Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-12-02T19:46:15.692Z Has data issue: false hasContentIssue false

Outpatient Antibiotic Prescription Trends in the United States: A National Cohort Study

Published online by Cambridge University Press:  08 March 2018

Michael J. Durkin*
Affiliation:
Division of Infectious Diseases, Washington University School of Medicine, St Louis, Missouri
S. Reza Jafarzadeh
Affiliation:
Clinical Epidemiology Research and Training Unit, Boston University School of Medicine, Boston, Massachusetts
Kevin Hsueh
Affiliation:
Division of Infectious Diseases, Washington University School of Medicine, St Louis, Missouri
Ya Haddy Sallah
Affiliation:
Division of Infectious Diseases, Washington University School of Medicine, St Louis, Missouri
Kiraat D. Munshi
Affiliation:
Express Scripts Holding Company, St Louis, Missouri
Rochelle R. Henderson
Affiliation:
Express Scripts Holding Company, St Louis, Missouri
Victoria J. Fraser
Affiliation:
Division of Infectious Diseases, Washington University School of Medicine, St Louis, Missouri
*
Address correspondence to Michael J. Durkin MD, MPH, Washington University School of Medicine, Campus Box 8051, 4523 Clayton Ave, St. Louis, MO, 63110 ([email protected]).

Abstract

OBJECTIVE

To characterize trends in outpatient antibiotic prescriptions in the United States

DESIGN

Retrospective ecological and temporal trend study evaluating outpatient antibiotic prescriptions from 2013 to 2015

SETTING

National administrative claims data from a pharmacy benefits manager PARTICIPANTS. Prescription pharmacy beneficiaries from Express Scripts Holding Company

MEASUREMENTS

Annual and seasonal percent change in antibiotic prescriptions

RESULTS

Approximately 98 million outpatient antibiotic prescriptions were filled by 39 million insurance beneficiaries during the 3-year study period. The most commonly prescribed antibiotics were azithromycin, amoxicillin, amoxicillin/clavulanate, ciprofloxacin, and cephalexin. No significant changes in individual or overall annual antibiotic prescribing rates were found during the study period. Significant seasonal variation was observed, with antibiotics being 42% more likely to be prescribed during February than September (peak-to-trough ratio [PTTR], 1.42; 95% confidence interval [CI], 1.39–1.61). Similar seasonal trends were found for azithromycin (PTTR, 2.46; 95% CI, 2.44–3.47), amoxicillin (PTTR, 1.52; 95% CI, 1.42–1.89), and amoxicillin/clavulanate (PTTR, 1.78; 95% CI, 1.68–2.29).

CONCLUSIONS

This study demonstrates that annual national outpatient antibiotic prescribing practices remained unchanged during our study period. Furthermore, seasonal peaks in antibiotics generally used to treat viral upper respiratory tract infections remained unchanged during cold and influenza season. These results suggest that inappropriate prescribing of antibiotics remains widespread, despite the concurrent release of several guideline-based best practices intended to reduce inappropriate antibiotic consumption; however, further research linking national outpatient antibiotic prescriptions to associated medical conditions is needed to confirm these findings.

Infect Control Hosp Epidemiol 2018;39:584–589

Type
Original Articles
Copyright
© 2018 by The Society for Healthcare Epidemiology of America. All rights reserved 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

PREVIOUS PRESENTATION. A poster presentation of this data was presented at SHEA 2017 on March 31, 2017, in St Louis, Missouri.

