Investigating inequalities in patient outcomes for first-episode psychosis

Nicholls, Dasha ORCID: https://orcid.org/0000-0001-7257-6605, Budd, Jobie, Nunn, Philippa, French, Paul ORCID: https://orcid.org/0000-0003-4300-387X, Smith, Jo, Gupta, Veenu, Holdship, Jonathan and Quirk, Alan (2024) Investigating inequalities in patient outcomes for first-episode psychosis. The British Journal of Psychiatry. ISSN 0007-1250

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Abstract

Understanding inequalities in outcomes between demographic groups is a necessary step in addressing them in clinical care. Inequalities in treatment uptake between demographic groups may explain disparities in outcomes in people with first-episode psychosis (FEP). To investigate disparities between broad demographic groups in symptomatic improvement in patients with FEP and their relationship to treatment uptake. We used data from 6813 patients from the 2021-2022 National Clinical Audit of Psychosis data-set. Data were grouped by category type to obtain mean outcomes before adjustment to see whether disparities in outcomes remained after differences in treatment uptake had been accounted for. After matching, the average effect of each demographic variable in terms of outcome change was calculated. Moderator effects on specific treatments were investigated using interaction terms in a regression model. Observational results showed that patients aged 18-24 years were less likely to improve in outcome, unless adjusted for intervention uptake. Patients classified as Black and Black British were less likely to improve in outcome (moderation effect 0.04, 95% CI 0-0.07) after adjusting for treatment take-up and demographic factors. Regression analysis showed the general positive effect of supported employment interventions in improving outcomes (coefficient -0.13, 95% CI -0.07 to -0.18, < 0.001), and moderator analysis suggested targeting particular groups for interventions. Inequalities in treatment uptake and psychotic symptom outcome of FEP by social and demographic factors require monitoring over time. Our analysis provides a framework for monitoring health inequalities across national clinical audits in the UK.