Safe Handling of Patient Gowns During the COVID-19 Pandemic: An Intelligent System for Patients With Cancer Undergoing Daily Radiotherapy

Anticancer Res. 2023 Jul;43(7):3213-3224. doi: 10.21873/anticanres.16495.

Abstract

Background/aim: Nosocomial infection is a substantial clinical, societal and economic burden, especially during the COVID-19 pandemic. Patients with cancer are required to change into patient gowns before receiving radiotherapy. To improve efficiency and infection control, we designed novel intelligent devices for both gown distribution and recycling. We conducted a pilot study to provide evidence for the device in healthcare quality improvement.

Materials and methods: We designed and set up intelligent machines with an infrared sensor for patient gown distribution and recycling. The performance of these machines was assessed by questionnaire survey of patients' perceptions and handling by laundry personnel.

Results: We composed a questionnaire to measure patient/personnel satisfaction upon gown handling based on the existing data of our hospital. Two generations of patient gown distribution machines were introduced. One was the novel automated device for both gown distribution and recycling. The other one was the conventional wooden cabinets and/or hamper stands with foot pedals. Survey results showed that approximately 90% satisfaction was achieved with the automated machines. Overall satisfaction with the new soiled gown recycling machines was significantly higher than that with the conventional receptacles (p<0.01).

Conclusion: The automated patient gown distribution machines safely and efficiently provide patients with suitable gowns. The automated patient gown recycling machine reduces contamination of the gown recycling area. Using these machines improves infection control in the hospital environment and effectively reduces the risk of nosocomial infection.

Keywords: Automated gown handling system; automatic recycling machine; infection control; radiotherapy; soiled hospital gowns.

MeSH terms

  • COVID-19* / epidemiology
  • Cross Infection* / prevention & control
  • Humans
  • Neoplasms* / radiotherapy
  • Pandemics
  • Pilot Projects