References

REFERENCES

1. Antibiotic resistance threats in the United States. 2013. Centers for Disease Control and Prevention website. https://www.cdc.gov/drugresistance/threat-report-2013/pdf/ar-threats-2013-508.pdf. Published 2013. Accessed August 2, 2017.Google Scholar
2. McGann, P, Snesrud, E, Maybank, R, et al. Escherichia coli harboring mcr-1 and blaCTX-M on a novel IncF plasmid: first report of mcr-1 in the USA. Antimicrob Agents Chemother 2016;60:44204421.Google Scholar
3. Standardized antimicrobial administration ratio table. Centers for Disease Control and Prevention website. https://www.cdc.gov/nhsn/pdfs/ps-analysis-resources/aur/au-qrg-saartables.pdf. Accessed on August 2, 2017.Google Scholar
4. CMS issues proposed rule that prohibits descrimination RH-AC, and promotes antibiotic stewardship in hospitals. Centers for Medicare and Medicaid website. https://www.cms.gov/Newsroom/MediaReleaseDatabase/Fact-sheets/2016-Fact-sheets-items/2016-06-13.html. Published 2016. Accessed August 2, 2017.Google Scholar
5. Fleming-Dutra, KE, Hersh, AL, Shapiro, DJ, et al. Prevalence of inappropriate antibiotic prescriptions among US ambulatory care visits, 2010–2011. JAMA 2016;315:18641873.Google Scholar
6. Neuzil, KM, Mellen, BG, Wright, PF, Mitchel, EF Jr, Griffin, MR. The effect of influenza on hospitalizations, outpatient visits, and courses of antibiotics in children. N Engl J Med 2000;342:225231.Google Scholar
7. Barnett, AG, Dobson, AJ. Analysing Seasonal Health Data. 1st ed. New York: Springer; 2010.Google Scholar
8. Christensen, AL, Lundbye-Christensen, S, Dethlefsen, C. Poisson regression models outperform the geometrical model in estimating the peak-to-trough ratio of seasonal variation: a simulation study. Comput Methods Programs Biomed 2011;104:333340.Google Scholar
9. Hankey, BF, Ries, LA, Kosary, CL, et al. Partitioning linear trends in age-adjusted rates. Cancer Cause Control 2000;11:3135.Google Scholar
10. Hyndman, R, Athanasopoulos, G. Forecasting: principles and practice. OTexts website. https://www.otexts.org/fpp. Published 2013. Accessed on August 2, 2017.Google Scholar
11. Choosing Wisely, an initative of the American Board of Internal Medicine Foundation. Choosing Wisely website. http://www.choosingwisely.org/. Accessed August 2, 2017.Google Scholar
12. Get Smart programs and observances. Centers for Disease Control and Prevention website. https://www.cdc.gov/getsmart/index.html. Accessed August 2, 2017.Google Scholar
13. Suda, KJ, Hicks, LA, Roberts, RM, Hunkler, RJ, Taylor, TH. Trends and seasonal variation in outpatient antibiotic prescription rates in the United States, 2006 to 2010. Antimicrob Agents Chemother 2014;58:27632766.CrossRefGoogle ScholarPubMed
14. Hawker, JI, Smith, S, Smith, GE, et al. Trends in antibiotic prescribing in primary care for clinical syndromes subject to national recommendations to reduce antibiotic resistance, UK 1995–2011: analysis of a large database of primary care consultations. J Antimicrob Chemother 2014;69:34233430.Google Scholar
15. Lomas, J, Anderson, GM, Domnick-Pierre, K, Vayda, E, Enkin, MW, Hannah, WJ. Do practice guidelines guide practice? The effect of a consensus statement on the practice of physicians. N Engl J Med 1989;321:13061311.Google Scholar
16. Oetgen, ME, Blatz, AM, Matthews, A. Impact of clinical practice guideline on the treatment of pediatric femoral fractures in a pediatric hospital. J Bone Joint Surg Am 2015;97:16411646.Google Scholar
17. Kwon, AJ, Roshal, M, DeSancho, MT. Clinical adherence to thrombophilia screening guidelines at a major tertiary care hospital. J Thromb Haemost 2016;14:982986.CrossRefGoogle Scholar
18. Meeker, D, Knight, TK, Friedberg, MW, et al. Nudging guideline-concordant antibiotic prescribing: a randomized clinical trial. JAMA Intern Med 2014;174:425431.CrossRefGoogle ScholarPubMed
19. 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;315:562570.CrossRefGoogle ScholarPubMed
20. Gerber, JS, Prasad, PA, Fiks, AG, et al. Effect of an outpatient antimicrobial stewardship intervention on broad-spectrum antibiotic prescribing by primary care pediatricians: a randomized trial. JAMA 2013;309:23452352.Google Scholar
