Resistance Elasticity of Antibiotic Demand in Intensive Care
Summary The emergence and spread of antimicrobial resistance (AMR) is still an unresolved problem worldwide. In intensive care units (ICUs), first‐line antibiotic therapy is highly standardized and widely empiric while treatment failure because of AMR often has severe consequences. Simultaneously, t...
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Veröffentlicht in: | Health economics 2017-07, Vol.26 (7), p.892-909 |
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The emergence and spread of antimicrobial resistance (AMR) is still an unresolved problem worldwide. In intensive care units (ICUs), first‐line antibiotic therapy is highly standardized and widely empiric while treatment failure because of AMR often has severe consequences. Simultaneously, there is a limited number of reserve antibiotics, whose prices and/or side effects are substantially higher than first‐line therapy. This paper explores the implications of resistance‐induced substitution effects in ICUs. The extent of such substitution effects is shown in a dynamic fixed effect regression analysis using a panel of 66 German ICUs with monthly antibiotic use and resistance data between 2001 and 2012. Our findings support the hypothesis that demand for reserve antibiotics substantially increases when resistance towards first‐line agents rises. For some analyses the lagged effect of resistance is also significant, supporting the conjecture that part of the substitution effect is caused by physicians changing antibiotic choices in empiric treatment by adapting their resistance expectation to new information on resistance prevalence. The available information about resistance rates allows physicians to efficiently balance the trade‐off between exacerbating resistance and ensuring treatment success. However, resistance‐induced substitution effects are not free of charge. These effects should be considered an indirect burden of AMR. Copyright © 2016 John Wiley & Sons, Ltd. |
doi_str_mv | 10.1002/hec.3363 |
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The emergence and spread of antimicrobial resistance (AMR) is still an unresolved problem worldwide. In intensive care units (ICUs), first‐line antibiotic therapy is highly standardized and widely empiric while treatment failure because of AMR often has severe consequences. Simultaneously, there is a limited number of reserve antibiotics, whose prices and/or side effects are substantially higher than first‐line therapy. This paper explores the implications of resistance‐induced substitution effects in ICUs. The extent of such substitution effects is shown in a dynamic fixed effect regression analysis using a panel of 66 German ICUs with monthly antibiotic use and resistance data between 2001 and 2012. Our findings support the hypothesis that demand for reserve antibiotics substantially increases when resistance towards first‐line agents rises. For some analyses the lagged effect of resistance is also significant, supporting the conjecture that part of the substitution effect is caused by physicians changing antibiotic choices in empiric treatment by adapting their resistance expectation to new information on resistance prevalence. The available information about resistance rates allows physicians to efficiently balance the trade‐off between exacerbating resistance and ensuring treatment success. However, resistance‐induced substitution effects are not free of charge. These effects should be considered an indirect burden of AMR. Copyright © 2016 John Wiley & Sons, Ltd.</description><identifier>ISSN: 1057-9230</identifier><identifier>EISSN: 1099-1050</identifier><identifier>DOI: 10.1002/hec.3363</identifier><identifier>PMID: 27264356</identifier><language>eng</language><publisher>England: Wiley Periodicals Inc</publisher><subject>Anti-Bacterial Agents - administration & dosage ; Anti-Bacterial Agents - economics ; antibiotic substitution ; Antibiotics ; antimicrobial resistance ; Clinical outcomes ; Drug resistance ; Drug Resistance, Bacterial ; Drug Utilization - statistics & numerical data ; Germany ; Humans ; indirect costs of resistance ; Intensive care ; Intensive Care Units - economics ; Intensive Care Units - statistics & numerical data ; Models, Econometric ; Physicians ; Practice Patterns, Physicians ; prescribing behaviour ; Prices ; Side effects</subject><ispartof>Health economics, 2017-07, Vol.26 (7), p.892-909</ispartof><rights>Copyright © 2016 John Wiley & Sons, Ltd.