Evidence map›Paper›PMID 37498818›Full record

ArticlePloS one2023

Prevalence and appropriateness of in-person versus not-in-person ambulatory antibiotic prescribing in an integrated academic health system: A cohort study.

Tiffany Brown, Ji Young Lee, Adriana Guzman, Michael A Fischer, Mark W Friedberg, Kao-Ping Chua, Jeffrey A Linder

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 29% 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.

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, 3 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 4 institutions in 1 country.

Tiffany BrownDivision of General Internal Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America.
Ji Young LeeDivision of General Internal Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America.
Adriana GuzmanDivision of General Internal Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America.
Michael A FischerDepartment of Medicine, Section of General Internal Medicine, Boston Medical Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States of America.
Mark W FriedbergBlue Cross Blue Shield of Massachusetts, Boston, MA, United States of America.
Kao-Ping ChuaSusan B. Meister Child Health and Evaluation Research Center, Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI, United States of America.
Jeffrey A LinderDivision of General Internal Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America.ORCID 0000-0003-2217-184X
Northwestern University · USBoston University · USBrigham and Women's Hospital · USUniversity of Michigan · US

Funding

Using Default Opioid Prescription Settings to Limit Excessive Opioid Prescribing to Adolescents and Young AdultsK08DA048110 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHUA, KAO-PING · 2019 to 2023
$983k
NIDA NIH HHS K08 DA048110
6 · The paper itself

Abstract

objectivesAmbulatory antibiotic stewardship generally aims to address the appropriateness of antibiotics prescribed at in-person visits. The prevalence and appropriateness of antibiotics prescribed outside of in-person visits is poorly studied. DESIGN AND

settingRetrospective cohort study of all ambulatory antibiotic prescribing in an integrated health delivery system in the United States.

participantsAntibiotic prescribers and patients receiving oral antibiotic prescriptions between January 2016 and December 2019.

main outcome measuresProportion of antibiotics prescribed with in-person visits or not-in-person encounters (e.g., telephone, refills). Proportion of prescriptions in in 5 mutually exclusive appropriateness groups: 1) chronic antibiotic use; 2) antibiotic-appropriate; 3) potentially antibiotic-appropriate; 4) non-antibiotic-appropriate; and 5) not associated with a diagnosis.

resultsOver the 4-year study period, there were 714,057 antibiotic prescriptions ordered for 348,739 unique patients by 2,391 clinicians in 467 clinics. Patients had a mean age of 41 years old, were 61% female, and 78% White. Clinicians were 58% women; 78% physicians; and were 42% primary care, 39% medical specialists, and 12% surgical specialists. Overall, 81% of antibiotics were prescribed with in-person visits and 19% without in-person visits. The most common not-in-person encounter types were telephone (10%), orders only (5%), and refill encounters (3%). Of all antibiotic prescriptions, 16% were for chronic use, 15% were antibiotic-appropriate, 39% were potentially antibiotic-appropriate, 22% were non-antibiotic-appropriate, and 8% were not associated with a diagnosis. Antibiotics prescribed in not-in-person encounters were more likely to be chronic (20% versus 15%); less likely to be associated with appropriate or potentially appropriate diagnoses (30% versus 59%) or non-antibiotic-appropriate diagnoses (8% versus 25%); and more likely to be associated with no diagnosis (42% versus <1%).

conclusionsAmbulatory stewardship interventions that focus only on in-person visits may miss a large proportion of antibiotic prescribing, inappropriate prescribing, and antibiotics prescribed in the absence of any diagnosis.

Indexed as

Anti-Bacterial AgentsRespiratory Tract InfectionsAdultCohort StudiesDrug PrescriptionsFemaleHumansInappropriate PrescribingMalePractice Patterns, Physicians'PrevalenceRetrospective StudiesUnited StatesAnti-Bacterial Agents

Identifiers

PMID37498818
PMCPMC10374053
OpenAlexW4385300905

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.