Targeting average length of hospital stay as a control measure to decrease COVID-19 hospital-acquired infection in surgical cancer patients

Abstract

Abstract Background The global spread of coronaviruses had a great impact on the economic and social situation of most countries. As the backbone of any society, the health sector made a significant contribution through applying emergency risk management plans in order to control the pandemic. Monitoring the average length of hospital stay (ALOS) was an effective way to release the capacity of the health system during this time. The aim was to evaluate the effect of applying risk assessment/management strategies on ALOS and the impact of this ALOS on COVID-19 infection rates among cancer patients. Methods This is a prospective cohort study. All admitted cancer patients in 6 surgical departments from January to June 2021 were included. Results A total of 1287 patients were admitted to 6 surgical departments during the selected period. About 46% of them had surgery (n = 578), while 54% did not have surgery (n = 700). Among surgical patients, admission rates were highest in February and head and neck department (24% and 22.1%, respectively), and lowest in April and chest department (12.4% and 8%, respectively). ALOS was significantly different across the 6 months (p value < 0.001) with lower ALOS in (April, May, and June) than in (January–February, and March). No significant difference was found across the 6 surgical departments (p value = 0.423). Twenty-eight patients became COVID-19 positive after admission, 25 of them (89%) were infected from March to June—during the time of the third wave—and a significant decreasing linear trend (p value = 0.009) was found. Conclusion ALOS had significantly reduced with commitment to infection control (IC) interventions and recommendations. The significant decreasing trend of COVID-19 infection from March to June (unlike the rising curve of the 3rd COVID-19 wave by that time) could be explained by improvement in ALOS.