</rights><rights>Copyright © 2017 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4483-327b9d3068a133919392585fc6957d0785b12f755225186b5900f613a6e1aae33</citedby><cites>FETCH-LOGICAL-c4483-327b9d3068a133919392585fc6957d0785b12f755225186b5900f613a6e1aae33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fhec.3363$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fhec.3363$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,30976,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27264356$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Heister, Thomas</creatorcontrib><creatorcontrib>Hagist, Christian</creatorcontrib><creatorcontrib>Kaier, Klaus</creatorcontrib><title>Resistance Elasticity of Antibiotic Demand in Intensive Care</title><title>Health economics</title><addtitle>Health Econ</addtitle><description>Summary
The emergence and spread of antimicrobial resistance (AMR) is still an unresolved problem worldwide. In intensive care units (ICUs), first‐line antibiotic therapy is highly standardized and widely empiric while treatment failure because of AMR often has severe consequences. Simultaneously, there is a limited number of reserve antibiotics, whose prices and/or side effects are substantially higher than first‐line therapy. This paper explores the implications of resistance‐induced substitution effects in ICUs. The extent of such substitution effects is shown in a dynamic fixed effect regression analysis using a panel of 66 German ICUs with monthly antibiotic use and resistance data between 2001 and 2012. Our findings support the hypothesis that demand for reserve antibiotics substantially increases when resistance towards first‐line agents rises. For some analyses the lagged effect of resistance is also significant, supporting the conjecture that part of the substitution effect is caused by physicians changing antibiotic choices in empiric treatment by adapting their resistance expectation to new information on resistance prevalence. The available information about resistance rates allows physicians to efficiently balance the trade‐off between exacerbating resistance and ensuring treatment success. However, resistance‐induced substitution effects are not free of charge. These effects should be considered an indirect burden of AMR. Copyright © 2016 John Wiley & Sons, Ltd.</description><subject>Anti-Bacterial Agents - administration & dosage</subject><subject>Anti-Bacterial Agents - economics</subject><subject>antibiotic substitution</subject><subject>Antibiotics</subject><subject>antimicrobial resistance</subject><subject>Clinical outcomes</subject><subject>Drug resistance</subject><subject>Drug Resistance, Bacterial</subject><subject>Drug Utilization - statistics & numerical data</subject><subject>Germany</subject><subject>Humans</subject><subject>indirect costs of resistance</subject><subject>Intensive care</subject><subject>Intensive Care Units - economics</subject><subject>Intensive Care Units - statistics & numerical data</subject><subject>Models, Econometric</subject><subject>Physicians</subject><subject>Practice Patterns, Physicians</subject><subject>prescribing behaviour</subject><subject>Prices</subject><subject>Side effects</subject><issn>1057-9230</issn><issn>1099-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNp1kE1LAzEQhoMotlbBXyALXrxsnSRNsgEvslZbKAii55DdncWU_aibrdJ_b2qrguBphpmHh5mXkHMKYwrArl8xH3Mu-QEZUtA6piDgcNsLFWvGYUBOvF8ChB3IYzJgiskJF3JIbp7QO9_bJsdoWlnfu9z1m6gto9umd5lrwyC6w9o2ReSaaN702Hj3jlFqOzwlR6WtPJ7t64i83E-f01m8eHyYp7eLOJ9MEh5zpjJdcJCJpZxrqrlmIhFlLrVQBahEZJSVSgjGBE1kJjRAKSm3Eqm1yPmIXO28q659W6PvTe18jlVlG2zX3tBEaBV-UyKgl3_QZbvumnCdoRqESDRw_SvMu9b7Dkuz6lxtu42hYLaJmpCo2SYa0Iu9cJ3VWPyA3xEGIN4BH67Czb8iM5umX8JPZAJ7Fg</recordid><startdate>201707</startdate><enddate>201707</enddate><creator>Heister, Thomas</creator><creator>Hagist, Christian</creator><creator>Kaier, Klaus</creator><general>Wiley