Although the evaluation of the uncertainty of an analytical method is a mandatory step in the method's validation, its applicability to the monitoring of trace compounds in complex samples is not simple, nor is it part of the routine of most laboratories, namely those dedicated to research. This manuscript focuses on the full validation of an analytical procedure for determining trace concentrations of twenty-four pharmaceutical active compounds (PhACs) in wastewaters using solid-phase extraction (SPE) and ultra-high performance liquid chromatography coupled with tandem mass spectrometry (UHPLC-MS/MS). The method optimization was performed on different wastewater matrices, namely influents and final effluents from two distinct wastewater treatment plants (WWTPs). Matrix effects and extraction efficiency (absolute recovery) of the developed method were determined. Validation was performed to obtain the method's linearity/working range, precision, trueness, method detection limits (MDLs) and method quantification limits (MQLs). The expanded uncertainty of the data obtained was estimated according to the requirements of international procedures dedicated to the expression of uncertainty. Different approaches for the estimation of uncertainty were applied. The validated method was used in the analysis of target PhACs in wastewater samples collected at two WWTPs. The obtained results facilitated the introduction of a validated method for routine measurement of PhACs in wastewater samples and allowed method accreditation by the competent national authority.
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http://dx.doi.org/10.1039/d2ay01676a | DOI Listing |
Genet Med
December 2024
Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN; Center for Digital Genomic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN. Electronic address:
Purpose: The value of genetic information for improving the performance of clinical risk prediction models has yielded variable conclusions. Many methodological decisions have the potential to contribute to differential results. We performed multiple modeling experiments integrating clinical and demographic data from electronic health records (EHR) with genetic data to understand which decisions may affect performance.
View Article and Find Full Text PDFJ Eval Clin Pract
February 2025
Akşehir Kadir Yallagöz Health School, Selcuk University, Konya, Türkiye.
Aim: The purpose of this study is to compare the efficacy of an artificial intelligence (AI)-based care plan learning strategy with standard training techniques in order to determine how it affects nursing students' learning results in newborn resuscitation.
Methods: Seventy third-year nursing students from a state university in Türkiye participated in the study. They were split into two groups: the experimental group, which received care plans based on AI, and the control group, which received traditional instruction.
J Eval Clin Pract
February 2025
Centre for Health Care Management, Faculty of Management, University of Warsaw, Warsaw, Poland.
Intro: The article tests the hypothesis that we can draw practical knowledge from the experience of service providers operating in the past. The research questions were formulated: can the historical example of the organization of medical care in the Polish Children's Hospital named after Karol and Maria be used as a viable example today? Is it relevant for contemporary practitioners? And do we still use the knowledge of predecessors? The authors decided to use the interwar Hospital and an operating paediatric ward of the Child-Friendly Hospital for a comparative analysis.
Methods: The model of the European Regional Office of the World Health Organization for integrated delivery of health services was adopted as the analysis framework.
J Eval Clin Pract
February 2025
Department of Midwifery, Faculty of Health Sciences, Biruni University, Istanbul, Türkiye.
Introduction: The sense of smell is one of the most developed and important senses that forms the bond between the newborn and the mother and allows the newborn to reach the mother's breast. The sense of smell begins to form during intrauterine life, and the sense of smell can be a marking tool for a newborn baby, so that the baby can recognize both his mother and his immediate environment and develop his behaviour accordingly. This is necessary not only for feeding babies but also for them to feel safe and peaceful in their new environment.
View Article and Find Full Text PDFJ Eval Clin Pract
February 2025
College of Medicine, University of Central Florida, Orlando, Florida, USA.
Aims And Objectives: Approximately 50% of Americans report having low health insurance literacy, leading to uncertainty when choosing their insurance coverage to best meet their healthcare needs. Therefore, we aimed to evaluate the association between lack of prescription drug benefit knowledge and problems paying medical bills among Medicare beneficiaries.
Methods: We analysed the 2021 Medicare Current Beneficiary Survey Public Use File of 5586 Medicare beneficiaries aged ≥ 65 years.
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