Evidence map›Paper›PMID 41313187›Full record

ArticleJournal of medical Internet research2025

Translation, Cultural Adaptation, and Validation of the Japanese eHealth Literacy Questionnaire Among Users in a Super-Aged Society: Mixed Methods Study.

Yuh Morimoto, Naotake Yanagisawa, Ryuichi Sawa, Marcellus Nealy, Miwa Sekine, Megumi Ikeda, Kei Matsuno, Tetsuya Takahashi, Katsumi Miyauchi, Hiroyuki Daida

Abstract readValidation Study
In one paragraph

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yuh MorimotoDepartment of Radiological Technology, Faculty of Health Science, Juntendo University, 2-1-1 Hongo Bunkyo-ku, Tokyo, 113-8421, Japan, 81 3813 3111.ORCID http://orcid.org/0000-0003-0095-4624
Naotake YanagisawaMedical Technology Innovation Center, Juntendo University, Tokyo, Japan.ORCID http://orcid.org/0009-0002-7298-4750
Ryuichi SawaDepartment of Physical Therapy, Faculty of Health Science, Juntendo University, Tokyo, Japan.ORCID http://orcid.org/0000-0002-4624-767X
Marcellus NealyDivision of General Education, Faculty of Medicine, Juntendo University, Tokyo, Japan.ORCID http://orcid.org/0000-0002-2367-6770
Miwa SekineDepartment of Medical Education, Faculty of Medicine, Juntendo University, Tokyo, Japan.ORCID http://orcid.org/0000-0002-5201-3175
Megumi IkedaFaculty of Health Care and Nursing, Juntendo University, Tokyo, Japan.ORCID http://orcid.org/0000-0003-0231-7178
Kei MatsunoDepartment of Respiratory Medicine, Juntendo Tokyo Koto Geriatric Medical Center, Tokyo, Japan.ORCID http://orcid.org/0009-0007-7536-0763
Tetsuya TakahashiDepartment of Physical Therapy, Faculty of Health Science, Juntendo University, Tokyo, Japan.ORCID http://orcid.org/0000-0001-6068-7623
Katsumi MiyauchiDepartment of Cardiology, Juntendo Tokyo Koto Geriatric Medical Center, Tokyo, Japan.ORCID http://orcid.org/0000-0001-9553-466X
Hiroyuki DaidaDepartment of Radiological Technology, Faculty of Health Science, Juntendo University, 2-1-1 Hongo Bunkyo-ku, Tokyo, 113-8421, Japan, 81 3813 3111.ORCID http://orcid.org/0000-0002-3867-0961

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Japan is likely the world's leading aging society, and when leveraged effectively, digital health services hold great potential for addressing health care system challenges. Appropriate development and facilitation of these services require the evaluation of users' digital health literacy. However, the status of digital health literacy in Japan, especially among older adults, remains unclear, which limits efforts to effectively promote such services. Objective: This study aimed to translate the eHealth Literacy Questionnaire (eHLQ) into Japanese and test the translation's reliability. Additionally, it aimed to examine eHLQ scores among Japan's population, compare them across various backgrounds, and explore considerations for applying digital health systems to support Japan's aging society. Methods: A sequential exploratory mixed methods design was employed. The translation process prioritized achieving conceptual equivalence with the source language. To evaluate the translation's reliability, psychometric assessments by survey were conducted based on classical test theory and item response theory. Comparative statistical analysis was used to examine the impact of demographic factors. Results: A total of 504 individuals aged 18-88 years completed the survey, with 444 responding online and 60 in face-to-face interviews. The Japanese eHLQ showed good internal consistency, with Cronbach α values ≥0.78. The comparative fit index was >0.95, standardized root mean residual was ≤0.04, and standardized expected parameter change was ≤0.23, indicating good to acceptable fit. Item response theory analysis found adequate item location, discrimination, and factor loading. Boundary characteristic curve plotting demonstrated that all items fit well. Participants with more frequent digital health service use and better self-reported health status showed higher eHLQ scores across all 7 scales: (1) Using technology to process health information, (2) Understanding of health concepts and language, (3) Ability to actively engage with digital services, (4) Feel safe and in control, (5) Motivated to engage with digital services, (6) Access to digital services that work, and (7) Digital services that suit individual needs. Conclusions: The Japanese version of the eHLQ is robust and is likely to be a reliable and effective tool for assessing digital health literacy among Japan's population. There were no notable differences between scores of those aged above and below 65 years, or those with and without chronic disease(s). The findings also suggest that current systems may be tailored to frequent digital health users. The Japanese version of the eHLQ is expected to be used to effectively monitor digital health literacy in Japan's aging society.

Indexed as

Health LiteracyTelemedicineAdolescentAdultAgedAged, 80 and overEast Asian PeopleFemaleHumansJapanMaleMiddle AgedPsychometricsReproducibility of ResultsSurveys and QuestionnairesTranslatingaging societydigital health literacyeHealth Literacy Questionnaire (eHLQ)psychometricsvalidation study

Identifiers

PMID41313187
PMCPMC12661597

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.