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DREAMY is a prospective, multi-centre observational cohort study using a mixed methods approach to provide quantitative and qualitative data on accidental awareness under general anaesthesia (AAGA) in obstetric surgery patients. Obstetric patients undergoing surgery, such as emergency caesarian section under general anaesthesia, are thought to be at higher risk than any other surgical cohorts for AAGA. Patients recruited to the study will be screened for AAGA using a standardised questionnaire on three occasions over 30 days. Follow up with structured interviews for all AAGA patients will occur over 12 months.
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Background: The challenges of obstetric general anaesthesia practice - including the use of rapid sequence induction, neuromuscular blockade and short duration between anaesthetic induction and start of surgery - may contribute to a higher risk of awareness under general anaesthesia (AAGA) in these patients. The 2014 Royal College of Anaesthetists/Association of Anaesthetists of Great Britain and Ireland National Audit Project 5 highlighted a higher risk of spontaneously reported AAGA in obstetric patients, but it remains unclear what the full (i.e. non-spontaneously reported) risk is. The aim of DREAMY is to establish the incidence of AAGA following general anaesthesia in obstetric surgery patients.
Methods: A standardised Brice questionnaire will be used to screen for recall of intraoperative events in women meeting the eligibility requirements. Questions asked are:
The validity of the AAGA incidence will be improved by repetition of the questionnaire on three occasions over thirty days and triangulating using structured follow up interviews in all participants reporting AAGA in questionnaire responses. Participants will be followed up over 12 months and asked for self-reported symptoms of post-traumatic stress disorder (PTSD) using the PCL-5 checklist. The research is being run as a multi-centre, descriptive study over 12 months. General condition and details of the anaesthetic procedure will also be recorded for a logistic regression analysis.
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