Evidence map›Paper›PMID 40106815›Full record

ArticleJournal of medical Internet research2025

Digital Health Literacy Questionnaire for Older Adults: Instrument Development and Validation Study.

Xinxin Wang, Chengrui Zhang, Yue Qi, Ying Xing, Yawen Liu, Jiayi Sun, Wei Luan

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. [Development and psychometric validation of the User Experience Scale for Artificial Intelligence QuestionZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
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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

7 authors.

Xinxin Wang *Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID https://orcid.org/0000-0001-8823-3025
Chengrui Zhang *Shanghai Jiao Tong University School of Nursing, Shanghai, China.ORCID https://orcid.org/0000-0002-0624-2655
Yue Qi *Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, China.ORCID https://orcid.org/0009-0009-8904-3659
Ying XingShanghai Jiao Tong University School of Nursing, Shanghai, China.ORCID https://orcid.org/0009-0007-3024-3627
Yawen LiuShuguang Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID https://orcid.org/0009-0003-4835-3163
Jiayi SunShuguang Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID https://orcid.org/0009-0003-9784-7602
Wei LuanShuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-7439-9005

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe integration of digital technology into older adult health and care has enhanced the intelligence of health and older adult care products and services while also transforming how seniors acquire and share health information. Assessing older adults' digital health literacy (DHL) is crucial for developing targeted interventions.

objectiveThis study aims to develop and validate a DHL assessment questionnaire for older adults. It also seeks to evaluate the questionnaire's scientific validity and feasibility among community-dwelling older adults in China, providing a reliable tool for assessing their level of DHL.

methodsA literature review, focus group discussions, and the Delphi method were used to construct the questionnaire item pool and perform item screening. Item analysis was conducted for comprehensive evaluation, and questionnaire validity was assessed through construct validity (exploratory factor analysis, confirmatory factor analysis, convergent validity, and discriminant validity), content validity, and criterion-related validity. Reliability was analyzed using Cronbach alpha coefficient, split-half reliability, and test-retest reliability.

resultsThe study included 710 participants. Item analysis indicated that the questionnaire had strong discriminant validity. Correlation coefficient analysis showed that the item-total correlation coefficients ranged from 0.497 to 0.920 (P<.01). After multiple exploratory factor analyses, 6 common factors were extracted, with a cumulative variance contribution rate of 73.745%. Confirmatory factor analysis demonstrated a good model fit (χ

conclusionsThis study developed a questionnaire specifically designed to assess DHL in older adults through a scientifically rigorous and systematic process. The questionnaire demonstrates strong psychometric properties and can serve as an empirical tool for health professionals to design personalized intervention policies and enhance health service delivery.

Indexed as

Health LiteracyAgedAged, 80 and overChinaFemaleFocus GroupsHumansMaleMiddle AgedPsychometricsReproducibility of ResultsSurveys and QuestionnairesChinadigital health literacydigital literacyinstrumentsolder adultspsychological measuresquestionnairereliability

Identifiers

PMID40106815
PMCPMC11966078

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.