Evidence map›Paper›PMID 41765911›Full record

ArticleBMC medical education2026

Digital health literacy in medical education: a scoping review of current challenges and development strategies.

Guanli Xie, Jianglong Liao, Xiaoxia Tang, Yanfang Yang, Fu Han, Duo Liu, Deng Li, Yaju Jin, Tao Wang

Abstract readScoping Review
In one paragraph

Article in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Guanli Xie *Yunnan University of Chinese Medicine, Kunming, Yunnan, China.
Jianglong Liao *Kunming Municipal Hospital of Traditional Chinese Medicine, Kunming, Yunnan, China.
Xiaoxia TangKunming Municipal Hospital of Traditional Chinese Medicine, Kunming, Yunnan, China.
Yanfang YangYunnan University of Chinese Medicine, Kunming, Yunnan, China.
Fu HanKunming Municipal Hospital of Traditional Chinese Medicine, Kunming, Yunnan, China.
Duo LiuKunming Municipal Hospital of Traditional Chinese Medicine, Kunming, Yunnan, China.
Deng LiKunming Municipal Hospital of Traditional Chinese Medicine, Kunming, Yunnan, China.
Yaju JinYunnan University of Chinese Medicine, Kunming, Yunnan, China. jinyaju@ynzyydx.wecom.work.
Tao WangKunming Municipal Hospital of Traditional Chinese Medicine, Kunming, Yunnan, China. Taowang0871@126.com.

Funding

the Undergraduate Education and Teaching Reform Project JGX202511the Yunnan Province High-level Chinese medicine talents project 2024the Yunnan Xingdian Talent Program - Specialized Medical Doctors Category XDYC-YLWS-2024-0018the Yunnan Xingdian Talent Program - Youth Special Section XDYC-QNRC-2024-523Yunnan Provincial Acupuncture and Tuina, Doctoral Supervisor Team for Cerebrovascular Disease with Prevention and Treatment 10170101868
6 · The paper itself

Abstract

objectiveThe purpose of this research is to answer the following questions: (1) Identify the key components of digital health literacy (DHL) in medical education. (2) Assess the current state and challenges of DHL in this field. (3) Explore ways to improve DHL among medical education participants.

methodsThis research adheres to the Arksey and O’Malley framework and PRISMA-ScR guidelines of the EQUATOR network. A thorough search was conducted across Medline, Embase, CINAHL, Education Research Complete, Teacher Reference Center, and ERIC, covering studies from January 1, 2015, to June 12, 2025. Two authors independently screened and selected eligible studies based on the PCC (Population/Participants, Concepts, and Contexts) framework. A coding framework was developed, and the included literature was coded. Based on these codes, qualitative analysis was conducted to synthesize the findings according to the three key research questions. During the processes of literature retrieval, screening, and data extraction, all tasks were independently carried out by two authors. In cases where discrepancies emerged, the final decisions were made through discussions involving a third author.

resultsA total of 123 articles were included in the study. The findings indicated that major challenges in digital literacy within medical education include the lack of standardized frameworks, varying literacy levels, core competency gaps, and a disconnect between attitudes and behaviors. Other issues are low motivation for practical use, uneven scenario coverage, and regional and specialty disparities. Barriers to improvement include resource limitations, environmental adaptation, equity issues, cognitive and acceptance challenges, curriculum problems, and inadequate teacher skills. While some intervention strategies show initial promise, their generalizability is limited due to mostly small-scale, short-term studies lacking comprehensive, long-term research. To address these limitations, we have proposed recommendations for enhancing digital literacy from multiple perspectives, grounded in a thorough review of the literature.

conclusionThis study reviewed a decade of literature on digital literacy in medical education, focusing on framework and definition, research status, challenges, and solutions. It provides guidance for future research and provides practical strategies for medical education institutions to enhance digital literacy training, optimize programs, and address developmental gaps, thereby supporting the digital transformation of medical education and the cultivation of interdisciplinary talent.

Indexed as

Education, MedicalHealth LiteracyDigital HealthDigital MediaHumansDigital healthcare capabilityDigital health literacyMedical education

Identifiers

PMID41765911
PMCPMC13059213

What Socratic 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 Socratic graph.