The characteristics of patients who have repeated compulsory psychiatric admissions are largely unknown.

To investigate the frequency and risk factors for repeated emergency compulsory psychiatric admission (ECPA); and to identify targets for interventions to reduce repeated ECPA.

Data were collected from a database of electronic patient files (EPFs) held by three psychiatric emergency services (PES) in the Netherlands. Analyses were based on the data for adult patients (aged 18–75 years) with a first PES contact in 2010–2015. Using descriptive statistics and regression analysis, we studied the associations between baseline patient factors and repeated ECPA and time to readmission, within a 2-year follow-up period.

We included 6059 patients: 15.6% had two or more ECPAs. In total, 66% of second ECPAs had occurred within 6 months of the first. About 30% of all ECPAs were repeated ECPAs. Two baseline factors were associated with a higher frequency of a second ECPA: history of receiving any mental healthcare treatment, whether in-patient or out-patient or both, and a lower level of self-care. Three were associated with a lower frequency: ethnicity (other than Dutch), older age and suicidality. Lower Global Assessment of Functioning (GAF) scores and housing problems were associated with a shorter time to compulsory readmission and persistent psychiatric problems with a longer time to compulsory readmission.

We found that 15.6% of patients had two or more ECPAs. Two-thirds of the second ECPAs had occurred within 6 months of the first. Like earlier studies, the risk factors we identified suggest that interventions to reduce the risk of repeated compulsory psychiatric admission should seek to improve self-care, general daily functioning and homelessness.

Experimental work in animals has shown that DNA methylation (DNAm), an epigenetic mechanism regulating gene expression, is influenced by typical variation in maternal care. While emerging research in humans supports a similar association, studies to date have been limited to candidate gene and cross-sectional approaches, with a focus on extreme deviations in the caregiving environment.

Here, we explored the prospective association between typical variation in maternal sensitivity and offspring epigenome-wide DNAm, in a population-based cohort of children (N = 235). Maternal sensitivity was observed when children were 3- and 4-years-old. DNAm, quantified with the Infinium 450 K array, was extracted at age 6 (whole blood). The influence of methylation quantitative trait loci (mQTLs), DNAm at birth (cord blood), and confounders (socioeconomic status, maternal psychopathology) was considered in follow-up analyses.

Genome-wide significant associations between maternal sensitivity and offspring DNAm were observed at 13 regions (p < 1.06 × 10−07), but not at single sites. Follow-up analyses indicated that associations at these regions were in part related to genetic factors, confounders, and baseline DNAm levels at birth, as evidenced by the presence of mQTLs at five regions and estimate attenuations. Robust associations with maternal sensitivity were found at four regions, annotated to ZBTB22, TAPBP, ZBTB12, and DOCK4.

These findings provide novel leads into the relationship between typical variation in maternal caregiving and offspring DNAm in humans, highlighting robust regions of associations, previously implicated in psychological and developmental problems, immune functioning, and stress responses.

While polypharmacy is common in long-term residential psychiatric patients, prescription combinations may, from an evidence-based perspective, be irrational. Potentially, many psychiatric patients are treated on the basis of a poor diagnosis. We therefore evaluated the DITSMI model (i.e., Diagnose, Indicate, and Treat Severe Mental Illness), an intervention that involves diagnosis (or re-diagnosis) and appropriate treatment for severely mentally ill long-term residential psychiatric patients. Our main objective was to determine whether DITSMI affected changes over time regarding diagnoses, pharmacological treatment, psychosocial functioning, and bed utilization.

DITSMI was implemented in a consecutive patient sample of 94 long-term residential psychiatric patients during a longitudinal cohort study without a control group. The cohort was followed for three calendar years. Data were extracted from electronic medical charts. As well as diagnoses, medication use and current mental status, we assessed psychosocial functioning using the Health of the Nations Outcome Scale (HoNOS). Bed utilization was assessed according to length of stay (LOS). Change was analyzed by comparing proportions of these data and testing them with chi-square calculations. We compared the numbers of diagnoses and medication changes, the proportions of HoNOS scores below cut-off, and the proportions of LOS before and after provision of the protocol.

Implementation of the DITSMI model was followed by different diagnoses in 49% of patients, different medication in 67%, some improvement in psychosocial functioning, and a 40% decrease in bed utilization.

