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Background Vaccine-preventable conditions cause preventable illness and may increase mortality in people living with mental illness. We examined how risks of hospitalisation for a wide range of vaccine-preventable conditions varied by age and sex among mental health (MH) service users. Methods Linked population data from New South Wales (NSW), Australia were used to identify vaccine-preventable hospitalisations (VPH) for 19 conditions from 2015 to 2020. Adult MH service users (n = 418 915) were compared to other NSW residents using incidence rates standardised for age, sex and socioeconomic status. Secondary analyses examined admissions for COVID-19 to September 2021. Results We identified 94 180 VPH of which 41% were influenza, 33% hepatitis B and 10% herpes zoster. MH service users had more VPH admissions [adjusted incidence rate ratio (aIRR) 3.2, 95% CI 3.1–3.3]. Relative risks were highest for hepatitis (aIRR 4.4, 95% CI 4.3–4.6), but elevated for all conditions including COVID-19 (aIRR 2.0, 95% CI 1.9–2.2). MH service users had a mean age of 9 years younger than other NSW residents at first VPH admission, with the largest age gap for vaccine-preventable pneumonias (11–13 years younger). The highest relative risk of VPH was among MH service users aged 45–65. Conclusions MH service users have increased risk of hospitalisation for many vaccine-preventable conditions. This may be due to reduced vaccination rates, more severe illness requiring hospitalisation, greater exposure to infectious conditions or other factors. People living with mental illness should be prioritised in vaccination strategies.

Background and Objectives: Substance use disorders co-occurring with other mental health disorders are common and harmful. Clinical guidelines often recommend substance use screening and brief intervention though evidence about screening practice in mental health services is limited. This systematic review of routine clinical practice in adult mental health services aims to identify (a) proportions of screening and brief intervention, (b) how they are practised and (c) their outcomes. Methods: We searched MEDLINE, PsycINFO and Embase and relevant Cochrane databases for articles until 31 July 2021 reporting on adults in English, regardless of geographical location. Backward snowball methods were used to locate additional articles. Screening, brief intervention and mental health services were defined. Data were extracted and variables compared related to setting, period, patient cohort, substances routine substance use disorder care pathways, and study quality was assessed. Results: We identified 17 articles reporting routine screening within adult mental health services. Studies in community settings mainly reported on screening for alcohol and other substance use disorders, while studies from inpatient settings reported mainly on tobacco. There was marked variation in methods and screening proportions. Only two studies reported on brief intervention. Conclusion: This systematic review shows marked variation in mental health services routine screening practices with early focus on alcohol but more recently tobacco screening. We suggest approaches to enhancing implementation of screening and brief intervention in routine care, particularly using electronic health records.

Aims People with severe mental illness (SMI) have a greater risk of dying from colorectal cancer (CRC), even though the incidence is lower or similar to that of the general population This pattern is unlikely to be solely explained by lifestyle factors, while the role of differences in cancer healthcare access or treatment is uncertain Methods We undertook a systematic review and meta-analysis on access to guideline-appropriate care following CRC diagnosis in people with SMI including the receipt of surgery, chemo- or radiotherapy. We searched for full-text articles indexed by PubMed, EMBASE, PsychInfo and CINAHL that compared CRC treatment in those with and without pre-existing SMI (schizophrenia, schizoaffective, bipolar and major affective disorders). Designs included cohort or population-based case–control designs. Results There were ten studies (sample size = 3501–591 561). People with SMI had a reduced likelihood of surgery (RR = 0.90, 95% CI 0.92–0.97; p = 0.005; k = 4). Meta-analyses were not possible for the other outcomes but in results from individual studies, people with SMI were less likely to receive radiotherapy, chemotherapy or sphincter-sparing procedures. The disparity in care was greatest for those who had been psychiatric inpatients. Conclusions People with SMI, including both psychotic and affective disorders, receive less CRC care than the general population. This might contribute to higher case-fatality rates for an illness where the incidence is no higher than that of the general population. The reasons for this require further investigation, as does the extent to which differences in treatment access or quality contribute to excess CRC mortality in people with SMI.

