ArticlePravention und Gesundheitsforderung2023
[Digital higher education in the first COVID-19 semester. A survey of teachers in public health, medicine and nursing].
Article in Pravention und Gesundheitsforderung, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Transforming educator expectations in public health, nursing, and medicine: a two-phase survey on digital tools in education.BMC medical education · 2025Article
- Development of smart digital interactive service as a strategy for guidance and counseling services in higher education.Journal of education and health promotion · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The coronavirus disease 2019 (COVID-19) pandemic has driven the digitisation in higher education institutions. At the same time, digital higher education teaching faced the challenge of designing teaching in the context of pre-existing resources, digital and didactic skills, and available technical infrastructure. Objective: The aim of the survey was to assess the assessment/evaluation of digital teaching, which has largely or completely replaced face-to-face teaching as a result of the COVID-19 pandemic, from the perspective of lecturers in public health, medicine and nursing. Materials and methods: The cross-sectional survey took place online from June to August 2020 and data were collected via www.soscisurvey. The written survey was conducted among members of the German Society for Public Health (DGPH) and the Digitisation Committee of the Society for Medical Education (GMA) and the Education and Counselling Sections of the German Society for Nursing Science (DGP), and the Teaching Working Group of the German Society for Medical Sociology (DGMS) ( Results: In terms of the use of digital technologies in the courses, presentation tools ranked first, followed by learning management systems, video content and digital texts. With regard to the use of tools, participants most frequently mentioned various video conference tools). The creation of instructional videos was affirmed by 53% of the respondents; voting tools were mentioned as unknown by over 50%. Digital infrastructure of the universities, lack of didactic advice/support and legal questions (rights of use, data protection) were cited as challenges. Conclusion: New technology is mainly used for knowledge acquisition, knowledge transfer, rarely for activating students and designing collaborative teaching and learning arrangements as well as redesigning learning tasks and learning processes (individualised learning). Which of the currently tested digital teaching and learning formats will be increasingly used in university teaching in the future depends on many factors, including digital competence and the willingness of teachers and students to help develop the digital learning culture.
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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.