Our results suggest that DITSMI can be recommended as an appropriate care for all long-term residential psychiatric patients.

To assess the incidence of suicidal ideation, violent behaviour, and deliberate self-harm in patients with schizophrenia 12-months after initiating treatment with risperidone long-acting injection (RLAI) who are enrolled in the electronic-Schizophrenia Treatment Adherence Registry (e-STAR) in the Netherlands.

e-STAR is an international, prospective, observational study of patients with schizophrenia who have been initiated with RLAI. Data are collected retrospectively (1 year) and prospectively (2 years). The incidence of suicidal ideation, violent behaviour, and self-injury was evaluated by the treating physician based on the presence or absence of these events at baseline and prospectively every 3 months. Patients with at least 12 months of available follow-up data from the Netherlands were included in this analysis.

To date a total of 190 patients have been enrolled in the Netherlands and 118 patients with 12 months of available data were analyzed. The majority were male (62.7%) with a mean age of 37.7±11.5 years and a mean time since schizophrenia diagnosis of 11.1±21.5 years. Compared to baseline, statistically significant decreases were observed in the occurrence of suicidal ideation (15.1% to 4.3%, p=0.006) and violent behaviour (12.9% to 2.2%, p=0.006) at 12 months. The incidence of self-injury also decreased from 4.3% to 3.2%, but the reduction was not statistically significant.

These 12-month interim results showed significant decrease in the incidence of suicidal ideation and violent behaviour was observed in patients with schizophrenia after initiating treatment with risperidone long-acting injection.

To assess changes in illness severity (Clinical Global Impression-Severity scale, CGI-S) and functioning (Global Assessment of Functioning, GAF) in patients initiated on risperidone long-acting injection (RLAI) during routine clinical practice and followed up for at least 12 months in the Netherlands.

e-STAR is an international, prospective, observational study of patients with schizophrenia who have been initiated with RLAI. Data are collected both retrospectively (1 year) and prospectively (2 years). Results presented in this report were based on data from patients with at least 12 months of available data in the Netherlands.

There are 190 patients currently enrolled in the Netherlands and 118 patients have at least 12 months of available data. Of the 118 patients, the majority were male (62.7%) with a mean age of 37.7±11.5 years and a mean time since schizophrenia diagnosis of 11.1±21.5 years. The main reasons for switching to RLAI were lack of compliance (42.4%), adverse events (25.4%) and lack of efficacy (24.6%) with previous therapy. At 12 months, 66.9% of patients were still on RLAI treatment. Of the patients who discontinued RLAI, the mean time to discontinuation was 157.8±76.5 days. Mean CGI-S score significantly improved from 4.05±1.14 at baseline to 3.15±1.38 at 12 months (p<0.001). Additionally, the mean GAF score significantly improved from 43.8±12.0 at baseline to 55.2±14.7 at 12 months (p<0.001).

These interim results showed that treatment with RLAI in patients with schizophrenia was associated with significant improvements in disease severity and functioning.

Depression is associated with the metabolic syndrome (MS). Recently, the concept of ‘metabolic depression’ has been proposed based on a protracted course of depressive symptoms over time.

Within the Netherlands study of depression in older persons, we examined whether metabolic dysregulation predicted the two-year course of depression.

A cohort study (n = 285) of depressed persons (≥60 years) with two-year follow up. Depression was classified according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV). Severity of depression was assessed with sum score as well as subscale scores of the Inventory of Depressive Symptomatology (IDS) at six-month intervals. The metabolic syndrome was defined according the National Cholesterol Education Program (NCEP-ATP III). We applied logistic regression and linear mixed models adjusted for a wide range of confounders and severity of depression at baseline.

The number of MS-components predicted non-remission at two-years (OR = 1.28 [95% CI: 1.00–1.58], P = 0.047), which was driven by waist-circumference, HDL-cholesterol and triglycerides. MS was only associated with the somatic symptom subscale score of the IDS over time, but not with its sum score (interaction time × somatic subscale, P = 0.002). This effect was driven by waist circumference, elevated fasting glucose level and hypertension.

Metabolic dysregulation predicts the course of late-life depression. This effect seems to be driven by visceral obesity (as indicated by the waist circumference) and lipid dysregulations and with respect to the somatic symptoms of depression.

