When Does Overuse of Antibiotics Become a Tragedy of the Commons?
Over-prescribing of antibiotics is considered to result in increased morbidity and mortality from drug-resistant organisms. A resulting common wisdom is that it would be better for society if physicians would restrain their prescription of antibiotics. In this view, self-interest and societal intere...
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Published in | PloS one Vol. 7; no. 12; p. e46505 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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Public Library of Science
07.12.2012
Public Library of Science (PLoS) |
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Abstract | Over-prescribing of antibiotics is considered to result in increased morbidity and mortality from drug-resistant organisms. A resulting common wisdom is that it would be better for society if physicians would restrain their prescription of antibiotics. In this view, self-interest and societal interest are at odds, making antibiotic use a classic "tragedy of the commons".
We developed two mathematical models of transmission of antibiotic resistance, featuring de novo development of resistance and transmission of resistant organisms. We analyzed the decision to prescribe antibiotics as a mathematical game, by analyzing individual incentives and community outcomes.
A conflict of interest may indeed result, though not in all cases. Increased use of antibiotics by individuals benefits society under certain circumstances, despite the amplification of drug-resistant strains or organisms. In situations where increased use of antibiotics leads to less favorable outcomes for society, antibiotics may be harmful for the individual as well. For other scenarios, where a conflict between self-interest and society exists, restricting antibody use would benefit society. Thus, a case-by-case assessment of appropriate use of antibiotics may be warranted. |
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AbstractList | Over-prescribing of antibiotics is considered to result in increased morbidity and mortality from drug-resistant organisms. A resulting common wisdom is that it would be better for society if physicians would restrain their prescription of antibiotics. In this view, self-interest and societal interest are at odds, making antibiotic use a classic "tragedy of the commons". We developed two mathematical models of transmission of antibiotic resistance, featuring de novo development of resistance and transmission of resistant organisms. We analyzed the decision to prescribe antibiotics as a mathematical game, by analyzing individual incentives and community outcomes. A conflict of interest may indeed result, though not in all cases. Increased use of antibiotics by individuals benefits society under certain circumstances, despite the amplification of drug-resistant strains or organisms. In situations where increased use of antibiotics leads to less favorable outcomes for society, antibiotics may be harmful for the individual as well. For other scenarios, where a conflict between self-interest and society exists, restricting antibody use would benefit society. Thus, a case-by-case assessment of appropriate use of antibiotics may be warranted. Background Over-prescribing of antibiotics is considered to result in increased morbidity and mortality from drug-resistant organisms. A resulting common wisdom is that it would be better for society if physicians would restrain their prescription of antibiotics. In this view, self-interest and societal interest are at odds, making antibiotic use a classic “tragedy of the commons”. Methods and Findings We developed two mathematical models of transmission of antibiotic resistance, featuring de novo development of resistance and transmission of resistant organisms. We analyzed the decision to prescribe antibiotics as a mathematical game, by analyzing individual incentives and community outcomes. Conclusions A conflict of interest may indeed result, though not in all cases. Increased use of antibiotics by individuals benefits society under certain circumstances, despite the amplification of drug-resistant strains or organisms. In situations where increased use of antibiotics leads to less favorable outcomes for society, antibiotics may be harmful for the individual as well. For other scenarios, where a conflict between self-interest and society exists, restricting antibody use would benefit society. Thus, a case-by-case assessment of appropriate use of antibiotics may be warranted. Over-prescribing of antibiotics is considered to result in increased morbidity and mortality from drug-resistant organisms. A resulting common wisdom is that it would be better for society if physicians would restrain their prescription of antibiotics. In this view, self-interest and societal interest are at odds, making antibiotic use a classic "tragedy of the commons". We developed two mathematical models of transmission of antibiotic resistance, featuring de novo development of resistance and transmission of resistant organisms. We analyzed the decision to prescribe antibiotics as a mathematical game, by analyzing individual incentives and community outcomes. A conflict of interest may indeed result, though not in all cases. Increased use of antibiotics by individuals benefits society under certain circumstances, despite the amplification of drug-resistant strains or organisms. In situations where increased use of antibiotics leads to less favorable outcomes for society, antibiotics may be harmful for the individual as well. For other scenarios, where a conflict between self-interest and society exists, restricting antibody use would benefit society. Thus, a case-by-case assessment of appropriate use of antibiotics may be warranted. Over-prescribing of antibiotics is considered to result in increased morbidity and mortality from drug-resistant organisms. A resulting common wisdom is that it would be better for society if physicians would restrain their prescription of antibiotics. In this view, self-interest and societal interest are at odds, making antibiotic use a classic "tragedy of the commons".BACKGROUNDOver-prescribing of antibiotics is considered to result in increased morbidity and mortality from drug-resistant organisms. A resulting common wisdom is that it would be better for society if physicians would restrain their prescription of antibiotics. In this view, self-interest and societal interest are at odds, making antibiotic use a classic "tragedy of the commons".We developed two mathematical models of transmission of antibiotic resistance, featuring de novo development of resistance and transmission of resistant organisms. We analyzed the decision to prescribe antibiotics as a mathematical game, by analyzing individual incentives and community outcomes.METHODS AND FINDINGSWe developed two mathematical models of transmission of antibiotic resistance, featuring de novo development of resistance and transmission of resistant organisms. We analyzed the decision to prescribe