French hospitals treat non-elective surgery according to three organizational models: in a dedicated multi-specialty emergency operative room (OR), in a dedicated OR within a specialized surgical platform or in any available OR from a list of non-dedicated OR. Some triage algorithms for the classification of non-elective surgery have been described but are not routinely applied. The rate of delay in the management of non-elective surgery in France is not known. Reducing this delay decreased mortality and morbidity in urgent surgery (McIsaac D, et al., CMAJ 2017). Optimizing the flow of non-elective surgery represents a major challenge. The main objective of this study is to determine the rate of delay in admission to the OR in emergency surgery through a multicenter prospective observational study in France. All patients requiring urgent surgical management (\<72 hours) will be included. The ideal time for surgery was previously defined by surgeons according to the NEST classification (NEST 1: within minutes; NEST 2: \< 1 hour; NEST 3: \< 4 hours; NEST 4: \< 12 hours; NEST 5: \< 48 hours; NEST 6: \< 72 hours). For each patient, the ratio between the observed time (actual Time To Surgery \[aTTS\] ) and the ideal time (ideal Time To Surgery \[iTTS\]) will be determined. The delay is identified by aTTS/iTTS ratio \>1.
Study Type
OBSERVATIONAL
Enrollment
1,149
University hospital
Angers, France
Clinique
Antony, France
Beaujon Hospital
Clichy, France
Henri Mondor Hospital
Créteil, France
University Hospital
Grenoble, France
University hospital
Lille, France
Edouard Herriot Hospital
Lyon, France
Hôpital sud
Lyon, France
HEGP
Paris, France
University Hospital
Strasbourg, France
Incidence of OR admission delay (delay = aTTS / iTTS > 1)
hours
Time frame: 30 days
OR Admission delay according to the three organizational model
hours
Time frame: 30 days
OR Admission delay according to the period of work (day, night, and week-end)
hours
Time frame: 30 days
OR Admission delay according to the NEST classification
hours
Time frame: 30 days
delays related to organisational causes
hours
Time frame: 30 days
delays related to material causes
hours
Time frame: 30 days
delays related to human causes
hours
Time frame: 30 days
Impact of the delay on ICU length of stay
days
Time frame: 30 days
Impact of the delay on hospital length of stay
days
Time frame: 30 days
Impact of the delay on mortality
Time frame: 30 days
Impact of the delay on morbidity
Time frame: 30 days
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