Announcing fetal pathology: Challenges encountered by physicians and potential role of simulation in training for breaking bad news

J Gynecol Obstet Hum Reprod. 2021 Apr;50(4):102044. doi: 10.1016/j.jogoh.2020.102044. Epub 2020 Dec 17.

Abstract

Background: Informing couples about the diagnosis of severe fetal pathologies is part of the daily routine in fetal medicine. This situation is usually complex and can put untrained professionals in an uncomfortable position. The aim of this study was to assess the perception of health care professionals when faced with the need to announce a fetal pathology in order to target their training gaps in this domain.

Materials and methods: A questionnaire was created and disseminated on a national level among physicians practicing or collaborating with the multidisciplinary centers of prenatal diagnosis in France. The questionnaire focused on the difficulties encountered by practitioners when announcing fetal pathologies, and their potential interest in simulation sessions regarding the delivery of bad news.

Results: 193 participants filled the questionnaire. 65 % report not receiving any theoretical courses in this field during their initial training, 49 % admit feeling uncomfortable when a fetal anomaly needs to be announced, 79.5 % think that role-play could help them, 87.5 % believe that training sessions in communication skills would help improve their methods and 73.1 % support teaching the delivery of bad news by simulation sessions.

Conclusion: This survey illustrates the significance of announcing a fetal pathology for fetal medicine professionals. Many of them report not being properly trained to cope with this situation and would like to improve with a more practical way of teaching. Simulation would be the ideal educational tool to meet this demand.

Keywords: Announcement; Breaking bad news; Simulation; Training; Ultrasound.

MeSH terms

  • Adult
  • Attitude of Health Personnel
  • Fetus / abnormalities*
  • France
  • Gynecology / statistics & numerical data
  • Health Care Surveys / statistics & numerical data*
  • Humans
  • Middle Aged
  • Obstetrics / statistics & numerical data
  • Perinatology / education*
  • Perinatology / statistics & numerical data
  • Radiology / statistics & numerical data
  • Role Playing
  • Simulation Training*
  • Truth Disclosure*
  • Ultrasonography, Prenatal / statistics & numerical data