Published on in Vol 7 (2023)

This is a member publication of Servei Català de la Salut, Information Systems, Barcelona, Spain

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41799, first published .
Effects of the COVID-19 Pandemic on the Decision and Doubts About Vaccination in Catalonia: Online Cross-sectional Questionnaire

Effects of the COVID-19 Pandemic on the Decision and Doubts About Vaccination in Catalonia: Online Cross-sectional Questionnaire

Effects of the COVID-19 Pandemic on the Decision and Doubts About Vaccination in Catalonia: Online Cross-sectional Questionnaire

Original Paper

1Institut Catatà de la Salut, Primary Care Center Rambla Ferran, Lleida, Spain

2Research Support Unit Lleida, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina, Lleida, Spain

3Institut Català de la Salut, Primary Care Center Balàfia-Pardinyes-Secà de Sant Pere, Lleida, Spain

4Faculty of Nursery and Physiotherapy, University of Lleida, Lleida, Spain

5Institut de Recerca Biomèdica, Department of Experimental Medicine, University of Lleida, Lleida, Spain

6Institut Catatà de la Salut, Primary Care, Lleida, Spain

7Hospital Universitario Santa Maria., Gestió de Serveis Sanitaris., Departament de Salut, Lleida, Spain

8Centro de Investigación Biomédica en Red de Epidemiologia y Salud Publica, Instituto de Salud Carlos III, Madrid, Spain

9Institut de Recerca Biomèdica, Applied Epidemiology Research Group, University of Lleida, Lleida, Spain

10Faculty of Medicine, University of Lleida, Lleida, Spain

11See Acknowledgments

*these authors contributed equally

Corresponding Author:

Marta Ortega Bravo, PhD, Prof Dr

Research Support Unit Lleida

Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina

Rambla Ferran, 44

Lleida, 25007

Spain

Phone: 34 973728255 ext 1809

Email: mortega.lleida.ics@gencat.cat


Background: Hesitancy to get vaccinated during the COVID-19 pandemic may decrease vaccination coverage and facilitate the occurrence of local or global outbreaks.

Objective: The objective of this study was to analyze the impact of the COVID-19 pandemic in Catalonia on 3 aspects: the decision to get vaccinated against COVID-19, changes in opinion about vaccination in general, and the decision to get vaccinated against other diseases.

Methods: We performed an observational study with the population of Catalonia aged 18 years or over, obtaining information through a self-completed questionnaire in electronic format. Differences between groups were determined using the chi-square test, Mann-Whitney U test, or the Student t test.

Results: We analyzed the answers from 1188 respondents, of which 870 were women, 47.0% (558/1187) had sons or daughters under the age of 14 years, and 71.7% (852/1188) had studied at university. Regarding vaccination, 16.3% (193/1187) stated that they had refused a vaccine on some occasion, 76.3% (907/1188) totally agreed with vaccines, 1.9% (23/1188) were indifferent, and 3.5% (41/1188) and 1.2% (14/1188) slightly or totally disagreed with vaccination, respectively. As a result of the pandemic, 90.8% (1069/1177) stated that they would get vaccinated against COVID-19 when they are asked, while 9.2% (108/1177) stated the opposite. A greater intention to get vaccinated was observed among women; people older than 50 years; people without children under 15 years of age; people with beliefs, culture, or family in favor of vaccination; respondents who had not previously rejected other vaccines, were totally in favor of vaccines, or had not increased their doubts about vaccination; and respondents who had not changed their decision about vaccines as a result of the pandemic. Finally, 30.3% (359/1183) reported an increase in their doubts regarding vaccination, and 13.0% (154/1182) stated that they had changed their decision about routinely recommended vaccines as a result of the pandemic.

Conclusions: The population studied was predominantly in favor of vaccination; however, the percentage of people specifically rejecting vaccination against COVID-19 was high. As a result of the pandemic, we detected an increase in doubts about vaccines. Although the final decision about vaccination did not primarily change, some of the respondents did change their opinion about routine vaccinations. This seed of doubt about vaccines may be worrisome as we aim to maintain high vaccination coverage.

JMIR Form Res 2023;7:e41799

doi:10.2196/41799

Keywords



Vaccination is the most effective way to prevent diseases. Currently, immunization prevents 2 million to 3 million deaths per year, and, if vaccination coverage improves, another 1.5 million deaths could be avoided [1]. A decrease in vaccination represents a threat to the collective immunity acquired in recent years thanks to the efforts of health professionals [2].

The COVID-19 pandemic has drastically affected people and health systems worldwide. It has become a catalyst for many scientific advances, including the conception of a vaccine against COVID-19 [3]. This vaccine is considered one of the most important instruments to limit the spread or eliminate the pandemic, but its success is related to its acceptance worldwide [4-6].

According to the definition proposed by MacDonald and the SAGE Working Group on Vaccine Hesitancy [7], vaccine hesitancy is situated on a continuum from acceptance of all vaccines to total rejection. People who are hesitant about vaccination represent a heterogeneous group between these 2 extremes.

In 2019, the World Health Organization (WHO) rated vaccination hesitancy caused by antivaccine movements as one of the top 10 threats to global health [8] and warned of the dramatic growth of antivaccine theses and “fake news” in western Europe [9,10]. Vaccine hesitancy can be fueled by health information obtained from a variety of sources, including new media like the internet and social media platforms [2,4,11-13]. In particular, social networks have become a new paradigm for medical care, where power has passed from health professionals to patients and the legitimacy of science is questioned [2,14].

The antivaccine infodemic (misinformation and unfounded rumors about infection and vaccination) increased during the COVID-19 pandemic. It appeared on social networks long before the arrival of an effective vaccine, eroding confidence in vaccination among the community and making the job of health professionals difficult [4,10,11,15-17].

