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Public Health Surveillance of Outpatient Antibiotic Prescription Trends, United States, 2011-2019.

Supporting Files
File Language:
English


Details

  • Alternative Title:
    American Journal of Epidemiology, 2025, v. 194, no. 10: Public Health Surveillance of Outpatient Antibiotic Prescription Trends, United States, 2011-2019.
  • Journal Article:
    American Journal of Epidemiology
  • Personal Author:
  • Description:
    Optimizing antibiotic use is critical for reducing adverse drug events and slowing the development of antimicrobial resistance. The U.S. Centers for Disease Control and Prevention (CDC) has led efforts to track and report national antibiotic prescribing practices.1,2 A previously published analysis using IQVIA® Xponent data showed a decrease in overall prescribing rates during 2011-2016, largely driven by decreases among pediatric patient populations.2 Using a patented projection methodology, IQVIA® data captures about 93% of outpatient prescriptions dispensed in U.S. retail pharmacies and projects 100% of retail prescriptions sold.3 These data are used for national surveillance of antibiotic use, as well as other drugs, and publicly shared on CDC's Antimicrobial Resistance & Patient Safety Portal (https://arpsp.cdc.gov/).4,5 In 2017, IQVIA® revised its methodology to only include filled and dispensed prescriptions, decreasing the number of prescriptions captured in the database.3 The objective of this analysis was to assess the antibiotic prescribing trends from 2011-2019 for public health surveillance accounting for methodological changes by using the Joinpoint-jump regression program.
  • Content Notes:
    Author manuscript
  • Subjects:
  • Keywords:
  • Source:
    American Journal of Epidemiology, 2025, v. 194, no. 10
  • DOI:
  • ISSN:
    0002-9262 ; 1476-6256
  • Pubmed ID:
    39367708
  • Pubmed Central ID:
    PMC12120937
  • Document Type:
  • Funding:
  • Genre:
  • Pages in Document:
    3062-3065 (7 pdf pages)
  • Volume:
    194
  • Issue:
    10
  • Download URL:
  • File Type:
    Filetype[PDF - 324.46 KB]
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:e46f54b3d26e3f7c3d3504e34157dbf2185f51711c46a9f4a767637c9c6098e199e0cbd4bdb546fe02b6e2f83ca5dc1d38d90aa04469e6ebd4bf43bc8a8355af
File Language:
English
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