Evidence map›Paper›PMID 36204721›Full record

ArticleOpen access emergency medicine : OAEM2022

Interprofessional On-floor Education on Oxygen Therapy in COVID-19 Patients, Cardiac Arrest, and Procedural Sedation: Perception of Health-care Workers in Emergency Setting.

Munawar Farooq, Shabbir Ahmad, Faisal K Hanjra, Obaidullah Zafar, Khalid Bashir

Open access · goldAbstract read
In one paragraph

Article in Open access emergency medicine : OAEM, 2022. 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
0.3field-weighted citation impact, top 42% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

5 authors at 1 institution in 1 country.

Munawar FarooqEmergency Department, Hamad General Hospital, Doha, Qatar.
Shabbir AhmadEmergency Department, Hamad General Hospital, Doha, Qatar.
Faisal K HanjraEmergency Department, Hamad General Hospital, Doha, Qatar.
Obaidullah ZafarEmergency Department, Hamad General Hospital, Doha, Qatar.
Khalid BashirEmergency Department, Hamad General Hospital, Doha, Qatar.ORCID 0000-0003-4213-4667
Hamad General Hospital · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: There is paucity of evidence for interprofessional education (IPE) conducted within the working environment of emergency departments (EDs). This study demonstrates favorable perception of on-floor IPE sessions conducted in a busy emergency department. Materials and Methods: Between January and December 2020, IPE was conducted in EDs using low fidelity manikins and involved nurses, doctors, respiratory therapists, and medical students already present on floor. The three key areas were, taught cardiac arrest, escalating oxygen therapy for COVID-19 patients, and procedural sedation. Each session lasted 30 min, and feedback was obtained immediately after the session in both transcribed and written forms through scannable survey monkey links. Results: Forty-seven sessions were conducted covering the three topics for 141 participants. The majority of the participants benefited from on-floor IPE and preferred this approach in the future. Both participant and faculty recommended to have some protected time to maximize the learnings. Conclusion: IPE in the clinical environment is feasible, with careful planning it can enhance collaborative learning in the ED.

Indexed as

cardiac arrestclinical environmentCOVID-19emergency departmentinterprofessional educationprocedural sedation

Identifiers

PMID36204721
PMCPMC9531615
OpenAlexW4297968933

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.