Globally, 63.1% of the adult population has received one dose of the COVID-19 vaccine, and 55.7% has received the complete regimen [18]. At the beginning of 2022, the Spanish Ministry of Health published that, in Spain, 80.5% of the total population and 90.4% of the population older than 12 years had been fully vaccinated against COVID-19 [19]. On the same dates, the Statistical Institute of Catalonia published that, in this region, 79.5% of the total population and 85.4% of the population over 12 years of age had been fully vaccinated against COVID-19 [20,21].

In this context, our study sought to assess the impact of the pandemic on the decision to get vaccinated against COVID-19, on the possible increase in doubts about vaccines in general, and on the decision to get vaccinated against other diseases. We also wanted to describe the potential influence exerted by gender and sociocultural characteristics.


Study Design

The main objectives of the study were to assess the impact of the pandemic on public opinion about 3 aspects: the decision to get vaccinated against COVID-19, doubts about vaccinations in general, and the decision to get vaccinated against other diseases.

We performed an observational study in the population in Catalonia aged 18 years or older who had access to the online survey in 2021 and who had the faculty to decide on their or others’ vaccination.

We obtained the information through an electronic, self-administered questionnaire designed by the project research team. A pilot test was performed before the definitive questionnaire was obtained. Both were registered on a Research Electronic Data Capture (REDCap) web platform on a centralized server where the data remain in the custody of the Institut Català de la Salut. Through the REDCap web platform, we also built a database of the participants. Anonymous information was exported to the statistical packages used for subsequent analysis. The REDCap platform generated a link [22] for participation in the survey that was disseminated through scientific societies, social networks, research institutes, pediatricians, and nurses in primary care.

Ethical Considerations

This study was approved by the ethics and clinical Research Committee of the Institut Universitari per a la recerca a l'Atenció Primària de Salut (IDIAP) Jordi Gol i Gurina, with code 20/221-P. The study was conducted in accordance with the principles of the Declaration of Helsinki. The variables collected were treated anonymously and to guarantee the confidentiality of the data, as established in Regulation (EU) 2016/679 of the European Parliament and the Council of April 27 on Data Protection (RGPD) and the organic law 3 /2018, of December 5, protection of personal data and guarantee of digital rights. The database is kept by the principal investigator and the research team in an Excel format, protected by password access. An anonymized database was used for the analysis. Before carrying out the survey, online informed consent had to be completed, accepted, and signed.

Variables

The main variables were the following: sociodemographic factors (gender, age, having children under 15 years of age, level of education); sociocultural factors (beliefs, culture, family); vaccine refusal (if any vaccine had been previously refused, opinion about vaccines); network search (last year of search, if it was about COVID-19); and the effect of the COVID-19 pandemic on the intention to get vaccinated against COVID-19 and on the doubts and decision about routinely recommended vaccines.

Statistical Analysis

All the variables are described using absolute and relative frequencies (numbers and percentages of positive and negative responses). The main variables were related to the effect of the COVID-19 pandemic on the following aspects: intention to get vaccinated against COVID-19 as well as doubts and decision about other routinely recommended vaccines. To determine if there are sociocultural differences related to these main variables, the different groups were compared using chi-square tests. The effects of all the variables (dependent and independent) were evaluated on each dependent variable. Statistical significance was established at P<.05. Statistical analyses were performed with R software version 4.1.2.


Sample Overview

A total of 1188 questionnaires were collected and included in the study. In the sample, 73.8% (870/1179) of the respondents were women, 47.0% (558/1187) had sons or daughters under the age of 15 years, and 71.7% (852/1188) had studied at university. Regarding vaccination, 16.3% (193/1187) of the participants stated that they had refused a vaccine on some occasion, 76.3% (907/1188) totally agreed with vaccines, 1.9% (23/1188) were indifferent, and 3.5% (41/1188) and 1.2% (14/1188) slightly or totally disagreed with vaccination, respectively. The median time since the last internet search on vaccination was 1 year. Moreover 25.3% (301/1188) of all respondents claimed to have consulted on social networks about COVID-19 vaccines, representing 84% (301/360) of those who answered the question Table 1 contains the description of the sample.

Table 1. Sample overview (n=1188).
VariablesResults, n (%)
Sociodemographic variables

Sexa


Men309 (26.2)


Women870 (73.8)

Age (years)b


<2593 (7.8)


26-3064 (5.4)


31-39232 (19.6)


40-49347 (29.2)


50-59307 (25.9)


≥60144 (12.1)

Do you have daughters or sons aged 14 years or under?b


Yes558 (47.0)


No629 (53.0)

What is your education level?


Without or with incomplete primary education4 (0.3)


Primary25 (2.1)


Secondary48 (4.1)


Bachelor’s degree77 (6.5)


Vocational training182 (15.3)


University852 (71.7)
Sociocultural environment

Your religious beliefs are:c


In favor of vaccination439 (37.1)


Against vaccination6 (0.5)


Neutral192 (16.2)


I am not a believer447 (37.8)


I do not know100 (8.4)

Your culture is:d


In favor of vaccination1040 (87.8)


Against vaccination10 (0.8)


Neutral89 (7.5)


I do not know46 (3.9)

Your family is:d


In favor of vaccination1089 (91.9)


Against vaccination25 (2.1)


Neutral51 (4.3)


I do not know20 (1.7)
Vaccine refusal

Have you ever refused any vaccine?b 


Yes193 (16.3)


No994 (83.7)

Regarding vaccines


Totally in agreement907 (76.3)


Slightly in agreement203 (17.1)


Indifferent23 (1.9)


Slightly in disagreement41 (3.5)


Totally in disagreement14 (1.2)
Consultation on social networks

Years from the last search you did on social networkse,f1.00 (0.00-1.00)

Was the search related to COVID-19?


