Next Article in Journal
Social Environmental Predictors of COVID-19 Vaccine Hesitancy in India: A Population-Based Survey
Next Article in Special Issue
A Social Cognitive Theory Approach to Understanding Parental Attitudes and Intentions to Vaccinate Children during the COVID-19 Pandemic
Previous Article in Journal
Identifying Modifiable Predictors of COVID-19 Vaccine Side Effects: A Machine Learning Approach
Previous Article in Special Issue
Intolerance of Uncertainty and Attitudes towards Vaccination Impact Vaccinal Decision While Perceived Uncertainty Does Not
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Prevalence and Factors Associated with Caregivers’ Hesitancy in Immunizing Dependent Older Adults with COVID-19 Vaccines: A Cross-Sectional Survey

by
Saran Thanapluetiwong
1,
Sirintorn Chansirikarnjana
1,
Piangporn Charernwat
1,
Krittika Saranburut
2 and
Pichai Ittasakul
3,*
1
Division of Geriatric Medicine, Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand
2
Cardiovascular and Metabolic Center, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand
3
Department of Psychiatry, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand
*
Author to whom correspondence should be addressed.
Vaccines 2022, 10(10), 1748; https://doi.org/10.3390/vaccines10101748
Submission received: 8 September 2022 / Revised: 13 October 2022 / Accepted: 17 October 2022 / Published: 19 October 2022

Abstract

:
Background: Coronavirus disease 2019 (COVID-19) vaccinations have been proven to prevent hospitalization and mortality. However, some caregivers may be hesitant to authorize COVID-19 vaccination of people under their care. Our study aimed to evaluate factors associated with caregiver hesitancy to authorize vaccination of dependent older adults. Method: We conducted a cross-sectional telephone survey of vaccine hesitancy among caregivers of dependent older patients in the geriatric clinic of Ramathibodi Hospital. Caregivers were contacted and interviewed by trained interviewers from 20 June to 25 July 2021. Results: The study enrolled 318 participants with a mean age of 55.9 years. The majority of the participants were the patients’ children (86.5%). In total, 39.9% of participants were hesitant to authorize COVID-19 vaccination of the older adults under their care. Factors associated with caregiver vaccine hesitation were uneasiness, anxiety, agitation, sadness, and worry in association with social distancing, refusal to receive a COVID-19 vaccine, and concern about vaccine manufacturers. Conclusion: The prevalence of caregiver hesitancy to allow older adults to undergo COVID-19 vaccination was relatively high, and several factors associated with this vaccine hesitancy were identified. These findings may aid efforts toward COVID-19 vaccination of dependent older adults.

1. Introduction

The coronavirus disease 2019 (COVID-19) pandemic began in January 2019 [1], and over 400 million people worldwide had been infected by March 2022 [2]. Some of those people developed the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections, leading to high morbidity and mortality rates. In Thailand, there have been 2.9 million confirmed COVID-19 cases and over 22,000 deaths as of 2 March 2022 [3]. The elderly are among the most vulnerable groups in terms of SARS-CoV-2 infection [4,5,6,7]. According to a report by the World Health Organization (WHO), the COVID-19 mortality rate of older people in Thailand was 7.4%, compared with 0.98% for the general population [8].
COVID-19 vaccinations can prevent infection, hospitalization, and mortality [9,10,11]. However, as SARS-CoV-2 evolved over time, from the wild-type to the now-predominant Omicron variant [12], COVID-19 vaccine effectiveness seemed to wane, and booster doses were required [13,14]. Despite the efficacy of the vaccines and the higher mortality rates of COVID-19, some older adults were still hesitant to receive one. The Strategic Advisory Group of Experts on Immunization of the WHO defined vaccine hesitancy as a delay in acceptance of vaccination, or refusal of vaccination despite the availability of vaccination services [15,16]. One systematic review and meta-analysis reported prevalence rates of unwillingness and uncertainty to receive a COVID-19 vaccine of 27.0% and 19.3%, respectively, in older adults. In a US study, factors associated with vaccine unwillingness were a low income, low level of education, and Hispanic ethnicity [17].
In our previous study, the prevalence of COVID-19 vaccine hesitancy among Thai seniors was relatively high; 44.3% of this group were hesitant to get the COVID-19 vaccine [18]. In our geriatric clinic, it was observed that some older patients depend on their caregivers due to underlying conditions. Thus, they lack the capacity to make their own vaccination decisions. In such cases, the caregivers, who are typically family members, need to make the decision regarding COVID-19 vaccination on behalf of the patient [19]. However, some caregivers refuse to authorize COVID-19 vaccination of patients under their supervision. The goal of this study is to determine the factors that contribute to hesitancy among caregivers to authorize vaccination for the dependent older adults under their care. The findings of this study could improve COVID-19 vaccination rates among dependent older adults.

2. Materials and Methods

2.1. Setting and Study Design

The Human Research Ethics Committee of the Faculty of Medicine, Ramathibodi Hospital, Mahidol University (COA. No. MURA2021/1063) approved the study protocol. We conducted a cross-sectional telephone survey of vaccine hesitancy (as defined above) among caregivers of older patients in the geriatric clinic of Ramathibodi Hospital, which provides tertiary care for this group. Patients aged ≥ 60 years who visited a geriatric clinic in the past 2 years were identified in the hospital database. Patients who were independent and could make their own decisions to undergo COVID-19 vaccination were excluded from the study. The dependent patients were older patients with physical and mental dependence, as well as cognitive impairment. Caregivers of dependent patients who identified themselves as the patients’ representatives, responsible for making COVID-19 vaccination decisions on their behalf, were invited to take part in this study. All participants provided verbal informed consent, which was obtained according to the approved verbal informed consent protocol of the Human Research Ethics Committee of the Faculty of Medicine, Ramathibodi Hospital, Mahidol University. We did not obtain written informed consent because we conducted a telephone survey, and it was inconvenient for participants to sign written informed consent forms and handle documents during the pandemic. The consenting participants were interviewed by a trained interviewer. The survey was performed by telephone from 20 June to 25 July 2021. The study was conducted according to the Declaration of Helsinki and Good Clinical Practice guidelines [20].

