ArticleLearning health systems2026
Equity Dashboards in a Statewide Surgical Quality Collaborative: A Mixed Methods Pre-Implementation Study.
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.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- Equity Dashboards in a Statewide Surgical Quality Collaborative: A Mixed Methods Pre-Implementation Study.Learning health systems · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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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.