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Patient-facing chatbots: Enhancing healthcare accessibility while navigating digital literacy challenges and isolation risks-a mixed-methods study.

作者信息

Moore Annie A, Ellis Jessica R, Dellavalle Natalia, Akerson Marlee, Andazola Matt, Campbell Eric G, DeCamp Matthew

机构信息

Department of Medicine, General Internal Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.

Center for Bioethics and Humanities, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.

出版信息

Digit Health. 2025 Apr 28;11:20552076251337321. doi: 10.1177/20552076251337321. eCollection 2025 Jan-Dec.


DOI:10.1177/20552076251337321
PMID:40308811
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12041682/
Abstract

OBJECTIVE: Digital communication between patients and healthcare teams is increasing. Most patients find this effective, yet many patients remain digitally isolated, a social determinant of health. This study investigates patient attitudes toward healthcare's newest digital assistant, the chatbot, and perceptions regarding healthcare access. METHODS: We conducted a mixed methods study among patient users of a large healthcare system's chatbot integrated within an electronic health record. We purposively oversampled by race and ethnicity to survey 617/3089 (response rate 20%) patient users online using de novo and validated items. In addition, we conducted semi-structured interviews with users (n = 46) purposively sampled based on diversity, age, or select survey responses between November 2022 and May 2024. RESULTS: In surveys, 213/609 (35.0%) felt they could not understand the chatbot completely, and 376/614 (61.2%) felt the chatbot did not completely understand them. Of 238 users who felt completely understood by the chatbot, 178 (74.8%) believed the chatbot was intended to help them access healthcare; in comparison, of 376 users who felt not completely understood, 155 (41%) believed the chatbot was intended to help access ( < 0.001). In interviews, among themes observed, Black, Hispanic, less educated, younger, and lower-income participants expressed more positivity about the chatbot aiding healthcare access, stating convenience and perceived absence of judgment or bias. CONCLUSION: Patients' experience with the chatbot appears to affect their perception of the intent of the chatbot's implementation; those adept at chatbot communication or within historically less trusting groups may prefer a quick, non-judgmental answer to questions via the chatbot rather than human interaction. Although our findings are limited to one health system's existing chatbot users, as patient-facing chatbots expand, attention to these factors can support healthcare systems' efforts to design chatbots that meet the unique communication needs of all patients, expressly those at risk of digital isolation.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/715c/12041682/481f7d0a9b05/10.1177_20552076251337321-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/715c/12041682/b05cc9a4b0d5/10.1177_20552076251337321-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/715c/12041682/481f7d0a9b05/10.1177_20552076251337321-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/715c/12041682/b05cc9a4b0d5/10.1177_20552076251337321-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/715c/12041682/481f7d0a9b05/10.1177_20552076251337321-fig2.jpg

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本文引用的文献

[1]
Patterns of digital health access and use among US adults: A latent class analysis.

BMC Digit Health. 2024

[2]
How Useful are Current Chatbots Regarding Urology Patient Information? Comparison of the Ten Most Popular Chatbots' Responses About Female Urinary Incontinence.

J Med Syst. 2024-11-13

[3]
Still Using Only ChatGPT? The Comparison of Five Different Artificial Intelligence Chatbots' Answers to the Most Common Questions About Kidney Stones.

J Endourol. 2024-11

[4]
Transforming Health Care Through Chatbots for Medical History-Taking and Future Directions: Comprehensive Systematic Review.

JMIR Med Inform. 2024-8-29

[5]
Smartphone Proficiency in Community-Dwelling Older Adults is Associated With Higher-Level Competence and Physical Function: A Population-Based Age-Specific Cross-Sectional Study.

J Appl Gerontol. 2025-1

[6]
Evaluation of information accuracy and clarity: ChatGPT responses to the most frequently asked questions about premature ejaculation.

Sex Med. 2024-6-2

[7]
Patient Perceptions of Chatbot Supervision in Health Care Settings.

JAMA Netw Open. 2024-4-1

[8]
A pioneering EMR-embedded digital health literacy tool reveals healthcare disparities for diverse older adults.

J Am Geriatr Soc. 2024-8

[9]
Association of mobile device proficiency and subjective cognitive complaints with financial management ability among community-dwelling older adults: a population-based cross-sectional study.

Aging Clin Exp Res. 2024-2-17

[10]
Digital literacy as a new determinant of health: A scoping review.

PLOS Digit Health. 2023-10-12

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