Evidence map›Paper›PMID 38530460›Full record

ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2024

The quality and readability of patient information provided by ChatGPT: can AI reliably explain common ENT operations?

Michel Abou-Abdallah, Talib Dar, Yasamin Mahmudzade, Joshua Michaels, Rishi Talwar, Chrysostomos Tornari

Abstract read
PubMed Publisher
In one paragraph

Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Review
  12. Accuracy of ChatGPT responses on tracheotomy for patient education.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024
    Article
  13. Limitations of readability assessment tools.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024
    Article
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Michel Abou-AbdallahEar, Nose and Throat Department, Luton and Dunstable University Hospital, Lewsey Rd, Luton, LU4 0DZ, UK. michel.abouabdallah@nhs.net.ORCID http://orcid.org/0000-0001-9782-5209
Talib DarEar, Nose and Throat Department, Luton and Dunstable University Hospital, Lewsey Rd, Luton, LU4 0DZ, UK.ORCID http://orcid.org/0009-0001-5789-4709
Yasamin MahmudzadeFoundation Programme, East and North Hertfordshire NHS Trust, Stevenage, UK.ORCID http://orcid.org/0000-0003-3602-1025
Joshua MichaelsEar, Nose and Throat Department, Luton and Dunstable University Hospital, Lewsey Rd, Luton, LU4 0DZ, UK.ORCID http://orcid.org/0000-0001-8598-3891
Rishi TalwarEar, Nose and Throat Department, Luton and Dunstable University Hospital, Lewsey Rd, Luton, LU4 0DZ, UK.ORCID http://orcid.org/0000-0002-1364-3377
Chrysostomos TornariEar, Nose and Throat Department, Luton and Dunstable University Hospital, Lewsey Rd, Luton, LU4 0DZ, UK.ORCID http://orcid.org/0000-0002-1212-0590

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAccess to high-quality and comprehensible patient information is crucial. However, information provided by increasingly prevalent Artificial Intelligence tools has not been thoroughly investigated. This study assesses the quality and readability of information from ChatGPT regarding three index ENT operations: tonsillectomy, adenoidectomy, and grommets.

methodsWe asked ChatGPT standard and simplified questions. Readability was calculated using Flesch-Kincaid Reading Ease Score (FRES), Flesch-Kincaid Grade Level (FKGL), Gunning Fog Index (GFI) and Simple Measure of Gobbledygook (SMOG) scores. We assessed quality using the DISCERN instrument and compared these with ENT UK patient leaflets.

resultsChatGPT readability was poor, with mean FRES of 38.9 and 55.1 pre- and post-simplification, respectively. Simplified information from ChatGPT was 43.6% more readable (FRES) but scored 11.6% lower for quality. ENT UK patient information readability and quality was consistently higher.

conclusionsChatGPT can simplify information at the expense of quality, resulting in shorter answers with important omissions. Limitations in knowledge and insight curb its reliability for healthcare information. Patients should use reputable sources from professional organisations alongside clear communication with their clinicians for well-informed consent and making decisions.

Indexed as

ComprehensionAdenoidectomyArtificial IntelligenceHealth LiteracyHumansOtolaryngologyOtorhinolaryngologic Surgical ProceduresPatient Education as TopicTonsillectomyArtificial IntelligenceComprehensibleENTInformed consentReadability

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.