Digital health technologies (DHT) might have the potential to address some of the challenges in the prevention, prediction, monitoring and personalised management of mental disorders and their long-term health consequences, as well as to tackle some of the organisational issues in providing mental health care. 

Applicants should demonstrate how DHT may enable:

1. better prevention and prediction of disorder onset or relapse;
2. better disease management;
3. tackling comorbidities;
4. addressing long-term health consequences (such as cardiovascular disease or diabetes).

Applicants should aim to deliver robust evidence on how DHT may be:

1. made easy to adopt and use in a sustained way for both people with mental disorders, their families/caregivers and health and care providers;
2. effectively incorporated into clinical research and in clinician workflows.

The choice of the specific mental disorder should be justified based on unmet public health need, its impact on quality of life of people with mental disorders and their families/caregivers as well as the feasibility and preliminary evidence available on the use and value of DHT. To contribute to breaking the silos between psychiatry and other medical branches and better address the impact of co-morbidities in people with mental disorders, applicants should consider relevant co-morbidity/ies where DHT data, learnings and technologies are already available and can be further developed/applied to mental disorders. Co-morbidities can significantly exacerbate mental health disorders, impacting quality of life and the development of long-term health consequences The choice of comorbidy/ies must therefore be justified accordingly.

Consortia should propose ways to foster the future integration of digital and clinical mental healthcare, as well as how DHT might enhance the outcomes of interventions by social and healthcare professionals while decreasing the burden on the healthcare system.