Evidence map›Paper›PMID 33596946›Full record

ArticleImplementation science : IS2021

Unpacking the intention to action gap: a qualitative study understanding how physicians engage with audit and feedback.

Laura Desveaux, Noah Michael Ivers, Kim Devotta, Noor Ramji, Karen Weyman, Tara Kiran

Registry-linked trialAbstract read
In one paragraph

Article in Implementation science : IS, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05099497 (Big Data and Little Behaviours), which is not on this map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 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.

NCT05099497 nacompletednot on this map

Big Data and Little Behaviours: Feedback and Quality Improvement Supports to Primary Care to Facilitate COVID-19 Vaccine Uptake

TypeinterventionalSponsorWomen's College HospitalRan2021 to 2022Enrolled600ConditionsCovid19 Vaccination, Vaccine UptakeArmsUsing Practice Facilitators to Support Physicians
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Audit and feedback: effects on professional practice.The Cochrane database of systematic reviews · 2025
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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.

Laura DesveauxWomen's College Hospital Institute for Health Systems Solutions and Virtual Care, 76 Grenville Ave Toronto, Toronto, Ontario, Canada. laura.desveaux@wchospital.ca.ORCID 0000-0003-3429-1865
Noah Michael IversWomen's College Hospital Institute for Health Systems Solutions and Virtual Care, 76 Grenville Ave Toronto, Toronto, Ontario, Canada.
Kim DevottaMAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute of St. Michael's Hospital, 30 Bond Street, Toronto, Ontario, Canada.
Noor RamjiDepartment of Family and Community Medicine, University of Toronto, 500 University Avenue, Toronto, Ontario, Canada.
Karen WeymanDepartment of Family and Community Medicine, University of Toronto, 500 University Avenue, Toronto, Ontario, Canada.
Tara KiranInstitute for Health Policy, Management & Evaluation, University of Toronto, 155 College St, Toronto, Ontario, Canada.

Funding

CIHR
6 · The paper itself

Abstract

backgroundAudit and feedback (A&F) often successfully enhances health professionals' intentions to improve quality of care but does not consistently lead to practice changes. Recipients often cite data credibility and limited resources as barriers impeding their ability to act upon A&F, suggesting the intention-to-action gap manifests while recipients are interacting with their data. While attention has been paid to the role feedback and contextual variables play in contributing to (or impeding) success, we lack a nuanced understanding of how healthcare professionals interact with and process clinical performance data.

methodsWe used qualitative, semi-structured interviews guided by Normalization Process Theory (NPT). Questions explored the role of data in quality improvement, experiences with the A&F report, perceptions of the data, and interpretations and reflections. Interviews were audio-recorded and transcribed verbatim. Data were analyzed using a combination of inductive and deductive strategies using reflexive thematic analysis informed by a constructivist paradigm.

resultsHealthcare professional characteristics (individual quality improvement capabilities and beliefs about data) seem to influence engagement with A&F to a greater degree than feedback variables (i.e., delivered by peers) and observed contextual factors (i.e., strong quality improvement culture). Most participants lacked the capabilities to interpret practice-level data in an actionable way despite a motivation to engage meaningfully. Reasons for the intention-to-action gap included challenges interpreting longitudinal data, appreciating the nuances of common data sources, understanding how aggregate data provides insights into individualized care, and identifying practice-level actions to improve quality. These factors limited effective cognitive participation and collective action, as outlined in NPT.

conclusionsA well-designed A&F intervention is necessary but not sufficient to inform practice changes. A&F initiatives must include co-interventions to address recipient characteristics (i.e., beliefs and capabilities) and context to optimize impact. Effective strategies to overcome the intention-to-action gap may include modelling how to use A&F to inform practice change, providing opportunities for social interaction relating to the A&F, and circulating examples of effective actions taken in response to A&F. More broadly, undergraduate medical education and post-graduate training must ensure physicians are equipped with QI capabilities, with an emphasis on the skills required to interpret and act on practice-level data.

Indexed as

IntentionPhysiciansFeedbackHumansQualitative ResearchQuality ImprovementAudit and feedbackImplementationPhysician learningPractice improvementPrimary care

Identifiers

PMID33596946
PMCPMC7891166

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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.