Skip to main content
. 2015 Aug 25;25(6):432–440. doi: 10.1136/bmjqs-2015-004338

Table 2.

Predicted probabilities of GP admission (vs A and E admission) and corresponding expected numbers of GP admissions, according to access to general practice, derived from multivariable multilevel logistic regression models

Predicted probabilities of GP admission, by access to general practice* Expected numbers of GP admissions, by access to general practice*†
60 <80 Actual ≥95 100 60 <80 Actual ≥95 100
All conditions 10.0 13.6 17.9 19.6 20.9 231 183 316 559 414 842 456 232 484 773
Subgroups
 COPD 8.7 11.0 14.7 16.2 17.0 8 532 10 758 14 341 15 763 16 576
 Pneumonia 7.7 10.8 14.9 16.6 17.6 10 285 14 457 19 826 22 075 23 437
 Urinary tract infections 10.9 12.5 17.4 18.5 19.7 12 025 13 766 19 109 20 390 21 690

Results adjusted for age, sex, ethnicity, socioeconomic status, urban/rural area of residence, diagnosis risk of general practice admission, the day and month of admission and the region of residence.

60, minimum value of access; <80, lowest access category; ≥95, highest access category; 100, maximum value of access; actual, access as recorded in dataset.

*Percentage of GP Patient Survey respondents registered to the patient's general practice who were able to obtain a general practice appointment on their last attempt.

†Obtained by multiplying the predicted probabilities by the number of admissions in the sample (all conditions: 2 322 112).

A and E, accident and emergency; COPD, chronic obstructive pulmonary disease; GP, general practitioner.