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 3 Segmented linear regression results examining impact of transition from tFFS to eFFS on UPC index

Parameter	Unadjusted Model			Adjusted Model
Parameter	Estimate	95% CI	P-Value	Estimate	95% CI	P-Value
Intercept (baseline UPC)	75.9	75.5 to 76.3	< 0.0001	57.2	56.3 to 58.1	< 0.0001
Pre-intervention slope (secular trend, per year)	0.35	0.30 to 0.41	< 0.0001	−0.27	− 0.34 to − 0.21	< 0.0001
Change in intercept (immediate impact)	0.42	0.45 to 0.58	< 0.0001	0.39	0.23 to 0.55	< 0.0001
Change in slope (gradual effect, per year)	−0.72	− 0.82 to − 0.61	< 0.0001	− 0.59	−0.69 to − 0.49	< 0.0001
Female physician	−1.05			−1.05	−1.80 to − 0.29	0.007
Physician panel size
< 500				0
500–999				4.10	3.97 to 4.23	< 0.0001
1000–1999				6.83	6.68 to 7.37	< 0.0001
2000–2999				7.52	7.37 to 7.67	< 0.0001
> 3000				8.16	7.99 to 8.34	< 0.0001
Foreign Trained				−2.59	−3.47 to −1.70	< 0.0001
Years since graduation				0.43	0.39 to 0.47	< 0.0001
Patient age				0.30	0.30 to 0.30	< 0.0001
Female patient				−0.96	−0.97 to − 0.94	< 0.0001
Adjusted Clinical Group (ACG)^b
0				0
1–4				−2.60	−2.66 to − 2.55	< 0.0001
5–9				−6.10	−6.16 to −6.05	< 0.0001
10+				−9.18	−9.24 to −9.12	< 0.0001
Income Quintile^a
1				0
2				−0.002	−0.021 to 0.018	0.88
3				−0.29	−0.31 to − 0.27	< 0.0001
4				− 0.36	− 0.38 to − 0.34	< 0.0001
5				− 0.37	− 0.39 to − 0.35	< 0.0001
Patient rurality
Urban				0
Suburban				− 0.26	− 0.29 to − 0.23	< 0.0001
Rural				−1.41	−1.48 to −1.35	< 0.0001

^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