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Economic Consequences of the Demography of MRSA Patients and the Impact of Broad-Spectrum Antimicrobials

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  • Klaus Kaier
  • S. Moog

Abstract

Background: Studies have determined the societal impact of methicillin-resistant Staphylococcus aureus (MRSA) by modelling its impact on labour supply and productivity. In addition, most of the studies on the topic conclude that the problem of resistance should be counteracted on the macro level by reducing overall antibacterial consumption. Objective: Two major questions have been raised in the present work. Firstly, is MRSA impairing labour supply and productivity? Secondly, is it the overall use of antibacterials that may be seen as crucial to the spread of MRSA infections? Methods: The age distribution of MRSA patients is compared with the age distribution of the entire patient population at a German teaching hospital. In addition, the age distribution of MRSA patients was applied to the age distribution of the German population in the year 2050 in order to identify the effects of the double-ageing process on the spread of MRSA. Furthermore, recent epidemiological studies were reviewed on the impact of overall antibacterial consumption on MRSA infection rates. Results: Based on available data, we show that patients infected or colonized with MRSA are, for the most part, beyond retirement age and thus not responsible for changes in labour supply or productivity. Application of age distribution of MRSA patients to the age distribution of the German population in the year 2050 gives a 24% increase in the number of MRSA cases to a total of 182 778 due to an ageing population. In addition, we show that a 32% reduction in the cost of MRSA to the German healthcare system could be reached if use of fluoroquinolones and third-generation cephalosporins was reduced by just 10% and, correspondingly, use of antiseptics for hand disinfection was increased by 10%. Conclusions: MRSA is a phenomenon that, to a larger degree, affects the elderly population rather than the labour force. When it comes to policy options to counteract MRSA on the macro level, most economic research on the topic is biased in assuming that the overall use of antibacterials is responsible for the spread of MRSA infections. Copyright Springer International Publishing AG 2012

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  • Klaus Kaier & S. Moog, 2012. "Economic Consequences of the Demography of MRSA Patients and the Impact of Broad-Spectrum Antimicrobials," Applied Health Economics and Health Policy, Springer, vol. 10(4), pages 227-234, July.
    • Handle: RePEc:spr:aphecp:v:10:y:2012:i:4:p:227-234
    DOI: 10.2165/11631350-000000000-00000
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    1. Fischer, Carolyn & Laxminarayan, Ramanan, 2005. "Sequential development and exploitation of an exhaustible resource: do monopoly rights promote conservation?," Journal of Environmental Economics and Management, Elsevier, vol. 49(3), pages 500-515, May.
    2. Mitchell L. Cohen, 2000. "Changing patterns of infectious disease," Nature, Nature, vol. 406(6797), pages 762-767, August.
    3. John B. Horowitz & H. Brian Moehring, 2004. "How property rights and patents affect antibiotic resistance," Health Economics, John Wiley & Sons, Ltd., vol. 13(6), pages 575-583, June.
    4. Andreas Werblow & Stefan Felder & Peter Zweifel, 2007. "Population ageing and health care expenditure: a school of ‘red herrings’?," Health Economics, John Wiley & Sons, Ltd., vol. 16(10), pages 1109-1126, October.
    5. Herrmann, Markus, 2010. "Monopoly pricing of an antibiotic subject to bacterial resistance," Journal of Health Economics, Elsevier, vol. 29(1), pages 137-150, January.
    6. Bloom, David E. & Mahal, Ajay S., 1997. "Does the AIDS epidemic threaten economic growth?," Journal of Econometrics, Elsevier, vol. 77(1), pages 105-124, March.
    7. Joanna Coast & Richard D. Smith & Michael R. Millar, 1996. "Superbugs: Should antimicrobial resistance be included as a cost in economic evaluation?," Health Economics, John Wiley & Sons, Ltd., vol. 5(3), pages 217-226, May.
    8. Rudholm, Niklas, 2002. "Economic implications of antibiotic resistance in a global economy," Journal of Health Economics, Elsevier, vol. 21(6), pages 1071-1083, November.
    9. Smith, Richard D. & Yago, Milton & Millar, Michael & Coast, Jo, 2005. "Assessing the macroeconomic impact of a healthcare problem: The application of computable general equilibrium analysis to antimicrobial resistance," Journal of Health Economics, Elsevier, vol. 24(6), pages 1055-1075, November.
    10. Coast, J. & Smith, R. D. & Millar, M. R., 1998. "An economic perspective on policy to reduce antimicrobial resistance," Social Science & Medicine, Elsevier, vol. 46(1), pages 29-38, January.
    11. Ansgar Resch & Michael Wilke & Christian Fink, 2009. "The cost of resistance: incremental cost of methicillin-resistant Staphylococcus aureus (MRSA) in German hospitals," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 10(3), pages 287-297, July.
    12. Elamin H. Elbasha, 2003. "Deadweight loss of bacterial resistance due to overtreatment," Health Economics, John Wiley & Sons, Ltd., vol. 12(2), pages 125-138, February.
    13. Jeffrey Sachs & Pia Malaney, 2002. "The economic and social burden of malaria," Nature, Nature, vol. 415(6872), pages 680-685, February.
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    3. Granlund, David & Zykova, Yana, 2020. "Can privatisation of primary care contribute to the spread of antibiotic resistance?," Umeå Economic Studies 977, Umeå University, Department of Economics.

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