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.
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.
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.
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.
Scaling and Sustaining COVID-19 Vaccination Through Meaningful Community Engagement and Care Coordination for Underserved Communities
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- A systematic review of experimentally tested implementation strategies across health and human service settings: evidence from 2010-2022.Implementation science : IS · 2024Pooled it
- Household and Community Clustering of Concurrent Vaccine Hesitancy in China: Multicenter Survey.JMIR public health and surveillance · 2026Article
- Using multi-method approaches to document and assess adaptations in a community-driven COVID-19 testing program.Implementation science communications · 2026Article
- A review of use of external data and update on reporting standards in Sequential Multiple-Assignment Randomised Trials.Clinical trials (London, England) · 2026Review
- Illustrating Key Components to Co-Creation Through Preventive Care mHealth Messaging with Underserved Communities and Expert Partners.Journal of medical systems · 2025Article
- Understanding adaptations in a community-vetted COVID-19 testing program.Frontiers in health services · 2025Article
- Connect, collaborate and tailor: a model of community engagement through infographic design during the COVID-19 pandemic.BMC public health · 2024Article
- Strategies to Enhance COVID-19 Vaccine Uptake among Prioritized Groups, Uganda-Lessons Learned and Recommendations for Future Pandemics.Emerging infectious diseases · 2024Review
- Empowering Women's Health: Insights Into HPV Vaccination and the Prevention of Invasive Cervical Cancer.Cureus · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 6 institutions in 2 countries.
Funding
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.
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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.