Table 3

Univariable analyses of predictor variables of practice admission rate (n=145) 2006/2007

 Variable IRR (95% CI) % Change p Value Total clinical points 0.999 (0.997 to 1.001) −0.1% 0.15 Total organisational points 0.997 (0.995 to 0.999) −0.3% 0.005 % Satisfied with phone access 0.996 (0.992 to 0.999) −0.4% 0.01 % Able to book 2 days ahead 0.997 (0.994 to 0.999) −0.3% 0.005 % Able to get appointment in 48 h 0.992 (0.986 to 0.997) −0.8% 0.002 % Able to book with a specific GP 0.993 (0.988 to 0.998) −0.7% 0.005 % Satisfied with opening hours 1.001 (0.994 to 1.008) 0.1% 0.83 Distance from hospital (miles) 0.984 (0.977 to 0.991) −1.6% <0.0001 % of Practice male 0.99 (0.966 to 1.014) −1.0% 0.38 Age (% of practice patients 65+ years) 1.01 (1.00 to 1.03) 1.0% 0.01 Practice deprivation score 1.01 (1.008 to 1.016) 1.0% <0.0001 % of Practice white ethnicity 0.999 (0.996 to 1.002) −0.1% 0.29 Size of practice (no of patients) 0.99998 (0.99997 to 0.99999) −0.002% 0.0005 Coronary heart disease prevalence 1.11 (1.04 to 1.18) 11% 0.0004 % Response rate to access survey 0.995 (0.98 to 1.01) −0.5% 0.053
• N=145 for all variables.

• Figures in the second column are incident rate ratios (IRR). Subtracting 1 from the IRR and then multiplying by 100 gives the percentage change in the expected admissions count for a 1 unit increase in the predictor. So for practice deprivation score, for every extra deprivation point, the expected admissions count increases by 1%. For distance, for every mile more distant from the practice, the expected admissions count decreases by 1.6%. IRR less than 1.0 represent decreases and IRR greater than 1.0 represent increases in the count. Statistical model: negative binomial regression, using log of the list size as the offset.

• GP, general practitioner.