Literature DB >> 35476258

COVID-19 vaccine uptake and intention during pregnancy in Canada.

Laura Reifferscheid1, Emmanuel Marfo1, Ali Assi1, Eve Dubé2,3, Noni E MacDonald4, Samantha B Meyer5, Julie A Bettinger6, S Michelle Driedger7, Joan Robinson8, Manish Sadarangani6,9, Sarah E Wilson10,11,12, Karen Benzies13, Samuel Lemaire-Paquette14, Arnaud Gagneur14,15, Shannon E MacDonald16.   

Abstract

OBJECTIVE: To investigate COVID-19 vaccine uptake and intent among pregnant people in Canada, and determine associated factors.
METHODS: We conducted a national cross-sectional survey among pregnant people from May 28 through June 7, 2021 (n = 193). Respondents completed a questionnaire to determine COVID-19 vaccine acceptance (defined as either received or intend to receive a COVID-19 vaccine during pregnancy), factors associated with vaccine acceptance, and rationale for accepting/not accepting the vaccine.
RESULTS: Of 193 respondents, 57.5% (n = 111) reported COVID-19 vaccine acceptance. Among those who did not accept the vaccine, concern over vaccine safety was the most commonly cited reason (90.1%, n = 73), and 81.7% (n = 67) disagreed with receiving a vaccine that had not been tested in pregnant people. Confidence in COVID-19 vaccine safety (aOR 16.72, 95% CI: 7.22, 42.39), Indigenous self-identification (aOR 11.59, 95% CI: 1.77, 117.18), and employment in an occupation at high risk for COVID-19 exposure excluding healthcare (aOR 4.76, 95% CI: 1.32, 18.60) were associated with vaccine acceptance. Perceived personal risk of COVID-19 disease was not associated with vaccine acceptance in the multivariate model.
CONCLUSION: Vaccine safety is a primary concern for this population. Safety information should be communicated to this population as it emerges, along with clear messaging on the benefits of vaccination, as disease risk is either poorly understood or poorly valued in this population.
© 2022. The Author(s).

Entities:  

Keywords:  COVID-19; Immunization; Intention; Pandemic; Pregnancy; Uptake; Vaccination

Mesh:

Substances:

Year:  2022        PMID: 35476258      PMCID: PMC9045023          DOI: 10.17269/s41997-022-00641-9

Source DB:  PubMed          Journal:  Can J Public Health        ISSN: 0008-4263


Introduction

Pregnant people who become infected with the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are at increased risk of morbidity and mortality from COVID-19 illness compared to non-pregnant persons (Allotey et al., 2020). Adverse outcomes include preeclampsia and preterm birth (Wei et al., 2021). As of November 2021, over 8500 pregnant people have tested positive for COVID-19 in Canada (Reproductive Infectious Diseases Program, 2021), with reports from some Canadian provinces showing increased hospitalizations and admissions to intensive care units in this population compared to non-pregnant peers (Money et al., 2021). In Canada, the first COVID-19 vaccine (an mRNA vaccine) became available during the week of December 13, 2020 (Government of Canada, 2021a) but recommendations for vaccine use during pregnancy have varied. Initial guidance from Canada’s National Advisory Committee on Immunization (NACI) on December 12, 2020, advised that pregnant people should not be offered COVID-19 vaccination unless individual benefits were deemed to outweigh risks (Government of Canada, 2021b). One month later, NACI updated its guidelines to recommend offering COVID-19 vaccination to pregnant people, following appropriate counselling to ensure informed decision-making (Government of Canada, 2021b). In April 2021, an observational study of more than 35,000 pregnant people who had received COVID-19 mRNA vaccines indicated no safety concerns (Shimabukuro et al., 2021). On May 3, 2021, NACI published a recommendation indicating pregnant people should preferentially receive a COVID-19 mRNA vaccine (labelled as discretionary, indicating alternative approaches may be reasonable in some circumstances) (Government of Canada, 2021b). This was updated to a strong recommendation on May 28, indicating that clear and compelling evidence is required for an alternative approach (Government of Canada, 2021b). Given the risk to the population and changing guidelines, it is important to understand COVID-19 vaccine acceptance, both intention to receive the vaccine and vaccine uptake behaviour, among pregnant people in Canada. Research from other high-income countries conducted earlier in the pandemic, before COVID-19 vaccines were widely available, indicated that intention to be vaccinated ranged broadly among pregnant people (Battarbee et al., 2021; Carbone et al., 2021; Ceulemans et al., 2021; Skirrow et al., 2021; Skjefte et al., 2021), likely impacted by both the stage of the pandemic (Ceulemans et al., 2021) and the country of study (Ceulemans et al., 2021; Skjefte et al., 2021). Fewer studies have reported on COVID-19 vaccine uptake among pregnant people, and little is known about COVID-19 vaccine acceptance during pregnancy in Canada. The purpose of this study is to explore COVID-19 vaccine behaviour and intent among pregnant people in Canada.

