Ahmed Khan, Abu Bashar, and Chandra Tiwari: Attitude, perceptions and willingness to receive COVID-19 vaccine and their associated factors among general population of Uttar Pradesh, Northern India


Introduction

The ongoing coronavirus disease-2019 (COVID-19) pandemic COVID-19 has come up with various life-threatening issues involving public, administrative and healthcare sectors. The whole world is facing catastrophic economic consequences, including a threat of collapsing public health system due to the ongoing pandemic. The high surge in the number of cases worldwide led the World Health Organization (WHO) to declare it as “a public health emergency of international concern” on January 30th, 2020 where the overall mortality rate was 3.4%.1, 2 On March 11, 2020, WHO reassessed the situation and declared COVID-19 a global pandemic. Various preventive strategies and therapeutic guidelines have been issued by the various authorities like WHO and Ministry of Health & Family welfare (MOHFW), Government of India from time to time. As immunization is one of the most successful and cost-effective health interventions to prevent infectious diseases, vaccines against COVID-19 are considered to be of great importance in prevention and control of COVID-19.3 A number of vaccines were developed across the globe with different efficacy. However, public acceptance of vaccine is dependent on beliefs and perception toward the vaccine. Concern about vaccine hesitancy is growing worldwide:4 in fact, WHO identified it as one of the top ten global health threats in 2019.5

Government of India (GoI) has given Emergency Use Authorization (EUA) for home developed Bharat Biotech’s Covaxin and Serum Institute of India’s version of Oxford-AstraZeneca Covid-19 vaccine named Covishield following recommendations of Expert Committee set up by the Drugs Controller General of India (DCGI). Prime Minister of India formally launched World’s largest Covid-19 vaccination drive across India on 16th January 2021. Covid-19 vaccine roll out in India was sequential with health care workers on the top priority, followed by front line workers and the prioritized age groups. From 1st May 2021, India started vaccination of its citizens above 18 years of age. But there are several misconceptions and barrier to vaccine acceptance among general public. Vaccine hesitancy and misinformation poses major challenges to the achievement of adequate coverage and population immunity.6, 7 Anti-vaccination activists are campaigning in several countries since the beginning against the need for a vaccine, with some even denying the existence of COVID-19 Pandemic altogether.8 Misinformation spread through multiple channels, could have a considerable effect on the acceptance of COVID-19 vaccines. Expressing one’s willingness to get vaccinated might not be necessarily a good predictor of acceptance, as vaccine decisions are multi factorial and can change over time. Lessons learned from previous outbreaks including HIV, H1N1, SARS, MERS and Ebola, remind us that trusted sources of information and guidance are fundamental to disease control. Addressing vaccine hesitancy is not just building trust. Understanding the influencing factors for acceptance of COVID-19 vaccination and identifying common barriers and facilitators for vaccination decisions are important aspects in the design of effective strategies to improve the vaccine coverage among the general population.9

With this background, this online survey was planned and conducted to assess the willingness of the general public to receive a COVID-19 vaccine and their associated factors thereby identifying the various issues and challenges that might be faced by government and health care workers for successful implementation of COVID-19 vaccination drive in India.

Materials and Methods

Study design and settings

This was a web based cross-sectional study conducted between 1st May 2021 and 30th May 2021 among the general population of Uttar Pradesh (U.P.), Northern India. Uttar Pradesh is largest state of India by population with around 17% of its total population (Census 2011). The study population consisted of unvaccinated adult residents of the state of Uttar Pradesh, North India who were eligible to receive the COVID-19 vaccine after 1st May, 2021 onwards.

Sample size and sampling

Taking prevalence of willingness to receive COVID-19 vaccine as 78.6% from a recent pan India study by Jacob et al.10, Confidence interval as 95%, power of the study as 80% and absolute precision as 5%, the minimum sample size was calculated as 254. An exponential, non-discriminative snowball sampling technique was used to recruit the study participants through the social media platform WhatsApp. To obtain a more naturalistic sample we had neither inclusion nor exclusion criteria and anyone who was found eligible as per GoI notification (anyone 18 years or above, non-pregnant, non-lactating) to receive COVID-19 vaccine was invited for the study.

