Primary youth mental health services in Australia have increased access to care for young people, yet the longer-term outcomes and utilisation of other health services among these populations is unclear.

To describe the emergency department presentation patterns of a help-seeking youth mental health cohort.

Data linkage was performed to extract Emergency Department Data Collection registry data (i.e. emergency department presentations, pattern of re-presentations) for a transdiagnostic cohort of 7024 youths (aged 12–30 years) who presented to mental health services. Outcome measures were pattern of presentations and reason for presentations (i.e. mental illness; suicidal behaviours and self-harm; alcohol and substance use; accident and injury; physical illness; and other).

During the follow-up period, 5372 (76.5%) had at least one emergency department presentation. The presentation rate was lower for males (IRR = 0.87, 95% CI 0.86–0.89) and highest among those aged 18 to 24 (IRR = 1.117, 95% CI 1.086–1.148). Almost one-third (31.12%) had an emergency department presentation that was directly associated with mental illness or substance use, and the most common reasons for presentation were for physical illness and accident or injury. Index visits for mental illness or substance use were associated with a higher rate of re-presentation.

Most young people presenting to primary mental health services also utilised emergency services. The preventable and repeated nature of many presentations suggests that reducing the ongoing secondary risks of mental disorders (i.e. substance misuse, suicidality, physical illness) could substantially improve the mental and physical health outcomes of young people.

Contrasting the well-described effects of early intervention (EI) services for youth-onset psychosis, the potential benefits of the intervention for adult-onset psychosis are uncertain. This paper aims to examine the effectiveness of EI on functioning and symptomatic improvement in adult-onset psychosis, and the optimal duration of the intervention.

360 psychosis patients aged 26–55 years were randomized to receive either standard care (SC, n = 120), or case management for two (2-year EI, n = 120) or 4 years (4-year EI, n = 120) in a 4-year rater-masked, parallel-group, superiority, randomized controlled trial of treatment effectiveness (Clinicaltrials.gov: NCT00919620). Primary (i.e. social and occupational functioning) and secondary outcomes (i.e. positive and negative symptoms, and quality of life) were assessed at baseline, 6-month, and yearly for 4 years.

Compared with SC, patients with 4-year EI had better Role Functioning Scale (RFS) immediate [interaction estimate = 0.008, 95% confidence interval (CI) = 0.001–0.014, p = 0.02] and extended social network (interaction estimate = 0.011, 95% CI = 0.004–0.018, p = 0.003) scores. Specifically, these improvements were observed in the first 2 years. Compared with the 2-year EI group, the 4-year EI group had better RFS total (p = 0.01), immediate (p = 0.01), and extended social network (p = 0.05) scores at the fourth year. Meanwhile, the 4-year (p = 0.02) and 2-year EI (p = 0.004) group had less severe symptoms than the SC group at the first year.

Specialized EI treatment for psychosis patients aged 26–55 should be provided for at least the initial 2 years of illness. Further treatment up to 4 years confers little benefits in this age range over the course of the study.

During pregnancy, the imperative to stop smoking becomes urgent due to health risks for mother and baby.

Explore responses to a smoking-related, pregnancy-focused Risk Behaviour Diagnosis (RBD) Scale over time with Aboriginal1 pregnant women.

Six Aboriginal Medical Services in three states recruited 22 eligible women: ⩽28 weeks' gestation, ⩾16 years old, smoked tobacco, pregnant with an Aboriginal baby. Surveys were completed at baseline (n = 22), 4-weeks (n = 16) and 12-weeks (n = 17). RBD Scale outcome measures included: perceived threat (susceptibility and severity), perceived efficacy (response and self-efficacy), fear control (avoidance), danger control (intentions to quit) and protection responses (protecting babies).

At baseline, the total mean threat scores at 4.2 (95% CI: 3.9–4.4) were higher than total mean efficacy scores at 3.9 (95% CI: 3.6–4.1). Over time there was a non-significant reduction in total mean threat and efficacy; fear control increased; danger control and protection responses remained stable. Reduction of threat and efficacy perceptions, with raised fear control responses, may indicate a blunting effect (a coping style which involves avoidance of risks).

In 22 Aboriginal pregnant women, risk perception changed over time. A larger study is warranted to understand how Aboriginal women perceive smoking risks as the pregnancy progresses so that health messages are delivered accordingly.

Systemic barriers impacting smoking cessation in pregnant women may include nicotine replacement therapy (NRT) access and training.

Assess general practitioner (GP) and obstetrician's agreement with system-based changes to improve the management of smoking in pregnancy; compare group responses.