2.2. Questionnaire

The questionnaire used in this study was developed after a review of the literature [21,22,23,24,25,26,27,28,29,30,31,32,33]. A consensus was reached among experts, including psychiatrists and geriatricians. The questionnaire was divided into five sections: caregiver sociodemographic data, patient sociodemographic data, medical history, COVID-19 pandemic-related information, and COVID-19 vaccine-related information. A pilot study (n = 10) was performed to improve the linguistic clarity of the survey items. The pilot data were not included in any subsequent analyses. The final version of the questionnaire typically required 30–45 min to complete. The questionnaire was originally developed in the Thai language.

2.2.1. Caregiver Sociodemographic Characteristics

Participants were asked about their sociodemographic characteristics, including age, gender, marital status, education, relationship with patient, employment status, monthly income, income loss due to COVID-19, and vaccination history [including the influenza, pneumococcal, zoster, and diphtheria-tetanus-pertussis (DTP) vaccines].

2.2.2. Patient Sociodemographic Characteristics and Medical History

The sociodemographic characteristics of the patients were collected in a similar manner as for the caregivers. In addition, the participants were asked to report the patients’ medical history, including body mass index (BMI), ambulation, hearing problems, visual problems, history of smoking and alcohol drinking, food and drug allergies, underlying diseases, cognitive complaints, hospitalization in the previous year, and perceived overall health status.

2.2.3. COVID-19 Pandemic-Related Information

Participants were questioned regarding their general knowledge of COVID-19, their primary source of information on COVID-19, confidence in governmental and public health agency information about COVID-19, confidence regarding the capacity of Thailand’s healthcare system to care for COVID-19 patients, confidence regarding governmental measures to control COVID-19 infection, self-perceived risk of being infected with COVID-19, self-perceived risk of developing a severe COVID-19 infection, attitudes toward social distancing, and intention to be vaccinated against COVID-19.

2.2.4. COVID-19 Vaccine-Related Information

Participants were questioned regarding their hesitancy to authorize COVID-19 vaccination of the patients under their care. They were asked if they knew people who had had a severe reaction to the COVID-19 vaccine, whether they intended to be vaccinated themselves, whether they had already received a COVID-19 vaccination, and whether they wanted those under their care to be vaccinated for COVID-19. They were also asked if they based their decision regarding their elderly dependents getting vaccinated on the manufacturer of the vaccine. Finally, the participants were also asked if they would still want their patients to receive a vaccination if the manufacturer was not that highly anticipated.
Respondents who were hesitant to allow their patients to receive a COVID-19 vaccine were questioned as to why that was the case, as were those willing to authorize vaccination.

2.3. Statistical Analysis

Nominal data, such as the presence of underlying disorders, are summarized as numbers and percentages of patients. Depending on the normality of the data distribution, continuous variables such as age are summarized as mean ± standard deviation (SD). To analyze categorical variables, the chi-square test or Fisher’s exact test was used, while an independent t test was used for continuous variables. Binary logistic regression was used to identify influencing factors. Only statistically significant factors in the univariable logistic regression model were included in the multivariable logistic regression model. SPSS for Windows software (ver. 26.0; IBM Corp., Armonk, NY, USA) was used for all statistical analyses. Statistical significance was defined as a p value < 0.05.

3. Results

Of the 1095 patients contacted, 318 (29.0%) had caregivers who declared themselves as the patients’ representatives; these caregivers were enrolled in the study (Figure 1). Among the 318 participants, 127 (39.9%) were hesitant to authorize COVID-19 vaccination for the dependent older adults under their care, whereas 191 (60.1%) showed no hesitancy.

3.1. Sociodemographic Characteristics

The sociodemographic data of the caregivers are shown in Table 1 and Table 2. The participants ranged in age from 26 to 91 years (mean ± SD age = 55.9 ± 11.5 years; age information was provided by 313 caregivers). Most of the caregivers were female (76.4%) and married (53.8%), with a bachelor’s degree or higher (87.1%). In total 86.5% of the caregivers were the children of the patients, while 9.1% were spouses and 4.4% were siblings.

3.2. Sociodemographic Characteristics and Medical History of Dependent Older Adults

The sociodemographic data of the dependent older patients are shown in Table 3 and Table 4. The mean ± SD age was 83.8 ± 8.4 years (range: 60–107 years). Most of the patients were female (73.6%) and of Thai ethnicity (93.1%). In total, 45.0% were married and 63.2% lived in Bangkok. Regarding health status, 19.2% of the patients were bedbound and 10.1% depended on tube feeding. Moreover, 84.6% of the patients had cognitive complaints, 61.0% were diagnosed with dementia, 31.4% had experienced a fall, and 30.2% were admitted to hospital at least once in the previous year.

3.3. COVID-19 Pandemic-Related Information

The results for the questionnaire items pertaining to COVID-19 pandemic-related information are provided in Table 5. Most of the participants (52.5%) thought that they knew “quite a lot” or “a lot” about COVID-19, and 43.4% stated that their source of COVID-19 information was television/radio. Caregivers who sometimes felt uneasy, anxious, agitated, sad, or worried when practicing social distancing were more hesitant to authorize COVID-19 vaccination of the dependent older adults under their care [odds ratio (OR) = 2.508; 95% confidence interval (CI): 1.400–4.491, p = 0.002] (Table 6).

