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GENESISS 2-Generating Standards for In-Situ Simulation project: a systematic mapping review.

Kerry Evans1, Jenny Woodruff2, Alison Cowley3

  • 1Nottingham University Hospitals Trust, Institute of Care Excellence, Nottingham, UK. Kerry.evans1@nottingham.ac.uk.

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Summary

In-situ simulation in healthcare is feasible and beneficial for learning and improvement, but lacks standardized implementation and evaluation. Further research is needed to optimize its use and assess patient outcomes.

Keywords:
Clinical trainingHealth professionsIn-situ simulation; simulation-based educationSimulated practice

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Area of Science:

  • Healthcare Education
  • Medical Simulation
  • Patient Safety

Background:

  • In-situ simulation is increasingly used in healthcare for learning and improving outcomes.
  • A lack of standardized approaches across healthcare organizations is reported.
  • This review maps the evidence base for in-situ interventions.

Purpose of the Study:

  • To explore and map the current evidence for in-situ simulation interventions.
  • To identify gaps in the existing literature.
  • To inform future research and evaluation questions.

Main Methods:

  • A systematic mapping review was conducted.
  • Searches covered multiple databases (MEDLINE, EMBASE, AMED, PsycINFO, CINAHL, MIDIRS, ProQuest) from inception to October 2020.
  • Sixty-nine relevant papers were included and data extracted into themes.

Main Results:

  • In-situ simulation is utilized for assessment, promoting safety cultures, enhancing clinical skills, and improving non-technical skills.
  • Most studies were observational, assessing performance against clinical standards.
  • Significant variation exists in assessment methods, study duration, and intervention frequency.

Conclusions:

  • In-situ simulation is generally feasible and beneficial for learning and improvement objectives.
  • A lack of consensus exists regarding implementation and evaluation strategies.
  • Further research is required to determine optimal protocols and assess patient outcome impacts.