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Cited by 381

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Clinical Vignette-Based Surveys: A Tool for Assessing Physician Practice Variation

Veloski, Jon, Tai, Stephen, Evans, Adam S., Nash, David B.·2005·American Journal of Medical Quality

Abstract

Clinical vignette-based surveys have been used for more than 30 years to measure variation in physicians' approaches to the diagnosis and treatment of patients with similar health problems. Vignettes offer advantages over medical record reviews, analysis of claims data, and standardized patients. A vignette-based survey can be completed more quickly than a record review or standardized patient program. Research has shown that vignette-based surveys produce better measures of quality of care than medical record reviews when used to measure differential diagnosis, selection of tests, and treatment decisions. Although standardized patients are preferred when measuring communication and physical examination skills, vignettes are more cost-effective than standardized patients when assessing clinical physicians' decision making. Vignettes offer better opportunities to isolate physicians' decision making and to control case-mix variation than do analyses of claims data sets. Clinical vignette-based surveys are simple and economical tools that can be used to characterize physicians' practice variation.

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Crossref · 10.1177/1062860605274520

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Metadata

Authors
Veloski, J., Tai, S., Evans, A. S., & Nash, D. B.
Venue
American Journal of Medical Quality
Published
2005-05
Volume
20
Issue
3
Pages
151-157
ISSN
  • 1062-8606 (ISSN-L)
  • 1555-824X
OpenAlex
W2018320790
Cited by
381
References
19
FWCI
14.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Clinical Vignette-Based Surveys: A Tool for Assessing Physician Practice Variation. https://app.cochat.ai/papers/10.1177/1062860605274520
The paper
Veloski, J., Tai, S., Evans, A. S., & Nash, D. B. (2005). Clinical Vignette-Based Surveys: A Tool for Assessing Physician Practice Variation. American Journal of Medical Quality. https://doi.org/10.1177/1062860605274520

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.