Severe mental illness (SMI), which includes schizophrenia, schizoaffective disorder and bipolar disorder, has profound health impacts, even in the elderly.

To evaluate relative risk of hospital admission and length of hospital stay for physical illness in elders with SMI.

To construct a population-based retrospective cohort observed from April 2007 to March 2016, data from a case registry with full but de-identified electronic health records were retrieved for patients of the South London and Maudsley NHS Foundation Trust, the single secondary mental healthcare service provider in south-east London. We compared participants with SMI aged >60 years old with the general population of the same age and residing in the same areas through data linkage by age-, sex- and fiscal-year-standardised admission ratios (SARs) for primary diagnoses at hospital discharge. Furthermore, we compared the duration of hospital stay with an age-, sex- and cause-of-admission-matched random group by linear regression for major causes of admission.

In total, records for 4175 older people with SMI were obtained, relating to 10 342 admission episodes, showing an overall SAR for all physical illnesses of 5.15 (95% CI: 5.05, 5.25). Among the top causes of admission, SARs ranged from 3.87 for circulatory system disorders (ICD-10 codes: I00–I99) to 6.99 for genitourinary system or urinary conditions (N00–N39). Specifically, the diagnostic group of ‘symptoms, signs and findings, not elsewhere classified’ (R00–R99) had an elevated SAR of 6.56 (95% CI: 6.22, 6.90). Elders with SMI also had significantly longer hospital stays than their counterparts in the general population, especially for digestive system illnesses (K00–K93), after adjusting for confounding.

Poorer overall physical health and specific patterns were identified in elders with SMI.

The COVID-19 pandemic has had an enormous impact on both physical and mental health of people around the world.

The aim of the study was to evaluate the number and characteristics of people seeking emergency psychiatric help during combined psychosocial stressful events in March 2020.

Data for 3927 patients seeking emergency psychiatric help were collected and analyzed for the months preceding, during and after lockdown due to COVID-19 pandemic and concomitant earthquake that took place on 22nd March 2020 in Zagreb, and compared with the same months of 2019.

A significant decrease in both the number of visits and admissions to the hospital was found for the month of lockdown. There was a significant decrease in the number of out-patients visits and day hospital admissions. Compared with other months, more women and younger patients sought help. There was a significant rise in the number of patients presenting with suicidal thoughts, as well as a larger percentage of involuntary admissions.

Overall less people sought psychiatric help in the face of an unpredictable acute threat, which was interpreted in the light of prioritizing fear of infection over mental health issues. Alternatively, it is possible that people threatened with immediate danger mobilize short- term compensatory psychological resources which help deal with or put off mental illness. This research was conducted as part of the project of the Croatian Science Foundation CORONA-04-2086 Life in the time of COVID-19-social implications on the security and well-being of vulnerable groups in the European context.

No significant relationships.

The coronavirus disease 2019 (COVID-19) global pandemic caused mental health services to be downscaled to abide by the public health restrictions issued.

The aim of this study was to investigate whether the pandemic and resultant restrictions had an impact on Malta's admissions to hospital for mental health issues by assessing the number and nature of psychiatric admissions to our only national mental health hospital.

Data collection was carried out retrospectively for the 13-week period between 7 March 2020 and 4 June 2020, compared with the equivalent in 2019. Demographic data was obtained and descriptive statistical analysis through the use of the χ²-test, z-test and logistic regression model were used to compare both data-sets, using a P-value of 0.05.

An overall reduction in admissions to hospital was noted in 2020 when compared with 2019, recorded to be lowest in March 2020 with a steady acceleration of admissions up until May 2020 (χ2(3) = 22.573, P < 0.001). This coincided with a decelerated rate of positive COVID-19 cases locally. In 2020, there were significantly higher female admissions (χ2(1) = 10.197, P < 0.001), increased presentations of self-harm/suicidal ideation (P < 0.001) and higher involuntary admissions using the Mental Health Act (χ2(1) = 4.904, P = 0.027). The logistic regression model identified total length of stay in hospital, primary mental health diagnosis, gender and month of admission as variables significantly associated with an admission.

Our first population-wide study confirms that the COVID-19 pandemic and subsequent public health restrictions had an impact on the population's hospital admissions for mental health issues.

