Understanding the Drivers of Surgical Site Infection: Investigating and Modeling the Swissnoso Surveillance Data
Last updated on July 2021Recruitment
- Recruitment Status
- Active, not recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Surgical Site Infection
- Type
- Observational
- Design
- Observational Model: OtherTime Perspective: Other
Participation Requirements
- Age
- Younger than 125 years
- Gender
- Both males and females
Description
Aim 1: Descriptive epidemiology and risk factors for (post-discharge) SSI: using the Swissnoso SSI Surveillance data, the investigators will determine patient and institution level risk factors for SSI in Switzerland (with a focus on those occurring post-discharge), explore protective factors (such ...
Aim 1: Descriptive epidemiology and risk factors for (post-discharge) SSI: using the Swissnoso SSI Surveillance data, the investigators will determine patient and institution level risk factors for SSI in Switzerland (with a focus on those occurring post-discharge), explore protective factors (such as antimicrobial prophylaxis and its timing), and describe the epidemiology of SSI in terms of time of occurrence, microbiology, severity, patient outcome, and variation by procedure type, case-mix, and hospital size. Aim 2: Determinants of SSI: The investigators will investigate determinants of SSI in the following three areas: A) The surveillance system itself and how the thoroughness of the surveillance process correlates with reported SSI rates; B) The operating room ventilation system and how its parameters correlate with SSI rates; and C) A healthcare institution's perceived culture of safety and how it correlates with infection rates. To do so, the investigators will enhance and complement the Swissnoso data with new information at the institution level. Aim 3: A mathematical model of surgical site infection: the investigators will construct a mathematical model that simulates SSI pathogenesis based on data from Swissnoso and other sources, and assesses the impact of different preventive measures. Interventions will be ranked according to the simulated reduction of SSI rates in Switzerland.
Tracking Information
- NCT #
- NCT03883009
- Collaborators
- Swiss Patient Safety Foundation
- Lucerne University of Applied Sciences and Arts
- University of Bern
- Swissnoso National Center for Infection Control
- Central Institute of Valais Hospitals
- University Hospital, Basel, Switzerland
- Swiss National Science Foundation
- Investigators
- Principal Investigator: Jonas Marschall, Prof.Dr.med. University of Bern