Evidence map›Paper›PMID 33081766›Full record

ArticleBMC medical education2020

Regression analyses of questionnaires in bedside teaching.

Wolf Ramackers, Julia Victoria Stupak, Indra Louisa Marcheel, Annette Tuffs, Harald Schrem, Volkhard Fischer, Jan Beneke

Open access · goldAbstract read
In one paragraph

Article in BMC medical education, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

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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 2 institutions in 2 countries.

Wolf RamackersGeneral, Visceral and Transplant Surgery, Hannover Medical School, Hannover, Germany. ramackers.wolf@mh-hannover.de.ORCID http://orcid.org/0000-0002-5593-7330
Julia Victoria StupakTransplantation Centre, Management-Team, Hannover Medical School, Hannover, Germany.
Indra Louisa MarcheelTransplantation Centre, Management-Team, Hannover Medical School, Hannover, Germany.
Annette TuffsTransplantation Centre, Management-Team, Hannover Medical School, Hannover, Germany.
Harald SchremDepartment of General, Visceral and Transplant Surgery, Medical University Graz, Graz, Austria.
Volkhard FischerOffice of the Dean of Studies, Hannover Medical School, Hannover, Germany.
Jan BenekeTransplantation Centre, Management-Team, Hannover Medical School, Hannover, Germany.
Medizinische Hochschule Hannover · DEMedical University of Graz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudents' ratings of bedside teaching courses are difficult to evaluate and to comprehend. Validated systematic analyses of influences on students' perception and valuation of bedside teaching can serve as the basis for targeted improvements.

methodsSix hundred seventy-two observations were conducted in different surgical departments. Survey items covered the categories teacher's performance, student's self-perception and organizational structures. Relevant factors for the student overall rating were identified by multivariable linear regression after exclusion of variable correlations > 0.500. The main target for intervention was identified by the 15% worst overall ratings via multivariable logistic regression.

resultsAccording to the students the success of bedside teaching depended on their active participation and the teacher's explanations of pathophysiology. Further items are both relevant to the overall rating and a possible negative perception of the session. In comparison, negative perception of courses (worst 15%) is influenced by fewer variables than overall rating. Variables that appear in both calculations show slight differences in their weighing for their respective endpoints.

conclusionRelevant factors for overall rating and negative perception in bedside teaching can be identified by regression analyses of survey data. Analyses provide the basis for targeted improvement.

Indexed as

StudentsStudents, MedicalAchievementHumansRegression AnalysisSurveys and QuestionnairesTeachingBedside teachingMultivariable regressionQuality managementStudent evaluationStudent survey

Identifiers

PMID33081766
PMCPMC7574454
OpenAlexW3094214443

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.