Methods

Survey design and sample

We conducted a national, cross-sectional, web-based survey from May 28 through June 7, 2021, 5 months after COVID-19 vaccines were first approved in Canada, and after NACI had recommended vaccine use during pregnancy. The survey was distributed by an established national commercial polling company (Leger, 2021), with respondents drawn from their panel of > 400,000 Canadians. The sample was representative of Canada’s provincial/territorial population distribution based on the most recent detailed census (Statistics Canada, 2021a). Criteria to participate in the study included (1) ≥ 15 years of age; (2) ability to read either English or French; (3) currently pregnant; and (4) not vaccinated against COVID-19 prior to pregnancy. To ensure rigour and validity, a unique URL was created for each participant, telephone follow-up with 15% of participants was completed for identity verification, and quality-control questions were included to identify and eliminate inattentive respondents (Eysenbach, 2004). This study was approved by the Health Research Ethics Board of the University of Alberta.

Survey and measures

Survey questions focussed on vaccine acceptance, factors that influenced acceptance, rationale for vaccine decision, and respondent sociodemographics. Survey items were developed based on published literature, previously validated questions about vaccination intention (Betsch et al., 2018), areas of focus for our policy partners (including the NACI Secretariat), and the expertise of our national team of immunization researchers and policy advisors. Prior to study initiation, the survey was reviewed by three public health experts for content validity and pilot tested for readability and usability by team members as well as a convenience sample of 20 members of the public. Our outcome variable was COVID-19 vaccine acceptance during pregnancy, defined as vaccine receipt or intention to receive while pregnant. To assess vaccine receipt, we asked respondents whether they had received any doses of COVID-19 vaccine while pregnant. Respondents who indicated they were unvaccinated were then asked to state their intention for receiving the COVID-19 vaccine. Response options included “Yes, while I am pregnant”, “Yes, but I will wait until after my baby is born”, “I am undecided”, and “No”. For analysis, responses were combined into a binary variable: the “Yes” category included those who responded they had received or intended to receive the vaccine while pregnant, with all other answers coded as “No”. In order to test the assumption that respondents who reported receiving a COVID-19 vaccine were similar in their responses to those who reported intention to receive while pregnant (i.e., our combined outcome variable), we conducted a sensitivity analysis, repeating the logistic regression after removing the participants who reported intent to receive while pregnant. Results of the sensitivity analysis indicated no difference between the two groups; thus, only results using the combined outcome variable are reported here. Exposure variables included sociodemographic characteristics (i.e., age, education level, self-reported ethnicity), self-reported chronic illness, employment occupation and status, and perceptions of COVID-19 disease and vaccine. To determine COVID-19-related perceptions, all respondents were asked to rate their level of agreement with the following statements: “I am completely confident that the COVID-19 vaccines that are available in Canada are safe” (confidence in COVID-19 vaccine safety); “Everyday stress (such as competing priorities or many demands on my time) will prevent me from getting the COVID-19 vaccine” (perceived constraints); and, “I am at risk for becoming sick from COVID-19 disease” (risk of COVID-19 disease). Responses were collected using a 5-point Likert scale and were collapsed into agree (scores of 4 and 5) or disagree/neutral (scores of 1–3) for analysis, based on natural patterns in the data, and common treatment in the literature. Respondents were asked to identify the main reasons for their vaccine decision. They were asked to rank their top three reasons from a list of choices and were given the option to provide a free-text response to explain their choice. In order to assess the impact of lack of clinical trial data for pregnant people on vaccine acceptance, respondents were asked to rate their level of agreement with receiving a COVID-19 vaccine that had not been tested in pregnant people. Response options were expressed on a 5-point Likert scale, with responses collapsed into agree (scores of 4 and 5), neutral (score of 3), and disagree (scores of 1 and 2). This question was not included in the multivariate analysis; therefore, neutral and disagree responses were reported separately.

Statistical analysis

Descriptive statistics were calculated for all variables, i.e., frequencies and percentages for categorical variables, and means and standard deviations for continuous variables. We used logistic regression to examine the association between exposure variables and COVID-19 vaccine acceptance. Exposure variables included in the multivariate model were determined a priori based on published literature and vaccine prioritization guidelines. Odds ratios (OR), adjusted odds ratios (aOR), and 95% confidence intervals (CI) were calculated, with statistical significance set at p < 0.05. The age variable met the assumption of linearity in the final model, and all variables were confirmed to provide unique information (defined as variance inflation factor < 5). “Prefer not to answer” responses were excluded from the multivariable regression analysis by listwise deletion. Descriptive analysis was completed using SPSS version 26.0 (IBM, Chicago, IL, USA) and logistic regression was completed using R version 4.0.2 (R Foundation, Vienna, AT).

