Digital Health Literacy and the Risk of Following Misinformation About Common Diseases Among University Students: A Narrative Review

Main Article Content

Muaaz Abbasi
Asif nawaz
Mohsin Shabbir
Ramal Farooq

Abstract

Background. University students rely heavily on the internet and social media for health information. At the same time, health misinformation about vaccines, infectious diseases and everyday conditions circulates widely online. Digital health literacy (DHL) is widely proposed as a protective skill, but the evidence linking DHL to resistance against misinformation in students has not been brought together.


Objective. To synthesise evidence on (1) the concept and measurement of DHL, (2) the scale and consequences of health misinformation, (3) the level of DHL and the misinformation-related behaviour of university students, with attention to Pakistan, and (4) interventions that may reduce students’ vulnerability.


Methods. A narrative review based on targeted searches of open-access biomedical, public health and communication sources, supplemented by reference tracing. Systematic reviews, cross-sectional studies, intervention studies and landmark conceptual papers were included. The review is not a systematic review, and no meta-analysis was attempted.


Results. Three consistent themes emerge. First, students generally report moderate to high confidence in finding health information online, but confidence in judging its quality and usefulness is lower, and most DHL research relies on self-report rather than performance tests. Second, health misinformation is common, its measured proportion on social media varies widely across studies, and its documented harms include vaccine hesitancy and delayed care; a 2019 polio vaccine rumour in Pakistan illustrates how quickly harm can follow. Third, students in several countries report meeting and passing on misinformation, and students in health fields are not immune. Educational interventions, especially those building evaluation skills and those using inoculation approaches, are promising, but the evidence base for health outcomes is thin. Direct evidence on misinformation about specific common diseases such as diabetes, hypertension, dengue or hepatitis among students is scarce.


Conclusions. Self-rated DHL should not be treated as proof that students can resist misinformation. Universities should teach and assess appraisal skills for all disciplines, and future studies should pair self-report scales with performance-based tests and disease-specific misinformation measures.

Article Details

Section

Review Articles

How to Cite

Digital Health Literacy and the Risk of Following Misinformation About Common Diseases Among University Students: A Narrative Review. (2026). Journal of Public Health and Family Medicine , 1(1). https://doi.org/10.68399/8w2f9w58

References

1. Norman CD, Skinner HA. eHealth literacy: essential skills for consumer health in a networked world. J Med Internet Res. 2006;8(2):e9. https://www.jmir.org/2006/2/e9/

2. Norman C. eHealth literacy 2.0: problems and opportunities with an evolving concept. J Med Internet Res. 2011;13(4):e125. https://jmir.org/2011/4/e125/PDF

3. eHealth Literacy 3.0: updating the Norman and Skinner 2006 model. J Med Internet Res. 2025;27:e70112. https://jmir.org/2025/1/e70112

4. Borges do Nascimento IJ, et al. Infodemics and health misinformation: a systematic review of reviews. Bull World Health Organ. 2022;100(9):544-561. https://doi.org/10.2471/BLT.21.287654

5. Álvarez-Gálvez J, Carretero-Bravo J, Lagares-Franco C, Ramos-Fiol B, Ortega-Martín E. Development of a conceptual framework of health misinformation during the COVID-19 pandemic: systematic review of reviews. JMIR Public Health Surveill. 2025;11:e62693. http://hdl.handle.net/10498/39552

6. Defining misinformation and related terms in health-related literature: scoping review. J Med Internet Res. 2023;e45731. https://www.jmir.org/2023/1/e45731/PDF

7. Infodemic management in acute public health events: systematic review of the COVID-19 response. Front Public Health. 2024. https://doi.org/10.3389/fpubh.2024.1343902

8. Stellefson M, et al. eHealth literacy among college students: a systematic review with implications for eHealth education. J Med Internet Res. 2011;13(4). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3278088/

9. Tariq A, Khan SR, Basharat A. Internet use, eHealth literacy, and dietary supplement use among young adults in Pakistan: cross-sectional study. J Med Internet Res. 2020;22(6):e17014. https://pmc.ncbi.nlm.nih.gov/articles/PMC7315369

10. Naeem SB, Faiola A, Ur-Rehman A, Kamel Boulos MN. Electronic health (eHealth) literacy and self-care behaviors: results from a survey of university students in a developing country. Information. 2024;15(10):636. https://doi.org/10.3390/info15100636

11. A web tool to help counter the spread of misinformation and fake news: pre-post study among medical students to increase digital health literacy. JMIR Med Educ. 2023. https://mededu.jmir.org/2023/1/e38377/PDF

12. Can a validated website help improve university students’ e-health literacy? Annali di Igiene. https://mail.mattioli1885journals.com/index.php/annali-igiene/article/download/17611/12675/137498

13. Relationship between levels of digital health literacy based on the Taiwan Digital Health Literacy Assessment and accurate assessment of online health information. J Med Internet Res. 2020;e19767. https://jmir.org/2020/12/e19767/PDF

14. The impact of e-health literacy on risk perception among university students. Healthcare. 2025;13(3):265. https://doi.org/10.3390/healthcare13030265

15. Digital health literacy for bachelor program students at Universitas Indonesia, year 2022. Kemas. https://journal.unnes.ac.id/nju/kemas/article/view/47638

16. Virtual disparities and educational divide as determinants of online health literacy: a cross-sectional study of university students in Lahore. https://independent.academia.edu/AdnanAdil

17. Klevor R, Chraa M, Ait Taleb K, Taouzer H, Camara FI, Kissani N. Assessing the COVID-19 infodemic and misinformation among university students in Morocco. Observatorio (OBS).* 2022. https://doi.org/10.15847/obsOBS16320222050

18. Factors affecting undergraduate students’ information sharing behaviour when dealing with COVID-19 misinformation: the theory of reasoned action. Information Research. 27 (special issue; ISIC 2022). https://informationr.net/ir/27-SpIssue/isic22/isic2221.html

19. Measuring the prevalence of health information beliefs about COVID-19 in the post-pandemic era (500 pharmacy students, Tabriz University of Medical Sciences). University of Tehran Press. https://jlib.ut.ac.ir/article_107381_bfeb1db35ee1c0e51006809b79027550.pdf

20. Ittefaq M, Kamboh SA, Zelaya CM, Arif R. Polio vaccine misinformation on social media: challenges, efforts, and recommendations. JCOM J Sci Commun. 2024;23(1). https://jcom.sissa.it/article/1311/galley/2845/download

21. First Draft. Case study: understanding the impact of polio vaccine disinformation in Pakistan. https://firstdraftnews.org/?p=9832

22. McGill University doctoral thesis on eHealth literacy measurement and inoculation messages (scoping review of performance-based measures). https://escholarship.mcgill.ca/downloads/3b591f80b

23. An integrative systematic review on interventions to improve layperson’s ability to identify trustworthy digital health information. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11508166/

24. Efficacy of health literacy interventions aimed to improve health gains of higher education students: a systematic review. BMC Public Health. 2024. https://doi.org/10.1186/s12889-024-18358-4

25. Etesse M, Vásquez-Cubas D, Ballesteros-Aguayo L. Educational interventions to mitigate misinformation among university students: a scoping review. https://revistas.upc.edu.pe/index.php/docencia/article/download/2159/2017