Evidence map›Paper›PMID 27067351›Full record

ArticleJournal of general internal medicine2016

What Drives Variation in Antibiotic Prescribing for Acute Respiratory Infections?

Courtney A Gidengil, Ateev Mehrotra, Scott Beach, Claude Setodji, Gerald Hunter, Jeffrey A Linder

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2016. 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.

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  7. Association of a Clinician's Antibiotic-Prescribing Rate With Patients' Future Likelihood of Seeking Care and Receipt of Antibiotics.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
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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

6 authors.

Courtney A GidengilRAND Corporation, Boston, MA, USA. gidengil@rand.org.
Ateev MehrotraRAND Corporation, Boston, MA, USA.
Scott BeachUniversity Center for Social and Urban Research, University of Pittsburgh, Pittsburgh, PA, USA.
Claude SetodjiRAND Corporation, Pittsburgh, PA, USA.
Gerald HunterRAND Corporation, Pittsburgh, PA, USA.
Jeffrey A LinderDivision of General Medicine and Primary Care, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.

Funding

Use of Behavioral Economics to Improve Treatment of Acute Respiratory InfectionsRC4AG039115 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DOCTOR, JASON N. · 2010 to 2010
$11.5M
Demonstration of Near Zero Antibiotic Prescribing for Acute BronchitisR18HS018419 · AHRQ · BRIGHAM AND WOMEN'S HOSPITAL · PI LINDER, JEFFREY A. · 2010 to 2013
$1.2M
Antibiotic Prescribing for Acute Respiratory Infections: Impact of Shifts in CareR21AI097759 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MEHROTRA, ATEEV · 2012 to 2013
$560k
AHRQ HHS R18 HS018419NIAID NIH HHS R21 AI097759NIA NIH HHS RC4 AG039115
6 · The paper itself

Abstract

backgroundAcute respiratory infections are the most common symptomatic reason for seeking care among patients in the US, and account for the majority of all antibiotic prescribing, yet a large fraction of antibiotic prescriptions are inappropriate.

objectiveWe sought to identify the underlying factors driving variation in antibiotic prescribing across clinicians and settings. DESIGN,

participantsUsing electronic health data for adult ambulatory visits for acute respiratory infections to a retail clinic chain and primary care practices from an integrated healthcare system, we identified a random sample of clinicians for survey. MAIN MEASURES: We evaluated independent predictors of overall prescribing and imperfect antibiotic prescribing, controlling for clinician and site of care. We defined imperfect antibiotic prescribing as prescribing for non-antibiotic-appropriate diagnoses, failure to prescribe for an antibiotic-appropriate diagnosis, or prescribing a non-guideline-concordant antibiotic. KEY

resultsResponse rates were 34 % for retail clinics and 24 % for physicians' offices (N = 187). Clinicians in physicians' offices prescribed antibiotics less often than those in retail clinics (53 % versus 67 %; p < 0.01), but had a higher imperfect antibiotic prescribing rate (65 % versus 31 %; p < 0.01). Feeling rushed was associated with higher antibiotic prescribing (OR 1.34; 95 % CI 1.03, 1.75). Antibiotic prescribing was also associated with clinician disagreement that antibiotics are overused (OR 1.60, 95 % CI, 1.16, 2.20). Imperfect antibiotic prescribing was associated with receiving antibiotic prescribing feedback (OR 1.35, 95 % CI 1.04, 1.75) and disagreement that patient demand was a problem (OR 1.66, 95 % CI 1.00, 2.73). Imperfect antibiotic prescribing was less common with clinicians who perceived that they prescribed antibiotics less often than their peers (OR 0.63, 95 % CI 0.46, 0.87).

conclusionsPoor-quality antibiotic prescribing was associated with feeling rushed, believing less strongly that antibiotics were overused, and believing that patient demand was not an issue, factors that can be assessed and addressed in future interventions.

Indexed as

Attitude of Health PersonnelDrug PrescriptionsAcute DiseaseAdolescentAdultAgedAnti-Bacterial AgentsElectronic Health RecordsFemaleHumansMaleMiddle AgedRespiratory Tract InfectionsYoung AdultAnti-Bacterial Agentsacute respiratory infectionsantibioticsoveruseprescribing

Identifiers

PMID27067351
PMCPMC4945551

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.