| Literature DB >> 35976810 |
Fatima Husain1, Veronica R Powys1, Eleanor White1, Roxanne Jones1, Lucy P Goldsmith2, Paul T Heath3, Pippa Oakeshott2, Mohammad Sharif Razai2.
Abstract
OBJECTIVE: To explore COVID-19 vaccination uptake, facilitators and barriers in ethnically-diverse pregnant women. DESIGN ANDEntities:
Mesh:
Substances:
Year: 2022 PMID: 35976810 PMCID: PMC9385003 DOI: 10.1371/journal.pone.0271834
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Demographic and clinical characteristics of 441 participants surveyed.
| Characteristics | Value |
|---|---|
| Age in years (n = 387), mean (range) | 32.0 (17–44) |
|
| |
| Black African/Caribbean/Black British | 9 (2.1%) |
| White British | 271 (63.6%) |
| White Other | 44 (10.3%) |
| Asian/Asian British | 77 (18.1%) |
| Mixed/multiple ethnic group | 9 (2.1%) |
| Other ethnic group | 4 (0.7%) |
| Not disclosed | 12 (2.8%) |
|
| |
| Yes | 364 (85.4%) |
| No | 52 (12.2%) |
| Not disclosed | 10 (2.3%) |
|
| |
| Hypertension | 9 (2.0%) |
| Diabetes | 18 (4.1%) |
| Asthma | 38 (8.7%) |
| Heart condition | 2 (0.5%) |
| Kidney disease | 3 (0.7%) |
| None | 299 (68.7%) |
| Other | 66 (15.2%) |
|
| |
| First Trimester | 19 (5.1%) |
| Second Trimester | 108 (28.8%) |
| Third Trimester | 248 (66.1%) |
|
| |
| 0 | 155 (38.8%) |
| 1 | 151 (37.8%) |
| 2 | 71 (17.8%) |
| 3 | 20 (5.0%) |
| 4 or more | 3 (0.8%) |
|
| |
| Yes | 60 (13.6%) |
| No | 377 (85.5%) |
| Don’t know | 4 (0.9%) |
|
| |
| First wave dates | 14 (23.3%) |
| Second wave dates | 30 (50%) |
| Third wave dates | 16 (26.7%) |
|
| |
| Yes | 20 (33.3%) |
| No | 40 (66.7%) |
|
| |
| Vaccinated | 292 (66.2%) |
| Declined | 142 (32.2%) |
| Advised against vaccination | 7 (1.6%) |
|
| |
| AstraZeneca | 55 (19.0%) |
| Pfizer | 219 (75.3%) |
| Moderna | 14 (4.8%) |
| Do not know | 3 (1.0%) |
|
| |
| First dose | 35 (12.0%) |
| Second dose | 255 (87.6%) |
| Do not know | 1 (0.3%) |
COVID-19 vaccination uptake and sources of information in pregnant women.
| Ethnicity (n = 425) | COVID-19 vaccine uptake n (%) | |
|---|---|---|
|
|
| |
| Asian or Asian British | 53 (67.9) | 25 (32.1) |
| Black/African/Caribbean/Black British | 3 (33.33) | 6 (66.67) |
| Mixed/Multiple ethnic groups | 5 (55.6) | 4 (44.4) |
| White British | 194 (71.9) | 76 (28.1) |
| White Other | 28 (63.6) | 16 (36.4) |
| Other ethnic group | 2 (66.67) | 1 (33.33) |
| Not disclosed | 4 (33.3) | 8 (66.7) |
|
| ||
|
| ||
| Concerns about baby/future pregnancies | 114 (80.3%) | |
| Lack of data on vaccines | 86 (60.6%) | |
| Concerns about vaccine safety for the mother | 63 (44.4%) | |
| Concerns about fertility | 44 (31.0%) | |
| Concerns about breastfeeding | 32 (22.5%) | |
| Previously had COVID-19 infection | 11 (7.7%) | |
| Midwife/doctor did not offer vaccines | 3 (2.1%) | |
| Other | 6 (4.2%) | |
|
| ||
| GP/Midwife | 259(60.9%) | |
| Health-related websites (e,g, NHS) | 248 (58.4%) | |
| Mainstream News organisations | 198 (46.6%) | |
| Friends and family | 153 (36.0%) | |
| Social media (e.g., Facebook, Instagram, YouTube) | 96 (22.6%) | |
|
| ||
| GP/Midwife | 186 (42.8%) | |
| Health-related websites | 170 (39.1%) | |
| Other | 45 (10.3%) | |
| Mainstream News Organisations | 15 (3.4%) | |
| Friends and family | 14 (3.2%) | |
| Social Media | 5 (1.1%) | |
*Multiple answers allowed; thus, percentages can sum to greater than 100.
Recommendations to improve COVID-19 vaccination uptake among pregnant women.
| Factors influencing uptake | Specific concerns among pregnant women | Opportunities to address this with pregnant and postnatal women | Considerations & Resources for practice: |
|---|---|---|---|
| Concerns about safety and long-term effects of COVID-19 vaccines on baby and mother | Concerns about speed of vaccine development and vaccine roll out | Explain the biological principles of vaccines and vaccination in pregnancy, the rigorous vaccination approval process, international collaboration, significant resource allocation during the pandemic | • Primary and Secondary care to ensure consistent messaging |
| • Use of trusted sources of information such as GP, midwives and obstetricians | |||
| • Utilise local community hubs, through in-reach community vaccination programme delivery | |||
| Lack of information and evidence on vaccines’ safety and effectiveness | Mixed messaging from government and healthcare bodies | Understand previous misinformation exposure in order to address concerns directly | • Training and updates for relevant staff on safety and efficacy of the vaccine. |
| Address information needs and provide data in an accessible manner | • Effective use of existing communication tools to explain risks and benefits | ||
| • For those unvaccinated and in at-risk categories, opportunity for discussion with healthcare professional who are fully informed themselves as they will likely be perceived as role models | |||
| Lack of confidence and trust in COVID-19 vaccines | Mistrust of government and healthcare professionals | Providing information from trusted Healthcare Professionals | • Building trust through healthcare professionals who have established rapport through long term relationship-based care |
| Consistent, transparent and honest explanation about the evolving nature of evidence and uncertainty | • Address the socio-economic and historic causes of mistrust especially in some ethnic minority groups | ||
| Concerns about the impact of vaccines on fertility | Exposure to misinformation about the impact of vaccines on fertility | Transparent information about risks and benefits of vaccination and explanation of data about vaccines’ safety | • Appoint Vaccine Champions to establish transparent dialogues with perinatal women |
| Communication through appropriate social media. | • Appropriate use of social media to disseminate tailored information from trusted sources such as GPs and midwives |