With already wide disparities in physical health and life expectancy, COVID-19 presents people with mental illness with additional threats to their health: decreased access to health services, increased social isolation, and increased socio-economic disadvantage. Each of these factors has exacerbated the risk of poor health and early death for people with mental illness post-COVID-19. Unless effective primary care and preventative health responses are implemented, the physical illness epidemic for this group will increase post the COVID-19 pandemic. This perspective paper briefly reviews the literature on the impact of COVID-19 on service access, social isolation, and social disadvantage and their combined impact on physical health, particularly cancer, respiratory diseases, heart disease, smoking, and infectious diseases. The much-overlooked role of poor physical health on suicidality is also discussed. The potential impact of public health interventions is modelled based on Australian incidence data and current research on the percentage of early deaths of people living with mental illnesses that are preventable. Building on the lessons arising from services’ response to COVID-19, such as the importance of ensuring access to preventive, screening, and primary care services, priority recommendations for consideration by public health practitioners and policymakers are presented.

Objective: We aimed to (i) describe the 10-year trend in admissions associated with amphetamine use, (ii) describe the distinguishing characteristics of people with an amphetamine-related diagnosis (ARD) and (iii) examine predictors of repeated admissions among people with an ARD. Method: We conducted a retrospective cohort study. We (i) counted the number of admissions with an ARD and evaluated any trends, and using univariate and multivariate tests, (ii) compared those who had an ARD with those who did not and (iii) compared those with an ARD who had one, two to four, and five or more admissions. Results: Admissions associated with amphetamine use increased between 2009 and 2015. Those with an ARD had significant differences in demographics, diagnosis and pattern of service use relative to those without an ARD. Amongst those with an ARD, a higher number of admissions was positively associated with a schizophrenia diagnosis but inversely associated with a transient psychotic disorder diagnosis. Conclusions: The increase in admissions associated with amphetamine use indicates that people with an ARD posed major demands on inpatient services. Targeting amphetamine treatment to those with psychotic disorders, both schizophrenia and transient psychotic disorders, may reduce hospital-related costs and re-admissions.

Objective: While psychosis is considered a risk factor for offending, little is reported about mental health service utilisation in offenders with psychosis and its relationship with reoffending. We examined the association between contact with mental health services and reoffending in those diagnosed with psychosis. Methods: We linked health and offending records in New South Wales (Australia) and identified all individuals with a diagnosis of psychosis and a subsequent offence resulting in a non-custodial sentence between 2001 and 2012. We examined the incidence and risk factors for reoffending, and time to reoffending between 2001 and 2015 using Cox regression and Kaplan–Meier survival methods. We specifically examined the association between clinical contact with community mental health services following the index offence and reoffending. Results: Of the 7393 offenders with psychosis, 70% had clinical contact and 49% reoffended. There was a linear relationship between an increased number of clinical contacts and reduced risk of reoffending: those with no clinical contact had more than a fivefold risk of reoffending compared to those with the highest number of contacts (adjusted hazard ratio = 5.78, 95% confidence interval = [5.04, 6.62]). Offenders with substance-related psychosis and those convicted of non-violent offences had fewer clinical contacts and higher rates of reoffending when compared with controls (adjusted hazard ratio = 1.29, 95% confidence interval = [1.13, 1.47] and adjusted hazard ratio = 1.26, 95% confidence interval = [1.18, 1.35], respectively). Conclusion: This study supports an association between more frequent mental health service use and reduced risk of reoffending. Efforts to enhance mental health service utilisation in those with psychosis who are at a higher risk of reoffending should be promoted.

AimTo estimate the length of stay distributions of hospitalised COVID-19 cases during a mixed Omicron-Delta epidemic in New South Wales, Australia (16 Dec 2021 – 7 Feb 2022), and compare these to estimates produced over a Delta-only epidemic in the same population (1 Jul 2021 – 15 Dec 2022).BackgroundThe distribution of the duration that clinical cases of COVID-19 occupy hospital beds (the ‘length of stay’) is a key factor in determining how incident caseloads translate into health system burden as measured through ward and ICU occupancy.ResultsUsing data on the hospital stays of 19,574 individuals, we performed a competing-risk survival analysis of COVID-19 clinical progression. During the mixed Omicron-Delta epidemic, we found that the mean length of stay for individuals who were discharged directly from ward without an ICU stay was, for age groups 0-39, 40-69 and 70+ respectively, 2.16 (95% CI: 2.12–2.21), 3.93 (95% CI: 3.78–4.07) and 7.61 days (95% CI: 7.31–8.01), compared to 3.60 (95% CI: 3.48–3.81), 5.78 (95% CI: 5.59–5.99) and 12.31 days (95% CI: 11.75–12.95) across the preceding Delta epidemic (15 Jul 2021 – 15 Dec 2021). We also considered data on the stays of individuals within the Hunter New England Local Health District, where it was reported that Omicron was the only circulating variant, and found mean ward-to-discharge length of stays of 2.05 (95% CI: 1.80–2.30), 2.92 (95% CI: 2.50–3.67) and 6.02 days (95% CI: 4.91–7.01) for the same age groups.ConclusionsHospital length of stay was substantially reduced across all clinical pathways during a mixed Omicron-Delta epidemic compared to a prior Delta epidemic. These changes in length of stay have contributed to lessened health system burden despite greatly increased infection burden and should be considered in future planning of response to the COVID-19 pandemic in Australia and internationally.

