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. 2009 Aug 4;9:138. doi: 10.1186/1472-6963-9-138

Table 8.

Multiple regression: effect of each factor on TCI total score.

Predictor (reference category) Test of predictor Fixed components Random components

δ d.f. P Parameter Estimate 95% CI p Parameter σ 95% CI
Gender 4.34 1 0.036 constant 54.49 49.33, 59.65 <0.001 Practices 1.29 0.02, 2.57

male 3.66 0.23, 7.08 0.04 Individuals 7.93 7.22, 8.64

Tenure 3.85 1 0.049 tenure/year 0.13 0.00, 0.26 0.05

Professional groups (GP) 7.57 4 0.109 nurse -5.36 -9.31, -1.40 0.01
admin -3.42 -6.75, -0.08 0.04
com nurse -3.21 -7.56, 1.16 0.15
Other -1.60 -5.48, 2.28 0.41

Practice list size (≤ 3500) 5.20 2 0.074 3501–7000 -4.07 -7.43, -0.72 0.02
>7000 -3.15 -6.84, 0.54 0.09

Number of GPs (1 or 2) 7.28 2 0.026 3–5 -2.53 -7.18, 2.13 0.29†
6 or more 1.79 -3.24, 6.82 0.49†

‡ The relative importance of each predictor is assessed by comparing the change in -2 log-likelihood that occurs when a particular predictor is omitted from the final model with the percentage points of a chi-squared distribution with degrees of freedom given in the column titled d.f.

σ = standard deviation of TCI scores (either between practices or between individuals within practices as specified).

† These estimates suggest that the difference between the smallest practice and the medium size practices and the difference between the smallest practices and the largest practices are not statistically significant; however the difference between medium and large practices is 4.32 with 95% CI (1.37, 7.28).