Validity evidence for endoscopic ultrasound competency assessment tools: Systematic review Article Swipe
Catharine M. Walsh
,
Samir C. Grover
,
Alessandra Ceccacci
,
Harneet Hothi
,
Rishad Khan
,
Nikko Gimpaya
,
Brian Chan
,
Nauzer Forbes
,
Paul James
,
Daniel J. Low
,
Jeffrey D. Mosko
,
E. Yeung
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1055/a-2465-7283
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1055/a-2465-7283
Background and study aims Competent endoscopic ultrasound (EUS) performance requires a combination of technical, cognitive, and non-technical skills. Direct observation assessment tools can be employed to enhance learning and ascertain clinical competence; however, there is a need to systematically evaluate validity evidence supporting their use. We aimed to evaluate the validity evidence of competency assessment tools for EUS and examine their educational utility. Methods We systematically searched five databases and gray literature for studies investigating EUS competency assessment tools from inception to May 2023. Data on validity evidence across five domains (content, response process, internal structure, relations to other variables, and consequences) were extracted and graded (maximum score 15). We evaluated educational utility using the Accreditation Council for Graduate Medical Education framework and methodological quality using the Medical Education Research Quality Instrument (MERSQI). Results From 2081 records, we identified five EUS assessment tools from 10 studies. All tools are formative assessments intended to guide learning, with four employed in clinical settings. Validity evidence scores ranged from 3 to 12. The EUS and ERCP Skills Assessment Tool (TEESAT), Global Assessment of Performance and Skills in EUS (GAPS-EUS), and the EUS Assessment Tool (EUSAT) had the strongest validity evidence with scores of 12, 10, and 10, respectively. Overall educational utility was high given ease of tool use. MERSQI scores ranged from 9.5 to 12 (maximum score 13.5). Conclusions The TEESAT, GAPS-EUS, and EUSAT demonstrate strong validity evidence for formative assessment of EUS and are easily implemented in educational settings to monitor progress and support learning.
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- Type
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- Language
- en
- Landing Page
- https://doi.org/10.1055/a-2465-7283
- OA Status
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- Cited By
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- References
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- Related Works
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- OpenAlex ID
- https://openalex.org/W4404233930
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4404233930Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1055/a-2465-7283Digital Object Identifier
- Title
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Validity evidence for endoscopic ultrasound competency assessment tools: Systematic reviewWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-11-11Full publication date if available
- Authors
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Catharine M. Walsh, Samir C. Grover, Alessandra Ceccacci, Harneet Hothi, Rishad Khan, Nikko Gimpaya, Brian Chan, Nauzer Forbes, Paul James, Daniel J. Low, Jeffrey D. Mosko, E. YeungList of authors in order
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https://doi.org/10.1055/a-2465-7283Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1055/a-2465-7283Direct OA link when available
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Medicine, Medical physics, MEDLINE, Systematic review, Data science, Computer science, Political science, LawTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.performance | 9 |
| abstract_inverted_index.Accreditation | 116 |
| abstract_inverted_index.consequences) | 102 |
| abstract_inverted_index.investigating | 75 |
| abstract_inverted_index.non-technical | 17 |
| abstract_inverted_index.respectively. | 205 |
| abstract_inverted_index.methodological | 124 |
| abstract_inverted_index.systematically | 39, 66 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 12 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.75 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.70294236 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |