Publications by authors named "C Decker"
Background: Data quality is fundamental to maintaining the trust and reliability of health data for both primary and secondary purposes. However, before the secondary use of health data, it is essential to assess the quality at the source and to develop systematic methods for the assessment of important data quality dimensions.
Objective: This case study aims to offer a dual aim-to assess the data quality of height and weight measurements across 7 Belgian hospitals, focusing on the dimensions of completeness and consistency, and to outline the obstacles these hospitals face in sharing and improving data quality standards.
Background: HEV is a positive-sense, single-stranded RNA virus of the Hepeviridae family. Although HEV accounts for more than 3 million symptomatic cases of viral hepatitis per year, specific anti-HEV therapy and knowledge about HEV pathogenesis are scarce.
Methods: To gain a deeper understanding of the HEV infectious cycle and guide the development of novel antiviral strategies, we here used an RNAi mini screen targeting a selection of kinases, including mitogen-activated protein kinases, receptor tyrosine kinases, and Src-family kinases.
Article Synopsis
- The study aimed to create a patient decision aid (PDA) to help patients with chronic coronary disease (CCD) understand their options for invasive vs. conservative management, drawing on data from the ISCHEMIA trial.
- Through focus groups with patients, caregivers, and healthcare professionals, researchers identified key patient priorities, emphasizing the importance of survival and quality of life in treatment decisions, as well as a preference for visual tools to illustrate outcomes.
- Participants valued shared decision-making but often relied on clinicians for guidance, expressing a desire to use the PDA collaboratively during consultations to facilitate informed choices.
Genomic epidemiology offers important insight into the transmission and evolution of respiratory viruses. We used metagenomic sequencing from negative SARS-CoV-2 antigen tests to identify a wide range of respiratory viruses and generate full genome sequences, offering a streamlined mechanism for broad respiratory virus genomic surveillance.
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