3.4. COVID-19 Vaccine-Related Information

As shown in Table 5, 39.9% of the caregivers were hesitant to authorize COVID-19 vaccination of the older adults under their care, and 13.5% refused to authorize vaccination. In total, 96.2% of the caregivers intended to be vaccinated against COVID-19 themselves, while 76.7% had already been vaccinated. The most common reasons for COVID-19 vaccine hesitancy among the caregivers were concerns regarding adverse effects (40.2%), possible complications caused by an underlying disease (18.9%), and the belief that the vaccines are not effective for preventing COVID-19 infection (7.9%) (Figure 2). The most common reasons for supporting vaccination of older adults were as follows: COVID-19 vaccines can prevent severe infection and death (45.3%); dependent older adults are a vulnerable group (18.2%); and COVID-19 vaccines can prevent COVID-19 infection in older adults (14.5%) (Figure 3). Compared with caregivers exhibiting vaccine acceptance, those who refused to authorize COVID-19 vaccination of the dependent older adults under their care were more likely to show vaccine hesitancy (OR = 3.779; 95% CI: 1.652–8.648, p = 0.002). Caregivers who stated that the manufacturer of the COVID-19 did not influence their decision to authorize vaccination were less likely to exhibit vaccine hesitancy (OR = 0.267; 95% CI: 0.152–0.471, p < 0.001).

4. Discussion

To our knowledge, this study is the first study to investigate the hesitancy of caregivers to authorize COVID-19 vaccination for the dependent older adults under their care. In total, 318 caregivers were contacted and interviewed. We discovered that 39.9% of the participants were hesitant to allow the older persons under their care to be vaccinated. Caregivers who sometimes felt uneasy, anxious, agitated, sad, or worried when they practiced social distancing were more hesitant to authorize vaccination, as were caregivers who themselves refused COVID-19 vaccination. As expected, an unexpected vaccine manufacturer also contributed to hesitancy.
The proportion of caregivers hesitant to authorize COVID-19 vaccination of the older adults under their care was high. Practicing social distancing and anxiety have been linked with COVID-19 vaccine hesitancy [34,35,36], as has low compliance with social distancing [34,35]. This is in line with our finding that caregivers with anxiety were more vaccine-hesitant. We also found that COVID-19 vaccine refusal was associated with greater vaccine hesitancy among the caregivers. Caregivers who themselves refused to be vaccinated showed stronger intentions not to authorize vaccination of the older adults under their care, which is a barrier to achieving herd immunity. In some studies, patterns of COVID-19 vaccine hesitancy and refusal/rejection were relatively similar [37,38].
An unexpected vaccine manufacturer was among the factors associated with caregiver hesitation to authorize vaccination. When this study was conducted, Thailand was facing the emerging Delta COVID-19 variant, which caused a surge in cases [39]. Two COVID-19 vaccines were available: the Oxford- ChAdOx1 nCoV-19 vaccine (ChAdOx1 nCoV-19; AstraZeneca) and inactivated SARS-CoV-2 vaccine (CoronaVac). However, only ChAdOx1 nCoV-19 had proven efficacy against the Delta variant [40]. This could explain why the COVID-19 vaccine manufacturer affected the caregivers’ decisions. In this respect, the results of this study were similar to those of our previous study on older adults’ attitudes toward vaccines [18].
A recent systematic review and meta-analysis found that a low income and low levels of education were associated with higher vaccine hesitancy in older adults [17]; however, we could not replicate this finding. This may be explained by the income of most of the participants in our study being higher than the average of Thai people [41]. Furthermore, the majority of our caregivers (87.1%) had a bachelor’s degree or higher. In other words, our participants had a better baseline socioeconomic status than the general Thai population. Moreover, the factors influencing vaccine hesitancy might not be the same between caregivers and dependent older adults.
The main strength of our study was that it was the first to analyze the attitudes of caregivers toward COVID-19 vaccination of the older adults under their care. Given that caregivers play a crucial role in medical decision-making for dependent older adults, understanding caregiver attitudes is important for promoting COVID-19 vaccination among older adults. Our study also had some limitations. First, we enrolled participants from the hospital database of a geriatric clinic in a university hospital. Thus, the results should be interpreted with caution, especially as some participants refused to provide sensitive information such as their incomes, leading to missing data. Finally, although we demonstrated that various factors were associated with caregiver hesitancy to authorize vaccination of the older adults under their care, we could not demonstrate causality.

5. Conclusions

The proportion of caregivers in this study hesitant to authorize vaccination of the older adults under their care was relatively high. Feeling uneasy, anxious, agitated, sad, or worried when practicing social distancing, a refusal to be vaccinated against COVID-19, and an unexpected vaccine manufacturer were all linked to vaccine hesitation among caregivers. These findings may aid efforts to vaccinate dependent older adults against COVID-19. Strategies to help people cope with anxiety, vaccines with high efficacy in terms of preventing infection, and the provision of accurate information regarding the benefits of vaccination are necessary to improve vaccine acceptance.

Author Contributions

All authors were responsible for the conception and design of the study. S.T., S.C. and P.I. designed the study. S.T., S.C., P.C. and P.I. collected the data. S.T., K.S. and P.I. analyzed the data. S.T., S.C., K.S. and P.I. interpreted the data. S.T., S.C. and P.I. wrote the original draft of manuscript. P.I. and S.T. reviewed and edited the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research received funding support from the Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Grant number: RF 64129.

Institutional Review Board Statement

The study protocol was approved by the Human Research Ethics Committee of the Faculty of Medicine, Ramathibodi Hospital, Mahidol University (COA. No. MURA2021/1063). The study was conducted according to the Declaration of Helsinki and Good Clinical Practice guidelines.

Informed Consent Statement

All participants provided verbal informed consent, which was recorded according to a verbal informed consent protocol approved by the Human Research Ethics Committee of the Faculty of Medicine, Ramathibodi Hospital, Mahidol University. We did not obtain written informed consent because we conducted a telephone survey and it was inconvenient for participants to sign informed consent forms and handle documents during the COVID-19 pandemic.

