Administrative Data in Cardiovascular Research—A Comparison of Polish National Health Fund and CRAFT Registry Data

Cezary Maciejewski, Krzysztof Ozierański (), Mikołaj Basza, Piotr Lodziński, Andrzej Śliwczyński, Leszek Kraj, Maciej Janusz Krajsman, Jefte Prado Paulino, Agata Tymińska, Grzegorz Opolski, Andrzej Cacko, Marcin Grabowski and Paweł Balsam
Additional contact information
Cezary Maciejewski: 1st Chair and Department of Cardiology, Medical University of Warsaw, 02-091 Warszawa, Poland
Krzysztof Ozierański: 1st Chair and Department of Cardiology, Medical University of Warsaw, 02-091 Warszawa, Poland
Mikołaj Basza: Medical University of Silesia in Katowice, 40-055 Katowice, Poland
Piotr Lodziński: 1st Chair and Department of Cardiology, Medical University of Warsaw, 02-091 Warszawa, Poland
Andrzej Śliwczyński: Satellite Campus in Warsaw, University of Humanities and Economics in Lodz, 90-212 Lodz, Poland
Leszek Kraj: Department of Molecular Biology, Institute of Genetics and Animal Biotechnology, Polish Academy Science, Postępu 36A, 05-552 Magdalenka, Poland
Maciej Janusz Krajsman: Department of Medical Informatics and Telemedicine, Medical University of Warsaw, 02-091 Warszawa, Poland
Jefte Prado Paulino: 1st Chair and Department of Cardiology, Medical University of Warsaw, 02-091 Warszawa, Poland
Agata Tymińska: 1st Chair and Department of Cardiology, Medical University of Warsaw, 02-091 Warszawa, Poland
Grzegorz Opolski: 1st Chair and Department of Cardiology, Medical University of Warsaw, 02-091 Warszawa, Poland
Andrzej Cacko: 1st Chair and Department of Cardiology, Medical University of Warsaw, 02-091 Warszawa, Poland
Marcin Grabowski: 1st Chair and Department of Cardiology, Medical University of Warsaw, 02-091 Warszawa, Poland
Paweł Balsam: 1st Chair and Department of Cardiology, Medical University of Warsaw, 02-091 Warszawa, Poland

IJERPH, 2022, vol. 19, issue 19, 1-13

Abstract: (1) Background: Administrative data allows for time- and cost-efficient acquisition of large volumes of individual patient data invaluable for evaluation of the prevalence of diseases and clinical outcomes. The aim of the study was to evaluate the accuracy of data collected from the Polish National Health Fund (NHF), from a researcher’s perspective, in regard to a cohort of atrial fibrillation patients. (2) Methods: NHF data regarding atrial fibrillation and common cardiovascular comorbidities was compared with the data collected manually from the individual patients’ health records (IHR) collected in the retrospective CRAFT registry (NCT02987062). (3) Results: Data from the NHF underestimated the proportion of patients with AF (NHF = 83% vs. IHR = 100%) while overestimating the proportion of patients with other cardiovascular comorbidities in the cohort. Significantly higher CHA2DS2VASc (Median, [Q1–Q3]) (NHF: 1, [0–2]; vs. IHR: 1, [0–1]; p < 0.001) and HAS-BLED (Median, [Q1–Q3]) (NHF: 4, [2–6] vs. IHR: 3, [2–5]; p < 0.001) scores were calculated according to NHF in comparison to IHR data, respectively. (4) Conclusions: Clinical researchers should be aware that significant differences between IHR and billing data in cardiovascular research can be observed which should be acknowledged while drawing conclusions from administrative data-based cohorts. Natural Language Processing of IHR could further increase administrative data quality in the future.

Keywords: billing data; administrative data; NHF; NLP; cardiology; AF; atrial fibrillation (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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