Yes301 (25.3)


No59 (4.9)


Not applicable828 (69.7)
Questions about COVID-19

As a result of the COVID-19 pandemic, will you get vaccinated against COVID-19 when you are asked?g


Yes1069 (90.8)


No108 (9.2)

As a result of the COVID-19 pandemic, have your doubts about vaccination increased?h


Yes359 (30.3)


No824 (69.7)

As a result of the COVID-19 pandemic, have you changed your decision about other vaccines?i


Yes154 (13.0)


No1028 (87.0)

an=1179.

bn=1187.

cn=1184.

dn=1185.

emedian (IQR).

fn=330.

gn= 1177.

hn=1183.

in=1182.

Intention of Getting Vaccinated Against COVID-19

Of the people surveyed, 90.8% (1068/1177) stated that, as a result of the COVID-19 pandemic, they would get vaccinated against COVID-19 when asked, while 9.2% (108/1188) stated the opposite.

There was a significantly greater intention to get vaccinated among women, people older than 50 years of age, and people without children 15 years of age or younger. Moreover, religious beliefs, culture, or family environment favorable to vaccination had a significant positive association with getting vaccinated. Participants who had not previously rejected other vaccines and who were totally in favor of vaccines were significantly more likely to get vaccinated. Also, a significantly greater intention to get vaccinated against COVID-19 was found among people whose doubts about vaccination did not increase and who did not change their decision about the other vaccines as a result of the pandemic (Table 2).

In particular, women with children younger than 15 years of age were less ready to get vaccinated against COVID-19, and their doubts about vaccination significantly increased as a result of the COVID-19 pandemic (Table 3).

Table 2. Intention of getting vaccinated against COVID-19 (n=1177).
CharacteristicsAs a result of the COVID-19 pandemic, would you get vaccinated against COVID-19 when you are asked?Overall P value

Yes (n=1068), n (%)No (n=108), n (%)
Sociodemographic variables

Sex.02


Men269 (25.4)39 (36.1)


Women790 (74.6)69 (63.9)

Age (years).02


<2580 (7.5)13 (12.1)


26-3053 (5.0)11 (10.3)


31-39204 (19.1)24 (22.4)


40-49310 (29.0)32 (29.9)


50-59286 (26.8)19 (17.8)


≥60135 (12.6)8 (7.5)

Do you have daughters or sons aged 14 years or under?.009


Yes487 (45.6)64 (59.3)


No580 (54.4)44 (40.7)

What is your education level?.25


Without or with incomplete primary education4 (0.4)0 (0)


Primary23 (2.1)2 (1.9)


Secondary39 (3.6)9 (8.3)


Bachelor’s degree70 (6.6)6 (5.6)


Vocational training161 (15.1)20 (18.5)


University771 (72.2)71 (65.7)

University studies.19


No297 (27.8)37 (34.3)


Yes771 (72.2)71 (65.7)
Sociocultural environment

Your religious beliefs are:<.001


In favor of vaccination420 (39.5)14 (13.0)


Against vaccination2 (0.2)4 (3.7)


Neutral158 (14.8)33 (30.5)


I am not a believer389 (36.6)54 (50.0)


I do not know95 (8.9)3 (2.8)

Your culture is:<.001


In favor of vaccination971 (91.1)59 (55.1)


Against vaccination3 (0.3)7 (6.6)


Neutral57 (5.3)32 (29.9)


I do not know35 (3.3)9 (8.4)

Your family is:<.001


In favor of vaccination1015 (95.1)64 (60.4)


Against vaccination11 (1.0)13 (12.2)


Neutral31 (2.9)20 (18.9)


I do not know10 (1.0)9 (8.5)
Vaccine refusal

Have you ever refused any vaccine?<.001


Yes142 (13.3)49 (45.8)


No926 (86.7)58 (54.2)

Regarding vaccines:<.001


Totally in agreement881 (82.5)21 (19.5)


Slightly in agreement166 (15.6)32 (29.6)


Indifferent10 (0.9)12 (11.1)


Slightly in disagreement10 (0.9)30 (27.8)


Totally in disagreement1 (0.1)13 (12.0)
Consultation on social networks

Years from the last search you did on social networksa0.8 (1.6)0.7 (0.5).33

Was the search related to COVID-19?.14


Yes266 (84.7)32 (74.4)


No48 (15.3)11 (25.6)
Questions about COVID-19

As a result of the COVID-19 pandemic, have your doubts about vaccination increased?<.001


Yes274 (25.7)77 (71.3)


No792 (74.3)31 (28.7)

As a result of the COVID-19 pandemic, have you changed your decision about vaccines?<.001


Yes104 (9.8)45 (41.7)


No960 (90.2)63 (58.3)

amedian (IQR).

Table 3. Comparison of results obtained to the questions according to gender.
CharacteristicsHas sons or daughters ≤14 years old, n (%)Does not have sons nor daughters ≤14 years oldP value


MenWomenMenWomen
As a result of the COVID-19 pandemic, will you get vaccinated against the COVID-19 vaccine when proposed?

Yes104 (38.7)382 (48.4)165 (61.3)407 (51.6).18

No20 (51.3)44 (63.8)19 (48.7)25 (36.2).02
As a result of the COVID-19 pandemic, have your doubts about vaccination increased?

Yes42 (52.5)155 (56.0)38 (47.5)122 (44.0).02

No82 (36.1)275 (46.8)145 (63.9)313 (53.2).01
As a result of the COVID-19 pandemic, have you changed your decision about vaccines?

