Exploring the relationship between baseline health-related quality of life (AQoL-4D utility values) and mortality during long-term follow-up for people living with a psychotic disorder.

Holistic summary measures of health-related quality of life (HRQoL) could provide useful information for screening and/or monitoring high-risk individuals. This study explores the association of baseline HRQoL (AQoL-4D values) with death from natural and external causes (such as suicide, overdose, or accident) in a prevalent cohort over a mean follow-up of 6.9-years. Baseline data were obtained from the 2010 National Survey of High Impact Psychosis (SHIP) and its 2012 sister survey, the North-Metro Survey of High Impact Psychosis. Follow-up data were obtained from the National Deaths Index (to January 18, 2018). Associations between baseline HRQoL (and the 12 individual items of the AQoL-4D) and deaths by cause, stratified by sex were investigated using multivariable Cox Proportional Hazards models, with age used as the time scale. Overall, 7.6 % of the cohort (137 of 1805 people meeting ICD-10 criteria for a psychotic disorder and agreeing to linkage) died, 4.2 % from natural causes (primarily heart disease and cancer) and 3.4 % from external causes. There was an association between low HRQoL (AQoL-4D ≤ 0.20) and mortality due to natural causes, primarily driven by difficulties with mobility and vision in men, and difficulty with household tasks in women. No significant associations were obtained between AQoL-4D utilities and death from external causes. Sleep problems were associated with death from external causes for men only. As people with psychotic disorders experience multiple causes of death with complex associations which are difficult to quantify, monitoring for low HRQoL using the AQoL-4D could be a useful indicator of increased mortality risk in this population. TWITTER: Monitoring for low HRQoL (AQoL-4D ≤ 0.20) could be a useful indicator of increased mortality risk from natural causes in people living with psychotic disorders, with differing but specific items of relevance to men and women.

Development and initial validation of a multivariable predictive Early Adversity Scale for Schizophrenia (EAS-Sz) using register data to quantify environmental risk for adult schizophrenia diagnosis after childhood exposure to adversity.

BACKGROUND: Additional to a child's genetic inheritance, environmental exposures are associated with schizophrenia. Many are broadly described as childhood adversity; modelling the combined impact of these is complex. We aimed to develop and validate a scale on childhood adversity, independent of genetic and other environmental liabilities, for use in schizophrenia risk analysis models, using data from cross-linked electronic health and social services registers. METHOD: A cohort of N = 428 970 Western Australian children born 1980-2001 was partitioned into three samples: scale development sample (N = 171 588), and two scale validation samples (each N = 128 691). Measures of adversity were defined before a child's 10th birthday from five domains: discontinuity in parenting, family functioning, family structure, area-level socioeconomic/demographic environment and family-level sociodemographic status. Using Cox proportional hazards modelling of follow-up time from 10th birthday to schizophrenia diagnosis or censorship, weighted combinations of measures were firstly developed into scales for each domain, then combined into a final global scale. Discrimination and calibration performance were validated using Harrell's C and graphical assessment respectively. RESULTS: A weighted combination of 42 measures of childhood adversity was derived from the development sample. Independent application to identical measures in validation samples produced Harrell's Concordance statistics of 0.656 and 0.624. Average predicted time to diagnosis curves corresponded with 95% CI limits of observed Kaplan-Meier curves in five prognostic categories. CONCLUSIONS: Our Early Adversity Scale for Schizophrenia (EAS-Sz), the first using routinely collected register data, predicts schizophrenia diagnosis above chance, and has potential to help untangle contributions of genetic and environmental liability to schizophrenia risk.

Patterns of psychiatric admission in Australian pregnant and childbearing women.

PURPOSE: The early postnatal period is a time of increased risk for psychiatric admission. However, there is scope to further examine if this increase in risk extends to the entire perinatal period (pregnancy and first postnatal year), and how it compares to admission outside of the perinatal period. METHODS: Data were linked across birth and hospital admission registers from July 2000 to December 2009. The study cohort, consisting of all pregnant and childbearing women with a psychiatric history, was divided into two groups: case women (at least one perinatal principal psychiatric admission in the study period) (38%) and comparison women (no perinatal principal psychiatric admissions) (62%). Outcomes were admission rate and length of stay adjusted for diagnosis, socio-demographic factors and timing of admission. RESULTS: Antenatal and postnatal admissions rates were both higher than non-perinatal admission rates for case women for all diagnoses. There was little evidence that women with perinatal admissions were at an increased risk of admissions at other times. Socially disadvantaged women had significantly fewer and shorter admissions than their respective counterparts. CONCLUSIONS: The entire perinatal period is a time of increased risk for admission across the range of psychiatric disorders, compared to other times in a woman's childbearing years. Reduced admission rate and length of stay for socially disadvantaged women suggest lack of equity of access highlighting the importance of national perinatal mental health policy initiatives inclusive of disadvantaged groups.

