Evidence map›Paper›PMID 24188573›Full record

Trial reportBMC health services research2013

One size does not fit all: evaluating an intervention to reduce antibiotic prescribing for acute bronchitis.

Sara L Ackerman, Ralph Gonzales, Melissa S Stahl, Joshua P Metlay

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC health services research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 4 pooled it
–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

33 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  15. Knowledge and Practice of Antibiotic Management and Prudent Prescribing among Polish Medical Doctors.International journal of environmental research and public health · 2022
    Article
  16. Uncertainty as a critical determinant of antibiotic prescribing in patients with an asthma exacerbation: a qualitative study.The Journal of asthma : official journal of the Association for the Care of Asthma · 2022
    Article
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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

4 authors.

Sara L AckermanDepartment of Social and Behavioral Sciences, University of California San Francisco, San Francisco, CA, USA. sara.ackerman@ucsf.edu.
Ralph Gonzales
Melissa S Stahl
Joshua P Metlay

Funding

Neighborhood level determinants of pneumococcal disease transmissionK24AI073957 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI METLAY, JOSHUA P · 2008 to 2012
$1.0M
Development, Implementation and Evaluation of Novel Strategies to Reduce InappropR01CI000611 · CI · UNIVERSITY OF PENNSYLVANIA · PI GONZALES, RALPH, METLAY, JOSHUA P · 2008 to 2010
$997k
NCPDCID CDC HHS R01-CI000611NIAID NIH HHS K24-AI073957
6 · The paper itself

Abstract

backgroundOveruse of antibiotics for upper respiratory tract infections (URIs) and acute bronchitis is a persistent and vexing problem. In the U.S., more than half of all patients with upper respiratory tract infections and acute bronchitis are treated with antibiotics annually, despite the fact that most cases are viral in etiology and are not responsive to antibiotics. Interventions aiming to reduce unnecessary antibiotic prescribing have had mixed results, and successes have been modest. The objective of this evaluation is to use mixed methods to understand why a multi-level intervention to reduce antibiotic prescribing for acute bronchitis among primary care providers resulted in measurable improvement in only one third of participating clinicians.

methodsClinician perspectives on print-based and electronic intervention strategies, and antibiotic prescribing more generally, were elicited through structured telephone surveys at high and low performing sites after the first year of intervention at the Geisinger Health System in Pennsylvania (n = 29).

resultsCompared with a survey on antibiotic use conducted 10 years earlier, clinicians demonstrated greater awareness of antibiotic resistance and how it is impacted by individual prescribing decisions-including their own. However, persistent perceived barriers to reducing prescribing included patient expectations, time pressure, and diagnostic uncertainty, and these factors were reported as differentially undermining specific intervention components' effectiveness. An exam room poster depicting a diagnostic algorithm was the most popular strategy.

conclusionsFuture efforts to reduce antibiotic prescribing should address multi-level barriers identified by clinicians and tailor strategies to differences at individual clinician and group practice levels, focusing in particular on changing how patients and providers make decisions together about antibiotic use.

Indexed as

Acute DiseaseAnti-Bacterial AgentsAttitude of Health PersonnelBronchitisDecision Support TechniquesFemaleHealth Care SurveysHumansInappropriate PrescribingMalePatient Education as TopicPennsylvaniaPractice Patterns, Physicians'Program EvaluationAnti-Bacterial Agents

Identifiers

PMID24188573
PMCPMC4228248

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.