Table 3 Multi-level multivariate regression predicting the associations between gender and age concordance on four PREMs

Age patient

-0.04 (0.02)

0.02 (0.02)

1.00 (0.00)

0.04 (0.02)*

Age GP

-0.16 (0.07)*

-0.09 (0.06)

1.00 (0.00)

0.11 (0.19)

Gender concordance (ref = female/female)

 •Female GP/male patient

-1.11 (0.41)*

0.15 (0.60)

0.89 (0.04)*

-0.69 (0.000)

 •Male GP/female patient

-4.77 (1.44)*

-3.55 (1.29)*

0.86 (0.03)*

-10.53 (2.74)*

 •Male GP/male patient

-5.18 (1.48)*

-3.62 (1.53)*

0.79 (0.04)*

-10.67 (2.76)*

Age concordance (ref = conc)

 •Discordant young GP

-0.04 (0.41)

0.62 (0.53)

0.92 (0.03)*

-0.49 (0.49)

 •Discordant old GP

0.21 (0.50)

1.69 (0.43)*

0.94 (0.04)

-0.99 (0.42)

Chronic condition (ref = no)

-0.28 (0.28)

-1.14 (0.32)*

1.16 (0.05)*

3.59 (0.49)*

Native (ref = yes)

-3.50 (0.78)*

-4.42 (1.03)*

0.82 (0.05)*

0.31 (0.46)

Education (ref = average)

 •Low

-2.49 (0.53)*

0.40 (0.72)

0.92 (0.04)

-0.002 (0.42)

 •High

1.39 (0.37)*

1.19 (0.46)*

1.08 (0.04)*

-0.68 (0.39)*

Income (ref = average)

 •low

-2.49 (0.53)*

-2.30 (0.65)*

0.93 (0.04)

0.19 (0.34)

 •high

1.39 (0.37)

0.31 (0.54)

1.17 (0.05)*

0.04 (0.43)

Practice location (ref = big city)

 •Suburbs

-1.58 (2.20)

1.25 (2.32)

1.10 (0.09)

2.40 (5.16)

 •Town

-2.97 (2.39)

1.98 (2.80)

1.23 (0.07)*

3.71 (4.45)

 •Mixed rural

1.52 (1.37)

4.78 (1.97)*

1.25 (0.09)*

10.53 (3.25)*

 •Rural

3.37 (2.24)

8.15 (2.56)*

1.35 (0.09)*

18.86 (6.29)*

Reduction of variance ^b

 Country level

-0.3%

4.4%

3.5%

15.7%

 GP level

0.7%

2.4%

-3.3%

0.0%

ICC's empty models

 Country level

14.4%

21.8%

10.1%

45.5%

 GP level

61.2%

52.6%

18.3%

51.4%