This population-based case-control study examines the association between psychosis and criminal convictions in New South Wales (NSW), Australia, using data from several health and offending administrative data collections. Cases were individuals diagnosed with psychosis between 2001 and 2012 ( n = 86,461). For each case, two age- and sex-matched controls with no diagnosis of psychosis were selected. Criminal convictions were identified using the NSW Reoffending Database. Cases were approximately 5 times more likely to offend compared with controls, adjusted odds ratio (aOR) = 4.68, 95% confidence interval (CI) = [4.55, 4.81], and accounted for 10% of all criminal convictions in NSW between 2001 and 2015. The prevalence of at least one criminal conviction was 30% among cases compared with 6% among controls. The results from this study confirm previous work regarding the association between psychosis and criminal convictions. More work is needed to better articulate the mechanisms for this association to enable prevention strategies to be developed.

Individuals with psychosis are over-represented in the criminal justice system and, as a group, are at elevated risk of re-offending. Recent studies have observed an association between increased contacts with mental health services and reduced re-offending, as well as reduced risk of re-offending in those who are ordered to mental health treatment rather than punitive sanctions. In furthering this work, this study examines the effect of disengagement from mental health treatment on probability of re-offence in offenders with psychosis over time. Data linkage was conducted with judicial, health and mortality datasets from New South Wales, Australia (2001–2015). The study population included 4960 offenders with psychosis who received non-custodial sentences and engaged with community-based mental health treatment. Risk factors for leaving treatment and/or reconviction were examined using multivariate cox regression. Further, a multi-state model was used to observe the probabilities associated with individuals moving between three states: conviction, disengagement from mental health treatment and subsequent re-conviction. A threefold increase was observed in the risk of re-offending for those who disengaged from treatment compared to those who did not (aHR = 2.76, 95% CI 1.65–4.62, p

Introduction: Self-harm presentations in children and young people have increased internationally over the last decade. The COVID-19 pandemic has the potential to worsen these trends. Objective: To describe trends in emergency department self-harm or suicidal ideation presentations for children and young people in New South Wales before and since the COVID-19 pandemic. Methods: We studied presentations for self-harm or suicidal ideation by 10- to 24-year-olds to New South Wales emergency departments, using interrupted time series analysis to compare annualised growth before COVID (2015 to February 2020) and since COVID (March 2020 to June 2021). Subgroup analyses compared age group, gender, triage category, rurality and disadvantage. Time series decomposition via generalised additive models identified long-term, seasonal and short-term trends. Results: Self-harm or suicidal ideation presentations by young people in New South Wales increased by 8.4% per annum pre-COVID. Growth accelerated since COVID, to 19.2% per annum, primarily due to increased presentations by females aged 13–17 years (47.1% per annum since COVID, from 290 per 10,000 in 2019 to 466 per 10,000 in 2021). Presentations in males aged 10–24 years did not increase since COVID (105.4 per 10,000 in 2019, 109.8 per 10,000 in 2021) despite growing 9.9% per annum before COVID. Presentation rates accelerated significantly in socio-economically advantaged areas. Presentations in children and adolescents were strongly linked to school semesters. Conclusion: Emergency department self-harm or suicidal ideation presentations by New South Wales young people grew steadily before COVID. Understanding the sustained increase remains a priority. Growth has increased since COVID particularly for adolescent females, but not among adolescent males. Surprisingly, the largest post-COVID increases in annual growth occurred in socio-economically advantaged and urban regions. The COVID-19 pandemic appears to have added new challenges, particularly in females in the developmentally critical early adolescent and teenage years.

