Literature DB >> 35451644

COVID-19 vaccine acceptance and perceptions among dental teaching staff of a governmental university in Egypt.

Mariam Sharaf1, Omar Taqa2, Haneen Mousa2, Amira Badran2.   

Abstract

BACKGROUND: Vaccine acceptance among healthcare workers (HCWs) is an important determinant of its acceptance among the general population. Dentists are an essential group of HCWs who are at an increased risk of COVID-19 infection. This study aimed to assess vaccine acceptance and its determinants among a group of dental teaching staff in Egypt.
METHODS: An Internet-based cross-sectional study was conducted where the dental teaching staff of a governmental university in Egypt were targeted using total population sampling. Data was collected on socio-demographics, attitudes towards COVID-19, risk perception, general attitudes towards vaccination, vaccine acceptance, and concerns about COVID-19 vaccines, along with barriers and motivators to vaccination. Multivariate regression was done to determine factors significantly associated with unwillingness to receive COVID-19 vaccine.
RESULTS: A total of 171 dental faculty members participated in the study. At the time of data collection (August 2021-October 2021), 45.6% of the dental teaching staff were willing to receive the vaccine, while 46.7% were against vaccination, and 7.6% were vaccine hesitant. Female gender, not having a private practice, not intending to travel internationally, having anyone sick in the immediate social circle, and being more anxious about COVID-19 were significantly associated with unwillingness to receive the COVID-19 vaccine.
CONCLUSION: At the time of conducting this study (August 2021-October 2021), less than half of the participating dental teaching staff in the studied Egyptian university were willing to receive the COVID-19 vaccine. Findings of the current study can guide Egyptian health authorities to adopt strategies that correct misconceptions among HCWs, educate them and build their trust in the efficacy and safety of COVID-19 vaccines, which can ultimately increase its acceptance in the general population.
© 2022. The Author(s).

Entities:  

Keywords:  COVID-19; Dentists; Healthcare workers; Teaching staff; Vaccine acceptance

Year:  2022        PMID: 35451644      PMCID: PMC9024287          DOI: 10.1186/s42506-022-00104-6

Source DB:  PubMed          Journal:  J Egypt Public Health Assoc        ISSN: 0013-2446


Introduction

In March 2020, the World Health Organization (WHO) declared COVID-19 a global pandemic. Spreading mainly through human-to-human transmission, COVID-19 has infected around 269 million people worldwide at the time of this writing, and was responsible for the deaths of approximately 5.3 million people globally [1]. The rapid spread of the virus has elicited a global response from all countries to mitigate this crisis through strict quarantine and social distancing [2]. Despite such efforts, COVID-19 has continued to spread all over the globe, thus more effective methods, such as vaccines, had to be sought out in order to combat such a devastating virus. COVID-19 vaccine manufacturing varies greatly in terms of the underlying process for the vaccine production, ranging from recombinant, live attenuated, and inactivated vaccines [3]. Despite this, unwillingness to receive the vaccine remains a major threat that could undermine these efforts [4]. Healthcare workers (HCWs) are on the frontline against COVID-19, this puts them in a high-risk category for COVID-19 exposure and infection [5], and hence makes them a priority group for receiving the vaccine. Dental HCWs, in particular, are at a higher risk of exposure to COVID-19 due to the nature of their work, which requires them to be in direct contact with body fluids [6]. The success of any vaccination program relies greatly on HCWs [7]. This is attributed to the fact that their opinions influence acceptance, adherence, and hesitancy about vaccines among the general population [8]. Therefore, it is of extreme importance to estimate the levels of acceptance among HCWs [9]. Previous literature has indicated different levels of acceptance of COVID-19 vaccine among HCWs [10-14], which might be influenced by various factors, such as, country of residence, gender, age, income, perceived benefits and risks, and safety concerns [7, 15]. In Egypt, there have been around 365,831 confirmed cases and 20,877 deaths, by December 2021 [16]. Despite that, previous studies have shown low acceptance of COVID-19 vaccine among Egyptian HCWs [2, 11]. Undoubtedly, the attitudes of teaching staff members, in particular, have a major influence on the perceptions of their students, other dental HCWs, and hence, the public. This study aimed to explore the levels of COVID-19 vaccine acceptance and its determinants among a group of dental teaching staff (DTS), as well as their perceptions towards the vaccine.

Methods

Study design and population

A cross sectional study was conducted between August 2021 and October 2021 at the Faculty of Dentistry, Ain Shams University (FD-ASU), a governmental university located in Cairo, Egypt. To be eligible to participate in the study; participants of both genders, must be staff members or assisting staff at different specialties, who are currently residing in Egypt and working at FD-ASU and provided a consent to participate in the study. Participants who refused to consent for participation were excluded from the study.

