Medical students' prescribing competencies are insufficient. So far, surveys focused on final-year students. Knowledge and confidence seem important, but their development during medical studies are unclear. This study investigated whether students perceived deficits in pharmacological knowledge change during medical studies. Alumni were included to look for changes occurring after graduation. Medical students at different stages of their studies were invited to fill in paper-and-pencil (6th-, 8th-, 9th- and 10th-term students) or online questionnaires (final-year students and alumni) regarding their self-assessed deficits in pharmacology. Questionnaires have been developed based on previous interviews with 10th-term students. We differentiated between declarative and application-oriented knowledge. In total, data from 816 participants could be analysed. Self-assessment regarding declarative knowledge changed during medical studies, being more sceptical in terms without pharmacology courses. Of note, self-assessment of application-oriented knowledge remained constantly low throughout, although our pharmacology courses use problem-based learning. Tenth-term students were most sceptical, perhaps influenced by an obligatory, formative, simulation-based, 1-week course, preparing students for their final practical year. Compared to students, alumni were significantly less sceptical regarding application-oriented knowledge. Students' self-assessment of deficits in pharmacological knowledge changes throughout their studies, presumably in association with pharmacology courses. Overall, students are rather sceptical, especially with regard to application-oriented knowledge. Our data further substantiate the European Association for Clinical Pharmacology and Therapeutics (EACPT) recommendations to improve pharmacology education throughout the entire medical curriculum, e.g. by providing more training in simulated and clinical environments.
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http://dx.doi.org/10.1007/s00210-018-1563-8 | DOI Listing |
Sud Med Ekspert
October 2024
Petrozavodsk State University, Petrozavodsk, Russia.
The study objective was to describe the formation of forensic microbiological examination as an analysis of a new type, defined as the detection and registration of reliably measured environmental and physiological changes within the microbial community of corpse in order to substantiate the possibility of using microbiological parameters to establish the prescription of death coming. It has been determined that the knowledge of the patterns of interaction of a human and his corpse with endogenous and exogenous flora provides the basis for solving a number of traditional and new application-oriented expert tasks and the allocation of such a variety of forensic examination as forensic microbiological examination. Endogenous and exogenous human flora and its interaction with living and dead biological tissues are the objects of this kind of examination, and the dynamic patterns of such interaction are the subject of study.
View Article and Find Full Text PDFBMC Pediatr
October 2024
School of Nursing, Shanghai Jiao Tong University, 227 South Chongqing Road, Building 1, Room 213, Shanghai, 200025, China.
Background: Quality caregiver-infant interaction is crucial for infant growth, health, and development. Traditional methods for evaluating the quality of caregiver-infant interaction have predominantly relied on rating scales or observational techniques. However, rating scales are prone to inaccuracies, while observational techniques are resource-intensive.
View Article and Find Full Text PDFJMIR Med Educ
October 2024
AG Versorgungsforschung Pflege im Krankenhaus, Departement of Internal Medicine, University Medicine Halle (Saale), Halle (Saale), Germany.
Heliyon
August 2024
College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 102488, PR China.
Aim Of The Study: To analyze the progress in Mongolian medicine and medicinal materials and to highlight its development process, emerging trends, and hotspots.
Materials And Methods: Papers on Mongolian medicine and medicinal materials from January 2000 to May 2022 were retrieved from the China National Knowledge Infrastructure (CNKI) database. Using the collaboration network analysis of CiteSpace V and VOSviewer software, the cooperation among individuals and institutions in the field of scientific research was analyzed.
Commun Chem
May 2024
Molecular Modeling Group, SIB Swiss Institute of Bioinformatics, CH-1015, Lausanne, Switzerland.
Estimating protein targets of compounds based on the similarity principle-similar molecules are likely to show comparable bioactivity-is a long-standing strategy in drug research. Having previously quantified this principle, we present here a large-scale evaluation of its predictive power for inferring macromolecular targets by reverse screening an unprecedented vast external test set of more than 300,000 active small molecules against another bioactivity set of more than 500,000 compounds. We show that machine-learning can predict the correct targets, with the highest probability among 2069 proteins, for more than 51% of the external molecules.
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