Self-stigma in schizophrenia: a systematic review and meta-analysis of 40 studies from 25 high- and low-to-middle income countries

Abstract

In schizophrenia, it is currently thought that stigma experience is increased by psychotic and depressive symptomatology, exposure to stigma at the workplace, and that self-stigma levels vary across countries without knowing the factors explaining these variations. The aim of the present meta-analysis was to synthetize the data of observational studies comprehensively exploring multiple self-stigma dimensions and associated factors. A systematic literature search without language or time restrictions was conducted in Medline, Google Scholar and Web of Science for studies, last 09/2021. Eligible studies that included ≥ 80% of patients diagnosed with schizophrenia-spectrum disorders and used a validated scale measuring self-stigma dimensions were meta-analyzed using random-effects models, followed by subgroup and meta-regression analyses. Study registration: PROSPERO CRD42020185030. Across 40 studies (n = 7,717) from 25 countries (5 continents), with 20 studies conducted in high-income countries, published between 2007 and 2020 using two scales with total scores ranging 1–4. The mean estimate of perceived stigma was 2.76 [95% confidence interval (CI) = 2.60–2.94], experienced stigma 2.29 [95%CI = 2.18,2.41], alienation 2.40 [95%CI = 2.29,2.52], stereotype endorsement 2.06 [95%CI = 1.88,2.26], social withdrawal 2.28 [95%CI = 2.17,2.39] and stigma resistance: 2.53 [95%CI = 2.43,2.63]). Self-stigma levels did not reduce over time. Living outside urban areas, low income, singleness, unemployment, high antipsychotic dose and low functioning were associated with different stigma dimensions. Some stigma dimensions were lower in studies carried out in Europe compared to other regions. Most studies published since 2007 report that self-stigma is a particular concern for a specific subgroup of patients. This subgroup is characterized by singleness, unemployment, repeated psychiatric hospitalizations and is also probably more depressed, but data are imprecise to confirm this point. We identified important other missing factors that should be explored to improve the effectiveness of public policies and personalized interventions to reduce self-stigma. Importantly, classical illness severity indices (psychotic severity, age at illness onset, illness duration) and sociodemographic variables (age, sex and education) were not associated with self-stigma, moderating previous findings.