Sample size

Total population sampling, a type of purposive sampling, was used to recruit the entire working staff at FD-ASU, where a total of 273 participants were targeted, among which 171 participants completed the questionnaire. This sampling method was chosen due to the foreknown number of working staff members, which is relatively small, in addition to the accessibility of the whole study population, which would reduce selection bias.

Study procedures

Recruitment

Participants were targeted via WhatsApp online platform by sending a brief message explaining the objectives of the study, along with a Google forms link for the Internet-based survey and the electronic consent. Online method of survey dissemination was chosen to adhere to the guidelines of physical distancing provided by Centers for Disease Control and Prevention (CDC) to mitigate the pandemic.

Study instrument

A structured Internet-based, self-administered questionnaire was developed in the English language after reviewing studies with similar objectives [5, 9, 17, 18] and was reviewed by three public health experts to ensure face and content validity. Afterwards, a pilot study was conducted to pre-test the length of the questionnaire and identify any language or structure issues. According to the feedback received, some questions were omitted, and others were clarified, and the final version of the questionnaire was then confirmed. The final version of the questionnaire consisted of a total of 47 close-ended questions. Data were collected from participants on their age, gender, title and area of specialty, involvement in direct patient care, future intentions for international travel, and medical condition. Moreover, participants were asked about their sources of COVID-19 information, and whether the participants themselves or someone in their close network has previously contracted COVID-19. Perceptions of participants towards the pandemic were explored by inquiring about measures taken by them against COVID-19 infection. Participants were also asked to rate their degree of anxiety about COVID-19, as well as their adherence to quarantine on a scale of “extremely,” “somewhat,” or “not at all.” Perceived risks of COVID-19 pandemic were also assessed using a 5-point Likert scale (from strongly agree to strongly disagree). General perceptions towards vaccinations were inquired about by investigating the history of previous vaccine refusal/delay, where participants were required to respond with “yes,” “no,” or “I don’t remember.” Participants’ beliefs about safety and effectiveness of vaccines were also explored using a 5-point Likert scale (from strongly agree to strongly disagree). Vaccine acceptance was assessed using one question “Are you willing to take COVID-19 vaccine?”. This question was used to indicate the overall willingness/acceptance of participants to receive the vaccine, which is the outcome of interest of this study. Responding with “yes” indicated vaccine acceptance, whereas “no” indicated vaccine refusal, and “not sure” indicated vaccine hesitancy. Finally, perceived barriers and motivators to COVID-19 vaccine acceptance were explored using 14 questions on a 5-point Likert scale (from strongly agree to strongly disagree). These included questions about concerns regarding COVID-19 vaccine’s safety, efficacy, long-term side effects, teratogenicity, allergic reactions, and the short period of clinical trials.

Incentives

Each participant received an appreciation message for participating in the study, as well as a copy of the most recently published guidelines by WHO and CDC regarding COVID-19 infection prevention and vaccination.

Statistical analysis

Data was analyzed using IBM SPSS® version 26. Categorical variables were presented in frequencies and percentages and were analyzed using Fisher’s exact test. Binary logistic regression was used to calculate the odds ratio (OR) and 95% confidence intervals (95% CI). Willingness to receive the vaccine was dichotomized such that participants who answered “not sure” or “no” were considered unwilling to receive the vaccine while those who answered “yes” were considered willing. Factors that were statistically significant in the bivariate analysis were included in the multivariate regression model. The level of statistical significance was set at p < 0.05.

Results

In total, there were 171 responses out of the 273 registered faculty members to whom the survey was originally sent (62.6% response rate). About two thirds of the sample were aged under 40 years. The majority of the respondents were females (84.8%), medically free (87.7%), and considered themselves to be frontline HCWs (76%) (involved in providing direct patient care) (Fig. 1). Social media was the most frequently used source of information (65.5%), followed by information shared by international organizations (60.8%) (Fig. 2). Almost all participants reported wearing facemasks as a precaution (99.4%), and (93.6%) reported washing hands (Fig. 3).
Fig. 1

Sociodemographic data of participating dental teaching staff of the Faculty of Dentistry, Ain Shams University (N = 171)

Fig. 2

Sources of information of participating dental teaching staff of the Faculty of Dentistry, Ain Shams University (N = 171)

Fig. 3

Types of precautions taken to combat COVID-19 by the participating dental teaching staff of the Faculty of Dentistry, Ain Shams University, Egypt (N = 171)

