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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

VariablesORa (95%CI)P value
Age
 40–500.933 (0.715–1.216)0.5939
 50–601.152 (0.876–1.513)0.2969
 > 601.202 (0.864–1.672)0.2617
 < 40Ref. 
Complications
 11.162 (0.913–1.480)0.2058
 ≥ 21.272 (0.833–1.942)0.2463
 0Ref. 
Types of insurance
 URBMI0.924 (0.608–1.405)0.6943
 UEBMI1.352 (1.125–1.625)0.0032
 NCMSRef. 
Income
 ≥ ¥ 24,5659.382 (0.973–90.467)0.0521
 < ¥ 24,565Ref. 
Grade
 Moderate differentiated1.661 (1.127–2.448)0.0126
 Poor differentiated1.621 (1.039–2.528)0.0347
 Unkown0.635 (0.409–0.985)0.0432
 high differentiatedRef. 
Stage
 II5.100 (3.995–6.512)< 0.0001
 III3.866 (2.956–5.058)< 0.0001
 IRef. 
Tumor size
 2~5 cm0.487 (0.392–0.607)< 0.0001
 > 5 cm0.846 (0.476–1.501)0.5447
 < 2 cmRef. 
Type of hospital
 Specialized hospital2.901 (0.396–21.233)0.2383
 General hospitalRef. 
  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