IDEAS home Printed from https://ideas.repec.org/p/tep/teppwp/wp18-04.html

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

Author

Listed:
  • Fran ois-Olivier Baudot
  • Anne-Sophie Aguad
  • Thomas Barnay
  • Christelle Gastaldi-M nager
  • Anne Fagot-Campagna

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.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Fran ois-Olivier Baudot & Anne-Sophie Aguad & Thomas Barnay & Christelle Gastaldi-M nager & Anne Fagot-Campagna, 2018. "Impact of type 2 diabetes on health expenditure: an estimation based on individual administrative data," TEPP Working Paper 2018-04, TEPP.
  • Handle: RePEc:tep:teppwp:wp18-04
    as

    Download full text from publisher

    File URL: http://www.tepp-repec.eu/RePEc/files/teppwp/TEPP-wp-18-04-fob-asa-tb-cgm-afc.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Li-Wei Chao & Helena Szrek & Nuno Sousa Pereira & Mark V. Pauly, 2009. "Time preference and its relationship with age, health, and survival probability," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 4(1), pages 1-19, February.
    2. Manel Mata-Cases & Marc Casajuana & Josep Franch-Nadal & Aina Casellas & Conxa Castell & Irene Vinagre & Dídac Mauricio & Bonaventura Bolíbar, 2016. "Direct medical costs attributable to type 2 diabetes mellitus: a population-based study in Catalonia, Spain," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(8), pages 1001-1010, November.
    3. Betty Tao & Massimo Pietropaolo & Mark Atkinson & Desmond Schatz & David Taylor, 2010. "Estimating the Cost of Type 1 Diabetes in the U.S.: A Propensity Score Matching Method," PLOS ONE, Public Library of Science, vol. 5(7), pages 1-11, July.
    4. D. Sittig & H. Friedel & J. Wasem, 2015. "Prevalence and treatment costs of type 2 diabetes in Germany and the effects of social and demographical differences," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(3), pages 305-311, April.
    5. A. Marcellusi & R. Viti & A. Mecozzi & F. Mennini, 2016. "The direct and indirect cost of diabetes in Italy: a prevalence probabilistic approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(2), pages 139-147, March.
    6. Ebere Akobundu & Jing Ju & Lisa Blatt & C. Mullins, 2006. "Cost-of-Illness Studies," PharmacoEconomics, Springer, vol. 24(9), pages 869-890, September.
    7. Till Seuring & Olga Archangelidi & Marc Suhrcke, 2015. "The Economic Costs of Type 2 Diabetes: A Global Systematic Review," PharmacoEconomics, Springer, vol. 33(8), pages 811-831, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Ugolini, Cristina & Lippi Bruni, Matteo & Leucci, Anna Caterina & Fiorentini, Gianluca & Berti, Elena & Nobilio, Lucia & Moro, Maria Luisa, 2019. "Disease management in diabetes care: When involving GPs improves patient compliance and health outcomes," Health Policy, Elsevier, vol. 123(10), pages 955-962.
    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. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aysit Tansel & Ceyhan Ozturk & Erkan Erdil, 2021. "The Impact of Body Mass Index on Growth, Schooling, Productivity, and Savings: A Cross-Country Study," Koç University-TUSIAD Economic Research Forum Working Papers 2118, Koc University-TUSIAD Economic Research Forum.
    2. J. Pöhlmann & K. Norrbacka & K. S. Boye & W. J. Valentine & H. Sapin, 2020. "Costs and where to find them: identifying unit costs for health economic evaluations of diabetes in France, Germany and Italy," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(8), pages 1179-1196, November.
    3. Arthur E. Attema & Han Bleichrodt & Olivier L’Haridon & Patrick Peretti-Watel & Valérie Seror, 2018. "Discounting health and money: New evidence using a more robust method," Journal of Risk and Uncertainty, Springer, vol. 56(2), pages 117-140, April.
    4. Clara Bermudez-Tamayo & Stéphane Besançon & Mira Johri & Sidibe Assa & Jonathan Betz Brown & Kaushik Ramaiya, 2017. "Direct and indirect costs of diabetes mellitus in Mali: A case-control study," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-14, May.
    5. Haruhisa Fukuda & Shunya Ikeda & Takeru Shiroiwa & Takashi Fukuda, 2016. "The Effects of Diagnostic Definitions in Claims Data on Healthcare Cost Estimates: Evidence from a Large-Scale Panel Data Analysis of Diabetes Care in Japan," PharmacoEconomics, Springer, vol. 34(10), pages 1005-1014, October.