Objective:The objective of this project was to develop a set of patient-reported outcome measures for adolescents and adults who meet criteria for a psychotic disorder.Methods:A research team and an international consensus working group, including service users, clinicians, and researchers, worked together in an iterative process by using a modified Delphi consensus technique that included videoconferencing calls, online surveys, and focus groups. The research team conducted systematic literature searches to identify outcomes, outcome measures, and risk adjustment factors. After identifying outcomes important to service users, the consensus working group selected outcome measures, risk adjustment factors, and the final set of outcome measures. International stakeholder groups consisting of >100 professionals and service users reviewed and commented on the final set.Results:The consensus working group identified four outcome domains: symptoms, recovery, functioning, and treatment. The domains encompassed 14 outcomes of importance to service users. The research team identified 131 measures from the literature. The consensus working group selected nine measures in an outcome set that takes approximately 35 minutes to complete.Conclusions:A set of patient-reported outcome measures for use in routine clinical practice was identified. The set is free to service users, is available in at least two languages, and reflects outcomes important to users. Clinicians can use the set to improve clinical decision making, and administrators and researchers can use it to learn from comparing program outcomes.

Focus of Presentation This presentation describes methods and findings from the NSW Mental Health Living Longer (MHLL) Program. MHLL involves population-wide data linkage that combines records from nine NSW data collections. Our collection includes over 120 million records for more than nine million people. This presentation focuses on the use of linked data to develop indicators to support reporting on premature cancer mortality for people living with mental illness. We will use these indicators to identify variation in care, assess areas for targeted intervention, and evaluate the effectiveness of research translation into safer and more effective care. Findings This work will be finalised by August 2020. We will use regression techniques to examine predictors of participation in breast and cervical cancer screening for women who use mental health services in NSW. These results will be used to assess geographical variation in risk-adjusted screening participation rates. We will also present methods and results for measuring incidence and stage at presentation, as well as 12 month and 5 year survival for women who use mental health services compared to other women in NSW. Conclusions/Implications If cancer survival is a key measure of the effectiveness of healthcare systems, then reduced survival in people with mental health problems reflects less effective health care. Improving screening and treatment services is likely to be the most important strategy for reducing the cancer mortality gap for people with mental illness. Key messages Health systems must move from recognition to action if we are to reduce premature cancer mortality in people living with mental illness.

Background: The use of amphetamines is a global public health concern. We summarise global data on use of amphetamines and mental health outcomes. Methods: A systematic review and meta-analysis (CRD 42017081893). We searched Medline, EMBASE, PsycInfo for methamphetamine or amphetamine combined with psychosis, violence, suicidality, depression or anxiety. Included studies were human empirical cross-sectional surveys, case-control studies, cohort studies and randomised controlled trials that assessed the association between methamphetamine and one of the mental health outcomes. Random effects meta-analysis was used to pool results for any use of amphetamines and amphetamine use disorders. Findings: 149 studies were eligible and 59 were included in meta-analyses. There was significant heterogeneity in effects. Evidence came mostly from cross-sectional studies. Any use of amphetamines was associated with higher odds of psychosis (odds ratio [OR] = 2.0, 95%CI 1.3–3.3), violence (OR = 2.2, 95%CI 1.2–4.1; adjusted OR [AOR] = 1.4, 95%CI 0.8–2.4), suicidality OR = 4.4, 95%CI 2.4–8.2; AOR = 1.7, 95%CI 1.0–2.9) and depression (OR = 1.6, 95%CI 1.1–2.2; AOR = 1.3, 95%CI 1.2–1.4). Having an amphetamine use disorder was associated with higher odds of psychosis (OR = 3.0, 95%CI 1.9–4.8; AOR = 2.4, 95%CI 1.6–3.5), violence (OR = 6.2, 95%CI 3.1–12.3), and suicidality (OR = 2.3, 95%CI 1.8–2.9; AOR = 1.5, 95%CI 1.3–1.8). Interpretation: Methamphetamine use is an important risk factor for poor mental health. High quality population-level studies are needed to more accurately quantify this risk. Clinical responses to methamphetamine use need to address mental health harms. Keywords: Amphetamines, Anxiety, Depression, Mental health, Methamphetamine, Psychosis, Substance use, Suicidality, Violence

Purpose Records of antidepressant dispensings are often used as a surrogate measure of depression. However, as antidepressants are frequently prescribed for indications other than depression, this is likely to result in misclassification. This study aimed to develop a predictive algorithm that identifies patients using antidepressants for the treatment of depression. Methods Pharmaceutical Benefits Scheme (PBS) and Medicare Benefits Schedule (MBS) claims data were linked to follow-up questionnaires (completed in 2012-2013) for participants of the 45 and Up Study-a cohort study of residents of New South Wales, Australia, aged 45 years and older. The sample composed participants who were dispensed an antidepressant in the 30 days prior to questionnaire completion (n = 3162). An algorithm based on patient characteristics, pharmaceutical dispensings, and claims for mental health services was built using group-lasso interaction network (glinternet), with self-reported receipt of treatment for depression as the outcome. The predictive performance of the algorithm was assessed via bootstrap resampling. Results The algorithm composes 15 main effects and 11 interactions, with type of antidepressant dispensed and claims for mental health services the strongest predictors. The ability of the algorithm to discriminate between antidepressant users with and without depression was 0.73. At a predicted probability cut-off of 0.6, specificity was 93.8% and sensitivity was 23.6%. Conclusions Using this algorithm with a high probability cut-off yields high specificity and facilitates the exclusion of individuals using antidepressants for indications other than depression, thereby mitigating the risk of confounding by indication when evaluating the outcomes of antidepressant use.

