“…Indeed, the advice at the initial stages of the programme in the USA was that pregnant people could choose to receive the vaccine if they were in a high risk group, which evolved to they can have the vaccine, to they should get the vaccine. 2,52 Similar evolving advice was given in the UK as data accumulated. 2 This may have led to some confusion among pregnant people and may have seemed contradictory.…”
Section: Discussionmentioning
confidence: 95%
“…A better understanding for the reasons of vaccine hesitancy within this given population could inform more effective and accessible public health campaigns. Indeed, other studies have indicated that pregnant individuals state that they have access to limited information on vaccine safety and effectiveness 44,53 . The dissemination of widespread education from a wide range of communication channels, including social media outlets, in a sensitive and supportive manner, is crucial.…”
Objective
To evaluate the reasons for COVID‐19 vaccine hesitancy during pregnancy.
Design
We used regular expressions to identify publicly available social media posts from pregnant people expressing at least one reason for their decision not to accept COVID‐19 vaccine.
Setting
Two social media platforms – WhatToExpect and Twitter.
Sample
A total of 945 pregnant people in WhatToExpect (1017 posts) and 345 pregnant people in Twitter (435 tweets).
Methods
Two annotators manually coded posts according to the Scientific Advisory Group for Emergencies (SAGE) working group's 3Cs vaccine hesitancy model (confidence, complacency and convenience barriers). Within each 3Cs we created subthemes that emerged from the data.
Main Outcome Measures
Subthemes were derived according to the people's posting own words.
Results
Safety concerns were most common and largely linked to the perceived speed at which the vaccine was created and the lack of data about its safety in pregnancy. This led to a preference to wait until after the baby was born or to take other precautions instead. Complacency surrounded a belief that they are young and healthy or already had COVID‐19. Misinformation led to false safety and efficacy allegations, or even conspiracy theories, and fed into creating confidence and complacency barriers. Convenience barriers (such as availability) were uncommon.
Conclusion
The information in this study can be used to highlight the questions, fears and hesitations pregnant people have about the COVID‐19 vaccine. Highlighting these hesitations can help public health campaigns and improve communication between healthcare professionals and patients.
“…Indeed, the advice at the initial stages of the programme in the USA was that pregnant people could choose to receive the vaccine if they were in a high risk group, which evolved to they can have the vaccine, to they should get the vaccine. 2,52 Similar evolving advice was given in the UK as data accumulated. 2 This may have led to some confusion among pregnant people and may have seemed contradictory.…”
Section: Discussionmentioning
confidence: 95%
“…A better understanding for the reasons of vaccine hesitancy within this given population could inform more effective and accessible public health campaigns. Indeed, other studies have indicated that pregnant individuals state that they have access to limited information on vaccine safety and effectiveness 44,53 . The dissemination of widespread education from a wide range of communication channels, including social media outlets, in a sensitive and supportive manner, is crucial.…”
Objective
To evaluate the reasons for COVID‐19 vaccine hesitancy during pregnancy.
Design
We used regular expressions to identify publicly available social media posts from pregnant people expressing at least one reason for their decision not to accept COVID‐19 vaccine.
Setting
Two social media platforms – WhatToExpect and Twitter.
Sample
A total of 945 pregnant people in WhatToExpect (1017 posts) and 345 pregnant people in Twitter (435 tweets).
Methods
Two annotators manually coded posts according to the Scientific Advisory Group for Emergencies (SAGE) working group's 3Cs vaccine hesitancy model (confidence, complacency and convenience barriers). Within each 3Cs we created subthemes that emerged from the data.
Main Outcome Measures
Subthemes were derived according to the people's posting own words.
Results
Safety concerns were most common and largely linked to the perceived speed at which the vaccine was created and the lack of data about its safety in pregnancy. This led to a preference to wait until after the baby was born or to take other precautions instead. Complacency surrounded a belief that they are young and healthy or already had COVID‐19. Misinformation led to false safety and efficacy allegations, or even conspiracy theories, and fed into creating confidence and complacency barriers. Convenience barriers (such as availability) were uncommon.
Conclusion
The information in this study can be used to highlight the questions, fears and hesitations pregnant people have about the COVID‐19 vaccine. Highlighting these hesitations can help public health campaigns and improve communication between healthcare professionals and patients.
“…Most pregnant women at each site were unvaccinated, and rates for pregnant women were considerably lower than the overall country rates for adults (Table 3). We considered whether the lack of vaccine use among pregnant women, especially in Africa, was related to vaccine hesitancy or simply the non‐availability of vaccinations as a result of inadequate supply, poor supply distribution or a lack of trained personnel 9 . Research is currently underway to attempt to better understand these issues.…”
Section: Resultsmentioning
confidence: 99%
“…For example, on the demand side, factors such as vaccine hesitancy, concerns about vaccine safety and effectiveness, as well as cultural/religious‐related barriers might explain some of the low vaccination rates. On the vaccine supply side, issues such as the non‐availability of vaccines, distribution problems and a lack of trained personnel are likely to explain some of the low rates 9,11 …”
Section: Discussionmentioning
confidence: 99%
“…On the vaccine supply side, issues such as the non-availability of vaccines, distribution problems and a lack of trained personnel are likely to explain some of the low rates. 9,11 F I G U R E 2 Knowledge of COVID-19 symptoms, modes of transmission, measures to reduce transmission and high-risk groups, by site. Knowledge about COVID-19 vaccination is limited and highly variable among pregnant women at the Global Network sites.…”
With the paucity of data available regarding COVID‐19 in pregnancy in low‐ and middle‐income countries (LMICs), near the start of the pandemic, the Global Network for Women's and Children's Health Research, funded by the National Institute of Child Health and Human Development (NICHD), initiated four separate studies to better understand the impact of the COVID‐19 pandemic in eight LMIC sites. These sites included: four in Asia, in Bangladesh, India (two sites) and Pakistan; three in Africa, in the Democratic Republic of the Congo (DRC), Kenya and Zambia; and one in Central America, in Guatemala. The first study evaluated changes in health service utilisation; the second study evaluated knowledge, attitudes and practices of pregnant women in relationship to COVID‐19 in pregnancy; the third study evaluated knowledge, attitude and practices related to COVID‐19 vaccination in pregnancy; and the fourth study, using antibody status at delivery, evaluated changes in antibody status over time in each of the sites and the relationship of antibody positivity with various pregnancy outcomes. Across the Global Network, in the first year of the study there was little reduction in health care utilisation and no apparent change in pregnancy outcomes. Knowledge related to COVID‐19 was highly variable across the sites but was generally poor. Vaccination rates among pregnant women in the Global Network were very low, and were considerably lower than the vaccination rates reported for the countries as a whole. Knowledge regarding vaccines was generally poor and varied widely. Most women did not believe the vaccines were safe or effective, but slightly more than half would accept the vaccine if offered. Based on antibody positivity, the rates of COVID‐19 infection increased substantially in each of the sites over the course of the pandemic. Most pregnancy outcomes were not worse in women who were infected with COVID‐19 during their pregnancies. We interpret the absence of an increase in adverse outcomes in women infected with COVID‐19 to the fact that in the populations studied, most COVID‐19 infections were either asymptomatic or were relatively mild.
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