| Literature DB >> 35891203 |
Bridgette Peteet1, Valerie Watts1, Eunique Tucker1, Paige Brown1, Mariam Hanna1, Amanda Saddlemire1, Miriam Rizk1, Juan Carlos Belliard2, Jacinda C Abdul-Mutakabbir3,4, Samuel Casey5,6, Kelvin Simmons5,6.
Abstract
BACKGROUND: Blacks are dying from the novel coronavirus of 2019 (COVID-19) at disproportionate rates and tend to have more COVID-19 vaccine hesitancy than Whites. These disparities may be attributable to health knowledge and government/medical mistrust stemming from negative experiences with the medical system historically and presently (e.g., the Tuskegee Experiment, provider maltreatment).Entities:
Keywords: COVID-19; black health disparities; health belief; health inequity; medical mistrust; vaccine hesitancy
Year: 2022 PMID: 35891203 PMCID: PMC9320174 DOI: 10.3390/vaccines10071039
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
Pre- and post-survey items.
| Pre-Webinar Survey | |
|---|---|
| Item | Response Option |
| What is your age? | 18–29 |
| What is your gender? | Male |
| I am concerned that I well get COVID and require hospitalization. | Yes |
| If the COVID-19 vaccine is available today, I would get it. | Definitely YES |
| Post-Webinar Survey | |
| I personally know someone who has had COVID-19. | Yes |
| This presentation has helped me to think more about the COVID-19 vaccine. | Yes |
| The most helpful information for today’s presentation was: | [Open text] |
| If the COVID-19 vaccine is available today, I would get it. | Definitely YES |
Demographics of baseline participants (n = 104).
| Age | |
| 18–29 | 6 (5.8) |
| 30–49 | 36 (34.6) |
| 50–64 | 33 (31.7) |
| 65+ | 13 (12.5) |
| Missing | 16 (15.4) |
| Gender | |
| Female | 69 (66.3) |
| Male | 17 (16.3) |
| * Other | 2 (1.9) |
| Missing | 16 (15.4) |
* Note: Other = Other/Prefer not to answer.
Mean differences in paired samples of COVID-19 vaccine hesitancy.
|
| 95% CI |
| |||
|---|---|---|---|---|---|
| −3.08 (25) | (−0.64, −0.13) | <0.01 | 0.61 | ||
| 26 | 2.88 (1.37) | ||||
| 26 | 3.27 (1.37) |
Differences by demographic groups in baseline and follow-up COVID-19 vaccine hesitancy.
|
| 95% CI |
| ||||
|---|---|---|---|---|---|---|
| Baseline | ||||||
| Gender | 2.72 (84) | (0.26, 1.70) | 0.72 | |||
| Male | 69 | 3.88 (1.41) | ||||
| Female | 17 | 2.90 (1.32) | ||||
| Age | −1.75 (86) | (−1.10, 0.07) | 0.38 | |||
| 18–49 | 42 | 2.83 (1.36) | ||||
| 50–65+ | 46 | 3.35 (1.39) | ||||
| Follow-Up | ||||||
| Gender | 0.34 (23) | (−1.35, 1.87) | 0.17 | |||
| Male | 3 | 3.50 (1.73) | ||||
| Female | 37 | 3.24 (1.37) | ||||
| Age | −0.19 (24) | (−1.28, 1.05) | 0.08 | |||
| 18–49 | 27 | 3.20 (1.14) | ||||
| 50–65+ | 13 | 3.31 (1.54) |