Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2013 Jul 24;8(7):e69075.
doi: 10.1371/journal.pone.0069075. Print 2013.

Did media attention of the 2009 A(H1N1) influenza epidemic increase outpatient antibiotic use in France?: A time-series analysis

Affiliations

Did media attention of the 2009 A(H1N1) influenza epidemic increase outpatient antibiotic use in France?: A time-series analysis

Adeline Bernier et al. PLoS One. .

Abstract

Background: In France, the 2009 A(H1N1) influenza epidemic occurred between September 2009 and January 2010. Sparking widespread controversy, it was intensely reported in the media. Despite therapeutic inefficacy, antibiotic consumption and viral respiratory infections are positively correlated, particularly in France, where antibiotic overconsumption is well-known. We first determined the period when media coverage was high, and then compared, during this period, observed outpatient antibiotic consumption to estimated outpatient antibiotic consumption "without media attention".

Materials and methods: TO EVALUATE MEDIA COVERAGE, TWO ONLINE DATABASES WERE CONSULTED: Factiva and Europresse. To quantify outpatient antibiotic consumption, we used data on reimbursements of outpatient systemic antibiotics from the computerized databases of the two main National Health Insurance agencies. Influenza-like syndromes data came from the French GPs Sentinelles Network. Weekly time-series of antibiotic consumption were modeled by autoregressive moving-average models with exogenous inputs and interventions. Analyses were computed for the entire series and by age group (0-5, 6-15, 16-60, and >60 years).

Results: Media coverage was intense between April 2009 and January 2010. No effect on total outpatient antibiotic consumption was observed during the whole mediatic period. However, during the epidemic in France (September 2009-January 2010), we found an antibiotic underconsumption for the entire series, 0-5 and >60 years. Additionally, at the beginning of the pandemic, when cases were still outside France (June 2009-August 2009), we found an antibiotic overconsumption for patients >16 years.

Conclusion: The early period of A(H1N1) virus circulation compared with seasonal influenza or an overdeclaration of ILS cases might explain the antibiotic underconsumption observed during the period of active A(H1N1) virus transmission in France. At the pandemic onset, when uncertainty was high, the overconsumption observed for individuals >16 years might have been caused by alarmist media reporting. Additional analyses are needed to understand the determinants of antibiotic consumption during this period.

PubMed Disclaimer

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Weekly number of antibiotic consumptions, periods and intervention functions used to construct the ARMAX model.
*Parameters estimated using the tendency since 2002 or the last observed one if it had changed. Dashed vertical lines separate the data periods and model predictions.
Figure 2
Figure 2. Weekly number of articles published on A(H1N1) and ILS incidence*: January 2009 – August 2010.
*influenza-like syndrome incidence per 100,000 inhabitants.
Figure 3
Figure 3. Weekly number of antibiotic prescriptions*: fit of the model and predictions for both scenarios#.
*per 1,000 inhabitants. #Scenario 1 corresponds to the “stationary” hypothesis and scenario 2 to the “evolutionary” one.
Figure 4
Figure 4. Estimated and predicted changes for both scenarios# of intervention functions for the entire series.
# Scenario 1 corresponds to the “stationary” hypothesis and scenario 2 to the “evolutionary” one.

References

    1. French GL (2010) The continuing crisis in antibiotic resistance. Int J Antimicrob Agents 36 (suppl 3)S3–7. - PubMed
    1. European Centre for Disease Prevention and Control, European Medicines Agency (2009) The bacterial challenge: time to react. Available: http://www.emea.europa.eu/docs/en_GB/document_library/Report/2009/11/WC5.... Accessed 2012 Jun 26.
    1. Low D (2008) Reducing antibiotic use in influenza: challenges and rewards. Clin Microbiol Infect 14: 298–306. - PubMed
    1. Pavia AT (2011) Viral infections of the lower respiratory tract: old viruses, new viruses, and the role of diagnosis. Clin Infect Dis 52 (suppl 4)S284–289. - PMC - PubMed
    1. Goossens H, Ferech M, Vander Stichele R, Elseviers M (2005) Outpatient antibiotic use in Europe and association with resistance: a cross-national database study. Lancet 365: 579–587. - PubMed

Publication types

MeSH terms

Substances