Periodicals Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7X8</scope></search><sort><creationdate>201707</creationdate><title>Resistance Elasticity of Antibiotic Demand in Intensive Care</title><author>Heister, Thomas ; Hagist, Christian ; Kaier, Klaus</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4483-327b9d3068a133919392585fc6957d0785b12f755225186b5900f613a6e1aae33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Anti-Bacterial Agents - administration & dosage</topic><topic>Anti-Bacterial Agents - economics</topic><topic>antibiotic substitution</topic><topic>Antibiotics</topic><topic>antimicrobial resistance</topic><topic>Clinical outcomes</topic><topic>Drug resistance</topic><topic>Drug Resistance, Bacterial</topic><topic>Drug Utilization - statistics & numerical data</topic><topic>Germany</topic><topic>Humans</topic><topic>indirect costs of resistance</topic><topic>Intensive care</topic><topic>Intensive Care Units - economics</topic><topic>Intensive Care Units - statistics & numerical data</topic><topic>Models, Econometric</topic><topic>Physicians</topic><topic>Practice Patterns, Physicians</topic><topic>prescribing behaviour</topic><topic>Prices</topic><topic>Side effects</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Heister, Thomas</creatorcontrib><creatorcontrib>Hagist, Christian</creatorcontrib><creatorcontrib>Kaier, Klaus</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>MEDLINE - Academic</collection><jtitle>Health economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Heister, Thomas</au><au>Hagist, Christian</au><au>Kaier, Klaus</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Resistance Elasticity of Antibiotic Demand in Intensive Care</atitle><jtitle>Health economics</jtitle><addtitle>Health Econ</addtitle><date>2017-07</date><risdate>2017</risdate><volume>26</volume><issue>7</issue><spage>892</spage><epage>909</epage><pages>892-909</pages><issn>1057-9230</issn><eissn>1099-1050</eissn><abstract>Summary
The emergence and spread of antimicrobial resistance (AMR) is still an unresolved problem worldwide. In intensive care units (ICUs), first‐line antibiotic therapy is highly standardized and widely empiric while treatment failure because of AMR often has severe consequences. Simultaneously, there is a limited number of reserve antibiotics, whose prices and/or side effects are substantially higher than first‐line therapy. This paper explores the implications of resistance‐induced substitution effects in ICUs. The extent of such substitution effects is shown in a dynamic fixed effect regression analysis using a panel of 66 German ICUs with monthly antibiotic use and resistance data between 2001 and 2012. Our findings support the hypothesis that demand for reserve antibiotics substantially increases when resistance towards first‐line agents rises. For some analyses the lagged effect of resistance is also significant, supporting the conjecture that part of the substitution effect is caused by physicians changing antibiotic choices in empiric treatment by adapting their resistance expectation to new information on resistance prevalence. The available information about resistance rates allows physicians to efficiently balance the trade‐off between exacerbating resistance and ensuring treatment success. However, resistance‐induced substitution effects are not free of charge. These effects should be considered an indirect burden of AMR. Copyright © 2016 John Wiley & Sons, Ltd.</abstract><cop>England</cop><pub>Wiley Periodicals Inc</pub><pmid>27264356</pmid><doi>10.1002/hec.3363</doi><tpages>18</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Anti-Bacterial Agents - administration & dosage Anti-Bacterial Agents - economics antibiotic substitution Antibiotics antimicrobial resistance Clinical outcomes Drug resistance Drug Resistance, Bacterial Drug Utilization - statistics & numerical data Germany Humans indirect costs of resistance Intensive care Intensive Care Units - economics Intensive Care Units - statistics & numerical data Models, Econometric Physicians Practice Patterns, Physicians prescribing behaviour Prices Side effects |
title | Resistance Elasticity of Antibiotic Demand in Intensive Care |
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