Results

The national polling company identified 193 individuals in their panel who met our inclusion criteria. Due to the standard recruitment process used by the polling company, the survey response rate was unknown. COVID-19 vaccine acceptance and demographic characteristics of respondents are detailed in Table 1. A total of 111 respondents (57.5%) reported vaccine acceptance (receipt or intent to receive the vaccine during pregnancy). The remaining respondents reported they intended to receive the vaccine after pregnancy (21.8%), were undecided about receiving the vaccine (13.0%), or had no intention of receiving the vaccine (7.8%). Most respondents were from Ontario (42.5%) and Quebec (20.7%). Respondents were provided several gender identity options; all identified as women. The mean age of respondents was 31.0 years (range 18–52 years), similar to the mean maternal age in Canada (31.3 years) (Statistics Canada, 2021c). The majority identified as white (62.7%), and more than half reported some level of university education. More than 60% of respondents indicated an annual household income of > $80,000. A total of 40.4% indicated that they were employed in an occupation that was not high risk for COVID-19 exposure, and a similar proportion of respondents (39.9%) indicated full- or part-time employment in an occupation that was high risk for COVID-19 exposure (healthcare worker or other high-risk occupation). Almost 30% of respondents reported at least one chronic health condition.
Table 1

Participant characteristics (N = 193)

Variablen (%) or mean (SD)
COVID-19 vaccine receipt and intent
  Received ≥1 dose of vaccine while pregnanta93 (48.2%)
  Intends to receive vaccine while pregnanta18 (9.3%)
  Intends to receive vaccine after pregnancy42 (21.8%)
  Undecided25 (13.0%)
  No intention of receiving vaccine15 (7.8%)
Age (years)31.0 (6.2)
Location of residence
  British Columbia19 (9.8%)
  Alberta27 (14.0%)
  Prairiesb15 (7.8%)
  Ontario82 (42.5%)
  Quebec40 (20.7%)
  Atlantic provincesc10 (5.2%)
Highest level of education completed
  High school or less27 (14.0%)
  Non-university certificate or diploma (college/apprenticeship)52 (26.9%)
  University certificate, Bachelor’s degree, post-graduate degree114 (59.1%)
Household income
  < $40,00017 (8.8%)
  $40,000–$79,99948 (24.9%)
  ≥$80,000119 (61.7%)
  Prefer not to answer9 (4.7%)
Self-reported ethnicity
  White121 (62.7%)
  Visible minority or white-visible minorityd59 (30.6%)
  Indigenouse12 (6.2%)
  Prefer not to answer1 (0.5%)
Employment status
  Employed, healthcare workerf29 (15.0%)
  Employed, other high-risk occupationg48 (24.9%)
  Employed, not high riskh78 (40.4%)
  Unemployed34 (17.6%)
  Prefer not to answer4 (2.1%)
One or more chronic health conditionsi
  Yes53 (27.5%)
  No140 (72.5%)

SD, standard deviation

aCombined to produce outcome variable (vaccine acceptance)

bSaskatchewan and Manitoba

cNova Scotia, New Brunswick, Prince Edward Island, and Newfoundland and Labrador

dSelf-identified as visible minority groups (e.g., Black, Latin/Central American, Arabic/West Asian/North African, East Asian, South Asian, Other) as per Statistics Canada (2021). Visible minorities are defined as non-white and non-Indigenous (Statistics Canada, 2021b)

eSelf-identified as First Nations, Métis, or Inuk

fFull-time (35+ h/week) or part-time (< 35 h/week) employment as a healthcare worker, personal care worker, or caregiver providing care in a long-term care facility or other care facility for seniors

gFull- or part-time employment as either of: non-healthcare worker essential in managing the COVID-19 response to providing frontline care for COVID-19 patients; worker contributing to the maintenance of other essential services for the functioning of society (i.e., those who cannot work virtually and have increased exposure to COVID-19 (e.g., police, firefighters, grocery store staff, school staff))

hFull- or part-time employment in occupation that does not fit into any of the above categories

iPre-existing chronic conditions defined as severe asthma requiring medical follow-up or hospitalization, other severe chronic lung disease requiring regular medical follow-up or hospitalization (e.g., emphysema, chronic bronchitis, or cystic fibrosis), severe heart problem requiring regular medical follow-up or hospitalization (e.g., angina, heart failure, heart attack), diabetes, liver disease, chronic kidney disease, cancer or other immune system disorder, immunocompromised state from organ transplant or immune deficiencies, obesity, dementia

