There are ethnic differences, including differences related to indigeneity, in the incidence of first episode psychosis (FEP) and pathways into care, but research on ethnic disparities in outcomes following FEP is limited.

In this study we examined social and health outcomes following FEP diagnosis for a cohort of Māori (Indigenous people of New Zealand) and non-Māori (non-Indigenous) young people. We have focused on understanding the opportunities for better outcomes for Māori by examining the relative advantage of non-Māori with FEP.

Statistics New Zealand's Integrated Data Infrastructure was accessed to describe mental health and social service interactions and outcomes for a retrospective FEP cohort comprising 918 young Māori and 1275 non-Māori aged 13 to 25 at diagnosis. Logistic regression models were used to examine whether social outcomes including employment, benefit receipt, education and justice involvement in year 5 differed by indigeneity.

Non-Māori young people were more likely than Māori to have positive outcomes in the fifth year after FEP diagnosis, including higher levels of employment and income, and lower rates of benefit receipt and criminal justice system involvement. These patterns were seen across diagnostic groups, and for both those receiving ongoing mental healthcare and those who were not.

Non-Māori experience relative advantage in outcomes 5 years after FEP diagnosis. Indigenous-based social disparities following FEP urgently require a response from the health, education, employment, justice and political systems to avoid perpetuating these inequities, alongside efforts to address the disadvantages faced by all young people with FEP.

Research shows persistent ethnic inequities in mental health experiences and outcomes, with a higher incidence of illnesses among minoritised ethnic groups. People with psychosis have an increased risk of multiple long-term conditions (MLTC; multimorbidity). However, there is limited research regarding ethnic inequities in multimorbidity in people with psychosis. This study investigates ethnic inequities in physical health multimorbidity in a cohort of people with psychosis.

In this retrospective cohort study, using the Clinical Records Interactive Search (CRIS) system, we identified service-users of the South London and Maudsley NHS Trust with a schizophrenia spectrum disorder, and then additional diagnoses of diabetes, hypertension, low blood pressure, overweight or obesity and rheumatoid arthritis. Logistic and multinomial logistic regressions were used to investigate ethnic inequities in odds of multimorbidity (psychosis plus one physical health condition), and multimorbidity severity (having one or two physical health conditions, or three or more conditions), compared with no additional health conditions (no multimorbidity), respectively. The regression models adjusted for age and duration of care and investigated the influence of gender and area-level deprivation.

On a sample of 20 800 service-users with psychosis, aged 13–65, ethnic differences were observed in the odds for multimorbidity. Controlling for sociodemographic factors and duration of care, compared to White British people, higher odds of multimorbidity were found for people of Black African [adjusted Odds Ratio = 1.41, 95% Confidence Intervals (1.23–1.56)], Black Caribbean [aOR = 1.79, 95% CI (1.58–2.03)] and Black British [aOR = 1.64, 95% CI (1.49–1.81)] ethnicity. Reduced odds were observed among people of Chinese [aOR = 0.61, 95% CI (0.43–0.88)] and Other ethnic [aOR = 0.67, 95% CI (0.59–0.76)] backgrounds. Increased odds of severe multimorbidity (three or more physical health conditions) were also observed for people of any Black background.

Ethnic inequities are observed for multimorbidity among people with psychosis. Further research is needed to understand the aetiology and impact of these inequities. These findings support the provision of integrated health care interventions and public health preventive policies and actions.