Development and psychometric testing of a Clinical Reasoning Evaluation Simulation Tool (CREST) for assessing nursing students' abilities to recognize and respond to clinical deterioration
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…
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The Clinical Reasoning Evaluation Simulation Tool (CREST) was developed by Liaw et al. and is based on Levett-Jones et al.'s clinical reasoning cycle.
“The Clinical Reasoning Evaluation Simulation Tool (CREST) was developed by Liaw, et al. [25] and is based on Levett-Jones, et al. [4]’s clinical reasoning cycle.”
From Turkish adaptation of the clinical reasoning evaluation simulation tool (CREST-TR): a validity and reliability study (2025) · cites this paper as Liaw, et al. [25]
The original CREST includes 11 items, with the first 10 items grouped under eight domains using a five-point Likert scale (1-5).
“It includes a total of 11 items. Of which the first 10 items are grouped under the eight domains using a five-point Likert scale (1–5).”
From Turkish adaptation of the clinical reasoning evaluation simulation tool (CREST-TR): a validity and reliability study (2025) · cites this paper as [25]
As students' clinical experiences increase, their clinical reasoning levels also increase.
“These results demonstrate that as students’ clinical experiences increase, their clinical reasoning levels also increase.”
From Turkish adaptation of the clinical reasoning evaluation simulation tool (CREST-TR): a validity and reliability study (2025) · cites this paper as Liaw, et al. [25]
The original CREST has established construct validity, concurrent validity, and predictive validity, with high internal consistency (Cronbach's alpha 0.92) and interrater reliability (ICC 0.88).
“Construct validity, concurrent validity, and predictive validity have been established, with high internal consistency (Cronbach’s alpha of 0.92) and interrater reliability (intraclass correlation coefficient of 0.88) [25].”
From Turkish adaptation of the clinical reasoning evaluation simulation tool (CREST-TR): a validity and reliability study (2025) · cites this paper as [25]
CREST measures students' clinical reasoning level during simulations and provides feedback to students, recognizing and responding to patient condition deterioration.
“CREST measures the students ‘clinical reasoning level during simulations and provides feedback to students, recognizing and responding to patient condition deterioration.”
From Turkish adaptation of the clinical reasoning evaluation simulation tool (CREST-TR): a validity and reliability study (2025) · cites this paper as Liaw, et al. [25]
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Alshehri, F. D., Jones, S., & Harrison, D. (2023) · Nurse Education Today · doi:10.1016/j.nedt.2022.105679 · Cited by 86 · see citing works
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- 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
- ORCID
- 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
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