Participant characteristics (N = 193) SD, standard deviation aCombined to produce outcome variable (vaccine acceptance) bSaskatchewan and Manitoba cNova Scotia, New Brunswick, Prince Edward Island, and Newfoundland and Labrador dSelf-identified as visible minority groups (e.g., Black, Latin/Central American, Arabic/West Asian/North African, East Asian, South Asian, Other) as per Statistics Canada (2021). Visible minorities are defined as non-white and non-Indigenous (Statistics Canada, 2021b) eSelf-identified as First Nations, Métis, or Inuk fFull-time (35+ h/week) or part-time (< 35 h/week) employment as a healthcare worker, personal care worker, or caregiver providing care in a long-term care facility or other care facility for seniors gFull- or part-time employment as either of: non-healthcare worker essential in managing the COVID-19 response to providing frontline care for COVID-19 patients; worker contributing to the maintenance of other essential services for the functioning of society (i.e., those who cannot work virtually and have increased exposure to COVID-19 (e.g., police, firefighters, grocery store staff, school staff)) hFull- or part-time employment in occupation that does not fit into any of the above categories iPre-existing chronic conditions defined as severe asthma requiring medical follow-up or hospitalization, other severe chronic lung disease requiring regular medical follow-up or hospitalization (e.g., emphysema, chronic bronchitis, or cystic fibrosis), severe heart problem requiring regular medical follow-up or hospitalization (e.g., angina, heart failure, heart attack), diabetes, liver disease, chronic kidney disease, cancer or other immune system disorder, immunocompromised state from organ transplant or immune deficiencies, obesity, dementia Figure 1 shows the top 3 reasons for accepting the vaccine for respondents who received or intended to receive the vaccine during pregnancy. The majority of respondents cited their desire to protect their family (89.1%) or themselves from COVID-19 disease (88.2%) as motivating factors. Only 13.6% (n = 15) of respondents identified recommendation by experts and healthcare providers as a top 3 reason for receiving a vaccine. The most common reason for not accepting COVID-19 vaccination during pregnancy was a concern about the safety of the vaccine, for either self or fetus (90.1%, n = 73; Fig. 2). Eleven respondents (13.6%) indicated they did not trust vaccines in general.
Fig. 1

Main reasons for COVID-19 vaccine acceptance for the respondents who received or intended to receive the vaccine during pregnancy (N = 110). A total of four free-text answers were received. Three were reclassified into the presented choices and one was discarded as not relevant to the question

Fig. 2

Main reasons for being reluctant or undecided about receiving the COVID-19 vaccine for respondents who did not receive or intend to receive the vaccine during pregnancy (N = 81). A total of five free-text answers were received. Four were reclassified into the presented choices and one was discarded as not relevant to the question

Main reasons for COVID-19 vaccine acceptance for the respondents who received or intended to receive the vaccine during pregnancy (N = 110). A total of four free-text answers were received. Three were reclassified into the presented choices and one was discarded as not relevant to the question Main reasons for being reluctant or undecided about receiving the COVID-19 vaccine for respondents who did not receive or intend to receive the vaccine during pregnancy (N = 81). A total of five free-text answers were received. Four were reclassified into the presented choices and one was discarded as not relevant to the question Of the 193 respondents, 32.1% (n = 62) reported that they would be willing to receive a COVID-19 vaccine that had not been tested in pregnant people. Most of these respondents (93.5%, n = 58) reported vaccine acceptance, representing 54.8% (n = 51) of those who reported they had already received a COVID-19 vaccine while pregnant, and 38.9% (n = 7) of those planning to receive a COVID-19 vaccine while pregnant (Fig. 3). Approximately 51.8% of respondents (n = 100) indicated they disagreed with receiving a vaccine that had not been tested in pregnant people; 81.7% (n = 67) of these people reported they did not accept COVID-19 vaccination while pregnant. Those who disagreed with receiving a vaccine that had not been tested in pregnant people made up 73.8% (n = 31) of the group who plan to receive the COVID-19 vaccine after pregnancy, 84.0% (n = 21) of those undecided about receiving the COVD-19 vaccine, and 100% (n = 15) of those with no intention to receive a COVID-19 vaccine.
Fig. 3

Respondents’ agreement with receiving a vaccine that had not been tested in pregnant people, by self-reported COVID-19 vaccine acceptance (N = 193)

Respondents’ agreement with receiving a vaccine that had not been tested in pregnant people, by self-reported COVID-19 vaccine acceptance (N = 193) Several factors were associated with COVID-19 vaccine acceptance (Table 2). In the initial unadjusted results, employment in any occupation, concern over risk of illness from COVID-19 disease, and confidence in the safety of available COVID-19 vaccines were associated with vaccine acceptance. In the multivariate analysis, only Indigenous self-identification (compared to white self-identification; aOR 11.59, 95% CI: 1.77, 117.18), employment in an occupation at high risk for COVID-19 exposure other than healthcare (compared to unemployed; aOR 4.76, 95% CI: 1.32, 18.60), and confidence in COVID-19 vaccine safety (compared to neutral/disagree; aOR 16.72, 95% CI: 7.22, 42.39) remained significant. Sociodemographic characteristics (age, education, household income), self-reported chronic illness, and perceived access constraints were not significantly associated with vaccine acceptance in either the univariate or the multivariate regression.
Table 2

Unadjusted and adjusted logistic regression of factors associated with COVID-19 vaccine acceptance during pregnancy

