ArticleCEUR workshop proceedings.2022
Performance Summary Display Ontology: Feedback intervention content, delivery, and interpreted information.
Article in CEUR workshop proceedings., 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Scalable Coaching and Appreciation Feedback for Optimal Learning and Decision-Making (SCAFFOLD).Studies in health technology and informatics · 2025Article
- Precision feedback: A conceptual model.Learning health systems · 2024Article
- Exploring Anesthesia Provider Preferences for Precision Feedback: Preference Elicitation Study.JMIR medical education · 2024Article
- Modeling Precision Feedback Knowledge for Healthcare Professional Learning and Quality Improvement.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Feedback loops are vital for decision-making and behavior change in health systems, but not all feedback is of equal value. Clinical performance feedback to healthcare professionals and teams has potential for large effects on clinical practice, but evidence suggests that low-value performance feedback is widespread. A primary barrier to understanding the value of feedback loops in health systems may be a lack of a well-defined model and shared semantics for the information that they carry. An ontology for audit and feedback research may be used to address these issues by standardizing feedback intervention metadata. Research describing feedback interventions recognizes differences between the content of the feedback and its delivery process. However, terms describing feedback intervention content are inconsistent, and appear to vary considerably between audit and feedback frameworks, which can result in confusion around what is being delivered in a performance summary. Our objective was to develop an ontology of a performance summary in a clinical performance feedback intervention for the purposes of standardizing metadata. We developed the Performance Summary Display Ontology (PSDO) iteratively by 1) identifying terms for classes from behavior change theories relating to feedback interventions and cognitive theories of visualization, 2) searching for relevant existing ontologies and classes, and 3) using the terms to specify information content and visual displays in published examples of dashboard displays and feedback reports. PSDO is a lightweight application ontology that specifies performance information content and its representations for the purpose of feedback intervention research and evaluation. PSDO contains 3 primary domains: 1) Performance information content, based on constructs from behavior change theories, 2) Marks and their qualities, based on constructs from visualization theories, and 3) roles that link marks, information content, and other emergent characteristics, as interpreted information. PSDO may enable standardization of metadata for the study of feedback interventions.
Indexed as
Identifiers
39949869PMC11825144What OpenQuestion holds
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.