BackgroundTimely access to intervention for psychosis is crucial yet problematic. As such, health care providers are forming digital strategies for addressing mental health challenges. A theory-driven digital intervention that monitors distressing experiences and provides real-time active management strategies could improve the speed and quality of recovery in psychosis, over and above conventional treatments. This study assesses the feasibility and acceptability of Actissist, a digital health intervention grounded in the cognitive model of psychosis that targets key early psychosis domains.MethodsA proof-of-concept, single, blind, randomized controlled trial of Actissist, compared to a symptom-monitoring control. Thirty-six early psychosis patients were randomized on a 2:1 ratio to each arm of the trial. Actissist was delivered via a smartphone app over 12-weeks; clinical and functional assessment time-points were baseline, post-treatment and 22-weeks. Assessors’ blind to treatment condition conducted the assessments. Acceptability was examined using qualitative methods.ResultsActissist was feasible (75% participants used Actissist at least once/day; uptake was high, 97% participants remained in the trial; high follow-up rates), acceptable (90% participants recommend Actissist), and safe (0 serious adverse events), with high levels of user satisfaction. Treatment effects were large on negative symptoms, general psychotic symptoms and mood. The addition of Actissist conferred benefit at post-treatment assessment over routine symptom-monitoring and treatment as usual.ConclusionsThis is the first controlled proof-of-concept trial of a theory-driven digital health intervention for early psychosis. Actissist is feasible and acceptable to early psychosis patients, with a strong signal for treatment efficacy.Trial Registration: ISRCTN: 34966555.
BackgroundStigma related to mental illness affects all ethnic groups, contributing to the production and maintenance of mental illness and restricting access to care and support. However, stigma is especially prevalent in minority communities, thus potentially increasing ethnically based disparities. Little is known of the links between stigma and help‐seeking for mental illness in African‐descended populations in the UK.Objective and study designBuilding on the evidence that faith‐based organizations (FBOs) can aid the development of effective public health strategies, this qualitative study used semi‐structured interviews with faith groups to explore the complex ways in which stigma influences help‐seeking for mental illness in African‐descended communities. A thematic approach to data analysis was applied to the entire data set.Setting and participantsTwenty‐six men and women who had varying levels of involvement with Christian FBOs in south London were interviewed (e.g. six faith leaders, thirteen ‘active members’ and seven ‘regular attendees’).ResultsKey factors influencing help‐seeking behaviour were as follows: beliefs about the causes of mental illness; ‘silencing’ of mental illness resulting from heightened levels of ideological stigma; and stigma (re)production and maintenance at community level. Individuals with a diagnosis of mental illness were likely to experience a triple jeopardy in terms of stigma.Discussion and conclusion‘One‐size‐fits‐all’ approaches cannot effectively meet the needs of diverse populations. To ensure that services are more congruent with their needs, health and care organizations should enable service users, families and community members to become active creators of interventions to remove barriers to help‐seeking for mental illness.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.