VariableCOVID-19 vaccine acceptance, n (%)aCOVID-19 vaccine non-acceptance, n (%)aUnadjusted OR (95% CI)Adjustedb OR (95% CI)
Age in yearsN/AN/A1.01 (0.96, 1.06)0.94 (0.88, 1.01)
Highest level of education completed
  High school or less14 (51.9)13 (48.1)RefRef
  Non-university certificate or diploma21 (40.4)31 (59.6)0.63 (0.24, 1.60)0.27 (0.06, 1.06)
  University certificate, Bachelor’s degree, post-graduate degree76 (66.7)38 (33.3)1.86 (0.79, 4.37)1.02 (0.28, 3.57)
Household income
  < $40,0009 (52.9)8 (47.0)RefRef
  $40,000–$79,99920 (41.7)28 (58.3)0.63 (0.20. 1.94)0.68 (0.14, 3.16)
  ≥ $80,00075 (63.0)44 (37.0)1.52 (0.53, 4.24)1.39 (0.31, 6.24)
Self-identified ethnicity
  White69 (57.0)52 (43.0)RefRef
  Visible minority or white-visible minority31 (52.5)28 (47.5)0.83 (0.45, 1.56)0.68 (0.27, 1.66)
  Indigenous10 (83.3)2 (16.7)3.77 (0.94, 25.20)11.59 (1.77, 117.18)
Employment status
  Unemployed12 (35.3)22 (64.7)RefRef
  Employed, not high risk45 (57.7)33 (42.3)2.50 (1.10, 5.90)1.88 (0.58, 6.42)
  Employed, other high-risk occupation33 (68.8)15 (31.2)4.03 (1.62, 10.53)4.76 (1.32, 18.60)
  Employed, healthcare worker19 (65.5)10 (34.5)3.48 (1.26, 10.19)2.83 (0.69, 12.34)
One or more chronic health conditions
  No84 (60.0)56 (40.0)RefRef
  Yes27 (50.9)26 (49.1)0.69 (0.37, 1.31)0.78 (0.31, 1.93)
Risk of COVID-19 disease
  Neutral/disagree43 (48.3)46 (51.7)RefRef
  Agree68 (65.4)36 (34.6)2.02 (1.14, 3.63)1.11 (0.47, 2.56)
Confidence in COVID-19 vaccine safety
  Neutral/disagree24 (27.3)64 (72.7)RefRef
  Agree87 (82.9)18 (17.1)12.89 (6.59, 26.38)16.72 (7.22, 42.39)
Perceived constraints
  Neutral/disagree29 (47.5)32 (52.4)RefRef
  Agree82 (62.1)50 (37.9)1.81 (0.98, 3.36)0.80 (0.30, 2.08)

aPercent of population subgroup

bAdjusted for all other variables in the table

Unadjusted and adjusted logistic regression of factors associated with COVID-19 vaccine acceptance during pregnancy aPercent of population subgroup bAdjusted for all other variables in the table