The authors have not supplied their declaration of competing interest.

Subspecialisation is increasingly a fundamental part of the contemporary practice of medicine. However, little is known about how medical trainees learn in the modern era, and particularly in growing and relatively new subspecialties, such as adult CHD. The purpose of this study was to assess institutional-led and self-directed learning strategies of adult CHD fellows.

This international, cross-sectional online survey was conducted by the International Society for Adult Congenital Heart Disease and consisted primarily of categorical questions and Likert rating scales. All current or recent (i.e., those within 2 years of training) fellows who reported training in adult CHD (within adult/paediatric cardiology training or within subspecialty fellowships) were eligible.

A total of 75 fellows participated in the survey: mean age: 34 ± 5; 35 (47%) female. Most adult CHD subspecialty fellows considered case-based teaching (58%) as “very helpful”, while topic-based teaching was considered “helpful” (67%); p = 0.003 (favouring case-based). When facing a non-urgent clinical dilemma, fellows reported that they were more likely to search for information online (58%) than consult a faculty member (29%) or textbook (3%). Many (69%) fellows use their smartphones at least once daily to search for information during regular clinical work.

Fellows receiving adult CHD training reported a preference for case-based learning and frequent use of online material and smartphones. These findings may be incorporated into the design and enhancement of fellowships and development of online training resources.

Compulsory admission is commonly regarded as necessary and justified for patients whose psychiatric condition represents a severe danger to themselves and others. However, while studies on compulsory admissions have reported on various clinical and social outcomes, little research has focused specifically on dangerousness, which in many countries is the core reason for compulsory admission.

To study changes in dangerousness over time in adult psychiatric patients admitted by compulsory court order, and to relate these changes to these patients' demographic and clinical characteristics.

In this explorative prospective observational cohort study of adult psychiatric patients admitted by compulsory court order, demographic and clinical data were collected at baseline. At baseline and at 6 and 12 month follow-up, dangerousness was assessed using the Dangerousness Inventory, an instrument based on the eight types of dangerousness towards self or others specified in Dutch legislation on compulsory admissions. We used descriptive statistics and logistic regression to analyse the data.

We included 174 participants with a court-ordered compulsory admission. At baseline, the most common dangerousness criterion was inability to cope in society. Any type of severe or very severe dangerousness decreased from 86.2% at baseline to 36.2% at 6 months and to 28.7% at 12 months. Being homeless at baseline was the only variable which was significantly associated with persistently high levels of dangerousness.

Dangerousness decreased in about two-thirds of the patients after court-ordered compulsory admission. It persisted, however, in a substantial minority (approximately one-third).

None.

To investigate the effects of friendly competition on hand hygiene compliance as part of a multimodal intervention program.

Prospective observational study in which the primary outcome was hand hygiene compliance. Differences were analyzed using the Pearson χ2 test. Odds ratios (ORs) with 95% confidence interval were calculated using multilevel logistic regression.

Observations were performed in 9 public hospitals and 1 rehabilitation center in Rotterdam, Netherlands.

From 2014 to 2016, at 5 time points (at 6-month intervals) in 120 hospital wards, 20,286 hand hygiene opportunities were observed among physicians, nurses, and other healthcare workers (HCWs).

The multimodal, friendly competition intervention consisted of mandatory interventions: monitoring and feedback of hand hygiene compliance and optional interventions (ie, e-learning, kick-off workshop, observer training, and team training). Hand hygiene opportunities, as formulated by the World Health Organization (WHO), were unobtrusively observed at 5 time points by trained observers. Compliance data were presented to the healthcare organizations as a ranking.

The overall mean hand hygiene compliance at time point 1 was 42.9% (95% confidence interval [CI], 41.4–44.4), which increased to 51.4% (95% CI, 49.8–53.0) at time point 5 (P<.001). Nurses showed a significant improvement between time points 1 and 5 (P<.001), whereas the compliance of physicians and other HCWs remained unchanged. In the multilevel logistic regressions, time points, type of ward, and type of HCW showed a significant association with compliance.

Between the start and the end of the multimodal intervention program in a friendly competition setting, overall hand hygiene compliance increased significantly.

