Coding algorithms for identifying patients with cirrhosis and hepatitis B or C virus using administrative data.

Niu, Bolin; Forde, Kimberly A; Goldberg, David S

Niu, Bolin; Forde, Kimberly A; Goldberg, David S.

Affiliation

Niu B; Department of Medicine, University of Pennsylvania, Philadelphia, PA, United States.

Pharmacoepidemiol Drug Saf ; 24(1): 107-11, 2015 Jan.

Article in En | MEDLINE | ID: mdl-25335773

Subject(s)

Algorithms; Clinical Coding/standards; Hepatitis B/epidemiology; Hepatitis C/epidemiology; International Classification of Diseases/standards; Liver Cirrhosis/epidemiology; Clinical Coding/statistics & numerical data; Databases, Factual/standards; Databases, Factual/statistics & numerical data; Female; Health Systems Plans/standards; Health Systems Plans/statistics & numerical data; Hepatitis B/diagnosis; Hepatitis C/diagnosis; Humans; International Classification of Diseases/statistics & numerical data; Liver Cirrhosis/diagnosis; Male; Middle Aged; Retrospective Studies

Key words

administrative data; hepatitis B virus; hepatitis C virus; pharmacoepidemiology; validation

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / International Classification of Diseases / Hepatitis C / Clinical Coding / Hepatitis B / Liver Cirrhosis Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male / Middle aged Language: En Journal: Pharmacoepidemiol Drug Saf Journal subject: EPIDEMIOLOGIA / TERAPIA POR MEDICAMENTOS Year: 2015 Document type: Article Affiliation country: United States Country of publication: United kingdom

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