| Literature DB >> 35632426 |
Amin Nakhostin-Ansari1, Gregory D Zimet2, Mohammad Saeid Khonji3, Faezeh Aghajani4, Azin Teymourzadeh3, Amir Ali Rastegar Kazerooni5, Pendar Pirayandeh6, Reyhaneh Aghajani3, Sepideh Safari7, Kamand Khalaj3, Amir Hossein Memari1.
Abstract
We aimed to assess the Iranian people's attitude and confidence in the COVID-19 vaccine, their concerns about the safety of vaccines, and their reasons for accepting or rejecting the COVID-19 vaccine. We conducted a web-based cross-sectional study with a mixed qualitative-quantitative approach from December 2020 to February 2021. Our questionnaire consisted of a COVID-19 vaccine attitude questionnaire, a COVID-19 vaccine confidence inventory, a modified vaccine safety scale, and questions about participants' decision to accept or refuse the COVID-19 vaccine, and their explanations for their decisions. The research included 1928 people with an average age of 34.88 years with 1236 (64.1%) being female. A total of 1330 participants desired to have the COVID-19 vaccine (69%). Female gender, lower educational levels, following COVID-19 news through sources other than websites and social media, not following COVID-19 news, and loss of a first-degree relative due to COVID-19 were all associated with a more negative attitude toward the COVID-19 vaccine (p < 0.01). To conclude, the acceptance rate of the COVID-19 vaccine among Iranians is comparable to the international average; however, it is still unfavorable. There are serious challenges to the vaccination program in Iran, such as older adults' lower intention to undergo the COVID-19 vaccine and misinformation.Entities:
Keywords: COVID-19; attitude; safety; vaccine
Year: 2022 PMID: 35632426 PMCID: PMC9143028 DOI: 10.3390/vaccines10050670
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
Demographic characteristics of participants and their history of COVID-19 infection.
| Variable | Number (Percent) | |
|---|---|---|
| Age | 15–29 years | 780 (40.5%) |
| 30–39 years | 516 (26.8%) | |
| 40–49 years | 355 (18.4%) | |
| 50–59 years | 193 (10%) | |
| >60 years | 84 (4.4%) | |
| Gender | Female | 1236 (64.1%) |
| Male | 692 (35.9%) | |
| Marital Status | Single | 870 (45.1%) |
| Married | 995 (51.6%) | |
| Divorced or the partner has died | 63 (3.3%) | |
| Place of Living | Rural | 68 (3.5%) |
| Urban | 1860 (96.5%) | |
| Educational Level | Less than high school diploma | 66 (3.4%) |
| High school diploma (11 years of education) | 461 (23.9%) | |
| College degree | 108 (5.6% | |
| Bachelor’s degree | 740 (38.4%) | |
| Master’s degree | 360 (18.7%) | |
| Doctorate or higher degree | 193 (10%) | |
| Occupation | Unemployed | 105 (5.4%) |
| Housewife | 267 (13.8%) | |
| Student | 394 (20.4%) | |
| Healthcare worker | 157 (8.1%) | |
| Employee | 917 (47.6%) | |
| Retired | 88 (4.6%) | |
| Salary | Do not receive a salary | 578 (30%) |
| Less than 20 million Rials | 332 (17.2%) | |
| Between 20 to 40 million Rials | 413 (21.4%) | |
| Between 40 to 60 million Rials | 228 (14.9%) | |
| More than 60 million Rials | 317 (16.4%) | |
| Source of COVID-19 News | TV news | 411 (21.3%) |
| Websites | 332 (17.2%) | |
| Social media | 1032 (53.5%) | |
| Other | 153 (7.9%) | |
| Daily Time Spent Following COVID-19 News | Do not follow the news on most days | 476 (24.7%) |
| Less than one hour a day | 1080 (56%) | |
| Between one to two hours a day | 265 (13.7%) | |
| More than two hours a day | 107 (5.5%) | |
| History of COVID-19 Infection in the Participants or Their First-Degree Relatives | No | 765 (39.7%) |
| Yes | 1163 (60.3%) | |
| History of Hospitalization Due to COVID-19 in the Participants or Their First-Degree Relatives | No | 1527 (79.2%) |
| Yes | 401 (20.8%) | |
| Death of First-degree relatives due to COVID-19 | No | 1727 (89.6%) |
| Yes | 201 (10.4%) | |
Participants’ attitudes, concerns, and confidence regarding the COVID-19 vaccine based on their basic characteristics.