Data Availability Statement

The datasets used and analyzed during the current study are available from the corresponding author upon reasonable request.

Acknowledgments

We would like to thank all of the interviewers and caregivers of older adults who participated in our research. We thank Michael Irvine, from Edanz (www.edanz.com/ac accessed on 12 October 2022) for editing a draft of this manuscript.

Conflicts of Interest

This research was supported by the Faculty of Medicine, Ramathibodi Hospital, Mahidol University. The funders had no role in the design of the study; in the collection, analysis, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Li, J.; Gong, X.; Wang, Z.; Chen, R.; Li, T.; Zeng, D.; Li, M. Clinical features of familial clustering in patients infected with 2019 novel coronavirus in Wuhan, China. Virus Res. 2020, 286, 198043. [Google Scholar] [CrossRef] [PubMed]
  2. World Health Organization (WHO). WHO Coronavirus (COVID-19) Dashboard. Available online: https://covid19.who.int/ (accessed on 5 March 2022).
  3. World Health Organization (WHO). Thailand Situation. Available online: https://covid19.who.int/region/searo/country/th (accessed on 24 July 2021).
  4. O’Driscoll, M.; Ribeiro Dos Santos, G.; Wang, L.; Cummings, D.A.T.; Azman, A.S.; Paireau, J.; Fontanet, A.; Cauchemez, S.; Salje, H. Age-specific mortality and immunity patterns of SARS-CoV-2. Nature 2021, 590, 140–145. [Google Scholar] [CrossRef] [PubMed]
  5. Pastor-Barriuso, R.; Perez-Gomez, B.; Hernan, M.A.; Perez-Olmeda, M.; Yotti, R.; Oteo-Iglesias, J.; Sanmartin, J.L.; Leon-Gomez, I.; Fernandez-Garcia, A.; Fernandez-Navarro, P.; et al. Infection fatality risk for SARS-CoV-2 in community dwelling population of Spain: Nationwide seroepidemiological study. BMJ 2020, 371, m4509. [Google Scholar] [CrossRef] [PubMed]
  6. Ward, H.; Atchison, C.; Whitaker, M.; Ainslie, K.E.C.; Elliott, J.; Okell, L.; Redd, R.; Ashby, D.; Donnelly, C.A.; Barclay, W.; et al. SARS-CoV-2 antibody prevalence in England following the first peak of the pandemic. Nat. Commun. 2021, 12, 905. [Google Scholar] [CrossRef]
  7. Yanez, N.D.; Weiss, N.S.; Romand, J.A.; Treggiari, M.M. COVID-19 mortality risk for older men and women. BMC Public Health 2020, 20, 1742. [Google Scholar] [CrossRef]
  8. World Health Organization (WHO) Thailand. COVID-19 Situation, Thailand 22 December 2021. Available online: https://cdn.who.int/media/docs/default-source/searo/thailand/2021_12_22_tha-sitrep-215-covid-19.pdf?sfvrsn=232b8cc4_5 (accessed on 5 March 2022).
  9. Haas, E.J.; Angulo, F.J.; McLaughlin, J.M.; Anis, E.; Singer, S.R.; Khan, F.; Brooks, N.; Smaja, M.; Mircus, G.; Pan, K.; et al. Impact and effectiveness of mRNA BNT162b2 vaccine against SARS-CoV-2 infections and COVID-19 cases, hospitalisations, and deaths following a nationwide vaccination campaign in Israel: An observational study using national surveillance data. Lancet 2021, 397, 1819–1829. [Google Scholar] [CrossRef]
  10. Jara, A.; Undurraga, E.A.; Gonzalez, C.; Paredes, F.; Fontecilla, T.; Jara, G.; Pizarro, A.; Acevedo, J.; Leo, K.; Leon, F.; et al. Effectiveness of an Inactivated SARS-CoV-2 Vaccine in Chile. N. Engl. J. Med. 2021, 385, 875–884. [Google Scholar] [CrossRef]
  11. Voysey, M.; Clemens, S.A.C.; Madhi, S.A.; Weckx, L.Y.; Folegatti, P.M.; Aley, P.K.; Angus, B.; Baillie, V.L.; Barnabas, S.L.; Bhorat, Q.E.; et al. Safety and efficacy of the ChAdOx1 nCoV-19 vaccine (AZD1222) against SARS-CoV-2: An interim analysis of four randomised controlled trials in Brazil, South Africa, and the UK. Lancet 2021, 397, 99–111. [Google Scholar] [CrossRef]
  12. World Health Organization (WHO) Thailand. Classification of Omicron (B.1.1.529): SARS-CoV-2 Variant of Concern. Available online: https://www.who.int/news/item/26-11-2021-classification-of-omicron-(b.1.1.529)-sars-cov-2-variant-of-concern (accessed on 5 March 2022).
  13. Accorsi, E.K.; Britton, A.; Fleming-Dutra, K.E.; Smith, Z.R.; Shang, N.; Derado, G.; Miller, J.; Schrag, S.J.; Verani, J.R. Association Between 3 Doses of mRNA COVID-19 Vaccine and Symptomatic Infection Caused by the SARS-CoV-2 Omicron and Delta Variants. JAMA 2022, 327, 639–651. [Google Scholar] [CrossRef]
  14. Andrews, N.; Stowe, J.; Kirsebom, F.; Toffa, S.; Rickeard, T.; Gallagher, E.; Gower, C.; Kall, M.; Groves, N.; O’Connell, A.-M.; et al. COVID-19 Vaccine Effectiveness against the Omicron (B.1.1.529) Variant. N. Engl. J. Med. 2022, 386, 1532–1546. [Google Scholar] [CrossRef]
  15. MacDonald, N.E.; SAGE Working Group on Vaccine Hesitancy. Vaccine hesitancy: Definition, scope and determinants. Vaccine 2015, 33, 4161–4164. [Google Scholar] [CrossRef] [PubMed]