Mental health recovery and physical health outcomes in psychotic illness: Longitudinal data from the Western Australian survey of high impact psychosis catchments.

OBJECTIVE: There is a dearth of longitudinal data on outcomes in prevalent cases of psychotic illness across a range of ages and levels of chronicity. Our aim was to describe changes over time in mental and physical health outcomes, as well as patterns of service utilisation that may have influenced outcomes, in a representative prevalence sample of 641 Western Australians with a psychotic illness who, at Wave 1, were part of the National Survey of High Impact Psychosis. METHODS: In Wave 1 (2010, 2012), a two-phase design was employed to ensure representativeness: Phase 1 psychosis screening took place in public mental health and non-government organisation services, while, in Phase 2, a randomised sample was interviewed. In Wave 2, 380/641 (59%) of participants were re-interviewed, with interviews staggered between 2013 and 2016 (follow-up time: 2.3-5.6 years). Data collection covered mental and physical health, functioning, cognition, social circumstances and service utilisation. Mental health outcomes were categorised as symptomatic, functional and personal recovery. Physical health outcomes covered metabolic syndrome and its component criteria. RESULTS: In mental health, there were encouraging improvements in symptom profiles, variable change in functional recovery and some positive findings for personal recovery, but not quality of life. Participants ranked physical health second among challenges. Metabolic syndrome had increased significantly. While treatment for underlying cardiovascular risk conditions had improved, rates of intervention were still very low. More people were accessing general practices and more frequently, but there were sharp and significant declines in access to community rehabilitation, psychosocial interventions and case management. CONCLUSION: Although we observed some positive outcomes over time, the sharp decline in access to evidence-based interventions such as community rehabilitation, psychosocial interventions and case management is of great concern and augurs poorly for recovery-oriented practice. Changes in service utilisation appear to have influenced the patterns found.

Parsing components of risk of premature mortality in the children of mothers with severe mental illness.

INTRODUCTION: Children of mothers with severe mental illness are at increased risk of premature death including in infancy and early childhood. Importantly, these children are also more likely to be exposed to adverse socio-demographic risk factors and serious obstetric complications which, of themselves, may increase risk for childhood mortality. We examined mortality outcome at different ages up to 5 years taking account of these risks. METHOD: We used linked data across Western Australian whole-population psychiatric, inpatient, death, and midwives' registers to identify 15,486 births to mothers with severe mental illness and 452,459 births to mothers with no mental illness. Multivariable models were adjusted for exposure to adverse socio-demographic risk factors and serious obstetric complications. RESULTS: Overall risk of premature death was increased amongst children of mothers with severe mental illness (2.3%, 354 deaths) compared with children of mothers with no mental illness (1.4%, 6523 deaths); the same was true for specific risk of stillbirth, neonatal, post­neonatal and early childhood deaths. Risk was substantially attenuated after adjustment for adverse socio-demographic exposures, and further still after adjustment for exposure to serious obstetric complications. We observed no effects for the timing of maternal illness diagnosis. CONCLUSIONS: To minimise the risk of premature mortality in the children of mothers with severe mental illness, priority should be given to the prompt diagnosis of maternal mental illness with targeted delivery of high quality antenatal and psychiatric care, as well as social and structural supports for affected families that continue after birth.

Impact of substance use and other risk factor exposures on conviction rates by people with a psychotic illness and other mental disorders.

PURPOSE: To examine the impact of substance use and other risk factors on conviction rates in people with a psychotic illness (PI) and other mental disorders (OMD) compared to those with no mental illness (NMI). METHODS: This research is part of a longitudinal record-linked whole-population study of 467,945 children born in Western Australia (WA) between 1980 and 2001. This cohort was identified through linkages between the WA psychiatric case register, WA corrective services data and other state-wide registers. We assessed 184,147 individuals born during 1983-1991 to explore the impact of exposure to a variety of risk factors on conviction rates. RESULTS: People with PI and OMD had higher conviction rates than those with NMI, with unadjusted incidence rate ratios (IRR) of 3.98 (95% CI 3.67-4.32) for PI and 3.18 (95% CI 3.03-3.34) for OMD. Adjusting for substance use reduced the rates by 60% in PI and 30% in OMD: IRRs 1.59 (95% CI 1.45-1.74) and 2.24 (2.12-2.37), respectively. Minimal change was seen when adjusting for other potential risk factors (including socio-demographics, victimisation and parental offending), with adjusted IRRs 1.58 (95% CI 1.43-1.74) for PI and 1.90 (95% CI 1.80-2.02) for OMD. CONCLUSIONS: Our analysis shows people with a mental illness have higher rates of conviction than those with NMI. Substance use has a major impact on this rate. Results suggest the need for a greater investment in programs addressing the issue of comorbid substance use with a view to reduce the rate of convictions in this population.