Evidence map›Paper›PMID 41694237›Full record

ArticleLearning health systems2026

Equity Dashboards in a Statewide Surgical Quality Collaborative: A Mixed Methods Pre-Implementation Study.

Erin E Isenberg, Natalie M Guzman, Sarah E Bradley, Michael J Englesbe, Pasithorn A Suwanabol, Calista M Harbaugh

Abstract read
In one paragraph

Article in Learning health systems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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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.

Erin E IsenbergDepartment of Surgery University of Texas at Southwestern Dallas Texas USA.ORCID https://orcid.org/0009-0009-4828-582X
Natalie M GuzmanSchool of Medicine University of Michigan Ann Arbor Michigan USA.
Sarah E BradleyDepartment of Surgery University of Michigan Ann Arbor Michigan USA.
Michael J EnglesbeDepartment of Surgery University of Michigan Ann Arbor Michigan USA.
Pasithorn A SuwanabolDepartment of Surgery University of Michigan Ann Arbor Michigan USA.
Calista M HarbaughDepartment of Surgery University of Michigan Ann Arbor Michigan USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Collaborative quality initiatives have leveraged performance dashboards and cross-institutional learning to improve surgical outcomes. However, these models for quality improvement have yet to integrate tools for improving health disparities. In this mixed-methods pre-implementation project, we assessed the interpretability and utility of health equity dashboards in a statewide quality collaborative. Methods: This mixed methods study was guided by the Theoretical Domains Framework (TDF). Stakeholders from hospitals participating in the Michigan Surgical Quality Collaborative (MSQC) were recruited for a survey ( Results: There were 105 survey respondents. Perceived clarity of the dashboard was high (73/105, 70% agree or strongly agree information is clear and understandable), but misinterpretation was common (46%-49% incorrect interpretation). Focus groups revealed sources of misinterpretation as a lack of familiarity with exposure variables and uncertainty about the meaning of results. Respondents reported a high likelihood of dashboard use (71/104, 74% somewhat or extremely likely to use) and expressed optimism about potential uses and belief in the importance of the work. However, key barriers from participants included limited experience with equity dashboards, concerns about data integrity and representation, and the need for additional tools to enable actionable change. Conclusion: This work identifies key factors that influence the successful implementation of health equity dashboards, providing valuable insights to strengthen infrastructure within learning health systems and advance equity-conscious quality improvement.

Indexed as

dashboardshealth equityquality improvement

Identifiers

PMID41694237
PMCPMC12900617

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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.