  16. Strategic Advisory Group of Experts (SAGE) on Immunization. Report of the SAGE Working Group on Vaccine Hesitancy. Available online: https://www.who.int/immunization/sage/meetings/2014/october/1_Report_WORKING_GROUP_vaccine_hesitancy_final.pdf (accessed on 5 March 2022).
  17. Veronese, N.; Saccaro, C.; Demurtas, J.; Smith, L.; Dominguez, L.J.; Maggi, S.; Barbagallo, M. Prevalence of unwillingness and uncertainty to vaccinate against COVID-19 in older people: A systematic review and meta-analysis. Ageing Res. Rev. 2021, 72, 101489. [Google Scholar] [CrossRef]
  18. Thanapluetiwong, S.; Chansirikarnjana, S.; Sriwannopas, O.; Assavapokee, T.; Ittasakul, P. Factors associated with COVID-19 Vaccine Hesitancy in Thai Seniors. Patient Prefer. Adherence 2021, 15, 2389–2403. [Google Scholar] [CrossRef] [PubMed]
  19. Wongsawang, N.; Lagampan, S.; Lapvongwattana, P.; Bowers, B.J. Family caregiving for dependent older adults in Thai families. J. Nurs. Sch. 2013, 45, 336–343. [Google Scholar] [CrossRef] [PubMed]
  20. World Medical Association. World Medical Association Declaration of Helsinki: Ethical principles for medical research involving human subjects. JAMA 2013, 310, 2191–2194. [Google Scholar] [CrossRef] [Green Version]
  21. Callaghan, T.; Moghtaderi, A.; Lueck, J.A.; Hotez, P.; Strych, U.; Dor, A.; Fowler, E.F.; Motta, M. Correlates and disparities of intention to vaccinate against COVID-19. Soc. Sci. Med. 2021, 272, 113638. [Google Scholar] [CrossRef]
  22. Daly, M.; Robinson, E. Willingness to Vaccinate Against COVID-19 in the U.S.: Representative Longitudinal Evidence from April to October 2020. Am. J. Prev. Med. 2021, 60, 766–773. [Google Scholar] [CrossRef]
  23. Fridman, A.; Gershon, R.; Gneezy, A. COVID-19 and vaccine hesitancy: A longitudinal study. PLoS ONE 2021, 16, e0250123. [Google Scholar] [CrossRef]
  24. Kelly, B.J.; Southwell, B.G.; McCormack, L.A.; Bann, C.M.; MacDonald, P.D.M.; Frasier, A.M.; Bevc, C.A.; Brewer, N.T.; Squiers, L.B. Predictors of willingness to get a COVID-19 vaccine in the U.S. BMC Infect. Dis. 2021, 21, 338. [Google Scholar] [CrossRef]
  25. Kreps, S.; Prasad, S.; Brownstein, J.S.; Hswen, Y.; Garibaldi, B.T.; Zhang, B.; Kriner, D.L. Factors Associated with US Adults’ Likelihood of Accepting COVID-19 Vaccination. JAMA Netw. Open 2020, 3, e2025594. [Google Scholar] [CrossRef]
  26. Lin, C.; Tu, P.; Beitsch, L.M. Confidence and Receptivity for COVID-19 Vaccines: A Rapid Systematic Review. Vaccines 2020, 9, 16. [Google Scholar] [CrossRef] [PubMed]
  27. Loomba, S.; de Figueiredo, A.; Piatek, S.J.; de Graaf, K.; Larson, H.J. Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA. Nat. Hum. Behav. 2021, 5, 337–348. [Google Scholar] [CrossRef]
  28. Okubo, R.; Yoshioka, T.; Ohfuji, S.; Matsuo, T.; Tabuchi, T. COVID-19 Vaccine Hesitancy and Its Associated Factors in Japan. Vaccines 2021, 9, 662. [Google Scholar] [CrossRef] [PubMed]
  29. Robertson, E.; Reeve, K.S.; Niedzwiedz, C.L.; Moore, J.; Blake, M.; Green, M.; Katikireddi, S.V.; Benzeval, M.J. Predictors of COVID-19 vaccine hesitancy in the UK household longitudinal study. Brain Behav. Immun. 2021, 94, 41–50. [Google Scholar] [CrossRef] [PubMed]
  30. Soares, P.; Rocha, J.V.; Moniz, M.; Gama, A.; Laires, P.A.; Pedro, A.R.; Dias, S.; Leite, A.; Nunes, C. Factors Associated with COVID-19 Vaccine Hesitancy. Vaccines 2021, 9, 300. [Google Scholar] [CrossRef] [PubMed]
  31. Syed Alwi, S.A.R.; Rafidah, E.; Zurraini, A.; Juslina, O.; Brohi, I.B.; Lukas, S. A survey on COVID-19 vaccine acceptance and concern among Malaysians. BMC Public Health 2021, 21, 1129. [Google Scholar] [CrossRef]
  32. Wang, J.; Jing, R.; Lai, X.; Zhang, H.; Lyu, Y.; Knoll, M.D.; Fang, H. Acceptance of COVID-19 Vaccination during the COVID-19 Pandemic in China. Vaccines 2020, 8, 482. [Google Scholar] [CrossRef]
  33. Ward, J.K.; Alleaume, C.; Peretti-Watel, P.; Group, C. The French public’s attitudes to a future COVID-19 vaccine: The politicization of a public health issue. Soc. Sci. Med. 2020, 265, 113414. [Google Scholar] [CrossRef]
  34. Latkin, C.A.; Dayton, L.; Yi, G.; Colon, B.; Kong, X. Mask usage, social distancing, racial, and gender correlates of COVID-19 vaccine intentions among adults in the US. PLoS ONE 2021, 16, e0246970. [Google Scholar] [CrossRef]
  35. Rane, M.S.; Kochhar, S.; Poehlein, E.; You, W.; Robertson, M.K.M.; Zimba, R.; Westmoreland, D.A.; Romo, M.L.; Kulkarni, S.G.; Chang, M.; et al. Determinants and trends of COVID-19 vaccine hesitancy and vaccine uptake in a national cohort of U.S. adults: A longitudinal study. Am. J. Epidemiol. 2022, 191, 570–583. [Google Scholar] [CrossRef]
