Evidence map›Paper›PMID 39450095›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2024

Adaptation and validation of an antibiotic prescribing, peer comparison metric for respiratory tract diagnoses in walk-in clinics: a mixed-methods analysis.

Sadie Solomon, Stacey Hockett Sherlock, Gosia Clore, Kimberly C Dukes, Dilek Ince, Kelly M Percival, Amy M J O'Shea, Nathan Shaw, Eli N Perencevich, Daniel J Livorsi

Erratum issuedAbstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Sadie SolomonDepartment of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, USA.ORCID https://orcid.org/0000-0001-8358-9225
Stacey Hockett SherlockDepartment of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, USA.ORCID https://orcid.org/0000-0003-3180-782X
Gosia CloreDepartment of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, USA.ORCID https://orcid.org/0000-0003-0848-3337
Kimberly C DukesDepartment of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, USA.ORCID https://orcid.org/0000-0001-6977-4221
Dilek InceDepartment of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, USA.ORCID https://orcid.org/0000-0001-5446-3789
Kelly M PercivalDepartment of Pharmaceutical Care, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.ORCID https://orcid.org/0000-0003-3272-7952
Amy M J O'SheaDepartment of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, USA.
Nathan ShawDepartment of Family Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, USA.ORCID https://orcid.org/0000-0003-2837-420X
Eli N PerencevichDepartment of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, USA.ORCID https://orcid.org/0000-0002-3721-3355
Daniel J LivorsiDepartment of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, USA.ORCID https://orcid.org/0000-0001-8523-214X

Funding

NCEZID CDC HHS U54 CK000613
6 · The paper itself

Abstract

Objective: Antibiotic overuse is common across walk-in clinics, but it is unclear which stewardship metrics are most effective for audit and feedback. In this study, we assessed the validity of a metric that captures antibiotic prescribing for respiratory tract diagnoses (RTDs). Design: We performed a mixed-methods study to evaluate an RTD metric, which quantified the frequency at which a provider prescribed antibiotics for RTD visits after excluding visits with complicating factors. Setting: Seven walk-in clinics across an integrated healthcare system. Participants: We included clinic visits during 2018-2022. We also conducted 17 semi-structured interviews with 10 unique providers to assess metric acceptability. Results: There were 331,496 visits; 120,937 (36.5%) met RTD criteria and 44,382 (36.7%) of these received an antibiotic. Factors associated with an increased odds of antibiotic use for RTDs included patient age ≥ 65 (OR = 1.40; 95% CI 1.30-1.51), age 0-17 (1.55, 95% CI 1.50-1.60), and ≥1 comorbidity (OR = 1.22; 95% CI = 1.15-1.29). After stratifying providers by their antibiotic-prescribing frequency for RTDs, patient case-mix was similar across tertiles. However, the highest tertile of prescribers more frequently coded suppurative otitis media and more frequently prescribed antibiotics for antibiotic-nonresponsive conditions (eg, viral infections). There was no correlation between antibiotic prescribing for RTDs and the frequency of return visits (r = 0.01, Conclusion: A provider-level metric that quantifies the frequency of antibiotic prescribing for all RTDs has both construct and face validity. Future studies should assess whether this type of metric is an effective feedback tool.

Identifiers

PMID39450095
PMCPMC11500272

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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.