Evidence map›Paper›PMID 39664064›Full record

ArticleOTO open

Enhancing Multilingual Patient Education: ChatGPT's Accuracy and Readability for SSNHL Queries in English and Spanish.

Emily Ajit-Roger, Alexander Moise, Carolina Peralta, Ostap Orishchak, Sam J Daniel

Abstract read
In one paragraph

Article in OTO open. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Emily Ajit-RogerFaculty of Medicine and Health Sciences McGill University Montreal Quebec Canada.ORCID 0009-0004-7362-2633
Alexander MoiseFaculty of Medicine and Health Sciences McGill University Montreal Quebec Canada.ORCID https://orcid.org/0000-0001-9438-1788
Carolina PeraltaDepartment of Otolaryngology-Head and Neck Surgery McGill University Montreal Quebec Canada.
Ostap OrishchakDepartment of Otolaryngology-Head and Neck Surgery McGill University Montreal Quebec Canada.
Sam J DanielDepartment of Pediatric Otolaryngology Montreal Children's Hospital Montreal Quebec Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study investigates ChatGPT's accuracy, readability, understandability, and actionability in responding to patient queries on sudden sensorineural hearing loss (SSNHL) in English and Spanish, when compared to Google responses. The objective is to address concerns regarding its proficiency in addressing medical inquiries when presented in a language divergent from its primary programming. Study Design: Observational. Setting: Virtual environment. Methods: Using ChatGPT 3.5 and Google, questions from the AAO-HNSF guidelines were presented in English and Spanish. Responses were graded by 2 otolaryngologists proficient in both languages using a 4-point Likert scale and the PEMAT-P tool. To ensure uniform application of the Likert scale, a third independent evaluator reviewed the consistency in grading. Readability was evaluated using 3 different tools specific to each language. IBM SPSS Version 29 was used for statistical analysis using one-way analysis of variance. Results: Across both languages, the responses displayed a native-level language proficiency. Accuracy was comparable between sources and languages. Google's Spanish responses had better readability (effect size 0.35, Conclusion: ChatGPT offers patients comprehensive and guideline-conforming answers to SSNHL patient medical queries in the 2 most spoken languages in the United States. However, improvements in its readability and understandability are warranted for more accessible patient education.

Indexed as

artificial intelligencehealth educationlarge language modelSpanishsudden sensorineural hearing loss

Identifiers

PMID39664064
PMCPMC11633712

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.