Differences in digital health literacy and future anxiety between health care and other university students in England during the COVID-19 pandemic
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Background: This study investigates university students’ digital health literacy and web-based information-seeking behaviours during the early stages of the COVID-19 pandemic in England. It compares undergraduate and postgraduate students in non-health related subjects with health care students, many of whom were preparing for, or working in, frontline roles. The survey was conducted as part of a wider study by the COVID-HL research consortium. Methods: A cross-sectional study was conducted among n = 691 university students aged ≥18 years from 25 universities across England using an adapted digital survey developed by COVID-HL. Data were collected regarding sociodemographic characteristics and specific measures drawn from the Future Anxiety Scale and the Digital Health Literacy Instrument (DHLI). These had been adapted for use in an English setting and to the specific context of the COVID-19 pandemic. Other data collected included students’ anxiety or worries about the future using the Dark Future Scale as well as behaviours in online information-seeking. Data were analysed using correlations to test for relationships between constructs and also between group comparisons to test for differences between students studying health and non-health related subjects. Results: Across digital health literacy dimensions, there was no significant difference between students studying health-related subjects and other students. Health care students did report greater difficulties in relation to how to behave online. They also relied less on public body sources for information about the pandemic. A significant difference was found between the two student populations in relation to their anxiety about the future with health care students reporting fewer fears about the future. Conclusions: Although digital health literacy is well developed in university students, a significant proportion of students still face difficulties with evaluating online information which may frustrate public health efforts. This could be addressed by ensuring health students’ curriculum in particular encompasses digital health literacy.
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Participants majoring in health-related fields were excluded because pursuing health-related careers would affect health literacy and health information-seeking behaviors.
“The screening questions were designed to include only undergraduate students and to exclude those majoring in health-related fields, such as medicine, nursing, and social work, given that pursuing health-related careers would affect health literacy and health information-seeking behaviors (Frings et al., 2022; Zhao et al., 2024).”
From Digital health literacy and trust in health information sources: A comparative study of university students in Japan, the United States, and India (2025) · cites this paper as Frings et al., 2022
The Discussion reports that health students differed from non-health students in where they sought health information. But the study found no higher digital health literacy among health students; it describes higher health literacy as an expectation or a finding from other studies, not an effect established by its own results. The decision to exclude health-related majors belongs to the citing study, not Frings et al. (LLM, conf=0.85)
Experimental — accuracy not yet measuredPrevious studies during the COVID-19 pandemic reported that a significant proportion of university students faced difficulties with assessing the reliability of online health-related information.
“However, previous studies during the COVID-19 pandemic reported that a significant proportion of university students faced difficulties with assessing the reliability of online health-related information (Dadaczynski et al., 2021; Frings et al., 2022).”
From Digital health literacy and trust in health information sources: A comparative study of university students in Japan, the United States, and India (2025) · cites this paper as Frings et al., 2022
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Cites
eHEALS: The eHealth Literacy Scale
Norman, C. D., & Skinner, H. A. (2006) · Journal of Medical Internet Research · doi:10.2196/jmir.8.4.e27 · Cited by 2,680 · see citing works
Zarocostas, J. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30461-x · Cited by 2,344 · see citing works
Barriers and facilitators to the implementation of eHealth services: systematic literature analysis
Schreiweis, B., Pobiruchin, M., Strotbaum, V., Suleder, J., Wiesner, M., & Bergh, B. (2019) · Journal of Medical Internet Research · doi:10.2196/14197 · Cited by 354 · see citing works
Patil, U., Kostareva, U., Hadley, M., Manganello, J. A., Okan, O., Dadaczynski, K., Massey, P. M., Agner, J., & Sentell, T. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18063301 · Cited by 245 · see citing works
Self-citationPerceptions of Digital Health Education Among European Medical Students: Mixed Methods Survey
Machleid, F., Kaczmarczyk, R., Johann, D., Balčiūnas, J., Atienza-Carbonell, B., von Maltzahn, F., & Mosch, L. (2020) · Journal of Medical Internet Research · doi:10.2196/19827 · Cited by 190 · see citing works
Duplaga, M., & Grysztar, M. (2021) · Healthcare · doi:10.3390/healthcare9010043 · Cited by 106 · cited 1× · see citing works
“situations [24, 25], emerging literature from the pandemic context is consistent showing that those who are less pessimistic and reporting less fear about the future feel more psychologically prepared in pandemic management [26, 27].”
