Evidence map›Paper›PMID 37351698›Full record

ArticleAdvances in health sciences education : theory and practice2024

Inequity is woven into the fabric: a discourse analysis of assessment in pediatric residency training.

Hannah L Anderson, Layla Abdulla, Dorene F Balmer, Marjan Govaerts, Jamiu O Busari

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Article in Advances in health sciences education : theory and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

5 authors.

Hannah L AndersonDepartment of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, USA. andersonhl@chop.edu.ORCID 0000-0002-9435-1535
Layla AbdullaPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-2991-491X
Dorene F BalmerDirector of Research On Education, Perelman School of Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA.
Marjan GovaertsDepartment of Educational Development, School of Health Professions Education (SHE), Maastricht University, Maastricht, The Netherlands.ORCID 0000-0003-3742-0781
Jamiu O BusariFaculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0002-8616-5564

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intrinsic inequity in assessment refers to sources of harmful discrimination inherent in the design of assessment tools and systems. This study seeks to understand intrinsic inequity in assessment systems by studying assessment policies and associated procedures in residency training, using general pediatrics as a discourse case study. Foucauldian discourse analysis (FDA) was conducted on assessment policy and procedure documents. Two authors independently prepared structured analytic notes using guiding questions. Documents and respective analytic notes were subsequently reviewed independently by all authors. Each author prepared further unstructured analytic notes on the documents' discourse. The authors then compared notes and constructed truth statements (i.e., interpretations of what the discourse establishes as true about the construct under study) and sub-strands (i.e., themes) that were repeated and legitimized across the documents via iterative discussion. Based on analysis, the authors constructed two truth statements. These truth statements, "good assessment is equitable assessment," and "everyone is responsible for inequity," conceptualized inequity in assessment as an isolated or individual-level aberration in an otherwise effective or neutral system. Closer examination of the truth statements and sub-strands in the discourse presented an alternative view, suggesting that inequity may in fact not be an aberration but rather an inherent feature of assessment systems.

Indexed as

Internship and ResidencyChildHumansPolicyAssessmentDiscourse analysisEquityPolicyResidency

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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.