Strategic Responses to Employee Well-Being Issues in VUCA (Volatile, Uncertain, Complex, and Ambiguous) Conditions: Expanding the JD-R (Job Demands-Resources) Model with Job Crafting.

Current work environments, driven by globalization, demographic changes, and digitalization, demand substantial adaptation, which leads to decreased employee well-being. While occupational psychology research has identified supportive mechanisms, it often lacks a deepened understanding of how interventions function. This study aims to analyze the impacts of VUCA contexts and leadership behavior on job crafting, focusing on white-collar workers.

Defining Health Management: A Conceptual Foundation for Excellence Through Efficiency, Sustainability and Equity.

The practice of healthcare management is essential for the efficient operation of health services, encompassing leadership, management, and direction within healthcare organisations. 'Health management' extends beyond healthcare management by integrating principles of public health and health policy. As health management is commonly practised but not cohesively recognised, the European Health Management Association (EHMA) conducted this study to develop a cohesive definition of health management.

18F-DCFPyL PET/MRI Radiomics for Intraprostatic Prostate Cancer Detection and Metastases Prediction Using Whole-Gland Segmentation.

Objectives: To evaluate 18F-DCFPyL-PET/MRI whole-gland-derived radiomics for detecting clinically significant (cs) prostate cancer (PCa) and predicting metastasis.

Methods: Therapy-naïve PCa patients who underwent 18F-DCFPyL PET/MRI were included. Whole-prostate-segmentation was performed.

Directed Acyclic Graphs in Decision-Analytic Modeling: Bridging Causal Inference and Effective Model Design in Medical Decision Making.

Our commentary proposes the application of directed acyclic graphs (DAGs) in the design of decision-analytic models, offering researchers a valuable and structured tool to enhance transparency and accuracy by bridging the gap between causal inference and model design in medical decision making.The practical examples in this article showcase the transformative effect DAGs can have on model structure, parameter selection, and the resulting conclusions on effectiveness and cost-effectiveness.This methodological article invites a broader conversation on decision-modeling choices grounded in causal assumptions.

Case report: Reversible splenial lesion syndrome preceding the onset of multiple sclerosis.

Background: The reversible splenial lesion syndrome is frequently associated with systemic and central nervous system infections. Whether an infection associated with the occurrence of the reversible splenial lesion syndrome could play a role in the later development of multiple sclerosis is unknown.

Methods: Case Report.

Patient-Reported Outcome Measures in Patients with Diabetes Mellitus: Findings from the Diabetes Landeck Cohort.

Introduction: Maintaining and optimizing quality of life (QoL) is a central issue and one of the most important goals in therapy for patients with chronic diseases, such as diabetes mellitus (DM). Despite its importance, there is little data on the QoL of patients with DM in Austria. The objective of this study was to extend an established population-based cohort, the Diabetes-Landeck cohort, by including patient-reported outcomes.

Epilepsy and employment: A qualitative interview study with heads of human resources and occupational physicians in Austria - A call for legislative optimization according to the WHO Intersectoral Global Action Plan.

Objective: People with epilepsy (PWEs) often face difficulties in obtaining or keeping employment. To determine the views on this topic of the heads of human resources (HHRs) and occupational physicians (OCPs).

Method: Twelve HHRs and five OCPs underwent a telephone interview concerning the opportunities and limitations of job applications for PWEs.

Risk prediction tools for pressure injury occurrence: an umbrella review of systematic reviews reporting model development and validation methods.

Background: Pressure injuries (PIs) place a substantial burden on healthcare systems worldwide. Risk stratification of those who are at risk of developing PIs allows preventive interventions to be focused on patients who are at the highest risk. The considerable number of risk assessment scales and prediction models available underscores the need for a thorough evaluation of their development, validation, and clinical utility.

Experiences of nursing staff in Swiss-German nursing homes in with constipation management: A qualitative-descriptive study.

Despite existing guidelines for constipation management, constipation remains a prevalent issue among older individuals in long-term care facilities. The aim of this qualitative study was to provide an overview of nursing constipation management and the associated challenges in Swiss-German nursing homes. From September to December 2022, 51 nursing staff from 20 nursing homes were surveyed online, using literature-based open questions.

Conjunctival Bulbar Redness Extraction Pipeline for High-Resolution Ocular Surface Photography.

Purpose: To extract conjunctival bulbar redness from standardized high-resolution ocular surface photographs of a novel imaging system by implementing an image analysis pipeline.

Methods: Data from two trials (healthy; outgoing ophthalmic clinic) were collected, processed, and used to train a machine learning model for ocular surface segmentation. Various regions of interest were defined to globally and locally extract a redness biomarker based on color intensity.

Testing measurement invariance in a conditional likelihood framework by considering multiple covariates simultaneously.

