Evidence map›Paper›PMID 40982760›Full record

ArticleJournal of medical Internet research2025

Digital Health Literacy in the General Population: National Cross-Sectional Survey Study.

Junghee Yoon, Seongwoo Yang, Soo Jin Kang, Mangyeong Lee, Dokyoon Kim, Joungwon Park, Su Jin Kim, Jiyoon Han, Jungin Joo, Juhee Cho

Abstract read
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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

10 authors.

Junghee Yoon *Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, 115 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea, 82 2-3410-1448, 82 2-3410-6639.ORCID http://orcid.org/0000-0003-1228-7435
Seongwoo Yang *Center for Clinical Epidemiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-9666-0550
Soo Jin KangDepartment of Nursing, Daegu University, Daegu, Republic of Korea.ORCID http://orcid.org/0000-0002-2342-6309
Mangyeong LeeDepartment of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, 115 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea, 82 2-3410-1448, 82 2-3410-6639.ORCID http://orcid.org/0000-0002-6266-5978
Dokyoon KimDepartment of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0009-4239-9308
Joungwon ParkDepartment of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, 115 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea, 82 2-3410-1448, 82 2-3410-6639.ORCID http://orcid.org/0000-0002-3226-2158
Su Jin KimCenter for Clinical Epidemiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-1189-5896
Jiyoon HanCenter for Clinical Epidemiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0001-1498-0084
Jungin JooCenter for Clinical Epidemiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0006-9320-031X
Juhee ChoDepartment of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, 115 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea, 82 2-3410-1448, 82 2-3410-6639.ORCID http://orcid.org/0000-0001-9081-0266

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As the rapid advancement of digital health technologies has significantly improved health management, digital health literacy (DHL) has emerged as a crucial determinant of health outcomes. Objective: The aim of this study was to assess DHL among Korean adults using a task-based assessment tool and to examine how sociodemographic and health literacy factors are associated with DHL, with the goal of identifying vulnerable groups and informing equitable digital health strategies. Methods: This cross-sectional survey was conducted from July 20 to July 31, 2022, among adults aged 19 years and older in South Korea. Participants were recruited nationally, with those younger than 55 years completing an online survey and those aged 55 years and older participating in face-to-face interviews to address the digital divide. Participants' DHL was assessed using the 34-item Digital Health Technology Literacy Assessment Questionnaire, a tool designed to evaluate practical task-based competencies. Results: Among 1041 Korean adults, 27.8% (n=289) demonstrated low DHL, with the largest gaps observed in mobile app use and critical evaluation of health information. The mean DHL score (on a 100-point scale) was 73.8 (SD 29.7). The high and low DHL groups scored 90.3 (SD 35.6) and 31.5 (SD 20.0), respectively. Specifically, only 49 (17%) of the low DHL group were able to sign up for an app, compared with 716 (95.2%) in the high DHL group. Similarly, 52 (18%) of the low DHL group could update an app, whereas 712 (94.7%) could in the high DHL group. Multivariate analysis revealed that older age (≥60 years), lower income (≤US $2000/month), unemployment, and inadequate general health literacy were significantly associated with lower DHL, highlighting the need to target modifiable factors beyond age. Conclusions: This study highlights the ongoing digital health disparities, emphasizing the need for tailored strategies in mobile apps and digital health technologies. Addressing modifiable factors such as health literacy is key to ensuring equitable access and the effective use of digital health resources.

Indexed as

Digital HealthHealth LiteracyPatient Acceptance of Health CareAdultCross-Sectional StudiesFemaleHealthcare DisparitiesHealth Services AccessibilityHumansInterviews as TopicMaleMiddle AgedMobile ApplicationsRepublic of KoreaSocial Determinants of HealthSocioeconomic Factorscross-sectionalcross-sectional surveyDHLdigital dividedigital healthdigital health literacydigital health technologydigital inclusionface-to-face interviewgeneral populationhealth literacyKoreanational surveyolder adultonline surveysurveys and questionnairesyoung adult

Identifiers

PMID40982760
PMCPMC12453288

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.