Exploring the digital shift: Factors influencing the sustainable adoption of e-health tools for digital mental health services amidst the COVID-19 pandemic

Main Article Content

Rhodrick Nyasha Musakuro https://orcid.org/0000-0002-3787-3580

Keywords

e-health tools, digital mental health services, technology adoption, COVID-19, sustainability

Abstract

The COVID-19 pandemic accelerated the global adoption of electronic health (e-health) tools for digital mental health services (DMHS) in South African higher education institutions (SA HEIs). However, the long-term sustainability of these innovations remains uncertain. This study employs an integrated Technology-Organisation-Environment (TOE) and Technology Acceptance Model (TAM) framework to investigate determinants of the sustainable adoption of e-health tools. A cross-sectional survey of 348 staff at a selected SA HEI was analysed using descriptive statistics and exploratory factor analysis. Three critical factors emerged: (1) University capacity to deliver DMHS, emphasising the significance of top management support, financial resources, and information and communications technology expertise; (2) Perceived benefits and importance of e-health tools, highlighting user perceptions of usefulness, ease of use, and behavioural intention; and (3) External support to enhance university capacity, including government policies, competitive pressures, and institutional partnerships. The study advances theory by synthesising TOE and TAM in a resource-constrained context, revealing how institutional readiness and user perceptions jointly influence the sustainable adoption of e-health tools for DMHS. Practical implications highlight the need for targeted investments in digital infrastructure, capacity-building, and policy alignment to strengthen DMHS sustainability. The study results are consistent with Sustainable Development Goal 3 (SDG 3), offering a roadmap for SA HEIs to leverage e-health tools for mental health resilience post-pandemic.