BACKGROUND The success of electronic medical records (EMRs) is dependent on implementation features, such as usability and fit with clinical processes. The use of EMRs in mental health settings brings additional and specific challenges owing to the personal, detailed, narrative, and exploratory nature of the assessment, diagnosis, and treatment in this field. Understanding the determinants of successful EMR implementation is imperative to guide the future design, implementation, and investment of EMRs in the mental health field. OBJECTIVE We intended to explore evidence on effective EMR implementation for mental health settings and provide recommendations to support the design, adoption, usability, and outcomes. METHODS The scoping review combined two search strategies that focused on clinician-facing EMRs, one for primary studies in mental health settings and one for reviews of peer-reviewed literature in any health setting. Three databases (Medline, EMBASE, and PsycINFO) were searched from January 2010 to June 2020 using keywords to describe EMRs, settings, and impacts. The Proctor framework for implementation outcomes was used to guide data extraction and synthesis. Constructs in this framework include adoption, acceptability, appropriateness, feasibility, fidelity, cost, penetration, and sustainability. Quality assessment was conducted using a modified Hawker appraisal tool and the Joanna Briggs Institute Critical Appraisal Checklist for Systematic Reviews and Research Syntheses. RESULTS This review included 23 studies, namely 12 primary studies in mental health settings and 11 reviews. Overall, the results suggested that adoption of EMRs was impacted by financial, technical, and organizational factors, as well as clinician perceptions of appropriateness and acceptability. EMRs were perceived as acceptable and appropriate by clinicians if the system did not interrupt workflow and improved documentation completeness and accuracy. Clinicians were more likely to value EMRs if they supported quality of care, were fit for purpose, did not interfere with the clinician-patient relationship, and were operated with readily available technical support. Evidence on the feasibility of the implemented EMRs was mixed; the primary studies and reviews found mixed impacts on documentation quality and time; one primary study found downward trends in adverse events, whereas a review found improvements in care quality. Five papers provided information on implementation outcomes such as cost and fidelity, and none reported on the penetration and sustainability of EMRs. CONCLUSIONS The body of evidence relating to EMR implementation in mental health settings is limited. Implementation of EMRs could benefit from methods used in general health settings such as co-designing the software and tailoring EMRs to clinical needs and workflows to improve usability and acceptance. Studies in mental health and general health settings rarely focused on long-term implementation outcomes such as penetration and sustainability. Future evaluations of EMRs in all settings should consider long-term impacts to address current knowledge gaps.

Aims Mental health (MH) service users have increased prevalence of chronic physical conditions such as cardio-respiratory diseases and diabetes. Potentially Preventable Hospitalisations (PPH) for physical health conditions are an indicator of health service access, integration and effectiveness, and are elevated in long term studies of people with MH conditions. We aimed to examine whether PPH rates were elevated in MH service users over a 12-month follow-up period more suitable for routine health indicator reporting. We also examined whether MH service users had increased PPH rates at a younger age, potentially reflecting the younger onset of chronic physical conditions. Methods A population-wide data linkage in New South Wales (NSW), Australia, population 7.8 million. PPH rates in 178 009 people using community MH services in 2016–2017 were compared to population rates. Primary outcomes were crude and age- and disadvantage-standardised annual PPH episode rate (episodes per 100 000 population), PPH day rate (hospital days per 100 000) and adjusted incidence rate ratios (AIRR). Results MH service users had higher rates of PPH admission (AIRR 3.6, 95% CI 3.5–3.6) and a larger number of hospital days (AIRR 5.2, 95% CI 5.2–5.3) than other NSW residents due to increased likelihood of admission, more admissions per person and longer length of stay. Increases were greatest for vaccine-preventable conditions (AIRR 4.7, 95% CI 4.5–5.0), and chronic conditions (AIRR 3.7, 95% CI 3.6–3.7). The highest number of admissions and relative risks were for respiratory and metabolic conditions, including chronic obstructive airways disease (AIRR 5.8, 95% CI 5.5–6.0) and diabetic complications (AIRR 5.4, 95% CI 5.1–5.8). One-quarter of excess potentially preventable bed days in MH service users were due to vaccine-related conditions, including vaccine-preventable respiratory illness. Age-related increases in risk occurred earlier in MH service users, particularly for chronic and vaccine-preventable conditions. PPH rates in MH service users aged 20–29 were similar to population rates of people aged 60 and over. These substantial differences were not explained by socio-economic disadvantage. Conclusions PPHs for physical health conditions are substantially increased in people with MH conditions. Short term (12-month) PPH rates may be a useful lead indicator of increased physical morbidity and less accessible, integrated or effective health care. High hospitalisation rates for vaccine-preventable respiratory infections and hepatitis underline the importance of vaccination in MH service users and suggests potential benefits of prioritising this group for COVID-19 vaccination.

