Analysis of hesitancy and motivational factors for COVID-19 vaccination among patients presenting to eye care hospitals – A multicenter questionnaire-based survey : Indian Journal of Ophthalmology

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Original Article

Analysis of hesitancy and motivational factors for COVID-19 vaccination among patients presenting to eye care hospitals – A multicenter questionnaire-based survey

Kaur, Kirandeep; Annamalai, O1; Gurnani, Bharat2,; Rekha, Sreedhar3; Jayashree, B4; Venugopal, Anitha5; Narendran, Kalpana6; Ravilla, Sathya T7; PR, Aswin8; Venkatesh, Rengaraj1

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Indian Journal of Ophthalmology 70(10):p 3650-3657, October 2022. | DOI: 10.4103/ijo.IJO_618_22
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Abstract

The first case of coronavirus disease 2019 (COVID-19) infection was reported in Wuhan, China, in December 2019. Since then, the infection has rapidly spread worldwide and was labeled a pandemic by the World Health Organization (WHO). The pandemic resulted in high morbidity and mortality, creating panic among the masses. Governments have incorporated various measures globally to safeguard their citizens. Strict guidelines like lockdowns, compulsory masks, frequent hand sanitization, and social distancing have been implemented.

At the community level, people have been encouraged to work from home. Schools and colleges have been shut down, and traditional teaching has been replaced by online classes and e-learning. As of January 2022, amidst the third wave, the total number of COVID-19 cases in India crossed 3.95 billion and the total number of reported deaths crossed 0.49 million.[1] From the past experiences, one of the most compelling and proven ways of ending similar pandemics include immunization of the susceptible population at a large scale. The dire need for vaccination provoked many nations to develop the vaccine faster. Vaccination is proven to reduce the incidence of severe disease and adverse outcomes in terms of mortality.[2] An effective vaccination protects the individual and slows down the community spread by generating herd immunity.[3] The extensive efforts by the government for mass vaccination were observed in the form of free vaccination from government hospitals and subsided rates in private hospitals. To date, officially, 0.28 billion people have been vaccinated in India. Though the overall numbers might look impressive, these numbers are from a country with a 1.36 billion population.[4] Several factors hamper the vaccination drive, but the major ones are the availability and acceptance of the vaccine. So, understanding the reasons for both acceptance and hesitancy for vaccination will help end this pandemic. Vaccine hesitancy is one of the significant challenges in health-care delivery. A survey in the USA showed that only 68.57% of respondents were willing to receive the COVID-19 vaccine.[5] The acceptance of the vaccine among the general population seems questionable due to various factors. The rapid development of the vaccine, uncertainty about long-term protection, need for repeated vaccination due to the emergence of newer COVID-19 genetic variants, and adverse drug reactions post-vaccination are some crucial reasons worldwide for vaccine hesitancy.[67]

After a detailed literature review, we found that an analysis of the patterns of acceptance or resistance toward the approved vaccinations was lacking from a large nation like India. This study surveyed the patients presenting to the eye hospitals to understand their knowledge and attitude toward vaccination, perception of physical and mental health during the pandemic, vaccination status, and willingness for vaccination, and identify the personal or social factors associated with vaccination hesitancy. Additionally, we evaluated the motivational and hesitancy factors among the vaccinated and unvaccinated groups, respectively. This will help understand the target groups and barriers (mental/personal/social), which will assist the government and health authorities in improving vaccination uptake.

Methods

This was a multicentric, cross-sectional, online questionnaire-based survey done across six tertiary eye care centers at Pondicherry, Madurai, Tirunelveli, Coimbatore, Chennai, and Tirupati and one secondary eye care center at Kovilpatti in South India. The study was conducted from July 1 to July 30, 2021, after obtaining ethical approval from the hospital’s Institutional Review Board. The study adhered to the tenets of the Declaration of Helsinki. A pre-validated questionnaire [Appendix 1] was uploaded on the Google forms and was administered to the patients turning to the outpatient department. The patients were telephonically surveyed by the local study coordinators, who were formally trained to standardize the questionnaire administration. Patients more than 18 years of age and willing to participate in the study signed the consent form during registration. The patients were then contacted over their phones during the waiting period. Patients not willing to participate, those with hearing problems, presenting with emergency ocular conditions like pain/trauma, systemically unfit patients, pediatric patients, or patients without personal phones were excluded from the study.

F1
Appendix 1

The questionnaire consisted of 36 questions in five sections, including the patients’ demographics, health status, awareness about vaccination, factors contributing to hesitancy or acceptance to vaccinate, and the general perception about the vaccine. The responses recorded were extracted into Google Excel sheets and coded, and were then extrapolated for statistical analysis.

