Sensitivity and specificity of breast cancer ICD-9-CM codes in three Italian administrative healthcare databases: a diagnostic accuracy study

Author:

Abraha IosiefORCID,Serraino Diego,Montedori Alessandro,Fusco Mario,Giovannini Gianni,Casucci Paola,Cozzolino Francesco,Orso Massimiliano,Granata Annalisa,De Giorgi Marcello,Collarile Paolo,Chiari Rita,Foglietta Jennifer,Vitale Maria Francesca,Stracci Fabrizio,Orlandi Walter,Bidoli Ettore

Abstract

ObjectivesTo assess the accuracy of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes in identifying patients diagnosed with incident carcinoma in situ and invasive breast cancer in three Italian administrative databases.DesignA diagnostic accuracy study comparing ICD-9-CM codes for carcinoma in situ (233.0) and for invasive breast cancer (174.x) with medical chart (as a reference standard). Case definition: (1) presence of a primary nodular lesion in the breast and (2) cytological or histological documentation of cancer from a primary or metastatic site.SettingAdministrative databases from Umbria Region, Azienda Sanitaria Locale (ASL) Napoli 3 Sud (NA) and Friuli VeneziaGiulia (FVG) Region.ParticipantsWomen with breast carcinoma in situ (n=246) or invasive breast cancer (n=384) diagnosed (in primary position) between 2012 and 2014.Outcome measuresSensitivity and specificity for codes 233.0 and 174.x.ResultsFor invasive breast cancer the sensitivities were 98% (95% CI 93% to 99%) for Umbria, 96% (95% CI 91% to 99%) for NA and 100% (95% CI 97% to 100%) for FVG. Specificities were 90% (95% CI 82% to 95%) for Umbria, 91% (95% CI 83% to 96%) for NA and 91% (95% CI 84% to 96%) for FVG.For carcinoma in situ the sensitivities were 100% (95% CI 93% to 100%) for Umbria, 100% (95% CI 95% to 100%) for NA and 100% (95% CI 96% to 100%) for FVG. Specificities were 98% (95% CI 93% to 100%) for Umbria, 86% (95% CI 78% to 92%) for NA and 90% (95% CI 82% to 95%) for FVG.ConclusionsAdministrative healthcare databases from Umbria, NA and FVG are accurate in identifying hospitalised news cases of carcinoma of the breast. The proposed case definition is a powerful tool to perform research on large populations of newly diagnosed patients with breast cancer.

Funder

Ministero della Salute

Publisher

BMJ

Subject

General Medicine

Reference36 articles.

1. World Health Organization. International statistical classification of diseases and health related problems. 10th edn. Geneva: WHO, 1992.

2. Administrative Record Linkage as a Tool for Public Health Research

3. Fresh evidence confirms links between newer contraceptive pills and higher risk of venous thromboembolism

4. García Rodríguez LA , Pérez-Gutthann S , Jick S . The UK General practice research database. Pharmacoepidemiology: John Wiley & Sons, Ltd 2002:375–85.

5. Rawson NSB , Shatin D . Assessing the validity of diagnostic data in large administrative healthcare utilization databases. In: Hartzema A , Tilson H , Chan K , eds. Pharmacoepidemiology and therapeutic risk management: Harvey Whitney Books, 2008.

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