Evidence map›Paper›PMID 37443044›Full record

Trial reportImplementation science : IS2023

Scaling and sustaining COVID-19 vaccination through meaningful community engagement and care coordination for underserved communities: hybrid type 3 effectiveness-implementation sequential multiple assignment randomized trial.

Borsika A Rabin, Kelli L Cain, Paul Watson, William Oswald, Louise C Laurent, Audra R Meadows, Marva Seifert, Fatima A Munoz, Linda Salgin, Jeannette Aldous and 5 more

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Implementation science : IS, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05841810 (Scaling and Sustaining COVID-19 Vaccination Through Meaningful Community Engagement and Care Coordination for Underserved Communities), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
14.9field-weighted citation impact, top 1% 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.

NCT05841810 naactive not recruitingnot on this mapstarted 2024, after this paper: background citation

Scaling and Sustaining COVID-19 Vaccination Through Meaningful Community Engagement and Care Coordination for Underserved Communities

TypeinterventionalSponsorUniversity of California, San DiegoRan2024 to 2027Enrolled398ConditionsCOVID-19ArmsmHealth Outreach, Care Coordination
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

15 authors at 6 institutions in 2 countries.

Borsika A RabinHerbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA. barabin@health.ucsd.edu.ORCID 0000-0001-9837-7866
Kelli L CainHerbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA.
Paul WatsonThe Global Action Research Center, San Diego, CA, USA.
William OswaldThe Global Action Research Center, San Diego, CA, USA.
Louise C LaurentDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA.
Audra R MeadowsDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA.
Marva SeifertDepartment of Medicine, University of California San Diego, La Jolla, CA, USA.
Fatima A MunozSan Ysidro Health, San Diego, CA, USA.
Linda SalginSan Ysidro Health, San Diego, CA, USA.
Jeannette AldousSan Ysidro Health, San Diego, CA, USA.
Edgar A DiazSan Ysidro Health, San Diego, CA, USA.
Miguel VillodasDepartment of Psychology, San Diego State University, CA, San Diego, USA.
Santosh VijaykumarDepartment of Psychology, Northumbria University, Newcastle Upon Tyne, UK.
Sean T O'LearyDepartment of Pediatrics-Infectious Diseases, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Nicole A StadnickDissemination and Implementation Science Center, University of California San Diego Altman Clinical and Translational Research Institute, La Jolla, CA, USA.
University of California San Diego · USSan Ysidro Health · USCenter for Effective Global Action · USNorthumbria University · GBSan Diego State University · USUniversity of Colorado Anschutz Medical Campus · US

Funding

Scaling and Sustaining COVID-19 Vaccination through Meaningful Community Engagement and Care Coordination for Underserved CommunitiesR01MD017222 · NIMHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Adrienn Borsika Rabin, Nicole A Stadnick · 2022 to 2026
$2.8M
NIMHD NIH HHS R01 MD017222
6 · The paper itself

Abstract

backgroundCOVID-19 inequities are abundant in low-income communities of color. Addressing COVID-19 vaccine hesitancy to promote equitable and sustained vaccination for underserved communities requires a multi-level, scalable, and sustainable approach. It is also essential that efforts acknowledge the broader healthcare needs of these communities including engagement in preventive services.

methodsThis is a hybrid type 3 effectiveness-implementation study that will include a multi-level, longitudinal, mixed-methods data collection approach designed to assess the sustained impact of a co-created multicomponent strategy relying on bidirectional learning, shared decision-making, and expertise by all team members. The study capitalizes on a combination of implementation strategies including mHealth outreach with culturally appropriate messaging, care coordination to increase engagement in high priority preventive services, and the co-design of these strategies using community advisory boards led by Community Weavers. Community Weavers are individuals with lived experience as members of an underserved community serving as cultural brokers between communities, public health systems, and researchers to co-create community-driven, culturally sensitive public health solutions. The study will use an adaptive implementation approach operationalized in a sequential multiple assignment randomized trial design of 300 participants from three sites in a Federally Qualified Health Center in Southern California. This design will allow examining the impact of various implementation strategy components and deliver more intensive support to those who benefit from it most. The primary effectiveness outcomes are COVID-19 vaccine completion, engagement in preventive services, and vaccine confidence. The primary implementation outcomes are reach, adoption, implementation, and maintenance of the multicomponent strategy over a 12-month follow-up period. Mixed-effects logistic regression models will be used to examine program impacts and will be triangulated with qualitative data from participants and implementers. DISCUSSION: This study capitalizes on community engagement, implementation science, health equity and communication, infectious disease, and public health perspectives to co-create a multicomponent strategy to promote the uptake of COVID-19 vaccination and preventive services for underserved communities in San Diego. The study design emphasizes broad engagement of our community and clinic partners leading to culturally sensitive and acceptable strategies to produce lasting and sustainable increases in vaccine equity and preventive services engagement.

trial registrationClinicalTrials.gov Identifier: NCT05841810 May 3, 2023.

Indexed as

COVID-19COVID-19 VaccinesDelivery of Health CareHealth ServicesHumansVaccinationCOVID-19 VaccinesCare coordinationCOVID-19Health equityHybrid type 3 effectiveness-implementation studyImplementation sciencemHealthSequential multiple assignment randomized trialUnderserved communitiesVaccination

Identifiers

PMID37443044
PMCPMC10347705
OpenAlexW4384153547

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.