Table 4.
Functional and interactive-critical VL scores from 17 surveys about COVID-19, using COVID-19-VLS or HLVa. In the included studies VL score was calculated uniformly based on tool instructions, as described in the validation studies. Some study populations have been split, as reported in the Results section of the selected publications..
Author, Country | Tool used | N= | Average Functional VL score | SD | Average Intercritical VL score | SD | Paired difference | Average Total VL score | Notes | |
---|---|---|---|---|---|---|---|---|---|---|
1 - Alshehry et al. Saudi Arabia38 | Covid-19-VLS | 1,170 | 2.98 | 0.72 | 2.70 | 0.65 | −0.28 | 2.84 * | - | |
2 - Biasio et al. Italy26 | Covid-19-VLS | 885 | 2.92 | 0.7 | 3.27 | 0.54 | 0.35 | 3.10 * | Interactive-critical vs Functional VL: p < .001 | |
3 - Biasio et al. Italy40 | Covid-19-VLS | 160 | 2.99 | 0.63 | 3.38 | 0.46 | 0.39 | 3.19 * | Inter-critical VL higher in Jan 2021 than Jun 2020 (p = .021) | |
4 -Bulca Acar et al. Turkey41 | Covid-19-VLS | 388 | 3.02 | 0.81 | 2.92 | 0.71 | −0.1 | 2.95 | - | |
5 - Correa-Rodriguez et al. Spain43 | HLVa | 319 | 2.59 | 0.74 | 3.07 | 0.6 | 0.48 | 2.83 * | - | |
6 - Durmus et al. Turkey36 | Covid-19-VLS | 596 | 2.4 | 0.75 | 2.6 | 0.69 | 0.2 | 2.54 | - | |
7 - Engelbrecht et al. South Africa45 8 - Engelbrecht et al. South Africa |
Covid-19-VLS | 4,190 | 2.95 | 0.77 | 3.45 | 0.51 | 0.51 | 3.21 * | Vaccinated persons | Unpublished data, kindly provided by the Author |
6,275 | 2.77 | 0.81 | 3.26 | 0.58 | 0.51 | 3.02 * | Unvaccinated persons | |||
9 - Gendler et al. Israel74 10 - Gendler et al. Israel |
Covid-19-VLS | 366 | 3.27 | 0.61 | 2.86 | 0.66 | −0.41 | 3.07 | Parents intending to vaccinate their children | |
154 | 3.18 | 0.60 | 2.80 | 0.62 | −0.38 | 2.99 | Parents not intending to vaccinate their children | |||
11 - Gusar et al. Croatia47 | Covid-19-VLS | 1,227 | 2.86 | 0.71 | 2.12 | 0.75 | −0.74 | 2.49 * | p < .001 Interactive-critical vs Functional VL | |
12 - Khiari et al. Tunisia48 | Covid-19-VLS | 200 | 3.2 | 1 | 1.7 § | 0.9 | −1.5 § | 2.45 * | § outlierp = .026 and p = .008, Grubb’s test, respectively | |
13 - Kittipimpanon et al. Thailand49 | Covid-19-VLS | 408 | 2.88 | 0.68 | 3.34 | 0.49 | 0.46 | 3.19 | - | |
14 - Maki et al. Japan52 | Covid-19-VLS | 1,519 | 2.65 | 0.73 | 2.96 | 0.62 | 0.31 | 2.81 * | - | |
15 - Maneesriwongul et al. Thailand53 16 - Maneesriwongul et al. Thailand |
Covid-19-VLS | 500 | 2.78 | 0.73 | 3.39 | 0.51 | 0.61 | 3.19 | Participants in Confirmatory Factor Analysis (CFA) | |
502 | 2.87 | 0.69 | 3.32 | 0.53 | 0.45 | 3.17 | Participants in Exploratory Factor Analysis (EFA) | |||
17 - Takahashi et al. Japan57 18 - Takahashi et al. Japan |
Covid-19-VLS | 1,639 | 2.62 | 0.75 | 2.76 | 0.61 | 0.14 | 2.69 * | Pregnant women | |
5,688 | 2.62 | 0.77 | 2.69 | 0.62 | 0.07 | 2.66 * | Mothers of young children | |||
19 - Yadete et al USA58 20 - Yadete et al USA |
HLVa | 1,322 | 3.10 | 0.75 | 3.10° | 0.60 | 0 | 3.1 * | Non-hesitant persons, °=communicative literacy score | |
816 | 2.61 | 0.74 | 2.70° | 0.66 | 0.09 | 2.66 * | Hesitant persons, ° =communicative literacy score | |||
21 - Yilmaz et al. Turkey59 | Covid-19-VLS | 391 | 2.41 | 0.58 | 2.99 | 0.55 | 0.58 | 2.8 | - | |
22 -Yuksekol et al. Turkey35 | Covid-19-VLS | 609 | 2.61 | 0.7 | 2.94 | 0.61 | 0.33 | 2.83 | - | |
Mean | 1333 | 2.83 ^ | 0.25 | 2.92 ^ | 0.42 | 0.09 | 2.88 | ^ p = .1305, Wilcoxon | ||
Median, tertiles |
603 |
2.87, 2.64–2.96 |
- |
2.95, 2.78–3.13 |
- | 0.08 |
2.91, 2.8–3.07 |
-- |
*: Total VL scores were calculated using the functional and interactive critical scores reported in the respective studies.
^: Excluding the outlier, functional mean score was 2.81 ± 0.24, and interactive-critical 2.98 ± 0.33 (p = .0502, paired samples t-test); percentile distribution did not change (N = 7 in the lower tertile for both subscales); the distribution of the functional VL data was normal (Shapiro-Wilk p = .5925), while the distribution of the interactive VL data became normal when the outlying value was excluded (Shapiro-Wilk p = .222).