Evidence map›Paper›PMID 35854991›Full record

ArticleOpen forum infectious diseases2022

Development of an Electronic Algorithm to Target Outpatient Antimicrobial Stewardship Efforts for Acute Bronchitis and Pharyngitis.

Ebbing Lautenbach, Keith W Hamilton, Robert Grundmeier, Melinda M Neuhauser, Lauri A Hicks, Anne Jaskowiak-Barr, Leigh Cressman, Tony James, Jacqueline Omorogbe, Nicole Frager and 5 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06027593 (Using Electronically Derived AutoMated RePOrts of Appropriate Antibiotic Use to Inform SteWardship IntERventions), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 38% of its field
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.

NCT06027593 nacompletednot on this map

Using Electronically Derived AutoMated RePOrts of Appropriate Antibiotic Use to Inform SteWardship IntERventions

TypeinterventionalSponsorChildren's Hospital of PhiladelphiaRan2022 to 2024Enrolled26,139ConditionsCommunity-acquired Pneumonia, Acute Otitis Media, PharyngitisArmsQuasi experimental intervention
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

15 authors at 3 institutions in 1 country.

Ebbing LautenbachDivision of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Keith W HamiltonDivision of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Robert GrundmeierDivision of General Pediatrics, Department of Pediatrics, Children's Hospital of Philadelphia (CHOP), Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-8290-5588
Melinda M NeuhauserOffice of Antibiotic Stewardship, Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA.
Lauri A HicksOffice of Antibiotic Stewardship, Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA.
Anne Jaskowiak-BarrCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Leigh CressmanCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Tony JamesCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Jacqueline OmorogbeCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Nicole FragerDivision of Infectious Diseases, Department of Pediatrics, Children's Hospital of Philadelphia (CHOP), Philadelphia, Pennsylvania, USA.
Muida MenonDivision of Infectious Diseases, Department of Pediatrics, Children's Hospital of Philadelphia (CHOP), Philadelphia, Pennsylvania, USA.
Ellen KratzDivision of Infectious Diseases, Department of Pediatrics, Children's Hospital of Philadelphia (CHOP), Philadelphia, Pennsylvania, USA.
Lauren DutcherDivision of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Kathleen ChiotosCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Jeffrey S GerberCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
University of Pennsylvania · USChildren's Hospital of Philadelphia · USCenters for Disease Control and Prevention · US

Funding

Infectious Diseases Epidemiology Training GrantT32AI055435 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI LAUTENBACH, EBBING · 2003 to 2023
$6.9M
NIAID NIH HHS T32 AI055435
6 · The paper itself

Abstract

Background: A major challenge for antibiotic stewardship programs is the lack of accurate and accessible electronic data to target interventions. We developed and validated separate electronic algorithms to identify inappropriate antibiotic use for adult outpatients with bronchitis and pharyngitis. Methods: We used International Classification of Diseases, 10th Revision, diagnostic codes to identify patient encounters for acute bronchitis and pharyngitis at outpatient practices between 3/15/17 and 3/14/18. Exclusion criteria included immunocompromising conditions, complex chronic conditions, and concurrent infections. We randomly selected 300 eligible subjects each with bronchitis and pharyngitis. Inappropriate antibiotic use based on chart review served as the gold standard for assessment of the electronic algorithm, which was constructed using only data in the electronic data warehouse. Criteria for appropriate prescribing, choice of antibiotic, and duration were based on established guidelines. Results: Of 300 subjects with bronchitis, 167 (55.7%) received an antibiotic inappropriately based on chart review. The electronic algorithm demonstrated 100% sensitivity and 95.3% specificity for detection of inappropriate prescribing. Of 300 subjects with pharyngitis, 94 (31.3%) had an incorrect prescribing decision. Among 29 subjects with a positive rapid streptococcal antigen test, 27 (93.1%) received an appropriate antibiotic and 29 (100%) received the correct duration. The electronic algorithm demonstrated very high sensitivity and specificity for all outcomes. Conclusions: Inappropriate antibiotic prescribing for bronchitis and pharyngitis is common. Electronic algorithms for identifying inappropriate prescribing, antibiotic choice, and duration showed excellent test characteristics. These algorithms could be used to efficiently assess prescribing among practices and individual clinicians. Interventions based on these algorithms should be tested in future work.

Indexed as

algorithmantibioticelectronicstewardship

Identifiers

PMID35854991
PMCPMC9291392
OpenAlexW4281960596

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.