Evidence map›Paper›PMID 34057586›Full record

ArticleDer Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft2022

[Ophthalmic emergencies: training via interactive key feature cases for medical students].

Andreas Müller, Felix M Wagner, Alexander K Schuster, Betül Günal, Norbert Pfeiffer, Franziska Schmidt, Verena Prokosch

Open access · hybridAbstract read
In one paragraph

Article in Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 53% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. [Implementation of a digital semester for ophthalmology during the COVID-19 pandemic].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2021
    Article
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

7 authors at 1 institution in 1 country.

Andreas MüllerAugenklinik und Poliklinik der Universitätsmedizin Mainz, Johannes Gutenberg-Universität Mainz, Langenbeckstr. 1, 55131, Mainz, Deutschland. mueller.a@live.de.ORCID http://orcid.org/0000-0001-8703-2942
Felix M WagnerAugenklinik und Poliklinik der Universitätsmedizin Mainz, Johannes Gutenberg-Universität Mainz, Langenbeckstr. 1, 55131, Mainz, Deutschland.
Alexander K SchusterAugenklinik und Poliklinik der Universitätsmedizin Mainz, Johannes Gutenberg-Universität Mainz, Langenbeckstr. 1, 55131, Mainz, Deutschland.
Betül GünalAugenklinik und Poliklinik der Universitätsmedizin Mainz, Johannes Gutenberg-Universität Mainz, Langenbeckstr. 1, 55131, Mainz, Deutschland.
Norbert PfeifferAugenklinik und Poliklinik der Universitätsmedizin Mainz, Johannes Gutenberg-Universität Mainz, Langenbeckstr. 1, 55131, Mainz, Deutschland.
Franziska SchmidtZentrum für Qualitätssicherung und -entwicklung, Johannes Gutenberg-Universität Mainz, Mainz, Deutschland.
Verena ProkoschAugenklinik und Poliklinik der Universitätsmedizin Mainz, Johannes Gutenberg-Universität Mainz, Langenbeckstr. 1, 55131, Mainz, Deutschland.
Johannes Gutenberg University Mainz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutonomous diagnosis and assessment of medical emergencies are important skills to acquire for medical students. Ophthalmology features certain specialty-specific "red flag" signs and symptoms, which pose a challenge for educators in ophthalmology. To support medical students in identifying those "red flags" we developed and implemented interactive cases for our e‑learning platform. MATERIAL AND

methodsA total of seven interactive cases with key feature problems regarding potentially dangerous signs and symptoms, such as painless loss of vision or red eye were developed. Medical students were guided through a case and performed formative assessments. The interactive cases were created with e‑learning authoring software and were available on the learning management system presence of the department of ophthalmology. They were mandatory for medical students in the ophthalmology course. Students evaluated the cases after the course.

resultsThe interactive cases were rated on average at 1.51 ± 0.68 (mean ± standard deviation; n = 163) on a grade scale (1 = best, 6 = worst). On a Likert scale they were perceived as helpful for individual learning at 1.60 ± 0.81 (1 = very helpful, 7 = not helpful at all; n = 164). The information provided on the cases and selection of scenarios was positively evaluated.

conclusionTo support students in identifying and managing ophthalmic emergencies in the context of limited time in tightly packed curricula, interactive key feature cases can be part of corresponding e‑learning resources. An integration of such cases was evaluated as desirable.

Indexed as

Education, Medical, UndergraduateOphthalmologyStudents, MedicalCurriculumEmergenciesHumansDigitalEducation, medicalE‑learningProcedural thinkingTeaching

Identifiers

PMID34057586
PMCPMC8763746
OpenAlexW3164673034

What OpenQuestion 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 OpenQuestion graph.