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Table 4 Estimates of multinomial logit and probit models

From: Horizontal equity in access to public GP services by socioeconomic group: potential bias due to a compartmentalised approach

Public GP equationaMultinomial logitMultinomial probit
Coefficient (se)p-valueCoefficient (se)p-value
Female0.1642 (0.0343)0.0000.1396 (0.0271)0.000
Age 15–34Ref.Ref.Ref.Ref.
Age 35–44−0.066 (0.0659)0.317−0.0469 (0.0501)0.349
Age 45–54− 0.0554 (0.0649)0.393−0.041 (0.0497)0.410
Age 55–640.0934 (0.0637)0.1430.0737 (0.0495)0.137
Age more than 640.2698 (0.0681)0.0000.2199 (0.0535)0.000
Health very goodRef.Ref.Ref.Ref.
Health good0.3412 (0.0578)0.0000.2677 (0.0429)0.000
Health fair1.0196 (0.0646)0.0000.8427 (0.0494)0.000
Health bad1.5223 (0.082)0.0001.2554 (0.0638)0.000
Health very bad1.6227 (0.1228)0.0001.3361 (0.0966)0.000
Chronics0.7419 (0.0489)0.0000.5772 (0.0367)0.000
InactiveRef.Ref.Ref.Ref.
Employed−0.2053 (0.0534)0.000−0.1642 (0.0419)0.000
Unemployed−0.0651 (0.0675)0.335−0.0579 (0.0534)0.278
Primary studies or lessRef.Ref.Ref.Ref.
Obligatory Secondary studies−0.0032 (0.0474)0.946−0.0026 (0.0382)0.946
Occupational training or pre-university studies−0.0502 (0.0563)0.372−0.0334 (0.0446)0.453
University studies−0.0406 (0.0685)0.553−0.0053 (0.0532)0.920
High social class (SC)Ref.Ref.Ref.Ref.
Medium-high SC0.1636 (0.0599)0.0060.1053 (0.0456)0.021
Medium-low SC0.2884 (0.0623)0.0000.2012 (0.0479)0.000
Low social class0.3396 (0.0709)0.0000.2446 (0.0553)0.000
Intercept−2.3676 (0.0991)0.000−1.8932 (0.0754)0.000
Pseudo R20.0895 
N22,45022,450
  1. a Not visiting any health services as reference. This table only shows the coefficients corresponding to the public general practitioner (GP) equation. Private GP, public and private specialist equations are shown in an Appendix