Yes155 (80.3)155 (56.0)38 (19.7)122 (44.0).08

No82 (36.1)275 (46.8)145 (63.9)313 (53.2)>.99

Increasing Doubts on Routinely Recommended Vaccination

Of the respondents, 30.3% (359/1183) stated that their doubts regarding vaccination in general had increased as a result of the COVID-19 pandemic. There were no statistical differences in such a response with respect to gender, university studies, or searching on social networks. A significantly higher percentage of participants with increased doubts were younger than 50 years of age or had children younger than 15 years of age, and their beliefs, culture, or family were against vaccination. Moreover, participants with increased doubts had sometimes rejected vaccines; they were not totally in favor of vaccines and reported that the pandemic had changed their decision about vaccines (Table 4).

Table 4. Doubts on routinely recommended vaccination (n=1183).
CharacteristicsAs a result of the COVID-19 pandemic, have your doubts about vaccination increased?Overall P value

Yes (n=359), n (%)No (n=824), n (%)
Sociodemographic variables

Sex.057


Men80 (22.3)227 (27.9)


Women278 (77.7)588 (72.1)

Age (years)<.001


<2527 (7.5)66 (8.0)


26-3027 (7.5)37 (4.5)


31-3985 (23.8)146 (17.7)


40-49116 (32.4)230 (28.0)


50-5974 (20.7)231 (28.1)


≥6029 (8.1)113 (13.7)

Do you have daughters or sons aged 14 years or under?<.001


Yes197 (55.0)358 (43.5)


No161 (45.0)465 (56.5)

What is your education level?.004


Without or with incomplete primary education0 (0.0)4 (0.5)


Primary6 (1.7)18 (2.2)


Secondary22 (6.1)25 (3.0)


Bachelor’s degree16 (4.5)60 (7.3)


Vocational training69 (19.2)113 (13.7)


University246 (68.5)603 (73.3)

University studies.11


No113 (31.5)220 (26.7)


Yes246 (68.5)603 (73.3)
Sociocultural environment

 Your religious beliefs are: .001


In favor of vaccination111 (30.9)324 (39.6)


Against vaccination5 (1.4)1 (0.1)


Neutral74 (20.6)118 (14.4)


I am not a believer134 (37.3)312 (38.1)


I do not know35 (9.8)64 (7.8)

Your culture is:<.001


In favor of vaccination277 (77.4)757 (92.2)


Against vaccination7 (1.9)3 (0.3)


Neutral49 (13.7)40 (4.9)


I do not know25 (7.0)21 (2.6)

Your family is:<.001


In favor of vaccination296 (82.9)787 (95.8)


Against vaccination19 (5.3)6 (0.7)


Neutral31 (8.7)20 (2.4)


I do not know11 (3.1)9 (1.1)
Vaccine refusal

Have you ever refused any vaccine?<.001


Yes85 (23.8)108 (13.1)


No272 (76.2)716 (86.9)

Regarding vaccines:<.001


Totally in agreement176 (49.0)727 (88.3)


Slightly in agreement126 (35.1)75 (9.1)


Indifferent16 (4.5)7 (0.9)


Slightly in disagreement32 (8.9)9 (1.1)


Totally in disagreement9 (2.5)5 (0.6)
Consultation on social networks

Years from the last search you did on social networksa0.7 (1.0)0.8 (1.7).41

Was the search related to COVID-19?.55


Yes104 (81.9)197 (84.9)


No23 (18.1)35 (15.1)
Questions about COVID-19

As a result of the COVID-19 pandemic, will you get vaccinated against COVID-19 when you are asked?<.001


Yes274 (78.1)792 (96.2)


No77 (21.9)31 (3.8)

As a result of the COVID-19 pandemic, have you changed your decision about other vaccines?<.001


Yes122 (34.0)32 (3.9)


No237 (66.0)788 (96.1)

amedian (IQR).

Variation of the Intention to Get Vaccinated With Routinely Recommended Vaccines

Of the respondents to the survey, 13.0% (154/1182) stated that, as a result of the COVID-19 pandemic, their decision about recommended vaccines had changed. In this case, there were no statistically significant differences regarding gender, age, having children younger than 15 years of age, educational level, religious beliefs, or searching on networks. Most of the people who did not change their opinion about vaccines were totally in favor of vaccines or their culture or family was (Table 5).

Table 5. Variation of the intention to get vaccinated with routinely recommended vaccines (n=1182).
CharacteristicsAs a result of the COVID-19 pandemic, have you changed your decision about vaccines?Overall P value

Yes (n=154), n (%)No (n=1028), n (%)
Sociodemographic variables

Sex.053


Men30 (19.5)277 (27.2)


Women124 (80.5)741 (72.8)

Age (years).09


<2515 (9.8)78 (7.6)


26-3014 (9.1)50 (4.9)


31-3936 (23.6)194 (18.9)


40-4941 (26.8)304 (29.6)


50-5933 (21.6)272 (26.5)


≥6014 (9.1)129 (12.5)

Do you have daughters or sons aged 14 years or under?.33


Yes78 (51.0)476 (46.3)


No75 (49.0)551 (53.7)

What is your education level?.052


Without or with incomplete primary education0 (0)4 (0.4)


Primary5 (3.2)20 (2.0)


Secondary11 (7.2)36 (3.5)


Bachelor’s degree11 (7.2)66 (6.4)


Vocational training31 (20.1)151 (14.7)


University96 (62.3)750 (73.0)
Sociocultural environment

 Your religious beliefs are: .12


In favor of vaccination46 (29.9)388 (37.9)


Against vaccination2 (1.3)4 (0.4)


Neutral32 (20.8)160 (15.7)


I am not a believer61 (39.6)385 (37.6)


I do not know13 (8.4)86 (8.4)

Your culture is:<.001


In favor of vaccination117 (76.0)916 (89.5)


Against vaccination2 (1.3)8 (0.8)


Neutral22 (14.3)67 (6.5)


I do not know13 (8.4)33 (3.2)

Your family is:<.001


In favor of vaccination122 (80.3)961 (93.6)


Against vaccination10 (6.6)15 (1.5)


Neutral11 (7.2)40 (3.9)


