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Drug prevention programs typically focus on providing information on the effects of drugs and developing refusal skills. However, there is evidence that adolescents use substances to cope with stress. As such, integrating mental health literacy is important in prevention programs. The purpose of this study was to test a video-based mental health and substance prevention program for Filipino youth.

The study used a cluster randomized trial and mixed methods design with 623 Filipino adolescents from 12 to 18 years old. The program consisted of six sessions focusing on stress, adaptive coping, effects of substances and drug refusal skills. It uses short psychoeducation videos along with self-reflection, and discussions to increase learner engagement.

Results revealed a significant increase in knowledge and negative attitudes toward substance of participants in the intervention group compared to the control group. Those in the intervention group reported improved use of adaptive coping skills particularly cognitive reappraisal, social support, problem-solving and relaxation compared to the control group.

This study adds to the literature on prevention from under-represented and non-Western contexts such as the Philippines. This study highlights how technology-mediated and integrated mental health and substance use programs can be useful in countries with few resources for mental health.

The purpose of this study was to test a mobile application for mental health created for Filipinos. Specifically, it tested the Lusog-Isip mobile app vis-à-vis a mental health workbook as they affect psychosocial well-being and coping strategies of users.

This study used a randomized control trial design. Participants were assigned to two conditions: a treatment group using the mobile app and a control group that used an existing mental health workbook. Pre- and post-tests were conducted before and two weeks after.

Results revealed improved psychological well-being and use of cognitive reappraisal for both mobile app and workbook users. Users of the mobile app reported higher scores compared to those who used the workbook for emotional release.

This study adds to the dearth of knowledge on the use of a mobile application for mental health in low-resource countries. It highlights the potential of using digital technologies to provide access to mental health resources in underserved populations.

Despite an enormous body of literature on conflict management, intra-group conflicts vis-à-vis team performance, there is currently no study investigating the conflict prevention approach to handling innovation-induced conflicts that may hinder smooth implementation of big data technology in project teams.

This study uses constructs from conflict theory, and team power relations to develop an explanatory framework. The study proceeded to formulate theoretical hypotheses from task-conflict, process-conflict, relationship and team power conflict. The hypotheses were tested using Partial Least Square Structural Equation Model (PLS-SEM) to understand key preventive measures that can encourage conflict prevention in project teams when implementing big data technology.

Results from the structural model validated six out of seven theoretical hypotheses and identified Relationship Conflict Prevention as the most important factor for promoting smooth implementation of Big Data Analytics technology in project teams. This is followed by power-conflict prevention, prevention of task disputes and prevention of Process conflicts respectively. Results also show that relationship and power conflicts interact on the one hand, while task and relationship conflict prevention also interact on the other hand, thus, suggesting the prevention of one of the conflicts could minimise the outbreak of the other.

The study has been conducted within the context of big data adoption in a project-based work environment and the need to prevent innovation-induced conflicts in teams. Similarly, the research participants examined are stakeholders within UK projected-based organisations.

The study urges organisations wishing to embrace big data innovation to evolve a multipronged approach for facilitating smooth implementation through prevention of conflicts among project frontlines. This study urges organisations to anticipate both subtle and overt frictions that can undermine relationships and team dynamics, effective task performance, derail processes and create unhealthy rivalry that undermines cooperation and collaboration in the team.

The study also addresses the uncertainty and disruption that big data technology presents to employees in teams and explore conflict prevention measure which can be used to mitigate such in project teams.

The study proposes a Structural Model for establishing conflict prevention strategies in project teams through a multidimensional framework that combines constructs like team power conflict, process, relationship and task conflicts; to encourage Big Data implementation.