IntroductionColorectal cancer (CRC) mortality is significantly higher in those with severe mental illness (SMI) compared with the general population, despite similar incidence rates, suggesting that barriers to optimal screening and cancer care may contribute to disparities in CRC mortality in those with SMI. This study aims to compare participation in Australia’s National Bowel Cancer Screening Programme (NBCSP) in those with SMI and those in the general population. We will also investigate treatment pathways after diagnosis to determine whether treatment variations could explain differences in CRC mortality.Methods and analysisWe will undertake a retrospective cohort study of Australians using linked administrative data to assess differences in screening and cancer care between those with and without SMI, aged 50–74 years on or after 1 January 2006. People with SMI will be defined using antipsychotic medication prescription data. The comparison group will be people enrolled in Medicare (Australia’s universal healthcare system) who have not been prescribed antipsychotic medication. Data on outcomes (NBCSP participation, follow-up colonoscopy, CRC incidence and CRC-cause and all-cause mortality) and confounders will be obtained from national-based and state-based administrative health datasets. All people in New South Wales, aged 50–74 with a new diagnosis of CRC on or after 1 January 2006, will be ascertained to examine stage at diagnosis and cancer treatment in those with and without SMI. Poisson regression will be used to calculate incidence rates and rate ratios for each outcome.Ethics and disseminationEthics approval has been obtained from the University of Queensland Human Research Ethics Committee, the Australian Institute of Health and Welfare Ethics Committee and data custodians from every Australian State/Territory. Findings will be disseminated via publications in peer-reviewed journals and presented at appropriate conferences.Trial registration numberACTRN12620000781943.

IntroductionCancer deaths are a major contributor to premature mortality in people with mental health conditions. Some cancers occur more often in people with mental health conditions because of increased risk factors. However, most premature cancer mortality in people with mental health conditions arises from increased cancer case fatality rates due to health care related factors. While there is substantial evidence that a problem exists, further evidence is needed to support effective action and the translation of research findings into better policy, services and care. Objectives and ApproachThe NSW Mental Health Living Longer program involves population-wide data linkage that combines records from nine NSW data collections. Our collection includes over 120 million records for more than nine million people. This presentation focuses on the use of linked data to develop indicators to support reporting on premature breast and cervical cancer mortality for women living with mental illness. These indicators will be used to identify variation in care, assess areas for targeted intervention, and evaluate the effectiveness of research translation into more effective care. ResultsThis work is ongoing and will be finalised by August 2020. We will use regression techniques to examine predictors of participation in breast and cervical cancer screening for women who use mental health services in NSW. These results will be used to assess geographical variation in risk-adjusted screening participation rates. We will also present methods and results for measuring incidence and stage at presentation, as well as 5 year survival for women who use mental health services in NSW. Conclusion / ImplicationsIf cancer survival is a key measure of the effectiveness of healthcare systems, then reduced survival in people with mental health problems reflects less effective health care. Improving screening and treatment services is likely to be the most important strategy for reducing the cancer mortality gap for women with mental illness.

