ArticleMedical science educator2024
Examining Inclusive Language in Clinical Narratives in Medical Biochemistry Textbooks to Model Equitable Patient-Centered Care in Preclinical Undergraduate Medical Education.
Article in Medical science educator, 2024. 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.
- From language matters to stigma-free communication in diabetes: Evolution, challenges, and next steps.Diabetic medicine : a journal of the British Diabetic Association · 2026Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: When healthcare professionals use biased or stigmatizing language to describe people or conditions, it can impact the quality of care or erode the patient-physician relationship. It is not clear where healthcare professionals acquire biased and stigmatizing language in practice. This study focuses on examining language in educational materials used in training of medical students. Specifically, medical biochemistry textbooks were examined as they are often a first exposure to clinical narratives and communication standards. The aim of this project is to investigate whether medical biochemistry textbooks, widely recommended in preclinical UME, model inclusive language communication in clinical narratives. Methods: To determine if educational materials follow inclusive writing guidelines, we conducted a modified document analysis on a sample of medical biochemistry textbooks when clinical scenarios were described. Three independent researchers separately reviewed the textbooks, coded the language using NVivo, and generated themes. Results: Our results show that medical biochemistry textbooks contain language which is not in alignment with the best practices for inclusive language. Our analysis mapped codes to two primary themes of language misalignment. The first theme, "clinical language" ( Conclusion: This study provides early evidence that the language used in medical biochemistry textbooks to describe people and conditions is not in alignment with inclusive language recommendations. This can reinforce the way future healthcare professionals speak to and about their patients.
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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.