a Record control number 000261141600011

a ISSN 0190-9622

a Original cataloging agency NEU GrandLibrary

a Language code of text/sound track or separate title eng

a Classification number WR140

b Item number .P68 2008

a Personal name İçen, Murat.

h Medium Electronic Document

a Title Potential misclassification of patients with psoriasis in electronic databases.

c Statement of responsibility, etc Murat Icen, Cynthia S. Crowson, Marian T. McEvoy, Sherine E.Gabriel, Hilal Maradit Kremers.

c Date of publication, distribution, etc 2008.

b Name of publisher, distributor, etc Mosby-Elsevier,

a Place of publication, distribution, etc New York :

a Summary, etc Background: Electronic claims and medical record data;bases are increasingly used for observational studies of psoriasis. The purpose of this study was to assess the validity of psoriasis diagnostic codes in electronic database. Methods: This study was performed in population-based selling in Olmsted County, Minnesota, where all diagnoses and procedures from all health (care providers in a large community are indexed and recorded in an electronic database. The database was searched for patients aged 18 years or older with diagnostic codes consistent with psoriasis for the time period January 1, 7976, to January 1, 2000 The complete medical records of all patients were reviewed manually for validation Of psoriasis diagnoses. Results: We reviewed the complete medical records of 2556 p:patients with at least one diagnostic code consistent with psoriasis:. Based on medical record review, 1458 (57.0%) patients were confirmed to have psoriasis, of which the majority (81%) received confirmation by : dermatologist. The most commonly used diagnostic cystic codes for psoriasis were International classification of Diseases, Ninth Revision 696.1 (psoriasis, not otherwise specified) with a positive predictive value of 68.7% (95% confidence interval: 66.5%, 70.9%). Increasing frequency of codes in a given time window, was associated with positive predictive values. However, positive predictive value for only one code in a 5-year tinge window was still as high as 60% (95% confidence interval: 57%, 63%). Limitations: Differences between individual electronic medical record databases may limit the ability to form a general conclusion from these findings. The remitting, relapsing course of psoriasis and the heterogeneity in clinical presentation create challenges in case ascertainment. Conclusion: Electronic identification of patients with psoriasis by diagnostic codes done may lead to misclassification in database studies. (J Am Acad Dermatol 2008;59:987-5.)

a Topical term or geographic name as entry element Dermatology

a Topical term or geographic name as entry element Near East University Article

a Topical term or geographic name as entry element Yakın Doğu Üniversitesi Makale

a Topical term or geographic name as entry element Association

a Topical term or geographic name as entry element Population

a Main entry heading Journal Of The American Academy Of Dermatology

g Relationship information DEC 2008 , Vol 59 Issue 6, p981-985

x International Standard Serial Number 01909622

u Uniform Resource Identifier http://library.neu.edu.tr:2048/login?url=http://dx.doi.org/10.1016/j.jaad.2008.08.034