Razai Mohammad S, Ussher Michael, Goldsmith Lucy, Hargreaves Sally, Oakeshott Pippa
Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
St George's School of Health and Medical Sciences, Population Health Research Institute, City St George's, University of London, London, United Kingdom.
PLoS One. 2025 Jan 31;20(1):e0310823. doi: 10.1371/journal.pone.0310823. eCollection 2025.
Vaccination during pregnancy is crucial for safeguarding maternal and neonatal health, but vaccination rates remain suboptimal, especially in women from Black and Asian ethnic minorities. We explored the perspectives and decision-making processes of pregnant women regarding uptake of the three recommended vaccines in pregnancy: Influenza, Pertussis (whooping cough) and COVID-19. We also explored women's attitudes to taking part in vaccine trials during pregnancy and the use of artificial intelligence (AI) to obtain information on vaccines.
In 2023, we conducted in-depth telephone interviews with ethnically diverse pregnant women in the Greater London area using convenience and snowball sampling. The interviews focused on participants' views on vaccination during pregnancy, participation in vaccine trials, information-seeking behaviours, and attitudes to emerging technologies for health information. Interviews were transcribed verbatim and thematically analysed. The data collection and analysis were conducted alongside the iterative development of the topic guide and coding framework, with key themes emerging through collaborative team discussions.
Twenty one pregnant women aged 20-39 were interviewed of whom 67% were from ethnic minorities and 29% were from migrant backgrounds. Half the participants (53%) reported hesitancy towards at least one of the vaccines. The analysis revealed several themes: concerns about vaccine safety, particularly regarding newer vaccines due to lack of long-term data; reliance on healthcare professionals for guidance, balanced with personal research; and a strong desire for clear and comprehensive information specifically tailored to pregnant women. Pregnant women reported insufficient information, explanation, or recommendation by midwives. Additionally, there was widespread refusal regarding participation in vaccine trials; and mixed responses to the use of AI (such as chatbots) for obtaining vaccine information.
Pregnant women's vaccination decisions are complex and require clear, unambiguous communication from healthcare providers, especially midwives, to address their specific concerns. Although information obtained via AI can be useful, responses were mixed.
孕期接种疫苗对于保障母婴健康至关重要,但疫苗接种率仍不理想,尤其是在黑人和亚裔少数族裔女性中。我们探讨了孕妇对于孕期三种推荐疫苗(流感疫苗、百日咳疫苗和新冠疫苗)接种的观点和决策过程。我们还探讨了女性对于孕期参与疫苗试验以及使用人工智能(AI)获取疫苗信息的态度。
2023年,我们采用便利抽样和滚雪球抽样的方法,对大伦敦地区不同种族的孕妇进行了深入的电话访谈。访谈聚焦于参与者对孕期接种疫苗的看法、参与疫苗试验的情况、信息寻求行为以及对新兴健康信息技术的态度。访谈内容逐字记录并进行了主题分析。数据收集和分析与主题指南和编码框架的迭代开发同步进行,关键主题通过团队协作讨论浮现出来。
共访谈了21名年龄在20 - 39岁的孕妇,其中67%为少数族裔,29%有移民背景。一半的参与者(53%)表示对至少一种疫苗存在犹豫。分析揭示了几个主题:对疫苗安全性的担忧,特别是对于缺乏长期数据的新型疫苗;在依赖医疗保健专业人员指导的同时,也会进行个人研究;强烈希望获得专门为孕妇量身定制的清晰、全面的信息。孕妇表示助产士提供的信息、解释或建议不足。此外,普遍拒绝参与疫苗试验;对于使用人工智能(如聊天机器人)获取疫苗信息的反应不一。
孕妇的疫苗接种决策复杂,医疗保健提供者,尤其是助产士,需要进行清晰、明确的沟通,以解决她们的具体担忧。虽然通过人工智能获得的信息可能有用,但反应不一。