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

From: 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

Parameter Unadjusted Model Adjusted Model
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 Quintilea
 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
  1. 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
  2. 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