I do not know9 (5.9)11 (1.0)
Vaccine refusal

 Have you ever refused any vaccine? <.001


Yes43 (27.9)149 (14.5)


No111 (72.1)877 (85.5)

Regarding vaccines:<.001


Totally in agreement60 (39.0)842 (81.9)


Slightly in agreement64 (41.6)138 (13.4)


Indifferent7 (4.5)16 (1.6)


Slightly in disagreement20 (13.0)21 (2.0)


Totally in disagreement3 (1.9)11 (1.1)
Consultation on social networks

Years from the last search you did in social networksa0.6 (0.5)0.8 (1.6).10

Was the search related to COVID-19?.20


Yes43 (76.8)257 (84.8)


No13 (23.2)46 (15.2)
Questions about COVID-19

As a result of the COVID-19 pandemic, will you get vaccinated against COVID-19 when you are asked?<.001


Yes104 (69.8)960 (93.8)


No45 (30.2)63 (6.2)

As a result of the COVID-19 pandemic, have your doubts about vaccination increased?<.001


Yes122 (79.2)237 (23.1)


No32 (20.8)788 (76.9)

amedian (IQR).


The objective of our study was to evaluate the impact of the pandemic on public opinion about the decision to get vaccinated against COVID-19, doubts about routinely recommended vaccinations, and the final decision about vaccination. Also, we wanted to determine if sociodemographic and socioeconomic factors influenced decision-making about vaccination.

Of the surveyed population of residents of Catalonia aged at least 18 years in 2021, 90.8% showed a predisposition to get vaccinated against COVID-19, a lower percentage than that published in a serial survey conducted during the COSMO-Spain study promoted by the WHO (round December 9, 2021). According to the latter, 96% of the surveyed population stated they had received at least one dose of COVID-19 vaccine [23]. Similarly, in December 2021, the barometer of the Spanish Centre for Sociological Research showed that 96.5% of people surveyed had already been vaccinated against COVID-19, 3.2% had not, and 0.3% did not respond. Of the latter, 59.5% were not willing to be vaccinated, 4% had doubts, 3.1% would only do so under certain conditions, 21.7% would be vaccinated, and the rest did not respond [24]. Data from 2020 published by the Ministry of Health showed a primary vaccination coverage of 97% and a coverage for the 2 doses of the measles, mumps, and rubella (MMR) vaccine of 94.2% [25]. Finally, recent data showed coverage of the vaccine against COVID-19 of 90.4% and 85.4% of the population over 12 years of age in Spain and Catalonia, respectively [19,20]. This represented good vaccination coverage in Spain for both routinely recommended vaccines and the vaccine against COVID and exceeded the Spanish coverage for the 2020-2021 flu campaign, which was 67.7% for people older than 65 years of age and 72.0% for people older than 75 years of age [25].

In our study, 30.3% of people surveyed stated that, as a result of the COVID-19 pandemic, their doubts regarding recommended vaccinations had increased. Such doubts could imply a decrease in vaccination rates in general, such as the primary vaccination coverage, which is currently 97%. This effect could be mitigated by the evolution of the predisposition to vaccination during the pandemic. Indeed, the willingness of the Spanish population to get vaccinated against COVID-19 has been evolving with the progress of the vaccination campaign, as shown by the serial surveys carried out by the COSMO-Spain study. In this study, in the surveys prior to the start of the vaccination campaign, the percentage of people willing to get vaccinated against COVID-19 was 39% in November 2020. In the December 2021 survey, 96% of those surveyed reported having received some dose of the vaccine, and only 2% said they did not want to be vaccinated [23].

A study conducted in the United States during the pandemic also found that parental doubts about vaccinating children and the perception of risk about vaccines had increased. However, these doubts did not translate into less intention to administer routine vaccines to children [26]. This observation coincides with our results showing an increase in doubts about vaccination but an unchanged decision about vaccines by 87.0% of this population. However, 13.0% of the participants in the survey stated that, as a result of the COVID-19 pandemic, their decision on recommended vaccines had changed. This last group is related to antivaccination profiles, which could make it difficult for health professionals to maintain high vaccination coverage.

As for the sociodemographic variables, in contrast to other articles, we detected a greater predisposition to get vaccinated against COVID-19 or other vaccine-preventable diseases in women than in men [27,28]. Interestingly, as a result of the pandemic, women with children younger than 15 years of age were less likely to get vaccinated against COVID-19. Similarly, a review by Joshi et al [6] in 2021 showed that women and parents manifest less acceptance of the COVID-19 vaccine, which is why improving confidence in vaccines is recommended, especially in mothers. Other studies conducted with the UK and US populations indicated that women with young children are more concerned about vaccinating their children [28,29]. This could explain the high participation of women in our study, and we could deduce that, at certain socioeconomic levels, decision-making about the vaccination of children could be predominantly made by mothers. This observation is in agreement with data published by the Spanish Ministry of Health and Social Policy in 2009, showing greater maternal involvement in the care of other people in the family; moreover, in 2020, the European Commission ratified this situation [30,31]. In the same line, the dissemination through mommy blogs of the ideology of intensive motherhood, which is a cultural model of appropriate childrearing according to which mothers should unselfishly make a tremendous investment in their child, maintains the persistence of gender inequality and allows the dissemination of erroneous information about vaccines [32,33].

In agreement with other studies, we found a greater predisposition to get vaccinated and fewer doubts about vaccination as a result of the COVID-19 pandemic among older adults. Indeed, it is argued that older people are more likely to get vaccinated than younger people, since they are more concerned about their health and are more susceptible to getting sick [3,27,34,35].

Despite the high participation of people who had completed university studies, no relationship was found with attitudes for or against vaccination. Some studies have shown that the higher the level of education, the greater the acceptance of vaccines and the predisposition to prioritize vaccination [36-40]. On the contrary, there are also studies that found that sociodemographic levels do not influence the decision to vaccinate [41] or that a higher level of education coincides with greater doubts about vaccination [42].

