The distribution of antibiotic use and its association with antibiotic resistance

Author:

Olesen Scott W1ORCID,Barnett Michael L23,MacFadden Derek R4,Brownstein John S56,Hernández-Díaz Sonia7,Lipsitch Marc178ORCID,Grad Yonatan H19ORCID

Affiliation:

1. Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, United States

2. Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, United States

3. Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, United States

4. Division of Infectious Diseases, Department of Medicine, University of Toronto, Toronto, Canada

5. Boston Children’s Hospital, Boston, United States

6. Harvard Medical School, Boston, United States

7. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, United States

8. Center for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health, Boston, United States

9. Division of Infectious Diseases, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, United States

Abstract

Antibiotic use is a primary driver of antibiotic resistance. However, antibiotic use can be distributed in different ways in a population, and the association between the distribution of use and antibiotic resistance has not been explored. Here, we tested the hypothesis that repeated use of antibiotics has a stronger association with population-wide antibiotic resistance than broadly-distributed, low-intensity use. First, we characterized the distribution of outpatient antibiotic use across US states, finding that antibiotic use is uneven and that repeated use of antibiotics makes up a minority of antibiotic use. Second, we compared antibiotic use with resistance for 72 pathogen-antibiotic combinations across states. Finally, having partitioned total use into extensive and intensive margins, we found that intense use had a weaker association with resistance than extensive use. If the use-resistance relationship is causal, these results suggest that reducing total use and selection intensity will require reducing broadly distributed, low-intensity use.

Funder

National Institute of General Medical Sciences

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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