7404 10.2746 0.0013 10.732 2.515, 45.802
Knowledge of Insurance Coverage
 Yes Ref Ref Ref Ref Ref Ref
 No 2.4731 0.9246 7.1541 0.0075 11.859 1.936, 72.627
1

Unconditional logistic regression adjusted for all variables in this model