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This study aims to explore the current state of the adoption of e-health tools for digital mental health services (DMHS) at a selected South African higher education institution. A quantitative case study was conducted at a single university in Cape Town, South Africa, surveying 348 voluntary participants. Data analysis involved descriptive statistics and exploratory factor analysis through Statistical Package for Social Sciences (SPSS) version 28. The results of this study indicate that awareness of freely accessible DMHS, service providers, and Fourth Industrial Revolution (4IR) technologies are significant factors driving the adoption of e-health tools. However, internet accessibility, internet cost concerns, multiple device use, social media use, searching for services, and preferences for digital over in-person services showed no significant correlation with the current state of adoption factor. The study concludes that awareness of DMHS, service providers, and 4IR technologies are key drivers for the sustainable adoption of e-health tools post-COVID-19. The results inform practical strategies for the sustainable adoption of e-health tools in SA HEIs and may be relevant to similar institutions in global contexts. The findings are potentially applicable to similar contexts globally. Thus, helping to achieve the Sustainable Development Goal 3 of the United Nations of ensuring good health and wellbeing.

The study aimed to investigate factors influencing the intention to adopt e-health tools for accessing digital mental health services among university staff at a selected South African higher education institution. A quantitative case study was conducted at a single university in Cape Town, South Africa. Data was collected from 348 respondents using online questionnaires and analysed using descriptive statistics and multiple regression. The results revealed that stable internet access at home did not significantly influence the intention to adopt e-health tools (p =0.698, ? = -0.020), but concerns about internet costs were a barrier (p = 0.011, ? = 0.131). University staff who used multiple devices (p = 0.014, ? = 0.136) and preferred e-health tools over traditional face-to-face services were more likely to adopt them (p < 0.001, ? = 0.319). Moreover, social media usage (p < 0.766, ? = 0.016), searching for digital mental health services (p <0.107, ? = 0.085), and awareness of free university services (p < 0.307, ? = -0.058), DMHS providers (p < 0.529, ? = 0.038), and fourth industrial revolution technologies (p < 0.106, ? = -0.091) did not significantly influence adoption intentions. The study contributes to sustainable digital mental health support for university staff in South Africa. The results could potentially be applicable to similar contexts globally. Thus, helping to achieve the Sustainable Development Goal 3 of the United Nations of ensuring good health and wellbeing.

The recent COVID-19 pandemic significantly exacerbated mental health issues worldwide, with South African university staff facing unique stressors that led to the adoption of e-health tools for digital mental health services. This study explores the university staff experiences gained during COVID-19 pandemic in the provision of digital mental health services through e-health tools. We conducted a case study at a public university in Cape Town, South Africa complemented by a survey using quantitative methods. Data from 348 respondents were collected via voluntary response sampling and analysed with Statistical Software Package for Social Sciences (SPSS) version 28, employing exploratory factor analysis. High factor loadings above 0.4 confirmed significant contributions from seven items: perceived usefulness of e-health tools, perceived usefulness of social media, user experience and satisfaction, university commitment, variety of digital mental health services, post-COVID-19 delivery mode preference and ethical considerations. These seven items revealed that during COVID-19, e-health tools provided significant benefits to university staff including increased access to digital mental services. However, the study findings revealed that university staff were concerned about the lack of a legal framework during COVID-19, and the role of AI-powered mental health applications did not significantly influence their experiences during the pandemic. Our study provides theoretical insights into the effectiveness and perceived usefulness of e-health tools for digital mental health services during COVID-19, reinforcing their significance in reducing anxiety, stress, and depression while enhancing emotional resilience. Practically, our study findings suggest that universities should integrate e-health tools into the provision of digital mental health services given that these tools proved effective during COVID-19.