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A Chatbot Versus Physicians to Provide Information for Patients With Breast Cancer: Blind, Randomized Controlled Noninferiority Trial.
Bibault, Jean-Emmanuel; Chaix, Benjamin; Guillemassé, Arthur; Cousin, Sophie; Escande, Alexandre; Perrin, Morgane; Pienkowski, Arthur; Delamon, Guillaume; Nectoux, Pierre; Brouard, Benoît.
Afiliação
  • Bibault JE; Department of Radiation Oncology, Hôpital Européen Georges Pompidou, AP-HP, Paris, France.
  • Chaix B; ENT Department, Hôpital Gui de Chauliac, Université Montpellier 1, Montpellier, France.
  • Guillemassé A; Wefight, Institut du Cerveau et de la Moelle épinière, Hôpital Pitié-Salpêtrière, Paris, France.
  • Cousin S; Wefight, Institut du Cerveau et de la Moelle épinière, Hôpital Pitié-Salpêtrière, Paris, France.
  • Escande A; Department of Medical Oncology, Institut Bergonié, Bordeaux, France.
  • Perrin M; Department of Radiation Oncology, Centre Oscar Lambret, Lille, France.
  • Pienkowski A; Department of Gynecological Oncologic Surgery, Gustave Roussy Cancer Campus, Villejuif, France.
  • Delamon G; Wefight, Institut du Cerveau et de la Moelle épinière, Hôpital Pitié-Salpêtrière, Paris, France.
  • Nectoux P; Wefight, Institut du Cerveau et de la Moelle épinière, Hôpital Pitié-Salpêtrière, Paris, France.
  • Brouard B; Wefight, Institut du Cerveau et de la Moelle épinière, Hôpital Pitié-Salpêtrière, Paris, France.
J Med Internet Res ; 21(11): e15787, 2019 11 27.
Article em En | MEDLINE | ID: mdl-31774408
ABSTRACT

BACKGROUND:

The data regarding the use of conversational agents in oncology are scarce.

OBJECTIVE:

The aim of this study was to verify whether an artificial conversational agent was able to provide answers to patients with breast cancer with a level of satisfaction similar to the answers given by a group of physicians.

METHODS:

This study is a blind, noninferiority randomized controlled trial that compared the information given by the chatbot, Vik, with that given by a multidisciplinary group of physicians to patients with breast cancer. Patients were women with breast cancer in treatment or in remission. The European Organisation for Research and Treatment of Cancer Quality of Life Group information questionnaire (EORTC QLQ-INFO25) was adapted and used to compare the quality of the information provided to patients by the physician or the chatbot. The primary outcome was to show that the answers given by the Vik chatbot to common questions asked by patients with breast cancer about their therapy management are at least as satisfying as answers given by a multidisciplinary medical committee by comparing the success rate in each group (defined by a score above 3). The secondary objective was to compare the average scores obtained by the chatbot and physicians for each INFO25 item.

RESULTS:

A total of 142 patients were included and randomized into two groups of 71. They were all female with a mean age of 42 years (SD 19). The success rates (as defined by a score >3) was 69% (49/71) in the chatbot group versus 64% (46/71) in the physicians group. The binomial test showed the noninferiority (P<.001) of the chatbot's answers.

CONCLUSIONS:

This is the first study that assessed an artificial conversational agent used to inform patients with cancer. The EORTC INFO25 scores from the chatbot were found to be noninferior to the scores of the physicians. Artificial conversational agents may save patients with minor health concerns from a visit to the doctor. This could allow clinicians to spend more time to treat patients who need a consultation the most. TRIAL REGISTRATION Clinicaltrials.gov NCT03556813, https//tinyurl.com/rgtlehq.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Relações Médico-Paciente / Qualidade de Vida / Interface Usuário-Computador / Neoplasias da Mama Tipo de estudo: Clinical_trials / Qualitative_research Limite: Adult / Female / Humans Idioma: En Revista: J Med Internet Res Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Relações Médico-Paciente / Qualidade de Vida / Interface Usuário-Computador / Neoplasias da Mama Tipo de estudo: Clinical_trials / Qualitative_research Limite: Adult / Female / Humans Idioma: En Revista: J Med Internet Res Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: França