Evidence map›Paper›PMID 40567394›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2025

Assessing hospital antibiotic stewardship program (ASP) implementation: validation of an implementation science-informed survey.

Jorie Michaela Butler, Ellen Childs, Tamar Barlam, Mari-Lynn Drainoni, Caitlin Reardon, Yue Zhang, Laura Damschroder, Peter Taber, Karl Madaras-Kelly, Matthew Goetz and 6 more

Abstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Jorie Michaela ButlerDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA.ORCID https://orcid.org/0000-0003-4519-7997
Ellen ChildsAbt Associations, Rockville, MD, USA.
Tamar BarlamBoston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Mari-Lynn DrainoniBoston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.ORCID https://orcid.org/0000-0001-7214-8037
Caitlin ReardonVA Ann Arbor Healthcare System, Ann Arbor, MI, USA.ORCID https://orcid.org/0000-0002-9547-7981
Yue ZhangIDEAS Center of Innovation, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
Laura DamschroderVA Ann Arbor Healthcare System, Ann Arbor, MI, USA.
Peter TaberDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Karl Madaras-KellyIdaho State University, Meridian, ID, USA.ORCID https://orcid.org/0000-0001-9933-4120
Matthew GoetzVA Greater Los Angeles Healthcare System, Los Angeles, CA and David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.ORCID https://orcid.org/0000-0003-4542-992X
Shana BurrowesAbt Associations, Rockville, MD, USA.ORCID https://orcid.org/0000-0001-6857-6207
Eddie StenehjemVA Greater Los Angeles Healthcare System, Los Angeles, CA and David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Jincheng ShenDivision of Epidemiology, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA.ORCID https://orcid.org/0000-0002-6551-3558
Chong ZhangDivision of Epidemiology, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA.ORCID https://orcid.org/0000-0002-5014-4331
Angela PressonDivision of Epidemiology, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA.ORCID https://orcid.org/0000-0001-7400-3923
Matthew Howard SamoreIDEAS Center of Innovation, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.

Funding

CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
NCATS NIH HHS UM1 TR004409
6 · The paper itself

Abstract

Objective: Antibiotic stewardship programs (ASPs) are crucial to prevent the emergence of antibiotic resistance and to improve outcomes for patients. A validated instrument rooted in a theoretically derived implementation science framework will increase our understanding of ASP implementation and enable comparisons across implementation sites. Design: Methods: Antibiotic stewards (infectious disease pharmacists and physicians) were recruited from Veterans Affairs (VA) hospitals to complete a survey on stewardship implementation. We used the Consolidated Framework for Implementation Research (CFIR) to guide development of an ASP implementation survey assessing 22 potential determinants of implementation across five domains of CFIR. We conducted confirmatory factor analyses (CFA) to assess construct validity of 8 construct measures and evaluated internal consistency. Results: A total of 150 stewards completed the survey from 110 VA hospitals. CFA for most CFIR constructs exhibited good fit. Internal consistency for CFIR construct subscales (Cronbach's alpha) ranged from 0.54-0.96, indicating modest to strong internal consistency. Determinants that were rated highly present at the sites (across site means ≥ 4.0 or above) included Self-Efficacy, Engaging, Evidence Strength and Quality and Relative Advantage, indicating stewards found ASP evidence compelling and felt their personal involvement was effective in engendering positive results for the ASP. Conclusions: Psychometric properties indicate validity of the first CFIR-based survey of determinants for ASP implementation outcomes. Clinical, quality improvement, and research teams can use this survey to identify contextual determinants of ASP implementation and use this information to guide selection of strategies and compare results across multiple sites.

Identifiers

PMID40567394
PMCPMC12188278

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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.