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This paper aims to describe the development of WorkOut, an Internet-based program designed to help young men overcome the barriers towards help-seeking and to build the skills they need to understand and manage their own mental health. Information and communication technologies (ICT) hold great potential to significantly improve mental health outcomes for hard-to-reach and traditionally underserved groups. Internet-based programs and mobile phone applications may be particularly appealing to young men due to their convenience, accessibility and privacy and they also address the strong desire for independence and autonomy held by most men.

In this paper, we describe the design process itself, and the strategies used for multi-disciplinary collaboration. The initial evaluation process and results are also described which consisted of three distinct phases: website statistics; one-on-one user testing; and pilot interviews.

The results suggest that WorkOut has the potential to attract young men. However, further work is needed to ensure that users remain engaged with the program.

The difficulties encountered and lessons learned provide an insight into the factors that should be considered in the design and evaluation of future ICT-based strategies within the mental health domain, as well as their potential applicability to clinical and educational settings.

This study aims to understand and a lay a foundation of how analytics has been used in depression management, this study conducts a systematic literature review using two techniques – text mining and manual review. The proposed methodology would aid researchers in identifying key concepts and research gaps, which in turn, will help them to establish the theoretical background supporting their empirical research objective.

This paper explores a hybrid methodology for literature review (HMLR), using text mining prior to systematic manual review.

The proposed rapid methodology is an effective tool to automate and speed up the process required to identify key and emerging concepts and research gaps in any specific research domain while conducting a systematic literature review. It assists in populating a research knowledge graph that does not reach all semantic depths of the examined domain yet provides some science-specific structure.

This study presents a new methodology for conducting a literature review for empirical research articles. This study has explored an “HMLR” that combines text mining and manual systematic literature review. Depending on the purpose of the research, these two techniques can be used in tandem to undertake a comprehensive literature review, by combining pieces of complex textual data together and revealing areas where research might be lacking.