  36. Sekizawa, Y.; Hashimoto, S.; Denda, K.; Ochi, S.; So, M. Association between COVID-19 vaccine hesitancy and generalized trust, depression, generalized anxiety, and fear of COVID-19. BMC Public Health 2022, 22, 126. [Google Scholar] [CrossRef] [PubMed]
  37. Muhajarine, N.; Adeyinka, D.A.; McCutcheon, J.; Green, K.L.; Fahlman, M.; Kallio, N. COVID-19 vaccine hesitancy and refusal and associated factors in an adult population in Saskatchewan, Canada: Evidence from predictive modelling. PLoS ONE 2021, 16, e0259513. [Google Scholar] [CrossRef] [PubMed]
  38. Shih, S.F.; Wagner, A.L.; Masters, N.B.; Prosser, L.A.; Lu, Y.; Zikmund-Fisher, B.J. Vaccine Hesitancy and Rejection of a Vaccine for the Novel Coronavirus in the United States. Front. Immunol. 2021, 12, 558270. [Google Scholar] [CrossRef] [PubMed]
  39. World Health Organization (WHO). Coronavirus Disease 2019 (COVID-19) WHO Thailand Situation Report—22 July 2021. Available online: https://cdn.who.int/media/docs/default-source/searo/thailand/2021_07_22_eng-sitrep-193-covid19.pdf?sfvrsn=a0fdd5a7_3 (accessed on 5 March 2022).
  40. Lopez Bernal, J.; Andrews, N.; Gower, C.; Gallagher, E.; Simmons, R.; Thelwall, S.; Stowe, J.; Tessier, E.; Groves, N.; Dabrera, G.; et al. Effectiveness of COVID-19 Vaccines against the B.1.617.2 (Delta) Variant. N. Engl. J. Med. 2021, 385, 585–594. [Google Scholar] [CrossRef]
  41. Thailand Board of Investment. Thailand Economic Overview. Available online: https://www.boi.go.th/index.php?page=macroeconomics&language=th (accessed on 5 March 2022).
Figure 1. Study flow diagram.
Figure 1. Study flow diagram.
Vaccines 10 01748 g001
Figure 2. Reasons cited by caregivers for hesitancy to authorize COVID-19 vaccination of the older adults under their care.
Figure 2. Reasons cited by caregivers for hesitancy to authorize COVID-19 vaccination of the older adults under their care.
Vaccines 10 01748 g002
Figure 3. Reasons cited by caregivers for authorizing COVID-19 vaccination of the older adults under their care.
Figure 3. Reasons cited by caregivers for authorizing COVID-19 vaccination of the older adults under their care.
Vaccines 10 01748 g003
Table 1. Baseline characteristics of the caregivers (N = 318).
Table 1. Baseline characteristics of the caregivers (N = 318).
Baseline Characteristicsn%
Age (y) (n = 313)
<40278.5
40–5916050.3
≥6012639.6
Females24376.4
Marital status
Single 12940.6
Married17153.8
Divorced51.6
Widow134.1
Education level
Elementary school or lower123.8
High school299.1
Bachelor’s degree or higher27787.1
Current residence
Bangkok20163.2
Other province11736.8
Relationship with patient
Spouse299.1
Child27586.5
Sibling144.4
Employment status
Unemployed5417
Part-time 6520.4
Full-time 288.8
Retired17153.8
Monthly income (baht) (n = 239)
≤10,000 3715.5
10,001–20,0005020.9
20,001–50,00010845.2
≥50,0014418.4
Income loss due to COVID9529.9
History of vaccination
Influenza vaccine7022
Zoster vaccine29592.8
Pneumococcal vaccine27686.8
DTP vaccine13040.9
n, number; DTP, diphtheria-tetanus-pertussis.
Table 2. Baseline characteristics of caregivers: comparison between the vaccine acceptance and vaccine hesitancy groups.
Table 2. Baseline characteristics of caregivers: comparison between the vaccine acceptance and vaccine hesitancy groups.
CharacteristicsAcceptanceHesitancyχ2p Value
(n = 191)(n = 127)
n%N%
Age (y) (n = 313)
<40 136.90%1411.30%2.560.278
40–59 9550.30%6552.40%
≥60 8142.90%4536.30%
Female 14374.90%10078.70%0.6340.426
Marital status
Single 7338.30%5644.10%1.110.775
Married 10756.00%6450.40%
Divorced31.60%21.60%
Widow84.20%53.90%
Education level
Elementary school or lower63.10%64.70%0.5610.755
High school 189.40%118.70%
Bachelor’s degree or higher16787.40%11086.60%
Current residence
Bangkok *12967.50%7256.70%3.8590.049
Other province6232.50%5543.30%
Relationship with patient
Spouse2111.00%86.30%2.0470.359
Child16284.80%11389.00%
Sibling84.20%64.70%
Employment status
Unemployed3317.30%2116.50%0.4420.932
Part-time4121.50%2418.90%
Full-time168.40%129.40%
Retired10152.90%7055.10%
Monthly income (baht) (n = 239)
≤10,0002316.10%1414.60%0.3620.948
10,001–20,0003121.70%1919.80%
20,001–50,0006444.80%4445.80%
≥50,0012517.50%1919.90%
Income loss due to COVID5126.70%4434.60%2.2980.13
History of vaccination
Influenza vaccine4222.00%2822.00%00.99
Zoster vaccine17692.10%11993.70%0.2750.6
Pneumococcal vaccine16888.00%10885.00%0.5670.451
DTP vaccine8242.90%4837.70%0.8330.361
N, number; χ2, chi-squared; DTP, diphtheria-tetanus-pertussis. * p < 0.05.
Table 3. Baseline characteristics of the dependent older adults (n = 318).
Table 3. Baseline characteristics of the dependent older adults (n = 318).
Baseline Characteristicsn%
Age (y)