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Research works printed but not linked: 38
- [3]Sørensen K Van Den Broucke S Fullam J Doyle G Pelikan J Slonska Z Health literacy and public health: a systematic review and integration of definitions and models BMC Public Health 2012 12 1 80 22276600 PMC3292515
- [4]Hua J, Rajib S. Corona virus (COVID-19) “Infodemic” and emerging issues through a data lens: the case of China. Int J Environ Res Public Health. 2020;17 Available from: 10.1016/j.ijid.2020.04.033%0Ahttp://www.ncbi.nlm.nih.gov/pubmed/32460566. PMC7177854 32235433 · DOI · Paper page
- [5]Norman CD Skinner HA Norman CD Street E eHealth Literacy: essential skills for consumer health in a networked world J Med Internet Res 2006 8 1 10 PMC1550701 16867972
- [6]van der Vaart R Drossaert C Development of the digital health literacy instrument: measuring a broad Spectrum of health 1.0 and health 2.0 skills J Med Internet Res 2017 19 1 e27 28119275 PMC5358017
- [7]Estacio EV, Whittle R, Protheroe J. The digital divide: examining socio-demographic factors associated with health literacy, access and use of internet to seek health information. J Health Psychol. 2017:135910531769542 [cited 2019 Jan 10]. Available from: http://journals.sagepub.com/doi/10.1177/1359105317695429. 28810415 · DOI
- [8]Rowlands G Protheroe J Winkley J Richardson M Seed PT Rudd R A mismatch between population health literacy and the complexity of health information: an observational study Br J Gen Pract 2015 65 635 e379 e386 26009533 PMC4439828
- [10]Marmot M, Allen J, Goldblatt P, Herd E, Morrison J. Build Back fairer: the Covid-19 Marmot review. Heal Found. 2020; Available from: https://www.health.org.uk/publications/build-back-fairer-the-covid-19-marmot-review.
- [13]Stellefson M Hanik B Chaney B Chaney D Tennant B Chavarria EA eHealth literacy among college students: a systematic review with implications for eHealth education J Med Internet Res 2011 13 4 22155629 PMC3278088 22155629
- [14]Dadaczynski K Okan O Messer M Leung AYM Rosário R Darlington E Digital health literacy and web-based information-seeking behaviors of university students in Germany during the COVID-19 pandemic: cross-sectional survey study J Med Internet Res 2021 23 1 e24097 33395396 PMC7813561
- [15]Rosário R Martins MRO Augusto C Silva MJ Martins S Duarte A Associations between covid-19-related digital health literacy and online information-seeking behavior among portuguese university students Int J Environ Res Public Health 2020 17 23 8987 PMC7730120 33276647
- [16]Holt KA Overgaard D Engel LV Kayser L Health literacy, digital literacy and eHealth literacy in Danish nursing students at entry and graduate level: a cross sectional study BMC Nurs 2020 19 1 22 32308559 PMC7149891
- [17]Machleid F, Kaczmarczyk R, Johann D, Balčiūnas J, Atienza-Carbonell B, Von Maltzahn F, et al. Digital Health in Medical Education: Findings from a Mixed-Methods Survey among European Medical Students. 2020; 10.2196/preprints.19827. PMC7455864 32667899 · DOI
- [20]Turan N Güven Özdemir N Çulha Y Özdemir Aydın G Kaya H Aştı T The effect of undergraduate nursing students’ e-health literacy on healthy lifestyle behaviour Glob Health Promot 2021 28 3 6 13 33023383
- [21]Kelly M, Wills J, Sykes S. Do nurses’ personal health behaviours impact on their health promotion practice? A systematic review. Int J Nurs Stud. 2017;76:62–77. 28938104
- [22]Van der Vaart R Drossaert C Development of the digital health literacy Instrument: measuring a broad Spectrum of health 2017 12 PMC5358017 28119275
- [23]Nguyen HT Do BN Pham KM Kim GB Dam HTB Nguyen TT Fear of COVID-19 scale—associations of its scores with health literacy and health-related behaviors among medical students Int J Environ Res Public Health 2020 17 11 4164 PMC7311979 32545240
- [24]Boldor N Bar-Dayan Y Rosenbloom T Shemer J Bar-Dayan Y Optimism of health care workers during a disaster: a review of the literature Emerg Health Threats J 2012 5 1 7270 PMC3267412 22461847
- [25]Luthans KW Lebsack SA Lebsack RR Positivity in healthcare: relation of optimism to performance J Health Organ Manag 2008 22 2 178 188 18700527
- [26]Gandhi S, Sahu M, Radhakrishnan G, Nattala P, Sudhir P, Balachandran R. Psychological preparedness for pandemic (COVID-19) management: perceptions of nurses and nursing studetns in India. PLoS ONE. 2021:16(8):e0255772. PMC8362956 34388177
- [28]Dadaczynski K Okan O Messer M Leung AYM Rosário R Darlington E Digital health literacy and online information seeking in times of COVID-19. A cross-sectional survey among university students in Germany J Med Internet Res 2021 23 e24097 33395396 PMC7813561
- [29]Adler NE Epel ES Castellazzo G Ickovics JR Relationship of subjective and objective social status with psychological and physiological functioning: preliminary data in healthy Health Psychol 2000 19 6 586 592 11129362
- [33]Sainani KL Dealing with non-normal data PM&R. 2012 4 12 1001 1005 23245662
