Are low and high utilization related to the way GPs manage their practices? An observational study

BMC Primary Care

Table 4 Model estimates for the regression of mean utilization rate on sociodemographic characteristics of four-digit postcode areas (data aggregated on four-digit postcode area, n = 893)

	B	P-value	Lower bound 95% CI	Upper bound 95% CI
Percentage gender age categories; reference category is proportion of males 25–39 years old
Males 0–4 years old	− 0.085	0.23	−0.225	0.055
Females 0–4 years old	0.028	0.68	−0.106	0.162
Males 5–14 years old	−0.014	0.74	−0.099	0.070
Females 5–14 years old	−0.069	0.14	−0.161	0.023
Males 15–24 years old	− 0.042	0.38	−0.135	0.052
Females 15–24 years old	−0.028	0.38	−0.092	0.035
Females 25–39 years old	0.035	0.53	−0.074	0.145
Males 40–64 years old	−0.024	0.55	−0.102	0.054
Females 40–64 years old	0.044	0.14	−0.014	0.103
Males 65–74 years old	0.053	0.35	−0.058	0.163
Females 65–74 years old	−0.064	0.24	−0.171	0.043
Males 75 years or older	0.096	0.10	−0.019	0.212
Females 75 years or older	0.080^a	0.04	0.005	0.156
Percentage of one-person households	−0.012^a	0.03	−0.023	− 0.001
Percentage of non-Western immigrants	0.005	0.12	−0.001	0.012
Percentage of people in low-income households	0.030^a	0.00	0.012	0.047
Status score	0.045	0.34	−0.048	0.139
Degree of urbanization; reference category is rural
Low urbanisation	0.387^a	0.00	0.191	0.583
Moderately urbanised	0.302^a	0.00	0.099	0.505
Strongly urbanised	0.381^a	0.00	0.161	0.600
Very strongly urbanised	0.345^a	0.02	0.059	0.631

ISSN: 2731-4553