To evaluate outcomes in patients with Turner Syndrome, especially those with cardiac conditions, compared to those without Turner syndrome.

Retrospective cohort study utilising hospitalisation data from 2006 to 2012. Conditional logistic regression models are used to analyse outcomes of interest: all-cause mortality, increased length of stay, and discharge to home.

We identified 2978 women with Turner syndrome, matched to 11,912 controls by primary diagnosis.

Patients with Turner syndrome were more likely to experience inpatient mortality (odds ratio 1.44, 95% confidence interval 1.02–2.02, p = 0.04) and increased length of stay (OR 1.31, CI 1.18–1.46, p = 0.03) than primary diagnosis matched controls, after adjusting for age, race, insurance status, and Charlson comorbidity index. Patients with Turner syndrome were 32% less likely to be discharged to home (OR 0.68, CI 0.60–0.78, p < 0.001). When restricting the sample of patients to those admitted with a cardiac diagnosis, the likelihood of mortality (OR 3.10, CI 1.27–7.57, p = 0.01) and prolonged length of stay (OR 1.42, CI 1.03–1.95, p = 0.03) further increased, while the likelihood of discharge to home further decreased (OR 0.55, CI 0.38–0.80, p = 0.001) in Turner syndrome compared to primary diagnosis matched controls. Specifically, patients with congenital heart disease were more likely to have prolonged length of stay (OR: 1.53, CI 1.18–2.00, p = 0.002), but not increased mortality or decreased discharge to home.

Hospitalised women with Turner syndrome carry a higher risk of adverse outcomes even when presenting otherwise similarly as controls, an important consideration for those treating them in these settings.

Adults with CHD are known to greatly benefit from a prompt access to continuous expert care. On the other hand, coronavirus disease 2019 pandemic has determined a dramatic worldwide reconfiguration of the healthcare systems, with rapid redeployment of resources towards this emergency. Italy was the first Western country affected by a large-scale spread of coronavirus disease 2019. The aim of our study is to analyse the impact of the coronavirus disease 2019 outbreak on in-hospital care of patients with CHD in an Italian tertiary centre.

We retrospectively reviewed data on CHD hospital admissions in our centre since 1 March, 2020, when the adoption of a strict infection containment policy throughout the country resulted in limited access of patients to routine hospital care and resources reallocation to the care of infected patients. Comparison with data from the previous year was performed in order to identify any relevant differences attributable to the outbreak. Despite cancellation of all elective procedures, the overall number of urgent hospital admission remained stable throughout the period of study. Patients admitted during the pandemic had greater disease complexity (p = 0.001) with longer length of in-hospital stay (p = 0.01). No adverse events or positive swabs were reported among CHD patients who were admitted to hospital or medical personnel caring for these patients.

Data from our early experience suggest that coronavirus disease 2019 pandemic did not impact significantly on the provision of urgent care to adult patients with CHD.

To assess admission rates to seven General Hospital Psychiatric Wards (GHPWs) located in the Lombardy Region in the 40 days after the start of Coronavirus disease 2019 (COVID-19) epidemic, compared to similar periods of 2020 and 2019.

Anonymized data from the regional psychiatric care register have been obtained and analyzed. The seven GHPWs care for approximately 1.4 million inhabitants and have a total of 119 beds.

In the 40-day period (February 21–March 31, 2020) after the start of the COVID-19 epidemic in Italy, compared to a similar 40-day period prior to February 21, and compared to two 40-day periods of 2019, there has been a marked reduction in psychiatric admission rates. The reduction was explained by voluntary admissions, while there was not a noticeable reduction for involuntary admissions. The reduction was visible for all diagnostic groups, except for a group of ‘Other’ diagnoses, which includes anxiety disorders, neurocognitive disorders, etc.

Large-scale pandemics can modify voluntary admission rates to psychiatric facilities in the early phases following pandemic onset. We suggest that the reduction in admission rates may be due to fear of hospitals, seen as possible sites of contagion, as well as to a change in thresholds of behavioral problems acting as a trigger for admission requests from family relatives or referrals from treating clinicians. It is unclear from the study whether the reduction in admissions was contributed to most by the current pandemic or the lockdown imposed due to the pandemic.