- [36]Kayser L Kushniruk A Osborne RH Norgaard O Turner P Enhancing the effectiveness of consumer-focused health information technology systems through eHealth literacy: a framework for understanding users’ needs JMIR Hum Factors 2015 20 1 e9 PMC4797661 27025228
- [37]Furstrand D, Kayser L. Development of the eHealth literacy assessment toolkit, eHLA. Stud Health Technol Infom. 2015;216:971. 26262273
- [39]Elsborg L Krossdal F Kayser L Health literacy among Danish university students enrolled in health-related study programmes Scand J Public Health 2017 45 8 831 338 29052485
- [40]Tubaishat A Habiballah L eHealth literacy among undergraduate nursing students Nurse Educ Today 2016 42 47 52 27237352
- [41]Park H Lee E Self-reported eHealth literacy among undergraduate nursing students in South Korea: a pilot study Nurse Educ Today 2015 35 2 408 413 10.1016/j.nedt.2014.10.022 25466791 · DOI
- [42]Rathnayake S Senevirathna A Self-reported eHealth literacy skills among nursing students in Sri Lanka: a cross-sectional study Nurse Educ Today 2019 78 50 56 10.1016/j.nedt.2019.04.006 31082746 · DOI
- [45]Balmer D King A Moloney W Moselen E Dixon R Nursing students and health literacy: the effect of region and programme level Nurse Educ Pract 2020 42 102688 31841810
- [46]Adil A Usman A Khan NM Mirza FI Adolescent health literacy: factors effecting usage and expertise of digital health literacy among universities students in Pakistan BMC Public Health 2021 21 1 107 33422042 PMC7796525
- [47]Levin-Zamir D Bertschi I Media health literacy, Ehealth literacy, and the role of the social environment in context Int J Environ Res Public Health 2018 15 8 1643 PMC6121358 30081465
- [48]Abel T Hofmann K Ackermann S Bucher S Sakarya S Health literacy among young adults: a short survey tool for public health and health promotion research Health Promot Int 2015 30 3 725 735 24482542
- [49]Abel T McQueen D Critical health literacy in pandemics: the special case of COVID-19 Health Promot Int 2021 36 5 1473 1481 33351138 PMC7799085
- [50]Brørs G Norman CD Norekvål TM Accelerated importance of eHealth literacy in the COVID-19 outbreak and beyond Eur J Cardiovasc Nurs 2020 19 6 458 461 32667217 PMC7480020
- [51]Jimenez G Spinazze P Matchar D Koh Choon Huat G van der Kleij RMJJ Chavannes NH Digital health competencies for primary healthcare professionals: a scoping review Int J Med Inform 2020 143 104260 10.1016/j.ijmedinf.2020.104260 32919345 · DOI
- [53]Ramage C Moorley C A narrative synthesis on healthcare students use and understanding of social media: implications for practice Nurse Educ Today 2019 77 40 52 30954855
- [57]Zakar R Iqbal S Zakar MZ Fischer F COVID-19 and health information seeking behavior: digital health literacy survey amongst university students in Pakistan Int J Environ Res Public Health 2021 18 8 2021 33920404 PMC8069684
- [58]Mohammed S Peter E Killackey T Maciver J The ‘nurse as hero’ discourse in the COVID-19 pandemic: a poststructural discourse analysis Int J Nurs Stud 2021 117 103887 33556905 PMC9749900
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Digital literacy as a new determinant of health: A scoping review
Arias López, M. D. P., Ong, B. A., Borrat Frigola, X., Fernández, A. L., Hicklent, R. S., Obeles, A. J. T., Rocimo, A. M., & Celi, L. A. (2023) · PLOS Digital Health · doi:10.1371/journal.pdig.0000279 · Cited by 422 · see citing works
Ishikawa, H., Miyawaki, R., Kato, M., Muilenburg, J. L., Tomar, Y. A., & Kawamura, Y. (2025) · SSM - Population Health · doi:10.1016/j.ssmph.2025.101844 · Cited by 17 · see citing works
- Authors
- Frings, D., Sykes, S., Ojo, A., Rowlands, G., Trasolini, A., Dadaczynski, K., Okan, O., & Wills, J.
- Affiliations
- London South Bank University (GB)
- Newcastle University (GB)
- Fulda University of Applied Sciences (DE)
- Technical University of Munich (DE)
- Corresponding author
- Frings, Daniel
- Venue
- BMC Public Health
- Published
- 2022-04-05
- Volume
- 22
- Issue
- 1
- Pages
- 658-658
- ISSN
- 1471-2458 (ISSN-L)
- PMC
- PMC8982905
- OpenAlex
- W4223609030
- Cited by
- 49
- References
- 6
- Citations by year
- 2026: 7 · 2025: 18 · 2024: 7 · 2023: 11 · 2022: 6
- FWCI
- 11.00
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- BMC Public Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Open (London South Bank University) (acceptedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
- mediaTUM (Technical University of Munich) (submittedVersion, other-oa)
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Social Sciences › Communication › Communication and COVID-19 Impact
- Social Sciences › Education › E-Learning and COVID-19
- Keywords
- digital health literacy, COVID-19 pandemic, university students, health professions students, future anxiety, online information seeking, health information sources, health education curriculum, undergraduate and graduate students
- MeSH terms
- COVID-19, Adolescent, Adult, Anxiety, Cross-Sectional Studies, Delivery of Health Care, Humans, Surveys and Questionnaires, Students, Universities, Reproducibility of Results, Health Literacy, Pandemics
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