IDEAS home Printed from https://ideas.repec.org/p/brh/wpaper/1202.html

Assessing the impact of national antibiotic campaigns in Europe

Author

Listed:
  • Massimo Filippini
  • González Ortiz, Laura G.
  • Giuliano Masiero

Abstract

Because of evidence of causal association between antibiotic use and bacterial resistance, the implementation of national policies has emerged as a interesting tool for controlling and reversing bacterial resistance. The aim of this study is to assess the impact of public policies on antibiotic use in Europe using a differences-in-differences approach. Comparable data on systemic administered antibiotics in 21 European countries are available for a 11-years panel between 1997 and 2007. Data on national campaigns are drawn from the public health literature. We estimate an econometric model of antibiotic consumption with country fixed effects and control for the main socioeconomic and epidemiological factors. Lagged values and the instrumental variables approach are applied to address endogeneity aspects of the prevalence of infections and the adoption of national campaigns. We find evidence that public campaigns significantly reduce the use of antimicrobials in the community by 1:3 to 5:6 defined daily doses per 1.000 inhabitants yearly. This roughly represents an impact between 6,5% and 28,3% on the mean level of antibiotic use in Europe between 1997 and 2007. The effect is robust across different measurement methods. Further research is needed to investigate the effectiveness of policy interventions targeting different social groups such as general practitioners or patients.

Suggested Citation

  • Massimo Filippini & González Ortiz, Laura G. & Giuliano Masiero, 2012. "Assessing the impact of national antibiotic campaigns in Europe," Working Papers 1202, Department of Management, Information and Production Engineering, University of Bergamo.
  • Handle: RePEc:brh:wpaper:1202
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10446/26756
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Blázquez-Fernández, Carla & González-Prieto, Noelia & Moreno-Mencía, Patricia, 2013. "Pharmaceutical Expenditure as a Determinant of Health Outcomes in EU Countries/El gasto farmacéutico como determinante de los resultados en salud en países de la UE," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 31, pages 379-396, Septiembr.
    2. Eibich, Peter & Ziebarth, Nicolas, 2014. "Examining the Structure of Spatial Health Effects in Germany Using Hierarchical Bayes Models," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 49, pages 305-320.
    3. Mueller, Tanja & Östergren, Per-Olof, 2016. "The correlation between regulatory conditions and antibiotic consumption within the WHO European Region," Health Policy, Elsevier, vol. 120(8), pages 882-889.
    4. Filippini, M. & Heimsch, F. & Masiero, G., 2014. "Antibiotic consumption and the role of dispensing physicians," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 242-251.
    5. Wang, Shaobin, 2020. "Spatial patterns and social-economic influential factors of population aging: A global assessment from 1990 to 2010," Social Science & Medicine, Elsevier, vol. 253(C).
    6. Anne Marie Kirkegaard & Stine Kloster & Michael Davidsen & Anne Illemann Christensen & Jørgen Vestbo & Niss Skov Nielsen & Annette Kjær Ersbøll & Lars Gunnarsen, 2023. "The Association between Perceived Annoyances in the Indoor Home Environment and Respiratory Infections: A Danish Cohort Study with up to 19 Years of Follow-Up," IJERPH, MDPI, vol. 20(3), pages 1-16, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling

    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:brh:wpaper:1202. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: University of Bergamo Library (email available below). General contact details of provider: https://edirc.repec.org/data/diberit.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.