Evidence map›Paper›PMID 34788889›Full record

Observational studyApplied clinical informatics2021

Rolling Up the Sleeve: Equitable, Efficient, and Safe COVID-19 Mass Immunization for Academic Medical Center Employees.

Samuel McDonald, Mujeeb A Basit, Seth Toomay, Christopher McLarty, Susan Hernandez, Chris Rubio, Bruce J Brown, Mark Rauschuber, Ki Lai, Sameh N Saleh and 3 more

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Applied clinical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 1 institution in 1 country.

Samuel McDonaldDepartment of Emergency Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, United States.
Mujeeb A BasitClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas, United States.
Seth ToomayDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, United States.
Christopher McLartyUniversity of Texas Southwestern Health System, Dallas, Texas, United States.
Susan HernandezUniversity of Texas Southwestern Health System, Dallas, Texas, United States.
Chris RubioUniversity of Texas Southwestern Health System, Dallas, Texas, United States.
Bruce J BrownUniversity of Texas Southwestern Health System, Dallas, Texas, United States.
Mark RauschuberUniversity of Texas Southwestern Health System, Dallas, Texas, United States.
Ki LaiUniversity of Texas Southwestern Health System, Dallas, Texas, United States.
Sameh N SalehClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas, United States.
DuWayne L WillettClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas, United States.
Christoph U LehmannClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas, United States.
Richard J MedfordClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas, United States.
The University of Texas Southwestern Medical Center · US

Funding

UT Southwestern Center for Translational MedicineUL1TR003163 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2021 to 2025
$39.3M
ACL HHS U01CK000590NCATS NIH HHS UL1 TR003163NCEZID CDC HHS U01 CK000590
6 · The paper itself

Abstract

backgroundNovel coronavirus disease 2019 (COVID-19) vaccine administration has faced distribution barriers across the United States. We sought to delineate our vaccine delivery experience in the first week of vaccine availability, and our effort to prioritize employees based on risk with a goal of providing an efficient infrastructure to optimize speed and efficiency of vaccine delivery while minimizing risk of infection during the immunization process.

objectiveThis article aims to evaluate an employee prioritization/invitation/scheduling system, leveraging an integrated electronic health record patient portal framework for employee COVID-19 immunizations at an academic medical center.

methodsWe conducted an observational cross-sectional study during January 2021 at a single urban academic center. All employees who met COVID-19 allocation vaccine criteria for phase 1a.1 to 1a.4 were included. We implemented a prioritization/invitation/scheduling framework and evaluated time from invitation to scheduling as a proxy for vaccine interest and arrival to vaccine administration to measure operational throughput.

resultsWe allotted vaccines for 13,753 employees but only 10,662 employees with an active patient portal account received an invitation. Of those with an active account, 6,483 (61%) scheduled an appointment and 6,251 (59%) were immunized in the first 7 days. About 66% of invited providers were vaccinated in the first 7 days. In contrast, only 41% of invited facility/food service employees received the first dose of the vaccine in the first 7 days (

conclusionWe developed a system of early COVID-19 vaccine prioritization and administration in our health care system. We saw strong early acceptance in those with proximal exposure to COVID-19 but noticed significant difference in the willingness of different employee groups to receive the vaccine.

Indexed as

COVID-19Mass VaccinationAcademic Medical CentersCOVID-19 VaccinesCross-Sectional StudiesHumansSARS-CoV-2United StatesCOVID-19 Vaccines

Identifiers

PMID34788889
PMCPMC8598389
OpenAlexW3213455765

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.