Evidence map›Paper›PMID 37943586›Full record

ArticleJMIR human factors2023

Developing an Audit and Feedback Dashboard for Family Physicians: User-Centered Design Process.

Jennifer Shuldiner, Tara Kiran, Payal Agarwal, Maryam Daneshvarfard, Kirsten Eldridge, Susie Kim, Michelle Greiver, Iffat Jokhio, Noah Ivers

Abstract read
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Article in JMIR human factors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

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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.

Jennifer ShuldinerWomen's College Hospital, Toronto, ON, Canada.ORCID 0000-0003-2240-6274
Tara KiranDepartment of Family and Community Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-2520-112X
Payal AgarwalWomen's College Hospital, Toronto, ON, Canada.ORCID 0000-0001-5625-7532
Maryam DaneshvarfardMAP Centre for Urban Health Solutions, St Michael's Hospital, Toronto, ON, Canada.ORCID 0000-0003-2483-1274
Kirsten EldridgeDepartment of Family and Community Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0009-0001-5187-9604
Susie KimDepartment of Family and Community Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0009-0005-4565-4184
Michelle GreiverNorth York General Hospital Office of Research and Innovation, Toronto, ON, Canada.ORCID 0000-0001-8957-0285
Iffat JokhioPivot Design Group, Toronto, ON, Canada.ORCID 0000-0003-0780-9374
Noah IversWomen's College Hospital, Toronto, ON, Canada.ORCID 0000-0003-2500-2435

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAudit and feedback (A&F), the summary and provision of clinical performance data, is a common quality improvement strategy. Successful design and implementation of A&F-or any quality improvement strategy-should incorporate evidence-informed best practices as well as context-specific end user input.

objectiveWe used A&F theory and user-centered design to inform the development of a web-based primary care A&F dashboard. We describe the design process and how it influenced the design of the dashboard.

methodsOur design process included 3 phases: prototype development based on A&F theory and input from clinical improvement leaders; workshop with family physician quality improvement leaders to develop personas (ie, fictional users that represent an archetype character representative of our key users) and application of those personas to design decisions; and user-centered interviews with family physicians to learn about the physician's reactions to the revised dashboard.

resultsThe team applied A&F best practices to the dashboard prototype. Personas were used to identify target groups with challenges and behaviors as a tool for informed design decision-making. Our workshop produced 3 user personas, Dr Skeptic, Frazzled Physician, and Eager Implementer, representing common users based on the team's experience of A&F. Interviews were conducted to further validate findings from the persona workshop and found that (1) physicians were interested in how they compare with peers; however, if performance was above average, they were not motivated to improve even if gaps compared to other standards in their care remained; (2) burnout levels were high as physicians are trying to catch up on missed care during the pandemic and are therefore less motivated to act on the data; and (3) additional desired features included integration within the electronic medical record, and more up-to-date and accurate data.

conclusionsWe found that carefully incorporating data from user interviews helped operationalize generic best practices for A&F to achieve an acceptable dashboard that could meet the needs and goals of physicians. We demonstrate such a design process in this paper. A&F dashboards should address physicians' data skepticism, present data in a way that spurs action, and support physicians to have the time and capacity to engage in quality improvement work; the steps we followed may help those responsible for quality improvement strategy implementation achieve these aims.

Indexed as

Physicians, FamilyUser-Centered DesignBurnout, PsychologicalFeedbackHumansLearningauditaudit and feedbackcareclinical performancedashboarddesigndevelopmentfamily physicianfeedbackimplementationprimary careuser-centeredusers

Identifiers

PMID37943586
PMCPMC10667970

What OpenQuestion holds

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LicenceCC BY
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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.