Evidence map›Paper›PMID 38259300›Full record

ArticleResearch and reports in urology2024

ChatGPT: Is This Patient Education Tool for Urological Malignancies Readable for the General Population?

Ivan Thia, Manmeet Saluja

Open access · goldAbstract read
In one paragraph

Article in Research and reports in urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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

13 citing papers in PubMed, 12 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Ivan ThiaDepartment of Urology, Royal Perth Hospital, Perth, WA, Australia.ORCID 0009-0002-9718-4178
Manmeet SalujaDepartment of Urology, Royal Perth Hospital, Perth, WA, Australia.
Royal Perth Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With widespread adoption of technological advancements in everyday life, patients are now increasingly able and willing to obtain information about their health conditions, treatment options, and indeed expected outcomes via the convenience of any device than can access the worldwide web. This introduces another aspect of patient care in the provision of healthcare for the modern doctor. ChatGPT is the first of an increasing number of self learning programs that have been released recently which may revolutionize and impact healthcare delivery. Methods: The aim of this study is to obtain an objective measure of the readability of information provided on ChatGPT when compared with current validated patient information sheets provided by government health institutions in Western Australia. The same structured questions were input into the program for three major urological malignancies (urothelial, renal, and prostate), with the response generated evaluated with a validated readability scoring system - Flesch-Kincaid reading ease score. The same scoring system was then applied to current patient information sheets in circulation from Cancer Council Australia and UpToDate. Results: Findings in this study looking at ease of readability of information provided on ChatGPT as compared to other government bodies and healthcare institutions confirm that they are non-inferior and may be a useful tool or adjunct to the traditional clinic based consultations. Ease of use of the information generated from ChatGPT was increased further when the question was modified to target an audience of 16 years of age, the average level of education attained by an Australian. Discussion: Future research can be done to look into incorporating the use of similar technologies to increase efficiency in the healthcare system and reduce healthcare costs.

Indexed as

ChatGPTinnovative educationpatient educationurological malignancies

Identifiers

PMID38259300
PMCPMC10800281
OpenAlexW4390920461

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.