Sociodemographic data of participating dental teaching staff of the Faculty of Dentistry, Ain Shams University (N = 171) Sources of information of participating dental teaching staff of the Faculty of Dentistry, Ain Shams University (N = 171) Types of precautions taken to combat COVID-19 by the participating dental teaching staff of the Faculty of Dentistry, Ain Shams University, Egypt (N = 171) Only 19.3% of participants were sure they have not contracted COVID-19 so far, while only 21.6% were sure that no one in their immediate circle was sick at the time with COVID-19. Additionally, a small percentage of participants reported not being anxious about COVID-19 at all (6.4%), or not following the guidelines of quarantine at all (9.4%) (Table 1).
Table 1

Characteristics of the vaccine accepting, vaccine refusing, and vaccine hesitant dental teaching staff of the Faculty of Dentistry, Ain Shams University, Egypt (N = 171)

Are you willing to take COVID-19 vaccine?P valueTotal frequency (percent)
No (N = 80)Not sure (N = 13)Yes (N = 78)
1-Age
 22–2937(56.1%)3 (4.5%)26 (39.4%)0.2766 (37.6)
 30–3928 (42.4%)5 (7.6%)33 (50.0%)66 (37.6)
 40–4913 (43.3%)3 (10.0%)14 (46.7%)30 (17.5)
 50–591 (16.7%)2 (33.3%)3 (50.0%)6 (3.5)
 Above 601 (33.3%)0 (0.0%)2 (66.7%)3 (1.8)
2-Gender
 Female74 (51.0%)12 (8.3%)59 (40.7%)0.01*145 (84.8)
 Male6 (23.1%)1 (3.8%)19 (73.1%)26 (15.2)
3-Are you a frontline health worker?
 No16 (39.0%)6 (14.6%)19 (46.3%)0.1341 (24)
 Yes64 (49.2%)7 (5.4%)59 (45.4%)130 (76)
4-Current dentistry practice
 Faculty of Dentistry48 (52.7%)9 (9.9%)34 (37.4%)0.0691 (53.2)
 Faculty of Dentistry and Private clinic32 (40.0%)4 (5.0%)44 (55.0%)80 (46.8)
5- Intention to travel internationally
 No73 (51)12 (8.4)58 (40.6)0.01*143 (83.6)
 Yes7 (25)1 (3.6)20 (71.4)28 (16.4)
6- Existing chronic illness?
 No71 (47.3%)10 (6.7%)69 (46.0%)0.46150 (87.7)
 Yes9 (42.9%)3 (14.3%)9 (42.9%)21 (12.3)
7- Individual contracted COVID-19
 No41 (47.7)6 (7)39 (45.3)0.9786 (50.3)
 Yes39 (45.9)7 (8.2)39 (45.9)85(49.7)
8- Immediate social network contracted COVID-19
 No15 (31.9)2 (4.3)30 (63.8)0.01*47 (27.5)
 Yes65 (52.4)11 (8.9)48 (38.7)124 (72.5)
9-Rate your degree of adherence to quarantine
 Extremely13 (39.4%)4 (12.1%)16 (48.5%)0.3633 (19.3)
 Somewhat62 (50.8%)8 (6.6%)52 (42.6%)122 (71.3)
 Not at all5 (31.3%)1 (6.3%)10 (62.5%)16 (9.4)
10-Rate your degree of anxiety about COVID-19
 Extremely24 (55.8%)4 (9.3%)15 (34.9%)< 0.01*43 (25.1)
 Somewhat56 (47.9%)7 (6.0%)54 (46.2%)117 (68.4)
 Not at all0 (0.0%)2 (18.2%)9 (81.8%)11(6.4)

*Statistically significant differences. All data was analyzed using Fisher’s exact test