Clinical trial outcomes are heavily influenced by the non-naturalistic clinical trial process. Observations of outcomes in clinical practice are a valuable adjunct to clinical trial results.

Our null hypothesis was that clinically indicated switching to paliperidone palmitate had no effect on hospital admissions or hospital bed days.

This was a part-prospective mirror image study examining outcomes 2 years before starting paliperidone palmitate and 2 years after. Sensitivity analyses examined the effect of different placings of the mirror in the mirror image design.

We prospectively followed-up 225 patients prescribed paliperidone palmitate in clinical practice. At 2 years, 41.8% of patients were still receiving paliperidone palmitate. In the primary analysis, the mean number of admissions fell from 1.80 in the two years before starting paliperidone palmitate to 0.81 in two years following the drug’s initiation (outpatients) or two years following hospital discharge (inpatients) (P < 0.001). More than half of patients were not admitted to hospital during two years follow-up. Mean total bed days was reduced from 79.6 in the two years before to 46.2 in the two years after paliperidone palmitate initiation or discharge (P < 0.001). Sensitivity analyses gave broadly similar outcomes. Continuers demonstrated better outcomes than discontinuers in sensitivity analyses but not in the primary analysis.

Paliperidone palmitate initiation is associated with a substantial reduction in hospital admissions and days spent in hospital. The reduction in costs associated with reduced use of health care facilities is likely to exceed the purchase and administration costs of the drug.

The Mental Health Act 2001 has introduced significant changes to the process of admission to hospital for individuals affected by mental health disorders. This study aimed to determine whether a newly designed smartphone application could result in an improvement in service users’ knowledge of their rights compared with the paper booklet.

This was a randomized study conducted in an outpatient and day-hospital in North Dublin. Participants were randomized to receive the information booklet as either a smartphone application or in the paper form. A questionnaire which was scored from 0 to 10 was devised and was completed at baseline and at 1-week follow-up.

A total of 42 individuals completed the baseline and follow-up questionnaire and of these, 53.7% were female and the mean age was 38.2 years (s.d.±13.5). A total of 34.1% had a diagnosis of a psychotic disorder, 29.3% had a depressive disorder and 22% had bipolar-affective disorder. The mean score before the intervention in the total group was 3.5 (s.d.±2.2) and this increased to 5.8 (s.d.±2.2) at follow-up. Participants randomized to the smartphone application improving by a mean of 2.5 (s.d.±2.5), while those randomized to the booklet improving by a mean of 2.3 (s.d.±2.6), which was not statistically significant.

Both forms of the information booklet showed improvement in service users’ knowledge of their legal rights. It is possible that each individual will have preference for either a paper form or a smartphone form and this study suggests that both forms should be offered to each individual service user.

The aim of this study was to prioritize hospital admissions for ambulatory care sensitive conditions (ACSCs) and interventions for future research and implementation.

Initiatives aimed at reducing hospital admission need to be targeted at those patients who could avoid admission to hospital, either by prevention, earlier detection and treatment, or by the provision of alternative types of care. Admissions for ACSCs should ideally be prevented by care provided outside hospital.

The study used a modified Delphi method to elicit the views of an expert panel. The Delphi process comprised two rounds and used a Web-based questionnaire. Participants were purposively sampled and comprised primary and community care clinicians, emergency clinicians and commissioning managers. Quantitative data were analysed to produce descriptive statistics. Qualitative data were analysed using content analysis.

A total of 36 participants responded to both rounds of the Delphi survey. The condition given top priority was dementia, not currently a widely recognized ACSC or a national priority. The proportion of admissions that could be avoided by provision of care outside hospital was the most important factor in deciding which conditions to prioritize. Access to rapid response nursing and social care at home, intermediate care beds and mental health crisis teams were identified as key interventions to reduce admissions. Analysis of qualitative data showed several themes underlying clinical decisions to admit potentially avoidable admissions.

In conclusion, the conditions selected by the panel for prioritization showed some concordance with the National Health Services’ priorities in this area; but the condition given top priority by the panel – dementia – is not currently a national priority. The panel showed a high degree of consensus around interventions that might lower the rate of avoidable admissions. The highest rated interventions involve the direct delivery of rapid access care in the community.