Hospital service utilisation of people previously hospitalised with different subtypes of psychotic disorder: A record linkage study

Author:

Srasuebkul Preeyaporn1,Walker Adrian R1ORCID,Cvejic Rachael C1ORCID,Trollor Julian N12ORCID,Lappin Julia M3ORCID,Curtis Jackie3ORCID,Samaras Katherine45,Dean Kimberlie36ORCID,Ward Philip B37,Reppermund Simone12ORCID

Affiliation:

1. Department of Developmental Disability Neuropsychiatry, Discipline of Psychiatry and Mental Health, UNSW Sydney, Randwick, NSW, Australia

2. Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, UNSW Sydney, Randwick, NSW, Australia

3. Discipline of Psychiatry and Mental Health, UNSW Sydney, Randwick, NSW, Australia

4. Department of Endocrinology, St Vincent’s Hospital Sydney, Darlinghurst, NSW, Australia

5. Adipose Biology, Clinical Obesity and Nutrition Laboratory, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia

6. Justice Health and Forensic Mental Health Network, Matraville, NSW, Australia

7. Schizophrenia Research Unit, Ingham Institute of Applied Medical Research, Liverpool, NSW, Australia

Abstract

Objective: Little research has examined the physical and mental comorbidities, and health service use patterns, of people diagnosed with psychotic disorder subtypes other than schizophrenia spectrum disorders. This study aims to examine the physical and mental comorbidities, and subsequent hospital service use patterns, of individuals previously hospitalised with various psychotic disorder subtypes using linked health service data. Methods: We included individuals hospitalised with a psychotic disorder in New South Wales, Australia, between 1 July 2002 and 31 December 2014 (N = 63,110). We examined the demographic profile of the cohort and rates of subsequent acute hospital care and ambulatory mental health service use. We compared the rates of subsequent hospital admissions, emergency department presentations and ambulatory mental health treatment days of people hospitalised with different psychotic disorder subtypes to people hospitalised with schizophrenia spectrum disorders using Poisson regression. Results: People most recently hospitalised with mood/affective disorders and psychotic symptoms had a higher rate of subsequent hospital admissions than those most recently hospitalised with schizophrenia spectrum and delusional disorders (adjusted incident rate ratio = 1.06; 95% confidence interval = [1.02, 1.10]), while people most recently hospitalised with drug-induced and other organic (adjusted incident rate ratio = 1.19; 95% confidence interval = [1.12, 1.27]) and acute psychotic disorders (adjusted incident rate ratio = 1.10; 95% confidence interval = [1.03, 1.18]) had more subsequent emergency department presentations than those most recently hospitalised with schizophrenia spectrum and delusional disorders. All three groups had fewer subsequent mental health ambulatory days than those most recently hospitalised with schizophrenia spectrum and delusional disorders (adjusted incident rate ratios = 0.85–0.91). Conclusion: The health profiles and subsequent hospital service use patterns of people previously hospitalised with different psychotic disorder subtypes are heterogeneous, and research is needed to develop targeted health policies to meet their specific health needs.

Publisher

SAGE Publications

Subject

Psychiatry and Mental health,General Medicine

Reference31 articles.

1. Psychiatric Comorbidities and Schizophrenia

2. A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation

3. Commonwealth of Australia (2013) Socio-Economic Indexes for areas (SEIFA), 2011 Available at: https://www.ausstats.abs.gov.au/ausstats/subscriber.nsf/0/22CEDA8038AF7A0DCA257B3B00116E34/$File/2033.0.55.001%20seifa%202011%20technical%20paper.pdf (accessed 21 January 2021).

4. The health service contact patterns of people with psychotic and non-psychotic forms of severe mental illness in New South Wales, Australia: A record-linkage study

5. Symptom remission at 12-weeks strongly predicts long-term recovery from the first episode of psychosis

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