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The completeness and accuracy of DataDerm: The database of the American Academy of Dermatology.
Van Beek, Marta; Swerlick, Robert A; Mathes, Barbara; Reeder, Margo J; Kaye, Toni; Aninos, Arik; Fitzgerald, Matthew E; Etkin, Caryn D; Jacobs, Jeffrey P.
Afiliación
  • Van Beek M; University of Iowa, Iowa City, Iowa. Electronic address: marta-vanbeek@uiowa.edu.
  • Swerlick RA; Emory University, Atlanta, Georgia.
  • Mathes B; University of Pennsylvania, Philadelphia, Pennsylvania.
  • Reeder MJ; University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
  • Kaye T; American Academy of Dermatology, Rosemont, Illinois.
  • Aninos A; American Academy of Dermatology, Rosemont, Illinois.
  • Fitzgerald ME; American Academy of Dermatology, Rosemont, Illinois.
  • Etkin CD; American Academy of Dermatology, Rosemont, Illinois.
  • Jacobs JP; American Academy of Dermatology, Rosemont, Illinois; University of Florida, Gainesville, Florida.
J Am Acad Dermatol ; 86(2): 394-398, 2022 02.
Article en En | MEDLINE | ID: mdl-34126095
The utility of any database or registry depends on the completeness and accuracy of the data it contains. This report documents the validity of data elements within DataDerm, the clinical registry database of the American Academy of Dermatology. An external audit of DataDerm, performed by a third-party vendor, involved the manual review of 1098 individual patient charts from calendar year 2018 from 8 different dermatology practices that used 4 different electronic health records. At each site, 142 discrete data fields were assessed, comparing the data within DataDerm to the source data within the electronic health record. Audited data included 3 domains of data elements (diagnoses, medications, and procedures) and a performance measure ("Biopsy Reporting Time-Clinician to Patient"), which is 1 of several measures used by DataDerm as a Qualified Clinical Data Registry. Overall completeness of data was 95.3%, with a range among practices of 90.6% to 98.5%. Overall accuracy of data was 89.8%, with a range of accuracy among practices of 81.2% to 94.1%. These levels of completeness and accuracy exceed the rates in the literature for registries that are based on data that is extracted from electronic health records; and therefore, this audit validates the excellent quality of data in DataDerm.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Dermatología Tipo de estudio: Guideline Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: J Am Acad Dermatol Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Dermatología Tipo de estudio: Guideline Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: J Am Acad Dermatol Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos