Multivariable binary logistic regression for meniscectomy
| Variable | Binary logistic regression for meniscectomy* | |
| OR (95% CI) | P value | |
| Constant | 1.07 | 0.658 |
| Age 30–44 years (baseline 14–29 years) | 3.57 (2.74 to 4.65) | <0.001 |
| Female sex (baseline=male) | 1.28 (0.96 to 1.71) | 0.100 |
| ADI percentile group (reference group: <25th percentile) | ||
| 25–75th percentile | 1.55 (1.15 to 2.10) | 0.004 |
| >75th percentile | 1.46 (1.02 to 2.07) | 0.037 |
| Low-volume surgeon (reference group: high volume) | 1.44 (1.11 to 1.87) | 0.007 |
Multivariable binary logistic regression demonstrating influence of age category, sex, ADI category and surgeon volume on receiving meniscectomy (coded as ‘1’) vs meniscus repair (coded as ‘0’). Statistical significance at p<0.05 (bold). ADI percentile: 25th=54, 50th=68, 75th=77. Higher percentile ADI indicating more disadvantaged community.
*Nagelkerke R2=0.129.
ADI, Area Deprivation Index.