    6. Seuring, Till & Serneels, Pieter & Suhrcke, Marc & Bachmann, Max, 2020. "Diabetes, employment and behavioural risk factors in China: Marginal structural models versus fixed effects models," Economics & Human Biology, Elsevier, vol. 39(C).
    7. Elina Jussila & Kaisa Kotakorpi & Jouko Verho, 2022. "Prescription Behavior of Physicians in the Public and Private Sector," CESifo Working Paper Series 10186, CESifo.
    8. Tsusaka, Takuji W. & Kajisa, Kei & Pede, Valerien O. & Aoyagi, Keitaro, 2015. "Neighborhood effects and social behavior: The case of irrigated and rainfed farmers in Bohol, the Philippines," Journal of Economic Behavior & Organization, Elsevier, vol. 118(C), pages 227-246.
    9. David Cuesta-Frau & Daniel Novák & Vacláv Burda & Daniel Abasolo & Tricia Adjei & Manuel Varela & Borja Vargas & Milos Mraz & Petra Kavalkova & Marek Benes & Martin Haluzik, 2019. "Influence of Duodenal–Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods," Complexity, Hindawi, vol. 2019, pages 1-10, February.
    10. Rättö, Hanna & Kurko, Terhi & Martikainen, Jaana E. & Aaltonen, Katri, 2021. "The impact of a co-payment increase on the consumption of type 2 antidiabetics – A nationwide interrupted time series analysis," Health Policy, Elsevier, vol. 125(9), pages 1166-1172.
    11. Preuss, Malte, 2021. "Intra-individual stability of two survey measures on forward-looking attitude," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 201-227.
    12. Clémence Bussière & Nicolas Sirven & Thomas Rapp & Christine Sevilla‐Dedieu, 2020. "Adherence to medical follow‐up recommendations reduces hospital admissions: Evidence from diabetic patients in France," Health Economics, John Wiley & Sons, Ltd., vol. 29(4), pages 508-522, April.
    13. Gourzoulidis, George & Kourlaba, Georgia & Stafylas, Panagiotis & Giamouzis, Gregory & Parissis, John & Maniadakis, Nikolaos, 2017. "Association between copayment, medication adherence and outcomes in the management of patients with diabetes and heart failure," Health Policy, Elsevier, vol. 121(4), pages 363-377.
    14. Vicki L. Bogan & Angela R. Fertig, 2013. "Portfolio Choice and Mental Health," Review of Finance, European Finance Association, vol. 17(3), pages 955-992.
    15. William J. Skylark & Kieran T. F. Chan & George D. Farmer & Kai W. Gaskin & Amelia R. Miller, 2020. "The delay-reward heuristic: What do people expect in intertemporal choice tasks?," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 15(5), pages 611-629, September.
    16. Zexuan Wang & Ismaël Rafaï & Marc Willinger, 2023. "Does age affect the relation between risk and time preferences? Evidence from a representative sample," Southern Economic Journal, John Wiley & Sons, vol. 90(2), pages 341-368, October.
    17. Alireza Azarboo & Shaghayegh Hosseinkhani & Amirhossein Ghaseminejad-Raeini & Hossein Aazami & Sayed Mohammad Mohammadi & Saba Zeidi & Farideh Razi & Fatemeh Bandarian, 2024. "Association between ELMO1 gene polymorphisms and diabetic kidney disease: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-18, January.
    18. Isabelle Chort & Olivier Dagnelie, 2022. "Worms or sugar? Mass deworming treatment doubles the probability to suffer from diabetes ten to fifteen years later," Working papers of Transitions Energétiques et Environnementales (TREE) hal-03887621, HAL.
    19. Lahav, Eyal & Shavit, Tal & Benzion, Uri, 2016. "Can't wait to celebrate: Holiday euphoria, impulsive behavior and time preference," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 65(C), pages 128-134.
    20. Kureishi, Wataru & Paule-Paludkiewicz, Hannah & Tsujiyama, Hitoshi & Wakabayashi, Midori, 2021. "Time preferences over the life cycle and household saving puzzles," Journal of Monetary Economics, Elsevier, vol. 124(C), pages 123-139.

    More about this item

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tep:teppwp:wp18-04. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sylvain (email available below). General contact details of provider: https://edirc.repec.org/data/teppnfr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.