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Table 12 Univariable and multivariable binary logistic regression analysis of predictors of drug interactions

From: Assessment of drug therapy problems among patients with cervical cancer at Kenyatta National Hospital, Kenya

Variable Univariable analysis P value Multivariable analysis P value
COR (95% CI) AOR (95% CI
Age (years)
 29–39 1   1  
 40–50 1.1(0.22–6.73) 0.957 1.9(0.21–19.11) 0.558
  ≥ 51 0.2(0.02–1.54) 0.109 0.5 (0.04–6.11) 0.591
Education
 Illiterate 1   1  
 Literate 1.1(0.13–10.38) 0.906 0.3(0.04–3.02) 0.318
Marital status
 Single 1   1  
 Married 0.6(0.14–2.77) 0.529 1.2 (0.23–6.11) 0.851
Co-morbidity
 No 1   1  
 Yes 6.1(0.71–51.61) 0.101 1.2(0.11–16.32) 0.882
 Retroviral disease 14.0(2.93–66.72) 0.001* 8.8(1.22–68.23) 0.037*
Number of medications
  < 5 1   1  
  ≥ 5 0.45(0.11–1.85) 0.269 0.2(0.03–1.24) 0.081
Type of cancer
 Adenocarcinoma & Invasive anaplastic carcinoma 1   1  
 Squamous cell carcinoma 0.3(0.42–1.62) 0.150 0.4(0.02–6.41) 0.723
Stage of cervical cancer
 Early stage 1   1  
 Advanced stage 0.6(0.11–3.48) 0.597 1.5(0.21–11.72) 0.651
  1. COR Crude odds ratio, AOR Adjusted odds ratio, 95% CI 95% confidence interval, *Statistically significant: P value ≤0.05