Cited by 423Simulation-Based Education in HealthcareSurgical Simulation and TrainingInnovations in Medical Education

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Evaluating Clinical Simulations for Learning Procedural Skills: A Theory-Based Approach

Kneebone, Roger·2005·Academic Medicine

Abstract

Simulation-based learning is becoming widely established within medical education. It offers obvious benefits to novices learning invasive procedural skills, especially in a climate of decreasing clinical exposure. However, simulations are often accepted uncritically, with undue emphasis being placed on technological sophistication at the expense of theory-based design. The author proposes four key areas that underpin simulation-based learning, and summarizes the theoretical grounding for each. These are (1) gaining technical proficiency (psychomotor skills and learning theory, the importance of repeated practice and regular reinforcement), (2) the place of expert assistance (a Vygotskian interpretation of tutor support, where assistance is tailored to each learner's needs), (3) learning within a professional context (situated learning and contemporary apprenticeship theory), and (4) the affective component of learning (the effect of emotion on learning). The author then offers four criteria for critically evaluating new or existing simulations, based on the theoretical framework outlined above. These are: (1) Simulations should allow for sustained, deliberate practice within a safe environment, ensuring that recently-acquired skills are consolidated within a defined curriculum which assures regular reinforcement; (2) simulations should provide access to expert tutors when appropriate, ensuring that such support fades when no longer needed; (3) simulations should map onto real-life clinical experience, ensuring that learning supports the experience gained within communities of actual practice; and (4) simulation-based learning environments should provide a supportive, motivational, and learner-centered milieu which is conducive to learning.

Overview

Integrity signals

Registry

Crossref · 10.1097/00001888-200506000-00006

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Metadata

Authors
Kneebone, R.
Affiliations
St Mary's Hospital (GB)
Corresponding author
Kneebone, Roger
Venue
Academic Medicine
Published
2005-06
Volume
80
Issue
6
Pages
549-553
ISSN
1040-2446 (ISSN-L)
OpenAlex
W2054537285
Cited by
423
References
18
Citations by year
2026: 17 · 2025: 17 · 2024: 17 · 2023: 14 · 2022: 14 · 2021: 19 · 2020: 19 · 2019: 26 · 2018: 25 · 2017: 21 · 2016: 26 · 2015: 31 · 2014: 31 · 2013: 23 · 2012: 26
FWCI
2.06
Type
journal article
Language
en
Open access
closed
Locations
  • Academic Medicine (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Education › Simulation-Based Education in Healthcare
  • Health Sciences › Medicine › Surgery › Surgical Simulation and Training
  • Social Sciences › Education › Innovations in Medical Education
Keywords
simulation-based training, procedural training, medical education, psychomotor skill acquisition, deliberate practice, situated learning, affective learning, student-centered learning environment, skill consolidation
MeSH terms
Computer-Assisted Instruction, Computer Simulation, Education, Medical, Evaluation Studies as Topic, Humans

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review