Table 2:

Model outputs from multilevel regression analysis

VariablePayments, $No. of patientsNo. of visitsNo. of visits per patient
EstimateSEp valueEstimateSEp valueEstimateSEp valueEstimateSEp value
Female FPs v. male FPs*−11021.01721.4< 0.0001−494.418.0< 0.0001−986.136.0< 0.00010.40.0< 0.0001
Increase per year in male FPs
 1992–2004140.882.40.087627.70.8< 0.0001−2.71.60.09640.00.0< 0.0001
 2005–201318730.099.7< 0.0001−40.70.9< 0.0001−166.82.0< 0.00010.00.0< 0.0001
 2014–2018−9785.6210.1< 0.0001−24.41.8< 0.0001−96.14.1< 0.0001−0.10.0< 0.0001
Differences in slopes (increase per year) for female FPs v. male FPs
 1992–2004−10.1133.40.9395−0.51.10.662216.32.6< 0.00010.00.00.6022
 2005–2013−5300.3152.8< 0.000117.71.3< 0.000150.52.9< 0.00010.00.00.3173
 2014–20184866.0318.6< 0.00018.42.7< 0.000137.86.1< 0.00010.00.00.2625
 Age, yr550.141.5< 0.0001−22.40.5< 0.0001−4.20.9< 0.00010.10.0< 0.0001
 No. of visits28.50.1< 0.0001
 No. of patients7.20.3< 0.0001
 No. of visits per patient1136.196.8< 0.0001
 FTE1458.85.1< 0.00015229.711.4< 0.00011.40.0< 0.0001
  • Note: FP = family physician, FTE = full-time equivalent, SE = standard error.

  • * This is the difference when all covariates are set to their overall means and should not be interpreted as female FPs having $11 021 less earnings than male FPs.

  • Variables centred at their overall means.