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. 2023 May 17;14(2):365–373. doi: 10.1055/a-2041-4500

Table 2. Distribution of sociodemographic characteristics by eHeLiOS-SB and eHEALS literacy categories (“good,” “moderate,” “low”).

eHEALS eHeLiOS-SB
Parameter Low EHL ( n  = 21) Moderate EHL ( n  = 41) Good EHL ( n  = 35) p b Low EHL ( n  = 15) Moderate EHL ( n  = 41) Good EHL ( n  = 40) p b
Age, mean (SD) 63 (12) 56 (12) 49 (16) 0.001 63 (10) 59 (12) 47 (15) <0.001
Gender, n (%)
 Female 14 (67) 29 (71) 21 (60) 0.61 11 (73) 25 (61) 27 (67) 0.65
 Male 7 (33) 12 (29) 14 (40) 4 (27) 16 (39) 13 (33)
Race/ethnicity, n (%) a
 Hispanic 5 (24) 7 (17) 9 (26) 0.71 2 (13) 9 (22) 10 (25) 0.89
 Black 11 (52) 28 (68) 20 (57) 11 (74) 24 (58) 24 (60)
 Other 5 (24) 6 (15) 6 (17) 2 (13) 8 (20) 6 (15)
Type of insurance, n (%)
 Medicaid 8 (38) 18 (44) 12 (34) 0.68 8 (53) 14 (34) 16 (40) 0.15
 Medicare 6 (29) 6 (15) 7 (20) 4 (27) 11 (27) 4 (10)
 Private 7 (33) 17 (41) 16 (46) 3 (20) 16 (39) 20 (50)

Abbreviations: eHEALS, eHealth Literacy Scale; eHeLiOS-SB, eHealth Literacy Objective Scale-Scenario Based; EHL, electronic health literacy; SD, standard deviation.

a

Information on race/ethnicity was unavailable for two male and two female participants.

b

A two-tailed t -test was used to compare male versus female age, and a Pearson's chi-square test was used to compare categorical variables between the male and female participants.