SynthesisJournal of medical Internet research2025
Digital Health Literacy in Patients With Common Chronic Diseases: Systematic Review and Meta-Analysis.
Synthesis 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 21 papers, 4 of them syntheses that pooled 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.
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.
Who cites it
21 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Effects of Digital Interventions on Symptom Improvement and Quality of Life in Patients With Overactive Bladder: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Receipt of Medicines Information From the Internet and Other Information Sources Among Adult Medicine Users in Developed Economies, 2010-2025: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Determinants and Health Outcomes of Digital Health Literacy in Patients With Cardiovascular Disease: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Digital management of diabetes global research trends: a bibliometric study.Frontiers in medicine · 2025Pooled it
- Quality of Chronic Care Statistically Mediates the Association Between eHealth Literacy and Self-Management Among Adults with Diabetes in a Shared Care Model.Healthcare (Basel, Switzerland) · 2026Article
- Use of Information and Communication Technologies in Patients With Cancer Receiving Antineoplastic or Supportive Therapy: Comparative Cross-Sectional Survey.Journal of medical Internet research · 2026Article
- Association Between mHealth Literacy and Hypertension-Related KAP Among Older Adults with Hypertension: Chain-Mediating Roles of Health Empowerment and Patient Activation.Healthcare (Basel, Switzerland) · 2026Article
- Experiences of rheumatoid arthritis patients with digital health technologies in self-management: a qualitative study.Rheumatology international · 2026Article
- Nurses' Roles in Supporting Digital Engagement and Self-Management in Adults with Type 2 Diabetes: A Scoping Review.Nursing reports (Pavia, Italy) · 2026Review
- User-Centered Diabetes Self-Management App (DiabAid Nexus) in Sub-Saharan Africa: Development and Usability Study.Journal of medical Internet research · 2026Article
- Factors influencing information overload among breast cancer patients in the information explosion era: a cross-sectional study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Associations of Socioeconomic Status With Cardiorenal Metabolic Multimorbidity: Evidence From the UK Biobank Cohort.JACC. Advances · 2026Article
- Changes in Nurse-Patient Communication Through Health Technologies and Nursing Practices to Recognize and Support Limited Digital Health Literacy: Qualitative Study.JMIR nursing · 2026Article
- Discharge preparedness in chronic heart failure: a dyadic qualitative study of patient and clinician perspectives.Frontiers in cardiovascular medicine · 2026Article
- Article
- Understanding digital health literacy in the arab world: a study of arab adults with diabetes, hypertension, and rheumatoid arthritis residing in Qatar.Frontiers in digital health · 2026Article
- AI-assisted hierarchical primary care and health equity among older adults with chronic diseases: a matched observational mixed-methods study in China.Frontiers in public health · 2026Observational
- Latent profile analysis of eHealth literacy and its sociodemographic correlates: a cross-sectional study.Frontiers in public health · 2026Article
- Perceived digital health information support and self-rated health among Chinese adults: physical activity mediation and chronic health condition moderation.Frontiers in public health · 2026Observational
- Co-Design of a Digital Health Platform for Chronic Disease Management in Rural Settings Using a Person-Centered, Collaborative-Care Model: Protocol for a 3-Phase Mixed Methods Study.JMIR research protocols · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Digital health technology (DHT) plays an increasingly vital role in managing chronic diseases by enabling patients to actively manage their health. These tools have been shown to improve self-management and adherence to medical advice. However, for DHT to be fully effective, patients with chronic conditions must be digitally literate. The eHealth Literacy Scale (eHEALS), an 8‑item tool with scores ranging from 8 to 40, was developed to assess individuals' perceived ability to find, evaluate, and apply digital health information. Assessing patients' digital health literacy (DHL) and understanding the factors influencing it are essential for improving the accessibility and usability of health resources. Objective: This study aimed to assess DHL in patients with diabetes mellitus (DM), hypertension, and rheumatoid arthritis (RA) through a systematic review and meta‑analysis using eHEALS. We sought to determine average DHL scores, examine demographic and socioeconomic factors influencing DHL, and explore its impact on disease management to inform future strategies for enhancing DHL and improving chronic disease outcomes. Methods: Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we conducted a systematic review across 7 databases (PubMed, SCOPUS, Embase, ERIC, CINAHL, Library Literature and Information Science Index, and Google Scholar) from inception to August 14, 2022, with an updated search in October 2024. Eligible studies included adults (≥18 years) with DM, hypertension, or RA who reported DHL data using eHEALS (8-40) and were original research published in English. Exclusion criteria included studies involving participants younger than 18 years, reviews, meta‑analyses, studies not addressing the target diseases, or non‑English publications. Study quality was evaluated using the Newcastle‑Ottawa Scale (NOS). Results: Eight studies involving 2527 participants were included. The pooled mean eHEALS score was 27.03 (95% CI 25.08-28.98), indicating high overall DHL. Stratified by disease, scores were higher for DM (27.79) and hypertension (28.48) but lower for RA (24.74). Quality assessment indicated a high standard of included studies. Factors influencing DHL included age, education, employment, and perception of the internet as a health resource. Due to the limited number of studies, meta‑regression analysis could not be performed. Conclusions: DHL is critical for individuals with chronic conditions, empowering them to make informed decisions and manage their health effectively. However, the scarcity of studies limits comprehensive analysis of DHL determinants. While the internet offers abundant health information, unequal DHL and health skills remain barriers. More inclusive research is needed to fully understand DHL's impact on health outcomes and mitigate disparities, ensuring equitable access to digital health resources and improving disease management.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.