antibiotics as a mathematical game, by analyzing individual incentives and community outcomes.A conflict of interest may indeed result, though not in all cases. Increased use of antibiotics by individuals benefits society under certain circumstances, despite the amplification of drug-resistant strains or organisms. In situations where increased use of antibiotics leads to less favorable outcomes for society, antibiotics may be harmful for the individual as well. For other scenarios, where a conflict between self-interest and society exists, restricting antibody use would benefit society. Thus, a case-by-case assessment of appropriate use of antibiotics may be warranted.CONCLUSIONSA conflict of interest may indeed result, though not in all cases. Increased use of antibiotics by individuals benefits society under certain circumstances, despite the amplification of drug-resistant strains or organisms. In situations where increased use of antibiotics leads to less favorable outcomes for society, antibiotics may be harmful for the individual as well. For other scenarios, where a conflict between self-interest and society exists, restricting antibody use would benefit society. Thus, a case-by-case assessment of appropriate use of antibiotics may be warranted. Background Over-prescribing of antibiotics is considered to result in increased morbidity and mortality from drug-resistant organisms. A resulting common wisdom is that it would be better for society if physicians would restrain their prescription of antibiotics. In this view, self-interest and societal interest are at odds, making antibiotic use a classic “tragedy of the commons”. Methods and Findings We developed two mathematical models of transmission of antibiotic resistance, featuring de novo development of resistance and transmission of resistant organisms. We analyzed the decision to prescribe antibiotics as a mathematical game, by analyzing individual incentives and community outcomes. Conclusions A conflict of interest may indeed result, though not in all cases. Increased use of antibiotics by individuals benefits society under certain circumstances, despite the amplification of drug-resistant strains or organisms. In situations where increased use of antibiotics leads to less favorable outcomes for society, antibiotics may be harmful for the individual as well. For other scenarios, where a conflict between self-interest and society exists, restricting antibody use would benefit society. Thus, a case-by-case assessment of appropriate use of antibiotics may be warranted. |
Audience | Academic |
Author | Porco, Travis C. Enanoria, Wayne T. Lietman, Thomas M. Galvani, Alison P. Scott, James C. Shim, Eunha Gao, Daozhou |
AuthorAffiliation | 3 Center for Infectious Disease and Emergency Readiness, University of California, Berkeley, California, United States of America 7 Department of Ophthalmology, University of California San Francisco, San Francisco, California, United States of America University of Ottawa, Canada 5 Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America 8 Institute for Global Health, University of California San Francisco, San Francisco, California, United States of America 1 Francis I. Proctor Foundation for Research in Ophthalmology, University of California San Francisco, San Francisco, California, United States of America 2 Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America 6 School of Medicine, Yale University, New Haven, Connecticut, United States of America 4 Department of Mathematics and Statistics, Colby College, Waterville, Maine, U |
AuthorAffiliation_xml | – name: 7 Department of Ophthalmology, University of California San Francisco, San Francisco, California, United States of America – name: 5 Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America – name: 1 Francis I. Proctor Foundation for Research in Ophthalmology, University of California San Francisco, San Francisco, California, United States of America – name: 3 Center for Infectious Disease and Emergency Readiness, University of California, Berkeley, California, United States of America – name: 6 School of Medicine, Yale University, New Haven, Connecticut, United States of America – name: 4 Department of Mathematics and Statistics, Colby College, Waterville, Maine, United States of America – name: 2 Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America – name: 8 Institute for Global Health, University of California San Francisco, San Francisco, California, United States of America – name: University of Ottawa, Canada |
Author_xml | – sequence: 1 givenname: Travis C. surname: Porco fullname: Porco, Travis C. – sequence: 2 givenname: Daozhou surname: Gao fullname: Gao, Daozhou – sequence: 3 givenname: James C. surname: Scott fullname: Scott, James C. – sequence: 4 givenname: Eunha surname: Shim fullname: Shim, Eunha – sequence: 5 givenname: Wayne T. surname: Enanoria fullname: Enanoria, Wayne T. – sequence: 6 givenname: Alison P. surname: Galvani fullname: Galvani, Alison P. – sequence: 7 givenname: Thomas M. surname: Lietman fullname: Lietman, Thomas M. |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/23236344$$D View this record in MEDLINE/PubMed |
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Copyright | COPYRIGHT 2012 Public Library of Science 2012 Porco et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2012 Porco et al 2012 Porco et al |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Conceived and designed the experiments: TL TCP. Performed the experiments: TCP. Analyzed the data: TCP DZG TL. Wrote the paper: TCP DZG TL AG ES JS WTE. Competing Interests: The authors have declared that no competing interests exist. |
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Snippet | Over-prescribing of antibiotics is considered to result in increased morbidity and mortality from drug-resistant organisms. A resulting common wisdom is that... Background Over-prescribing of antibiotics is considered to result in increased morbidity and mortality from drug-resistant organisms. A resulting common... Background Over-prescribing of antibiotics is considered to result in increased morbidity and mortality from drug-resistant organisms. A resulting common... |
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SubjectTerms | Analysis Anti-Bacterial Agents - therapeutic use Antibiotic resistance Antibiotics Biology Conflicts of interest Decision analysis Decision making Disease transmission Drug resistance Drug Resistance, Microbial Epidemiology Ethical aspects Health aspects Humans Immunization Incentives Infections Infectious diseases Mathematical analysis Mathematical models Mathematics Medical personnel Medical societies Medicine Microbial drug resistance Models, Biological Morbidity Ordinary differential equations Organisms Physicians Population Practice Patterns, Physicians Self interest Social aspects Tuberculosis |
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Title | When Does Overuse of Antibiotics Become a Tragedy of the Commons? |
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