60–69 185.7
70–79 7724.2
80–89 14445.3
≥90 7924.8
Female23473.6
Ethnicity
Thai29693.1
Chinese226.9
Marital status
Single 196
Married 14345
Divorced82.5
Widow14846.5
Children living in the same home3611.3
Education
Elementary school or lower17856
High school 6119.2
Bachelor’s degree or higher7924.8
Accommodation
House/condominium30896.9
Nursing home103.1
BMI (n = 298)
<18.54213.2
18.5–22.912439
23–24.96520.4
25–305818.2
>3092.8
Ambulation
Bedbound6119.2
Ambulation25780.8
Feeding
Oral28689.9
Tube feeding3210.1
Hearing impairment10934.3
Visual problems
Blindness309.4
Visual impairment7423.3
Normal21467.3
History of smoking4915.4
History of alcohol consumption51.6
Food allergy134.1
Drug allergy8827.7
History of vaccination
Influenza vaccine28890.6
Zoster vaccine4915.4
Pneumococcal vaccine13442.1
DTP vaccine14044
Underlying disease
Diabetes9128.6
Chronic kidney disease3410.7
Respiratory disease3711.6
Psychiatric illness4012.6
Subjective cognitive complaints26984.6
Dementia diagnosis19461
History of falls in the past year10031.4
Hospitalization in the past year9630.2
Perceived overall health status
Worst/bad4012.6
Average12539.3
Good/best 15348.1
n, number; BMI, body mass index; DTP, diphtheria-tetanus-pertussis.
Table 4. Baseline characteristics of dependent older adults associated with caregiver hesitancy to authorize COVID-19 vaccination.
Table 4. Baseline characteristics of dependent older adults associated with caregiver hesitancy to authorize COVID-19 vaccination.
CharacteristicsAcceptanceHesitancyχ2p Value
(n = 191)(n = 127)
n%n%
Age (y)
60–69115.80%75.50%3.1320.372
70–794121.50%3628.30%
80–898645.00%5845.70%
≥905327.70%2620.50%
Female14073.30%9474.00%0.20.887
Ethnicity
Thai17591.60%12195.30%1.580.209
Chinese168.40%64.70%
Marital status
Single105.20%97.10%0.8460.839
Married8745.50%5644.10%
Divorced42.10%43.10%
Widow9047.10%5845.70%
Children living in the same home2111.00%1511.80%0.0510.822
Education level
Elementary school or lower10856.50%7055.10%0.2270.893
High school 3518.30%2620.50%
Bachelor’s degree or higher4825.10%3124.40%
Accommodation
House/condominium18797.90%12195.30%1.7330.206
Nursing home42.10%64.70%
BMI (n = 298)
<18.52513.70%1714.70%1.5950.81
18.5–22.97541.20%4942.20%
23–24.94022.00%2521.60%
25–303820.90%2017.20%
>3042.20%54.30%
Ambulation
Bedbound3015.70%3124.40%3.7270.054
Ambulation16184.30%9675.60%
Feeding
Oral17491.10%11288.20%0.7140.398
Tube feeding178.90%1511.80%
Hearing impairment6534.00%4434.60%0.0130.91
Visual problems
Blindness178.90%1310.20%1.2020.548
Visual impairment4121.50%3326.00%
Normal13369.60%8163.80%
History of smoking2814.70%2116.50%0.2060.65
History of alcohol consumption42.10%10.80%0.8420.652
Food allergy84.20%53.90%0.0120.912
Drug allergy5227.20%3628.30%0.0480.827
History of vaccination
Influenza vaccine17491.10%11489.80%0.1590.69
Zoster vaccine3417.80%1511.80%2.10.147
Pneumococcal vaccine8745.50%4737.00%2.2830.131
DTP vaccine8946.60%5140.20%1.2840.257
Underlying disease
Diabetes5729.80%3426.80%0.3520.553
Chronic kidney disease2312.00%118.70%0.9130.339
Respiratory disease2211.50%1511.80%0.0060.936
Psychiatric illness2111.00%1915.00%1.0910.296
Subjective cognitive complaints15882.70%11187.40%1.2810.258
Dementia diagnosis11258.60%8264.60%1.1270.288
History of falls in the past year5729.80%4333.90%0.570.45
Hospitalization in the past year5629.30%4031.50%0.1710.679
Perceived overall health status
Worst/bad199.90%2116.50%4.7370.094
Average7237.70%5341.70%
Good/best10052.40%5341.70%
n, number; χ2, chi-squared; BMI, body mass index; DTP, diphtheria-tetanus-pertussis.
Table 5. Associations of COVID-19 pandemic and vaccine-related information with caregiver hesitancy to authorize COVID-19 vaccination of the dependent older adults under their care.
Table 5. Associations of COVID-19 pandemic and vaccine-related information with caregiver hesitancy to authorize COVID-19 vaccination of the dependent older adults under their care.
COVID-19 Pandemic and Vaccine-Related InformationAcceptanceHesitancyχ2p Value
(n = 191)(n = 127)
n%n%
How much do you know about COVID-19?
Nothing2412.60%1511.80%0.0960.992
Little5729.80%3930.70%
Quite a lot10052.40%6752.80%
A lot105.20%64.70%
What is your primary source of COVID-19 information?
Television, radio8142.40%5744.90%7.0220.219
Newspapers10.50%32.40%
Friends3317.30%1612.60%
News websites2412.60%1511.80%
Social networks4423.00%3527.60%
Other84.20%10.80%
What is your level of confidence in governmental and public health information on COVID-19?
Not confident *2412.60%2217.30%9.8980.019
Quite unconfident3518.30%3124.40%
Quite confident10655.50%6954.30%
Confident2613.60%53.90%
How confident are you in Thailand’s healthcare system’s ability to treat COVID-19 patients?