Characteristics of the vaccine accepting, vaccine refusing, and vaccine hesitant dental teaching staff of the Faculty of Dentistry, Ain Shams University, Egypt (N = 171) *Statistically significant differences. All data was analyzed using Fisher’s exact test Overall, 46.7% of the participants rejected the vaccine, 45.6% accepted, and 7.6% were vaccine hesitant. There was no difference between age groups, but females were less likely to accept vaccination than males (40.7%, 73.1% respectively, (p = 0.01)). There was no statistical difference between the three groups in regard of being a frontline worker, current practice model, having a chronic illness, or adherence to quarantine measures. The degree of perceived anxiety about COVID-19 was significantly different between the groups, as those who were not anxious about COVID-19 at all were more likely to accept the vaccine (81.8%), than those who were extremely anxious (34.9%) or somewhat anxious (46.2%) (Table 1). Those who never postponed other recommended vaccines were more likely to accept the COVID-19 vaccine (60.6%) than those who postponed vaccines (17.3%). Moreover, believing that one is more likely to contract COVID-19 due to the nature of dental work was statistically significant between the three groups as those who disagreed were less likely to accept the vaccine (p < 0.01). Trusting the safety of vaccines (p < 0.01), and their effectiveness to prevent diseases (p = 0.031) were significantly different, while believing that recovering from a disease provided better immunity than vaccines was not significantly different between the groups. As for the COVID-19 vaccine in particular, those who were concerned about its ability to transmit the virus, its safety, its long-term side-effects, its potential to cause allergy, or to worsen their health condition, were significantly more likely to refuse the vaccine, while fertility concerns and concerns about fake vaccines were not significantly different. Those who were concerned about the teratogenicity of the vaccine had a higher refusal percentage, however, the difference was not statistically significant. A high percentage of the refusal group believed that the trials’ period was short (52.9%), expressed their willingness to receive the vaccine after it is administered to a larger proportion of the public (57.1%), and expressed their trust in the companies that developed the vaccines (64%), and these differences were statically significant. On the other hand, the majority of those who were accepting the vaccine believed that it would prevent them from contracting COVID-19 (78.1%) or prevent them from transmitting it to others (72%), compared to those who disagreed with these beliefs (23.3%, 18.2% respectively) (Table 2).
Table 2

Beliefs of the vaccine accepting, vaccine refusing, and vaccine hesitant dental teaching staff of Faculty of Dentistry, Ain Shams University, Egypt (N = 171)

