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Scoring reading parameters: An inter-rater reliability study using the MNREAD chart.

Karthikeyan Baskaran1, Antonio Filipe Macedo1,2, Yingchen He3

  • 1Department of Medicine and Optometry, Linnaeus University, Kalmar, Sweden.

Plos One
|June 8, 2019
PubMed
Summary
This summary is machine-generated.

Inter-rater reliability for maximum reading speed (MRS) was excellent, but critical print size (CPS) showed moderate agreement. Computer algorithms, particularly the non-linear mixed effects (NLME) method, demonstrated good agreement with human raters for both parameters.

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Area of Science:

  • Ophthalmology and Visual Science
  • Human Factors and Ergonomics

Background:

  • Assessing reading performance in visually impaired individuals is crucial for rehabilitation and understanding visual function.
  • The MNREAD acuity chart is a standard tool, but its scoring can be subjective, impacting reliability.
  • Objective scoring methods are needed to complement human interpretation.

Purpose of the Study:

  • To evaluate inter-rater reliability of human scoring for MNREAD reading performance parameters.
  • To assess the agreement between automated scoring algorithms and human raters for MNREAD data.

Main Methods:

  • 101 individuals with low vision completed the Portuguese MNREAD test.
  • Seven raters manually scored maximum reading speed (MRS) and critical print size (CPS).
  • Two algorithms (standard deviation and NLME) automatically calculated MRS and CPS.

Main Results:

  • Excellent inter-rater reliability was found for MRS (ICC=0.97).
  • Moderate to good inter-rater reliability was observed for CPS (ICC=0.77), with experienced raters showing better agreement.
  • The NLME algorithm demonstrated excellent agreement with human raters for MRS and good agreement for CPS.

Conclusions:

  • Human inter-rater reliability for MRS is high, even with low-vision data.
  • Lower inter-rater reliability for CPS highlights the need for standardized guidelines.
  • Automated methods, especially NLME, offer reliable alternatives for scoring MNREAD parameters, improving consistency in research and clinical settings.