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

Continuing Medical Education (CME) for Doctors (111) e-Learning and Medical Education (526) Testing and Assessment in Medical Education (26) Doctor-Patient Communication on Cancer, Prevention, and Screening (38)

Published on in Vol 4 , No 2 (2018) :Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9551, first published .
Development of a Web-Based Formative Self-Assessment Tool for Physicians to Practice Breaking Bad News (BRADNET)

Development of a Web-Based Formative Self-Assessment Tool for Physicians to Practice Breaking Bad News (BRADNET)

Development of a Web-Based Formative Self-Assessment Tool for Physicians to Practice Breaking Bad News (BRADNET)

Authors of this article:

Anne-Christine Rat 1, 2, 3 Author Orcid Image ;   Laetitia Ricci 3, 4 Author Orcid Image ;   Francis Guillemin 1, 3 Author Orcid Image ;   Camille Ricatte 4 Author Orcid Image ;   Manon Pongy 4 Author Orcid Image ;   Rachel Vieux 1, 5 Author Orcid Image ;   Elisabeth Spitz 4 Author Orcid Image ;   Laurent Muller 4 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

Journals

  1. Gordillo Navas G, Trujillo Martínez J, Filizzola Bermúdez J. Estrategia de simulación para aplicar el protocolo SPIKES en la comunicación de malas noticias. Universitas Médica 2020;61(3) View
  2. Thiessen M, Sinclair S, Tang P, Raffin Bouchal S. Information Access and Use by Patients With Cancer and Their Friends and Family: Development of a Grounded Theory. Journal of Medical Internet Research 2020;22(10):e20510 View
  3. Sleiman J, Savage D, Switzer B, Colbert C, Chevalier C, Neuendorf K, Harris D. Teaching residents how to break bad news: piloting a resident-led curriculum and feedback task force as a proof-of-concept study. BMJ Simulation and Technology Enhanced Learning 2021;7(6):568 View
  4. Ricci L, Villegente J, Loyal D, Ayav C, Kivits J, Rat A. Tailored patient therapeutic educational interventions: A patient‐centred communication model. Health Expectations 2022;25(1):276 View
  5. Ricci L, Toussaint Y, Becker J, Najjar H, Renier A, Choukour M, Buisson A, Devos C, Epstein J, Peyrin Biroulet L, Guillemin F. Web-based and machine learning approaches for identification of patient-reported outcomes in inflammatory bowel disease. Digestive and Liver Disease 2022;54(4):483 View