Staffing and Capacity Planning for SARS-CoV-2 Monoclonal Antibody Infusion Facilities: A Performance Estimation Calculator Based on Discrete-Event Simulations

This study uses simulation to help plan staffing and capacity for COVID-19 monoclonal antibody infusion sites. It shows that bottlenecks are not just about nurses – check-in staff, physical space, and infusion time also strongly affect performance. Adding check-in staff can improve flow more than adding nurses in larger sites, and scheduled appointments work better than walk-ins when demand is manageable. Shortening infusion or preparation time can greatly reduce delays when systems are near capacity. The study produced a web-based planning tool that helps sites test scenarios and make better staffing and resource decisions during surges.

Date published:
January 27, 2022
Citatation:
Çaglayan, Ç., Thornhill, J., Stewart, M. A., Lambrou, A. S., Richardson, D., Rainwater-Lovett, K., Freeman, J. D., Pfundt, T., & Redd, J. T. (2022). Staffing and Capacity Planning for SARS-CoV-2 Monoclonal Antibody Infusion Facilities: A Performance Estimation Calculator Based on Discrete-Event Simulations. Frontiers in Public Health, 9, 770039. https://doi.org/10.3389/fpubh.2021.770039

Evidence At A Glance


Study Type:
Quantitative
Study Design:
Simulation
Study Outcomes:
Program evaluation/quality improvement

Target Population:
Organizational leadership
Disaster Type:
Infectious disease outbreak
Intervention Target Level:
Multi-level

Intervention Area:

Surge management:
  • Medical surge