Our study shows that cultural, religious, and family beliefs are associated with doubts and decision about vaccination, with a greater predisposition to get vaccinated against COVID-19 if the sociocultural environment is provaccine. These results support data published in previous studies [43,44].

We found that people who were not predisposed to get vaccinated against COVID-19 also stated that their doubts about vaccination increased as a result of the pandemic or reported having refused vaccines sometimes. This could indicate that there may be other factors, apart from sociodemographic and sociocultural factors, that can influence vaccine hesitancy: accessibility and cost, personal responsibility and risk perception, precautionary measures taken to vaccinate people, trust in health authorities and in vaccines, safety and efficacy of a new vaccine, and lack of information or misinformation about vaccines [3,6,44,45]. These factors cannot be interpreted either causally or independently of each other. It is much more plausible that several of the factors interrelate in a complex and dynamic way to influence individuals, confirming the WHO 3C Model (confidence, complacency, and convenience) of the factors influencing the decision to get vaccinated [3,46].

There is extensive literature showing that information from social networks can be a source of vaccine hesitancy; however, in this study, it was not possible to establish this association since only one-quarter of the respondents consulted social networks about COVID-19 vaccines [2,4,11-13]. This low level of searching on social networks could be explained by the results of other studies, such as the study by Hunt [47], which showed that people passively receive information from networks and are not aware of it [48], such as being a follower of mommy blogs and passively receiving erroneous information about vaccines [32]. However, we think that social networks provide an opportunity to directly communicate medical information to the public and that health systems should work on building disease detection and surveillance systems through the monitoring of social networks [49].

One of the limitations of this study is recruitment bias since people without access to the online survey could not participate. However, 97% of Catalan households have internet access, and 70.4% of Catalan internet were users of social networks in 2020 [50,51]. Another limitation is the impossibility of detecting if anyone repeated the survey; however, it was expected that few respondents would repeat it and therefore it would not influence the final result of the total sample. In the population surveyed, there was a predominance of women and people with a university education. This fact could result in not being fully representative of the Catalan population and could limit the interpretation and generalization of our study. The difficulty of reaching the antivaccine population using this survey was also known due to the difficulties in interacting with these groups. Therefore, to limit eventual bias deriving from this, in the sample size calculation, we considered that the proportion of antivaccine responses would be much lower than the provaccine responses.

Conclusions

The population studied was predominantly in favor of vaccination, although there were high percentages of rejection specifically of vaccination against COVID-19. As a result of the pandemic, we detected an increase in doubts about vaccines. Although the final decision about vaccination did not primarily change, some of the respondents did change their opinion about routine vaccinations. The seed of doubt about vaccines and the changes in opinion generated as a result of the pandemic can be worrying for maintaining high vaccination coverage and could make the work of health professionals difficult.

This study has improved the knowledge on opinions about vaccines, and this will allow optimizing of the approach to vaccination in certain population groups with greater hesitation.

Acknowledgments

Data collection would not have been possible without the collaboration of the MC-MUVA work group (Multimedia Appendix 1), la Xarxa de Recerca en Pediatria d'Atenció Primària, and la Societat Catalana de Pediatria. Our special thanks go to the dedicated investigators and participants.

This work was supported by Diputació de Lleida, Societat Catalana de Pediatria, and Asociación Española de Pediatria de Atención Primaria.

Data Availability Statement

The data are hosted on the research team’s internal servers and will be provided under reasonable request.

Authors' Contributions

AHF, EAB, and MOB contributed to the study concept and research design and selected and reviewed the literature on vaccination. JS participated in the acquisition, analysis, and interpretation of data. AHF, EAB, MOB, JS, and PG participated in the writing and critical review of the manuscript and approved the final version. AHF and MC-MUVA contributed to recruitment.

Conflicts of Interest

None declared.

Multimedia Appendix 1

MC-MUVA work group.