All statistical analyses were carried out using STATA 14.0 (StataCorp LLC., College Station, TX, USA). Descriptive data were represented as frequency and percentages for categorical parameters. Mean and standard deviations (SDs) were used for continuous parametric data, while median and interquartile ranges (IQRs) were used for nonparametric data. Parametric statistical tests were used if the data were distributed normally, and nonparametric tests were performed for skewed data. The normality of data was checked using the Shapiro–Wilk test and Box–Whisker plot. The Chi-square test was used to find the association between categorical variables. P value ≤0.05 was considered statistically significant.

Results

Sociodemographic characteristics

A total of 5033 patients were surveyed, including 992 from Tirunelveli, 932 from Pondicherry, 806 from Madurai, 800 from Chennai, 624 from Coimbatore, 593 from Tirupati, and 286 from Kovilpatti center. The age of the patients ranged from 18 to 93 years, with a mean age (±SD) of 49.0 ± 14.2 years. The male: female ratio was 1.1:1. Among the participants, 846 (16.8%) never attended school, 989 (19.6%) had elementary education, 1496 (29.7%) had high school education, and 1702 (33.9%) were either diploma holders, graduates, or postgraduates. There were 2391 (47.5%) urban, 772 (15.3%) semi-urban, and 1870 (37.2%) rural participants. The sociodemographic characteristics of the study population are summarized in Table 1.

T1
Table 1:
Demographic details of patients included in our study

Health and COVID-19

Participants were questioned about their physical health perception. A total of 4628 (92%) participants considered themselves physically healthy, and 405 (8%) had negative health perceptions. A total of 2641 (52.5%) reported to be in a relaxed state of mind, 1812 (36%) reported mood swings, and 580 (11.5%) complained of mental stress. The perception of contracting COVID-19 infection was present among 2472 (49.1%) participants, while 2561 (50.9%) felt unlikely to get infected. A total of 563 (11.2%) participants either had symptoms or were tested positive for COVID-19, and 1008 (20%) gave a history of COVID-19 in close family members. The details of health-related questions are presented in Table 2.

T2
Table 2:
Responses obtained for health-related questions

Vaccination related responses

A total of 2225 (44.2%) participants were vaccinated against COVID-19. The maximum proportion of vaccinated patients was from Tirupati (72.5%), followed by Coimbatore (50.5%), and the least was from Tirunelveli (34.0%). A total of 2078 (41.3%) patients showed preference toward Covishield (AstraZeneca, Serum Institute of India, Pune, India), followed by 1343 (26.7%) who gave a neutral response and agreed to accept whichever vaccination was available to them. Another 992 (19.7%) preferred Covaxin (Bharat Biotech International Limited, Hyderabad, India). Among the respondents, 3886 (77.2%) felt that the available vaccines against COVID-19 have been sufficiently tested and are safe. A good number of 2883 (56%) participants knew that there is a chance of getting infected despite vaccination, but vaccination will prevent severe disease/negative outcomes. In total, 4012 (80%) participants believed that everyone in the community should get vaccinated to end this pandemic, and 4092 (81.3%) believed that vaccination should be made compulsory by the government authorities. The details of COVID-19 vaccination-related variables have been elaborated in Table 3.

T3
Table 3:
The different responses obtained regarding COVID-19 vaccine

Hesitancy and motivational factors

We found that out of the unvaccinated 2808 people, 727 (25.9%) showed willingness for vaccination. Another 487 (17.3%) expressed their fear toward vaccination-related side effects, and 373 (13.3%) felt unfit for vaccination either because of systemic comorbidities or recent surgery. Approximately 10.5% (n = 297) felt vaccines are not effective in stopping the COVID-19 spread and 5.2% (n = 145) felt that there is insufficient information regarding the vaccination. The details of the various vaccination hesitancy factors have been presented in Table 4a.

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Table 4a:
The common reasons for hesitancy toward vaccine in our study

Among the 2225 vaccinated people, the fear of getting infected or infecting family members was the most common reason for acceptance (40.9%). Another 621 (27.9%) agreed that they believed in the efficacy and safety of vaccination. Details of different motivational factors have been given in Table 4b.

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Table 4b:
The reasons for acceptance of vaccine

Correlation between various factors and vaccination

We found that the proportion of vaccinated people significantly increased with the educational status and age (P < 0.001). Further, among the unvaccinated, the willingness to vaccinate was more among the graduates (P < 0.001). There was a significantly higher proportion of males (49.3%) who were vaccinated, compared to females (38.4%) (P < 0.001). Participants from rural areas were less vaccinated than those from urban and semi-urban areas (P = 0.033). Despite the vaccination being available free of cost, those with better income had a greater acceptance for vaccination (P < 0.001), that is, 39.9% of those with an annual income of less than 200,000 INR were vaccinated as against 69.5% with a yearly income of more than 500,000 INR. The proportion of vaccinated versus non-vaccinated was found to be the highest among the professionals (59.8%), followed by office workers (56.5%), while it was the lowest among housewives (37.8%) followed by laborers (35.5%) [Table 5].

