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Appropriateness of ambulatory antibiotic prescribing in South Carolina, 2012–2017

Published online by Cambridge University Press:  27 January 2025

Pamela Bailey*
Affiliation:
University of South Carolina School of Medicine, Columbia, SC, USA Department of Internal Medicine, Division of Infectious Diseases, Prisma Health Midlands, Columbia, SC, USA
Majdi N Al-Hasan
Affiliation:
University of South Carolina School of Medicine, Columbia, SC, USA Department of Internal Medicine, Division of Infectious Diseases, Prisma Health Midlands, Columbia, SC, USA
Julie Royer
Affiliation:
South Carolina Revenue and Fiscal Affairs Office, Columbia, SC, USA
Max Habicht
Affiliation:
South Carolina Department of Health and Environmental Control; Columbia, SC, USA
Julie Ann Justo
Affiliation:
University of South Carolina College of Pharmacy; Columbia, SC, USA Department of Pharmacy, Prisma Health Midlands, Columbia, SC, USA
P. Brandon Bookstaver
Affiliation:
University of South Carolina College of Pharmacy; Columbia, SC, USA Department of Pharmacy, Prisma Health Midlands, Columbia, SC, USA
Sharon Weissman
Affiliation:
University of South Carolina School of Medicine, Columbia, SC, USA Department of Internal Medicine, Division of Infectious Diseases, Prisma Health Midlands, Columbia, SC, USA
Hana R Winders
Affiliation:
University of South Carolina College of Pharmacy; Columbia, SC, USA Department of Pharmacy, Prisma Health Midlands, Columbia, SC, USA
*
Corresponding author: Pamela Bailey; Email: [email protected]

Abstract

This population-based cohort study examines the appropriateness of antibiotic prescribing in South Carolina via aggregated pharmacy claims data matched with diagnosis codes from medical claims. Inappropriate antibiotic prescribing decreased from 30.2% in 2012 to 22.6% in 2017 (P < 0.001) and was more common in adults >40 years old.

Type
Concise Communication
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

Introduction

Approximately 90% of antimicrobials are prescribed in the ambulatory setting, and in 2010-2011, per 1000 US population, 353 of 506 antibiotic prescriptions were considered inappropriate. Reference Duffy, Ritchie, Metcalfe, Van Bakel and Thomas1,Reference Fleming-Dutra, Hersh, Shapiro, Bartoces, Enns and File2 Acute upper respiratory tract infections (ARTI) are the most common offenders: sinusitis was the single diagnosis associated with the most antibiotic prescriptions per 1000 population, followed by suppurative otitis media and pharyngitis. Reference Fleming-Dutra, Hersh, Shapiro, Bartoces, Enns and File2 These ARTI led to 221 antibiotic prescriptions annually per 1000 population in the United States, but only 111 per 1000 population were estimated to be appropriate for these conditions. Reference Fleming-Dutra, Hersh, Shapiro, Bartoces, Enns and File2

Prior work in South Carolina has examined temporal trends in ambulatory antibiotic prescription fill rates with examination of the influence of age, gender, and location. Reference Winders, Royer, Younas, Justo, Bookstaver and Weissman3 This population-based cohort study examines the appropriateness of antibiotic prescribing in South Carolina from 2012 through 2017, with particular focus on age and gender.

Methods

Through the South Carolina Revenue and Fiscals Affairs office, aggregated Medicaid and State Employee Health Plan pharmacy claims for ambulatory oral antibiotics were used to estimate community antibiotic prescription fill amounts, matched via national provider identifier (NPI) with International Classification of Diseases (ICD) diagnosis codes, either 9th or 10th revision from medical claims within 14 days of the pharmacy claim for individuals aged ≤64 years from January 1, 2012, to December 31, 2017 [Figure 1, supplement]. The ≥ 65-year-old cohort was excluded as not captured at high frequency in this dataset; regardless, these data represent nearly 30% of the South Carolina population. Data were then filtered to the ambulatory setting and patients from whom relevant demographic and diagnosis variables could be extrapolated. Appropriateness of antibiotics was defined as “maybe indicated” or “not indicated” based on ICD codes based on classification used in prior reports. 4 All diagnoses codes from the matched visit were screened, and if diagnoses included both a “maybe indicated” and “not indicated,” the prescription was coded as “maybe indicated.” Chi-square or student t-tests were used as appropriate to examine overall temporal trend in appropriateness and the trends across age group and gender.

