Digital Health Literacy and Its Impact on Digital Health Resource Utilisation and Preventive Health Behaviour: Evidence from Bamenda, Cameroon
Authors
Department of Health Economics Faculty of Business and management Sciences, Catholic University of Cameroon, Bamenda (Cameroon)
Department of Health Economics Faculty of Business and management Sciences, Catholic University of Cameroon, Bamenda (Cameroon)
Faculty of Economics and Management Sciences, The University of Bamenda, Bamenda (Cameroon)
Article Information
DOI: 10.47772/IJRISS.2026.100601141
Subject Category: Public Health
Volume/Issue: 10/6 | Page No: 16336-16346
Publication Timeline
Submitted: 2026-06-24
Accepted: 2026-06-30
Published: 2026-07-13
Abstract
Digital transformation in healthcare is reshaping how individuals access, interpret, and use health information; however, engagement with digital health systems remains uneven, particularly in low- and middle-income countries where disparities in access and capability persist. This study examines the relationship between digital health literacy (DHL), digital health resource utilisation, and preventive health behaviour among adults in Bamenda, Cameroon, while assessing the moderating role of socio-demographic factors. A quantitative cross-sectional survey design was employed, drawing on 437 valid responses from adult residents selected through stratified sampling. Data were collected using a structured questionnaire adapted from validated digital health literacy instruments and analysed using descriptive statistics, ordinary least squares (OLS) regression, and moderation analysis. The findings reveal that digital health literacy significantly predicts digital health resource utilisation (β = 0.0348, p < 0.001) and exerts an even stronger positive effect on preventive health behaviour (β = 0.710, p < 0.001). Age negatively influences both utilisation and preventive behaviour, while education demonstrates a consistent positive effect across models. Income and health insurance status are not statistically significant predictors, indicating that financial access plays a limited role once literacy is accounted for. Moderation analysis shows that age, education, and place of residence significantly condition the relationship between DHL and digital health utilisation, with stronger effects observed among younger, more educated, and urban populations. Gender does not significantly moderate the relationship. The study concludes that digital health literacy is a key determinant of digital health engagement and preventive health behaviour; however, its impact is shaped by structural and socio-demographic inequalities. These findings highlight the need for integrated digital health strategies that combine literacy enhancement with improvements in infrastructure and equitable access to ensure inclusive health system benefits in resource-constrained settings.
Keywords
Digital Health Literacy, Digital Health Utilisation, Preventive Health Behaviour
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References
1. Andersen, R. M. (1995). Revisiting the behavioral model and access to medical care: Does it matter? Journal of Health and Social Behavior, 36(1), 1–10. [Google Scholar] [Crossref]
2. Arias López, M. P., Ong, B. A., Borrat-Frigola, X., et al. (2023). Digital literacy as a determinant of health: A scoping review. PLOS Digital Health, 2(10), e0000279. https://doi.org/10.1371/journal.pdig.0000279 [Google Scholar] [Crossref]
3. Centers for Disease Control and Prevention. (2024). Health literacy and eHealth literacy. https://www.cdc.gov/healthliteracy [Google Scholar] [Crossref]
4. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008 [Google Scholar] [Crossref]
5. Fan, S., Jain, R. C., & Kankanhalli, M. S. (2023). Factors affecting willingness to use mobile health applications: A behavioral analysis. arXiv preprint arXiv:2305.05962. https://arxiv.org/abs/2305.05962 [Google Scholar] [Crossref]
6. Griebel, L., Enwald, H. P. K., Gilstad, H., et al. (2018). eHealth literacy research—A systematic review. Journal of Medical Internet Research, 20(1), e8. https://doi.org/10.2196/jmir.8900 [Google Scholar] [Crossref]
7. Holden, R. J., & Karsh, B. T. (2010). The Technology Acceptance Model: Its past and future in health care. Journal of Biomedical Informatics, 43(1), 159–172. https://doi.org/10.1016/j.jbi.2009.07.002 [Google Scholar] [Crossref]
8. Janz, N. K., & Becker, M. H. (1984). The Health Belief Model: A decade later. Health Education Quarterly, 11(1), 1–47. https://doi.org/10.1177/109019818401100101 [Google Scholar] [Crossref]
9. Kim, K., Shin, S., Kim, S., & Lee, E. (2023). eHealth literacy and health-related behaviors: A systematic review. Journal of Medical Internet Research, 25, e40778. https://doi.org/10.2196/40778 [Google Scholar] [Crossref]
10. Ministry of Public Health (Cameroon). (2020). National digital health strategic plan 2020–2024. Government of Cameroon. [Google Scholar] [Crossref]
11. Norman, C. D., & Skinner, H. A. (2006). eHEALS: The eHealth literacy scale. Journal of Medical Internet Research, 8(4), e27. https://doi.org/10.2196/jmir.8.4.e27 [Google Scholar] [Crossref]
12. Singh, J., & Grønli, T.-M. (2024). Digital health adoption barriers in low-income contexts: Evidence from sub-Saharan Africa. Journal of Global Health Informatics, 15(2), 112–124. [Google Scholar] [Crossref]
13. van der Vaart, R., & Drossaert, C. (2017). Development of the Digital Health Literacy Instrument (DHLI). Journal of Medical Internet Research, 19(11), e407. https://doi.org/10.2196/jmir.8371 [Google Scholar] [Crossref]
14. van Dijk, J. (2020). The digital divide. Polity Press. [Google Scholar] [Crossref]
15. World Health Organization. (2021). Global strategy on digital health 2020–2025. World Health Organization. https://www.who.int [Google Scholar] [Crossref]
16. Yuen, E., Knight, K., & others. (2024). Digital health literacy and engagement with digital health services. Interactive Journal of Medical Research, 13, e46888. https://doi.org/10.2196/46888 [Google Scholar] [Crossref]
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