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Exploring the Impact of COVID-19 on Nurse Workload and Quality of Care via Computerized Simulation
21st Congress of the International Ergonomics Association, IEA 2021 ; 219 LNNS:767-772, 2021.
Article in English | Scopus | ID: covidwho-1252078
ABSTRACT
COVID-19 is taking a significant toll on front-line healthcare professionals - especially nurses who provide care for patients 24/7. Given the trend for higher acuity levels among the COVID-19 patients and increased infection prevention and control (IPAC) precautions, such as donning and doffing personal protective equipment (PPE), the demands on front-line healthcare professionals have changed. To understand the changes, discrete event simulation (DES) was used to quantify the effects of varying COVID-19 policies on nurse workload and quality of care. We are testing a standard nurse-patient ratio of 15 where we vary the number of COVID-19 positive patients in that mix from 1 to 5. Preliminary modeling results show as nurses were assigned to more COVID-19 positive patients, the workload of nurses increased, and quality of care deteriorated. In comparison to the baseline (pre-pandemic) case, distance walked by simulant-nurse, mental workload, direct care time, missed care, missed care delivery time and care task waiting time, increased by up to 40%, 279%, −27%, 132%, 311% and 44%, respectively. The developed approach has implications for design of the healthcare system as a whole, including pandemic planning scenarios. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Observational study Language: English Journal: 21st Congress of the International Ergonomics Association, IEA 2021 Year: 2021 Document Type: Article

Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Observational study Language: English Journal: 21st Congress of the International Ergonomics Association, IEA 2021 Year: 2021 Document Type: Article