Figure 1. Methodology for creating dataset.

Results

Overall, 6,286,041 antibiotic prescriptions were matched through medical and pharmacy claims data and national provider identifiers (NPI) linkage (89.8% of pharmacy claims connected to medical claim). When filtering to ambulatory setting and patients for whom data extrapolation was possible, 3,383,688 prescriptions were included in the analysis.

Overall, 26.8% of antibiotic prescriptions filled during the 6-year period were “not indicated” [Table 1]. This decreased from 2012 to 2017 from 30.2% to 22.6%, (P < 0.001). Each individual year also showed improved trend (Table 1).

Table 1. Demographic data and results

All p values <0.0001

The most common “maybe indicated” conditions were suppurative otitis media (n = 899663, 35.3%), sinusitis (n = 745585, 29.2%), and acute bacterial tonsillitis (n = 318798, 12.5%). The most common “not indicated” conditions were viral upper respiratory infections (n = 365483, 35.4%), bronchitis (n = 249810, 24.2%), and serous otitis media (n = 122145, 11.8%).

While females filled more antibiotic prescriptions (1,990,559 vs 1,393,129, P < 0.0001), they were slightly more likely than males to have a “not indicated” condition (27.1% vs 26.5%, P < 0.0001) (Table 1). Prescribing for “not indicated” conditions was significantly (P < 0.001) more likely in adults aged 40–64 (36.8%) than those aged 18–39 (23.8%), and <18 (23.8%) (Table 1).

Discussion

The observed decline in inappropriate ambulatory antibiotic prescribing from 2012 to 2017 is welcome, though further stewardship efforts are needed particularly in males and adults ≥40 years old. The most common diagnoses for both “not indicated” and “maybe indicated” antibiotic prescriptions were ARTI.

A 2015 meta-analysis showed that women in the 16–54 age group receive significantly higher number of prescriptions of cephalosporins and macrolides in primary care than men do, presumed by the authors to be related to the higher prescriptions in respiratory tract infections as the fluoroquinolones prescribed for primarily urinary tract infections remained balanced between the genders. Reference Schröder, Sommer, Gladstone, Foschi, Hellman and Evengard5 Women have more acute visits for respiratory infection than men, despite men having more risk factors for chronic respiratory conditions related to social behaviors (e.g. smokers, illicit drug user, regular and heavy alcohol use) which put them at risk for acute infections. Reference Barlam, Morgan, Wetzler, Christiansen and Drainoni6,Reference Pinkhasov, Wong, Kashanian, Lee, Samadi and Pinkhasov7 While women received more antibiotic prescriptions in our data (3:2 ratio), there was more appropriate antibiotic prescribing for diagnoses in males; this should be further researched with considerations for the differences in health-seeking behaviors and comorbid conditions.

In the 2010 US Census data, 33.7% of the population of South Carolina resided in a rural area. 8 Rural areas may be a particularly difficult area for antimicrobial stewardship. Rural visits, particularly in the southern United States, are a significant contributor to inappropriate antimicrobial prescriptions. Reference Winders, Royer, Younas, Justo, Bookstaver and Weissman3 In a 2019 survey, 10% of providers in rural areas had not heard of antimicrobial stewardship but were generally (84.3%) interested in learning more and acknowledged that antibiotics are overprescribed and inappropriate use leads to resistance. Reference Kufel, Mastro, Mogle, Williams, Jester and Snyder9 Providers who saw ≥50 patients a week felt more pressured to prescribe antibiotics, as well as if the visit were ≤20 minutes. Only 42.9% of prescribers selected that 90-98% rhinosinusitis are viral, with only 5.7% recommending supportive care without antibiotics; viral sinusitis was one of the most common “not indicated” diagnoses in this analysis. Reference Kufel, Mastro, Mogle, Williams, Jester and Snyder9

