Impact of using a centralized matching process on nursing home staffing.

Geriatr Nurs

COE Distinguished Professor, Department of Mechanical & Industrial Engineering, Northeastern University, Boston, MA, USA. Electronic address:

Published: January 2023

Objective: To examine the effectiveness of adopting a novel centralized matching process for reducing staff shortages in Massachusetts nursing homes during the COVID-19 pandemic.

Methods: This study involved several datasets and 216 Massachusetts nursing homes that used a novel online portal to enter demand for nursing staff from May 2020 to April 2021.

Results: There were significant associations between the staff-to-resident ratio and demand entries lagged by three and four weeks, and no significant associations between the staff-to-resident ratio and demand entries lagged by one and two weeks. In contrast, we found significant associations between the staff-to-resident ratio and the number of generated staff matches lagged by one, two and three weeks, with larger impacts overall.

Conclusion: This study shows how adopting a centralized matching process may expedite and increase improvement in the staff-to-resident ratio in nursing homes, compared with the setup in which nursing homes need to seek nurses on their own.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709370PMC
http://dx.doi.org/10.1016/j.gerinurse.2022.11.005DOI Listing

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