Evidence map›Paper›PMID 35515888›Full record

ArticleBMJ simulation & technology enhanced learning2018

Systematic review of the implementation of audience response systems and their impact on participation and engagement in the education of healthcare professionals.

Morkos Iskander

Open access · greenAbstract read
In one paragraph

Article in BMJ simulation & technology enhanced learning, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 79% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

1 author at 1 institution in 1 country.

Morkos IskanderDepartment of Urology, Whiston Hospital, Health Education North West, Prescot, UK.ORCID 0000-0002-1173-0805
Health Education North West · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Audience response system provides a mechanism to engage larger groups as active participants in teaching sessions. However, they are traditionally based on 'fixed' closed loop system, which limits their functionality to a single geographical location, thus has the effect of confining their use to universities and other larger institutions, with a primary focus on education. Conversely, in the healthcare education context, the majority of formal education is undertaken through postgraduate training programmes, largely conducted in smaller cohorts in clinical settings. Objective: The purpose of this review is to evaluate audience response systems in terms of feasibility of implementation and the impact on participation within the field of education of healthcare professionals, in comparison to the non-healthcare education. Study selection: Therefore, systematic structured searches of PubMed and Medline databases for healthcare education were conducted, and Scopus, Education Resources Information Center, British Education Index, Education Abstracts, Education Administration Abstracts and PsycINFO databases for non-healthcare education databases. Findings and conclusions: Consistent and fundamental differences were found in the studies evaluating healthcare education compared with other fields, with more difficulties encountered in implementation and a less significant impact on engagement seen. Here we discuss the consequences of these findings on the use of audience response systems and beyond.

Indexed as

audience response systemsclassroom response systemsclickersreview

Identifiers

PMID35515888
PMCPMC8936989
OpenAlexW2772924921

What OpenQuestion holds

Textmetadata
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.