Skip to main content
Top
Published in: European Archives of Oto-Rhino-Laryngology 2/2024

02-11-2023 | Artificial Intelligence | Miscellaneous

Artificial intelligence chatbots as sources of patient education material for obstructive sleep apnoea: ChatGPT versus Google Bard

Authors: Ryan Chin Taw Cheong, Samit Unadkat, Venkata Mcneillis, Andrew Williamson, Jonathan Joseph, Premjit Randhawa, Peter Andrews, Vinidh Paleri

Published in: European Archives of Oto-Rhino-Laryngology | Issue 2/2024

Login to get access

Abstract

Purpose

To perform the first head-to-head comparative evaluation of patient education material for obstructive sleep apnoea generated by two artificial intelligence chatbots, ChatGPT and its primary rival Google Bard.

Methods

Fifty frequently asked questions on obstructive sleep apnoea in English were extracted from the patient information webpages of four major sleep organizations and categorized as input prompts. ChatGPT and Google Bard responses were selected and independently rated using the Patient Education Materials Assessment Tool–Printable (PEMAT-P) Auto-Scoring Form by two otolaryngologists, with a Fellowship of the Royal College of Surgeons (FRCS) and a special interest in sleep medicine and surgery. Responses were subjectively screened for any incorrect or dangerous information as a secondary outcome. The Flesch-Kincaid Calculator was used to evaluate the readability of responses for both ChatGPT and Google Bard.

Results

A total of 46 questions were curated and categorized into three domains: condition (n = 14), investigation (n = 9) and treatment (n = 23). Understandability scores for ChatGPT versus Google Bard on the various domains were as follows: condition 90.86% vs.76.32% (p < 0.001); investigation 89.94% vs. 71.67% (p < 0.001); treatment 90.78% vs.73.74% (p < 0.001). Actionability scores for ChatGPT versus Google Bard on the various domains were as follows: condition 77.14% vs. 51.43% (p < 0.001); investigation 72.22% vs. 54.44% (p = 0.05); treatment 73.04% vs. 54.78% (p = 0.002). The mean Flesch–Kincaid Grade Level for ChatGPT was 9.0 and Google Bard was 5.9. No incorrect or dangerous information was identified in any of the generated responses from both ChatGPT and Google Bard.

Conclusion

Evaluation of ChatGPT and Google Bard patient education material for OSA indicates the former to offer superior information across several domains.
Literature
4.
go back to reference Kung TH, Cheatham M, Medenilla A, Sillos C, De Leon L, Elepaño C et al (2023) Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models. PLOS Digit Health 2(2):e0000198CrossRefPubMedPubMedCentral Kung TH, Cheatham M, Medenilla A, Sillos C, De Leon L, Elepaño C et al (2023) Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models. PLOS Digit Health 2(2):e0000198CrossRefPubMedPubMedCentral
7.
go back to reference Ayoub NF, Lee YJ, Grimm D, Balakrishnan K (2023) Comparison between ChatGPT and google search as sources of postoperative patient instructions. JAMA Otolaryngol Head Neck Surg [Internet] 149(6):556–558CrossRefPubMed Ayoub NF, Lee YJ, Grimm D, Balakrishnan K (2023) Comparison between ChatGPT and google search as sources of postoperative patient instructions. JAMA Otolaryngol Head Neck Surg [Internet] 149(6):556–558CrossRefPubMed
8.
go back to reference Benjafield AV, Ayas NT, Eastwood PR, Heinzer R, Ip MSM, Morrell MJ et al (2019) Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis. Lancet Respir Med 7(8):687–698CrossRefPubMedPubMedCentral Benjafield AV, Ayas NT, Eastwood PR, Heinzer R, Ip MSM, Morrell MJ et al (2019) Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis. Lancet Respir Med 7(8):687–698CrossRefPubMedPubMedCentral
9.
go back to reference Marin JM, Carrizo SJ, Vicente E, Agusti AGN (2005) Long-term cardiovascular outcomes in men with obstructive sleep apnoea-hypopnoea with or without treatment with continuous positive airway pressure: an observational study. Lancet 365(9464):1046–1053CrossRefPubMed Marin JM, Carrizo SJ, Vicente E, Agusti AGN (2005) Long-term cardiovascular outcomes in men with obstructive sleep apnoea-hypopnoea with or without treatment with continuous positive airway pressure: an observational study. Lancet 365(9464):1046–1053CrossRefPubMed
10.
go back to reference Watson NF (2016) Health care savings: the economic value of diagnostic and therapeutic care for obstructive sleep apnea. J Clin Sleep Med 12(8):1075–1077CrossRefPubMedPubMedCentral Watson NF (2016) Health care savings: the economic value of diagnostic and therapeutic care for obstructive sleep apnea. J Clin Sleep Med 12(8):1075–1077CrossRefPubMedPubMedCentral
17.
go back to reference Shoemaker SJ, Wolf MS, Brach C. The patient education materials assessment tool (PEMAT) and user’s guide. Rockville, MD: Agency for Healthcare Research and Quality. 2013 Nov;11. Shoemaker SJ, Wolf MS, Brach C. The patient education materials assessment tool (PEMAT) and user’s guide. Rockville, MD: Agency for Healthcare Research and Quality. 2013 Nov;11.
19.
go back to reference Lyons MM, Bhatt NY, Pack AI, Magalang UJ (2020) Global burden of sleep-disordered breathing and its implications. Respirology 25(7):690–702CrossRefPubMed Lyons MM, Bhatt NY, Pack AI, Magalang UJ (2020) Global burden of sleep-disordered breathing and its implications. Respirology 25(7):690–702CrossRefPubMed
22.
go back to reference Alkaissi H, McFarlane SI (2023) Artificial hallucinations in ChatGPT: implications in scientific writing. Cureus 15(2):2–5 Alkaissi H, McFarlane SI (2023) Artificial hallucinations in ChatGPT: implications in scientific writing. Cureus 15(2):2–5
24.
go back to reference Oliffe M, Thompson E, Johnston J, Freeman D, Bagga H, Wong PKK (2019) Assessing the readability and patient comprehension of rheumatology medicine information sheets: a cross-sectional Health Literacy Study. BMJ Open 9(2):1–10CrossRef Oliffe M, Thompson E, Johnston J, Freeman D, Bagga H, Wong PKK (2019) Assessing the readability and patient comprehension of rheumatology medicine information sheets: a cross-sectional Health Literacy Study. BMJ Open 9(2):1–10CrossRef
Metadata
Title
Artificial intelligence chatbots as sources of patient education material for obstructive sleep apnoea: ChatGPT versus Google Bard
Authors
Ryan Chin Taw Cheong
Samit Unadkat
Venkata Mcneillis
Andrew Williamson
Jonathan Joseph
Premjit Randhawa
Peter Andrews
Vinidh Paleri
Publication date
02-11-2023
Publisher
Springer Berlin Heidelberg
Published in
European Archives of Oto-Rhino-Laryngology / Issue 2/2024
Print ISSN: 0937-4477
Electronic ISSN: 1434-4726
DOI
https://doi.org/10.1007/s00405-023-08319-9

Other articles of this Issue 2/2024

European Archives of Oto-Rhino-Laryngology 2/2024 Go to the issue