| Attitude | Lack of Confidence | Vaccine Safety Concern | |||||
|---|---|---|---|---|---|---|---|
| Mean (SD) | Mean (SD) | Mean (SD) | |||||
| Age group | 15–29 years | 10.2 (3.39) | 0.104 | 39.52(10.87) | 0.001 | 15.48 (4.97) | 0.368 |
| 30–39 years | 9.92 (3.6) | 40.49 (11.12) | 15.71 (4.74) | ||||
| 40–49 years | 9.58 (3.8) | 42 (11.05) | 16.02 (4.09) | ||||
| 50–59 years | 9.67 (3.51) | 42.12 (9.76) | 16.39 (3.56) | ||||
| >60 years | 9.84 (3.52) | 41.5 (10.05) | 16.14 (4.48) | ||||
| Gender | Female | 9.69 (3.6) | <0.001 | 40.97 (10.93) | 0.05 | 16.02 (4.54) | 0.05 |
| Male | 10.4 (3.4) | 39.89 (10.74) | 15.3 (4.7) | ||||
| Marital status | Single | 10.25 (3.39) | <0.001 | 39.21 (10.76) | <0.001 | 15.3 (4.89) | 0.001 |
| Married | 9.76 (3.63) | 41.53 (10.8) | 16.09 (4.35) | ||||
| Divorced or the partner has died | 8.53 (3.8) | 44.53 (11.17) | 16.9 (4.15) | ||||
| Area of residency | Rural | 9.61 (4.04) | 0.698 | 41.91 (11.06) | 0.301 | 16.1 (4.91) | 0.301 |
| Urban | 9.95 (3.53) | 40.53 (10.86) | 15.75 (4.6) | ||||
| Educational level | Less than high school diploma | 7.98 (3.71) | <0.001 | 45.46 (9.65) | <0.001 | 17.98 (3.93) | <0.001 |
| High school diploma (11 years of education) | 9.52 (3.75) | 41.67 (10.84) | 16.19 (4.56) | ||||
| College degree | 9.77 (2.97) | 42.25 (8.68) | 16.9 (4.14) | ||||
| Bachelor’s degree | 9.84 (3.53) | 41.02 (11.15) | 15.73 (4.58) | ||||
| Master’s degree | 10.51 (3.43) | 38.92 (10.71) | 15.34 (4.83) | ||||
| Doctorate or higher degree | 11.03 (3.04) | 36.79 (10.25) | 14.23 (4.36) | ||||
| Occupation | Unemployed | 9.42 (3.92) | <0.001 | 42.06 (12.69) | <0.001 | 16.2 (5.29) | <0.001 |
| Housewife | 9.4 (3.48) | 42.37 (10.26) | 16.91 (3.77) | ||||
| Student | 10.33 (3.31) | 38.43 (10.42) | 15.2 (4.95) | ||||
| Healthcare worker | 10.48 (3.62) | 38.85 (11.04) | 14.58 (4.54) | ||||
| Employee | 9.94 (3.6) | 40.95 (10.96) | 15.78 (4.62) | ||||
| Retired | 9.59 (3.25) | 42.29 (9.35) | 16.13 (3.76) | ||||
| Salary | Do not receive a salary | 9.75 (3.57) | 0.023 | 40.59 (11.23) | 0.004 | 16.02 (4.85) | 0.012 |
| Less than 20 million Rials | 9.86 (3.41) | 41.21 (10.74) | 16.08 (4.48) | ||||
| Between 20 to 40 million Rials | 10.42 (3.58) | 40.74 (10.75) | 15.56 (4.57) | ||||
| Between 40 to 60 million Rials | 9.72 (3.73) | 41.65 (10.75) | 15.76 (4.27) | ||||
| More than 60 million Rials | 10.46 (3.39) | 38.72 (10.65) | 15.22 (4.63) | ||||
| Source of COVID-19 news | TV news | 8.94 (3.46) | <0.001 | 44.19 (947) | <0.001 | 17.1 (3.79) | <0.001 |
| Websites | 10.26 (3.56) | 40.11 (10.82) | 15.38 (4.24) | ||||