IMPORTANCE: Psychosis is a known risk factor for offending behavior, but little is known about the association between clinical contact with mental health services after an offense and reoffending. OBJECTIVE: To examine the association between early contact with mental health services and reoffending after an index offense in individuals with psychosis. DESIGN, SETTING, AND PARTICIPANTS: In this cohort study, individuals diagnosed with psychosis before their index offense from July 1, 2001, to December 31, 2012, and who received a noncustodial sentence were identified by linking health and offending databases in New South Wales, Australia. The incidence of and risk factors for reoffending and time to reoffending within 2 years from the index offense were examined using Cox proportional hazards regression and Kaplan-Meier survival estimates. Specifically, the association between contact with mental health services within 30 days after an offense and reoffending was examined. Data were analyzed from July 1, 2019, to March 5, 2020. EXPOSURES: Hospital admission, emergency department presentation, and contact with community mental health services associated with psychosis. MAIN OUTCOMES AND MEASURES: Reoffending within 2 years of the index offense was compared in individuals with and without clinical contact with mental health services within 30 days after an offense, with adjustment for potential confounders. RESULTS: Of the 7030 offenders with psychosis (4933 male [70.2%]; median age at the index offense, 34 [interquartile range, 26-42] years), 2605 (37.1%) had clinical contact with mental health services within 30 days after the index offense. The risk of reoffending was significantly lower in those with vs without clinical contact (adjusted hazard ratio [AHR], 0.83; 95% CI, 0.76-0.91). The risk of reoffending was 30% less in male offenders with 5 or more clinical contacts compared with male offenders with no clinical contact (AHR, 0.71; 95% CI, 0.59-0.84). Reoffending in both male and female offenders was associated with younger age (eg, AHR for male offenders aged

Background Despite increasing investment in suicide prevention, Australian suicide rates have increased steadily in the past decade. In response to growing evidence for multicomponent intervention models for reducing suicide, the LifeSpan model has been developed as the first multicomponent, evidence-based, system-wide approach to suicide prevention in Australia. The LifeSpan model consists of nine evidence-based strategies. These include indicated, selective and universal interventions which are delivered simultaneously to community and healthcare systems over a 2-year implementation period. This study will evaluate the effectiveness of the LifeSpan model in reducing suicide attempts and suicide deaths in four geographically defined regions in New South Wales, Australia. Methods We outline the protocol for a stepped-wedge, cluster randomized controlled trial. Following a 6-month transition phase, the trial sites will move to the 2-year active implementation phase in 4-monthly intervals with evaluation extending a minimum of 24 months after establishment of the full active period. Analysis will be undertaken of the change attributable to the invention across the four sites. The primary outcome for the study is the rate of attempted suicide in the regions involved. Rate of suicide deaths within each site is a secondary outcome. Discussion If proven effective, the LifeSpan model for suicide prevention could be more widely delivered in Australian communities, providing a valuable new approach to tackle rising suicide rates. LifeSpan has the potential to significantly contribute to the mental health of Australians by improving help-seeking for suicide, facilitating early detection, and improving aftercare to reduce re-attempts. The findings from this research should also contribute to the evidence base for multilevel suicide prevention programs internationally. Trial registration Australia New Zealand Clinical Trials Register, ID: ACTRN12617000457347. Prospectively registered on 28 March 2017. https://www.anzctr.org.au/TrialSearch.aspx#&&conditionCode=&dateOfRegistrationFrom=&interventionDescription=&interventionCodeOperator=OR&primarySponsorType=&gender=&distance=&postcode=&pageSize=20&ageGroup=&recruitmentCountryOperator=OR Protocol Version: 1.0, 31 May 2019.

Objective: COVID-19 has left no healthcare system untouched. In New South Wales (NSW), the most populous state in Australia, COVID-19 case numbers have to date been relatively low. However, that does not mean the state’s healthcare system has been unaffected. Preparations to create sufficient capacity to accommodate a COVID-19 surge resulted in widespread deferment of scheduled medical procedures and appointments. Patterns of healthcare-seeking behaviour changed, with a reluctance to visit healthcare settings. The aim of this study was to quantify the changes in activity seen in the NSW health system in the first half of 2020. Methods: Healthcare data were drawn from multiple sources, including primary care, ambulance, emergency departments and inpatient settings. Volumes of healthcare activity in 2020, overall, by urgency of cases and by reasons for care were compared with the figures for the same period in 2019. Changes in the modality of care provision were also examined. Results: In March to June 2020, compared with the same period in 2019, primary care face-to-face consultations decreased by 22.1%, breast screening activity by 51.5%, ambulance incidents by 7.2%, emergency department visits by 13.9%, public hospital inpatient episodes by 14.3%, and public hospital planned surgical activity by 32.6%. Conclusion: There were substantial declines in a wide range of healthcare activities across the NSW health system between March and June 2020 due to the impact of the COVID-19 pandemic. Although activity levels were recovering by September 2020, they had not yet returned to ‘normal’. The implications of these changes – and the indirect impact of COVID-19 – require further study.

