Evidence map›Paper›PMID 40132183›Full record

ArticleJournal of medical Internet research2025

Development and Validation of the Digital Health Literacy Questionnaire for Stroke Survivors: Exploratory Sequential Mixed Methods Study.

Qin Ye, Wei Wang, Xuan Zeng, Yuxian Kuang, Bingbing Geng, Song Zhou, Ning Liu

Abstract readValidation Study
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Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Qin Ye *Department of Basic Teaching and Research in General Medicine, Department of Fundamentals, Department of Nursing of Zunyi Medical University Zhuhai Campus, Zhuhai, China.ORCID https://orcid.org/0009-0002-3378-0288
Wei Wang *Zhuhai People's Hospital, Zhuhai, China.ORCID https://orcid.org/0009-0003-8381-5706
Xuan ZengGuangdong Provincial People's Hospital Zhuhai Hospital(Zhuhai Golden Bay Center Hospital), Zhuhai, China.ORCID https://orcid.org/0009-0002-3063-5800
Yuxian KuangZhuhai People's Hospital, Zhuhai, China.ORCID https://orcid.org/0009-0000-7559-3822
Bingbing GengZhuhai People's Hospital, Zhuhai, China.ORCID https://orcid.org/0009-0003-9555-2210
Song ZhouThe Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China.ORCID https://orcid.org/0009-0006-6175-7869
Ning LiuDepartment of Basic Teaching and Research in General Medicine, Department of Fundamentals, Department of Nursing of Zunyi Medical University Zhuhai Campus, Zhuhai, China.ORCID https://orcid.org/0000-0001-6344-3480

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn China, there is limited research on digital health literacy (DHL) among patients with stroke. This is mainly due to the lack of validated tools, which hinders the precision and sustainability of our country's digital transformation.

objectiveThis study aimed to develop and validate a DHL scale specifically for stroke survivors in China.

methodsWe used a sequential, exploratory, mixed methods approach to develop a DHL questionnaire for stroke survivors. This study comprised 418 patients with stroke aged 18 years and older. To evaluate the questionnaire's psychometric qualities, we randomly assigned individuals to 2 groups (subsample 1: n=118, subsample 2: n=300). Construct validity was evaluated through internal consistency analysis, exploratory and confirmatory factor analyses, hypothesis testing for structural validity, measurement invariance assessments using the eHealth Literacy Scale, and Rasch analyses to determine the questionnaire's validity and reliability.

resultsThis study underwent 4 stages of systematic development. The initial pool of items contained 25 items, 5 of which were eliminated after content validity testing; 19 items were subsequently retained through cognitive interviews. After an interitem correlation analysis, 2 more items were excluded, leaving 17 items for exploratory factor analysis. Finally, 2 items were excluded by Rasch analysis, resulting in a final version of the questionnaire containing 15 items. The total score range of the scale was 15-75, with higher scores indicating greater DHL competence. Results showed that principal component analysis confirmed the theoretical structure of the questionnaire (69.212% explained variance). The factor model fit was good with χ

conclusionsThe DHL Questionnaire for Stroke Survivors is a reliable and valid measure to assess DHL among stroke survivors in China.

Indexed as

Health LiteracyStrokeSurvivorsAdultAgedChinaFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedPsychometricsReproducibility of ResultsSurveys and Questionnairesdigital health literacymixed methods studyreliabilitystroke survivorsvalidation

Identifiers

PMID40132183
PMCPMC12007621

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