Not confident178.90%129.40%7.6470.054
Quite unconfident2111.00%2822.00%
Quite confident11057.60%6551.20%
Confident4322.50%2217.30%
How effective are the government’s measures for controlling COVID-19 infection?
Insufficient7438.70%6853.50%6.8850.076
Somewhat insufficient7137.20%3628.30%
Somewhat sufficient4322.50%2217.30%
Sufficient31.60%10.80%
What is your risk of being infected with COVID-19?
Very low 2412.60%118.70%3.9740.264
Low 8946.60%5946.50%
High 5830.40%3527.60%
Very high 2010.50%2217.30%
What are the chances that you will experience a severe COVID-19 infection or associated life-threatening condition?
Very low2010.50%53.90%6.9330.074
Low8444.00%5744.90%
High6131.90%3829.90%
Very high2613.60%2721.30%
Do you feel uneasy/anxious/agitated/sad/worried when you have to practice social distancing?
Never *14575.90%7861.40%7.8590.049
Sometimes3819.90%4233.10%
Often63.10%53.90%
Always21.00%21.60%
Do you know anyone who has had a severe reaction to the COVID-19 vaccine?
No17189.50%10784.30%1.9320.165
Yes2010.50%2015.70%
Do you intend to be vaccinated against COVID-19?
No42.10%86.30%3.7140.071
Yes18797.90%11993.70%
Have you already been vaccinated against COVID-19?
No *3719.40%3729.10%4.0710.044
Yes15480.60%9070.90%
Do you refuse to authorize COVID-19 vaccination for the older adults under your care?
No *17591.60%10078.70%10.8270.001
Yes168.40%2721.30%
Did the manufacturer influence your decision to authorize COVID-19 vaccination for the older adults under your care?
No *10052.40%2822.00%29.137<0.001
Yes9147.60%9978.00%
Would you authorize COVID-19 vaccination for the older adults under your care if the manufacturer was different from what you expected?
No *3317.30%3225.20%11.6060.003
Yes12867.00%6148.00%
Unsure3015.70%3426.80%
n, number; χ2, chi-squared. * p < 0.05.
Table 6. Results of logistic regression analysis of caregiver hesitancy to authorize COVID-19 vaccination of the dependent older adults under their care.
Table 6. Results of logistic regression analysis of caregiver hesitancy to authorize COVID-19 vaccination of the dependent older adults under their care.
VariableUnivariateMultivariate
OR95% CIp ValueaOR95% CIp Value
Current residential area
BangkokRef
Other province1.5891.000–2.5270.051.4760.877–2.4860.143
What is your level of confidence in governmental and public health information on COVID-19?
Not confidentRef
Quite unconfident0.9660.455–2.0530.9291.1260.483–2.6270.784
Quite confident0.710.370–1.3650.3041.260.598–2.6560.543
Confident0.210.069–0.6420.0060.3740.111–1.2580.112
Do you feel uneasy/anxious/agitated/sad/worried when you have to practice social distancing?
NeverRef
Sometimes *2.0551.224–3.4490.0062.5081.400–4.4910.002
Often1.5490.458–5.2380.4811.540.392–6.0480.536
Always1.8590.257–13.4530.5391.3310.176–10.0830.782
Have you already had a COVID-19 vaccination?
No1.7111.013–2.8920.0451.2870.697–2.3760.419
YesRef
Do you refuse to authorize COVID-19 vaccination for the older adults under your care?
NoRef
Yes *2.9531.518–5.7450.0013.7791.652–8.6480.002
Did the manufacturer influence your decision to authorize COVID-19 vaccination for the older adults under your care? *
No *0.2570.155–0.427<0.0010.2670.152–0.471<0.001
YesRef
Would you authorize COVID-19 vaccination for the older adults under your care if the manufacturer was different from what you expected?
No2.0351.146–3.6120.0151.040.516–2.0960.913
YesRef
Unsure2.3781.334–4.2390.0031.2480.637–2.4460.518
OR, odds ratio; aOR, adjusted odds ratio; CI, confidence interval; Ref, reference group. * p < 0.05.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Thanapluetiwong, S.; Chansirikarnjana, S.; Charernwat, P.; Saranburut, K.; Ittasakul, P. Prevalence and Factors Associated with Caregivers’ Hesitancy in Immunizing Dependent Older Adults with COVID-19 Vaccines: A Cross-Sectional Survey. Vaccines 2022, 10, 1748. https://doi.org/10.3390/vaccines10101748

AMA Style

Thanapluetiwong S, Chansirikarnjana S, Charernwat P, Saranburut K, Ittasakul P. Prevalence and Factors Associated with Caregivers’ Hesitancy in Immunizing Dependent Older Adults with COVID-19 Vaccines: A Cross-Sectional Survey. Vaccines. 2022; 10(10):1748. https://doi.org/10.3390/vaccines10101748

Chicago/Turabian Style

Thanapluetiwong, Saran, Sirintorn Chansirikarnjana, Piangporn Charernwat, Krittika Saranburut, and Pichai Ittasakul. 2022. "Prevalence and Factors Associated with Caregivers’ Hesitancy in Immunizing Dependent Older Adults with COVID-19 Vaccines: A Cross-Sectional Survey" Vaccines 10, no. 10: 1748. https://doi.org/10.3390/vaccines10101748

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop