Skip to main content

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

Variables

ORa (95%CI)

P value

Age

â€ƒ40â€“50

0.933 (0.715â€“1.216)

0.5939

â€ƒ50â€“60

1.152 (0.876â€“1.513)

0.2969

â€ƒ>â€‰60

1.202 (0.864â€“1.672)

0.2617

â€ƒ<â€‰40

Ref.

Â

Complications

â€ƒ1

1.162 (0.913â€“1.480)

0.2058

â€ƒâ‰¥â€‰2

1.272 (0.833â€“1.942)

0.2463

â€ƒ0

Ref.

Â

Types of insurance

â€ƒURBMI

0.924 (0.608â€“1.405)

0.6943

â€ƒUEBMI

1.352 (1.125â€“1.625)

0.0032

â€ƒNCMS

Ref.

Â

Income

â€ƒâ‰¥â€‰Â¥ 24,565

9.382 (0.973â€“90.467)

0.0521

â€ƒ<â€‰Â¥ 24,565

Ref.

Â

Grade

â€ƒModerate differentiated

1.661 (1.127â€“2.448)

0.0126

â€ƒPoor differentiated

1.621 (1.039â€“2.528)

0.0347

â€ƒUnkown

0.635 (0.409â€“0.985)

0.0432

â€ƒhigh differentiated

Ref.

Â

Stage

â€ƒII

5.100 (3.995â€“6.512)

<â€‰0.0001

â€ƒIII

3.866 (2.956â€“5.058)

<â€‰0.0001

â€ƒI

Ref.

Â

Tumor size

â€ƒ2~5â€‰cm

0.487 (0.392â€“0.607)

<â€‰0.0001

â€ƒ>â€‰5â€‰cm

0.846 (0.476â€“1.501)

0.5447

â€ƒ<â€‰2â€‰cm

Ref.

Â

Type of hospital

â€ƒSpecialized hospital

2.901 (0.396â€“21.233)

0.2383

â€ƒGeneral hospital

Ref.

Â
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