An evaluation of cleaning practices at a teaching hospital

Am J Infect Control. 2021 Jan;49(1):40-43. doi: 10.1016/j.ajic.2020.06.187. Epub 2020 Jun 26.

Abstract

Background: The COVID-19 outbreak has highlighted the role of hospital-acquired infections in spreading epidemics. Adequately cleaning surfaces in patient rooms is an essential part of this fight to reduce the spread. Traditional audits, however, are insufficient. This study assesses surface cleaning practices using ultravoilet (UV) marker technology and the extent to which this technology can help improve cleaning audits and practices.

Methods: One hundred and forty-four audits (1,235 surfaces) were retrieved. UV-marker cleaning audits conducted at a major teaching hospital in 2018 after implementing a new cleaning protocol. In addition, semi-structured interviews were conducted with cleaning staff and supervisors.

Results: On average, 63% of surfaces were appropriately cleaned. Toilet handles (80%) and toilet seats underside (83%) scored highest while main room sink fixtures (54%), light switch (55%), and bedrails (56%) scored lowest. Training, staffing and time constraints may play a role in low cleaning rates.

Discussion: The high-touch patient surfaces in the bedroom remain neglected and a potential source of infections. UV marker audits provided an objective measure of cleaning practices that managers and staff were unaware of.

Conclusions: UV-markers audits can play a key role in revealing deficiencies in cleaning practices and help in raising awareness of these deficiencies and improving cleaning practices.

Keywords: Audit; COVID-19; Environmental cleaning; Infection control; Patient room; Surface cleaning; UV marker.

MeSH terms

  • Bathroom Equipment
  • Beds
  • COVID-19
  • Cross Infection / prevention & control*
  • Disinfection / standards
  • Disinfection / statistics & numerical data*
  • Equipment Contamination / prevention & control*
  • Hospital Units
  • Hospitals, Teaching
  • Housekeeping, Hospital
  • Humans
  • Infection Control / standards
  • Infection Control / statistics & numerical data*
  • Patients' Rooms*
  • Personnel, Hospital
  • SARS-CoV-2
  • Time Factors
  • Ultraviolet Rays
  • Workload