Attitudes, risk of infection and behaviours in the operating room (the ARIBO Project): a prospective, cross-sectional study

Gabriel Birgand (1, 2) , Christine Azevedo Coste (3) , Gaëlle Toupet (1, 2) , Roger Pissard-Gibollet (4) , Bruno Grandbastien (5) , Eric Fleury (6, 7) , Jean-Christophe Lucet (2)

1 IAME (UMR_S_1137 / U1137) - Infection, Anti-microbiens, Modélisation, Evolution
2 Infection Control Unit [Paris]
3 DEMAR - Artificial movement and gait restoration
4 SED [Grenoble] - Service Expérimentation et Développement
5 Service d'Epidémiologie et de Santé Publique [Lille]
6 DANTE - Dynamic Networks : Temporal and Structural Capture Approach
7 IXXI - Institut Rhône-Alpin des systèmes complexes

Introduction: Inappropriate staff behaviours can lead to environmental contamination in the operating room (OR) and subsequent surgical site infection (SSI). This study will focus on the continued assessment of OR staff behaviours using a motion tracking system and their impact on the SSI risk during surgical procedures. Methods and analysis: This multicentre prospective cross-sectional study will include 10 ORs of cardiac and orthopaedic surgery in 12 healthcare facilities (HCFs). The staff behaviour will be assessed by an objective, continued and prolonged quantification of movements within the OR. A motion tracking system including eight optical cameras (VICON-Bonita) will record the movements of reflective markers placed on the surgical caps/hoods of each person entering the room. Different configurations of markers positioning will be used to distinguish between the staff category. Doors opening will be observed by means of wireless inertial sensors fixed on the doors and synchronised with the motion tracking system. We will collect information on the OR staff, surgical procedures and surgical environment characteristics. The behavioural data obtained will be compared (1) to the 'best behaviour rules' in the OR, pre-established using a Delphi method and (2) to surrogates of the infectious risk represented by microbiological air counts, particle counts, and a bacteriological sample of the wound at closing. Statistics will be performed using univariate and multivariate analysis to adjust on the aerolic and architectural characteristics of the OR. A multilevel model will allow including surgical specialty and HCFs effects. Through this study, we will develop an original approach using high technology tools associated to data processing techniques to evaluate 'automatically' the behavioural dynamics of the OR staff and their impact on the SSI risk. Ethics and dissemination: Approbation of the Institutional Review Board of Paris North Hospitals, Paris 7 University, AP-HP (no 11-113, 6 April 2012). The findings will be disseminated through peer- reviewed journals, and national and international conference presentations.

Domaines: Sciences de l'ingénieur [physics]

Gabriel Birgand, Christine Azevedo Coste, Gaëlle Toupet, Roger Pissard-Gibollet, Bruno Grandbastien, et al.. Attitudes, risk of infection and behaviours in the operating room (the ARIBO Project): a prospective, cross-sectional study. BMJ Open, 2014, 4, pp.e004274. ⟨10.1136/bmjopen-2013-004274⟩. ⟨lirmm-00916840⟩