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Table 4 Factors that affect the use of four indicators 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

Indicator 2

Indicator12

Indicator13

indicator 15

OR(95%CI)

OR(95%CI)

OR(95%CI)

OR(95%CI)

Age

 40–50

0.807 (0.608–1.071)

0.468 (0.125–1.753)

0.862 (0.325–2.282)

0.943 (0.693–1.282)

 50–60

0.850 (0.635–1.138)

0.203 (0.044–0.928)

0.676 (0.228–2.001)

1.219 (0.882–1.684)

 > 60

0.718 (0.501–1.029)

2.339 (0.168–32.547)

0.865 (0.134–5.588)

1.299 (0.879–1.920)

 < 40

Ref.

Ref.

Ref.

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Complications

 1

1.339 (1.036–1.731)

1.102 (0.175–6.922)

1.073 (0.220–5.231)

1.319 (0.982–1.773)

 ≥ 2

1.830 (1.166–2.874)

0.371 (0.014–9.767)

0.825 (0.057–12.013)

0.583 (0.358–0.950)

 0

Ref.

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Types of insurance

 URBMI

1.386 (0.857–2.243)

1.409 (0.081–24.526)

4.376 (0.618–30.965)

1.354 (0.828–2.214)

 UEBMI

1.357 (1.116–1.650)

1.173 (0.318–4.325)

2.232 (0.771–6.464)

1.873 (1.508–2.327)

 NCMS

Ref.

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Income

 ≥ ¥ 24,565

14.142 (0.384–520.935)

2.625 (0.014–506.325)

1.841 (0.064–52.931)

10.341 (1.161–92.116)

 < ¥ 24,565

Ref.

Ref.

Ref.

Ref.

Grade

 Moderate differentiated

2.079 (1.394–3.100)

2.466 (0.430–14.139)

1.344 (0.310–5.830)

1.072 (0.709–1.619)

 Poor differentiated

1.654 (1.035–2.643)

1.645 (0.223–12.109)

0.473 (0.080–2.798)

0.917 (0.544–1.547)

 Unkown

3.277 (2.079–5.167)

1.462 (0.303–7.058)

0.876 (0.168–4.578)

1.406 (0.854–2.316)

 High differentiated

Ref.

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Stage

 II

1.341 (1.046–1.718)

0.254 (0.079–0.813)

0.250 (0.091–0.685)

1.071 (0.818–1.402)

 III

1.501 (1.136–1.984)

0.286 (0.041–1.996)

0.213 (0.035–1.308)

1.426 (1.053–1.932)

 I

Ref.

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Tumor size

 2~5 cm/≥ 2 cm

1.626 (1.293–2.044)

0.667 (0.141–3.150)

1.146 (0.335–3.925)

1.011 (0.786–1.301)

 > 5 cm

2.805 (1.403–5.606)

–

–

0.606 (0.270–1.360)

 < 2 cm

Ref.

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Type of hospital

 Specialized hospital

4.726 (0.195–114.334)

1.035 (0.010–112.506)

11.045 (0.584–208.892)

2.648 (0.394–17.822)

 General hospital

Ref.

Ref.

Ref.

Ref.

  1. Missing data were characterized as unknown
  2. For indicator 12, indicator 13, tumor sizes was divided into < 2 cm and ≥ 2 cm; for indicator 2 and indicator 15, tumor sizes was divided into < 2 cm,2~5 cm and ≥ 5 cm
  3. All variables in the Multilevel logistic regression analysis were adjusted for each other
  4. aAbbreviations: OR odds ratio, NCMS New Rural Cooperative Medical Scheme, URBMI Urban Resident Basic Medical Insurance, UEBMI Urban Employed Basic Medical Insurance