Literature DB >> 34741513

Recruitment in a research study via chatbot versus telephone outreach: a randomized trial at a minority-serving institution.

Yoo Jin Kim1, Julie A DeLisa1, Yu-Che Chung1, Nancy L Shapiro2, Subhash K Kolar Rajanna3, Edward Barbour3, Jeffrey A Loeb3,4, Justin Turner5, Susan Daley5, John Skowlund5, Jerry A Krishnan1.   

Abstract

Chatbots are software applications to simulate a conversation with a person. The effectiveness of chatbots in facilitating the recruitment of study participants in research, specifically among racial and ethnic minorities, is unknown. The objective of this study is to compare a chatbot versus telephone-based recruitment in enrolling research participants from a predominantly minority patient population at an urban institution. We randomly allocated adults to receive either chatbot or telephone-based outreach regarding a study about vaccine hesitancy. The primary outcome was the proportion of participants who provided consent to participate in the study. In 935 participants, the proportion who answered contact attempts was significantly lower in the chatbot versus telephone group (absolute difference -21.8%; 95% confidence interval [CI] -27.0%, -16.5%; P < 0.001). The consent rate was also significantly lower in the chatbot group (absolute difference -3.4%; 95% CI -5.7%, -1.1%; P = 0.004). However, among participants who answered a contact attempt, the difference in consent rates was not significant. In conclusion, the consent rate was lower with chatbot compared to telephone-based outreach. The difference in consent rates was due to a lower proportion of participants in the chatbot group who answered a contact attempt.
© The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Chatbot; electronic consent; recruitment; telephone outreach

Mesh:

Year:  2021        PMID: 34741513      PMCID: PMC8714282          DOI: 10.1093/jamia/ocab240

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  24 in total

1.  Racial Health Disparities and Covid-19 - Caution and Context.

Authors:  Merlin Chowkwanyun; Adolph L Reed
Journal:  N Engl J Med       Date:  2020-05-06       Impact factor: 91.245

2.  How the Wakamola chatbot studied a university community's lifestyle during the COVID-19 confinement.

Authors:  Sabina Asensio-Cuesta; Vicent Blanes-Selva; Manuel Portolés; J Alberto Conejero; Juan M García-Gómez
Journal:  Health Informatics J       Date:  2021 Apr-Jun       Impact factor: 2.681

3.  Engagement and Effectiveness of a Healthy-Coping Intervention via Chatbot for University Students During the COVID-19 Pandemic: Mixed Methods Proof-of-Concept Study.

Authors:  Silvia Gabrielli; Silvia Rizzi; Giulia Bassi; Sara Carbone; Rosa Maimone; Michele Marchesoni; Stefano Forti
Journal:  JMIR Mhealth Uhealth       Date:  2021-05-28       Impact factor: 4.773

4.  Implementation of a digital chatbot to screen health system employees during the COVID-19 pandemic.

Authors:  Timothy J Judson; Anobel Y Odisho; Jerry J Young; Olivia Bigazzi; David Steuer; Ralph Gonzales; Aaron B Neinstein
Journal:  J Am Med Inform Assoc       Date:  2020-07-01       Impact factor: 4.497

5.  Early SNS-Based Monitoring System for the COVID-19 Outbreak in Japan: A Population-Level Observational Study.

Authors:  Daisuke Yoneoka; Takayuki Kawashima; Yuta Tanoue; Shuhei Nomura; Keisuke Ejima; Shoi Shi; Akifumi Eguchi; Toshibumi Taniguchi; Haruka Sakamoto; Hiroyuki Kunishima; Stuart Gilmour; Hiroshi Nishiura; Hiroaki Miyata
Journal:  J Epidemiol       Date:  2020-05-30       Impact factor: 3.211

6.  Acceptance and Commitment Therapy Delivered via a Mobile Phone Messaging Robot to Decrease Postoperative Opioid Use in Patients With Orthopedic Trauma: Randomized Controlled Trial.

Authors:  Chris A Anthony; Edward Octavio Rojas; Valerie Keffala; Natalie Ann Glass; Apurva S Shah; Benjamin J Miller; Matthew Hogue; Michael C Willey; Matthew Karam; John Lawrence Marsh
Journal:  J Med Internet Res       Date:  2020-07-29       Impact factor: 5.428

7.  A Chatbot Versus Physicians to Provide Information for Patients With Breast Cancer: Blind, Randomized Controlled Noninferiority Trial.

Authors:  Jean-Emmanuel Bibault; Benjamin Chaix; Arthur Guillemassé; Sophie Cousin; Alexandre Escande; Morgane Perrin; Arthur Pienkowski; Guillaume Delamon; Pierre Nectoux; Benoît Brouard
Journal:  J Med Internet Res       Date:  2019-11-27       Impact factor: 5.428

8.  Online forward triage during the COVID-19 outbreak.

Authors:  Wolf E Hautz; Aristomenis Exadaktylos; Thomas C Sauter
Journal:  Emerg Med J       Date:  2020-12-11       Impact factor: 2.740

9.  Use of the Chatbot "Vivibot" to Deliver Positive Psychology Skills and Promote Well-Being Among Young People After Cancer Treatment: Randomized Controlled Feasibility Trial.

Authors:  Stephanie Greer; Danielle Ramo; Yin-Juei Chang; Michael Fu; Judith Moskowitz; Jana Haritatos
Journal:  JMIR Mhealth Uhealth       Date:  2019-10-31       Impact factor: 4.773

10.  Use Characteristics and Triage Acuity of a Digital Symptom Checker in a Large Integrated Health System: Population-Based Descriptive Study.

Authors:  Keith E Morse; Nicolai P Ostberg; Veena G Jones; Albert S Chan
Journal:  J Med Internet Res       Date:  2020-11-30       Impact factor: 5.428

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