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Potential misclassification of patients with psoriasis in electronic databases. Murat Icen, Cynthia S. Crowson, Marian T. McEvoy, Sherine E.Gabriel, Hilal Maradit Kremers.

Yazar: Materyal türü: MakaleMakaleDil: İngilizce Yayın ayrıntıları:2008. Mosby-Elsevier, New York :ISSN:
  • 0190-9622
Konu(lar): LOC sınıflandırması:
  • WR140
İçindekiler: Journal Of The American Academy Of Dermatology DEC 2008 , Vol 59 Issue 6, p981-985Özet: 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.)
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Online Electronic Document NEU Grand Library Online electronic WR140 .P68 2008 (Rafa gözat(Aşağıda açılır)) Ödünç verilmez EOL-1328

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.)

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