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Table 5:
Association between different parameters and status of vaccination

Discussion

Despite vaccination being available for around 4 months before the study, less than half of the study participants were vaccinated. As per the national data, as of July 30, 2021, only 7.3% of the total population was double vaccinated and another 19% received a single dose. This implies that a large proportion of unvaccinated people visit crowded places like hospitals. Since the onset of the COVID-19 pandemic, appropriate personal behaviors like face masks, hand hygiene, and social distancing have been made mandatory. The long-term control of the pandemic hinges on vaccination uptake. The massive leap in developing effective and safe vaccines against COVID-19 within a short period is unprecedented.[8910] Despite this massive success, there are factors like availability, acceptance, cost, duration of immunity, effectiveness over mutant strains, and support from the respective governmental bodies, which affect the successful coverage and protection of the population. Vaccine hesitancy can be a limiting step in the global efforts to control the current pandemic.[1112] Through recent studies, it has been found that close to 60%–75% immune individuals would be necessary to halt the COVID-19 virus transmission.[1314] Keeping this in mind, it becomes imperative to understand the hesitancy factors or barriers that might drive people away from vaccination.

In our study, we interviewed 5033 participants across seven eye care centers. The age of the majority of patients ranged from 46 to 60 years (39.2%), indicating that eye care was most sought by the elderly. This is similar to our experience during the first wave when people over 50 sought eye care the most.[15] According to WHO, the elderly age group is at maximum risk from the virus, though in the second wave, a shift toward younger age was experienced.[16] Thus, it is essential to motivate all the age groups to undergo vaccination to prevent severe outcomes.

COVID-19 has come with many uncertainties leading to severe physical and mental health concerns. We found that 4628 (92%) respondents felt physically healthy, while only 2641 (52.5%) felt mentally relaxed. Wang et al.,[17] in their study from China, found that 53.8% of participants reported moderate to severe psychological impact and 16.5% reported moderate to severe depressive symptoms. Thus, it is vital to identify the vulnerable groups and prepare the health-care systems for early psychological intervention. Health authorities could consider providing psychoeducation through social media like television, radio, or Facebook.

Asefa et al.[18] interviewed waiters and found that 53.4% had high-risk perceptions concerning COVID-19. Another study by Bruin et al.[19] from the USA found that the median perceived risk for COVID-19 infection and fatality was 10% and 5%, respectively. In our study, we found that 2472 (49.1%) respondents felt themselves at risk of acquiring COVID-19 infection. Almost consistent results were seen across all centers, except Kovilpatti, where a steep rise in cases was experienced during the second wave, and 74.1% of patients feared COVID-19 infection [Table 6]. The overall high-risk perceptions in our study could be related to the study period, as it was conducted during the second wave peak in India.

T7
Table 6:
Demographic and risk factors from different study centers (online only)

A total of 44.2% of participants reported being vaccinated at the time of the study. We further noted that in the > 60 years group, 47.5% were vaccinated, followed by 46.9% in the 46–60 years group, 40% in the 31–45 years group, and 39% in the 18–30 years group. Our numbers follow the overall estimates in the country, where 47.2% above 60 and 43.8% above 45 were reported to have received at least a single dose of vaccination.[20] This could serve as an important indirect indicator that patients presenting for eye care closely resembled the general population. The delayed vaccination approval for 18–40 years could be related to the lesser vaccinated individuals in this group.

A marked preference was seen toward the Oxford–AstraZeneca (Covishield; Serum Institute of India) vaccine, as 2078 (42%) participants expressed willingness to receive the same. This was followed by 1343 (26.7%) participants, who said they would accept any approved vaccine made available to them. Another 992 (20%) preferred Covaxin (Bharat Biotech International Limited). These differences could probably be due to vaccination advocacy through newspapers, television, and social media. People would have heard Covishield more frequently, as this was the first vaccine made available widely in the country.

The Indian government constituted a National Expert Group on Vaccine Administration for COVID-19 (NEGVAC) to coordinate the vaccination drive in India.[21] There have been massive efforts from the government and high-level coordination at national, state, and district levels for effective collaboration behind effective vaccination drive. We found that 3886 (77%) respondents believed the vaccines to be sufficiently tested and safe. The chance of acquiring infection post-vaccination, but in a milder form, was known to 2833 (56%) participants. A total of 3773 (75%) participants felt that sufficient information had reached the community, and 4012 (79.7%) agreed that vaccination is the way to end this pandemic. Positive responses like these serve as a motivational factor that countries with huge populations like India can effectively control the COVID-19 spread through mass vaccination campaigns.

