Premium
Validation of an algorithm identifying incident primary immune thrombocytopenia in the French national health insurance database
Author(s) -
Mezaache Salim,
Derumeaux Helene,
Ferraro Pierre,
Capdepon Pascal,
Steinbach JeanChristophe,
Abballe Xavier,
Palas Deborah,
Saichi Nabil,
Desboeuf Karine,
LapeyreMestre Maryse,
Sailler Laurent,
Moulis Guillaume
Publication year - 2017
Publication title -
european journal of haematology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.904
H-Index - 84
eISSN - 1600-0609
pISSN - 0902-4441
DOI - 10.1111/ejh.12926
Subject(s) - medicine , interquartile range , algorithm , confidence interval , pediatrics , diagnosis code , immune thrombocytopenia , database , medical record , population , computer science , platelet , environmental health
Objectives To evaluate the accuracy of an algorithm identifying newly diagnosed immune thrombocytopenia ( ITP ) patients in the French national health insurance database ( SNIIRAM ). Methods The source of data was the SNIIRAM of Midi‐Pyrenees region (southwest of France, three million inhabitants). Data of patients with at least one ITP code (D69.3 code of the International Classification of Disease, version 10) were extracted between January 1, 2012, and December 31, 2014. We used an algorithm that identifies newly diagnosed primary ITP s. Medical charts of incident ITP s were reviewed. Positive predictive values ( PPV s) of identification of true, incident, and primary ITP cases were estimated. Results Of the 168 patients selected, 161 were true ITP cases yielding a PPV of 95.8% (95% confidence interval—95% CI : 92.8‐98.8). Among them, 128 were truly incident according to symptom onset date and 134 according to the diagnosis date yielding PPV s of 79.5% (95% CI : 73.2‐85.7) and 83.2% (95% CI : 77.4‐89.0), respectively. Median time between estimated diagnosis date by the algorithm and true diagnosis date was 0 days (interquartile range: 0 to 15). Conclusions This study showed a very good PPV of this algorithm identifying incident primary ITP patients in the SNIIRAM .