Table 1. Demographic
characteristics of participants (n=87)
variable
|
mean
(SD)
|
n (%)
|
gender
|
|
|
male
|
|
47 (54%)
|
female
|
|
40 (46%)
|
age
|
57.37
(15.13)
|
|
years of formal education
|
|
|
1-6
|
|
20
(22%)
|
7-12
|
|
12 (14%)
|
13-16
|
|
30 (35%)
|
≥17
|
|
3 (3%)
|
occupation
|
|
|
retired
|
|
37 (43%)
|
unemployed
|
|
32 (37%)
|
labor
|
|
15 (17%)
|
manager
|
|
3 (3%)
|
urbanization level of residence
|
|
|
moderate to
highly urbanized cities
|
|
64 (74%)
|
developing
cities
|
|
12 (14%)
|
rural areas
|
|
7 (8%)
|
sources of patients
|
|
|
outpatients
|
|
77 (88%)
|
inpatients
|
|
10 (12%)
|
months after stroke
|
21.30
(25.84)
|
|
affected side
|
|
|
left
|
|
54 (62%)
|
right
|
|
29 (33%)
|
others
|
|
4 (5%)
|
health status
|
|
|
modified
Rankin Scale
|
2.49 (1.06)
|
|
Self-Rated
Health Status
|
61.96
(17.04)
|
|
Public Stroke Knowledge Quiz
|
13.33
(3.11)
|
|
s-MHLS
|
8.06 (2.84)
|
|
The mean s-MHLS
score was 8.06 in the study sample (range, 0 to 11), which was relatively lower
than the mean s-MHLS score of healthy adults (i.e., 9.01) in previous survey (Lee,
Tsai, Tsai, & Kuo, 2012). Figure 1 shows that the distributions of the s-MHLS
scores had significant skewness (i.e., -0.78). We found that more than 25%
patients got the highest score of the s-MHLS, which demonstrated that the
s-MHLS had a notable ceiling effect.
Figure 1. Histogram with normal curve superimposed over the distribution of total scores of the short-form Mandarin Health Literacy Scale (s-MHLS).
The s-MHLS displayed
high internal consistency, α=0.82. The s-MHLS score was highly correlated with
the Public stroke knowledge quiz score (r=0.62,
p<0.001), indicating high convergent
validity. However, the correlation between the s-MHLS score and the self-rated health
status was not significant (r=0.11, p=0.13). In terms of the discriminative validity
(Table 2), the s-MHLS scores exhibited significant differences between two age groups
(i.e., middle-aged and elder patients) (p<0.001).
The s-MHLS scores also showed significant between two educational levels (i.e.,
below junior high and above senior high) (p=0.001).
It's worth noting that there was no significant difference between male and
female in terms of the s-MHLS mean score.
Table 2. Results of discriminative
validity
criterion
|
mean
(SD)
|
t
|
p
|
gender
|
|
|
|
Male (n=47)
|
8.23 (2.77)
|
0.63
|
0.53
|
Female (n=40)
|
7.85 (2.94)
|
|
|
age (years)
|
|
|
|
≤ 59 (n=45)
|
9.18
(1.97)
|
4.16
|
<0.001‡
|
≥ 60 (n=42)
|
6.86
(3.14)
|
|
|
years of formal education
|
|
|
|
≤ 9 (n=31)
|
6.84
(2.90)
|
3.55
|
0.001
|
≥ 10 (n=53)
|
8.94 (2.45)
|
|
|
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