Table 4.

Logistic regressions

« Did you change your activity since the outbreak? »
	n	OR (95% CI)	P value	aOR (95% CI)	P value
Age	5424*	0.99 (0.99 to 1.00)	0.01	1.00 (0.99 to 1.00)	0.170
Gender	p=0.13
Male	2511	1		1
Female	2914	1.10 (0.97 to 1.23)	0.1	1.07 (0.94 to 1.21)	0.307
Type of practice	p<0.001
Alone	1035	1		1
Mono	2226	1.02 (0.87 to 1.20)	0.8	1.00 (0.85 to 1.17)	0.953
Multi	2164	1.37 (1.16 to 1.61)	<0.001	1.32 (1.12 to 1.56)	0.001
« Did you increase your remote consultations since the outbreak? »
	n	OR (95% CI)	P value	aOR (95% CI)	P value
Age	5424†	1.00 (0.99 to 1.00)	0.05	1.00 (0.99 to 1.00)	0.35
Gender	p=0.018
Male	2511	1		1
Female	2914	1.15 (1.03 to 1.29)	0.02	1.13 (1.00 to 1.27)	0.04
Type of practice	p=0.004
Alone	1035	1		1
Mono	2226	0.97 (0.83 to 1.13)	0.69	0.95 (0.81 to 1.11)	0.49
Multi	2164	1.19 (1.02 to 1.39)	0.03	1.16 (0.98 to 1.36)	0.08
« Have you set up a specific pathway for COVID-19 patients? »
	n	OR (95% CI)	P value	aOR (95% CI)	P value
Age	5424‡	0.99 (0.99 to 0.99)	<0.001	1.00 (0.99 to 1.00)	0.08
Gender	p=0.66
Male	2511	1		1
Female	2914	0.97 (0.87 to 1.09)	0.6	0.92 (0.82 to 1.04)	0.17
Type of practice	p<0.001
Alone	1035	1		1
Mono	2226	1.57 (1.33 to 1.87)	<0.001	1.54 (1.30 to 1.84)	<0.001
Multi	2164	2.93 (2.48 to 3.46)	<0.001	2.84 (2.40 to 3.38)	<0.001

*T-test: p=0.016.

†T-test: p=0.054.

‡T-test: p<0.001.

aOR, adjusted OR.