DOCX File , 13 KB

  1. 10 datos sobre la inmunización. Organización Mundial de la Salud. 2019 Jul 18.   URL: https://www.who.int/es/news-room/facts-in-pictures/detail/immunization [accessed 2020-09-19]
  2. Hussain A, Ali S, Ahmed M, Hussain S. The anti-vaccination movement: a regression in modern medicine. Cureus 2018 Jul 03;10(7):e2919 [FREE Full text] [CrossRef] [Medline]
  3. Truong J, Bakshi S, Wasim A, Ahmad M, Majid U. What factors promote vaccine hesitancy or acceptance during pandemics? A systematic review and thematic analysis. Health Promot Int 2022 Feb 17;37(1):1. [CrossRef] [Medline]
  4. Puri N, Coomes EA, Haghbayan H, Gunaratne K. Social media and vaccine hesitancy: new updates for the era of COVID-19 and globalized infectious diseases. Hum Vaccin Immunother 2020 Nov 01;16(11):2586-2593 [FREE Full text] [CrossRef] [Medline]
  5. Callender D. Vaccine hesitancy: More than a movement. Hum Vaccin Immunother 2016 Sep 09;12(9):2464-2468 [FREE Full text] [CrossRef] [Medline]
  6. Joshi A, Kaur M, Kaur R, Grover A, Nash D, El-Mohandes A. Predictors of COVID-19 vaccine acceptance, intention, and hesitancy: a scoping review. Front Public Health 2021;9:698111 [FREE Full text] [CrossRef] [Medline]
  7. MacDonald NE, SAGE Working Group on Vaccine Hesitancy. Vaccine hesitancy: Definition, scope and determinants. Vaccine 2015 Aug 14;33(34):4161-4164 [FREE Full text] [CrossRef] [Medline]
  8. Diez cuestiones de salud que la OMS abordará este año. Organización Mundial de la Salud. 2019.   URL: https://www.who.int/es/news-room/spotlight/ten-threats-to-global-health-in-2019 [accessed 2020-05-20]
  9. Reticencia a la vacunación: Un desafío creciente para los programas de inmunización. Organización Mundial de la Salud. 2015 Aug 18.   URL: https:/​/www.​who.int/​es/​news/​item/​18-08-2015-vaccine-hesitancy-a-growing-challenge-for-immunization -programmes [accessed 2022-03-06]
  10. Germani F, Biller-Andorno N. The anti-vaccination infodemic on social media: A behavioral analysis. PLoS One 2021 Mar 3;16(3):e0247642 [FREE Full text] [CrossRef] [Medline]
  11. Bean SJ. Emerging and continuing trends in vaccine opposition website content. Vaccine 2011 Feb 24;29(10):1874-1880. [CrossRef] [Medline]
  12. Line S, Avashia S. Effectively counseling patients amid the anti-vaccination movement. Tex Med 2019 Jul 01;115(7):4-5. [Medline]
  13. Kieslich K. Addressing vaccination hesitancy in Europe: a case study in state-society relations. Eur J Public Health 2018 Nov 01;28(suppl_3):30-33. [CrossRef] [Medline]
  14. Kata A. Anti-vaccine activists, Web 2.0, and the postmodern paradigm--an overview of tactics and tropes used online by the anti-vaccination movement. Vaccine 2012 May 28;30(25):3778-3789. [CrossRef] [Medline]
  15. Donovan J. Social-media companies must flatten the curve of misinformation. Nature 2020 Apr 14:1. [CrossRef] [Medline]
  16. Consuegra-Fernández M. El movimiento antivacunas: un aliado de la COVID-19. Revista Internacional De Pensamiento Político 2021 Jan 28;15:127-138. [CrossRef]
  17. Pullan S, Dey M. Vaccine hesitancy and anti-vaccination in the time of COVID-19: A Google Trends analysis. Vaccine 2021 Apr 01;39(14):1877-1881 [FREE Full text] [CrossRef] [Medline]
  18. Mathieu E, Ritchie H, Rodés-Guirao L, Appel C, Gavrilov D, Giattino C, et al. Coronavirus Pandemic (COVID-19). Our World in Data. 2020.   URL: https://ourworldindata.org/coronavirus [accessed 2022-03-08]
  19. Estrategia de vacunación COVID-19. Gobierno de España.   URL: https://www.vacunacovid.gob.es/ [accessed 2022-04-19]
  20. Vacunació de la covid-19. Institut d'Estadística de Catalunya.   URL: https://www.idescat.cat/indicadors/?id=conj&n=14357 [accessed 2022-01-19]
  21. Generalitat de Catalunya. Salut/Dades COVID.   URL: https://dadescovid.cat/ [accessed 2022-01-20]
  22. IDIAP JordiGol. REDCap.   URL: https://redcap.link/uj4jozhy [accessed 2023-02-06]
  23. Monitorización del comportamiento y las actitudes de la población relacionadas con la COVID-19 en España (COSMO-SPAIN): Estudio OMS. COSMO-Spain.   URL: https://portalcne.isciii.es/cosmo-spain/ [accessed 2022-05-17]
  24. Barómetros. Centro de Investigaciones Sociológicas.   URL: http://www.cis.es/cis/opencm/ES/11_barometros/index.jsp [accessed 2021-10-27]
  25. Vacunas y Programa de Vacunación. Ministerio de Sanidad.   URL: https:/​/www.​mscbs.gob.es/​profesionales/​saludPublica/​prevPromocion/​vacunaciones/​calendario-y-coberturas/​coberturas/​home.​htm [accessed 2022-01-22]
  26. He K, Mack WJ, Neely M, Lewis L, Anand V. Parental perspectives on immunizations: impact of the COVID-19 pandemic on childhood vaccine hesitancy. J Community Health 2022 Feb 23;47(1):39-52 [FREE Full text] [CrossRef] [Medline]
  27. Ferrante G, Baldissera S, Moghadam PF, Carrozzi G, Trinito MO, Salmaso S. Surveillance of perceptions, knowledge, attitudes and behaviors of the Italian adult population (18-69 years) during the 2009-2010 A/H1N1 influenza pandemic. Eur J Epidemiol 2011 Mar 8;26(3):211-219. [CrossRef] [Medline]
  28. Gilles I, Bangerter A, Clémence A, Green EGT, Krings F, Staerklé C, et al. Trust in medical organizations predicts pandemic (H1N1) 2009 vaccination behavior and perceived efficacy of protection measures in the Swiss public. Eur J Epidemiol 2011 Mar 8;26(3):203-210 [FREE Full text] [CrossRef] [Medline]
  29. Hilton S, Smith E. Public views of the UK media and government reaction to the 2009 swine flu pandemic. BMC Public Health 2010 Nov 15;10(1):697 [FREE Full text] [CrossRef] [Medline]