21. Sun, L, Klein, EY, Laxminarayan, R. Seasonality and temporal correlation between community antibiotic use and resistance in the United States. Clin Infect Dis 2012;55:687694.Google Scholar
22. Elseviers, MM, Ferech, M, Vander Stichele, RH, Goossens, H, ESAC project group. Antibiotic use in ambulatory care in Europe (ESAC data 1997–2002): trends, regional differences and seasonal fluctuations. Pharmacoepidemiol Drug Saf 2007;16:115123.Google Scholar
23. Achermann, R, Suter, K, Kronenberg, A, et al. Antibiotic use in adult outpatients in Switzerland in relation to regions, seasonality and point of care tests. Clin Microbiol Infect 2011;17:855–661.Google Scholar
24. Patrick, DM, Marra, F, Hutchinson, J, Monnet, DL, Ng, H, Bowie, WR. Per capita antibiotic consumption: How does a North American jurisdiction compare with Europe? Clin Infect Dis 2004;39:1117.Google Scholar
25. Dagan, R, Barkai, G, Givon-Lavi, N, et al. Seasonality of antibiotic-resistant Streptococcus pneumoniae that causes acute otitis media: a clue for an antibiotic-restriction policy? J Infect Dis 2008;197:10941102.Google Scholar
26. Steinman, MA, Gonzales, R, Linder, JA, Landefeld, CS. Changing use of antibiotics in community-based outpatient practice, 1991–1999. Ann Intern Med 2003;138:525533.Google Scholar
27. Steinman, MA, Sauaia, A, Maselli, JH, Houck, PM, Gonzales, R. Office evaluation and treatment of elderly patients with acute bronchitis. J Am Geriatr Soc 2004;52:875879.CrossRefGoogle ScholarPubMed
28. Grijalva, CG, Nuorti, JP, Griffin, MR. Antibiotic prescription rates for acute respiratory tract infections in US ambulatory settings. JAMA 2009;302:758766.Google Scholar
29. Anderson, DJ, Richet, H, Chen, LF, et al. Seasonal variation in Klebsiella pneumoniae bloodstream infection on 4 continents. J Infect Dis 2008;197:752756.Google Scholar
30. Eber, MR, Shardell, M, Schweizer, ML, Laxminarayan, R, Perencevich, EN. Seasonal and temperature-associated increases in gram-negative bacterial bloodstream infections among hospitalized patients. PLoS One 2011;6:e25298.Google Scholar
31. Falagas, ME, Peppas, G, Matthaiou, DK, Karageorgopoulos, DE, Karalis, N, Theocharis, G. Effect of meteorological variables on the incidence of lower urinary tract infections. Eur J Clin Microbiol Infect Dis 2009;28:709712.Google Scholar
32. Cho, Y, Badve, SV, Hawley, CM, et al. Seasonal variation in peritoneal dialysis-associated peritonitis: a multi-centre registry study. Nephrol Dial Transplant 2012;27:20282036.Google Scholar
33. Wang, X, Towers, S, Panchanathan, S, Chowell, G. A population based study of seasonality of skin and soft tissue infections: implications for the spread of CA-MRSA. PLoS One 2013;8:e60872.Google Scholar
34. Durkin, MJ, Dicks, KV, Baker, AW, et al. Postoperative infection in spine surgery: does the month matter? J Neurosurg Spine 2015;23:128134.Google Scholar
35. Durkin, MJ, Dicks, KV, Baker, AW, et al. Seasonal variation of common surgical site infections: Does season matter? Infect Control Hosp Epidemiol 2015;36:10111016.CrossRefGoogle ScholarPubMed
36. Gruskay, J, Smith, J, Kepler, CK, et al. The seasonality of postoperative infection in spine surgery. J Neurosurg Spine 2013;18:5762.CrossRefGoogle ScholarPubMed
37. Gradel, KO, Nielsen, SL, Pedersen, C, et al. Seasonal variation of Escherichia coli, Staphylococcus aureus, and Streptococcus pneumoniae bacteremia according to acquisition and patient characteristics: a population-based study. Infect Control Hosp Epidemiol 2016:18.Google Scholar
38. Lewis, SS, Walker, VJ, Lee, MS, et al. Epidemiology of methicillin-resistant Staphylococcus aureus pneumonia in community hospitals. Infect Control Hosp Epidemiol 2014;35:14521457.Google Scholar
39. Beninca, E, van Boven, M, Hagenaars, T, van der Hoek, W. Space-time analysis of pneumonia hospitalisations in the Netherlands. PLoS One 2017;12:e0180797.CrossRefGoogle ScholarPubMed
40. Dowell, SF, Whitney, CG, Wright, C, Rose, CE Jr, Schuchat, A. Seasonal patterns of invasive pneumococcal disease. Emerg Infect Dis 2003;9:573579.Google Scholar