| Social media | 10.41 (3.37) | 38.83 (10.81) | 15.26 (4.85) | ||||
| Other | 8.74 (4.07) | 43.7 (11.93) | 16.37 (4.97) | ||||
| Daily time spent following COVID-19 news | Do not follow the news on most days | 8.6 (3.82) | <0.001 | 44.71 (11.1) | <0.001 | 16.98 (4.66) | <0.001 |
| Less than one hour a day | 10.25 (3.34) | 39.54 (10.36) | 15.54 (4.46) | ||||
| Between one to two hours a day | 10.64 (3.43) | 39.01 (10.52) | 15.1 (4.42) | ||||
| More than two hours a day | 11.14 (2.96) | 36.64 (10.89) | 14.15 (5.26) | ||||
| History of COVID-19 infection in the participants or their first-degree relatives | No | 10.01 (3.6) | 0.268 | 40.51 (11.04) | 0.67 | 15.66 (4.72) | 0.67 |
| Yes | 9.9 (3.51) | 40.63 (10.76) | 15.82 (4.54) | ||||
| History of hospitalization due to COVID-19 in the participants or their first-degree relatives | No | 10.03 (3.54) | 0.02 | 40.37 (10.86) | 0.033 | 15.64 (4.62) | 0.033 |
| Yes | 9.61 (3.57) | 41.4 (10.87) | 16.22 (4.56) | ||||
| Death of first-degree relatives due to COVID-19 | No | 10.02 (3.5) | 0.007 | 40.38 (10.79) | 0.011 | 15.67 (4.6) | 0.011 |
| Yes | 9.24 (3.86) | 42.35 (11.38) | 16.52 (4.68) | ||||
Results of multiple linear regressions.
| Dependent Variable | Independent Variables | Beta | |
|---|---|---|---|
| Female gender | −0.531 | 0.001 | |
| COVID-19 Vaccine Attitude Questionnaire | Educational degree of less than a high school diploma | −1.33 | 0.002 |
| Educational degree higher than master’s | 0.814 | <0.001 | |
| Websites and social media as the main source of COVID-19 news | 1.213 | <0.001 | |
| Not following COVID-19 news during the day | −1.615 | <0.001 | |
| Loss of the first-degree relative due to COVID-19 | −0.849 | 0.001 | |
| COVID-19 vaccine lack of confidence inventory | Single marital status | −1.636 | 0.002 |
| Educational degree higher than master’s | −3.212 | <0.001 | |
| Student | −2.132 | 0.001 | |
| Websites and social media as the main source of COVID-19 news | −3.959 | <0.001 | |
| Not following COVID-19 news during the day | 5.222 | <0.001 | |
| Loss of the first-degree relative due to COVID-19 | 2.032 | 0.008 | |
| Modified vaccine safety concern scale | Female gender | 0.569 | 0.008 |
| Educational degree higher than master’s | −0.831 | <0.001 | |
| Healthcare worker | −0.987 | 0.01 | |
| Using websites and social media as the main source of COVID-19 news | −1.397 | <0.001 | |
| Not following COVID-19 news during the day | 1.42 | <0.001 |
Association between participants’ desire to receive the COVID-19 vaccine and basic characteristics, their attitude, confidence, and concerns about the COVID-19 vaccine.
