Enabling the return-to-work process among people with affective disorders: A multiple-case study

Background: The Individual Enabling and Support (IES) model is an adapted, supported employment program developed to meet motivational, cognitive and time-use needs of people with affective disorders. Vocational programs for this target group have been developed but more knowledge is needed about the important characteristics and perceived usefulness of the programs. The aim of this study was to illustrate the IES model and process from multiple perspectives.

Methods: Five participants were included in this multiple-case study. The material comprised interviews with participants, intervention documents, memos and interviews with employment specialists. Within and cross-case analyzes and an analytical generalization were performed.

Results: The cases illustrated different IES processes, and the theme; Enabling engagement in return to work (RTW) was formulated. Continuous support from the employment specialist and a focus on personal resources and motivation were essential to overcome low self-confidence regarding RTW. Motivational, cognitive and time-use strategies gave an opportunity to learn new behavior and coping strategies for job seeking, getting employed and working.

Conclusion: Providing a combination of these strategies integrated with supported employment could promote self-efficacy and engagement in the RTW process among people on sick leave due to an affective disorder.     

Differentiated Thyroid Cancer in Children: A UK Multicentre Review and Review of the Literature

Aims

To obtain an overview of the management and outcomes of children aged 18 years or younger diagnosed with differentiated thyroid carcinoma of follicular cell origin across the UK, by collecting and analysing data from the limited number of centres treating these patients. This multicentre data might provide a more realistic perspective than single-institution series.

Pharmacotherapeutic management of acute alcohol withdrawal syndrome in critically Ill patients

ABSTRACT

Introduction

Alcohol withdrawal syndrome is a common and life-threatening condition in patients suffering from alcohol use disorder. Treatment of this syndrome is challenging, especially in patients that are critically ill, either because of withdrawal symptoms or underlying conditions. For the treatment, several pharmacological agents exist, such as benzodiazepines, barbiturates, or dexmedetomidine. Nonetheless, as alcohol withdrawal syndromes can occur in every clinical setting, it is necessary to provide a guideline for clinicians confronted with this syndrome in varying clinical contexts.     

Degree of Bystander-Patient Relationship and Prehospital Care for Opioid Overdose

Abstract

Background

Across the spectrum of patient care for opioid overdose, an important, yet frequently overlooked feature is the bystander, or witness to the overdose event. For other acute medical events such as cardiac arrest and stroke, research supports that the presence of a bystander is associated with better outcomes. Despite the similarities, however, this well-established conceptual framework has yet to be applied in the context of overdose patient outcomes. The objective of this study was to assess the association between the nature of the bystander-patient relationship and prehospital care measures in patients being treated for opioid overdose.     

locStra: Fast analysis of regional/global stratification in whole‐genome sequencing studies

locStra is an ‐package for the analysis of regional and global population stratification in whole‐genome sequencing (WGS) studies, where regional stratification refers to the substructure defined by the loci in a particular region on the genome. Population substructure can be assessed based on the genetic covariance matrix, the genomic relationship matrix, and the unweighted/weighted genetic Jaccard similarity matrix. Using a sliding window approach, the regional similarity matrices are compared with the global ones, based on user‐defined window sizes and metrics, for example, the correlation between regional and global eigenvectors. An algorithm for the specification of the window size is provided. As the implementation fully exploits sparse matrix algebra and is written in C++, the analysis is highly efficient. Even on single cores, for realistic study sizes (several thousand subjects, several million rare variants per subject), the runtime for the genome‐wide computation of all regional similarity matrices does typically not exceed one hour, enabling an unprecedented investigation of regional stratification across the entire genome. The package is applied to three WGS studies, illustrating the varying patterns of regional substructure across the genome and its beneficial effects on association testing.     

Midterm Outcomes of the Dissected Aorta Repair Through Stent Implantation Trial

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Association of Multiple Plasma Biomarker Concentrations with Progression of Prevalent Diabetic Kidney Disease: Findings from the Chronic Renal Insufficiency Cohort (CRIC) Study

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