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Table 10 Univariable and multivariable binary logistic regression analysis of predictors of drug related problems

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

Variable

Univariable analysis

 

Multivariable analysis

 
 

COR (95% CI)

P value

AOR (95% CI)

P value

Age (years)

 29–39

1

 

1

 

 40–50

2.6(0.14–46.21)

0.525

3.4(0.13–241)

0.263

  ≥ 51

1.6(0.15–17.76)

0.689

2.3(0.14–59.22)

0.489

Education

 Illiterate

1

 

1

 

 Literate

1.9(0.18–18.81)

0.599

2.5(0.12–48.81)

0.541

Income (USD)

  < 100

1

 

1

 

 100–200

0.9(0.09–9.47)

0.938

1.2(0.12–13.52)

0.855

 200–500

0.2(0.01–2.08)

0.162

0.1(0.00–1.13)

0.061

Marital status

 Single

1

 

1

 

 Married

0.8(0.08–7.23)

0.803

0.9(0.14–5.80)

0.927

Occupation

 Unemployed

1

 

1

 

 Employed

0.1(0.01–1.48)

0.096

0.1(0.01–1.41)

1.423

Co-morbidity

 No

1

 

1

 

 Yes

1.0(0.16–6.56)

0.982

0.8(0.11–5.11)

0.767

Number of medications

  < 5

1

 

1

 

  ≥ 5

2.6(0.41–16.53)

0.321

2.5(0.32–21.61)

0.399

Stage of cervical cancer

 Early stage

1

 

1

 

 Advanced stage

9.9 (1.45–67.58)

0.019*

15.4 (1.3–185.87)

0.031*

  1. COR Crude odds ratio, AOR Adjusted odds ratio, 95% CI 95% confidence interval, *Statistically significant: P value ≤0.05
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Gynecologic Oncology Research and Practice

ISSN: 2053-6844

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