| Variables | Expect to Receive COVID-19 Vaccine | |||
|---|---|---|---|---|
| No | Yes | |||
| Age (years) | 35.97 (12.5) | 34.4 (12.83) | 0.001 | |
| Gender | Female | 413 (33.4%) | 823 (66.6%) | 0.002 |
| Male | 185 (26.7%) | 507 (73.3%) | ||
| Marital status | Single | 240 (27.6%) | 630 (72.4%) | 0.011 |
| Married | 335 (337%) | 660 (66.3%) | ||
| Divorced or the partner has died | 23 (36.5%) | 40 (63.5%) | ||
| Area of residency | Rural | 21 (30.9%) | 47 (69.1%) | 1 |
| Urban | 577 (31%) | 1283 (69%) | ||
| Educational level | Less than high school diploma | 25 (37.9%) | 41 (62.1%) | 0.726 |
| High school diploma | 146 (31.7%) | 315 (68.3%) | ||
| College degree | 33 (30.6%) | 75 (69.4%) | ||
| Bachelor’s degree | 234 (31.6%) | 506 (68.4%) | ||
| Master’s degree | 105 (29.2%) | 255 (70.8%) | ||
| Doctorate or higher degree | 55 (28.5%) | 138 (71.5%) | ||
| Occupation | Unemployed | 37 (32.5%) | 68 (64.8%) | 0.032 |
| Housewife | 82 (30.7%) | 185 (69.3%) | ||
| Student | 95 (24.1%) | 299 (75.9%) | ||
| Healthcare worker | 49 (31.2%) | 108 (68.8%) | ||
| Employee | 305 (33.3%) | 612 (66.7%) | ||
| Retired | 30 (34.1%) | 58 (65.9%) | ||
| Salary | Do not receive a salary | 173 (29.9%) | 405 (70.1%) | 0.0.137 |
| Less than 20 million Rials | 103 (31%) | 229 (69%) | ||
| Between 20 to 40 million Rials | 139 (33.7%) | 274 (66.3%) | ||
| Between 40 to 60 million Rials | 100 (34.7%) | 188 (65.3%) | ||
| More than 60 million Rials | 83 (26.2%) | 234 (73.8%) | ||
| Source of COVID-19 news | TV news | 143 (34.8%) | 268 (65.25) | 0.004 |
| Websites | 107 (32.2%) | 225 (67.8%) | ||
| Social media | 287 (27.8%) | 745 (72.2%) | ||
| Other | 61 (39.9%) | 92 (60.1%) | ||
| Daily time spent following COVID-19 news | Do not follow the news on most days | 212 (44.5%) | 264 (55.5%) | <0.001 |
| Less than one hour a day | 308 (28.5% | 772 (71.5%) | ||
| Between one to two hours a day | 64 (24.2%) | 201 (75.8%) | ||
| More than two hours a day | 14 (13.1%) | 93 (86.9%) | ||
| History of COVID-19 infection in the participants or their first-degree relatives | No | 248 (32.4%) | 517 (67.6%) | 0.291 |
| Yes | 350 (30.1%) | 813 (69.9%) | ||
| History of hospitalization due to COVID-19 in the participants or their first-degree relatives | No | 469 (30.7%) | 1058 (69.3%) | 0.585 |
| Yes | 129 (32.2%) | 272 (67.8%) | ||
| Death of first-degree relatives due to COVID-19 | No | 528 (30.6%) | 1199 (69.4%) | 0.227 |
| Yes | 70 (34.8%) | 131 (65.2%) | ||
| COVID-19 vaccine attitude questionnaire | 6.92 (3.6) | 12.17 (2.55) | <0.001 | |
| COVID-19 vaccine lack of confidence inventory | 50.52 (8.54) | 36.11 (8.62) | <0.001 | |
| Modified vaccine safety scale | 18.51 (3.56) | 14.53 (4.5) | <0.001 | |
Values are reported as numbers (percentage), except for age, attitude, confidence, and safety concern scores, which are reported as mean (SD).
Thematic analysis of participants’ reasons to accept or reject the COVID-19 vaccine.
| Acceptance or Rejection | Theme | Subtheme | Code |
|---|---|---|---|
| Acceptant of the COVID-19 vaccine | Ending the COVID-19 pandemic | Controlling the pandemic | Controlling COVID-19 dissemination |
| Reaching herd immunity | |||
| Tough pandemic situation | Getting tired of quarantine | ||
| Getting tired of taking health measures | |||
| Getting tired of the current situation | |||
| Returning to the pre-pandemic situation | Improvement of the situation | ||
| To have social interactions | |||
| Return to normality | |||
| Return to job | |||
| Responsibility | Social responsibility | Social duty | |
| Prevention from SARS-CoV-2 mutation | |||
| Encouraging other people to receive the COVID-19 vaccine | |||
| Protecting other people | Helping those who have a contraindication to receiving the COVID-19 vaccine | ||
| Helping people who can not receive the COVID-19 vaccine | |||
| Immunity of other people | |||
| Prevention of the transmission of COVID-19 to others | |||
| Protection of family members | |||
| The underlying diseases of family members | |||
| Helping HCWs and scientists | Reduction in the psychological burden on HCWs | ||
| Help the HCWs | |||
| Increasing the knowledge about the COVID-19 vaccine | |||
| Becoming immune to COVID-19 | Prevention of being infected | Prevention from being a carrier of SARS-CoV-2 | |
| Immunity against the COVID-19 | |||
