Evidence map›Paper›PMID 41220560›Full record

ArticleJMA journal2025

Development of Japanese and Indonesian Versions of the electronic-Health Literacy Scale.

Yayoi Shoji, Andi Masyitha Irwan, Ryota Ochiai, Syahrul Syahrul, Eriko Shinohara, Andi Muhammad Fiqri, Shoko Takeuchi, Erfina Erfina, Mariko Iida, Ariyanti Saleh and 3 more

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Article in JMA journal, 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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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Yayoi ShojiPublic Health Unit, Global Cooperation Institute for Sustainable Cities, Yokohama City University, Yokohama, Japan.
Andi Masyitha IrwanDepartment of Nursing, Graduate School of Medicine, Yokohama City University, Yokohama, Japan.
Ryota OchiaiPublic Health Unit, Global Cooperation Institute for Sustainable Cities, Yokohama City University, Yokohama, Japan.
Syahrul SyahrulFaculty of Nursing, Hasanuddin University, Makassar, Indonesia.
Eriko ShinoharaDepartment of Nursing, Graduate School of Medicine, Yokohama City University, Yokohama, Japan.
Andi Muhammad FiqriFaculty of Nursing, Hasanuddin University, Makassar, Indonesia.
Shoko TakeuchiDepartment of Nursing, Graduate School of Medicine, Yokohama City University, Yokohama, Japan.
Erfina ErfinaFaculty of Nursing, Hasanuddin University, Makassar, Indonesia.
Mariko IidaGraduate School of Health Care and Nursing, Juntendo University, Urayasu, Japan.
Ariyanti SalehFaculty of Nursing, Hasanuddin University, Makassar, Indonesia.
Fusae MoriguchiDepartment of Nursing, Graduate School of Medicine, Yokohama City University, Yokohama, Japan.
Sachiyo NakamuraDepartment of Nursing, Graduate School of Medicine, Yokohama City University, Yokohama, Japan.
Yuka KanoyaDepartment of Nursing, Graduate School of Medicine, Yokohama City University, Yokohama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Reportedly, electronic-Health (eHealth) literacy is lower in younger people than in those in their 40s and 50s, despite the Internet being an essential information source for the youth. We developed Japanese and Indonesian versions of the e-Health Literacy Scale (e-HLS). Methods: Conceptual equivalence was verified using the forward-backward translation method. First- to fourth-year nursing students at two universities in Japan and Indonesia were surveyed using a web-based questionnaire, including a 12-item e-HLS. Data analysis involved item analysis, factor analysis, and validation of convergent and discriminant validity, reliability, discriminative validity, and cross-cultural validity. The study was approved by the Indonesian and Japanese ethics boards. Results: Ninety-nine Japanese and 407 Indonesian participants responded to the survey (response rate: Japan 23.9%, Indonesia 89.6%). Neither country showed item distribution skewness, and no ceiling or floor effects were detected. Confirmatory factor analysis supported the same three-factor structure as the original e-HLS. Discriminative validity indicated that fourth-year students had higher overall, functional, and interactive health literacy scores than first- to third-year students. There were no significant differences between the two groups in terms of critical health literacy. Cronbach's alpha coefficients were 0.86 overall and 0.74-0.83 for each of the three domains. Regarding cross-cultural validity, configural invariance and full metric invariance models showed a good fit, but scalar invariance was not supported. Conclusions: From the results, the content validity, construct validity (structural, cross-cultural, convergent, and discriminant validity), and reliability (internal consistency) of the Japanese and Indonesian versions of the e-HLS were confirmed.

Indexed as

e-Health literacyhealth behaviorscale development

Identifiers

PMID41220560
PMCPMC12598211

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