Evidence map›Paper›PMID 33158364›Full record

ArticleThe Journal of asthma : official journal of the Association for the Care of Asthma2022

Uncertainty as a critical determinant of antibiotic prescribing in patients with an asthma exacerbation: a qualitative study.

Mihaela S Stefan, Kerry A Spitzer, Sehar Zulfiqar, Brent D Heineman, Timothy P Hogan, Lauren M Westafer, Michael S Pulia, Victor M Pinto-Plata, Peter K Lindenauer

Open access · greenAbstract read
In one paragraph

Article in The Journal of asthma : official journal of the Association for the Care of Asthma, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

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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

9 authors at 5 institutions in 1 country.

Mihaela S StefanInstitute for Healthcare Delivery and Population Science, University of Massachusetts Medical School - Baystate, Springfield, MA, USA.
Kerry A SpitzerInstitute for Healthcare Delivery and Population Science, University of Massachusetts Medical School - Baystate, Springfield, MA, USA.
Sehar ZulfiqarDepartment of Medicine, University of Massachusetts Medical School - Baystate, Springfield, MA, USA.
Brent D HeinemanInstitute for Healthcare Delivery and Population Science, University of Massachusetts Medical School - Baystate, Springfield, MA, USA.
Timothy P HoganCenter for Healthcare Organization and Implementation Research (CHOIR), Edith Nourse Rogers Memorial Veterans Hospital, US Department of Veterans Affairs, Bedford, MA, USA.
Lauren M WestaferInstitute for Healthcare Delivery and Population Science, University of Massachusetts Medical School - Baystate, Springfield, MA, USA.
Michael S PuliaBerbeeWalsh Department of Emergency Medicine, University of Wisconsin Madison, School of Medicine and Public Health, Madison, WI, USA.
Victor M Pinto-PlataDepartment of Medicine, University of Massachusetts Medical School - Baystate, Springfield, MA, USA.
Peter K LindenauerInstitute for Healthcare Delivery and Population Science, University of Massachusetts Medical School - Baystate, Springfield, MA, USA.
University of Massachusetts Chan Medical School · USBaystate Health · USBaystate Medical Center · USThe University of Texas Southwestern Medical Center · USUniversity of Wisconsin–Madison · US

Funding

Research and Mentoring in Comparative Effectiveness and Implementation ScienceK24HL132008 · NHLBI · BAYSTATE MEDICAL CENTER, INC. · PI LINDENAUER, PETER KYLE · 2016 to 2020
$574k
NHLBI NIH HHS K24 HL132008
6 · The paper itself

Abstract

objectiveTo identify factors that influence providers' decisions to prescribe antibiotics in patients presenting to the hospital with an asthma exacerbation.

methodsWe performed semi-structured interviews with a purposive sample of providers including sixteen hospitalists, emergency room providers, or pulmonologists, and one focus group with internal medicine residents recruited from one large, urban, teaching hospital and one small, rural, community hospital. Questions were informed by the Theoretical Domains Framework to determine factors that may influence behaviors. Directed content analysis was used to code and analyze transcripts of the interviews.

resultsUncertainty regarding the diagnostic (asthma vs. COPD) and the cause of exacerbation (bacterial vs. viral infection) emerged as the main driver for prescribing behavior. Provider response to uncertainty included: "watchful waiting" or immediate antibiotic prescribing. The following factors played important roles in providers' prescribing decision: 1) awareness/agreement with existing guidelines 2) confidence in their ability to apply the guidelines in challenging cases; 3) perceived risk of patient deterioration without antibiotics; 4) fear of litigation; 5) habit and clinical inertia 6) prescribing within the group 7) lack of information of antibiotic prescribing rates and 8) lack of time and/or resources.

conclusionsWe identified diagnostic uncertainty as the primary determinant of antibiotic prescribing in asthma exacerbations and developed a conceptual model to explain provider responses and factors that influenced their responses. These results enhance our understanding of the factors that can contribute to low-value and wasteful practices like superfluous antibiotic prescribing and will support the development of interventions to de-implement such practices.

Indexed as

Anti-Bacterial AgentsAsthmaFocus GroupsHumansPractice Patterns, Physicians'Qualitative ResearchUncertaintyAnti-Bacterial Agentsantibioticsasthmabehaviorde-implementexacerbationguidelinesinterviewsmodelqualitativesemi-structuredUncertainty

Identifiers

PMID33158364
PMCPMC8216244
OpenAlexW3095792703

What OpenQuestion holds

Textmetadata
LicenceTDM
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.