| Immunity of family | |||
| Prevention of severe forms of COVID-19 | Prevention from death due to COVID-19 | ||
| Prevention from the severe forms | |||
| Prevention of the complications | |||
| Susceptibleness to COVID-19 | Having underlying diseases | ||
| Occupational exposure | |||
| Being infected by COVID-19 in the past | |||
| Psychological well-being | Fear of contracting COVID-19 | Concerns about family | |
| Fear of COVID-19 | |||
| Concerns about contracting COVID-19 | |||
| Psychological issues of COVID-19 pandemic | Ease of concerns in social life | ||
| Alleviation of the psychological impacts of the COVID-19 pandemic | |||
| Hopefulness about vaccine effectiveness | Cost-effectiveness | Possibility of the COVID-19 vaccine efficiency | |
| Harms of current situation compared to COVID-19 vaccine | |||
| Higher odds of COVID-19 vaccine benefits | |||
| Taking action against the COVID-19 | Avoid being passive | ||
| Taking a risk | |||
| Lack of an alternative | |||
| Trust in the COVID-19 vaccine | Current scientific evidence | Trust in scientific resources | |
| Trust in the experts | |||
| Trust in the science | |||
| Prior experiences with vaccination | History of vaccination during the life | ||
| Prior successful vaccination programs | |||
| Vaccination against COVID-19 by others | |||
| Reject to receive the COVID-19 vaccine | Unknown policies behind COVID-19 pandemic | Spreading the COVID-19 purposefully | Using COVID-19 vaccine to control the world |
| Using COVID-19 vaccine to harm people | |||
| Using COVID-19 to control the population growth | |||
| Secret goals of producing COVID-19 vaccine | |||
| COVID-19 being human-made | |||
| Commercial purposes of spreading COVID-19 | COVID-19 conspiracy to sell the vaccine | ||
| Commercial purposes of producing COVID-19 vaccine | |||
| Lack of trust in the current policies | COVID-19 being a political game | ||
| Lack of trust in governments | |||
| Lack of trust in the officials | |||
| Lack of knowledge about COVID-19 vaccine | Untrustworthy news | Hiding the truth | |
| Rumors | |||
| Unreliable news | |||
| Lack of enough information on COVID-19 vaccine | Lack of enough data on COVID-19 vaccine | ||
| Wait to see the vaccination results | |||
| Lack of enough studies on COVID-19 vaccine | Undetermined vaccine complications | ||
| Undetermined vaccine efficacy | |||
| Lack of routine studies | |||
| Novel vaccine components | |||
| Lack of trust in COVID-19 vaccine | Other people’s practice toward COVID-19 vaccine | Other people not getting vaccinated | |
| Encouragers of COVID-19 vaccine are not vaccinated | |||
| Lack of trust in scientific resources | Lack of trust in scientists | ||
| Lack of trust in pharmaceutical companies | |||
| Unreliability of COVID-19 vaccine | Lack of trust in techniques to produce COVID-19 vaccine | ||
| Lack of trust in COVID-19 vaccine | |||
| Undetermined components of COVID-19 vaccine | |||
| Low quality of the COVID-19 vaccine | Ineffectiveness of COVID-19 vaccine | ||
| The inability of vaccines to induce long-term immunity | |||
| Issues with COVID-19 vaccine | COVID-19 vaccine hazards | ||
| Fear of COVID-19 vaccine | |||
| Previous experiences of vaccine complications | |||
| Nature of SARS-CoV-2 | SARS-CoV-2 mutations | ||
| Lack of awareness about SARS-CoV-2 | |||
| Lack of access to effective vaccine | Lack of access to high-quality vaccine | ||
| Uncertainty in the safe transition of COVID-19 vaccine | |||
| Personal issues | Underlying conditions | Underling disease | |
| History of allergy | |||
| Financial issues | Financial pressures | ||
| The high price of the vaccine | |||
| Problems in life | Tough situations in life | ||
| Feeling no need for COVID-19 vaccine | Resistance to COVID-19 | History of being infected with COVID-19 | |
| Having a strong immune system | |||
| Lack of underlying disease | |||
| Nature of COVID-19 | COVID-19 being a mild disease | ||
| Using preventive strategies | Herd immunity with vaccination of other people | ||
| Effectiveness of preventive strategies | |||
| Not going out | |||
| Possible treatments | Using effective medications | ||
| Not interfering with the natural course of COVID-19 | Being infected is better than vaccination | ||
| Necessity of following the natural process | |||
| Responsibility | - | Others being in priority |