  30. European Commission, Directorate-General for Research and Innovation, Oertelt-Prigione S. The impact of sex and gender in the COVID-19 pandemic: case study. Publications Office. 2020.   URL: https://data.europa.eu/doi/10.2777/17055 [accessed 2023-02-07]
  31. Covas S, Maravall J, Bonino L. Los hombresyel cuidado de la salud: Sumario Ejecutivo. Ministerio de Sanidad y Política Social. 2009.   URL: https://www.sanidad.gob.es/organizacion/sns/planCalidadSNS/pdf/equidad/sumariocuidadores.pdf [accessed 2022-04-13]
  32. Tangherlini TR, Roychowdhury V, Glenn B, Crespi CM, Bandari R, Wadia A, et al. "Mommy Blogs" and the vaccination exemption narrative: results from a machine-learning approach for story aggregation on parenting social media sites. JMIR Public Health Surveill 2016 Nov 22;2(2):e166 [FREE Full text] [CrossRef] [Medline]
  33. Verniers C, Bonnot V, Assilaméhou-Kunz Y. Intensive mothering and the perpetuation of gender inequality: Evidence from a mixed methods research. Acta Psychol (Amst) 2022 Jul;227:103614 [FREE Full text] [CrossRef] [Medline]
  34. Rönnerstrand B. Social capital and immunisation against the 2009 A(H1N1) pandemic in Sweden. Scand J Public Health 2013 Dec 10;41(8):853-859. [CrossRef] [Medline]
  35. Mesch GS, Schwirian KP. Social and political determinants of vaccine hesitancy: Lessons learned from the H1N1 pandemic of 2009-2010. Am J Infect Control 2015 Nov;43(11):1161-1165 [FREE Full text] [CrossRef] [Medline]
  36. Börjesson M, Enander A. Perceptions and sociodemographic factors influencing vaccination uptake and precautionary behaviours in response to the A/H1N1 influenza in Sweden. Scand J Public Health 2014 Mar 20;42(2):215-222. [CrossRef] [Medline]
  37. Hilyard KM, Freimuth VS, Musa D, Kumar S, Quinn SC. The vagaries of public support for government actions in case of a pandemic. Health Aff (Millwood) 2010 Dec;29(12):2294-2301 [FREE Full text] [CrossRef] [Medline]
  38. Irwin KL, Jalloh MF, Corker J, Alpha Mahmoud B, Robinson SJ, Li W, 2015 Guinean Household Survey of Ebola Virus Disease Project Group. Attitudes about vaccines to prevent Ebola virus disease in Guinea at the end of a large Ebola epidemic: Results of a national household survey. Vaccine 2017 Dec 14;35(49 Pt B):6915-6923 [FREE Full text] [CrossRef] [Medline]
  39. Lin L, McCloud RF, Jung M, Viswanath K. Facing a health threat in a complex information environment: a national representative survey examining American adults' behavioral responses to the 2009/2010 A(H1N1) pandemic. Health Educ Behav 2018 Feb 26;45(1):77-89 [FREE Full text] [CrossRef] [Medline]
  40. Myers LB, Goodwin R. Determinants of adults' intention to vaccinate against pandemic swine flu. BMC Public Health 2011 Jan 06;11(1):15 [FREE Full text] [CrossRef] [Medline]
  41. Wu C, Kwong E, Wong H, Lo S, Wong A. Beliefs and knowledge about vaccination against AH1N1pdm09 infection and uptake factors among Chinese parents. Int J Environ Res Public Health 2014 Feb 14;11(2):1989-2002 [FREE Full text] [CrossRef] [Medline]
  42. Majid U, Ahmad M. The factors that promote vaccine hesitancy, rejection, or delay in parents. Qual Health Res 2020 Sep 29;30(11):1762-1776. [CrossRef] [Medline]
  43. Swingle CA. How do we approach anti-vaccination attitudes? Mo Med 2018;115(3):180-181 [FREE Full text] [Medline]
  44. Hornsey MJ, Harris EA, Fielding KS. The psychological roots of anti-vaccination attitudes: A 24-nation investigation. Health Psychol 2018 Apr;37(4):307-315. [CrossRef] [Medline]
  45. Damnjanović K, Graeber J, Ilić S, Lam WY, Lep, Morales S, et al. Parental decision-making on childhood vaccination. Front Psychol 2018 Jun 13;9:735 [FREE Full text] [CrossRef] [Medline]
  46. Larson HJ, Jarrett C, Eckersberger E, Smith DM, Paterson P. Understanding vaccine hesitancy around vaccines and vaccination from a global perspective: a systematic review of published literature, 2007-2012. Vaccine 2014 Apr 17;32(19):2150-2159. [CrossRef] [Medline]
  47. Hunt AP. The Passive Acquisition of Misinformation from Social Media. Middle Tennessee State University. 2016 Aug.   URL: https://jewlscholar.mtsu.edu/server/api/core/bitstreams/daae16e6-5ac3-400a-965e-7d47cbc50413/content [accessed 2023-02-06]
  48. Gainous J, Abbott JP, Wagner KM. Active vs. Passive Social Media Engagement with Critical Information: Protest Behavior in Two Asian Countries. The International Journal of Press/Politics 2020 Oct 30;26(2):464-483. [CrossRef]
  49. Abd-Alrazaq A, Alhuwail D, Househ M, Hamdi M, Shah Z. Top concerns of tweeters during the COVID-19 pandemic: infoveillance study. J Med Internet Res 2020 Apr 21;22(4):e19016 [FREE Full text] [CrossRef] [Medline]
  50. Llars amb accés a Internet. Institut d'Estadística de Catalunya.   URL: https://www.idescat.cat/indicadors/?id=ue&n=10144 [accessed 2020-05-17]
  51. Porcentaje de usuarios de redes sociales en España en 2020, por comunidad autónoma. Statista.   URL: https:/​/es.​statista.com/​estadisticas/​910163/​redes-sociales-porcentaje-de-usuarios-por-comunidad-autonoma-en-espana/​ [accessed 2022-05-17]


MMR: measles, mumps, and rubella
REDCap: Research Electronic Data Capture
WHO: World Health Organization


Edited by A Mavragani; submitted 22.08.22; peer-reviewed by J Pierce, N Ruggiano; comments to author 27.12.22; revised version received 13.01.23; accepted 13.01.23; published 06.03.23

Copyright

©Agnes Huguet-Feixa, Eva Artigues-Barberà, Joaquim Sol, Pere Godoy, Marta Ortega Bravo, MC-MUVA. Originally published in JMIR Formative Research (https://formative.jmir.org), 06.03.2023.

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