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National Health Insurance Claims Database in France (SNIRAM), Système Nationale des Données de Santé (SNDS) and Health Data Hub (HDH)

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Databases for Pharmacoepidemiological Research

Abstract

SNIIRAM (Système National d'Informations Inter-Régimes de l'Assurance Maladie) is the French National claims database from the health insurance system. The SNIIRAM database includes information from the three main claims systems Caisse nationale de l'assurance maladie des travailleurs salariés (CNAMTS), Régime social des indépendants (RSI) now merged with CNAM, and Mutualité sociale agricole (MSA) and an increasing number of the smaller systems.

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References

  • Basson M, Mezzarobba M, Weill A et al (2016) Severe intestinal malabsorption associated with olmesartan: a French nationwide observational cohort study. Gut 65(10):1664–1669. https://doi.org/10.1136/gutjnl-2015-309690

    Article  Google Scholar 

  • Bernard MA, Benichou J, Blin P et al (2012) Use of health insurance claim patterns to identify patients using nonsteroidal anti-inflammatory drugs for rheumatoid arthritis. Pharmacoepidemiol Drug Saf 21(6):573–583. https://doi.org/10.1002/pds.3221

    Article  Google Scholar 

  • Bezin J, Girodet PO, Rambelomanana S et al (2015) Choice of ICD-10 codes for the identification of acute coronary syndrome in the French hospitalization database. Fundam Clin Pharmacol 29(6):586–591. https://doi.org/10.1111/fcp.12143

    Article  Google Scholar 

  • Bezin J, Duong M, Lassalle R et al (2017) The national healthcare system claims databases in France, SNIIRAM and EGB: Powerful tools for pharmacoepidemiology. Pharmacoepidemiol Drug Saf 26(8):954–962. https://doi.org/10.1002/pds.4233

    Article  Google Scholar 

  • Blin P, Lassalle R, Dureau-Pournin C et al (2012) Insulin glargine and risk of cancer: a cohort study in the French National Healthcare Insurance Database. Diabetologia 55(3):644–653. https://doi.org/10.1007/s00125-011-2429-5

    Article  Google Scholar 

  • Blin P, Dureau-Pournin C, Foubert-Samier A et al (2015) Parkinson’s disease incidence and prevalence assessment in France using the national healthcare insurance database. Eur J Neurol 22(3):464–471. https://doi.org/10.1111/ene.12592

    Article  Google Scholar 

  • Duong M, Salvo F, Pariente A et al. (2014) Usage patterns of ‘over-the-counter’ vs. prescription-strength nonsteroidal anti-inflammatory drugs in France. Br J Clin Pharmacol 77 (5):887–895. https://doi.org/10.1111/bcp.12239

  • Fagot JP, Blotiere PO, Ricordeau P et al (2013) Does insulin glargine increase the risk of cancer compared with other basal insulins? A French nationwide cohort study based on national administrative databases. Diabetes Care 36(2):294–301. https://doi.org/10.2337/dc12-0506

    Article  Google Scholar 

  • Gilleron V, Gasnier-Duparc N, Hebbrecht G (2018) Certification des comptes: Une incitation à la traçabilité des processus de contrôle. Revue Hospitaliere de France 582:42–46

    Google Scholar 

  • Health Data Hub (2020) https://www.health-data-hub.fr/. Accessed 2 Feb 2020

  • Maura G, Blotiere PO, Bouillon K et al (2015) Comparison of the short-term risk of bleeding and arterial thromboembolic events in nonvalvular atrial fibrillation patients newly treated with dabigatran or rivaroxaban versus vitamin K antagonists: a French nationwide propensity-matched cohort study. Circulation 132(13):1252–1260. https://doi.org/10.1161/CIRCULATIONAHA.115.015710

    Article  Google Scholar 

  • Moore N, Gulmez SE, Larrey D et al (2013) Choice of the denominator in case population studies: event rates for registration for liver transplantation after exposure to NSAIDs in the SALT study in France. Pharmacoepidemiol Drug Saf 22(2):160–167. https://doi.org/10.1002/pds.3371