Are you willing to take COVID-19 vaccine?TotalP value
NoNot sureYes
Have you ever postponed a vaccine recommended by the ministry of health/physician because you have doubts about it?I don't remember5 (50.0%)2 (20.0%)3 (30.0%)10 (5.8)< 0.01*
No41 (37.6%)2 (1.8%)66 (60.6%)109 (63.7)
Yes34 (65.4%)9 (17.3%)9 (17.3%)52 (30.4)
I am more likely to contract COVID-19 than other people because of the nature of my job.Strongly agree/agree55 (44.7%)6 (4.9%)62 (50.4%)123 (71.9)< 0.01*
Neutral14 (40.0%)7 (20.0%)14 (40.0%)35 (20.5)
Strongly disagree/disagree11 (84.6%)0 (0.0%)2 (15.4%)13 (7.6)
Even if I fall ill with another disease, I will not go to hospital because of risk of getting COVID-19 in the hospital.Strongly agree/agree26 (44.1%)2 (3.4%)31 (52.5%)59 (34.5).484
Neutral31 (50.0%)6 (9.7%)25 (40.3%)62 (36.3)
Strongly disagree/disagree23 (46.0%)5 (10.0%)22 (44.0%)50 (29.2)
I believe I can protect myself against COVID-19 better than other people because I have a good medical background.Strongly agree/agree34 (47.2%)4 (5.6%)34 (47.2%)72 (42.1).410
Neutral30 (52.6%)6 (10.5%)21 (36.8%)57 (33.3)
Strongly disagree/disagree16 (38.1%)3 (7.1%)23 (54.8%)42 (24.6)
I believe that the number of COVID-19 patients will increase in my country over the next month.Strongly agree/agree59 (50.9%)6 (5.2%)51 (44.0%)116 (67.8).172
Neutral15 (42.9%)5 (14.3%)15 (42.9%)35 (20.5)
Strongly disagree/disagree6 (30.0%)2 (10.0%)12 (60.0%)20 (11.7)
I believe that community facilities such as educational institutions should be closed in the meantime.Strongly agree/agree55 (51.4%)7 (6.5%)45 (42.1%)107 (62.6).079
Neutral14 (45.2%)5 (16.1%)12 (38.7%)31 (18.1)
Strongly disagree/disagree11 (33.3%)1 (3.0%)21 (63.6%)33 (19.3)
I believe that all international travel should be banned in the meantime.Strongly agree/agree53 (54.1%)9 (9.2%)36 (36.7%)98 (57.3).076
Neutral15 (39.5%)3 (7.9%)20 (52.6%)38 (22.2)
Strongly disagree/disagree12 (34.3%)1 (2.9%)22 (62.9%)35 (20.5)
I expect this pandemic to get larger.Strongly agree/agree44 (55.0%)6 (7.5%)30 (37.5%)80 (46.7).261
Neutral25 (42.4%)5 (8.5%)29 (49.2%)59 (34.5)
Strongly disagree/disagree11 (34.4%)2 (6.3%)19 (59.4%)32 (18.7)
Vaccines are effective at preventing diseases.Strongly agree/agree48 (42.9%)5 (4.5%)59 (52.7%)112 (65.5).031*
Neutral22 (51.2%)7 (16.3%)14 (32.6%)43 (25.1)
Strongly disagree/disagree10 (62.5%)1 (6.3%)5 (31.3%)16 (9.4)
Diseases provide better immunity than vaccines do.Strongly agree/agree21 (53.8%)2 (5.1%)16 (41.0%)39 (22.8).293
Neutral44 (50.0%)8 (9.1%)36 (40.9%)88 (51.5)
Strongly disagree/disagree15 (34.1%)3 (6.8%)26 (59.1%)44 (25.7)
I believe vaccines are safe.Strongly agree/agree14 (28.0%)0 (0.0%)36 (72.0%)50 (29.2)< 0.01*
Neutral41 (48.2%)8 (9.4%)36 (42.4%)85 (49.7)
Strongly disagree/disagree25 (69.4%)5 (13.9%)6 (16.7%)36 (21.1)
I’m concerned COVID-19 vaccine might transmit the virus to me.Strongly agree/agree27 (79.4%)2 (5.9%)5 (14.7%)34 (19.9)< 0.01*
Neutral21 (51.2%)8 (19.5%)12 (29.3%)41 (24)
Strongly disagree/disagree32 (33.3%)3 (3.1%)61 (63.5%)96 (65.1)
I’m concerned about the efficacy of COVID-19 vaccination.Strongly agree/agree61 (57.5%)6 (5.7%)39 (36.8%)106 (62)< 0.01*
Neutral15 (31.9%)7 (14.9%)25 (53.2%)47 (27.5)
Strongly disagree/disagree4 (22.2%)0 (0.0%)14 (77.8%)18 (10.5)
I’m concerned about the safety of COVID-19 vaccination.Strongly agree/agree69 (60.5%)7 (6.1%)38 (33.3%)114 (66.7)< 0.01*
Neutral7 (18.4%)6 (15.8%)25 (65.8%)38 (22.2)
Strongly disagree/disagree4 (21.1%)0 (0.0%)15 (78.9%)19 (11.1)
I’m concerned about the long-term side effects of COVID-19 vaccination.Strongly agree/agree68 (57.1%)9 (7.6%)42 (35.3%)119 (69.6)< 0.01*
Neutral10 (26.3%)4 (10.5%)24 (63.2%)38 (22.2)
Strongly disagree/disagree2 (14.3%)0 (0.0%)12 (85.7%)14 (8.1)
I’m concerned about faulty/fake COVID-19 vaccine.Strongly agree/agree48 (53.3%)7 (7.8%)35 (38.9%)90 (52.6).302
Neutral19 (43.2%)4 (9.1%)21 (47.7%)44 (25.7)
Strongly disagree/disagree13 (35.1%)2 (5.4%)22 (59.5%)37 (21.6)
I’m concerned it might affect my fertility.Strongly agree/agree24 (64.9%)1 (2.7%)12 (32.4%)37 (21.6).145
Neutral29 (42.6%)7 (10.3%)32 (47.1%)68 (39.8)
Strongly disagree/disagree27 (40.9%)5 (7.6%)34 (51.5%)66 (38.6)
I’m concerned it might be teratogenic.Strongly agree/agree37 (60.7%)5 (8.2%)19 (31.1%)61 (35.7).052
Neutral26 (39.4%)6 (9.1%)34 (51.5%)66 (38.6)
Strongly disagree/disagree17 (38.6%)2 (4.5%)25 (56.8%)44 (25.7)
I’m concerned I might have allergy to COVID-19 vaccine.Strongly agree/agree27 (58.7%)6 (13.0%)13 (28.3%)46 (26.9).039*
Neutral28 (43.8%)5 (7.8%)31 (48.4%)64 (37.4)
Strongly disagree/disagree25 (41.0%)2 (3.3%)34 (55.7%)61 (35.7)
I’m concerned it might make my current health condition worse.Strongly agree/agree48 (64.0%)7 (9.3%)20 (26.7%)75 (43.9)< 0.01*
Neutral20 (40.8%)5 (10.2%)24 (49.0%)49 (28.7)
Strongly disagree/disagree12 (25.5%)1 (2.1%)34 (72.3%)47 (27.5)
I believe the duration of clinical trials was short.Strongly agree/agree74 (52.9%)9 (6.4%)57 (40.7%)140 (81.9)< 0.01*
Neutral6 (30.0%)4 (20.0%)10 (50.0%)20 (11.7)
Strongly disagree/disagree0 (0.0%)0 (0.0%)11 (100.0%)11 (6.4)
I will only take the COVID-19 vaccine if the vaccine is taken by many in the public.Strongly agree/agree36 (57.1%)6 (9.5%)21 (33.3%)63 (36.8).018*
Neutral25 (45.5%)6 (10.9%)24 (43.6%)55 (32.1)
Strongly disagree/disagree19 (35.8%)1 (1.9%)33 (62.3%)53 (31)
I don’t trust the pharmaceutical companies that developed the COVID-19 vaccine.Strongly agree/agree32 (64.0%)1 (2.0%)17 (34.0%)50 (29.2)< 0.01*
Neutral38 (50.0%)10 (13.2%)28 (36.8%)76 (44.4)
Strongly disagree/disagree10 (22.2%)2 (4.4%)33 (73.3%)45 (26.3)
I believe vaccination decreases my chances of getting COVID-19 or its complications.Strongly agree/agree14 (19.2%)2 (2.7%)57 (78.1%)73 (42.7)< 0.01*
Neutral45 (66.2%)9 (13.2%)14 (20.6%)68 (39.8)
Strongly disagree/disagree21 (70.0%)2 (6.7%)7 (23.3%)30 (17.5)
I would get the vaccine to prevent transmitting COVID-19 to relatives/friends.Strongly agree/agree19 (23.2%)4 (4.9%)59 (72.0%)82 (48)< 0.01*
Neutral37 (66.1%)6 (10.7%)13 (23.2%)56 (32.7)
Strongly disagree/disagree24 (72.7%)3 (9.1%)6 (18.2%)33 (19.3)

