Evidence map›Paper›PMID 33106760›Full record

ArticleAdvances in simulation (London, England)2020

Gerard J Gormley, Anu Kajamaa, Richard L Conn, Sarah O'Hare

Open access · goldAbstract read
In one paragraph

Article in Advances in simulation (London, England), 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
2.3field-weighted citation impact, top 10% 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, 18 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

4 authors at 2 institutions in 2 countries.

Gerard J GormleyCentre for Medical Education, Queen's University Belfast, Belfast, Northern Ireland.ORCID https://orcid.org/0000-0002-1701-7920
Anu KajamaaFaculty of Educational Sciences, University of Helsinki, Helsinki, Finland.ORCID https://orcid.org/0000-0002-6397-545X
Richard L ConnCentre for Medical Education, Queen's University Belfast, Belfast, Northern Ireland.ORCID https://orcid.org/0000-0002-2564-254X
Sarah O'HareCentre for Medical Education, Queen's University Belfast, Belfast, Northern Ireland.
Queen's University Belfast · GBUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe healthcare needs of our societies are continual changing and evolving. In order to meet these needs, healthcare provision has to be dynamic and reactive to provide the highest standards of safe care. Therefore, there is a continual need to generate new evidence and implement it within healthcare contexts. In recent times, in situ simulation has proven to have been an important educational modality to accelerate individuals' and teams' skills and adaptability to deliver care in local contexts. However, due to the increasing complexity of healthcare, including in community settings, an expanded theoretical informed view of in situ simulation is needed as a form of education that can drive organizational as well as individual learning. MAIN BODY: Cultural-historical activity theory (CHAT) provides us with analytical tools to recognize and analyse complex health care systems. Making visible the key elements of an in situ simulation process and their interconnections, CHAT facilitates development of a system-level view of needs of change.

conclusionIn this paper, we theorize how CHAT could help guide in situ simulation processes-to generate greater insights beyond the specific simulation context and bring about meaningful transformation of an organizational activity.

Indexed as

Activity theoryCommunity-based healthcareGeneral practiceIn situ simulation

Identifiers

PMID33106760
PMCPMC7582418
OpenAlexW3091867941

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.