Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117549
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dc.contributorSchool of Nursingen_US
dc.creatorFeng, Xen_US
dc.creatorHui, Ven_US
dc.creatorJiang, Jen_US
dc.creatorLiu, Men_US
dc.creatorLi, Yen_US
dc.creatorTian, Len_US
dc.date.accessioned2026-02-26T03:46:48Z-
dc.date.available2026-02-26T03:46:48Z-
dc.identifier.issn1439-4456en_US
dc.identifier.urihttp://hdl.handle.net/10397/117549-
dc.language.isoenen_US
dc.publisherJMIR Publications, Inc.en_US
dc.rights© Xinyu Feng, Vivian Hui, Jing Jiang, Mengyuan Liu, Yinglan Li, Lingyun Tian. Originally published in the Journal of Medical Internet Research ( https://www.jmir.org), 14.10.2025. This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research (ISSN 1438-8871), is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.en_US
dc.rightsThe following publication Feng X, Hui V, Jiang J, Liu M, Li Y, Tian L, The Adult Inpatient eHealth Literacy Scale (AIPeHLS): Development and Validation Study. J Med Internet Res 2025;27:e75657 is available at https://doi.org/10.2196/75657.en_US
dc.subjecteHealth literacyen_US
dc.subjectHealth care innovationen_US
dc.subjectInpatientsen_US
dc.subjectScale developmenten_US
dc.subjectValidity and reliabilityen_US
dc.titleThe Adult Inpatient eHealth Literacy Scale (AIPeHLS) : development and validation studyen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume27en_US
dc.identifier.doi10.2196/75657en_US
dcterms.abstractBackground: The rapid evolution of digital health technologies, particularly within the Web 3.0 framework, has underscored eHealth literacy (eHL) as a critical competency for patients engaging with digital health care platforms. Patients in sustained hospital stays, often in vulnerable conditions, face unique challenges in using eHealth tools effectively. However, existing eHL assessment tools are insufficient to address the intricate and dynamic demands of contemporary health care systems, especially for individuals under continuous hospital care.en_US
dcterms.abstractObjective: This study aimed to develop the Adult Inpatient eHealth Literacy Scale (AIPeHLS), a comprehensive, multidimensional tool grounded in the Lily Model, to evaluate eHL among adult inpatients within the context of digital health care innovations.en_US
dcterms.abstractMethods: The development of the AIPeHLS followed a systematic, multiphase process. Initial item pool generation was informed by a literature review and then refined using the Delphi method, resulting in a preliminary set of 53 items spanning 6 dimensions of the Lily Model. The scale was refined through a pilot survey among 100 individuals requiring inpatient care, followed by item analysis and exploratory factor analysis (EFA). Validation was achieved via a cross-sectional study with 532 participants, using confirmatory factor analysis (CFA) to verify the scale structure, alongside evaluations of convergent, discriminant, criterion-related, and content validity. Reliability was assessed using Cronbach α, Omega, and split-half reliability.en_US
dcterms.abstractResults: The finalized AIPeHLS comprised 44 items across 6 dimensions: traditional literacy, information literacy, media literacy, health literacy, computer literacy, and scientific literacy, reflecting the skills necessary in the Web 3.0 context. Both EFA and CFA confirmed the 6-factor structure, demonstrating acceptable model fit indices (χ²=1974.654 (df=887), root mean square error of approximation=0.048, comparative fit index=0.957, normed fit index=0.925, and incremental fit index=0.957). The scale exhibited robust content validity, convergent and discriminant validity, criterion-related validity, and high internal consistency, with a Cronbach α of .965, Omega coefficient of 0.962, and a split-half reliability of 0.791 for the entire scale.en_US
dcterms.abstractConclusions: The 44-item AIPeHLS was found to be a reliable and valid instrument for assessing eHL in adult inpatients in the evolving Web 3.0 context. Its comprehensive framework and strong psychometric properties make it an effective tool for health care providers to understand patients’ digital health competencies and tailor interventions accordingly. For researchers, our findings provided opportunities to explore the relationship between eHL and health outcomes, while offering valuable insights into the development of more effective eHealth interventions and policies.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of medical Internet research, 2025, v. 27, e75657en_US
dcterms.isPartOfJournal of medical Internet researchen_US
dcterms.issued2025-
dc.identifier.scopus2-s2.0-105018616323-
dc.identifier.pmid41086421-
dc.identifier.eissn1438-8871en_US
dc.identifier.artne75657en_US
dc.description.validate202602 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextWe thank all the patients for their participation in the study. This study was supported by grants from the Youth Fund Project of National Natural Science Foundation of China (Grant No. 72304261).en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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