Evidence map›Paper›PMID 36776774›Full record

ArticleOpen forum infectious diseases2023

Regional Variation in Outpatient Antibiotic Prescribing for Acute Respiratory Tract Infections in a Commercially Insured Population, United States, 2017.

Destani Bizune, Sharon Tsay, Danielle Palms, Laura King, Monina Bartoces, Ruth Link-Gelles, Katherine Fleming-Dutra, Lauri A Hicks

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Appropriateness of ambulatory antibiotic prescribing in South Carolina, 2012-2017.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2025
    Article
  5. Predictors of antibiotic prescription for upper respiratory infections in cancer patients.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2025
    Article
  6. Macro- and micro-influencers of antimicrobial costs…What do stewardship programs need to know?Antimicrobial stewardship & healthcare epidemiology : ASHE · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Implementation of Outpatient Automated Stewardship Information System (OASISAntimicrobial stewardship & healthcare epidemiology : ASHE · 2024
    Article
  11. Next Steps in Ambulatory Stewardship.Infectious disease clinics of North America · 2023
    Review
  12. Article
  13. Ecologic analysis of antimicrobial use in South Carolina hospitals during 2020-2022.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2023
    Article
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Destani BizuneDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Sharon TsayDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Danielle PalmsDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Laura KingDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Monina BartocesDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Ruth Link-GellesDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0002-9617-806X
Katherine Fleming-DutraNational Center for Immunization and Emerging Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0002-4862-0650
Lauri A HicksDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Studies have shown that the Southern United States has higher rates of outpatient antibiotic prescribing rates compared with other regions in the country, but the reasons for this variation are unclear. We aimed to determine whether the regional variability in outpatient antibiotic prescribing for respiratory diagnoses can be explained by differences in prescriber clinical factors found in a commercially insured population. Methods: We analyzed the 2017 IBM MarketScan Commercial Database of commercially insured individuals aged <65 years. We included visits with acute respiratory tract infection (ARTI) diagnoses from retail clinics, urgent care centers, emergency departments, and physician offices. ARTI diagnoses were categorized based on antibiotic indication. We calculated risk ratios and 95% CIs stratified by ARTI tier and region using log-binomial models controlling for patient age, comorbidities, care setting, prescriber type, and diagnosis. Results: Of the 14.9 million ARTI visits, 40% received an antibiotic. The South had the highest proportion of visits with an antibiotic prescription (43%), and the West the lowest (34%). ARTI visits in the South are 34% more likely receive an antibiotic for rarely antibiotic-appropriate ARTI visits when compared with the West in multivariable modeling (relative risk, 1.34; 95% CI, 1.33-1.34). Conclusions: It is likely that higher antibiotic prescribing in the South is in part due to nonclinical factors such as regional differences in clinicians' prescribing habits and patient expectations. There is a need for future studies to define and characterize these factors to better inform regional and local stewardship interventions and achieve greater health equity in antibiotic prescribing.

Indexed as

antibioticantibiotic stewardshipoutpatientregional variationrespiratory tract infection

Identifiers

PMID36776774
PMCPMC9905267

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.