The impact of the adoption of a patient rostering model on primary care access and continuity of care in urban family practices in Ontario, Canada

Table 2 Physician and Patient Characteristics during the year of transition

Characteristic	N	Percentage (%)
Physicians
Sex
Male	2088	63.5
Female	1203	36.5
Canadian Trained	2502	76.0
Panel size
< 500	129	3.9
500–999	676	20.5
1000–1999	1834	55.7
2000–2999	580	17.6
> 3000	72	2.2
Years since Grad (mean, SD)	24.7 (9.5)
Patients
Sex
Male	1,655,749	43.6
Female	2,143,143	56.4
Age (mean, SD)	41.4 (22.1)
</=19	750,427	19.8
20–39	956,271	25.2
40–59	1,264,563	33.3
60–79	677,578	17.8
>/=80	150,053	4.0
Rurality
Urban	3,528,411	92.9
Sub-urban	228,313	6.0
Rural	34,190	1.0
Missing	7978	0.02
Income Quintile^a
1	726,353	19.1
2	750,767	19.8
3	753,366	19.8
4	773,195	20.4
5	788,390	20.8
Missing	6821	0.2
Adjusted Clinical Group (ACG)^b
0	47,988	1.3
1–4	1,395,673	36.7
5–9	1,901,853	50.1
10+	453,378	11.9

^aincome quintile represents the rank of the patient’s total household income based on the aggregate census data derived from postal code. The first quintile represents the highest incomes
^bAdjusted Clinical Groups (ACG) quantifies morbidity by grouping patients based on age and gender and all medical diagnoses in a given year. Those in group three represent represents those with the greatest morbidity

ISSN: 2731-4553