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When Chatbots Meet Patients: One-Year Prospective Study of Conversations Between Patients With Breast Cancer and a Chatbot
BACKGROUND: A chatbot is a software that interacts with users by simulating a human conversation through text or voice via smartphones or computers. It could be a solution to follow up with patients during their disease while saving time for health care providers. OBJECTIVE: The aim of this study wa...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6521209/ https://www.ncbi.nlm.nih.gov/pubmed/31045505 http://dx.doi.org/10.2196/12856 |
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author | Chaix, Benjamin Bibault, Jean-Emmanuel Pienkowski, Arthur Delamon, Guillaume Guillemassé, Arthur Nectoux, Pierre Brouard, Benoît |
author_facet | Chaix, Benjamin Bibault, Jean-Emmanuel Pienkowski, Arthur Delamon, Guillaume Guillemassé, Arthur Nectoux, Pierre Brouard, Benoît |
author_sort | Chaix, Benjamin |
collection | PubMed |
description | BACKGROUND: A chatbot is a software that interacts with users by simulating a human conversation through text or voice via smartphones or computers. It could be a solution to follow up with patients during their disease while saving time for health care providers. OBJECTIVE: The aim of this study was to evaluate one year of conversations between patients with breast cancer and a chatbot. METHODS: Wefight Inc designed a chatbot (Vik) to empower patients with breast cancer and their relatives. Vik responds to the fears and concerns of patients with breast cancer using personalized insights through text messages. We conducted a prospective study by analyzing the users’ and patients’ data, their usage duration, their interest in the various educational contents proposed, and their level of interactivity. Patients were women with breast cancer or under remission. RESULTS: A total of 4737 patients were included. Results showed that an average of 132,970 messages exchanged per month was observed between patients and the chatbot, Vik. Thus, we calculated the average medication adherence rate over 4 weeks by using a prescription reminder function, and we showed that the more the patients used the chatbot, the more adherent they were. Patients regularly left positive comments and recommended Vik to their friends. The overall satisfaction was 93.95% (900/958). When asked what Vik meant to them and what Vik brought them, 88.00% (943/958) said that Vik provided them with support and helped them track their treatment effectively. CONCLUSIONS: We demonstrated that it is possible to obtain support through a chatbot since Vik improved the medication adherence rate of patients with breast cancer. |
format | Online Article Text |
id | pubmed-6521209 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-65212092019-06-07 When Chatbots Meet Patients: One-Year Prospective Study of Conversations Between Patients With Breast Cancer and a Chatbot Chaix, Benjamin Bibault, Jean-Emmanuel Pienkowski, Arthur Delamon, Guillaume Guillemassé, Arthur Nectoux, Pierre Brouard, Benoît JMIR Cancer Original Paper BACKGROUND: A chatbot is a software that interacts with users by simulating a human conversation through text or voice via smartphones or computers. It could be a solution to follow up with patients during their disease while saving time for health care providers. OBJECTIVE: The aim of this study was to evaluate one year of conversations between patients with breast cancer and a chatbot. METHODS: Wefight Inc designed a chatbot (Vik) to empower patients with breast cancer and their relatives. Vik responds to the fears and concerns of patients with breast cancer using personalized insights through text messages. We conducted a prospective study by analyzing the users’ and patients’ data, their usage duration, their interest in the various educational contents proposed, and their level of interactivity. Patients were women with breast cancer or under remission. RESULTS: A total of 4737 patients were included. Results showed that an average of 132,970 messages exchanged per month was observed between patients and the chatbot, Vik. Thus, we calculated the average medication adherence rate over 4 weeks by using a prescription reminder function, and we showed that the more the patients used the chatbot, the more adherent they were. Patients regularly left positive comments and recommended Vik to their friends. The overall satisfaction was 93.95% (900/958). When asked what Vik meant to them and what Vik brought them, 88.00% (943/958) said that Vik provided them with support and helped them track their treatment effectively. CONCLUSIONS: We demonstrated that it is possible to obtain support through a chatbot since Vik improved the medication adherence rate of patients with breast cancer. JMIR Publications 2019-05-02 /pmc/articles/PMC6521209/ /pubmed/31045505 http://dx.doi.org/10.2196/12856 Text en ©Benjamin Chaix, Jean-Emmanuel Bibault, Arthur Pienkowski, Guillaume Delamon, Arthur Guillemassé, Pierre Nectoux, Benoît Brouard. Originally published in JMIR Cancer (http://cancer.jmir.org), 02.05.2019. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Cancer, is properly cited. The complete bibliographic information, a link to the original publication on http://cancer.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Chaix, Benjamin Bibault, Jean-Emmanuel Pienkowski, Arthur Delamon, Guillaume Guillemassé, Arthur Nectoux, Pierre Brouard, Benoît When Chatbots Meet Patients: One-Year Prospective Study of Conversations Between Patients With Breast Cancer and a Chatbot |
title | When Chatbots Meet Patients: One-Year Prospective Study of Conversations Between Patients With Breast Cancer and a Chatbot |
title_full | When Chatbots Meet Patients: One-Year Prospective Study of Conversations Between Patients With Breast Cancer and a Chatbot |
title_fullStr | When Chatbots Meet Patients: One-Year Prospective Study of Conversations Between Patients With Breast Cancer and a Chatbot |
title_full_unstemmed | When Chatbots Meet Patients: One-Year Prospective Study of Conversations Between Patients With Breast Cancer and a Chatbot |
title_short | When Chatbots Meet Patients: One-Year Prospective Study of Conversations Between Patients With Breast Cancer and a Chatbot |
title_sort | when chatbots meet patients: one-year prospective study of conversations between patients with breast cancer and a chatbot |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6521209/ https://www.ncbi.nlm.nih.gov/pubmed/31045505 http://dx.doi.org/10.2196/12856 |
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