Personality disorders commonly coexist with alcohol use disorders (AUDs), but there is conflicting evidence on their association with treatment outcomes.

To determine the size and direction of the association between personality disorder and the outcome of treatment for AUD.

We conducted a systematic review and meta-analysis of randomised trials and longitudinal studies.

Personality disorders were associated with more alcohol-related impairment at baseline and less retention in treatment. However, during follow-up people with a personality disorder showed a similar amount of improvement in alcohol outcomes to that of people without such disorder. Synthesis of evidence was hampered by variable outcome reporting and a low quality of evidence overall.

Current evidence suggests the pessimism about treatment outcomes for this group of patients may be unfounded. However, there is an urgent need for more consistent and better quality reporting of outcomes in future studies in this area.

Estimating the risk of a complicated course of Clostridium difficile infection (CDI) might help doctors guide treatment. We aimed to validate 3 published prediction models: Hensgens (2014), Na (2015), and Welfare (2011).

The validation cohort comprised 148 patients diagnosed with CDI between May 2013 and March 2014. During this period, 70 endemic cases of CDI occurred as well as 78 cases of CDI related to an outbreak of C. difficile ribotype 027. Model calibration and discrimination were assessed for the 3 prediction rules.

A complicated course (ie, death, colectomy, or ICU admission due to CDI) was observed in 31 patients (21%), and 23 patients (16%) died within 30 days of CDI diagnosis. The performance of all 3 prediction models was poor when applied to the total validation cohort with an estimated area under the curve (AUC) of 0.68 for the Hensgens model, 0.54 for the Na model, and 0.61 for the Welfare model. For those patients diagnosed with CDI due to non-outbreak strains, the prediction model developed by Hensgens performed the best, with an AUC of 0.78.

All 3 prediction models performed poorly when using our total cohort, which included CDI cases from an outbreak as well as endemic cases. The prediction model of Hensgens performed relatively well for patients diagnosed with CDI due to non-outbreak strains, and this model may be useful in endemic settings.

Infect Control Hosp Epidemiol 2017;38:897–905

Depression is associated with the metabolic syndrome (MS). We examined whether metabolic dysregulation predicted the 2-year course of clinical depression.

A total of 285 older persons (⩾60 years) suffering from depressive disorder according to DSM-IV-TR criteria was followed up for 2 years. Severity of depression was assessed with the Inventory of Depressive Symptomatology (IDS) at 6-month intervals. Metabolic syndrome was defined according the National Cholesterol Education Programme (NCEP-ATP III). We applied logistic regression and linear mixed models adjusted for age, sex, years of education, smoking, alcohol use, physical activity, somatic co-morbidity, cognitive functioning and drug use (antidepressants, anti-inflammatory drugs) and severity of depression at baseline.

MS predicted non-remission at 2 years (odds ratioper component = 1.26, 95% confidence interval 1.00–1.58), p = 0.047), which was driven by the waist circumference and HDL cholesterol. MS was not associated with IDS sum score. Subsequent analyses on its subscales, however, identified an association with the somatic symptom subscale score over time (interaction time × somatic subscale, p = 0.005), driven by higher waist circumference and elevated fasting glucose level.

Metabolic dysregulation predicts a poor course of late-life depression. This finding supports the concept of ‘metabolic depression’, recently proposed on population-based findings of a protracted course of depressive symptoms in the presence of metabolic dysregulation. Our findings seem to be driven by abdominal obesity (as indicated by the waist circumference) and HDL cholesterol dysregulation.

To create a system for the uniform registration and classification of complications and failures in cochlear implant surgery, and apply it to all the patients who underwent implantation in our clinic.

The definition of a medical complication was established, and data for all cochlear implantations performed between 1987 and 2012 were entered into a custom-made database system.

One or more medical complications were registered in 19.0 per cent of 1003 cochlear implantations. The incidence of ‘hard failure’ was 2.3 per cent. Findings revealed a decrease in device failures over the years; the rate of medical complications remained constant.

Our database system, which is available free of charge, enables fast and accurate data entry. There were a relatively high number of (minor) complications in our series, but comparison with the relevant literature is difficult. This emphasises the need for a uniform definition of ‘complication’ as it relates to cochlear implant surgery, and an appropriate classification system for such complications.