Readability and Information Quality in Cancer Information From a Free vs Paid Chatbot

Author:

Musheyev David1,Pan Alexander1,Gross Preston1,Kamyab Daniel1,Kaplinsky Peter1,Spivak Mark1,Bragg Marie A.234,Loeb Stacy24,Kabarriti Abdo E.1

Affiliation:

1. Department of Urology, State University of New York Downstate Health Sciences University, New York

2. Department of Urology, New York University and Manhattan Veterans Affairs, New York

3. Marketing Department, Stern School of Business, New York University, New York

4. Department of Population Health, New York University, New York

Abstract

ImportanceThe mainstream use of chatbots requires a thorough investigation of their readability and quality of information.ObjectiveTo identify readability and quality differences in information between a free and paywalled chatbot cancer-related responses, and to explore if more precise prompting can mitigate any observed differences.Design, Setting, and ParticipantsThis cross-sectional study compared readability and information quality of a chatbot’s free vs paywalled responses with Google Trends’ top 5 search queries associated with breast, lung, prostate, colorectal, and skin cancers from January 1, 2021, to January 1, 2023. Data were extracted from the search tracker, and responses were produced by free and paywalled ChatGPT. Data were analyzed from December 20, 2023, to January 15, 2024.ExposuresFree vs paywalled chatbot outputs with and without prompt: “Explain the following at a sixth grade reading level: [nonprompted input].”Main Outcomes and MeasuresThe primary outcome measured the readability of a chatbot’s responses using Flesch Reading Ease scores (0 [graduate reading level] to 100 [easy fifth grade reading level]). Secondary outcomes included assessing consumer health information quality with the validated DISCERN instrument (overall score from 1 [low quality] to 5 [high quality]) for each response. Scores were compared between the 2 chatbot models with and without prompting.ResultsThis study evaluated 100 chatbot responses. Nonprompted free chatbot responses had lower readability (median [IQR] Flesh Reading ease scores, 52.60 [44.54-61.46]) than nonprompted paywalled chatbot responses (62.48 [54.83-68.40]) (P < .05). However, prompting the free chatbot to reword responses at a sixth grade reading level was associated with increased reading ease scores than the paywalled chatbot nonprompted responses (median [IQR], 71.55 [68.20-78.99]) (P < .001). Prompting was associated with increases in reading ease in both free (median [IQR], 71.55 [68.20-78.99]; P < .001)and paywalled versions (median [IQR], 75.64 [70.53-81.12]; P < .001). There was no significant difference in overall DISCERN scores between the chatbot models, with and without prompting.Conclusions and RelevanceIn this cross-sectional study, paying for the chatbot was found to provide easier-to-read responses, but prompting the free version of the chatbot was associated with increased response readability without changing information quality. Educating the public on how to prompt chatbots may help promote equitable access to health information.

Publisher

American Medical Association (AMA)

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