Comparing outcomes following a first episode of psychosis in autistic and non-autistic people: a clinical retrospective cohort study
Ward, J. H.; Lewis, J. R.; Weir, E. M.; Ford, T. J.; Cardinal, R. N.
Show abstract
Background. There is growing evidence to suggest a clinically significant overlap between autism spectrum conditions and psychotic disorders. Preliminary evidence suggest that autism diagnoses and autistic traits are associated with poorer outcomes following a first episode of psychosis. Methods. This study used data from the Cambridgeshire and Peterborough National Health Service Foundation Trust (CPFT) Research Database to examine clinical outcomes in autistic and non-autistic people following a first episode of psychosis. We describe patterns of community and inpatient service use, using descriptive statistics , Cox regression, binomial logistic regression, and negative binomial regression. Results. Data from 282 autistic and 7127 non-autistic people with psychosis were analysed. Autism was associated with greater community service use (use of mental health emergency lines, mental health detentions by police), as well as greater likelihood of psychiatric hospital admission (adjusted hazard ratio 1.34, 95% confidence interval 1.05 -1.7, p<0.05) and longer inpatient stays (median 111 versus 48 days, p<0.0001). Learning disability played a significant role in the utilisation of community and inpatient services, with lower rates of community service use but longer inpatient admissions. Conclusions. This study indicates a differing pattern of service use between autistic and non-autistic people following psychosis that warrants further research into how best to support autistic people with psychosis.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Associations between antipsychotic use, substance use and relapse risks in patients with schizophrenia - real-world evidence from two national cohorts 93%
- Analysis of diagnosis instability in electronic health records reveals diverse disease trajectories of severe mental illness 93%
- Prescribing of antipsychotics for people diagnosed with severe mental illness in UK primary care: A 20-year investigation of who receives treatment, with which agents, and at what doses 92%
Similar papers in this journal
- Short-term functional outcome in psychotic patients. Results of the Turku Early Psychosis Study (TEPS) 94%
- Current state of the evidence on community treatments for people with complex emotional needs: a scoping review 91%
- Inequalities in children’s mental health care: analysis of routinely collected data on prescribing and referrals to secondary care 91%
Similar papers in this journal
- Jumping To Conclusions, General Intelligence, And Psychosis Liability: Findings From The Multicentric EU-GEI Case-Control Study 93%
- Developmental Influences on Symptom Expression in Antipsychotic-Naive First-Episode Psychosis 92%
- A Systematic Review on Psychological and Biological Mediators Between Adversity and Psychosis: Potential Targets for Treatment 92%
Similar papers in this journal
- Can we detect the undetected? Comparing the prodromes of individuals with first episode psychosis detected and undetected by clinical high risk for psychosis services: an electronic health record study 96%
- Validation of an ICD-code-based case definition for psychotic illness across three health systems 95%
- Severe outcomes and length of stay among people with schizophrenia hospitalized for COVID-19: A population-based retrospective cohort study 93%
Similar papers in this journal
- Clinical Characteristics Associated with Functional Seizures in Individuals with Psychosis 95%
- Childhood Inflammatory Markers and Risks for Psychosis and Depression at Age 24: examination of temporality and specificity of association in a population-based prospective birth cohort 93%
- Characterizing the Relationship between Personality Dimensions and Psychosis-Specific Clinical Characteristics 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.