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Table 2 Example of univariate and multiple regression analysis for waiting times for coronary angioplasty

From: Using routine data to monitor inequalities in an acute trust: a retrospective study

Independent Variable Level N Univariate analysis Adjusted analysis$
    OR (95% CI) p-value OR (95% CI) p-value
Age 18-54 71 (291) Reference    
  55-64 146 (540) 1.15 (0.83- 1.59) 0.41 1.13 (0.82- 1.57) 0.47
  65-74 159 (666) 0.97 (0.71- 1.34) 0.86 0.97 (0.70- 1.34) 0.83
  75+ 89 (336) 1.12 (0.78- 1.60) 0.55 1.10 (0.76- 1.60) 0.60
Sex Male 333 (1355) Reference    
  Female 132 (478) 1.17 (0.93- 1.48) 0.19 1.15 (0.90- 1.46) 0.26
Ethnicity White 266 (1038) Reference    
  Asian 146 (574) 0.99 (0.78- 1.25) 0.93 0.87 (0.68- 1.12) 0.27
  Black 14 (71) 0.71 (0.39- 1.30) 0.27 0.58 (0.32- 1.08) 0.08
  Mixed & Other 39 (150) 1.02 (0.69- 1.51) 0.92 0.92 (0.62- 1.37) 0.68
Deprivation Q1-3 197 (867) Reference    
  Q4-5 268 (966) 1.31 (1.06- 1.62) 0.01 1.32 (1.06- 1.66) 0.02
Comorbidity No 210 (924) Reference    
  Yes 255 (909) 1.33 (1.07- 1.64) 0.01 1.32 (1.06- 1.64) 0.01
  1. † Significant at p < 0.01 level.
  2. $ Adjusted for age, sex, ethnicity, social deprivation and comorbidity.