ArticleThe International journal of social psychiatry2022
'Modelling social exclusion in a diagnostically-mixed sample of people with severe mental illness'.
Article in The International journal of social psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Interventions supporting meaningful connections for people with serious mental illness: a concept-framed systematic narrative review.Social psychiatry and psychiatric epidemiology · 2025Pooled it
- Social inclusion of people with severe mental illness: a review of current practices, evidence and unmet needs, and future directions.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026Article
- Social exclusion as a major outcome domain of psychotic disorders: early predictors, and associations with non-recovery and clinical staging 21 years after a first episode of psychosis.Social psychiatry and psychiatric epidemiology · 2025Observational
- Construction of a troublemaking risk assessment tool for patients with severe mental disorders in community of China.Scientific reports · 2025Article
- Barriers and facilitators to social inclusion among people with severe mental illness: A qualitative study.PLOS mental health · 2025Article
- A Web-Based Tool to Assess Social Inclusion and Support Care Planning in Mental Health Supported Accommodation: Development and Preliminary Test Study.Interactive journal of medical research · 2024Article
- Understanding the social inclusion needs of people living in mental health supported accommodation.BMC research notes · 2023Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSocial inclusion is an important indicator of recovery in individuals with severe mental illness. The Social Inclusion Questionnaire User Experience (SInQUE) is a new measure of social inclusion for mental health service users which assesses five domains (consumption, production, access to services, social integration and civil engagement). It has good psychometric properties and is acceptable to service users and mental health professionals. It is not clear whether individuals with different diagnostic conditions experience a similar reduction in social inclusion.
aims(1) Investigate whether current social inclusion differs between diagnostic groups (people with schizophrenia/other psychotic disorders, common mental disorder or personality disorder); (2) Identify factors associated with lower social inclusion; (3) Examine associations between social inclusion and stigma, quality of life and loneliness.
methodMental health service users with psychotic disorder, personality disorder or common mental disorder, living in the community, completed the SInQUE, alongside other validated outcome measures. Multiple regression investigated associations.
resultsAbout 192 service users (55% with psychotic disorder; 26% with common mental disorder; 19% with personality disorder). Current social inclusion did not vary according to diagnosis, except for the sub-domain of productivity, where individuals with personality disorder were more socially included than the other two groups. Lower social inclusion was associated with older age (
conclusionsBarriers to social inclusion in individuals with severe mental health problems include factors related to the illness, such as symptom severity and external factors, such as stigma and discrimination. Social inclusion is a recovery goal and should be routinely assessed. Increasing people's social inclusion benefits service users in terms of improved mental health, better quality of life and reduced loneliness.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.