Discussion

We conducted a national, cross-sectional survey to explore COVID-19 vaccine uptake behaviour and intention among pregnant people. A total of 193 individuals participated in our survey from May 28 through June 7, 2021, after COVID-19 vaccination during pregnancy had been recommended by NACI. We found that most pregnant people (57.5%) had received (48.2%) or intended to receive (9.3%) the COVID-19 vaccine while pregnant. These results are within the wide range of COVID-19 vaccine intention for pregnant people reported in the literature (28–62%), including results from the United Kingdom (62.1%; August–October 2020) (Skirrow et al., 2021), the United States (41%; August–December 2020) (Battarbee et al., 2021), Italy (28.2%; January 2021) (Carbone et al., 2021), and multinationally (61.4%; April–July 2020) (Ceulemans et al., 2021), (52.0%; October–November 2020) (Skjefte et al., 2021). Our results are somewhat higher than COVID-19 vaccine uptake results reported elsewhere. In a US study, only 16.3% of all pregnant people had received the COVID-19 vaccine between December 14 and May 8, 2021, though monthly coverage steadily increased during the study period (Razzaghi et al., 2021). Results from Ontario show a similar trend, with vaccine uptake increasing from approximately 0.02% in December 2020 to 38.1% in May 2021 (Better Outcomes Registry & Network Ontario, 2021). These studies used administrative data to determine vaccine uptake; in contrast, our study relied on self-report, which may overestimate coverage in this population (Poliquin et al., 2019). Confidence in vaccine safety was the most significant predictor of COVID-19 vaccine acceptance among respondents in our study, and vaccine safety concerns were the most cited reason for not accepting the COVID-19 vaccine during pregnancy. Similar results have been reported in the literature (Battarbee et al., 2021; Carbone et al., 2021; Skjefte et al., 2021), with studies conducted earlier in the pandemic identifying a lack of pregnancy-specific safety information as a barrier to positive vaccine intention (Skirrow et al., 2021). Vaccine safety concerns are almost universally reported as a barrier to vaccine uptake during pregnancy, for both routine and pandemic vaccinations (Poliquin et al., 2019). Our results indicate that a majority of those who did not accept the vaccine during pregnancy disagreed with receiving a vaccine that had not been tested in pregnant people. However, over half of those who did not accept vaccination during pregnancy reported that they planned to receive the COVID-19 vaccine after giving birth, and few indicated a negative perception of vaccines in general. These findings support the necessity of pregnancy-specific safety information about the COVID-19 vaccine for optimizing vaccine uptake in this population. Notably, a lack of pregnancy-specific information also appears to be a concern among those who reported they had already received a COVID-19 vaccine dose during pregnancy. It will be important to explore whether those who received the vaccine were simply unaware of the lack of COVID-19 vaccine safety information early in vaccine rollout, or whether emerging safety information later in the pandemic informed their vaccination decision. Regardless, in an environment where safety information is evolving, it is important that pregnant people are provided with ongoing opportunities to discuss vaccine safety, and that care providers have adequate information and techniques to support and communicate individual risk-benefit assessment. Self-protection was identified by almost 65% of respondents as their primary reason (choice 1) for accepting a COVID-19 vaccine. Motivations outside of self (protect family, protect community) were also common. Despite this, perceived personal risk was not a predictor of vaccine acceptance in the multivariate analysis, suggesting that respondents who did not accept the vaccine during pregnancy may have had a higher risk perception of the vaccine than the disease. In addition, despite the established association between chronic illness and negative COVID-19 outcomes (Public Health Agency of Canada, 2021), presence of a chronic medical condition was not associated with increased vaccine acceptance in our study. Other literature reports mixed results on the importance of personal risk in COVID-19 vaccine intentions (Battarbee et al., 2021), with one study identifying perceived personal risk as less important than general concern about COVID-19 (Skjefte et al., 2021). We did not assess whether respondents were aware of the elevated risk for negative COVID-19 outcomes during pregnancy, though given that knowledge in this area is still developing, it is likely that lack of disease risk awareness plays a role in COVID-19 vaccine acceptance. In the general adult population, risk-based messaging about COVID-19 disease appears to have little impact on those who have concerns about vaccine safety and efficacy (Motta et al., 2021). Similar results have been found regarding established vaccines in pregnant people, though messaging that emphasizes protective benefit of vaccination to the fetus may be particularly effective (Ellingson et al., 2019). In our study, employment status was significantly related to COVID-19 vaccine acceptance. Both respondents who work in the healthcare field and those who work in other occupations at higher risk for COVID-19 exposure were more likely to report COVID-19 vaccine acceptance when compared to those who were unemployed. However, employment as a healthcare worker was not statistically significant in the multivariate model. Published literature indicates mixed results on the relationship between COVID-19 vaccine intention and healthcare employment (Battarbee et al., 2021; Ceulemans et al., 2021; Skjefte et al., 2021). It is possible that early prioritization of healthcare workers may have actually hindered COVID-19 vaccine uptake among pregnant healthcare workers, as these individuals may have made decisions about vaccination very early, when little information on COVID-19 vaccine safety during pregnancy was available. However, the specific healthcare-related professions of respondents may have also impacted our results, as significant variation between different healthcare professions has been found for both COVID-19 vaccine intention (Ciardi et al., 2021) and uptake (Dzieciolowska et al., 2021). Respondents who self-identified as Indigenous were significantly more likely to report COVID-19 vaccine acceptance compared to those who identified as white in this study. Our results also indicate that COVID-19 vaccine acceptance among visible minorities was not significantly different from vaccine acceptance among white respondents. Minority race/ethnicity has been identified as a factor in lower COVID-19 vaccine intention among pregnant people in the UK (Skirrow et al., 2021), and both intention (Battarbee et al., 2021) and uptake (Razzaghi et al., 2021) in the USA; however, the impact of efforts to prioritize vaccine access among these communities is unknown. In Canada, national recommendations identified both Indigenous adults and adults in racialized and marginalized communities as priority groups for early access to COVID-19 vaccines, based on potential increased risk of exposure and/or negative health outcomes (Government of Canada, 2021c). Early in the pandemic, public health campaigns and education strategies developed by Indigenous communities, and grounded in Indigenous tradition, appeared to contribute to initially low COVID-19 case and mortality rates (Richardson & Crawford, 2020). The impact of these efforts on vaccine uptake, in combination with early prioritization, should be explored. Sociodemographic factors such as age, income, and education were not significantly related to vaccine acceptance in our study. Similar results have been found regarding intention to receive COVID-19 vaccine while pregnant (Battarbee et al., 2021; Carbone et al., 2021), though results may be country-dependent (Skirrow et al., 2021; Skjefte et al., 2021). In contrast, older maternal age, higher income, and increased education have been consistently associated with higher seasonal and pandemic influenza vaccine uptake during pregnancy (Poliquin et al., 2019; Yuen & Tarrant, 2014). Reasons for these relationships have not been well explored, though vaccine access constraints are assumed to play a role (Liu et al., 2012). Efforts to facilitate vaccination during the COVID-19 vaccine rollout may have contributed to more equitable vaccination access, thus minimizing the impact of sociodemographic factors on vaccine uptake. Given this study’s small sample size, these relationships should be explored among larger samples, with a focus on understanding the impact of different vaccination strategies on equitable access. Vaccine recommendation by a healthcare provider is extensively discussed as an important facilitator for vaccine uptake during pregnancy (Poliquin et al., 2019; Yuen & Tarrant, 2014). In our study, healthcare provider recommendation was cited as a top 3 reason for vaccine acceptance by less than 14% of respondents. Although most respondents did not identify recommendations from healthcare providers as reasons for vaccine acceptance, this may indicate that in the context of pandemic disruption, and significant public education and vaccination efforts, pregnant people who were generally positive about vaccination had less need for healthcare provider input. Evolving national recommendations and an initial lack of pregnancy-specific information on vaccine safety and effectiveness likely also impacted the willingness of maternal care providers to encourage COVID-19 vaccination for their patients (Deruelle et al., 2021). In light of the significant role vaccine safety concerns play, and indications that risk is either poorly understood or undervalued, future research should explore what patient factors determine whether healthcare provider recommendation outweighs safety concerns.

