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

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

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	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^*

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

ISSN: 2053-6844