National cross-sectional survey with two samples: (1) online survey emailed to a random sample of 500 GPs from Royal Australian College of General Practitioners (RACGP); (2) paper survey posted to 5571 GPs and obstetricians from Royal Australia and New Zealand College of Obstetricians and Gynaecologists (RANZCOG). Percentages agreeing that specified changes would improve the management of smoking in pregnancy were calculated. Pairwise comparisons used Kruskal–Wallis tests (RACGP/RANZCOG GPs/obstetricians).

N = 378 participated. Response rates 8.4% (N = 42; online survey) and 6% (N = 335; paper survey), respectively. Total percentages agreeing with system-based changes: 79% training, 64% oral NRT subsidy, 62% Medicare item for smoking cessation, 54% improved access to NRT patches. Within RANZCOG, more GPs (73.1%) agreed that oral NRT should be subsidised (P = 0.001) than obstetricians (53.7%).

GPs and obstetricians agreed that system changes would improve their management of smoking in pregnancy. Oral NRT subsidy was the only pairwise group difference. Subsequently, oral NRT has been subsidised; in time, this may influence prescribing and quit rates.

There is substantial variability in involuntary psychiatric admission rates across countries and sub-regions within countries that are not fully explained by patient-level factors. We sought to examine whether in a government-funded health care system, physician payments for filling forms related to an involuntary psychiatric hospitalization were associated with the likelihood of an involuntary admission.

This is a population-based, cross-sectional study in Ontario, Canada of all adult psychiatric inpatients in Ontario (2009–2015, n = 122 851). We examined the association between the proportion of standardized forms for involuntary admissions that were financially compensated and the odds of a patient being involuntarily admitted. We controlled for socio-demographic characteristics, clinical severity, past-health care system utilization and system resource factors.

Involuntary admission rates increased from the lowest (Q1, 70.8%) to the highest (Q5, 81.4%) emergency department (ED) quintiles of payment, with the odds of involuntary admission in Q5 being nearly significantly higher than the odds of involuntary admission in Q1 after adjustment (aOR 1.73, 95% CI 0.99–3.01). With payment proportion measured as a continuous variable, the odds of involuntary admission increased by 1.14 (95% CI 1.03–1.27) for each 10% absolute increase in the proportion of financially compensated forms at that ED.

We found that involuntary admission was more likely to occur at EDs with increasing likelihood of financial compensation for invoking involuntary status. This highlights the need to better understand how physician compensation relates to the ethical balance between the right to safety and autonomy for some of the world's most vulnerable patients.

Involuntary admissions to psychiatric hospitals are common; however, research examining the trends in prevalence over time and predictors is limited.

To examine trends in prevalence and risk factors for involuntary admissions in Ontario, Canada.

We conducted an analysis of all mental health bed admissions from 2009 to 2013 and assessed the association between patient sociodemographics, service utilisation, pathway to care and severity characteristics for involuntary admissions using a modified Poisson regression.

We found a high and increasing prevalence of involuntary admissions (70.7% in 2009, 77.1% in 2013, 74.1% overall). Individuals with police contact in the prior week (risk ratio (RR) = 1.20) and immigrants both experienced greater likelihood of being involuntarily admitted, regardless of control for other characteristics (RR = 1.07) (both P < 0.0001).

We identified numerous modifiable and non-modifiable risk factors for involuntary admissions. The prevalence of involuntary admissions was high, linearly increasing over time.

The authors have completed the ICMJE Form for Disclosure of Potential Conflicts of Interest and none were reported. This study was conducted using funding entirely from public sources. P.K. has received operational support via an Ontario Ministry of Health and Long-Term Care (MOHLTC) Health Services Research Fund Capacity Award to support this project. The Institute for Clinical Evaluative Sciences (ICES) is funded by the Ontario MOHLTC. The study results and conclusions are those of the authors, and should not be attributed to any of the funding agencies or sponsoring agencies. No endorsement by ICES or the Ontario MOHLTC is intended or should be inferred. All decisions regarding study design, publication, and data analysis were made independent of the funding agencies.

To consider the link between responsible commissioner and delayed prison transfers. All hospital transfers from one London prison in 2006 were audited and reviewed by the prisoner's borough of origin.

Overall, 80 prisoners were transferred from the audited prison to a National Health Service (NHS) facility in 2006: 26% had to wait for more than 1 month for assessment by the receiving hospital unit and 24% had to wait longer than 3 months to be transferred. These 80 individuals were the responsibility of 16 different primary care trusts. Of the delayed transfer cases (n=19), the services commissioned by three primary care trusts were responsible for the delays.

There are significant differences in performance between different primary care trusts related to hospital transfers of prisoners, with most hospitals able to admit urgent cases within 3 months. This suggests that a postcode lottery operates for prisoners requiring hospital transfer. Data from prison services may be useful in monitoring and improving the performance of local NHS services.