Caudal Anesthesia Patient Education Materials: Comprehensive Analysis of Generative Artificial Intelligence and Traditional Patient Information Leaflets

The data that support the findings of this study are available from the corresponding author upon reasonable request. File S1: Source compilation of standard and AI-generated patient information leaflets for pediatric caudal anesthesia. This annexure compiles the complete text of the four evaluated patient leaflets, comprising the institutional standard (NHS) and three large language model generations (ChatGPT, Google Gemini, and DeepSeek). File S2: Methodological framework and evaluation tools for patient information leaflet assessment. This document provides the comprehensive criteria, mathematical formulas, and scoring interpretations for the Flesch Reading Ease (FRE), Flesch–Kincaid Grade Level (FKGL), patient education materials assessment tool (PEMAT-P), sentiment analysis, and expert Likert scale metrics. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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Publication Details

Journal
Pediatric Anesthesia
Published
2026-05-27
DOI
https://doi.org/10.1002/pan.70233
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Caudal Anesthesia Patient Education Materials: Comprehensive Analysis of Generative Artificial Intelligence and Traditional Patient Information Leaflets

A. R. Khan, Sourav Saha, Aritra Kundu, Prakash Gondode
Pediatric Anesthesia
Artificial Intelligence in Healthcare and Education
article

Caudal Anesthesia Patient Education Materials: Comprehensive Analysis of Generative Artificial Intelligence and Traditional Patient Information Leaflets

A. R. Khan, Sourav Saha, Aritra Kundu, Prakash Gondode
article en

Abstract

The data that support the findings of this study are available from the corresponding author upon reasonable request. File S1: Source compilation of standard and AI-generated patient information leaflets for pediatric caudal anesthesia. This annexure compiles the complete text of the four evaluated patient leaflets, comprising the institutional standard (NHS) and three large language model generations (ChatGPT, Google Gemini, and DeepSeek). File S2: Methodological framework and evaluation tools for patient information leaflet assessment. This document provides the comprehensive criteria, mathematical formulas, and scoring interpretations for the Flesch Reading Ease (FRE), Flesch–Kincaid Grade Level (FKGL), patient education materials assessment tool (PEMAT-P), sentiment analysis, and expert Likert scale metrics. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

Pediatric Anesthesia
All India Institute of Medical Sciences (IN)
Quality Education
Openalex Percentile: Top 9%
Artificial Intelligence in Healthcare and Education
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