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Res Dev Med Educ. 2026;15: 33395.
doi: 10.34172/rdme.33395
  Abstract View: 61
  PDF Download: 53

Original Article

Conceptualization of Complexity, Accuracy, and Fluency in Assessing Medical Writings: Comparing language and Content Specialist

Sayyed Mohammad Alavi 1* ORCID logo, Neda Rahmatvand 2 ORCID logo

1 Faculty of Foreign Language and Literatures, University of Tehran, Tehran, Iran
2 Faculty of Foreign Language and Literatures, Alborz Campus, University of Tehran, Tehran, Iran
*Corresponding Author: Sayyed Mohammad Alavi, Email: smalavi@ut.ac.ir

Abstract

Introduction: This study investigates how language specialists and content experts conceptualize and prioritize the dimensions of Complexity, Accuracy, and Fluency (CAF) in the assessment of medical writing.

Methods: Six hypertension-related medical texts were independently evaluated by medical specialists and language specialists using a standardized CAF rubric.

Results: The quantitative analysis showed near-perfect inter-rater agreement for Accuracy, substantial agreement for Complexity, and moderate agreement for Fluency. A qualitative thematic analysis of raters’ justifications and panel discussions revealed a shared emphasis on the critical importance of accuracy, nuanced differences in the interpretation of complexity, and divergent views on fluency shaped by stylistic and disciplinary preferences. The findings highlight the central tension between maintaining clinical precision and ensuring language accessibility, underscoring the importance of interdisciplinary evaluation for comprehensive assessment of medical texts.

Conclusion: This integrated approach offers a replicable model for evaluating medical texts that balances clinical accuracy with linguistic clarity, ultimately supporting clear and effective scientific communication. This study contributes valuable insights to language assessment and medical writing pedagogy, supporting tailored interventions to improve the linguistic quality and practical effectiveness of scientific texts authored by non-native English speakers.


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Submitted: 04 Oct 2025
Revision: 01 Dec 2025
Accepted: 01 Dec 2025
ePublished: 02 Aug 2026
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