Cited by 65Simulation-Based Education in HealthcareClinical Reasoning and Diagnostic SkillsHealth Education and Validation

Development and psychometric testing of a Clinical Reasoning Evaluation Simulation Tool (CREST) for assessing nursing students' abilities to recognize and respond to clinical deterioration

Liaw, Sok Ying, Rashasegaran, Ahtherai, Wong, Lai Fun, Deneen, Christopher Charles, Cooper, Simon, Levett-Jones, Tracy, Goh, Hongli Sam, Ignacio, Jeanette·2018·Nurse Education Today

Abstract

Background The development of clinical reasoning skills in recognising and responding to clinical deterioration is essential in pre-registration nursing education. Simulation has been increasingly used by educators to develop this skill. Objective To develop and evaluate the psychometric properties of a Clinical Reasoning Evaluation Simulation Tool (CREST) for measuring clinical reasoning skills in recognising and responding to clinical deterioration in a simulated environment. Design A scale development with psychometric testing and mixed methods study. Participants/settings Nursing students and academic staff were recruited at a university. Method A three-phase prospective study was conducted. Phase 1 involved the development and content validation of the CREST; Phase 2 included the psychometric testing of the tool with 15 second-year and 15 third-year nursing students who undertook the simulation-based assessment; Phase 3 involved the usability testing of the tool with nine academic staff through a survey questionnaire and focus group discussion. Results A 10-item CREST was developed based on a model of clinical reasoning. A content validity of 0.93 was obtained from the validation of 15 international experts. The construct validity was supported as the third-year students demonstrated significantly higher (p Conclusions A valid and reliable tool was developed to measure the effectiveness of simulation in developing clinical reasoning skills for recognising and responding…

Integrity signals

Registry

Crossref · 10.1016/j.nedt.2017.12.009

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

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

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?

Cites

Flagged first, then by citations

Authors
Liaw, S. Y., Rashasegaran, A., Wong, L. F., Deneen, C. C., Cooper, S., Levett-Jones, T., Goh, H. S., & Ignacio, J.
Affiliations
  • National University of Singapore (SG)
  • National University Hospital (SG)
  • RMIT University (AU)
  • Federation University (AU)
  • University of Technology Sydney (AU)
Corresponding author
Liaw, Sok Ying
Venue
Nurse Education Today
Publisher
Elsevier BV
Published
2018-03
Volume
62
Pages
74-79
ISSN
0260-6917 (ISSN-L)
OpenAlex
W2774520047
Cited by
65
References
4
Citations by year
2026: 4 · 2025: 11 · 2024: 6 · 2023: 10 · 2022: 9 · 2021: 13 · 2020: 10 · 2019: 2
FWCI
2.44
Type
journal article
Language
en
Open access
closed
Locations
  • Nurse Education Today (publishedVersion)
  • PubMed (publishedVersion)
  • National University of Singapore (submittedVersion)
  • FedUni ResearchOnline (Federation University Australia) (submittedVersion)
  • RMIT Research Repository (RMIT University Library) (submittedVersion)
  • Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
  • Figshare (submittedVersion)
  • UTS ePRESS (University of Technology Sydney) (submittedVersion)
Funders
National University of Singapore
Topics
  • Health Sciences › Medicine › Physiology › Simulation-Based Education in Healthcare
  • Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
  • Social Sciences › Education › Health Education and Validation
Keywords
clinical reasoning, clinical deterioration, nursing students, simulation-based assessment, scale development, psychometric properties, pre-registration nursing education, content validity, inter-rater reliability, usability
MeSH terms
High Fidelity Simulation Training, Clinical Deterioration, Clinical Competence, Education, Nursing, Female, Humans, Male, Problem Solving, Prospective Studies, Psychometrics, Surveys and Questionnaires, Students, Nursing, Reproducibility of Results, Young Adult

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