PurposeThe association between social networks and improved mental and physical health is well documented in the literature, but mental health services rarely routinely intervene to improve an individual’s social network. This review summarises social participation intervention models to illustrate different approaches which practitioners use, highlight gaps in the evidence base and suggest future directions for research.MethodsA systematic search of electronic databases was conducted, and social participation interventions were grouped into six categories using a modified narrative synthesis approach.ResultsNineteen interventions from 14 countries were identified, six of which were evaluated using a randomised controlled trial. They were grouped together as: individual social skills training; group skills training; supported community engagement; group-based community activities; employment interventions; and peer support interventions. Social network gains appear strongest for supported community engagement interventions, but overall, evidence was limited.ConclusionsThe small number of heterogeneous studies included in this review, which were not quality appraised, tentatively suggests that social participation interventions may increase individuals’ social networks. Future research needs to use experimental designs with sufficient samples and follow-up periods longer than 12 months to enable us to make firm recommendations for mental health policy or practice.

Background: Evidence-based strategies for treating mental health conditions need to be scaled up to address the mental health treatment gap in low- and middle-income countries. Most medical and psychological interventions for the treatment of mental health conditions have been developed and evaluated in high-income countries. However, the imperative of scaling up such interventions potentially ignores local realities, and may also discredit or replace local frameworks for responding to distress. Aims: This article aims to develop a framework for the cultural adaptation of social interventions which are developed within, and draw upon, local contexts, to ensure they are acceptable, feasible and effective. Method: A case study approach is used to discuss the feasibility of developing and adapting psychosocial interventions which are embedded in local knowledge, values and practices. Results: The first case study introduces yoga as an alternative and/or complementary, and culturally relevant, approach for people experiencing mental health conditions in India. The second case study is a cross-cultural adaptation of a psychosocial intervention from the United Kingdom to fit the local idioms of distress and service context in Sierra Leone, as the country battled with the Ebola outbreak. We use these case studies to develop a Cultural Adaptation Framework, which recognises that people and their mental health are products of their culture and society, to inform the future development, adaptation and evaluation of sociocultural interventions for people experiencing mental health conditions in low- and middle-income countries. Conclusion: The Cultural Adaptation Framework can be used to ensure interventions are culturally relevant and responsive to local conditions prior to evaluating in experimental studies.

Objective: This pilot study evaluated the effect of the Connecting People Intervention (CPI) on access to social capital, social inclusion and mental well-being. Method: A prospective one group pretest-posttest pre-experimental study of 155 people with a mental health problem or a learning disability receiving care and support from health and social care practitioners trained in the CPI was used. Results: Participants exposed to practice with high fidelity to the CPI model had significantly higher access to social capital (p=.03, partial η 2 =.05) and perceived social inclusion (p=.01, partial η 2 =.07), and lower service costs (-£1,331 (95%CI=-£69 to-£2593), posttest than those exposed to low fidelity to the model. All participants had significantly higher mental wellbeing posttest (p<.001). Conclusions: These preliminary results suggest that when fully implemented the CPI can improve social outcomes for people with a mental health problem or learning disability.

ObjectivesThe purpose of this study is to examine the existing literature of the major social risk factors which are associated with diabetes, hypertension and the comorbid conditions of depression and anxiety in India.DesignScoping review.Data sourcesScopus, Embase, CINAHL Plus, PsycINFO, Web of Science and MEDLINE were searched for through September 2019.Eligibility criteria for selecting studiesStudies reporting data on social risk factors for diabetes or hypertension and depression or anxiety in community-based samples of adults from India, published in English in the 10 years to 2019, were included. Studies that did not disaggregate pooled data from other countries were excluded.Data extraction and synthesisTwo independent reviewers extracted study aims; methods; sample size and description; demographic, social and behavioural risk factors and a summary of findings from each paper. Risk factors were synthesised into six emergent themes.ResultsTen studies were considered eligible and included in this review. Nine presented cross-sectional data and one was a qualitative case study. Six themes emerged, that is, demographic factors, economic aspects, social networks, life events, health barriers and health risk behaviours.ConclusionsLiterature relating to the major social risk factors associated with diabetes, hypertension and comorbid depression and anxiety in India is sparse. More research is required to better understand the interactions of social context and social risk factors with non-communicable diseases and comorbid mental health problems so as to better inform management of these in the Indian subcontinent.