Improving Readability of Shoulder and Elbow Surgery Online Patient Education Material with Chat Generative Pretrained Transformer (ChatGPT) 4.

IF 2.9 2区 医学 Q1 ORTHOPEDICS
Krishna Chandra, Umar Ghilzai, Jad Lawand, Abdullah Ghali, Benjamin Fiedler, Adil S Ahmed
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引用次数: 0

Abstract

Background: Health literacy is crucial for effective doctor-patient communication, particularly for surgical patients who need to comprehend complex procedures and care protocols. The American Medical Association and National Institutes of Health suggest patient education materials be at a sixth to eighth-grade reading level. Despite this, many online materials for orthopedic surgeries, including shoulder and elbow procedures are written above this level. ChatGPT-4, an AI language model, may help simplify these materials and improve readability given poor health literacy in patient populations.

Methods: Thirty excerpts of patient-facing information on shoulder and elbow surgeries were selected from academic and professional medical sources a variety of shoulder and elbow orthopedic surgical topics. Original readability was assessed using the SMOG (Simple Measure of Gobbledygook) Index. ChatGPT then analyzed readability and simplified the text to a sixth- to eighth-grade level. To simplify the text while maintaining medical accuracy, the following prompt was used: "Rewrite this text at a 6th to 8th grade level without losing information." ChatGPT achieved this by defining medical terminology, using common language equivalents, and restructuring information for easier readability. Simplified text was re-evaluated for readability by both SMOG Index and ChatGPT and accuracy by study authors.

Results: Original excerpts had an average SMOG readability score of 10.1, requiring about a tenth grade reading level. ChatGPT's initial analysis averaged slightly higher at 10.3 (p<0.001). Following simplification, the both the SMOG readability score and ChatGPT significantly dropped to 8.3, and 7.7, respectively, aligning closer to recommended readability levels (p<0.001). ChatGPT also provided targeted feedback on areas for readability improvement.

Conclusions: ChatGPT-4 demonstrated utility in analyzing and simplifying shoulder and elbow surgery patient education materials, lowering readability to near-recommended levels. By providing specific suggestions for simplification, ChatGPT streamlined the revision process, enhancing potential patient understanding and engagement. However, human review remains necessary to ensure clinical accuracy in AI-simplified materials.

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来源期刊
CiteScore
6.50
自引率
23.30%
发文量
604
审稿时长
11.2 weeks
期刊介绍: The official publication for eight leading specialty organizations, this authoritative journal is the only publication to focus exclusively on medical, surgical, and physical techniques for treating injury/disease of the upper extremity, including the shoulder girdle, arm, and elbow. Clinically oriented and peer-reviewed, the Journal provides an international forum for the exchange of information on new techniques, instruments, and materials. Journal of Shoulder and Elbow Surgery features vivid photos, professional illustrations, and explicit diagrams that demonstrate surgical approaches and depict implant devices. Topics covered include fractures, dislocations, diseases and injuries of the rotator cuff, imaging techniques, arthritis, arthroscopy, arthroplasty, and rehabilitation.
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