Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Jan 16:364:k5092.
doi: 10.1136/bmj.k5092.

Appropriateness of outpatient antibiotic prescribing among privately insured US patients: ICD-10-CM based cross sectional study

Affiliations

Appropriateness of outpatient antibiotic prescribing among privately insured US patients: ICD-10-CM based cross sectional study

Kao-Ping Chua et al. BMJ. .

Abstract

Objective: To assess the appropriateness of outpatient antibiotic prescribing for privately insured children and non-elderly adults in the US using a comprehensive classification scheme of diagnosis codes in ICD-10-CM (international classification of diseases-clinical modification, 10th revision), which replaced ICD-9-CM in the US on 1 October 2015.

Design: Cross sectional study.

Setting: MarketScan Commercial Claims and Encounters database, 2016.

Participants: 19.2 million enrollees aged 0-64 years.

Main outcome measures: A classification scheme was developed that determined whether each of the 91 738 ICD-10-CM diagnosis codes "always," "sometimes," or "never" justified antibiotics. For each antibiotic prescription fill, this scheme was used to classify all diagnosis codes in claims during a look back period that began three days before antibiotic prescription fills and ended on the day fills occurred. The main outcome was the proportion of fills in each of four mutually exclusive categories: "appropriate" (associated with at least one "always" code during the look back period, "potentially appropriate" (associated with at least one "sometimes" but no "always" codes), "inappropriate" (associated only with "never" codes), and "not associated with a recent diagnosis code" (no codes during the look back period).

Results: The cohort (n=19 203 264) comprised 14 571 944 (75.9%) adult and 9 935 791 (51.7%) female enrollees. Among 15 455 834 outpatient antibiotic prescription fills by the cohort, the most common antibiotics were azithromycin (2 931 242, 19.0%), amoxicillin (2 818 939, 18.2%), and amoxicillin-clavulanate (1 784 921, 11.6%). Among these 15 455 834 fills, 1 973 873 (12.8%) were appropriate, 5 487 003 (35.5%) were potentially appropriate, 3 592 183 (23.2%) were inappropriate, and 4 402 775 (28.5%) were not associated with a recent diagnosis code. Among the 3 592 183 inappropriate fills, 2 541 125 (70.7%) were written in office based settings, 222 804 (6.2%) in urgent care centers, and 168 396 (4.7%) in emergency departments. In 2016, 2 697 918 (14.1%) of the 19 203 264 enrollees filled at least one inappropriate antibiotic prescription, including 490 475 out of 4 631 320 children (10.6%) and 2 207 173 out of 14 571 944 adults (15.2%).

Conclusions: Among all outpatient antibiotic prescription fills by 19 203 264 privately insured US children and non-elderly adults in 2016, 23.2% were inappropriate, 35.5% were potentially appropriate, and 28.5% were not associated with a recent diagnosis code. Approximately 1 in 7 enrollees filled at least one inappropriate antibiotic prescription in 2016. The classification scheme could facilitate future efforts to comprehensively measure outpatient antibiotic appropriateness in the US, and it could be adapted for use in other countries that use ICD-10 codes.

PubMed Disclaimer

Conflict of interest statement

Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf and declare: no support from any organization for the submitted work; no financial relationships with any organizations that might have an interest in the submitted work in the previous three years; and no other relationships or activities that could appear to have influenced the submitted work.

Figures

Fig 1
Fig 1
Claims based measure of outpatient antibiotic appropriateness. (First column) At least one “always” code is present on a claim on the day of the fill or during the three days before the fill; (second column) at least one “sometimes” code and no “always” codes are present during the look back period; (third column) only “never” codes are present during the look back period; (fourth column) no claims and therefore no diagnosis codes are present during the look back period

Comment in

References

    1. Centers for Disease Control and Prevention. Antibiotic resistance threats in the United States, 2013. CDC; 2013 [cited 2018 October 15]. www.cdc.gov/drugresistance/threat-report-2013.
    1. Meeker D, Knight TK, Friedberg MW, et al. Nudging guideline-concordant antibiotic prescribing: a randomized clinical trial. JAMA Intern Med 2014;174:425-31. 10.1001/jamainternmed.2013.14191 - DOI - PMC - PubMed
    1. Meeker D, Linder JA, Fox CR, et al. Effect of behavioral interventions on inappropriate antibiotic prescribing among primary care practices: a randomized clinical trial. JAMA 2016;315:562-70. 10.1001/jama.2016.0275 - DOI - PMC - PubMed
    1. Centers for Disease Control and Prevention. Get smart: know when antibiotics work in doctor’s offices. CDC; 2017 [cited 2018 October 15]. www.cdc.gov/getsmart/community/index.html.
    1. Price L, Gozdzielewska L, Young M, et al. Effectiveness of interventions to improve the public’s antimicrobial resistance awareness and behaviours associated with prudent use of antimicrobials: a systematic review. J Antimicrob Chemother 2018;73:1464-78. 10.1093/jac/dky076 - DOI - PubMed

Publication types

MeSH terms

Substances