Assessing the reliability and usefulness of <scp>ChatGPT</scp> responses on intermittent catheterization queries: A critical analysis

Abstract The rapid development of technology has caused patients to start using artificial intelligence based applications more frequently to learn about their diseases. The aim of this study was to evaluate the reliability and usefulness of responses to questions related to intermittent catheterization using the large language model defined as ChatGPT. Ten questions were created based on the most searched keywords on Google Trends, the most searched questions on ChatGPT and the clinical experiences of the authors. The created questions were asked to ChatGPT and the answers were evaluated by five raters with seven‐point Likert‐type reliability and usefulness scales. The highest score in terms of reliability and usefulness was the response to “Is there a difference between the catheters used for intermittent catheterization in men and women?”(mean 6.4 ± 0.8; 6.0 ± 1.0). The lowest average reliability and usability score was for the response to “What is intermittent catheterization and how is it performed?”(mean 2.8 ± 0.8; 2.8 ± 0.8). ChatGPT is relatively very reliable and moderately useful in providing patients with information about intermittent catheterization, but it may give incorrect and misleading answers. It should be remembered that simple errors in intermittent catheterization can lead to major problems.

Authors

Institutions

Publication Details

Journal
International Journal of Urological Nursing
Published
2024-10-23
DOI
https://doi.org/10.1111/ijun.12428
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing the reliability and usefulness of ChatGPT responses on intermittent catheterization queries: A critical analysis

Nilgün Aras, Nurcan Çalışkan
International Journal of Urological Nursing
Artificial Intelligence in Healthcare and Education
article

Assessing the reliability and usefulness of ChatGPT responses on intermittent catheterization queries: A critical analysis

Nilgün Aras, Nurcan Çalışkan
article en

Abstract

Abstract The rapid development of technology has caused patients to start using artificial intelligence based applications more frequently to learn about their diseases. The aim of this study was to evaluate the reliability and usefulness of responses to questions related to intermittent catheterization using the large language model defined as ChatGPT. Ten questions were created based on the most searched keywords on Google Trends, the most searched questions on ChatGPT and the clinical experiences of the authors. The created questions were asked to ChatGPT and the answers were evaluated by five raters with seven‐point Likert‐type reliability and usefulness scales. The highest score in terms of reliability and usefulness was the response to “Is there a difference between the catheters used for intermittent catheterization in men and women?”(mean 6.4 ± 0.8; 6.0 ± 1.0). The lowest average reliability and usability score was for the response to “What is intermittent catheterization and how is it performed?”(mean 2.8 ± 0.8; 2.8 ± 0.8). ChatGPT is relatively very reliable and moderately useful in providing patients with information about intermittent catheterization, but it may give incorrect and misleading answers. It should be remembered that simple errors in intermittent catheterization can lead to major problems.

International Journal of Urological NursingVol. 18(3)
Ministry of Health (TR), Gazi University (TR)
Quality Education
Openalex Percentile: Top 86%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Assessing the reliability and usefulness of <scp>ChatGPT</scp> responses on intermittent catheterization queries: A critical analysis — Nilgün Aras, Nurcan Çalışkan · International Journal of Urological Nursing (2024) | TGRS Research Map | TGRS