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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

VariablesIndicator 2Indicator12Indicator13indicator 15
OR(95%CI)OR(95%CI)OR(95%CI)OR(95%CI)
Age
 40–500.807 (0.608–1.071)0.468 (0.125–1.753)0.862 (0.325–2.282)0.943 (0.693–1.282)
 50–600.850 (0.635–1.138)0.203 (0.044–0.928)0.676 (0.228–2.001)1.219 (0.882–1.684)
 > 600.718 (0.501–1.029)2.339 (0.168–32.547)0.865 (0.134–5.588)1.299 (0.879–1.920)
 < 40Ref.Ref.Ref.Ref.
Complications
 11.339 (1.036–1.731)1.102 (0.175–6.922)1.073 (0.220–5.231)1.319 (0.982–1.773)
 ≥ 21.830 (1.166–2.874)0.371 (0.014–9.767)0.825 (0.057–12.013)0.583 (0.358–0.950)
 0Ref.Ref.Ref.Ref.
Types of insurance
 URBMI1.386 (0.857–2.243)1.409 (0.081–24.526)4.376 (0.618–30.965)1.354 (0.828–2.214)
 UEBMI1.357 (1.116–1.650)1.173 (0.318–4.325)2.232 (0.771–6.464)1.873 (1.508–2.327)
 NCMSRef.Ref.Ref.Ref.
Income
 ≥ ¥ 24,56514.142 (0.384–520.935)2.625 (0.014–506.325)1.841 (0.064–52.931)10.341 (1.161–92.116)
 < ¥ 24,565Ref.Ref.Ref.Ref.
Grade
 Moderate differentiated2.079 (1.394–3.100)2.466 (0.430–14.139)1.344 (0.310–5.830)1.072 (0.709–1.619)
 Poor differentiated1.654 (1.035–2.643)1.645 (0.223–12.109)0.473 (0.080–2.798)0.917 (0.544–1.547)
 Unkown3.277 (2.079–5.167)1.462 (0.303–7.058)0.876 (0.168–4.578)1.406 (0.854–2.316)
 High differentiatedRef.Ref.Ref.Ref.
Stage
 II1.341 (1.046–1.718)0.254 (0.079–0.813)0.250 (0.091–0.685)1.071 (0.818–1.402)
 III1.501 (1.136–1.984)0.286 (0.041–1.996)0.213 (0.035–1.308)1.426 (1.053–1.932)
 IRef.Ref.Ref.Ref.
Tumor size
 2~5 cm/≥ 2 cm1.626 (1.293–2.044)0.667 (0.141–3.150)1.146 (0.335–3.925)1.011 (0.786–1.301)
 > 5 cm2.805 (1.403–5.606)0.606 (0.270–1.360)
 < 2 cmRef.Ref.Ref.Ref.
Type of hospital
 Specialized hospital4.726 (0.195–114.334)1.035 (0.010–112.506)11.045 (0.584–208.892)2.648 (0.394–17.822)
 General hospitalRef.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