Table 1.

ORs for the Binary Logit explaining the awareness of doctor-rating websites

	Model 1	Model 2	Model 3	Model 4
Awareness
Age	0.953 (0.0239)*	0.931 (0.0307)**
Gender	1.347 (0.648)	1.819 (1.092)
WhiteBritish	0.595 (0.309)	0.841 (0.524)	0.401 (0.276)	0.0150 (0.0292)**
White Non British	0.273 (0.198)*	0.398 (0.324)	0.228 (0.200)*	0.00399 (0.00957)**
Education	1.105 (0.341)	1.396 (0.534)	1.279 (0.438)	1.682 (1.399)
Income	0.952 (0.157)	0.943 (0.169)	0.708 (0.132)*	0.228 (0.180)*
HC_HospComp		1.173 (0.366)	1.353 (0.442)	2.237 (1.825)
HC_Clinical_Performance		0.691 (0.245)	0.527 (0.207)	0.0342 (0.0609)*
HC_Familiarity		0.710 (0.170)	0.756 (0.202)	2.564 (2.096)
HC_GP_Reputation		1.409 (0.509)	1.611 (0.599)	13.57 (19.95)*
HC_FinPerform		0.921 (0.264)	0.963 (0.297)	0.0783 (0.0919)**
HC_Access		1.112 (0.236)	1.088 (0.242)	0.917 (0.444)
SI_GP_Advice		1.173 (0.350)	0.922 (0.290)	1.115 (0.718)
SI_HospStat		1.291 (0.410)	1.390 (0.477)	49.75 (87.28)**
SI_Family		0.935 (0.361)	0.614 (0.273)	0.146 (0.186)
SI_PastExp		0.762 (0.275)	1.202 (0.499)	0.284 (0.343)
SI_DoctorRating		0.938 (0.261)	0.933 (0.271)	1.859 (1.119)
DOC_Listens			0.416 (0.324)	1.182 (2.244)
DOC_Time			1.289 (0.950)	0.00185 (0.00580)**
DOC_Explains			2.533 (1.799)	0.885 (1.658)
DOC_Friend			0.752 (0.535)	15.62 (30.63)
DOC_Trust			0.930 (0.583)	3.173 (4.555)
Participation			1.080 (0.298)	3.346 (2.835)
Age Match			2.247 (1.429)	269.4 (791.0)*
Gender Match			3.153 (1.867)*	32.77 (61.36)*
SAT_C_GP				3.020 (2.948)
SAT_C_Hosp				0.802 (1.134)
SAT_C_Doc				2.794 (3.411)
SAT_C_Treatment				1.818 (2.311)
SAT_C_Time				0.735 (0.550)
Same GP				0.641 (0.766)

Exponentiated coefficients; SE in parentheses.

*p<0.10, **p<0.05, ***p<0.01.