ArticleNaunyn-Schmiedeberg's archives of pharmacology2022
COVID-19 pandemic-related adaptations of medical education in clinical pharmacology - impact on students and lecturers at a German university.
Article in Naunyn-Schmiedeberg's archives of pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Reimagining pharmacology education.Pharmacological reviews · 2026Review
- What role do traditional pharmacology textbooks play in medical students' education and exam preparation?Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- "It would be nice if the university appreciated the commitment more" - medical students and their learning and working experiences as co-caregivers during the pandemic.GMS journal for medical education · 2025Article
- Digitalization in Medicine: Are German Medical Students Well Prepared for the Future?International journal of environmental research and public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In medical studies, pharmacology is a subject with a high teaching and study load. The COVID-19 pandemic-related switch to distance learning implies challenges for students and teachers. To identify changes of behavior, attitudes, and needs among students and teachers in clinical pharmacology during the pandemic, regular surveys were conducted at Ulm University, Germany. Overall, 884 students and 5 teachers answered the survey. Over time, students' usage of learning materials in print form and further literature (textbooks, guidelines) constantly decreased. In turn, most students used digital materials provided via a learning management system. Attitudes and opinions of students and teachers significantly differed regarding (i) the benefit of certain teaching formats and learning materials, (ii) open-mindedness towards e-learning, and (iii) future visions. Most students and lecturers stated that they spent more time on study or teaching-related activities, respectively, and had less contact with fellow students or colleagues in comparison to pre-pandemic times. Furthermore, the subjective teaching load for most lecturers (80%) increased during the pandemic. To identify determinants of learning success, the survey data were correlated with students' gradings in the written exams of clinical pharmacology. In the first online semester (summer term 2020), the use of paper-based learning scripts was correlated with better exam grades. No correlation with grade was found for any other learning materials. Age was inversely correlated with exam grading. Striking a balance between the future visions and needs of students and teachers implies a particular challenge for the educational system of the next years.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.