Strengths and limitations

Our study captured both COVID-19 vaccine uptake and intention among a national sample of pregnant people at a time when national guidelines recommended that COVID-19 vaccine be offered to all pregnant people. However, the small sample size and use of a pre-existing panel of individuals may limit the generalizability of our results to the broader population of pregnant women in Canada. Reliance on self-reported vaccine uptake is a potential limitation, subject to both recall and social desirability bias. However, the high-profile nature of COVID-19 vaccination means respondents were unlikely to be impacted by recall, and the online and anonymous nature of the survey likely decreases the impact of social desirability on responses. The survey excluded pregnant individuals who were vaccinated prior to pregnancy, who may have been more likely to accept the vaccine during their pregnancy. This may have resulted in an underestimation of COVID-19 vaccine acceptance, though is more likely to be a factor among groups who were prioritized very early in the vaccine rollout (e.g., healthcare workers, Indigenous peoples). Although national vaccine recommendations provide some indication of how vaccines were prioritized in Canada, program implementation decisions, including sequencing of prioritized groups, occurs at the provincial/territorial level and thus was likely subject to regional variation. Given the small sample size, we were unable to assess any regional variation in COVID-19 vaccine acceptance. Finally, the cross-sectional design of the study precludes our ability to identify any trends in vaccine acceptance with time. Given the rapidly evolving conditions of the COVID-19 pandemic, and associated vaccine information and policy, COVID-19 vaccine acceptance among this population will be subject to change.

Conclusion

In light of the evolving nature of COVID-19 vaccine safety information for this population group, it will be important to share information as it becomes available. Additional information about disease risks and vaccine safety specific to pregnancy may result in increased uptake among pregnant people, though only if used in concert with continued efforts to facilitate vaccination access. More research is required to understand the impact of prioritization for vaccination on disease risk perception, vaccine safety knowledge, and vaccine uptake. In addition, it will be important to clarify healthcare providers’ role in vaccination decision-making, particularly among those who are unsure about vaccine receipt.

Contributions to knowledge

What does this study add to existing knowledge? • Previous studies have reported on COVID-19 vaccine intention among pregnant people; our study is among the first to explore vaccination behaviour in this population. • Lower socioeconomic status and non-white self-reported ethnicity were not associated with lower vaccine acceptance in this study; public health and community efforts to encourage uptake and facilitate access may have contributed to higher uptake in these populations. • Lack of pregnancy-specific COVID-19 vaccine safety data has been highlighted as a significant concern. What are the key implications for public health interventions, practice, or policy? • Safety of the COVID-19 vaccine is a primary concern for pregnant people when deciding to receive the vaccine. As pregnant people were not included in initial clinical trials, it is important that safety information is communicated to this population as it emerges. • Safety information should be accompanied by information about the benefits of vaccination during pregnancy, as the elevated risk of COVID-19 disease in pregnancy is either poorly understood or undervalued.
  19 in total

1.  COVID-19 and the decolonization of Indigenous public health.

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Journal:  Am J Perinatol       Date:  2021-10-01       Impact factor: 1.862

3.  Vaccination patterns in pregnant women during the 2009 H1N1 influenza pandemic: a population-based study in Ontario, Canada.

