Preanalytical (Mis)Handling of Plasma Investigated by H NMR Metabolomics.

The preanalytical handling of plasma, how it is drawn, processed, and stored, influences its composition. Samples in biobanks often lack this information and, consequently, important information about their quality. Especially metabolite concentrations are affected by preanalytical handling, making conclusions from metabolomics studies particularly sensitive to misinterpretations.

Perspectives of healthcare professionals on cross-sectoral collaboration between mental health centers and municipalities: A qualitative study.

Aims: This paper aims to explore the intricacies of cross-sectoral collaboration in mental health care, focusing on the perspectives of health professionals across various disciplines. It seeks to understand how collaboration can enhance service delivery and patient outcomes while identifying existing challenges.

Background: The evolving healthcare landscape emphasizes the importance of integrating services across sectors, particularly in mental health care, to improve continuity and efficiency of care.

Health Professionals on Cross-Sectoral Collaboration Between Mental Health Hospitals and Municipalities: A Critical Discourse Analysis.

This study investigates the role of language in cross-sector collaboration between mental health hospitals and municipalities, focusing on the challenges of maintaining continuity of care and integrating patient-centered approaches. Using Fairclough's framework for critical discourse analysis, we examined focus group interviews with 21 healthcare professionals, including nurses, social workers, and psychiatrists, to identify key themes and patterns in how cross-sector collaboration is discussed. The analysis revealed a dominant medicalized discourse in hospital settings, which often emphasized structured care processes like treatment plans and medication management, overshadowing more flexible, patient-centered approaches common in community-based services.

Blending Samples to Increase Accuracy and Precision of H NMR Urine Metabolomics.

Urine is an equally attractive biofluid for metabolomics analysis, as it is a challenging matrix analytically. Accurate urine metabolite concentration estimates by Nuclear Magnetic Resonance (NMR) are hampered by pH and ionic strength differences between samples, resulting in large peak shift variability. Here we show that calculating the spectra of original samples from mixtures of samples using linear algebra reduces the shift problems and makes various error estimates possible.