This article addresses the problem of measurement invariance in psychometrics. In particular, its focus is on the invariance assumption of item parameters in a class of models known as Rasch models. It suggests a mixed-effects or random intercept model for binary data together with a conditional likelihood approach of both estimating and testing the effects of multiple covariates simultaneously.

Myoclonus After Cardiac Arrest: Need for Standardization-A Systematic Review and Research Proposal on Terminology.

Objectives: Although myoclonus less than or equal to 72 hours after cardiac arrest (CA) is often viewed as a single entity, there is considerable heterogeneity in its clinical and electrophysiology characteristics, and its strength of association with outcome. We reviewed definitions, electroencephalogram, and outcome of myoclonus post-CA to assess the need for consensus and the potential role of electroencephalogram for further research.

Data Sources: PubMed, Embase, and Cochrane databases.

Validation Against Polysomnography of a Transthoracic Impedance Sensor for Screening of Sleep Apnea in Heart Failure Patients: A Pooled Analysis of AIRLESS and UPGRADE.

Cardiac implantable electronic devices and their integrated thoracic impedance sensors have been used to detect sleep apnea for over a decade now. Despite their usage in daily clinical practice, there are only limited data on their diagnostic accuracy. AIRLESS and UPGRADE were prospective investigator-driven trials meant to validate the AP scan (Boston Scientific, Marlborough, MA, USA) in heart failure cohorts.

The contribution of motor identity prediction to temporal binding.

Temporal binding describes an illusory compression of time between voluntary actions and their effects. In two experiments, using stable, preexisting action-effect associations, we investigated whether motor identity prediction (prediction of the effect's identity) enhances temporal binding. Touch-typists performed keystrokes and were presented with congruent (corresponding letter) or incongruent (noncorresponding letter) effects after different intervals.

The interplay of NAD and hypoxic stress and its relevance for ageing.

Nicotinamide adenine dinucleotide (NAD) is an essential regulator of cellular metabolism and redox processes. NAD levels and the dynamics of NAD metabolism change with increasing age but can be modulated via the diet or medication. Because NAD metabolism is complex and its regulation still insufficiently understood, achieving specific outcomes without perturbing delicate balances through targeted pharmacological interventions remains challenging.

Evaluations of digital public health interventions in the WHO Southeast Asia Region: a systematic literature review.

Introduction: Digital health technologies have been enhancing the capacity of healthcare providers and, thereby, the delivery of targeted health services. The Southeast Asia Region (SEAR) has invested in strengthening digital public health. Many digital health interventions have been implemented in public health settings but are rarely assessed using the holistic health technology assessment (HTA) approach.

Improvement by imagining actions: Bimanual transfer effects after action imagery practice in a sequential reaction time task.

Action-imagery-practice refers to the repetitive use of action imagery to improve subsequent performance leading to partially different representation types than action-execution-practice (AEP). This study explored the representation types in kinesthetic action-imagery-practice (K-AIP) and visual action-imagery-practice (V-AIP) in a serial reaction time task using the crossed hand transfer paradigm. 169 participants (age M ± SD = 25.

Effects of the Tovertafel on apathy, social interaction and social activity of people with dementia in long-term inpatient care: results of a non-controlled within-subject-design study.

Introduction: Tovertafel is a VR-based serious game for dementia care (SGDC) that aims to stimulate residents affected by dementia in nursing homes, promote social and cognitive skills and reduce apathy. The aim of this study is to investigate the effects of using Tovertafel on apathy, social interaction and social activity of people with dementia (PWD) in long-term inpatient care in Germany.

Methods: In this monocentric intervention study, 25 residents of an inpatient long-term care facility with moderate or severe dementia had two weekly applications of Tovertafel over a period of 8 weeks.

A unified framework for diagnostic test development and evaluation during outbreaks of emerging infections.

Evaluating diagnostic test accuracy during epidemics is difficult due to an urgent need for test availability, changing disease prevalence and pathogen characteristics, and constantly evolving testing aims and applications. Based on lessons learned during the SARS-CoV-2 pandemic, we introduce a framework for rapid diagnostic test development, evaluation, and validation during outbreaks of emerging infections. The framework is based on the feedback loop between test accuracy evaluation, modelling studies for public health decision-making, and impact of public health interventions.

Determining Targets for Antiretroviral Drug Concentrations: A Causal Framework Illustrated With Pediatric Efavirenz Data From the CHAPAS-3 Trial.

Background: Determining a therapeutic window for maintaining antiretroviral drug concentrations within an appropriate range is required for identifying effective dosing regimens. The limits of this window are typically calculated using predictive models. We propose that target concentrations should instead be calculated based on counterfactual probabilities of relevant outcomes and describe a counterfactual framework for this.

Stress and the City: Mental Health in Urbanized vs. Rural Areas in Salzburg, Austria.

Background: Living in the city is associated with a higher risk of suffering from stress, anxiety, and depression. Due to an increase of migration to the city, the association between mental health and city life is highly relevant to society.

Methods: We analyzed data of 9573 participants (Ø 55.