    Article  Google Scholar 

  • Moulis G, Lapeyre-Mestre M, Palmaro A et al (2015) French health insurance databases: what interest for medical research? Rev Med Interne 36(6):411–417. https://doi.org/10.1016/j.revmed.2014.11.009

    Article  Google Scholar 

  • Neumann A, Weill A, Ricordeau P et al (2012) Pioglitazone and risk of bladder cancer among diabetic patients in France: a population-based cohort study. Diabetologia 55(7):1953–1962. https://doi.org/10.1007/s00125-012-2538-9

    Article  Google Scholar 

  • Neumann A, Maura G, Weill A et al (2014) Comparative effectiveness of rosuvastatin versus simvastatin in primary prevention among new users: a cohort study in the French national health insurance database. Pharmacoepidemiol Drug Saf 23(3):240–250. https://doi.org/10.1002/pds.3544

    Article  Google Scholar 

  • Plateforme des Données de Santé (2020) Accéder aux données de santé. https://www.indsante.fr/fr/deposer-une-demande. Accessed 2 Feb 2020

  • Quantin C, Bouzelat H, Dusserre L (1996) Irreversible encryption method by generation of polynomials. Med Inform (Lond) 21(2):113–121. https://doi.org/10.3109/14639239608995013

    Article  Google Scholar 

  • Quantin C, Bouzelat H, Dusserre L (1997) A computerized record hash coding and linkage procedure to warrant epidemiological follow-up data security. Stud Health Technol Inform 43(Pt A):339–342

    Google Scholar 

  • Quantin C, Bouzelat H, Allaert FA et al (1998a) Automatic record hash coding and linkage for epidemiological follow-up data confidentiality. Methods Inf Med 37(3):271–277

    Article  Google Scholar 

  • Quantin C, Bouzelat H, Allaert FA et al (1998b) How to ensure data security of an epidemiological follow-up: quality assessment of an anonymous record linkage procedure. Int J Med Inform 49(1):117–122. https://doi.org/10.1016/s1386-5056(98)00019-7

    Article  Google Scholar 

  • Thurin N, Blin P, Rouyer M et al (2018) Identifying patients with metastatic castration-resistant prostate cancers (mCRPC) in the SNDS database: Camerra Study. Pharmacoepidemiol Drug Saf 27:71–72

    Google Scholar 

  • Thurin N, Rouyer M, Gross-Goupil M et al (2019) Validation of a complex algorithm for the diagnosis of metastatic castration-resistant prostate cancer within a claims database. Pharmacoepidemiol Drug Saf 28:165–165

    Google Scholar 

  • Tuppin P, de Roquefeuil L, Weill A et al (2010) French national health insurance information system and the permanent beneficiaries sample. Rev Epidemiol Sante Publique 58(4):286–290. https://doi.org/10.1016/j.respe.2010.04.005

    Article  Google Scholar 

  • Weill A, Paita M, Tuppin P et al (2010) Benfluorex and valvular heart disease: a cohort study of a million people with diabetes mellitus. Pharmacoepidemiol Drug Saf 19(12):1256–1262. https://doi.org/10.1002/pds.2044

    Article  Google Scholar 

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Correspondence to Nicholas Moore or Cécile Droz .

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Moore, N., Blin, P., Lassalle, R., Thurin, N., Bosco-Levy, P., Droz, C. (2021). National Health Insurance Claims Database in France (SNIRAM), Système Nationale des Données de Santé (SNDS) and Health Data Hub (HDH). In: Sturkenboom, M., Schink, T. (eds) Databases for Pharmacoepidemiological Research. Springer Series on Epidemiology and Public Health. Springer, Cham. https://doi.org/10.1007/978-3-030-51455-6_10

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  • DOI: https://doi.org/10.1007/978-3-030-51455-6_10

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