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Impact of type of 2 diabetes on health expenditure : an estimation based on individual administrative data

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  • François-Olivier Baudot

    (ERUDITE - Equipe de Recherche sur l’Utilisation des Données Individuelles en lien avec la Théorie Economique - UPEM - Université Paris-Est Marne-la-Vallée - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12, Caisse Nationale d'Assurance Maladie - Caisse Nationale d'Assurance Maladie)

  • Anne-Sophie Aguade

    (Caisse Nationale d'Assurance Maladie - Caisse Nationale d'Assurance Maladie)

  • Thomas Barnay

    (ERUDITE - Equipe de Recherche sur l’Utilisation des Données Individuelles en lien avec la Théorie Economique - UPEM - Université Paris-Est Marne-la-Vallée - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12, TEPP - Travail, Emploi et Politiques Publiques - UPEM - Université Paris-Est Marne-la-Vallée - CNRS - Centre National de la Recherche Scientifique)

  • Christelle Gastaldi-Menager

    (Caisse Nationale d'Assurance Maladie - Caisse Nationale d'Assurance Maladie)

  • Anne Fagot-Campagna

    (Caisse Nationale d'Assurance Maladie - Caisse Nationale d'Assurance Maladie)

Abstract

Only limited data are available in France on the incidence and health expenditure of type 2 diabetes. The objective of this study, based on national health insurance administrative database, is to describe the expenditure reimbursed to patients newly treated for type 2 diabetes and the proportion of expenditure attributable to diabetes. The study is conducted over a 6-year period from 2008, the year of incidence of treated diabetes, to 2014. Type 2 diabetic patients aged 45 years and older are identified on the basis of their drug consumption. To estimate expenditure attributable to diabetes, a matched control group is selected among more than 13 million beneficiaries over 44 years old not taking antidiabetic treatment. The expenditure attributable to diabetes is estimated by two methods: simple comparison of reimbursed health expenditure between both groups, and a difference-in-differences method including control variables. The cohort of incident type 2 diabetic patients comprises 170,013 patients in 2008. Mean global reimbursed expenditure is €4700 per patient in 2008 and €5500 in 2015. Expenditure attributable to diabetes, estimated by direct comparison with controls, is €1500 in the first year. We, thus, observe a decrease in the following year due to decreased hospitalisations, and then expenditure increase by an average of 7% per year to reach €1900 in the eighth year after the initiation of treatment.
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  • François-Olivier Baudot & Anne-Sophie Aguade & Thomas Barnay & Christelle Gastaldi-Menager & Anne Fagot-Campagna, 2018. "Impact of type of 2 diabetes on health expenditure : an estimation based on individual administrative data," Working Papers halshs-01878942, HAL.
    • Handle: RePEc:hal:wpaper:halshs-01878942
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01878942
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    2. Viera Ivanková & Rastislav Kotulič & Jaroslav Gonos & Martin Rigelský, 2019. "Health Care Financing Systems and Their Effectiveness: An Empirical Study of OECD Countries," IJERPH, MDPI, vol. 16(20), pages 1-22, October.
    3. Elsa Bouée-Benhamiche & Philippe Jean Bousquet & Salah Ghabri, 2020. "Economic Evaluations of Anticancer Drugs Based on Medico-Administrative Databases: A Systematic Literature Review," Applied Health Economics and Health Policy, Springer, vol. 18(4), pages 491-508, August.
    4. Karen Eggleston & Brian K. Chen & Chih-Hung Chen & Ying Isabel Chen & Talitha Feenstra & Toshiaki Iizuka & Janet Tin Kei Lam & Gabriel M. Leung & Jui-fen Rachel Lu & Beatriz Rodriguez-Sanchez & Jeroen, 2020. "Are quality-adjusted medical prices declining for chronic disease? Evidence from diabetes care in four health systems," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(5), pages 689-702, July.

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    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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