*Statistically significant differences. All data were analyzed using Fisher’s exact test

Beliefs of the vaccine accepting, vaccine refusing, and vaccine hesitant dental teaching staff of Faculty of Dentistry, Ain Shams University, Egypt (N = 171) *Statistically significant differences. All data were analyzed using Fisher’s exact test Female gender, not having a private practice, not intending to travel internationally, having anyone sick in the immediate social circle, and being more anxious about COVID-19 were significantly associated with unwillingness to receive the COVID-19 vaccine (indicated by “Not sure” or “No”), and thus these factors were included as predictors in the final model. In the multivariate analysis, having a private job, and anxiety about COVID-19 were no longer significant predictors of willingness to receive the vaccine. However, unwillingness to receive the COVID-19 vaccine was still significantly higher among females (aOR = 0.34), and those who had someone in their immediate social network currently sick with COVID-19 (aOR = 0.37). While those who intended to travel within 2021 were 2.7 times more likely to accept the vaccine (Table 3).
Table 3

Predictors of willingness of dental teaching staff of the Faculty of Dentistry, Ain Shams University to receive COVID-19 vaccine (N = 171)

Crude OR (95% CI)P valueaOR (95% CI)P value
Gender (female vs malea)0.25 (0.1–0.64).004*0.34 (0.12–0.98)0.046*
Current practice (ASUa vs ASU and private)2.05 (1.11–3.78).022*1.4 (0.69–2.86)0.354
Intent to travel (noa vs yes)

3.66

(1.51–8.88)

.004*2.76 (1.05–7.26)0.04*
Someone in the immediate social network contracted COVID-19 (noa vs yes)0.36 (0.18–0.72).004*0.37 (0.18–0.77)0.008*
Degree of anxiety about COVID-19.037*0.39
Degree of anxiety (somewhat vs not at alla)0.19 (0.04–0.92).039*0.37 (0.07–2.01)0.25
Degree of anxiety (extremely vs not at alla)0.12 ( 0.002–0.62).012*0.29 (0.05–1.7)0.17

For the multivariate regression model χ2 = 29, P value < 0.01, Nagelkerke R2 value = 20.9%.

*Statistically significant differences

aReference category

Predictors of willingness of dental teaching staff of the Faculty of Dentistry, Ain Shams University to receive COVID-19 vaccine (N = 171) 3.66 (1.51–8.88) For the multivariate regression model χ2 = 29, P value < 0.01, Nagelkerke R2 value = 20.9%. *Statistically significant differences aReference category

