Evidence map›Paper›PMID 40602776›Full record

ArticleApplied clinical informatics2025

Health Consumers' Use and Perceptions of Health Information from Generative Artificial Intelligence Chatbots: A Scoping Review.

John Robert Bautista, Drew Herbert, Matthew Farmer, Ryan Q De Torres, Gil P Soriano, Charlene E Ronquillo

Abstract readScoping Review
In one paragraph

Article in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

John Robert BautistaSinclair School of Nursing, University of Missouri-Columbia, Columbia, Missouri, United States.
Drew HerbertSinclair School of Nursing, University of Missouri-Columbia, Columbia, Missouri, United States.
Matthew FarmerSinclair School of Nursing, University of Missouri-Columbia, Columbia, Missouri, United States.
Ryan Q De TorresCollege of Nursing, University of the Philippines-Manila, Manila, Philippines.
Gil P SorianoDepartment of Nursing, National University, Manila, Philippines.
Charlene E RonquilloSchool of Nursing, University of British Columbia Okanagan, Canada.

Funding

MU Sinclair School of Nursing Start-up grant
6 · The paper itself

Abstract

Health consumers can use generative artificial intelligence (GenAI) chatbots to seek health information. As GenAI chatbots continue to improve and be adopted, it is crucial to examine how health information generated by such tools is used and perceived by health consumers.To conduct a scoping review of health consumers' use and perceptions of health information from GenAI chatbots.Arksey and O'Malley's five-step protocol was used to guide the scoping review. Following PRISMA guidelines, relevant empirical papers published on or after January 1, 2019, were retrieved between February and July 2024. Thematic and content analyses were performed.We retrieved 3,840 titles and reviewed 12 papers that included 13 studies (quantitative = 5, qualitative = 4, and mixed = 4). ChatGPT was used in 11 studies, while two studies used GPT-3. Most were conducted in the United States (

Indexed as

Artificial IntelligenceConsumer Health InformationPerceptionGenerative Artificial IntelligenceHumans

Identifiers

PMID40602776
PMCPMC12390362

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.