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http://dx.doi.org/10.1016/j.resuscitation.2015.02.002 | DOI Listing |
Scand J Trauma Resusc Emerg Med
January 2025
Health Services Management Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Background: One way to measure emergency department (ED) performance is using key performance indicators (KPIs). Thus, identifying reliable KPIs can be critical in appraising ED performance. This study aims to introduce and classify the KPIs related to ED in simulations through the Balanced Scorecard (BSC) framework.
View Article and Find Full Text PDFDrug Discov Today
January 2025
Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands; Department of Clinical Pharmacy, Division Laboratory and Pharmacy, University Medical Center Utrecht, Utrecht, The Netherlands; Faculty of Pharmaceutical Sciences, University of Iceland, Reykjavik, Iceland. Electronic address:
Decentralized clinical trial (DCT) approaches - in which trial activities are conducted at participants' homes - have the potential to improve representativeness. We present a study that compared the demographics and cardiovascular risk factors of participants from a DCT (ASCEND) and a conventional trial with a similar trial objective (POPADAD) to those of patients in daily practice. We adjudicate that there are relevant differences when comparing the participants of the conventional trial and the DCT, with the latter providing better representativeness in terms of age, insulin use, smoking status, and body mass index, whereas conventional trial participants were more representative in terms of biological sex.
View Article and Find Full Text PDFFertil Steril
January 2025
Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Victoria, Australia; Department of Diabetes and Vascular Medicine, Monash Health, Victoria, Australia. Electronic address:
Clinical practice guidelines (CPGs) are critical tools to inform healthcare decision-making, yet development faces significant challenges in ensuring rigorous, reliable, and globally applicable recommendations. This review examines the essential standards and evolving approaches for creating high-quality, evidence-based guidelines that can effectively support clinical practice across diverse healthcare settings. Key standards for high-quality CPG development emerge from leading global health organizations, emphasizing several critical components - establishing a multidisciplinary development group, defining a clear and relevant scope, conducting systematic evidence reviews and meta-analyses, and ensuring transparency throughout the development process.
View Article and Find Full Text PDFJ Colloid Interface Sci
January 2025
Key Laboratory of Functional Inorganic Material Chemistry, Ministry of Education of the People's Republic of China, School of Chemistry and Materials Science, Heilongjiang University, Harbin 150080, PR China. Electronic address:
Photocatalytic reduction of CO to valuable chemicals is an effective strategy to address the environmental problems and energy crisis. Covalent organic frameworks (COFs) are emerging materials known for their excellent diverse properties, albeit limited by special synthetic methods, including high temperature (120 °C) and the necessity of inert gas atmosphere. Herein, a novel synthesis method under room temperature and air was optimized to form TpPa-COF (TP-COF) by p-phenylenediamine (Pa) and 2,4,6-triformyl phloroglucinol (Tp) through electrostatic self-assembly.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
Institute for Health Care Management and Research, University of Duisburg-Essen, Essen, Germany.
Background: Artificial intelligence (AI)-based clinical decision support systems (CDSS) have been developed for several diseases. However, despite the potential to improve the quality of care and thereby positively impact patient-relevant outcomes, the majority of AI-based CDSS have not been adopted in standard care. Possible reasons for this include barriers in the implementation and a nonuser-oriented development approach, resulting in reduced user acceptance.
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