Artificial Intelligence vs Physicians for Breast Cancer Patients' Information

NCT03556813 | Completed DMC

• 1 other identifier: INCASE0518
• Study Type: observational
• Target: 150
• Locations: 1 country
• Sites: 1

Brief Summary

Chatbots (contraction of "chat" and "robot") are a computer software program that use statistical learning and aim to simulate a conversation by text or voice message. The use of these chatbots was evaluated as part of the increase in therapeutic adherence and information on well-being and mental health. In clinical studies, chatbots are useful in gathering information through questionnaires directly submitted during conversations or through keyword analyzes. There is no longer any delay between the moment the patient notices a side effect, for example, and the moment when the patient announces it during a consultation. The responses given by the chatbot do not constitute medical advice and only provide information on the treatments envisaged or in progress in the context of the management of breast cancer. The main objective of the study is to show that the chatbot Vik's answers to the common questions asked by breast cancer patients about their therapeutic management are at least as satisfactory as answers given by a committee of multidisciplinary doctors

Conditions

Breast Cancer

Keywords

Patient information; Natural Language Processing; Conversational agent; Chatbot

Outcome Measures

Primary Outcomes (1)

• Quality of Patient information

  The quality of the participating patient's information about their disease and their treatment will be assessed using the standardized EORTC QLQ-INFO25 survey.

  Through study completion, an average of 3 months

Study Arms (2)

Group Vik

women over the age of 18 with breast cancer or remission

Other: survey

Group physicians

women over the age of 18 with breast cancer or remission

Other: survey

Interventions

survey OTHER

non-inferiority study, randomized, blind, excluding health product, with no risk or constraint, in which all the acts are performed in the usual way and do not modify the patient's management.

Group Vik; Group physicians

Eligibility Criteria

• Age: 18 Years+
• Sex: female
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Women with breast cancer or in remission

You may qualify if:

• over 18 years
• paitents with breast cancer

You may not qualify if:

• Patient unable to formulate his opposition
• Patient with cancer other than breast cancer

Sponsors & Collaborators

• Wefight: lead

Study Sites (1)

Wefight

Montpellier, 34000, France

Location

Related Publications (1)

• Bibault JE, Chaix B, Guillemasse A, Cousin S, Escande A, Perrin M, Pienkowski A, Delamon G, Nectoux P, Brouard B. A Chatbot Versus Physicians to Provide Information for Patients With Breast Cancer: Blind, Randomized Controlled Noninferiority Trial. J Med Internet Res. 2019 Nov 27;21(11):e15787. doi: 10.2196/15787.

  PMID: 31774408 DERIVED

MeSH Terms

Conditions

Breast Neoplasms

Interventions

Surveys and Questionnaires

Condition Hierarchy (Ancestors)

Neoplasms by Site; Neoplasms; Breast Diseases; Skin Diseases; Skin and Connective Tissue Diseases

Intervention Hierarchy (Ancestors)

Data Collection; Epidemiologic Methods; Investigative Techniques; Health Care Evaluation Mechanisms; Quality of Health Care; Health Care Quality, Access, and Evaluation; Public Health; Environment and Public Health

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: INDUSTRY
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: May 31, 2018
• First Posted: June 14, 2018
• Study Start: November 1, 2018
• Primary Completion: December 1, 2018
• Study Completion: January 20, 2019
• Last Updated: April 25, 2019

Record last verified: 2019-04

Data Sharing

• IPD Sharing: Will not share

Locations

FR (1)