RAPID: Collecting Supply, Demand, and Matching Data for Assigning Medical Staff to Long Term Care Facilities During the COVID-19 Pandemic
- Funded by National Science Foundation (NSF)
- Total publications:0 publications
Grant number: unknown
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Key facts
Disease
COVID-19Start & end year
20202021Known Financial Commitments (USD)
$101,413Funder
National Science Foundation (NSF)Principal Investigator
Ozlem ErgunResearch Location
United States of AmericaLead Research Institution
Northeastern UniversityResearch Priority Alignment
N/A
Research Category
Epidemiological studies
Research Subcategory
Impact/ effectiveness of control measures
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Adults (18 and older)
Vulnerable Population
Unspecified
Occupations of Interest
Health PersonnelHospital personnel
Abstract
The ongoing COVID-19 pandemic has resulted in a surge in demand and shortages of clinical and non-clinical personnel to treat patients in long term care facilities. Long term care facilities have proven to be hotspots for COVID-19 outbreaks and medical personnel in these facilities themselves faced increased risk of disease, making staffing decisions very difficult. This Rapid Response Research (RAPID) project will collect data on staffing, disease prevalence, and absenteeism from a centralized authority that oversees staffing in these facilities. These data will help support better decision support tools to dynamically match medical staff with different skills and preferences to long term care facilities on a daily basis.
Working with the the Massachusetts Executive Office of Elder Affairs, the project will collect and archive data from the long term care facility portal on daily needs for clinical and non-clinical medical staff, job applications, absenteeism rates, facility testing data, as well as qualitative information from daily state-wide phone conference status updates. The data collected as part of this project will be valuable in improving the dynamic matching process for regional staffing of long term care facilities.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Working with the the Massachusetts Executive Office of Elder Affairs, the project will collect and archive data from the long term care facility portal on daily needs for clinical and non-clinical medical staff, job applications, absenteeism rates, facility testing data, as well as qualitative information from daily state-wide phone conference status updates. The data collected as part of this project will be valuable in improving the dynamic matching process for regional staffing of long term care facilities.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.