The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A systematic review of validity evidence for checklists versus global rating scales in simulation‐based assessment
Abstract
Context: The relative advantages and disadvantages of checklists and global rating scales ( GRS s) have long been debated. To compare the merits of these scale types, we conducted a systematic review of the validity evidence for checklists and GRS s in the context of simulation‐based assessment of health professionals. Methods: We conducted a systematic review of multiple databases including MEDLINE , EMBASE and S copus to F ebruary 2013. We selected studies that used both a GRS and checklist in the simulation‐based assessment of health professionals. Reviewers working in duplicate evaluated five domains of validity evidence, including correlation between scales and reliability. We collected information about raters, instrument characteristics, assessment context, and task. We pooled reliability and correlation coefficients using random‐effects meta‐analysis. Results: We found 45 studies that used a checklist and GRS in simulation‐based assessment. All studies included physicians or physicians in training; one study also included nurse anaesthetists. Topics of assessment included open and laparoscopic surgery ( n = 22), endoscopy ( n = 8), resuscitation ( n = 7) and anaesthesiology ( n = 4). The pooled GRS –checklist correlation was 0.76 (95% confidence interval [ CI ] 0.69–0.81, n = 16 studies). Inter‐rater reliability was similar between scales ( GRS 0.78, 95% CI 0.71–0.83, n = 23; checklist 0.81, 95% CI 0.75–0.85, n = 21), whereas GRS inter‐item reliabilities (0.92, 95% CI 0.84–0.95, n = 6) and inter‐station reliabilities (0.80, 95% CI 0.73–0.85, n = 10) were higher than those for checklists (0.66, 95% CI 0–0.84, n = 4 and 0.69, 95% CI 0.56–0.77, n = 10, respectively). Content evidence for GRS s usually referenced previously reported instruments ( n = 33), whereas content evidence for checklists usually described expert consensus ( n = 26). Checklists and GRS s usually had similar evidence for relations to other variables. Conclusions: Checklist inter‐rater reliability and trainee discrimination were more favourable than suggested in earlier work, but each task requires a separate checklist. Compared with the checklist, the GRS has higher average inter‐item and inter‐station reliability, can be used across multiple tasks, and may better capture nuanced elements of expertise.
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Cites
The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & the PRISMA Group* (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-4-200908180-00135 · Cited by 37,554
Intraclass correlations: Uses in assessing rater reliability.
Shrout, P. E., & Fleiss, J. L. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.2.420 · Cited by 24,532
Programmatic assessment: From assessment of learning to assessment for learning
Schuwirth, L. W. T., & Van der Vleuten, C. P. M. (2011) · Medical Teacher · doi:10.3109/0142159x.2011.565828 · Cited by 902
A systematic review of the reliability of objective structured clinical examination scores
Brannick, M. T., Erol‐Korkmaz, H. T., & Prewett, M. (2011) · Medical Education · doi:10.1111/j.1365-2923.2011.04075.x · Cited by 354
Cited by
A contemporary approach to validity arguments: a practical guide to Kane's framework
Cook, D. A., Brydges, R., Ginsburg, S., & Hatala, R. (2015) · Medical Education · doi:10.1111/medu.12678 · Cited by 554
Self-citationValidation of educational assessments: a primer for simulation and beyond
Cook, D. A., & Hatala, R. (2016) · Advances in Simulation · doi:10.1186/s41077-016-0033-y · Cited by 304
Self-citationFujikawa, H., Son, D., Aoki, T., & Eto, M. (2022) · BMC Medical Education · doi:10.1186/s12909-022-03730-y · Cited by 16
Ba, H., Zhang, L., He, X., & Li, S. (2024) · JMIR Medical Education · doi:10.2196/57772 · Cited by 6
Metadata
- Authors
- Ilgen, J. S., Ma, I. W. Y., Hatala, R., & Cook, D. A.
- Venue
- Medical Education
- Publisher
- Wiley
- Published
- 2015-01-27
- Volume
- 49
- Issue
- 2
- Pages
- 161-173
- ISSN
- 0308-0110 (ISSN-L)
- 1365-2923
- OpenAlex
- W2028787956
- Cited by
- 337
- References
- 5
- FWCI
- 3.94
- Type
- journal article
- Language
- en
- Open access
- closed
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