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Authors:  Malia Skjefte; Michelle Ngirbabul; Oluwasefunmi Akeju; Daniel Escudero; Sonia Hernandez-Diaz; Diego F Wyszynski; Julia W Wu
Journal:  Eur J Epidemiol       Date:  2021-03-01       Impact factor: 8.082

6.  Pregnant women's perspectives on severe acute respiratory syndrome coronavirus 2 vaccine.

Authors:  Luigi Carbone; Ilenia Mappa; Angelo Sirico; Raffaella Di Girolamo; Gabriele Saccone; Daniele Di Mascio; Vera Donadono; Lara Cuomo; Olimpia Gabrielli; Sonia Migliorini; Maria Luviso; Francesco D'antonio; Giuseppe Rizzo; Giuseppe Maria Maruotti
Journal:  Am J Obstet Gynecol MFM       Date:  2021-03-23

7.  The impact of COVID-19 on pregnancy outcomes: a systematic review and meta-analysis.

Authors:  Shu Qin Wei; Marianne Bilodeau-Bertrand; Shiliang Liu; Nathalie Auger
Journal:  CMAJ       Date:  2021-03-19       Impact factor: 8.262

8.  Knowledge, Attitudes and Perceptions of COVID-19 Vaccination among Healthcare Workers of an Inner-City Hospital in New York.

Authors:  Federico Ciardi; Vidya Menon; Jamie L Jensen; Masood A Shariff; Anjana Pillai; Usha Venugopal; Moiz Kasubhai; Vihren Dimitrov; Balavenkatesh Kanna; Brian D Poole
Journal:  Vaccines (Basel)       Date:  2021-05-17

9.  Improving the quality of Web surveys: the Checklist for Reporting Results of Internet E-Surveys (CHERRIES).

Authors:  Gunther Eysenbach
Journal:  J Med Internet Res       Date:  2004-09-29       Impact factor: 5.428

10.  Clinical manifestations, risk factors, and maternal and perinatal outcomes of coronavirus disease 2019 in pregnancy: living systematic review and meta-analysis.

Authors:  John Allotey; Elena Stallings; Mercedes Bonet; Magnus Yap; Shaunak Chatterjee; Tania Kew; Luke Debenham; Anna Clavé Llavall; Anushka Dixit; Dengyi Zhou; Rishab Balaji; Siang Ing Lee; Xiu Qiu; Mingyang Yuan; Dyuti Coomar; Jameela Sheikh; Heidi Lawson; Kehkashan Ansari; Madelon van Wely; Elizabeth van Leeuwen; Elena Kostova; Heinke Kunst; Asma Khalil; Simon Tiberi; Vanessa Brizuela; Nathalie Broutet; Edna Kara; Caron Rahn Kim; Anna Thorson; Olufemi T Oladapo; Lynne Mofenson; Javier Zamora; Shakila Thangaratinam
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  5 in total

1.  Authors' response: Re: Reifferscheid et al., "COVID-19 vaccine uptake and intention during pregnancy in Canada".

Authors:  Shannon E MacDonald; Laura Reifferscheid; Julie A Bettinger; Joan Robinson; Manish Sadarangani; Eve Dubé; Noni E MacDonald; Emmanuel Marfo; Ali Assi; Arnaud Gagneur; S Michelle Driedger
Journal:  Can J Public Health       Date:  2022-08

2.  Re: Reifferscheid et al., "COVID-19 vaccine uptake and intention during pregnancy in Canada".

Authors:  Pathum Sookaromdee; Viroj Wiwanitkit
Journal:  Can J Public Health       Date:  2022-05-16

3.  COVID-19 Vaccine Acceptance during Pregnancy and Influencing Factors in South Korea.

Authors:  Heesu Yoon; Bo Yun Choi; Won Joon Seong; Geum Joon Cho; Sunghun Na; Young Mi Jung; Ji Hye Jo; Hyun Sun Ko; Joong Shin Park
Journal:  J Clin Med       Date:  2022-09-28       Impact factor: 4.964

4.  COVID-19 vaccination hesitancy and willingness among pregnant women in Italy.

Authors:  Grazia Miraglia Del Giudice; Lucio Folcarelli; Annalisa Napoli; Francesco Corea; Italo Francesco Angelillo
Journal:  Front Public Health       Date:  2022-10-03

5.  Understanding the Influence of Web-Based Information, Misinformation, Disinformation, and Reinformation on COVID-19 Vaccine Acceptance: Protocol for a Multicomponent Study.

Authors:  Eve Dubé; Shannon E MacDonald; Terra Manca; Julie A Bettinger; S Michelle Driedger; Janice Graham; Devon Greyson; Noni E MacDonald; Samantha Meyer; Geneviève Roch; Maryline Vivion; Laura Aylsworth; Holly O Witteman; Félix Gélinas-Gascon; Lucas Marques Sathler Guimaraes; Hina Hakim; Dominique Gagnon; Benoît Béchard; Julie A Gramaccia; Richard Khoury; Sébastien Tremblay
Journal:  JMIR Res Protoc       Date:  2022-10-17
  5 in total

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