Skip to main content

Table 11 Univariable and multivariable binary logistic regression analysis of predictors of adverse drug reactions

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 0.2(0.02–1.45) 0.102 0.1(0.02–0.61) 0.013*
  ≥ 51 0.3(0.03–2.29) 0.227 0.2(0.03–1.2) 0.123
Education
 Illiterate 1   1  
 Literate 1.59(0.41–6.26) 0.509 2.4(0.62–9.63) 0.231
Marital status
 Single 1   1  
 Married 1.7(0.59–4.99) 0.314 1.7(0.52–5.93) 0.392
Occupation
 Unemployed 1   1  
 Employed 0.9(0.08–10.44) 0.925 0.8(0.11–9.04) 0.845
Co-morbidity
 No 1   1  
 Yes 0.8(0.30–2.15) 0.668 0.7(0.23–2.31) 0.582
Number of medications
  < 5 1   1  
  ≥ 5 2.9(1.12–7.78) 0.032* 2.9(0.91–9.0) 0.071
Type of cancer
 Adenocarcinoma & Invasive anaplastic carcinoma 1   1  
 Squamous cell carcinoma 0.4(0.04–3.09) 0.343 0.1 (0.00–5.42) 0.271
Stage of cervical cancer
 Early stage 1   1  
 Advanced stage 4.8(1.37–16.79) 0.014* 5.8(1.43–24.61) 0.017*
  1. COR Crude odds ratio, AOR Adjusted odds ratio, 95% CI 95% confidence interval, *Statistically significant: P value ≤0.05