Study questionnaire and its administration

The study questionnaire was designed in consultation with the experts. It consisted of sections on sociodemographic, perception and acceptance towards the new COVID-19 vaccines, history of reverse transcription–polymerase chain reaction (RT-PCR) testing and results, and finally about their opinion about the risks and benefits of the vaccination. Participants were asked about the source of their knowledge about COVID-19 vaccines and their willingness to accept the COVID-19 vaccine. Questionnaire's content and clarity was assessed by the psychiatrists working in the same institute of the author. A Pilot study was undertaken with a sample of 20 participants from the authors' institute (selected by convenience) to know the average time required for completing the questionnaire in Google form and to ensure that it is appropriate and understandable to participants. The final questionnaire was developed based on Cronbach's alpha value >0.70.11 Pilot population were not part of the final study sample and the questionnaire was revised after making necessary amendments based on the findings of the pilot study. The survey questionnaire prepared in English, was forward translated to Hindi, the local language, performed by a bilingual, then another bilingual performed a backward translation to English; the translated versions were compared and checked until a final draft was prepared.

The questionnaire was self-administered. The participants were instructed to select one/multiple options from the list of responses. On receiving and clicking the link of the google form, participants got auto-directed to a detailed participant information sheet and consent agreement option. Only those who consented were permitted to proceed further with, the survey questionnaire.

Data collection and statistical analysis

The results of Hindi responses, the local language, were translated to English and were combined in one data sheet for analysis. The data obtained from the google form responses were extracted in excel sheets and analysed using statistical package for the social sciences (SPSS), version 21.0 (IBM Corporation, Armonk, NY, USA). Descriptive statistics was performed to describe the demographic characteristics and the outcome variables. Chi-square and fisher exact tests were used to determine the variables having a significant association with willingness for the COVID-19 vaccine. A two-tailed p-value < 0.05 was taken as statistically significant.

Results

A total of 254 individuals consented and participated in the study by completing the study questionnaire. Socio-demographic characteristics of the study participants have been presented in Table 1. Majority were in the age-group of 18-44 years (86.2%), males (54.7%), married (70.5%), Hindu by religion (74.8%), either graduates or postgraduates (82.2%), had monthly income up to INR 50,000 (56.6%) and were living with either kids or elderly or both (82.3%). Majority (82.3%) of the study participants reported not to have any co-morbid condition with hypertension (7.5%) being the most common co-morbidity followed by diabetes (3.9%).

Table 1

Socio-demographic characteristics of study participants (N= 254)

Variables

Categories

Frequency

Percentage

Age (in years)

18- 44

219

86.2%

45- 59

30

11.8%

60 and above

5

2.0%

Gender

Female

115

45.3%

Male

139

54.7%

Marital status

Married

179

70.5%

Unmarried

75

29.5%

Religion

Hindu

190

74.8%

Muslim

44

17.3%

Indian

5

2.0%

Prefer not to say

6

2.4%

Sikh

4

1.6%

Atheist

5

2.0%

Education

Up to class 8th

15

5.9%

Up to class 12th

30

11.8%

Graduate

104

40.9%

Post Graduate and above

105

41.3%

Occupation

Student

50

19.7%

Housewife

30

11.8%

Govt. employee

58

22.8%

Non-govt. Employee

55

21.7%

Retired

2

0.8%

Unemployed

25

9.8%

Others

34

13.4%

Working environment

At home

82

32.3%

Face to face interaction with Public

68

26.8%

At Office, no public dealing

60

23.6% 17.3%

Isolated outdoor environment

44

Total monthly family income (in INR)

Less than 10000

30

11.8%

10001 to 30000

74

29.1%

30001 to 50000

40

15.7%

50001 to 75000

65

25.6%

75001 to 100000

15

5.9%

100001 to 200000

25

9.8%

More than 200000

5

2.0%

Living persons at home

Kids

85

33.5%

Elderly

25

9.8%

Both

99

39.0%

None

45

17.7%

Comorbid condition

None

209

82.3%

Diabetes

10

3.9%

HTN

20

7.9%

DM+ HTN

6

2.4%

Heart Disease

5

2.0%

Skin Disease

4

1.6%

A total of 225 (86.2%) out of the 254 participants showed willingness to receive the COVID-19 vaccine (Figure 1).

