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 | |