External validation of a model using health administrative data to predict acetabular fracture probability: Brief report Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1097/md.0000000000038238
Analyses using population-based health administrative data can return erroneous results if case identification is inaccurate (“misclassification bias”). An acetabular fracture (AF) prediction model using administrative data decreased misclassification bias compared to identifying AFs using diagnostic codes. This study measured the accuracy of this AF prediction model in another hospital. We calculated AF probability in all hospitalizations in the validation hospital between 2015 and 2020. A random sample of 1000 patients stratified by expected AF probability was selected. Patient imaging studies were reviewed to determine true AF status. The validation population included 1000 people. The AF prediction model was very discriminative (c-statistic 0.90, 95% CI: 0.87–0.92) and very well calibrated (integrated calibration index 0.056, 95% CI: 0.039–0.074). AF probability can be accurately determined using routinely collected health administrative data. This observation supports using the AF prediction model to minimize misclassification bias when studying AF using health administrative data.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1097/md.0000000000038238
- OA Status
- gold
- References
- 8
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399204778
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4399204778Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1097/md.0000000000038238Digital Object Identifier
- Title
-
External validation of a model using health administrative data to predict acetabular fracture probability: Brief reportWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-05-31Full publication date if available
- Authors
-
Andrew Adamczyk, Martin James Kelly, Hans J. Kreder, George Grammatopoulos, Carl van WalravenList of authors in order
- Landing page
-
https://doi.org/10.1097/md.0000000000038238Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1097/md.0000000000038238Direct OA link when available
- Concepts
-
Medicine, Acetabular fracture, Fracture (geology), Hip fracture, MEDLINE, Acetabulum, Surgery, Internal medicine, Osteoporosis, Engineering, Political science, Geotechnical engineering, LawTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
8Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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