Figure 1

Willingness to receive COVID-19 vaccine in the study participants (N=254)

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/deef2ed6-66ba-48f8-a037-b80246e865b5image1.png

Attitude and perception towards COVID-19 vaccination

Respondents who trusted safety and effectiveness of the government provided vaccine were more likely to accept the vaccine than those who said that they did not (Table 2).

Table 2

Attitude and perceptions of study participants towards COVID-19 vaccination (N=254)

Questions

Frequency

Percentage

Most trusted source for covid-19 vaccine*

1. Family members/Friends

51

20.0%

2. Family doctor

97

38.2%

3. Social media

17

6.7%

4. Television and newspaper/magazines

31

12.2%

5. Leading doctor in any field

43

16.9%

6. Only experts working in that field

78

30.7%

Biggest hesitancy with COVID-19 vaccine*

1. Too much conflicting information

94

37.0%

2. Worried about getting COVID-19 from vaccine itself.

32

12.6%

3. Worried about how much I will have to pay for the vaccine.

18

7.0%

4. Scared of shots in general, COVID is just another one

13

5.1%

5. Vaccine is not necessary for me.

29

11.4%

6. Other

98

38.6%

Compelling benefit to take the COVID-19 vaccine at earliest*

1. Prevent more people from getting sick and deaths

174

68.5%

2. Reopen the economy and get people back to work faster

54

21.3%

3. Close to my friends and loved ones with peace of mind

49

19.3%

4. Resumption of social gathering

46

18.1%

5. Other

51

20.0%

Drawbacks of not taking vaccine*

1. Damage to the economy from continued lockdowns

94

37.0%

2. Potential for friends and family to become ill/ worse

98

38.6%

3. Increasing burden on healthcare system

92

36.2%

4. Loss of our freedoms to live our lives

48

18.9%

5. Bad impact on education

62

24.4%

6. Other

56

22.0%

[i] *Not mutually exclusive

On bivariate analysis, socio-demographic factors found to be significantly associated with willingness to receive COVID-19 vaccine were younger age (18-44 years), female gender, absence of any-comorbidity, lower education level (up to senior secondary), being student, housewife or unemployed, positive history of lab confirmed COVID-19 iFtion among any family member/friend (Table 3).

Table 3

Factors associated with willingness to receive COVID-19 vaccine among the participants (n=254)

Variables

No. (%) showing willingness for vaccination

No. (%) showing unwillingness for vaccination

P-value

Age-group (in years)

18-44

200(90.9)

20(9.1)

<0.0001

45 and above

19(55.9)

15(44.1)

Gender

Male

114(82.0)

25(18.0)

0.03

Female

105(91.3)

10(8.6)

Co-morbidity

Present

29(65.9)

15(34.0)

<0.0001

Absent

190(90.5)

20(9.5)

Education level

Up to Senior secondary(12th) Graduate & above

45(100.0)

0(0.0)

0.003

174(83.3)

35(16.7)

Employment status

Unemployed/Student/Housewife

105(100.0)

0(0.0)

< 0.0001

Employed

114(76.5)

35(23.5)

Marital status

Unmarried

159(88.8)

20(11.2)

0.06

Married

60(80.0)

15(20.0)

Monthly income (in INR)

Less than10,000

25(83.3)

5(16.7)

10,001-50000

105(91.3)

10(8.7)

0.09

More than 50,000

89(81.7)

20(18.3)

History of confirmed COVID-19 infection in participants

Present

50(66.7)

25(33.3)

< 0.0001

Absent

169(94.4)

10(5.6)

History of confirmed COVID-19 case in family/friends

Present

79(72.5)

30(27.5)

<0.0001

Absent

140(96.6)

05(3.4)

Barriers to COVID-19 vaccination

With regard to reasons for not getting vaccinated for COVID-19 till date, majority (54.7%) of the participants gave the reason of not able to register for receiving the vaccine whereas around 14% gave the reason that they were waiting for other better options/alternatives. Only 7.9% of the participants agreed that their religion/culture prohibits them from vaccination. With regard to various fears associated with the vaccination, major one was the fear of getting the COVID-19 infection post vaccination seen in about 12% of the participants (Table 4).

Table 4

Barriers towards acceptance of COVID-19 vaccine among the study participants (N=254)

Potential barriers

Categories

Frequency

Percentage

Why not vaccinated till now

Pregnancy

15

5.9%

Breast feeding

10

3.9%

Waiting for better options/alternatives

35

13.8%

Failed to register

139

54.7%

Others

55

21.7%

Religion/culture against

No

234

92.1

Vaccination

Yes

20

7.9

Pressure from pharma company

Agree

85

33.4%

Disagree

89

35.0%

Not sure

80

31.5%

Fear of AEFI*

Some infected post-vaccination

30

11.8%

Few deaths post-vaccination

25

9.8%

Blood clot post-vaccination

5

1.9%

Skin allergy post-vaccination

5

1.9%

Discussion

The present study reported a high level of acceptance for COVID-19 vaccination among the surveyed population during second wave of COVID-19 pandemic in India. More than half (72.4%) of respondents in the vaccine accepting group wanted to get vaccinated as soon as possible when it was available to them, while others (27.6%) would delay the vaccination until further vaccine’s safety is confirmed. A relatively high tendency of acceptance was found among the middle income class and lower education level. Unless and until the causes of such wide variation in willingness to accept a COVID-19 vaccine is better understood and addressed, differences in vaccine coverage among community could potentially delay country level control of the pandemic and the ensuing societal and economic recovery. Among respondents who accepted vaccination, significant factors influencing their vaccination acceptance were gender, marriage status, and risk perception, belief of COVID-19 vaccine efficacy, valuing their family doctor’s recommendations, vaccination convenience or vaccine price. The high acceptance of and positive attitude toward COVID-19 vaccination among the population reflected the strong demand for the vaccine and the high recognition of the importance of vaccines in controlling pandemic specially during second wave and news in media regarding a probable third wave by the end of 2021. Our study is in line with a study conducted by Jeffery et al. which showed majority (71.5%) of the surveyed individuals were likely to accept the vaccine.11 We found that about one third of study participants (29.5%) held strong beliefs about the efficacy of COVID-19 vaccination, as 70.5% thought that vaccination is an effective way to prevent serious COVID-19 illness, even though the vaccine is still not available to all at the time of survey. Additionally, we observed age-related associations with vaccine acceptance. Younger people (90.9%) were more likely to report that they would get a COVID-19 vaccine, compared to people in the age-group of 45 years and above (55.9%), the difference being statistically significant (p<0.0001). similarly, men in this study were less likely than women (82% vs 91.3%) to accept COVID-19 vaccine which was also found by Jeffrey et al. in a global survey.11

Unwillingness to receive COVID-19 vaccine was high (44.1%) among the older age-group compared to the younger age-group (9.1%) in our study. This differs from the vaccine acceptance rates among the older population of Saudi-Arabia and US, where higher prevalence of COVID-19 vaccine acceptance were found.12, 13 This is peculiar to the sub-population of Low and Middle income Countries (LMICs) and seeks special attention for this vulnerable group.

