Influence of surgical team activity on airborne bacterial distribution in the operating room with a mixing ventilation system: a case study at St. Olavs Hospital. (October 2021)

• Record Type: Journal Article
• Authors: Annaqeeb, M.K.; Zhang, Y.; Dziedzic, J.W.; Xue, K.; Pedersen, C.; Stenstad, L.I.; Novakovic, V.; Cao, G.
• Is Part Of: Journal of hospital infection. Volume 116(2021)
• Page Start: 91
• Page End: 98
• Publication Date: 2021-10
• Subjects: Surgical site infection -- Hospital operating room -- Hospital-associated infection -- Human activity; Cross infection -- Periodicals; Cross infection -- Prevention -- Periodicals; Nosocomial infections -- Periodicals; Nosocomial infections -- Prevention -- Periodicals; Cross Infection -- Periodicals; Cross Infection -- prevention & control -- Periodicals; Infection Control -- Periodicals; Electronic journals; 614.44
• DOI: 10.1016/j.jhin.2021.08.009
• Languages: English
• ISSNs: 0195-6701

Abstract

Summary: Background: Operating rooms (ORs) have strict requirements regarding cleanliness. While existing standards concerning the ventilation and staff guidelines are theoretically sufficient to subvert the threats posed by micro-organisms within the room, there exist potential sources of contamination due to human activity around the area. Studies exploring this influence of human activity on distribution of micro-organism contamination in ORs have relied on manual observations, or indirect methods such as number of door openings. Aim : To utilize depth registration sensing technology to identify the activities of surgical staff and investigate their effect on the distribution of airborne micro-organism contamination in ORs. Methods: A mock surgical experiment was performed using a depth registration technique for the dynamic capturing of human presence and activity levels. Field measurements were carried out in one real OR to analyse its influence on the bacterial distribution in ORs with mixing ventilation system. Findings : Bacterial contamination levels tended to correlate with higher activity levels, albeit with some inconsistencies. The highest activity levels were around the surgical bed when the patient was placed, and around the instrument table during the surgical procedure. Locations with obstructions had the highest cfu densities, indicating that airflow patterns are important in such spaces. Conclusion: Our activity monitoring methods demonstrate a novel means of studying the influences of human activities in hospital rooms.