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. 2021 Mar 29;4(3):e213287. doi: 10.1001/jamanetworkopen.2021.3287

Table 2. Associations of Sociodemographic Variables With Any Correct Diagnosis and Dichotomized Triage Before and After Internet Search.

Variable Correct diagnosis Correct triage
Marginal effect size (95% CI)a P value Marginal effect size (95% CI)a P value
Age, yb
<30 1 [Reference] 1 [Reference]
30-39 1.0 (−3.0 to 5.1) .63 0.5 (−3.1 to 4.0) .80
40-49 5.1 (0.8 to 9.4) .02 2.9 (−0.8 to 6.7) .13
50-59 6.6 (1.8 to 11.3) .006 5.9 (1.8 to 10.0) .005
60-69 4.1 (−1.5 to 9.7) .15 2.3 (−2.7 to 7.3) .36
≥70 5.3 (−1.7 to 12.3) .14 3.5 (−2.4 to 9.5) .25
Sex
Female 1 [Reference] 1 [Reference]
Male −9.4 (−12.0 to −6.8) <.001 −4.5 (−6.8 to −2.3) <.001
Race/ethnicity
Non-Hispanic White 1 [Reference] 1 [Reference]
Non-Hispanic Black −9.6 (−14.4 to −4.9) <.001 −9.7 (−14.2 to −5.2) <.001
Hispanic −6.4 (−11.8 to −0.9) .02 −2.9 (−7.4 to 1.6) .21
Non-Hispanic Asian −14.7 (−20.0 to −9.3) <.001 −2.0 (−6.7 to 2.7) .41
Non-Hispanic other or multiple 0.4 (−7.2 to 7.9) .93 −0.2 (−6.6 to 6.2) .94
Census region
Northeast 1 [Reference] 1 [Reference]
Midwest 0.5 (−3.4 to 4.3) .82 −0.5 (−4.0 to 3.0) .78
South 0.7 (−2.9 to 4.2) .72 1.2 (−2.0 to 4.3) .47
West −1.1 (−5.0 to 2.8) .58 −3.0 (−6.5 to 0.5) .09
Partner status
Married or partnered 1 [Reference] 1 [Reference]
Not married or partnered 0.4 (−2.4 to 3.2) .78 0.5 (−2.0 to 2.9) .72
Educational level
<High school diploma 1 [Reference] 1 [Reference]
High school diploma or GED certificate 1.0 (−8.1 to 10.1) .83 3.2 (−5.0 to 11.4) .45
Some college 4.9 (−4.1 to 14.0) .28 6.2 (−1.9 to 14.3) .14
Bachelor's degree 5.5 (−3.8 to 14.7) .25 6.2 (−2.1 to 14.5) .14
>Bachelor's degree 7.3 (−2.4 to 16.9) .14 6.9 (−1.8 to 15.6) .12
Health insurance coverage
Uninsured 1 [Reference] 1 [Reference]
Medicare −9.1 (−15.0 to −3.2) .003 −3.6 (−8.7 to 1.5) .17
Medicaid −3.0 (−8.9 to 2.9) .32 −4.4 (−9.6 to 0.7) .09
Both Medicare and Medicaid −9.9 (−18.2 to −1.5) .02 −7.5 (−15.0 to −0.1) .048
Private or employer-based −0.1 (−5.3 to 5.0) .96 1.0 (−3.4 to 5.3) .66
Not sure −6.2 (−14.0 to 1.6) .12 −7.4 (−14.3 to −0.4) .04
Perceived health status
Excellent 1 [Reference] 1 [Reference]
Very good 7.1 (3.1 to 11.2) .001 1.0 (−2.6 to 4.6) .58
Good 8.9 (4.6 to 13.2) <.001 5.0 (1.2 to 8.8) .01
Fair 12.5 (6.8 to 18.2) <.001 −0.3 (−5.4 to 4.9) .92
Poor 16.3 (6.9 to 25.6) .001 −4.0 (−12.9 to 4.9) .38
Employed
Yes 1 [Reference] 1 [Reference]
Retired 0.9 (−3.8 to 5.6) .72 1.4 (−2.8 to 5.6) .51
Unemployed 2.6 (−0.9 to 6.1) .14 2.4 (−0.6 to 5.3) .12
Family income, US $
<30 000 1 [Reference] 1 [Reference]
30 000-49 999 2.7 (−1.2 to 6.5) .18 −1.3 (−4.7 to 2.0) .44
50 000-79 999 3.1 (−0.8 to 7.1) .12 −1.6 (−5.0 to 1.8) .37
80 000-99 999 0.9 (−4.2 to 5.9) .73 1.0 (−3.3 to 5.2) .66
100 000-149 999 2.1 (−2.8 to 7.0) .39 −2.6 (−7.0 to 1.7) .24
150 000-199 999 2.6 (−4.5 to 9.8) .48 0.9 (−5.3 to 7.2) .77
≥200 000 3.9 (−4.3 to 12.1) .35 4.9 (−2.0 to 11.7) .16
Chronic disease, No.
0 1 [Reference] 1 [Reference]
1 0.9 (−2.5 to 4.3) .62 1.4 (−1.6 to 4.3) .36
2 4.0 (−0.4 to 8.5) .08 1.0 (−2.9 to 5.0) .61
>2 6.8 (1.5 to 12.1) .01 1.2 (−3.5 to 6.0) .62
Not sure 0.0 (−6.7 to 6.7) .99 −3.4 (−9.5 to 2.7) .28
Has primary care
Yes 1 [Reference] 1 [Reference]
No −1.8 (−5.5 to 1.9) .35 −2.6 (−5.9 to 0.8) .13
Unsure −4.9 (−12.2 to 2.4) .19 2.8 (−3.0 to 8.7) .34
Visits in past 6 mos
Physician visit 0.1 (−0.5 to 0.7) .82 0.1 (−0.4 to 0.7) .60
ED visit −0.9 (−2.8 to 1.0) .34 −0.5 (−2.1 to 1.1) .53
Hospital admissions in past 6 mos −6.5 (−9.1 to −3.9) <.001 −2.5 (−4.2 to −0.8) .005
Global health care rating in past 6 mos, 0-10 points 0.5 (−0.2 to 1.2) .19 −0.2 (−0.8 to 0.4) .53

Abbreviations: ED, emergency department; GED, general educational development.

a

A marginal effect signifies that between 1 woman and 1 man who were otherwise similar in characteristics, for example, the man’s probability of a correct diagnosis would be 9.4 percentage points lower than the woman’s (the referent). For corresponding adjusted odds ratios, see eTable 5 in the Supplement.

b

Age cutoffs were chosen to protect the identity at the fringes of age and to distinguish between older and younger adults, as they may vary in sophistication in using the internet and will likely vary in frequency of contact with the health system.