Behavioral and unmeasured factors, such as patient, prescriber, health care system, health care payer, and local/state policies, may impact prescribing rates. Additional factors such as the setting (e.g., urgent care or emergency department) or patient/provider relationship also likely play a significant role in prescribing patterns. Reference Bizune, Tsay, Palms, King, Bartoces and Link-Gelles10 In an analysis of patient, physician, and practice characteristics, it was noted that family medicine providers, female gender, and self-report race/ethnicity of white or Hispanic were significantly associated with inappropriate antibiotic prescribing around ARTI. Reference Barlam, Morgan, Wetzler, Christiansen and Drainoni6 They also noted that a group with low prescribers was likely to have overall low prescribers, whereas groups with high prescribers were 1.3 times more likely to have a second high prescriber. Reference Barlam, Morgan, Wetzler, Christiansen and Drainoni6 In a study where patient characteristics were similar, it is the providers who had significant variability in prescribing. Reference Shi, Barnett, Jena, Ray, Fox and Mehrotra11 Patients who saw high prescribers received 3.0 more fills per 100 people or 14.6% more fills over the subsequent year, compared with those seen by low prescribers. Reference Shi, Barnett, Jena, Ray, Fox and Mehrotra11 The patients with prior fills were also more likely to have repeat upper respiratory tract visits in the subsequent year, with a relative increase in prescribing across quartiles at these subsequent visits at 2.8%. Reference Shi, Barnett, Jena, Ray, Fox and Mehrotra11 Diagnoses were also different in high prescribers compared to low prescribers; the high prescribers tended to use diagnoses where antibiotics may be indicated compared to low prescribers using more viral conditions where antibiotics are not indicated. Reference Shi, Barnett, Jena, Ray, Fox and Mehrotra11,Reference Martinez, Rood and Rothberg12

This study has several limitations. Extrapolating from coding and claims data is limited in assessing accuracy of the data, and the provider may have coded the diagnoses inaccurately. Reference Martinez, Rood and Rothberg12 Additionally, prescribers may have intentionally coded inaccurately to avoid scrutiny of inappropriate prescribing. There may be limited ability to generalize these data to other states or geographic regions. The ≥ 65-year-old cohort was excluded from analysis due to inability to capture them in this data set (only 1.0% initial data), which limits generalizability into that population. There was also ongoing national and international work to increase awareness of antimicrobial stewardship during the period of this study, which may confound results. Ecologic fallacy is also a concern in using administrative data such as this.

While the reduction in inappropriate antibiotic prescribing is encouraging, there is still significant work to achieve the goals of antimicrobial stewardship in the ambulatory setting.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/ash.2024.500

Acknowledgments

The authors thank advisory board members of the Antimicrobial Stewardship Collaborative of South Carolina for facilitating the conduct of this study. This study was approved by the South Carolina Department of Health and Environmental Control (DHEC; now South Carolina Department of Public Health [SC DPH]). The findings of this report are those of the authors and do not necessarily represent the official position of the SC DPH, South Carolina Revenue and Fiscal Affairs Office, South Carolina Department of Health and Human Services, or the South Carolina Public Employee Benefit Authority.

Financial support

This work was supported by a federal grant (Epidemiology and Laboratory Capacity Project K2) from the Centers for Disease Control and Prevention awarded to the South Carolina DHEC. The Antimicrobial Stewardship Collaborative of South Carolina is currently funded by the University of South Carolina’s Center for Rural and Primary Healthcare as well as SC DPH.

Competing interests

No authors have identified any relevant conflicts of interest.

Footnotes

*

JAJ work performed while at University of South Carolina College of Pharmacy and Prisma Health Midlands. Her current affiliation is Dartmouth Hitchcock Medical Center; Bennington, VT

References

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Figure 1. Methodology for creating dataset.

Figure 1

Table 1. Demographic data and results

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