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Table 5 Multiple linear regression analysis predicting information nee of women with breast cancer on adjuvant therapy at TASH, Addis Ababa, Ethiopia, June to August 2022 (n = 121)

From: Predictors of information needs among women with breast cancer receiving adjuvant therapy at Tikur Anbessa specialized hospital, Addis Ababa Ethiopia: a cross-sectional study

Predictors

Crud Unstandardized ß 95% CI of β

Adjusted Unstandardized ß 95% CI of β

Age

Time Since Diagnosis

-0.35(-0.79,0.09)**

-3.26(-6.61, 0.02)**

-0.169(-0.643, 0.305)

-3.28(-7.3, 0.74)

Residence

  

 Rural

Ref

 

 Urban

-3.78(-7.19, 14.74)

0.31(-10.78, 11.4)

Occupation

  

 Employed

Ref

 

 Unemployed

1.67(-8.68, 12.01)

8.52(-2.45, 19.49)

Marital Status

  

 Never Married

 Married

 Separated

Ref

5.04(-11.16, 21.23)

-3.65(-21.09, 13.8)

3.66(-12.8, 20.12)

-1.78(-20.06, 16.5)

Level of Education

  

 No formal education

Ref

 

 <High School

 ≥High School

10.59(-5.02, 26.20)

18.32(3.39, 33.27)*

9.42(-6.59, 25.42)

17.81(1.47, 34.14)*

Source of Funding

  

 Not Sponsored

Ref

 

 Sponsored

-7.66(-18.33, 3.01)**

-2.84(-14.51, 8.84)

Combination of Therapy

  

 AC-T

 AC

2.40(-9.14, 13.95)

10.61(-10.33, 31.56)

0.33(-13.54, 14.21)

9(-13.45, 31.45)

 Others

Ref

 

Type of Surgery

  

 Mastectomy

15.37(-2.81, 33.55)**

12.92(-6.21,32.04)

 BCS

Ref

 

Type of Treatment

  

 Single treatment

12.77(1.14, 24.41)*

12.68(0.68, 24.68)*

 Combined treatment

Ref

 
  1. Notes: Constant = 166.4, R = 0.425, R Square = 0.181, Adjusted R Square = 0.082; **Significant at p value < 0.25, * Significance value < 0.05. Dependent variable: Information need. Max VIF 1.22 (no Multicollinearity: VIF < 10)