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Table 3 Factors that affect the quality of care in Multilevel logistic regression modela

From: Factors analysis on the use of key quality indicators for narrowing the gap of quality of care of breast cancer

Variables

ORa (95%CI)

P value

Age

 40–50

0.933 (0.715–1.216)

0.5939

 50–60

1.152 (0.876–1.513)

0.2969

 > 60

1.202 (0.864–1.672)

0.2617

 < 40

Ref.

 

Complications

 1

1.162 (0.913–1.480)

0.2058

 ≥ 2

1.272 (0.833–1.942)

0.2463

 0

Ref.

 

Types of insurance

 URBMI

0.924 (0.608–1.405)

0.6943

 UEBMI

1.352 (1.125–1.625)

0.0032

 NCMS

Ref.

 

Income

 ≥ ¥ 24,565

9.382 (0.973–90.467)

0.0521

 < ¥ 24,565

Ref.

 

Grade

 Moderate differentiated

1.661 (1.127–2.448)

0.0126

 Poor differentiated

1.621 (1.039–2.528)

0.0347

 Unkown

0.635 (0.409–0.985)

0.0432

 high differentiated

Ref.

 

Stage

 II

5.100 (3.995–6.512)

< 0.0001

 III

3.866 (2.956–5.058)

< 0.0001

 I

Ref.

 

Tumor size

 2~5 cm

0.487 (0.392–0.607)

< 0.0001

 > 5 cm

0.846 (0.476–1.501)

0.5447

 < 2 cm

Ref.

 

Type of hospital

 Specialized hospital

2.901 (0.396–21.233)

0.2383

 General hospital

Ref.

 
  1. All variables in the Multilevel logistic regression analysis were adjusted for each other
  2. aAbbreviations: OR odds ratio, NCMS New Rural Cooperative Medical Scheme, URBMI Urban Resident Basic Medical Insurance, UEBMI Urban Employed Basic Medical Insurance
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