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The STRENCO Logic Model for Tripartite Working provides a snapshot of the feasibility of working in more co-produced ways to achieve greater inclusiveness of service users, family members, carers, experts by experience, clinicians, academics and students in relation to decision making processes, care, policy and research, which is aspired for mental health.\ud The development of the model was conceived in the context of EU policy emphasising the role of research, education and practice as co-creators in developing new approaches for working (knowledge triangle). In some countries co-production is written into national policy frameworks, whilst in others the integration of service users is limited to involvement in research projects, with the integration of service users and family members into mental health service development, delivery, evaluation and research a work in progress.\ud Whilst co-production forms part of discussions in regards to mental health services, few examples of how this can be done by involving all dimensions in the knowledge triangle currently exist. The STRENCO Logic Model for tripartite working (Figure 1) extends current evidence by providing pragmatic guidance on how to co-produce in mental health (Slay & Stephens, 2013; NDTi, 2016).\ud In making the proposal to create a Tripartite Model for working, the partners agreed and put forward a method where all stakeholders in the mental health conversation could be involved in the co-creation of knowledge and learning that might strengthen and improve competencies in mental health. An approach, drawing from the principles of participatory action research was adopted. This approach proposed the development of Communities of Practice (CoPs) comprising service users, family members, carers, experts by experience, clinicians, academics and students in each of the six partner institutions in the five countries. These CoPs fed into the central project as ‘think tanks’, both for the development of the Outputs on the project and for the running of the associated Intensive Programmes for students and teachers. Through our learning in these Communities of Practice, they have become the keystone of the STRENCO Logic Model and as a way of working.

In response to the coronavirus pandemic, many clinical trials have tested existing drugs that may help treat Covid-19. NHS trusts have been encouraged to prioritise studies approved by the four chief medical officers, and clinical research nurses and midwives have been crucial to the delivery of these studies. Adaptations to standard research practices have been required – the consent process has been changed to reflect patients’ loss of capacity and the absence of family members, while the collection of biological samples and other patient data has required research nurses and midwives to find solutions to being in an isolation environment. Results of early studies have identified some initial treatment options for patients; many other studies are ongoing.

Mobile mental health presents many ethical challenges in the wild. These ethical issues and associated values were explored through a content analysis and ethical review of the depression app marketplace. App search and data collection was performed in Google Play Store (UK) and Apple iTunes (UK) between October to November 2018. Iterative data extraction and coding of ethical variables and values were conducted prior to synthetization of issues and themes. Search found 353 unique apps for depression. Analysis uncovered a range of ethical issues including: limited evidence of intervention validity, fidelity, and outcomes; insufficient safeguarding and duty of care; non-multisector development teams; lack of independent certification and regulation; lack of information and transparency for informed user choices; and concerns with privacy, confidentiality, and user permissions. These findings highlighted the presence and absence of ethical values in apps for depression, with most apps failing to reflect many key values. Our findings suggest a need for greater ethical value sensitive design in mobile mental health. This is challenging given the field’s multidisciplinarity and value conflicts. We encourage designers to adopt a responsible innovation approach to creating technologies that meet these ethical demands.