Evidence map›Paper›PMID 39429534›Full record

ArticlePublic health in practice (Oxford, England)2024

Mobile health clinics for distribution of vaccinations to underserved communities during health emergencies: A COVID-19 case study.

Lior Rennert, Fatih Gezer, Iromi Jayawardena, Kerry A Howard, Kevin J Bennett, Alain H Litwin, Kerry K Sease

Abstract read
In one paragraph

Article in Public health in practice (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. No Roadblocks: How Mobile Primary Care Navigates Barriers to Health Access.International journal of environmental research and public health · 2026
    Article
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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

7 authors.

Lior RennertDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
Fatih GezerDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
Iromi JayawardenaDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
Kerry A HowardDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
Kevin J BennettUniversity of South Carolina School of Medicine - Columbia, Columbia, SC, USA.
Alain H LitwinPrisma Health-Upstate, Greenville, SC, USA.
Kerry K SeaseUniversity of South Carolina School of Medicine - Greenville, Greenville, SC, USA.

Funding

Developing a dynamic modeling framework for surveillance, prediction, and real-time resource allocation to reduce health disparities during Covid-19 and future pandemicsR01LM014193 · NLM · CLEMSON UNIVERSITY · PI Lior Rennert · 2023 to 2026
$2.5M
NLM NIH HHS R01 LM014193
6 · The paper itself

Abstract

Objectives: Mobile health clinics (MHCs) effectively provide healthcare to underserved communities. However, their application during health emergencies is understudied. We described the implementation of an MHC program delivering vaccinations during the COVID-19 pandemic, examined the program's reach to medically underserved communities, and investigated characteristics of vaccination uptake in order to inform the utility of MHCs during health emergencies. Study design: The study observed COVID-19 MHC vaccination rates and factors associated with uptake between February 20th, 2021, and February 17th, 2022. Methods: Prisma Health deployed six MHCs to underserved communities. We described the characteristics of individuals who utilized the MHCs and evaluated census tract-level community factors associated with use of the MHCs through generalized linear mixed effects models. Results: The MHCs conducted 260 visits at 149 unique sites in South Carolina, providing 12,102 vaccine doses to 8545 individuals: 2890 received a partial dose, 4355 received a primary series, and 1300 received a booster dose. Among individuals utilizing the MHC, the median age was 42 years (IQR: 22-58), 44.0 % were Black, 49.2 % were male, and 44.2 % were uninsured. Black, Hispanic, and uninsured individuals were significantly more likely to utilize MHC services for COVID-19 vaccination. During periods when vaccines were limited, MHC utilization was significantly greater in communities facing access barriers to healthcare. Conclusions: The high COVID-19 vaccination uptake at MHCs demonstrated that the MHC framework is an effective and acceptable intervention among medically underserved populations during health emergencies, especially when resources are scarce. The identified factors associated with vaccination uptake demonstrated that the MHCs had the greatest impact in higher-risk communities and can be used to inform allocation of such field-level interventions in future health emergencies.

Indexed as

COVID-19Health emergenciesMobile health clinicsResource allocationUnderserved communitiesVaccination

Identifiers

PMID39429534
PMCPMC11490807

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.