Background The success of electronic medical records (EMRs) is dependent on implementation features, such as usability and fit with clinical processes. The use of EMRs in mental health settings brings additional and specific challenges owing to the personal, detailed, narrative, and exploratory nature of the assessment, diagnosis, and treatment in this field. Understanding the determinants of successful EMR implementation is imperative to guide the future design, implementation, and investment of EMRs in the mental health field. Objective We intended to explore evidence on effective EMR implementation for mental health settings and provide recommendations to support the design, adoption, usability, and outcomes. Methods The scoping review combined two search strategies that focused on clinician-facing EMRs, one for primary studies in mental health settings and one for reviews of peer-reviewed literature in any health setting. Three databases (Medline, EMBASE, and PsycINFO) were searched from January 2010 to June 2020 using keywords to describe EMRs, settings, and impacts. The Proctor framework for implementation outcomes was used to guide data extraction and synthesis. Constructs in this framework include adoption, acceptability, appropriateness, feasibility, fidelity, cost, penetration, and sustainability. Quality assessment was conducted using a modified Hawker appraisal tool and the Joanna Briggs Institute Critical Appraisal Checklist for Systematic Reviews and Research Syntheses. Results This review included 23 studies, namely 12 primary studies in mental health settings and 11 reviews. Overall, the results suggested that adoption of EMRs was impacted by financial, technical, and organizational factors, as well as clinician perceptions of appropriateness and acceptability. EMRs were perceived as acceptable and appropriate by clinicians if the system did not interrupt workflow and improved documentation completeness and accuracy. Clinicians were more likely to value EMRs if they supported quality of care, were fit for purpose, did not interfere with the clinician-patient relationship, and were operated with readily available technical support. Evidence on the feasibility of the implemented EMRs was mixed; the primary studies and reviews found mixed impacts on documentation quality and time; one primary study found downward trends in adverse events, whereas a review found improvements in care quality. Five papers provided information on implementation outcomes such as cost and fidelity, and none reported on the penetration and sustainability of EMRs. Conclusions The body of evidence relating to EMR implementation in mental health settings is limited. Implementation of EMRs could benefit from methods used in general health settings such as co-designing the software and tailoring EMRs to clinical needs and workflows to improve usability and acceptance. Studies in mental health and general health settings rarely focused on long-term implementation outcomes such as penetration and sustainability. Future evaluations of EMRs in all settings should consider long-term impacts to address current knowledge gaps.

Aim To describe health service contact in the two years prior to a first hospital admission with amphetamine-related psychosis, and to identify possible opportunities for early intervention. Method Routine health data collections were used to identify 6130 persons aged 16–65 who had a first hospital admission with amphetamine-related psychosis in New South Wales (NSW), Australia, between 2005 and 2016. Health service contacts in the two years prior to first admission were identified, using public hospital, emergency department and community mental health data. Prior care was compared to 41,444 people with first psychosis admissions without amphetamine diagnoses. Results Two thirds of people with amphetamine-related psychosis had health service contact in the two years prior to their first psychosis admission. Of these, 45% had ED contacts and 30% had prior general hospital admissions. The likelihood of contact escalated throughout the two years prior to admission. Prior substance-related conditions, infectious diseases, injuries and accidents were common. Compared to other first psychosis admissions, people with amphetamine-related psychoses were less likely to have prior specialised mental health care (OR 0.84, 95% CI 0.78, 0.89) and more likely to have prior general health care (OR 1.40, 95% CI 1.29, 1.51). Conclusion Emergency departments and units treating people with infectious diseases or injuries should consider strategies to detect amphetamine and other substance use. Early detection and referral to specialist mental health or drug and alcohol care may prevent some amphetamine-related psychoses.

Objectives: Reducing or eliminating seclusion from mental health care settings has been a national priority for Australia since 2005. This paper describes Australia’s national seclusion data collection, and summarises changes in seclusion rates in Australian public mental health services. Methods: Seclusion events per 1000 patient days were calculated from 2009–2010 to 2014–2015 utilising state and territory administrative data sources. Combined national data were used to calculate results for a number of service characteristics, such as target population and location of the service. Results: The rate of seclusion events decreased by 43% over the 6 years. Child and adolescent services reported consistently higher rates of seclusion, but a shorter duration of seclusion episodes, compared with other service types. There is high variation in seclusion rates between individual services (range 0.0–53.0 seclusion events per 1000 bed days in 2014–2015). Conclusions: Seclusion event rates in Australia’s specialised public acute mental health hospital services are declining. The use of existing administrative data was instrumental in establishing a national data source to facilitate the monitoring and reporting of progress of seclusion reduction strategies.