The Utility of Augmented Teledermatology to Improve Dermatologist Diagnosis of Cellulitis: A Cross-Sectional Study Article Swipe
Andrew Creadore
,
Priya Manjaly
,
Elizabeth Tkachenko
,
David G. Li
,
Benjamin H. Kaffenberger
,
Kanade Shinkai
,
Misha Rosenbach
,
Cara Joyce
,
Arash Mostaghimi
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-1995327/v1
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-1995327/v1
Dermatology consultation for cases of presumed cellulitis improves diagnostic accuracy and management. However, access to in-person consultation remains limited, a gap that could be filled with teledermatology. Augmented teledermatology may improve outcomes. In this cross-sectional study, 20 dermatologists (60% of whom reported conducting inpatient consults > 1 month per year) reviewed 10 real-life cases representing either cellulitis or pseudocellulitis as diagnosed by in-person dermatology consultation. For each case, respondents recorded their diagnosis, confidence, and management decisions after viewing the history and standard teledermatology photos, the responses to a physician-reported cellulitis questionnaire, and finally thermal images. Overall mean diagnostic accuracy increased from 84% ± 4% with the history and physical to 89% ± 3% when adding a cellulitis questionnaire and thermal images (p = 0.23). Accuracy for cellulitis cases specifically significantly increased from 76% ± 6–88% ± 4% when adding a cellulitis questionnaire and thermal images (p = 0.049). Accuracy for pseudocellulitis was consistently ≥ 94%. Augmented teledermatology with a standardized questionnaire and thermal images improved diagnostic accuracy for cases of cellulitis and may increase physician confidence. Dermatologists were able to accurately diagnose regardless of experience with inpatient consults, increasing the pool of potential dermatologists who could diagnose cellulitis remotely.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-1995327/v1
- https://www.researchsquare.com/article/rs-1995327/latest.pdf
- OA Status
- green
- Cited By
- 2
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4293503817
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4293503817Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.21203/rs.3.rs-1995327/v1Digital Object Identifier
- Title
-
The Utility of Augmented Teledermatology to Improve Dermatologist Diagnosis of Cellulitis: A Cross-Sectional StudyWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-08-29Full publication date if available
- Authors
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Andrew Creadore, Priya Manjaly, Elizabeth Tkachenko, David G. Li, Benjamin H. Kaffenberger, Kanade Shinkai, Misha Rosenbach, Cara Joyce, Arash MostaghimiList of authors in order
- Landing page
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https://doi.org/10.21203/rs.3.rs-1995327/v1Publisher landing page
- PDF URL
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https://www.researchsquare.com/article/rs-1995327/latest.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
- OA URL
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https://www.researchsquare.com/article/rs-1995327/latest.pdfDirect OA link when available
- Concepts
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Teledermatology, Cellulitis, Medicine, Dermatology, Cross-sectional study, Confidence interval, Telemedicine, Internal medicine, Pathology, Health care, Economics, Economic growthTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2024: 1, 2023: 1Per-year citation counts (last 5 years)
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26Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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