Table 4

Regression modelling for breast screening coverage among women aged 50–64 years

ModelUnivariatePopulationGeneral practicePopulation and general practice
Deviance explained by model70.7%31.0%70.6%
OR (95% CI)p Value (Wald, χ2)Deviance explained, %OR (95% CI)p Value (Wald, χ2)OR (95% CI)p Value (Wald, χ2)OR (95% CI)p Value (Wald, χ2)
Population factors
 Urbanisation, %0.992 (0.991 to 0.993)<0.00150.50.996 (0.995 to 0.998)<0.0010.996 (0.995 to 0.998)<0.001
 London SHA (Q36)0.642 (0.587 to 0.703)<0.00137.70.896 (0.811 to 0.990)0.030.885 (0.806 to 0.970)0.009
 Deprivation, %0.972 (0.967 to 0.978)<0.00138.80.991 (0.986 to 0.997)0.002_0.991 (0.985 to 0.997)0.004
 Asian, black or mixed ethnicity, %0.987 (0.985 to 0.989)<0.00149.10.999 (0.996 to 1.002)NS (0.5)
 ‘Other’ ethnicity, %0.880 (0.863 to 0.898)<0.00150.80.948 (0.923 to 0.973)<0.0010.945 (0.922 to 0.969)<0.001
 No higher education, %1.010 (1.001 to 1.019)NS (0.03)3.1
General practice factors
 Average practice list size1.00 010 (1.00 007 to 1.00 012)<0.00126.51.000 046 (1.000 006 to 1.000 087)0.031.00 001 (0.99 998 to 1.00 003)0.6
 Single-handed practices, %0.988 (0.984 to 0.991)<0.00124.20.9945 (0.9886 to 1.0004)NS (0.07)
 Practitioner headcount per 105 population0.996 (0.991 to 1.001)NS (0.1)1.7
 Practice staff FTE1.00 025 (1.00 015 to 1.00 035)<0.00114.11.000 099 0.999 990 to 1.000 209)NS (0.07)
 Practitioners qualified outside UK, %0.993 (0.990 to 0.995)<0.00116.00.9992 (0.9957 to 1.0027)NS (0.6)
  • FTE, full-time equivalent; NS, considered non-significant (see Methods section for details); SHA, strategic health authority.