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

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

Variable	Univariable analysis	P value	Multivariable analysis	P value
Variable	COR (95% CI)	P value	AOR (95% CI	P value
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

COR Crude odds ratio, AOR Adjusted odds ratio, 95% CI 95% confidence interval, ^*Statistically significant: P value ≤0.05

ISSN: 2053-6844