[Application of an algorithm for the validation of congenital anomaly cases using hospital discharge records].

• DOI: 10.19191/ep22.1-2.p084.016
• Publication Date: 2022-04-01
• Authors: Gaspare Drago; Elisa Eleonora Ta...; Silvia Ruggieri; Fabio Cibella; Alessandra Allotta; Sebastiano Pollin...; Gabriella Dardanoni; Salvatore Scondotto
• Keywords: Medical record; Diagnosis code; Hospital discharge; Sample (material)

to evaluate and validate the adoption of an algorithm for identification cases congenital anomalies (CAs) improve performance Congenital Malformations Registry Sicily Region (Southern Italy).an was used identify on a sample hospital discharge records (SDO) with ICD-9-CM code between 740-759 any diagnoses within first year life, together healthy births equal 5% total same period. The identified were evaluated through clinical record analysis.the analysed composed 4,271 June 2013 December 2014 along 3,993 SDO without MC (5% volume in period).positive predictive value (VPP) negative (VPN) computed by means comparison outcomes verification.4,271 potentially malformed involving 3,381 subjects born Sicilian territory have been identified. Among that it possible verify, application led exclusion 924 cases: these, 62 proved be false negatives (VPN: 93.3). valid 1,179, while 617: analysis VPP 91.7 72.1, respectively, evaluated.the tested useful tool identifying related anomalies. In overall sample, provided outcome consistent assessment 87.4% (2,379) cases.