Evidence map›Paper›PMID 33318846›Full record

SynthesisNursing open2021

The effect of multiple exposures in scenario-based simulation-A mixed study systematic review.

Alette H Svellingen, Margrethe B Søvik, Kari Røykenes, Guttorm Brattebø

Abstract readSystematic Review
In one paragraph

Synthesis in Nursing open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
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.

Alette H SvellingenCentre of Diaconia and Professional Practice VID Specialized University Oslo Norway.ORCID 0000-0002-0623-9966
Margrethe B SøvikFaculty of Health Studies VID Specialized University Bergen Norway.
Kari RøykenesFaculty of Health Studies VID Specialized University Bergen Norway.
Guttorm BrattebøDepartment of Anaesthesia & Intensive Care Haukeland University Hospital Bergen Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: To examine the use and effects of multiple simulations in nursing education. Design: A mixed study systematic review. Databases (CINAHL, Medline, PubMed, EMBASE, ERIC, Education source and Science Direct) were searched for studies published until April 2020. Method: Researchers analysed the articles. Bias risk was evaluated using the Critical Appraisal Skills Programme and Cochrane Risk of Bias tool. Results: In total, 27 studies were included and four themes identified. Students participated in multiple simulation sessions, over weeks to years, which included 1-4 scenarios in various nursing contexts. Simulations were used to prepare for, or partly replace, students' clinical practice. Learning was described in terms of knowledge, competence and confidence. Conclusion: Multiple scenario-based simulation is a positive intervention that can be implemented in various courses during every academic year to promote nursing students' learning. Further longitudinal research is required, including randomized studies, with transparency regarding study design and instruments.

Indexed as

Education, NursingStudents, NursingClinical CompetenceHumansLearningclinical competenceeducationlearningmixed study systematic reviewmultiple simulationnursing studentsscenario‐based simulation

Identifiers

PMID33318846
PMCPMC7729777

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.