BIOMAT Database Logo BIOMAT Database Logo

[Linking Interventional Cardiology clinical registry data with French hospital administrative data: Development and validation of deterministic record linkage]. 2021

E Lesaine, and N-M Belhamri, and J-P Legrand, and S Domecq, and P Coste, and A Lacroix, and F Saillour-Glenisson, and
University Bordeaux, ISPED, Centre Inserm U1219-Bordeaux Population Health, 33000 Bordeaux, France; Service d'information médicale, CHU de Bordeaux, pôle de santé publique, 33000 Bordeaux, France; Inserm, ISPED, Centre Inserm U1219-Bordeaux Population Health, 33000 Bordeaux, France. Electronic address: emilie.lesaine@u-bordeaux.fr.

BACKGROUND To recreate the in-hospital healthcare pathway for patients treated with coronary angiography or percutaneous coronary intervention, we linked the interventional cardiology registry (ACIRA) and the pseudonymized French hospital medical information system database (PMSI) in the Aquitaine region. The objective of this study was to develop and validate a deterministic merging algorithm between these exhaustive and complementary databases. METHODS After a pre-treatment phase of the databases to standardize the 11 identified linking variables, a deterministic linking algorithm was developed on ACIRA hospital stays between December 2011 and December 2014 in nine interventional cardiology centers as well as the data from the consolidated PMSI databases of the Aquitaine region from 2011 to 2014. Merging was carried out through 12 successive steps, the first consisting in strict linking of the 11 variables. The performance of the algorithm was analyzed in terms of sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). Strategies complementary to the initial algorithm (change in the order of variables and base preprocessing) were tested. Comparative analysis of merged/unmerged patients explored potential causes of mismatch. RESULTS The algorithm found 97.2% of the 31,621 ACIRA stays to have sensitivity of 99.9% (95% CI [99.9; 99.9]), specificity of 97.9% (95% CI [97.7; 98.1]), PPV of 99.9% (95% CI [99.9; 99.9]) and NPV of 96.9% (95% CI [96.7; 97.1]). Complementary strategies did not yield better results. The unmerged patients were older, and hospitalized mostly in 2012 in two interventional cardiology centers. CONCLUSIONS This study underscored the feasibility and validity of an indirect deterministic pairing to routinely link a registry of practices using hospital data to pseudonymized medico-administrative databases. This method, which can be extrapolated to other health events leading to hospitalization, renders it possible to effectively reconstruct patients' hospital healthcare pathway.

UI MeSH Term Description Entries
D012042 Registries The systems and processes involved in the establishment, support, management, and operation of registers, e.g., disease registers. Parish Registers,Population Register,Parish Register,Population Registers,Register, Parish,Register, Population,Registers, Parish,Registers, Population,Registry
D002309 Cardiology The study of the heart, its physiology, and its functions. Angiology,Cardiovascular Disease Specialty,Vascular Medicine,Disease Specialty, Cardiovascular,Medicine, Vascular,Specialty, Cardiovascular Disease
D006760 Hospitalization The confinement of a patient in a hospital. Hospitalizations
D006761 Hospitals Institutions with an organized medical staff which provide medical care to patients. Hospital
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D016208 Databases, Factual Extensive collections, reputedly complete, of facts and data garnered from material of a specialized subject area and made available for analysis and application. The collection can be automated by various contemporary methods for retrieval. The concept should be differentiated from DATABASES, BIBLIOGRAPHIC which is restricted to collections of bibliographic references. Databanks, Factual,Data Banks, Factual,Data Bases, Factual,Data Bank, Factual,Data Base, Factual,Databank, Factual,Database, Factual,Factual Data Bank,Factual Data Banks,Factual Data Base,Factual Data Bases,Factual Databank,Factual Databanks,Factual Database,Factual Databases

Related Publications

E Lesaine, and N-M Belhamri, and J-P Legrand, and S Domecq, and P Coste, and A Lacroix, and F Saillour-Glenisson, and
Comparing routine administrative data with registry data for assessing quality of hospital care in patients with myocardial infarction using deterministic record linkage.
October 2016, BMC health services research,
E Lesaine, and N-M Belhamri, and J-P Legrand, and S Domecq, and P Coste, and A Lacroix, and F Saillour-Glenisson, and
Validity of deterministic record linkage using multiple indirect personal identifiers: linking a large registry to claims data.
May 2014, Circulation. Cardiovascular quality and outcomes,
E Lesaine, and N-M Belhamri, and J-P Legrand, and S Domecq, and P Coste, and A Lacroix, and F Saillour-Glenisson, and
Probabilistic linkage to enhance deterministic algorithms and reduce data linkage errors in hospital administrative data.
June 2017, Journal of innovation in health informatics,
E Lesaine, and N-M Belhamri, and J-P Legrand, and S Domecq, and P Coste, and A Lacroix, and F Saillour-Glenisson, and
Validating a novel deterministic privacy-preserving record linkage between administrative & clinical data: applications in stroke research.
January 2022, International journal of population data science,
E Lesaine, and N-M Belhamri, and J-P Legrand, and S Domecq, and P Coste, and A Lacroix, and F Saillour-Glenisson, and
Linkage of a national clinical liver transplant database with administrative hospital data: methods and validation.
August 2014, Transplantation,
E Lesaine, and N-M Belhamri, and J-P Legrand, and S Domecq, and P Coste, and A Lacroix, and F Saillour-Glenisson, and
Results from simulated data sets: probabilistic record linkage outperforms deterministic record linkage.
May 2011, Journal of clinical epidemiology,
E Lesaine, and N-M Belhamri, and J-P Legrand, and S Domecq, and P Coste, and A Lacroix, and F Saillour-Glenisson, and
Linkage between neurological registry data and administrative data.
July 2013, The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques,
E Lesaine, and N-M Belhamri, and J-P Legrand, and S Domecq, and P Coste, and A Lacroix, and F Saillour-Glenisson, and
Linking clinical registry data with administrative data using indirect identifiers: implementation and validation in the congenital heart surgery population.
December 2010, American heart journal,
E Lesaine, and N-M Belhamri, and J-P Legrand, and S Domecq, and P Coste, and A Lacroix, and F Saillour-Glenisson, and
Comparison of probabilistic and deterministic record linkage in the development of a statewide trauma registry.
January 1995, Proceedings. Symposium on Computer Applications in Medical Care,
E Lesaine, and N-M Belhamri, and J-P Legrand, and S Domecq, and P Coste, and A Lacroix, and F Saillour-Glenisson, and
Record linkage strategies, outpatient procedures, and administrative data.
June 1996, Medical care,
Copied contents to your clipboard!