This paper is in the following e-collection/theme issue:

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) JMIR Theme Issue: COVID-19 Special Issue (2452) Theme Issue: Apps for COVID-19 (#Apps4Covid) (136) mHealth for Patient Education (230) Chatbots and Conversational Agents (531) Early Results from COVID-19 Studies (299) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Generative Language Models Including ChatGPT (311) Theme Issue 2022: Chatbots and COVID-19 (42)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43105, first published .
Effects of User-Reported Risk Factors and Follow-Up Care Activities on Satisfaction With a COVID-19 Chatbot: Cross-Sectional Study

Effects of User-Reported Risk Factors and Follow-Up Care Activities on Satisfaction With a COVID-19 Chatbot: Cross-Sectional Study

Effects of User-Reported Risk Factors and Follow-Up Care Activities on Satisfaction With a COVID-19 Chatbot: Cross-Sectional Study

Authors of this article:

Akanksha Singh1 Author Orcid Image ;   Benjamin Schooley2 Author Orcid Image ;   Nitin Patel3 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Akanksha Singh   1 * , MS, PhD ;   Benjamin Schooley   2 * , MBA, PhD ;   Nitin Patel   3 , MD

1 Department of Health Services Administration, School of Health Professions, University of Alabama at Birmingham, Birmingham, AL, United States

2 IT & Cybersecurity, Department of Electrical and Computer Engineering, Brigham Young University, Provo, UT, United States

3 Hackensack Meridian Health, Hackensack, NJ, United States

*these authors contributed equally

Corresponding Author:

  • Benjamin Schooley, MBA, PhD
  • IT & Cybersecurity
  • Department of Electrical and Computer Engineering
  • Brigham Young University
  • 240 Engineering Building
  • Provo, UT, 84602
  • United States
  • Phone: 1 8014220027
  • Email: Ben_Schooley@byu.edu