TABLE 4.

Multinomial logit model to explain choice.

Choicea		B	Std. error	Wald	Df	Sig.
Basic	Intercept	1.415	0.876	2.610	1	0.106
	Age	0.018	0.029	0.361	1	0.548
	Gender	0.009	0.161	0.003	1	0.955
	Subjective expertise	−0.151	0.070	4.678	1	0.031
	Relative health	0.053	0.061	0.753	1	0.385
	[Location = I]	0.153	0.176	0.761	1	0.383
	[Location = R]	0b	.	.	0	.
	[Detail = H]	−0.458	0.157	8.496	1	0.004
	[Detail = L]	0b	.	.	0	.
	[Doctor dummy = 0.00]	−0.509	0.224	5.167	1	0.023
	[Doctor dummy = 1.00]	0b	.	.	0	.
	[Clinical dummy = 0.00]	−0.666	0.218	9.364	1	0.002
	[Clinical dummy = 1.00]	0b	.	.	0	.
	[Hospital dummy = 0.00]	−0.425	0.220	3.721	1	0.054
	[Hospital dummy = 1.00]	0b	.	.	0	.
Superior	Intercept	−0.727	0.946	0.592	1	0.442
	Age	−0.042	0.032	1.712	1	0.191
	Gender	−0.045	0.178	0.064	1	0.800
	Subjective expertise	0.119	0.076	2.438	1	0.118
	Relative health	0.106	0.066	2.616	1	0.106
	[Location = I]	0.615	0.194	10.061	1	0.002
	[Location = R]	0b	.	.	0	.
	[Detail = H]	−0.406	0.174	5.454	1	0.020
	[Detail = L]	0b	.	.	0	.
	[Doctor dummy = 0.00]	−0.115	0.229	0.251	1	0.616
	[Doctor dummy = 1.00]	0b	.	.	0	.
	[Clinical dummy = 0.00]	0.457	0.246	3.455	1	0.063
	[Clinical dummy = 1.00]	0b	.	.	0	.
	[Hospital dummy = 0.00]	0.190	0.232	0.671	1	0.413
	[Hospital dummy = 1.00]	0b	.	.	0	.

^aThe reference category is: enhanced. ^bThis parameter is set to zero because it is redundant.