Abstract 214 | PDF Downloads 126

References

Agbeyangi, A. O., & Lukose, J. M. (2025). Telemedicine Adoption and Prospects in Sub-Saharan Africa: A Systematic Review with a Focus on South Africa, Kenya, and Nigeria. Healthcare, 13(7), 762. https://doi.org/10.3390/healthcare13070762
Asi, Y.M. & Williams, C. (2018). The role of digital health in making progress toward Sustainable Development Goal (SDG) 3 in conflict-affected populations. International Journal of Medical Informatics, 114, 114-120. https://doi.org/10.1016/j.ijmedinf.2017.11.003
Awa, H.O. & Ojiabo, O.U. (2016). A model of adoption determinants of ERP within TOE framework. Information Technology & People, 29(4), 901–930. https://doi.org/10.1108/ITP-03-2015-0068
Bamufleh, D., Alshamari, A.S., Alsobhi, A.S., Ezzi, H.H. & Alruhaili, W.S. (2021). Exploring public attitudes toward e-government health applications used during the COVID-19 pandemic: Evidence from Saudi Arabia. Computer and Information Science, 14(3), 1. https://doi.org/10.5539/cis.v14n3p1
Barkhuizen, N., Roodt, E. & Schutte, N. (2014). Talent management of academics: balancing job demands and job resources. Mediterranean Journal of Social Sciences, 5(20), 2033. https://doi.org/10.5901/mjss.2014.v5n20p2033
Bernecker, S.L., Banschback, K., Santorelli, G.D. & Constantino, M.J. (2017). A web-disseminated self-help and peer support program could fill gaps in mental health care: Lessons from a consumer survey. Journal of Medical Internet Research Mental Health, 4(1), 1-42. https://doi.org/10.2196/mental.4751
Bezuidenhout, A. & Cilliers, F.V. (2010). Burnout, work engagement and sense of coherence in female academics in higher-education institutions in South Africa. SA Journal of Industrial Psychology, 36(1), 1-10. https://doi.org/10.4102/sajip.v36i1.872
Bryman, A. & Bell, E. (2011). Research Methodology: Business and Management Context. Cape Town: Oxford University Press.
Davis, F.D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly 13(2), 319–340. https://doi.org/10.2307/249008
Dlamini, P.I. (2024). “Think on these things”: the effect of depression on South African academics in higher education work performance and attendance. Open Journal of Depression. https://doi.org/10.4236/ojd.2024.133005
El-Gohary, H. (2012). Factors affecting E-Marketing adoption and implementation in tourism firms: An empirical investigation of Egyptian small tourism organisations. Tourism Management, 33(5), 1256-1269. https://doi.org/10.1016/j.tourman.2011.10.013
Fagherazzi, G., Goetzinger, C., Rashid, M.A., Aguayo, G.A. & Huiart, L. (2020). Digital Health Strategies to Fight COVID-19 Worldwide: Challenges, Recommendations, and a Call for Papers. Journal of Medical Internet Research, 22(6), 1-10. https://doi.org/10.2196/19284
Gbollie, E.F., Bantjes, J., Jarvis, L., Swandevelder, S., Du Plessis, J., Shadwell, R., Davids, C., Gerber, R., Holland, N. & Hunt, X. 2023. Intention to use digital mental health solutions: A cross-sectional survey of university students attitudes and perceptions toward online therapy, mental health apps, and chatbots. Digital Health, 9, 1-19. https://doi.org/10.1177/20552076231216559
Gie, L., Slabbert, A. & Haydam, N. (2017). Balancing the double-edged sword of technology within a modern university workplace. Problems and Perspectives in Management, 15(3), 425-437. https://doi.org/10.21511/ppm.15(3-2).2017.10
Gooding, P. (2019). Mapping the rise of digital mental health technologies: Emerging issues for law and society. International Journal of Law and Psychiatry, 67, 1-11. https://doi.org/10.1016/j.ijlp.2019.101498
Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2014). Multivariate data analysis. 7th Ed. Essex: Pearson Education Limited.
Hair, J.F., Ortinau, D.J. & Harrison, D.E. (2021). Essentials of Marketing Research. McGraw-Hill, New York, NY.
Han, L., Liu, J., Evans, R., Song, Y. & Ma, J. (2020). Factors Influencing the Adoption of Health Information Standards in Health Care Organizations: A Systematic Review Based on Best Fit Framework Synthesis. JMIR Medical Informatics, 8(5), 1-14. https://doi.org/10.2196/17334
Hiran, K.K. & Henten, A. (2020). An integrated TOE–DoI framework for cloud computing adoption in the higher education sector: case study of Sub-Saharan Africa, Ethiopia. International Journal of System Assurance Engineering and Management, 11(2), 441 – 449. https://doi.org/10.1007/s13198-019-00872-z
Howarth, A., Quesada, J., Silva, J., Judycki, S. & Mills, P.R. (2018). The impact of digital health interventions on health-related outcomes in the workplace: a systematic review. Digital Health, 4, 1-8. https://doi.org/10.1177/2055207618770861
Jere, J.N. & Ngidi, N. (2020). A technology, organisation and environment framework analysis of information and communication technology adoption by small and medium enterprises in Pietermaritzburg. South African Journal of Information Management, 22(1), 1-9. https://doi.org/10.4102/sajim.v22i1.1166
Johnson, R.D. & Diman, K. (2017). An Investigation of the Factors Driving the Adoption of Cloud-Based Human Resource Information Systems by Small- and Medium-Sized Businesses. In Bondarouk, T., Ruël, H.J.M. and Parry, E. (Eds). Electronic HRM in the Smart Era (The Changing Context of Managing People). Emerald Publishing Limited, 1-31. https://doi.org/10.1108/978-1-78714-315-920161001
