Evidence map›Paper›PMID 25603806›Full record

ArticleImplementation science : IS2015

Computer-supported feedback message tailoring: theory-informed adaptation of clinical audit and feedback for learning and behavior change.

Zach Landis-Lewis, Jamie C Brehaut, Harry Hochheiser, Gerald P Douglas, Rebecca S Jacobson

Registry-linked trialAbstract read
In one paragraph

Article in Implementation science : IS, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04356274 (Participatory System Dynamics vs Audit and Feedback), which is not on this map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 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.

NCT04356274 naenrolling by invitationnot on this mapstarted 2019, after this paper: background citation

Participatory System Dynamics vs Audit and Feedback: A Cluster Randomized Trial of Mechanisms of Implementation Change to Expand Reach of Evidence-based Addiction and Mental Health Care

TypeinterventionalSponsorPalo Alto Veterans Institute for ResearchRan2019 to 2027Enrolled720ConditionsPTSD, Depression, Alcohol Use Disorder, Opioid Use DisorderArmsParticipatory System Dynamics (PSD), Audit and Feedback (AF)
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Precision feedback: A conceptual model.Learning health systems · 2024
    Article
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  14. Review
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  16. Feedback preferences of patients, professionals and health insurers in integrated head and neck cancer care.Health expectations : an international journal of public participation in health care and health policy · 2017
    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

5 authors.

Zach Landis-LewisCenter for Health Informatics for the Underserved, Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. zjl1@pitt.edu.
Jamie C BrehautOttawa Hospital Research Institute, Clinical Epidemiology Program, The Ottawa Hospital, Ottawa, ON, Canada. jbrehaut@ohri.ca.
Harry HochheiserCenter for Health Informatics for the Underserved, Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. harryh@pitt.edu.
Gerald P DouglasCenter for Health Informatics for the Underserved, Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. gdouglas@pitt.edu.
Rebecca S JacobsonCenter for Health Informatics for the Underserved, Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. CROWLEYRS@upmc.edu.

Funding

The internship in Biomedical Research, Informatics, and Computer Science (iBRIC): Biomedical Informatics and Data Science research experiences for students from Minority Serving InstitutionsT15LM007059 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HARRY S HOCHHEISER · 1987 to 2026
$23.9M
Implementation of Automated Guideline Adherence Feedback in MalawiR03TW009217 · FIC · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DOUGLAS, GERALD P, JACOBSON, REBECCA S · 2012 to 2013
$146k
FIC NIH HHS 1R03TW009217-01A1FIC NIH HHS R03 TW009217NLM NIH HHS 5T15LM007059-22NLM NIH HHS T15 LM007059
6 · The paper itself

Abstract

backgroundEvidence shows that clinical audit and feedback can significantly improve compliance with desired practice, but it is unclear when and how it is effective. Audit and feedback is likely to be more effective when feedback messages can influence barriers to behavior change, but barriers to change differ across individual health-care providers, stemming from differences in providers' individual characteristics. DISCUSSION: The purpose of this article is to invite debate and direct research attention towards a novel audit and feedback component that could enable interventions to adapt to barriers to behavior change for individual health-care providers: computer-supported tailoring of feedback messages. We argue that, by leveraging available clinical data, theory-informed knowledge about behavior change, and the knowledge of clinical supervisors or peers who deliver feedback messages, a software application that supports feedback message tailoring could improve feedback message relevance for barriers to behavior change, thereby increasing the effectiveness of audit and feedback interventions. We describe a prototype system that supports the provision of tailored feedback messages by generating a menu of graphical and textual messages with associated descriptions of targeted barriers to behavior change. Supervisors could use the menu to select messages based on their awareness of each feedback recipient's specific barriers to behavior change. We anticipate that such a system, if designed appropriately, could guide supervisors towards giving more effective feedback for health-care providers. A foundation of evidence and knowledge in related health research domains supports the development of feedback message tailoring systems for clinical audit and feedback. Creating and evaluating computer-supported feedback tailoring tools is a promising approach to improving the effectiveness of clinical audit and feedback.

Indexed as

Clinical CompetenceFeedbackComputer-Assisted InstructionHumansMedical AuditPhysiciansQuality Improvement

Identifiers

PMID25603806
PMCPMC4320482

What OpenQuestion holds

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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.