Although a high willingness for COVID-19 vaccine was observed in our study, there are still some barriers in the process of moving from the vaccination intention to real uptake behaviour. However, broader public health campaigns to include those who are already willing may also be beneficial in helping them to engage more effectively when they encounter misinformation.14 Around one third of respondents (27.6%) with vaccination intention would delay vaccination until the safety of the vaccine is confirmed, and concerns or uncertainty about vaccine safety led to their vaccine hesitation. Public concern about vaccine safety has frequently been reported as the major obstacle to vaccination decision-making, especially for newly introduced vaccines which have not been fully tested in the real world.15, 16, 17 For example, 13% of Australian people stated that they would wait to see if there were any adverse events before agreeing to get vaccinated, while their acceptance rate was as high as 67%.18 As the majority (86.2%) of respondents had the intention of getting vaccinated, it is meaningful to identify other barriers or facilitators to their vaccination decision on whether to accept vaccination as soon as possible. Vaccine acceptance was found to be high in those individuals who were more confident about vaccine safety than those who were not confident about vaccine safety (96.9% vs 66.66%; p value < 0.001). The risk perception of respondents was an important predictor for vaccination acceptance, as those who perceived a high or very high risk of infection were more likely to get vaccinated as soon as possible instead of delaying it. Those participants who have COVID-19 patients in their family/ friends were more likely to take the vaccine (p<0.001). Future vaccine communication strategies should consider the level of attitude and belief, scientific and general literacy in community, identify national icons and locally trusted sources of information19 and go beyond simply pronouncing that, vaccines are safe and effective. Furthermore, we found that those who valued doctor’s recommendations tended to get vaccinated immediately, while those who valued vaccination convenience or vaccine price in decision-making tended to opt for delayed vaccination. Strategies to build vaccine literacy and acceptance should directly address community-specific concerns or misconceptions, address historic issues breeding distrust and be sensitive to religious or philosophical beliefs.20, 21

Conclusion

During the second wave of pandemic a strong demand for and high level of acceptance of COVID-19 vaccination was observed among the general population of U.P., Northern India while concerns about vaccine safety may hinder the vaccine uptake. To expand vaccination coverage, immunization programs should be designed to remove barriers in terms of vaccine price and vaccination convenience, and health education and communication from authentic sources are important ways to alleviate public concerns about vaccine safety.

Recommendations

Our findings are useful for designing effective vaccination strategies and immunization programs for those with vaccine hesitancy for COVID-19. A careful balance is required between educating the community about the need for universal vaccine coverage and overcoming various barriers. This may be done in following ways:

  1. Influential community-based groups such as local and family physicians and non-governmental organizations (NGOs), are required to help build trust in the COVID-19 vaccines.

  2. Interventions focusing on improving healthcare workers’ confidence and communication skills are required.

  3. Flyers and handouts, social media messages, and posts explaining how & where members of the public can find reliable and accurate information about the vaccines are required.

Limitations

This survey was conducted in the context of a highly dynamic and changing landscape, with daily variations in perceived disease threat and COVID-19 vaccine development itself. Despite the diversity of the sample and the rich demographic measures, it may have been possible that more extreme views on vaccines were not adequately captured or that certain specific sub-groups within the population may not have been fully represented. Furthermore, only participants who have access to the internet and using the social media platform could participate in the study, hence restricting the generalizability.

Ethical Approval

Ethical approval for this study was obtained from the Institutional Ethical Committee (IEC) of BRD medical College, Gorakhpur, U.P., India vide letter no. (IEC/BRD/134/2021). Participation in the study was voluntary. Online written informed consent was obtained from each participant and the anonymity of the participants was maintained.

Ethical Considerations

This study was approved by Institute Ethical Committee of BRD Medical College, Gorakhpur (U.P.). The purpose of the study was explained and the participation was entirely voluntary. Informed consent was obtained from the participants.

Authors’ Contributions

Study concept and design: IAK, MAB; Acquisition of the data: HCT, IAK; Analysis and interpretation of the data: HCT, MAB; Drafting of the manuscript: IAK, MAB; Critical revision of the manuscript for important in­tellectual content: HCT, MAB.

Acknowledgments

We are thankful to Dr. DK Srivastava, Professor and Head, Department of Community Medicine, BRD Medical College, Gorakhpur, U.P. for his guidance in conducting this study. We are also grateful to all the study participants who provided their valuable opinions in this study.

Source of Funding

None.

Conflict of Interest

None.

References

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Received : 08-11-2021

Accepted : 29-12-2021


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