Strategies That Promote Equity in COVID-19 Vaccine Uptake for Black Communities: a Review
Bibliographic record
Abstract
Black communities have had a high burden of COVID-19 cases, hospitalizations, and death, yet rates of COVID-19 vaccine uptake among Blacks lag behind other demographic groups. This has been due in part to vaccine hesitancy and multi-level issues around access to COVID-19 vaccines. Effective strategies to promote vaccine uptake among Black communities are needed. To perform a rapid review covering December 2020-August 2021, our search strategy used PubMed, Google, and print media with a prescribed set of definitions and search terms for two reasons: there were limited peer-reviewed studies during the early period of vaccine roll-out and real-time perspectives were crucially needed. Analyses included expert opinion, descriptions of implemented projects, and project outcomes. The strategies described in these reports largely converged into three categories: (a) addressing mistrust, (b) combatting misinformation, and (c) improving access to COVID-19 vaccines. When working to reduce hesitancy, it is important to consider messaging content, messengers, and location. To address mistrust, reports detailed the importance of communicating through trusted channels, validating the real, history- and experience-based reasons why people may be hesitant to establish common ground, and addressing racism embedded within the healthcare system. To combat misinformation, strategies included dispelling myths and answering questions through town halls and culturally intelligent outreach. Black physicians and clinicians are considered trusted messengers and partnering with community leaders such as pastors can help to reach more people. The settings of vaccination sites should be convenient and trusted such as churches, barbershops, and community sites. While a number of individual and combination efforts have been developed and implemented, data that disentangle components that are the most effective are sparse. This rapid review provides a basis for developing strategic implementation to increase COVID-19 vaccine uptake in this ongoing pandemic and planning to promote health equity for future bio-events and health crises.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.010 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".