Kinman, G. & Johnson, S. (2019). Special section on well-being in academic employees. International Journal of Stress Management, 26(2), 159-161. https://doi.org/10.1037/str0000131
Ledesma, R.D., Ferrando, P.J., Trógolo, M.A., Poó, F.M., Tosi, J.D. & Castro, C. (2021). Exploratory factor analysis in transportation research: Current practices and recommendations. Transportation Research Part F: Traffic psychology and behaviour, 78, 340-352. https://doi.org/10.1016/j.trf.2021.02.021
Maphalala, M.C. & Adigun, O.T. (2021). Academics’ Experience of Implementing E-Learning in a South African Higher Education Institution. International Journal of Higher Education, 10(1), 1-13. https://doi.org/10.5430/ijhe.v10n1p1
Mbunge, E., Batani, J., Gaobotse, G. & Muchemwa, B. (2022). Virtual healthcare services and digital health technologies deployed during coronavirus disease 2019 (COVID-19) pandemic in South Africa: a systematic review. Global Health Journal, 6(2), 102-113. https://doi.org/10.1016/j.glohj.2022.03.001
Melzner, J., Heinze, J. & Fritsch, T. (2014). Mobile health applications in workplace health promotion: an integrated conceptual adoption framework. Procedia Technology, 16, 1374-1382. https://doi.org/10.1016/j.protcy.2014.10.155
Meyer, J.C., Matlala, M. & Chigome, A. (2019). Mental health care-a public health priority in South Africa. South African Family Practice, 61(5), 25-29. https://doi.org/10.4102/safp.v61i5.4946
Murairwa, S. (2015). Voluntary sampling design. International Journal of Advanced Research in Management and Social Sciences, 4(2), 185-200.
Musakuro, R.N. & Gie, L. (2024). University staff intentions to adopt e-health tools for digital mental health services in post-pandemic South Africa. South African Journal of Information Management, 26(1), 1-11. https://doi.org/10.4102/sajim.v26i1.1897
Musakuro, R.N. (2025). Investigating the current state of the adoption of e-health tools for digital mental health services in a selected South African higher education institution. International Journal of Business Ecosystem & Strategy, 7(2), 75-87. https://doi.org/10.36096/ijbes.v7i2.698
Pagliari, C., Sloan, D., Gregor, P., Sullivan, F., Detmer, D., Kahan, J.P., Oortwijn, W. & MacGillivray, S. (2005). What is eHealth (4): a scoping exercise to map the field. Journal of Medical Internet Research, 7(1), e391. https://doi.org/10.2196/jmir.7.1.e9
Ramdani, B., Chevers, D. & Williams, D.A. (2013). SMEs’ adoption of enterprise applications: A technology-organisation-environment model. Journal of Small Business and Enterprise Development, 20(4), 735-753. https://doi.org/10.1108/JSBED-12-2011-0035
Ramdani, B., Duan, B. & Berrou, I. (2020). Exploring the Determinants of Mobile Health Adoption by Hospitals in China: Empirical Study. JMIR Medical Informatics, 8(7) 1-17. https://doi.org/10.2196/1479
Robbins, S. P., Judge, T. A., Odendaal, A. & Roodt, G. (2019). Organisational behaviour: Global and South African Perspectives. Cape Town, South Africa: Pearson Education.
Schueller, S.M., Washburn, J.J. & Price, M. (2016). Exploring mental health providers’ interest in using web and mobile-based tools in their practices. Internet Interventions, 4, 145-151. https://doi.org/10.1016/j.invent.2016.06.004
Sligo, J., Gauld, R., Roberts, V. & Villa, L. (2017). A literature review for large-scale health information system project planning, implementation and evaluation. International Journal of Medical Informatics, 97, 86-97. https://doi.org/10.1016/j.ijmedinf.2016.09.007
Tornatzky, L.G., Fleischer, M. & Chakrabarti, K. (1990). Processes of Technological Innovation. Lexington: Lexington Books.
United Nations. (2020). Policy Brief: COVID-19 and the Need for Action on Mental Health. https://unsdg.un.org/sites/default/files/2020-05/UN-Policy-Brief-COVID-19-and-mental-health.pdf [Accessed 4 August 2020].
University X. (2025). Annual Report 2024. https://issuu.com/cput6/docs/2024_annual_report [Accessed 14 September 2025].
Van der Kolk, B. (2000). Post-traumatic stress disorder and the nature of trauma. Dialogues in clinical neuroscience, 2(1), 7-22. https://doi.org/10.31887/DCNS.2000.2.1/bvdkolk
van Stam, G. (2022). Conceptualization and practices in digital health: voices from Africa. African Health Sciences, 22(1), 664-72. https://doi.org/10.4314/ahs.v22i1.77
Varga, S. & Latham, A. J. (2024). Is health the absence of disease?. Inquiry, 1–21. https://doi.org/10.1080/0020174X.2024.2361694
Walker, R.S. & Brown, I. (2020). Big data analytics adoption: A case study in a large South African telecommunications organisation. South African Journal of Information Management, 21(1), 1-10. https://doi.org/10.4102/sajim.v21i1.1079
World Health Organization. (2001). Strengthening mental health promotion. Geneva: World Health Organization.
World Health Organization. (2013). What is mental health?. Geneva: World Health Organization.
Zharima, C., Griffiths, F. & Goudge, J. (2023). Exploring the barriers and facilitators to implementing electronic health records in a middle-income country: a qualitative study from South Africa. Frontiers in Digital Health, 5, 1207602. https://doi.org/10.3389/fdgth.2023.1207602