Among the unvaccinated group, 727 (26%) participants showed willingness for vaccination. The important hesitancy factors noted in our study included fear of side effects following vaccination among 487 (17.3%), prior vaccine-related complication (376 [13.4%]), comorbidities or immunosuppression (373 [13.3%]), and lack of belief in the vaccine efficacy (294 [0.5%]). The reasons for vaccine hesitancy have been studied in various demographic and ethnic groups. Robertson et al.[22] found the most common hesitancy factor as unknown future effects of the vaccine (42.7%). Another study by Dror et al.[23] reported concerns related to quality control and side effect profiles as the most significant barrier among the Israeli health-care providers and civilians. Another study by Soares et al.[24] found a low confidence in the COVID-19 vaccines and a lack of sufficient information about safety and efficacy as the most critical factors. Thus, overall, the most common hesitancy factors are related to concerns regarding vaccine safety and side effects. Awareness about minor side effects like fever, body aches, and reassurance can allay the psychological fears, thus improving the vaccination uptake. Social media should be utilized “for the vaccination” movement and closely monitored to prevent the spreading of any misinformation.[2526]

The most important motivating factor among the vaccinated group was the fear of getting infected/infecting family members (911 [40.9%]). This was followed by belief in safety and efficacy of vaccine (621 [27.9%]) and motivation by physician/family/friends (152 [6.8%]). Robertson et al.[22] found willingness to avoid the infection (54.6%) and want of normal social and family life (12.5%) as the primary motivational factors. Dror et al.,[23] in their study from Israel, found that the most significant positive predictor for acceptance of the COVID-19 vaccine was the current influenza vaccination status. Thus, it can be assumed that those who had a greater fear of getting infected were more likely to accept vaccination. Currently, we all fear another deadly wave of COVID-19. It would be in the community’s best interests to drive the vaccination campaign and increase the acceptance rates to achieve herd immunity.

The factors associated with relatively higher vaccination hesitancy included younger age (P < 0.001), female gender (P < 0.001), lower education (P < 0.001), lower income (P < 0.001), no previous COVID-19 infection (P < 0.001), housewives and laborers (P < 0.001), and rural residence (P = 0.33). The initial phase of the vaccination campaign was mainly directed at the older age group due to higher mortality, and consequently, there is a lower proportion of young, vaccinated individuals. Females in rural areas do not venture outside their homes and probably do not feel the need for vaccination. Other probable reasons for hesitancy might include taking care of family members at home or fear of missing serving the family with meals post-vaccination. To add to that, lower education or economic status may result in poor awareness and lower desire for vaccination. Nevertheless, they are part of our community, and herd immunity cannot be achieved by ignoring them. Thus, it is important to proactively target these groups and motivate them to improve acceptance.

The study has a few limitations. First of all, the study participants were patients presenting for eye care and not the general population. Secondly, the vaccination status was self-reported, and no proof check was done. Thirdly, even a single dose of vaccination was considered as status “vaccinated.” Further, as this is a questionnaire-based study, certain responses like the mental health status of the respondent are subjective in nature. The strengths of the study lie in the large sample size and the multicentric nature of the study. We believe that our study results can give an insight about the massive efforts of the government in its fight against COVID-19 and, at the same time, provide us an overview of the vaccination status and attitude of patients presenting for eye care toward COVID-19 vaccination.

Conclusion

Our study has important practical implications for public health policy. We found that 44.2% of participants were already vaccinated, and almost a quarter of the unvaccinated group showed a willingness to get vaccinated and were waiting due to unavailability of vaccine. The fear of side effects post-vaccination was the most common hesitancy factor and the fear of getting infected was the most common motivational factor among the study population. We also identified factors such as female gender, younger age, lower income, lesser-educated groups, and rural population to show higher rates of vaccination hesitancy. Vaccine hesitancy is a complex problem, and a targeted approach is needed to increase the uptake. We believe these results will help the public health authorities to organize campaigns to address hesitancy factors among the vulnerable groups. Full endorsement from the government regulatory bodies is likely to increase the confidence of the public related to vaccination.

Consent for publication

The author(s) declare that appropriate written consent has been obtained from the study participants.

Ethical approval statement

Ethical approval was obtained from the institutional review board. Approval number: AEH/PDY/EC/OA/114/2021.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.

Acknowledgements

The authors want to extend sincere thanks to Mr. Logesh, biostatistician, for helping them with the results.

References

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Keywords:

COVID-19; hesitancy; questionnaire; survey; vaccination

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