[Impact of Facebook patient groups in the surgical decision making process: The example of Biocell® macro-textured implants recall]

Autor: M A, Danino, D, Giaccone, M, Abdolraziq, M, Retchkiman, L S, Paek, J S, Bou-Merhi, E, Matetsa, J, Iezzoni
Jazyk: francouzština
Rok vydání: 2020
Předmět:
Zdroj: Annales de chirurgie plastique et esthetique. 66(1)
ISSN: 1768-319X
Popis: The use of social media, has been a major upheaval in our lifestyles in the last decade. At the forefront in the crisis of BIA-ALCL, as soon as February 2019, our university centre took steps to identify and contact all patients with macro-textured implants. The purpose of this recall was to educate patients and establish a monitoring system. The purpose of this work is to analyse the patients' decision-making process.A retrospective study of patients, who requested and attended appointments with a surgeon, was made. The number of patients with clinical symptoms of BIA-ALCL, the number of patients who requested implant removal surgery, the histological diagnoses found after surgery were collected. We then calculated the proportion of Facebook group members among patients who required implant removal in the absence of a diagnosis or even warning signs.Seven hundred and seventy women requested an appointment with one of the surgeons in our department. Of all the women who requested consultation, 497 (64.55%) had symptoms. 199 patients were members or had attended one of the Facebook groups of patients. At the end of the consultation with their surgeon, almost 25% of patients made a decision to have the implant removed against medical advice. Among these patients, 67% were part of a group of patients on the Facebook network. To date, no patient has been diagnosed with BIA-ALCL.These results support the hypothesis that belonging to Facebook groups of patients becomes, for some, a key element in the decision-making process beyond expert opinion. In the future, preliminary work with patient groups on social networks should be done in order to obtain additional health efficiency.
Databáze: OpenAIRE
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