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Table 5 Segmented logistic regression results examining impact of transition from tFFS to eFFS on FPSC ED Visits

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

Estimatea

95% CI

P-Value

Estimate

95% CI

P-Value

Intercept (baseline ED)

−3.51

−3.53 to −3.50

< 0.0001

−3.28

−3.33 to −3.23

< 0.0001

Pre-intervention slope (secular trend, per year)

0.015

0.013 to 0.019

< 0.0001

0.018

0.015 to 0.021

< 0.0001

Change in intercept (immediate impact)

−0.011

−0.014 to −0.0070

0.0098

−0.010

−0.018 to − 0.0020

0.0128

Change in slope (gradual effect, per year)

−0.010

− 0.014 to − 0.0068

< 0.0001

−0.011

− 0.014 to − 0.0080

< 0.0001

Female physician

   

−0.041

− 0.089 to − 0.022

0.0123

Physician panel size

  < 500

   

0

  

 500–999

   

−0.021

−0.055 to − 0.060

0.015

 1000–1999

   

− 0.030

−0.067 to − 0.015

0.0018

 2000–2999

   

− 0.070

−0.098 to − 0.042

< 0.0001

  > 3000

   

− 0.074

− 0.110 to − 0.039

< 0.0001

Foreign Trained

   

− 0.23

−0.27 to − 0.19

< 0.0001

Years since graduation

   

0.0058

0.0040 to 0.0080

< 0.0001

Patient age

   

−0.021

−0.022 to − 0.021

< 0.0001

Female patient

   

− 0.047

− 0.051 to − 0.044

< 0.0001

Adjusted Clinical Group (ACG)c

 0

   

0

  

 1–4

   

0.20

0.19 to 0.21

< 0.0001

 5–9

   

0.79

0.77 to 0.80

< 0.0001

 10+

   

1.53

1.52 to 1.56

< 0.0001

Income Quintileb

 1

   

0

  

 2

   

−0.12

−0.12 to 0.11

0.88

 3

   

−0.194

−0.200 to − 0.189

< 0.0001

 4

   

− 0.256

− 0.261 to − 0.251

< 0.0001

 5

   

− 0.333

−0.338 to − 0.327

< 0.0001

Patient rurality

 Urban

   

0

  

 Suburban

   

0.65

0.64 to 0.65

< 0.0001

 Rural

   

1.31

1.29 to 1.31

< 0.0001

  1. aEstimates represent the log odds of an FPSC ED visit
  2. bincome 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
  3. cAdjusted 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