Table 4 Multi-level multivariate regression predicting the associations between gender and age concordance on four PREMs, accounting for Gender Equality Index (GEI)^a,b

GEI—LOW

Gender dyads (ref = female/female)

 •female GP/male patient

-1.00 (0.62)

0.58 (1.15)

1.01 (0.06)

-1.10 (0.89)

 •male GP/female patient

-10.83 (3.24)*

-5.62 (2.46)*

0.92 (0.04)

-5.20 (6.65)

 •male GP/male patient

-12.15 (3.09)*

-7.32 (2.97)*

0.77 (0.07)*

-5.91 (6.65)

GEI—MIDDLE

Gender dyads (ref = female/female)

 •female GP/male patient

-2.79 (0.70)*

-1.29 (1.14)

0.76 (0.04)*

-1.75 (1.01)

 •male GP/female patient

0.67 (2.40)

-4.27 (3.69)

0.83 (0.04)*

-14.92 (5.62)*

 •male GP/male patient

0.02 (2.33)

-3.57 (3.98)

0.81 (0.07)*

-15.12 (5.77)*

GEI—HIGH

Gender dyads (ref = female/female)

 •female GP/male patient

-0.22 (0.62)

1.22 (0.97)

0.96 (0.08)

0.58 (0.89)

 •male GP/female patient

-6.63 (1.43)*

-4.95 (2.04)*

0.83 (0.05)*

-15.53 (4.73)*

 •male GP/male patient

-6.72 (1.40)*

-5.29 (2.72)*

0.79 (0.09)*

-16.25 (4.43)*

Reduction of variance ^d

 Country level

7.0%

12%

27.1%

11.1%

 GP level

2.8%

4.1%

-2.8%

1.9%

ICC's empty models

 Country level

10.6%

15.8%

5.3%

41.2%

 GP level

63.6%

56.9%

19.3%

55.7%