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The number of university students seeking mental health support is rapidly increasing. To provide additional psychological support to students accessing well-being services, this study aimed to pilot a mental health Web application (app) called Orpheus®.

Guided by student consultations, a multi-methods approach was adopted, including an examination of in-app data, chart reviews of routinely collected student information and interviews with mental health practitioners. Usage data were analysed descriptively. Changes in mental health outcomes were examined using means, standard deviations and reliable change indices for anxiety and depression scores. Inductive and deductive thematic analysis was conducted on qualitative data from staff interviews and student feedback.

A total of 26 students registered an account with 39 completed app visits. On 37 of the 39 (94.9%) occasions, students reported reductions in the intensity of unwanted negative emotions. Statistically significant reductions in the average pooled anxiety and depression scores were observed. Of the 15 students who completed pre- and post-routine outcome measures, between 20% and 60% showed reliable and meaningful symptom improvements. Students reported that the app was helpful and easy to set up and use, with no adverse events. Practitioners highlighted barriers and facilitators related to the technology features, situational contexts and individual differences.

Integrating Orpheus in real-world settings resulted in promising implementation processes, potential for future uptake and positive outcomes. However, ongoing research, staff training and app testing are needed to further improve the implementation processes for digital mental health interventions.

As the global focus on sustainability continues to grow, it is crucial to assess the current state of research and identify knowledge gaps. This study aims to provide a comprehensive overview of the existing literature on promoting and implementing the Sustainable Development Goals (SDGs).

Using a three-stage systematic screening process, 416 articles were identified and analyzed using the proposed social-economic-environmental (SEE) Cube classification model.

The results revealed a potential imbalance in research priorities, with a greater focus on economic and environmental goals compared to social goals. Regional disparities were also observed, indicating a correlation between a country’s development status and its environmental priorities. Moreover, a majority of the papers lacked empirical grounding, emphasizing the need for increased promotion and implementation of the SDGs to achieve the 2030 Agenda.

This study contributes to the existing literature by proposing the SEE Cube model, which is a parsimonious model to classify and show the interactions of the existing studies on the sustainable development dimensions. Marketers who are concerned about their corporate images should give more details about their sustainability practices to avoid the impression of SDG washing. Policymakers and educators should proactively implement interventions related to the SDGs of lower awareness, and there should be a greater emphasis on conducting empirical research, particularly experimental studies.

These findings not only highlight practical challenges that impact the implementation of the SDGs but also inform new research avenues.