Evidence mapPaperPMID 40167765Full record

ArticleBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2025

[Digital learning methods in pharmacy].

Christoph Ritter

Abstract readEnglish Abstract
In one paragraph

Article in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Christoph RitterInstitut für Pharmazie, Klinische Pharmazie, Universität Greifswald, Friedrich-Ludwig-Jahn-Str. 17, 17489, Greifswald, Deutschland. ritter@uni-greifswald.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the outbreak of the SARS-CoV‑2 pandemic in March 2020 and the associated restrictions on teaching, digital learning methods were increasingly used at many universities. Digital learning methods generally include fully or partially digitized learning elements such as lecture recordings, open learning materials, or e‑portfolios. Fully or partially digitized learning formats include game-based learning, the inverted classroom, mobile learning, the use of social media, online peer and collaborative learning, and adaptive learning. Digitized realities are created in the context of simulation-based learning and in augmented and virtual reality. Online-based event formats and online degree programs are characterized by an almost exclusive proportion of internet-based learning phases.The extent to which digital learning methods are used in pharmacy courses in Germany is explained in this article using selected practical examples. The selected examples include the creation of an audio podcast to assess the performance of a clinical chemistry internship as a form of digital learning element, the use of a digital analysis tool to carry out medication analyses as an example of mobile learning, a blended learning concept to teach the basics of clinical pharmacy, an online concept of virtual bedside teaching, and a game-like simulation for dispensing medicines. The inclusion of artificial intelligence can be helpful in the development and implementation of digital learning offerings. However, a sufficiently high quality and critical approach must be guaranteed.

Indexed as

Computer-Assisted InstructionEducation, DistanceEducation, PharmacyCOVID-19CurriculumGermanyHumansPandemicsApplication examplesArtificial intelligenceDigital teachingGermanyPharmacy

Identifiers

PMID40167765
PMCPMC12075329

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.