ArticleErgonomics2026
(Con)Figuring out influence: a modified Delphi approach to configural diagramming to identify influential work system factors on emergency department disposition decision-making.
Article in Ergonomics, 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.
- A work systems approach to characterizing emergency department disposition decision-making under low and high demand.Applied ergonomics · 2026Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The emergency department (ED) is characterised by varied demands. Yet, processes like ED disposition decision-making have been previously conceptualised as occurring similarly regardless of demand. The goal of this study was to develop a reproducible methodological approach to operationalising configuration by identifying the factors that most strongly shape the ED disposition decision-making process under conditions of low and high demand. Using a modified Delphi approach consisting of surveys sent to ED clinicians, we identified the influence of 32 work system elements on the disposition decision-making process under varied demands. Fifty-nine percent of elements were given similar ratings under low and high demand. Variations in ratings represent meaningful differences in the ED work system structure. Understanding how the influence of ED work system elements varies across the demand continuum can support the translation of descriptive findings into prescriptive insights that can inform and prioritise future research or system design.
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Registered trials
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