ArticlePerspectives on medical education2023
What Stops Fairness from Emerging in Assessment? The Forces on a Complex Adaptive System.
Article in Perspectives on medical education, 2023. 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
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.
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, 7 citations in OpenAlex.
- Clarifying and expanding equity in assessment by considering three orientations: Fairness, inclusion and justice.Medical education · 2025Review
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 at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Workplace-based assessment occurs in authentic, dynamic clinical environments where reproducible, measurement-based assessments can often not be implemented. In these environments, research approaches that respect these multiple dynamic interactions, such as complexity perspectives, are encouraged. Previous research has shown that fairness in assessment is a nonlinear phenomenon that emerges from interactions between its components and behaves like a complex adaptative system. The aim of this study was to understand the external forces on the complex adaptive system which may disrupt fairness from emerging. Methods: We conducted online focus groups with a purposeful sample of nineteen academic leaders in the Netherlands. We used an iterative approach to collection, analysis and coding of the data and interpreted the results using a lens of complexity, focusing on how individual elements of fairness work in concert to create systems with complex behaviour. Results: We identified three themes of forces which can disrupt fairness: forces impairing interactivity, forces impairing adaption and forces impairing embeddedness. Within each of these themes, we identified subthemes: assessor and student forces, tool forces and system forces. Discussion: Consistent with complexity theory, this study suggests there are multiple forces which can hamper the emergence of fairness. Whilst complexity thinking does not reduce the scale of the challenge, viewing forces through this lens provides insight into why and how these forces are disrupting fairness. This allows for more purposeful, meaningful changes to support the use of fair judgement in assessment in dynamic authentic clinical workplaces.
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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.