Evidence map›Paper›PMID 37034896›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2023

Using the COM-B model to identify barriers to and facilitators of evidence-based nurse urine-culture practices.

Sonali D Advani, Ali Winters, Nicholas A Turner, Becky A Smith, Jessica Seidelman, Kenneth Schmader, Deverick J Anderson, Staci S Reynolds

Abstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
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  5. 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

8 authors.

Sonali D AdvaniDivision of Infectious diseases, Department of Medicine, Duke University School of Medicine, Durham, North Carolina.ORCID https://orcid.org/0000-0001-5162-6482
Ali WintersDuke University School of Nursing, Durham, North Carolina.
Nicholas A TurnerDivision of Infectious diseases, Department of Medicine, Duke University School of Medicine, Durham, North Carolina.ORCID https://orcid.org/0000-0003-0650-4894
Becky A SmithDivision of Infectious diseases, Department of Medicine, Duke University School of Medicine, Durham, North Carolina.
Jessica SeidelmanDivision of Infectious diseases, Department of Medicine, Duke University School of Medicine, Durham, North Carolina.ORCID https://orcid.org/0000-0001-7117-513X
Kenneth SchmaderDivision of Geriatrics, Duke University School of Medicine, Durham, North Carolina.ORCID https://orcid.org/0000-0001-5036-2155
Deverick J AndersonDivision of Infectious diseases, Department of Medicine, Duke University School of Medicine, Durham, North Carolina.ORCID https://orcid.org/0000-0001-6882-5496
Staci S ReynoldsDuke Center for Antimicrobial Stewardship and Infection Prevention, Durham, North Carolina.ORCID https://orcid.org/0000-0002-0366-1328

Funding

Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI Sarah B. Peskoe · 2006 to 2026
$24.6M
Duke KURe ProgramK12DK100024 · NIDDK · DUKE UNIVERSITY · PI Cindy Amundsen · 2013 to 2026
$8.4M
NIA NIH HHS P30 AG028716NIDDK NIH HHS K12 DK100024
6 · The paper itself

Abstract

Our surveys of nurses modeled after the Capability, Opportunity, and Motivation Model of Behavior (COM-B model) revealed that opportunity and motivation factors heavily influence urine-culture practices (behavior), in addition to knowledge (capability). Understanding these barriers is a critical step towards implementing targeted interventions to improving urine-culture practices.

Identifiers

PMID37034896
PMCPMC10073011

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.