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Cut-off value of the eHEALS score as a measure of eHealth skills among rural residents in Gansu, China
BACKGROUND: In this study, our aim was to quantify eHealth literacy and determine a cut-off value for eHEALS scores that signifies adequate eHealth literacy among rural residents in Gansu, China. METHODS: This cross-sectional investigation encompassed 18 rural areas across three cities—Lanzhou, Wuwe...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552485/ https://www.ncbi.nlm.nih.gov/pubmed/37808241 http://dx.doi.org/10.1177/20552076231205269 |
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author | Zhu, Yang Wang, Xiaohui You, Xinyi Zhao, Hongmei Guo, Yawei Cao, Wangnan Xin, Meiqi Li, Jinghua |
author_facet | Zhu, Yang Wang, Xiaohui You, Xinyi Zhao, Hongmei Guo, Yawei Cao, Wangnan Xin, Meiqi Li, Jinghua |
author_sort | Zhu, Yang |
collection | PubMed |
description | BACKGROUND: In this study, our aim was to quantify eHealth literacy and determine a cut-off value for eHEALS scores that signifies adequate eHealth literacy among rural residents in Gansu, China. METHODS: This cross-sectional investigation encompassed 18 rural areas across three cities—Lanzhou, Wuwei, and Dingxi—in Gansu. A total of 451 residents were recruited and underwent evaluations for both eHealth literacy and eHealth skills, utilizing the eHEALS and self-constructed tasks, respectively. A receiving operator characteristic curve was plotted with eHealth skills as the dependent variable and eHealth literacy levels as the independent variable, aiming to determine a cut-off value for eHEALS indicating adequate eHealth literacy and evaluate its predictive capacity. RESULTS: Among the 451 respondents, 10.9% did not possess a personal electronic device with Internet access, while 6.4% owned but had never used them. Within the remaining 373 residents, the mean eHealth literacy score was 25.85 (SD:10.93), item scores ranged from 3.12 (SD:1.45) to 3.42 (SD:1.60). Completion rates for three eHealth skills varied from 39.1% to 59.8%. The cut-off value was 29.5 determined by the Youden index. The area under the receiver operating curve was 0.829, with a sensitivity of 86.7%, and a specificity of 66.8%. CONCLUSIONS: Our findings emphasized that eHealth literacy among rural residents remains at a low level. Moreover, we identified a cut-off value of 29.5 for eHEALS scores that signifies adequate eHealth literacy within this demographic. |
format | Online Article Text |
id | pubmed-10552485 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-105524852023-10-06 Cut-off value of the eHEALS score as a measure of eHealth skills among rural residents in Gansu, China Zhu, Yang Wang, Xiaohui You, Xinyi Zhao, Hongmei Guo, Yawei Cao, Wangnan Xin, Meiqi Li, Jinghua Digit Health Original Research BACKGROUND: In this study, our aim was to quantify eHealth literacy and determine a cut-off value for eHEALS scores that signifies adequate eHealth literacy among rural residents in Gansu, China. METHODS: This cross-sectional investigation encompassed 18 rural areas across three cities—Lanzhou, Wuwei, and Dingxi—in Gansu. A total of 451 residents were recruited and underwent evaluations for both eHealth literacy and eHealth skills, utilizing the eHEALS and self-constructed tasks, respectively. A receiving operator characteristic curve was plotted with eHealth skills as the dependent variable and eHealth literacy levels as the independent variable, aiming to determine a cut-off value for eHEALS indicating adequate eHealth literacy and evaluate its predictive capacity. RESULTS: Among the 451 respondents, 10.9% did not possess a personal electronic device with Internet access, while 6.4% owned but had never used them. Within the remaining 373 residents, the mean eHealth literacy score was 25.85 (SD:10.93), item scores ranged from 3.12 (SD:1.45) to 3.42 (SD:1.60). Completion rates for three eHealth skills varied from 39.1% to 59.8%. The cut-off value was 29.5 determined by the Youden index. The area under the receiver operating curve was 0.829, with a sensitivity of 86.7%, and a specificity of 66.8%. CONCLUSIONS: Our findings emphasized that eHealth literacy among rural residents remains at a low level. Moreover, we identified a cut-off value of 29.5 for eHEALS scores that signifies adequate eHealth literacy within this demographic. SAGE Publications 2023-10-04 /pmc/articles/PMC10552485/ /pubmed/37808241 http://dx.doi.org/10.1177/20552076231205269 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Zhu, Yang Wang, Xiaohui You, Xinyi Zhao, Hongmei Guo, Yawei Cao, Wangnan Xin, Meiqi Li, Jinghua Cut-off value of the eHEALS score as a measure of eHealth skills among rural residents in Gansu, China |
title | Cut-off value of the eHEALS score as a measure of eHealth skills among rural residents in Gansu, China |
title_full | Cut-off value of the eHEALS score as a measure of eHealth skills among rural residents in Gansu, China |
title_fullStr | Cut-off value of the eHEALS score as a measure of eHealth skills among rural residents in Gansu, China |
title_full_unstemmed | Cut-off value of the eHEALS score as a measure of eHealth skills among rural residents in Gansu, China |
title_short | Cut-off value of the eHEALS score as a measure of eHealth skills among rural residents in Gansu, China |
title_sort | cut-off value of the eheals score as a measure of ehealth skills among rural residents in gansu, china |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552485/ https://www.ncbi.nlm.nih.gov/pubmed/37808241 http://dx.doi.org/10.1177/20552076231205269 |
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