Grace E Pryor1, Kelsea Marble2, Ferdinand T Velasco3, Christoph U Lehmann1,4,5,6, Mujeeb A Basit4,7. 1. Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, United States. 2. Department of Ambulatory Operations, University of Texas Southwestern Medical Center, Dallas, Texas, United States. 3. Department of Health Informatics, Texas Health Resources, Dallas, Texas, United States. 4. Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas, United States. 5. Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, United States. 6. Lyda Hill Department of Biostatistics, University of Texas Southwestern Medical Center, Dallas, Texas, United States. 7. Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, United States.
Abstract
BACKGROUND: Despite the recent emergency use authorization of two vaccines for the prevention of the 2019 novel coronavirus (COVID-19) disease, vaccination rates are lower than expected. Vaccination efforts may be hampered by supply, delivery, storage, patient prioritization, administration infrastructure or logistics problems. To address the last issue, our institution is sharing publically a calculator to optimize the management of staffing and facility resources in an outpatient mass vaccination effort. OBJECTIVE: By sharing our calculator locally and through this paper, we aim to help health organizations administering vaccines optimize resource allocation while maximizing efficiency. METHODS: Our calculator determines the maximum number of vaccinations that can be administered per hour, the number of check-in staff (clerks) needed, the number of vaccination staff (nurses) needed, and the required room capacity needed for the vaccination and the mandatory 15-minute observation period after inoculation. RESULTS: We provide a functional version of the calculator, allowing users to replicate the calculation for their own vaccine events. CONCLUSION: An efficient and organized vaccination program is critical to halting the spread of COVID-19. By sharing this calculator, it is our hope that other organizations may use it to facilitate rapid and efficient vaccination. Thieme. All rights reserved.
BACKGROUND: Despite the recent emergency use authorization of two vaccines for the prevention of the 2019 novel coronavirus (COVID-19) disease, vaccination rates are lower than expected. Vaccination efforts may be hampered by supply, delivery, storage, patient prioritization, administration infrastructure or logistics problems. To address the last issue, our institution is sharing publically a calculator to optimize the management of staffing and facility resources in an outpatient mass vaccination effort. OBJECTIVE: By sharing our calculator locally and through this paper, we aim to help health organizations administering vaccines optimize resource allocation while maximizing efficiency. METHODS: Our calculator determines the maximum number of vaccinations that can be administered per hour, the number of check-in staff (clerks) needed, the number of vaccination staff (nurses) needed, and the required room capacity needed for the vaccination and the mandatory 15-minute observation period after inoculation. RESULTS: We provide a functional version of the calculator, allowing users to replicate the calculation for their own vaccine events. CONCLUSION: An efficient and organized vaccination program is critical to halting the spread of COVID-19. By sharing this calculator, it is our hope that other organizations may use it to facilitate rapid and efficient vaccination. Thieme. All rights reserved.
Authors: Rebecca L Weintraub; Laura Subramanian; Ami Karlage; Iman Ahmad; Julie Rosenberg Journal: Health Aff (Millwood) Date: 2020-11-19 Impact factor: 6.301
Authors: Samuel McDonald; Mujeeb A Basit; Seth Toomay; Christopher McLarty; Susan Hernandez; Chris Rubio; Bruce J Brown; Mark Rauschuber; Ki Lai; Sameh N Saleh; DuWayne L Willett; Christoph U Lehmann; Richard J Medford Journal: Appl Clin Inform Date: 2021-11-17 Impact factor: 2.342