Working together to understand community health literacy

Figures & data

Table 1. Participant characteristics of subjects completing modified REALM-R

Surveyed characteristics	Selected hospital outpatient centers	Selected county of study
Number of subjects completing modified REALM-R	n = 210	n = 401
Mean age, years	42.7	39
Mean modified REALM-R Score (SD)*	11.5 (3.55)	12.7 (2.82)
Avg. modified REALM-R score- gender (n, %)
Male	11.7 (66, 31%)	12.2 (195, 49%)
Female	11.5 (144, 69%)	13.3 (204, 51%)
Unknown/Did not answer	0	13 (2, 0%)
Avg. modified REALM-R score- race/ethnicity (n, %)
White	13.1 (69, 33%)	13.2 (184, 46%)
African-American/Black	11. (100, 48%)	11.9 (112, 28%)
Hispanic	10.3 (37, 18%)	12.7 (85, 21%)
Asian/Pacific islander	NA (0%)	15 (2, 1%)
Unknown/other	13.3 (4, 1%)	13.9 (18, 4%)
VARK results	Kinesthetic learners	Read/write learners

* Modified REALM-R maximum score of 16. Scores of 12 and below indicates a risk of poor health literacy.

Table 2. Participant characteristics of subjects completing VARK

Surveyed characteristics	Selected hospital outpatient centers	Selected county of study
Number of subjects completing questionnaire	n = 199	n = 354
Gender (n, %)
Male	61 (31%)	171 (48%)
Female	138 (69%)	183 (52%)
Race/ethnicity (n, %)
White	64 (32%)	152 (43%)
African-American/Black	98 (49%)	109 (31%)
Hispanic	33 (17%)	73 (20%)
Asian/Pacific islander	1 (0.05%)	6 (2%)
Unknown	3 (2%)	14 (4%)
Number of individual VARK responses (%, SD)
Visual	356 (15%, 11.88)	1,071 (22%, 22.58)
Auditory	644 (27%, 23.97)	1,238 (26%, 27.12)
Read/write	706 (30%, 21.51)	1,191 (25%, 24.37)
Kinesthetic	638 (27%, 21.54)	1,339 (28%, 29.73)