Discussion

In our study, 45.6% dental HCWs in the selected university were willing to receive the vaccine, while 46.7% were against vaccination, and 7.6% were vaccine hesitant. Our results showed higher acceptance rates compared to previous studies conducted on Egyptian HCWs. For example, a previous multi-national study [19] reported that only 24% of Egyptian HCWs were willing to receive COVID-19 vaccine. Another study by El-Sokkary et al. [11] reported an acceptance rate of 26% among Egyptian HCWs including dentists. However, a very small number of dentists participated in that study (22 dentists), and acceptance rate among them was only 6.2%, being very low compared to our study. Fares et al. [2] reported 21% acceptance rate among Egyptian physicians, nurses, pharmacists, physiotherapists, and dentists. However, only 13 dentists participated in that study, among which only two dentists accepted receiving COVID-19 vaccine, and eight of them were still hesitant. The differences in the acceptance rate between our findings and those of other studies might have occurred due to the difference in the time during which the study was conducted; our study was conducted after wider availability of vaccine and the presence of a higher number of vaccinated people, also more studies ensuring vaccine safety and efficacy were already conducted. Acceptance rate could have also varied due to differences in morbidity and mortality rates of COVID-19 across different times. The relatively higher acceptance rate seen in our study could also reflect the increasing awareness that dentists are at a higher risk of exposure to COVID-19 due to performing procedures in proximity to the oropharyngeal region [20]. Studies across different countries have also shown different vaccine acceptance rates among HCWs. For example, in France, vaccine acceptance rate reached 75% [21] among medical (physicians, pharmacists, nurses) and non-medical personnel. Acceptance rate also reached 70% among physicians, nurses, midwives, and medical technicians in Saudi Arabia [13]. While in Turkey, acceptance rate reached 68.6% [12] among physicians, nurses, midwives, and medical/nursing students. On the other hand, lower vaccine acceptance rates were noticed among HCWs in the USA, where acceptance rates were only 36% [14]. In Congo, as well, acceptance rate was only 27.7% among physicians, nurses and non-medical personnel [8]. In our study, social media was reported as the primary source of information about COVID-19 by most of our study sample. This finding agrees with a previous finding by Abu-Farha et al. [22] in Middle Eastern populations, and can be justified by the popularity and accessibility of social media networks, which was particularly more obvious during quarantine and lockdown. Although we cannot underestimate the power of social media, a major drawback of such means is the possibility of dissemination of rumors and false information which might negatively affect the public, causing vaccine hesitancy, delay, or rejection. Several factors were identified to be significantly associated with vaccine acceptance. In our study, females were significantly less likely to accept the vaccine, with rejection rates of 51% compared to only 6% among males, and this difference remained statistically significant after adjusting for possible confounding factors. However, our study sample comprised a significantly higher number of females versus males (84.8% females versus 15.2% males) as the majority of the teaching staff in the Faculty of Dentistry, Ain Shams University, are females, this could have exaggerated the study results. Despite that, this finding was consistent with other studies that reported higher vaccine rejection rates and hesitancy among females [2, 11, 14, 15, 22] Moreover, the perception of having a higher risk for contracting COVID-19 was significantly associated with more vaccine acceptance, which was in line with results obtained by Viswanath et al. [10]. In addition, responsibility and fear of transmitting the disease to relatives or friends was also a significant driver factor in receiving the vaccine. Surprisingly, perceived anxiety about COVID-19 was associated with less vaccine acceptance. However, we hypothesize that those individuals might be anxious about both, the disease and the vaccine, reflecting general anxiety. Willingness to receive the vaccine was significantly higher among individuals who had intentions to travel internationally even after adjusting for other variables. This can be related to travel bans and restrictions in some countries that allow only fully vaccinated individuals to travel [23]. Lower willingness to receive the COVID-19 vaccine was unexpectedly noticed among individuals who had someone infected with COVID-19 in their close network. In our opinion, observing someone sick in one’s close network might have affected their perception of COVID-19’s threat, especially if the symptoms were not severe. Nevertheless, further studies are required to explore factors associated with changes in perceptions in those individuals. Concerns about safety, efficacy, effectiveness, and long-term side effects of the vaccine were among the most statistically significant factors that hinder vaccine uptake by the study participants. Fear of allergies, worsening of the current health status, complications and disease transmission via the vaccine also led to a lack of confidence in the vaccine which adversely affected vaccine acceptance among DTS. Those findings were also reported by previous studies [10, 24] and could be hindering factors to potential herd immunity due to the existence of unvaccinated groups [10]. In addition, lack of confidence in pharmaceutical companies, the speed by which the vaccine was developed and the short duration for clinical trials were also statistically significant factors associated with vaccine hesitancy and rejection, this finding was also reported by Magadmi et al. [24]. Evidence of a lack of confidence in the vaccine also showed in our study when the majority of respondents reported that they might receive the vaccine only if it was taken by a large percentage of the public, which was also a statistically significant factor associated with vaccine acceptance. Also, individuals who had a previous experience with postponing a recommended vaccine were significantly more likely to reject COVID-19 vaccine than their counterparts.

