Changes in isolation guidelines for CPE patients results in only mild reduction in required hospital beds.

Background: Carbapenemase-producing Enterobacterales (CPE) are an emerging public health concern globally as they are resistant to a broad spectrum of antibiotics. Colonisation with CPE typically requires patients to be managed under 'contact precautions', which creates additional physical bed demands in healthcare facilities.

Methods: This study examined the potential impact of revised isolation guidelines introduced in late 2023 in Victoria, Australia, that relaxed the requirement for indefinite isolation of CPE-colonised patients in contact precautions, based on admission of CPE-diagnosed cases prior to the guideline change.

Carbapenemase-producing enterobacterales colonisation status does not lead to more frequent admissions: a linked patient study.

Background: Hospitals in any given region can be considered as part of a network, where facilities are connected to one another - and hospital pathogens potentially spread - through the movement of patients between them. We sought to describe the hospital admission patterns of patients known to be colonised with carbapenemase-producing Enterobacterales (CPE), and compare them with CPE-negative patient cohorts, matched on comorbidity information.

Methods: We performed a linkage study in Victoria, Australia, including datasets with notifiable diseases (CPE notifications) and hospital admissions (admission dates and diagnostic codes) for the period 2011 to 2020.

Estimation of SARS-CoV-2 fitness gains from genomic surveillance data without prior lineage classification.

The emergence of SARS-CoV-2 variants with increased fitness has had a strong impact on the epidemiology of COVID-19, with the higher effective reproduction number of the viral variants leading to new epidemic waves. Tracking such variants and their genetic signatures, using data collected through genomic surveillance, is therefore crucial for forecasting likely surges in incidence. Current methods of estimating fitness advantages of variants rely on tracking the changing proportion of a particular lineage over time, but describing successful lineages in a rapidly evolving viral population is a difficult task.

Model-based evaluation of admission screening strategies for the detection and control of carbapenemase-producing Enterobacterales in the English hospital setting.

Background: Globally, detections of carbapenemase-producing Enterobacterales (CPE) colonisations and infections are increasing. The spread of these highly resistant bacteria poses a serious threat to public health. However, understanding of CPE transmission and evidence on effectiveness of control measures is severely lacking.

Forecasting local hospital bed demand for COVID-19 using on-request simulations.

Accurate forecasting of hospital bed demand is crucial during infectious disease epidemics to avoid overwhelming healthcare facilities. To address this, we developed an intuitive online tool for individual hospitals to forecast COVID-19 bed demand. The tool utilizes local data, including incidence, vaccination, and bed occupancy data, at customizable geographical resolutions.

A coupled experimental and statistical approach for an assessment of SARS-CoV-2 infection risk at indoor event locations.

Indoor event locations are particularly affected by the SARS-CoV-2 pandemic. At large venues, only incomplete risk assessments exist, whereby no suitable measures can be derived. In this study, a physical and data-driven statistical model for a comprehensive infection risk assessment has been developed.

Update on binge eating disorder: What general practitioners should know.

Background: The prevalence of eating disorders in Australia is increasing. Binge eating disorder (BED) is the most prevalent form of disordered eating. Many people with BED are overweight.

An appeal for strengthening genomic pathogen surveillance to improve pandemic preparedness and infection prevention: the German perspective.

The SARS-CoV-2 pandemic has highlighted the importance of viable infection surveillance and the relevant infrastructure. From a German perspective, an integral part of this infrastructure, genomic pathogen sequencing, was at best fragmentary and stretched to its limits due to the lack or inefficient use of equipment, human resources, data management and coordination. The experience in other countries has shown that the rate of sequenced positive samples and linkage of genomic and epidemiological data (person, place, time) represent important factors for a successful application of genomic pathogen surveillance.

[Establishment of genomic pathogen surveillance to strengthen pandemic preparedness and infection prevention in Germany].

The SARS-CoV‑2 pandemic has shown a deficit of essential epidemiological infrastructure, especially with regard to genomic pathogen surveillance in Germany. In order to prepare for future pandemics, the authors consider it urgently necessary to remedy this existing deficit by establishing an efficient infrastructure for genomic pathogen surveillance. Such a network can build on structures, processes, and interactions that have already been initiated regionally and further optimize them.

Pilot Study of Blended-Format Interpersonal Psychotherapy for Major Depressive Disorder.

Objective: Blended-format interpersonal psychotherapy (IPT) is an integrated approach consisting of alternating face-to-face (in person or videoconferencing) and online sessions, and this format may increase access to care, empower patients, and improve quality and cost-effectiveness of care. This study, conducted in the Netherlands, was one of the first to investigate the feasibility of blended-format IPT in specialized mental health care.

Methods: Participants (ages 18-64, N=21) with a unipolar depressive episode were recruited at an outpatient mood disorder clinic.

Automated mobile virtual reality cognitive behavior therapy for aviophobia in a natural setting: a randomized controlled trial.

Background: Access to evidence-based psychological treatment is a challenge worldwide. We assessed the effectiveness of a fully automated aviophobia smartphone app treatment delivered in combination with a $5 virtual reality (VR) viewer.

