Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/42297
Title: Validity and reliability of the Chinese version of digital health readiness questionnaire among hypertension patients in rural areas of China
Authors: XU, Linqi 
Yu, Tianzhuo
Leng, Xin
Yu, Tianyue
SCHERRENBERG, Martijn 
FALTER, Maarten 
Kaihara, Toshiki
KIZILKILIC, Sevda 
VAN ERUM, Hanne 
KINDERMANS, Hanne 
DENDALE, Paul 
Tong, Qian
Li , Feng
Issue Date: 2024
Publisher: SAGE PUBLICATIONS LTD
Source: Digital Health, 10 (1-8)
Abstract: Introduction: Digital health has the potential to support health care in rural areas by overcoming the problems of distance and poor infrastructure, however, rural areas have extremely low use of digital health because of the lack of interaction with technology. There is no existing tool to measure digital health literacy in rural China. This study aims to test and validate the digital health readiness questionnaire for assessing digital readiness among patients in rural China.Methods: Due to the different Internet environments in China compared to Belgium, a cultural adaptation is needed to optimize the use of Digital Health Readiness Questionnaire in China. Then, a prospective single-center survey study was conducted in rural China among patients with hypertension. Confirmatory factor analysis was computed to test the measurement models.Results: A total of 330 full questionnaires were selected and included in the analysis. The model-fit measures were used to assess the model's overall goodness of fit (Chi-square/degrees of freedom = 5.060, comparative fit index = 0.889, Tucker-Lewis index (TLI) = 0.869, root mean square error of approximation (RMSEA) = 0.111, standardized root mean square residual (SRMR) = 0.0880). TLI is a little bit lower than the borderline (more than 0.9) and RMSEA is higher than it (less than 0.08 means good model fit). We deleted two items 2 and 4 and the result shows a better goodness of fit (Chi-square/degrees of freedom = 4.897, comparative fit index = 0.914, TLI = 0.895, RMSEA = 0.109, SRMR = 0.0765)Conclusion: To increase applicability and generalizability in rural areas, it should be considered to use the calculation of only the parts Digital skills, Digital literacy and Digital health literacy which are equally applicable in a Belgian population as in a rural Chinese population.
Notes: Li, F (corresponding author), Jilin Univ, Sch Nursing, 965 Xin Jiang Ave, Changchun 130000, Jilin, Peoples R China.
fli@jlu.edu.cn
Keywords: ‌Digital usability;digital skills;digital literacy;‌Digital health literacy;digital learnability;hypertension
Document URI: http://hdl.handle.net/1942/42297
ISSN: 2055-2076
e-ISSN: 2055-2076
DOI: 10.1177/20552076231216604
ISI #: WOS:001136905700001
Rights: The Author(s) 2024. Creative Commons Non Commercial CC BY-NC: 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).
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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