Limitations

Our study is not without limitations; first, our survey was conducted in a rapidly changing, dynamic environment, as individuals’ perceptions change on a daily basis according to the pandemic status, new information about the effectiveness and safety of the vaccines, and morbidity and mortality rates across the country. Second, the survey was conducted online to follow the restrictions on social distancing, therefore selection bias and accessibility issues should be considered. Third, the voluntary basis of participation in our study could have allowed self-selection bias by staff members who are particularly concerned about the pandemic. Finally, it is worth mentioning that this study is more skewed towards the female gender since the majority of the teaching staff in the faculty is females, which might limit the generalizability of this study, also, this study was conducted in one center, so the results could not be generalized on all dental HCWs in Egypt. Despite those limitations, this study was helpful in identifying vaccine hesitancy and perceptions towards COVID-19 vaccines among an essential group of HCWs. Future studies are required on a country-level to allow better exploration of potential factors of vaccine hesitancy among dental HCWs.

Conclusion

This study reflects that a large number of Egyptian DTS are still not willing to receive the COVID-19 vaccine, which might hinder reaching herd immunity. Findings of our study can guide health authorities in Egypt to adopt strategies and interventions that correct misconceptions of individuals about COVID-19 vaccines and build their trust in the efficacy and safety of COVID-19 vaccines. Future research should also monitor the perceptions and attitudes of dental HCWs towards COVID-19 vaccines, as they are a reliable and a primary source of information to the public, and their perceptions can greatly influence the perceptions of the public in accepting or refusing the vaccine.
  20 in total

1.  The COVID-19 vaccine development landscape.

Authors:  Tung Thanh Le; Zacharias Andreadakis; Arun Kumar; Raúl Gómez Román; Stig Tollefsen; Melanie Saville; Stephen Mayhew
Journal:  Nat Rev Drug Discov       Date:  2020-05       Impact factor: 84.694

2.  Acceptability of Vaccination Against COVID-19 Among Healthcare Workers in the Democratic Republic of the Congo.

Authors:  Michel Kabamba Nzaji; Leon Kabamba Ngombe; Guillaume Ngoie Mwamba; Deca Blood Banza Ndala; Judith Mbidi Miema; Christophe Luhata Lungoyo; Bertin Lora Mwimba; Aimé Cikomola Mwana Bene; Elisabeth Mukamba Musenga
Journal:  Pragmat Obs Res       Date:  2020-10-29

3.  Determinants of COVID-19 vaccine acceptance in the US.

Authors:  Amyn A Malik; SarahAnn M McFadden; Jad Elharake; Saad B Omer
Journal:  EClinicalMedicine       Date:  2020-08-12

4.  COVID-19 Vaccine Acceptance among Health Care Workers in the United States.

Authors:  Rahul Shekhar; Abu Baker Sheikh; Shubhra Upadhyay; Mriganka Singh; Saket Kottewar; Hamza Mir; Eileen Barrett; Suman Pal
Journal:  Vaccines (Basel)       Date:  2021-02-03

5.  Understanding COVID-19 vaccine demand and hesitancy: A nationwide online survey in China.

Authors:  Yulan Lin; Zhijian Hu; Qinjian Zhao; Haridah Alias; Mahmoud Danaee; Li Ping Wong
Journal:  PLoS Negl Trop Dis       Date:  2020-12-17

6.  Individual and social determinants of COVID-19 vaccine uptake.

Authors:  K Viswanath; Mesfin Bekalu; Dhriti Dhawan; Ramya Pinnamaneni; Jenna Lang; Rachel McLoud
Journal:  BMC Public Health       Date:  2021-04-28       Impact factor: 3.295

7.  COVID-19 Vaccination Acceptance and Its Associated Factors Among a Middle Eastern Population.

Authors:  Walid A Al-Qerem; Anan S Jarab
Journal:  Front Public Health       Date:  2021-02-10

8.  Willingness of Middle Eastern public to receive COVID-19 vaccines.

Authors:  Rana Abu-Farha; Tareq Mukattash; Rania Itani; Samar Karout; Hani M J Khojah; Asia Abed Al-Mahmood; Karem H Alzoubi
Journal:  Saudi Pharm J       Date:  2021-05-31       Impact factor: 4.330

9.  Determinants of COVID-19 vaccine acceptance in the Arab world: a cross-sectional study.

Authors:  M Ihsan Kaadan; Joud Abdulkarim; Maher Chaar; Obada Zayegh; Mouhammed Ali Keblawi
Journal:  Glob Health Res Policy       Date:  2021-07-12
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  1 in total

1.  Acceptance of coronavirus disease 2019 (COVID-19) vaccines among healthcare workers: A meta-analysis.

Authors:  Linlin Wang; Ye Wang; Xianbin Cheng; Xingzhao Li; Yanyan Yang; Jun Li
Journal:  Front Public Health       Date:  2022-09-16
  1 in total

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