Methods: In total, 153 participants from the Dutch general population with aviophobia symptoms and smartphone access were randomized in a single-blind randomized controlled trial to either an automated VR cognitive behavior therapy (VR-CBT) app treatment condition ( = 77) or a wait-list control condition ( = 76).

[Online schema therapy: a cross-sectional survey among Dutch therapists].

Background: Long waiting lists exist for the treatment of personality disorders, which can be shortened by using videoconference treatment. During the COVID-19 pandemic, by necessity, videoconferencing was used to provide schema therapy, a specific treatment for personality disorders.

Aim: To investigate therapist experience of schema therapy via videoconferencing during the pandemic.

Automated app-based augmented reality cognitive behavioral therapy for spider phobia: Study protocol for a randomized controlled trial.

Background: Fear of spiders, or Arachnophobia, is one of the most common specific phobias. The gold standard treatment, in vivo exposure therapy, is effective, but comes with significant limitations, including restricted availability, high costs, and high refusal rates. Novel technologies, such as augmented reality, may help to overcome these limitations and make Exposure Therapy more accessible by using mobile devices.

Internet-delivered interventions for personality disorders - A scoping review.

Background: Personality disorders (PDs) form a substantial part of the mental health disease burden. Effective therapies to treat PDs exist, but they are time-consuming, costly, and difficult to scale up. Delivery through the internet could facilitate the scalability of effective treatment methods.

Impact of antibiotic use on patient-level risk of death in 36 million hospital admissions in England.

Objectives: Initiatives to curb hospital antibiotic use might be associated with harm from under-treatment. We examined the extent to which variation in hospital antibiotic prescribing is associated with mortality risk in acute/general medicine inpatients.

Methods: This ecological analysis examined Hospital Episode Statistics from 36,124,372 acute/general medicine admissions (≥16y) to 135 acute hospitals in England, 01/April/2010-31/March/2017.

The first 12.5 years of parenthood: A latent trait-state occasion model of the longitudinal association between maternal distress and child internalizing and externalizing problems.

Maternal anxiety and depression symptomatology are risk factors for the development of children's internalizing and externalizing behavior problems. However, it is still unclear whether chronic and transient symptoms relate differently to child behavior. The aim of this prospective longitudinal study (N = 193) was to investigate the associations between anxiety and depression symptomatology in a community sample across the first 12.

Integrating virtual realities and psychotherapy: SWOT analysis on VR and MR based treatments of anxiety and stress-related disorders.

The use of virtual reality (VR) and mixed reality (MR) technology in clinical psychology is growing. Efficacious VR-based treatments for a variety of disorders have been developed. However, the field of technology-assisted psychotherapy is constantly changing with the advancement in technology.

Virtual Reality Self-help Treatment for Aviophobia: Protocol for a Randomized Controlled Trial.

Background: Aviophobia (the fear of flying) can greatly impact the daily life functioning of people with the condition. Traditional exposure-based treatment is hampered by the limited availability of airplane practice situations, which is a result of economical and practical concerns. Easily accessible and low-cost virtual reality exposure therapy may address these challenges.

Universal prevention of distress aimed at pregnant women: a systematic review and meta-analysis of psychological interventions.

Background: There is sufficient meta-analytic evidence that antenatal interventions for women at risk (selective prevention) or for women with severe psychological symptoms (indicated prevention) are effective in reducing postpartum distress. However, women without risk or severe psychological symptoms might also experience distress. This meta-analysis focused on the effectiveness of preventive psychological interventions offered to universal populations of pregnant women on symptoms of depression, anxiety, and general stress.

Modelling how antimicrobial resistance spreads between wards.

Moving patients between wards and prescribing high levels of antibiotics increases the spread of bacterial infections that are resistant to treatment in hospitals.

Effectiveness of a psycho-educational intervention for expecting parents to prevent postpartum parenting stress, depression and anxiety: a randomized controlled trial.

Background: The first months postpartum can be challenging for parents, leading to elevated symptoms of parenting stress, depression and anxiety. In turn, distressed parents are at higher risk for providing suboptimal quality of caregiving. As psychoeducational interventions can be effective in reducing psychological distress, the goal of this randomized controlled trial was to examine the effectiveness of low-intensity universal psychoeducational program to prevent postpartum parenting stress, and to enhance parental well-being and caregiving quality.

Innovative Technology Based Interventions for Psychological Treatment of Common Mental Disorders.

The present Special Issue of includes a series of important papers that aim to further the evidence base of innovative technological advances in the screening and treatment of mental health, and to further our understanding of their implications for mental health care [...

Navigating hospitals safely through the COVID-19 epidemic tide: Predicting case load for adjusting bed capacity.

Background: The pressures exerted by the coronavirus disease 2019 (COVID-19) pandemic pose an unprecedented demand on healthcare services. Hospitals become rapidly overwhelmed when patients requiring life-saving support outpace available capacities.

Objective: We describe methods used by a university hospital to forecast case loads and time to peak incidence.

Addressing missing data in randomized clinical trials: A causal inference perspective.

Background: The importance of randomization in clinical trials has long been acknowledged for avoiding selection bias. Yet, bias concerns re-emerge with selective attrition. This study takes a causal inference perspective in addressing distinct scenarios of missing outcome data (MCAR, MAR and MNAR).