Downloads provided by UsageCounts
DISCLAIMER: The present Project Deliverable has been submitted to the European Commission for review. The information and views set out in this report are those of the author(s) and do not necessarily reflect the official opinion of the European Union. Neither the European Union institutions and bodies nor any person acting on their behalf may be held responsible for the use which may be made of the information contained therein. This policy brief tables recommendations to strengthen mental health social support networks, as a result of the design and implementation of a new Citizen Social Science (CSS) project. Social support is a positive factor within mental health recovery, while also acting against social exclusion. However, evidence on how to fully harness its potential is still lacking. The “CoAct for Mental Health” project has been co-designed and directly driven by Co-Researchers, people with mental health problems and their families. The intrinsic and transformative value of personal lived experiences of mental health problems is extended with the methods and tools presented. CSS makes it possible to implement an inclusive and multi-level participation model, based on cooperation. This involved launching a chatbot to invite all citizens to participate in the CSS research and deploying collective data interpretation methodologies to include Co-Researchers in the results discussion and in drawing conclusions to make recommendations and support specific demands. Within the local context of Catalonia, specific recommendations are made, which will be mainstreamed within the National Mental Health Pact. At a more global level, recommendations to include CSS tools and methodologies are made to the mental health research community.
Mental Health, Citizen Social Science, Social Support Networks, Chatbot
Mental Health, Citizen Social Science, Social Support Networks, Chatbot
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 54 | |
| downloads | 39 |

Views provided by UsageCounts
Downloads provided by UsageCounts