| Literature DB >> 35399252 |
Ranya A Ghamri1, Sahar S Othman1, Mudhawi H Alhiniah2, Rakan H Alelyani2, Atheer M Badawi2, Asma A Alshahrani2.
Abstract
Background: Coronavirus disease 19 (COVID-19) vaccination has been established as preventing severe and mortal COVID-19. Vaccination is critical strategy in controlling the COVID-19 pandemic, to restrict infections and reduce disease severity. Vaccination coverage will be more extensive if we can better identify vaccination barriers in the population, especially among vulnerable groups, of which one is pregnant women. The aim of this study was to determine the level of acceptance of COVID-19 vaccination and detect the factors that influence vaccine acceptance among pregnant women in Saudi Arabia.Entities:
Keywords: COVID-19; Saudi Arabia; acceptance; pregnancy; pregnant women; vaccine
Year: 2022 PMID: 35399252 PMCID: PMC8986189 DOI: 10.2147/PPA.S357653
Source DB: PubMed Journal: Patient Prefer Adherence ISSN: 1177-889X Impact factor: 2.711
Figure 1The prevalence of acceptance of COVID-19 vaccine among the participant group.
Relationship Between Acceptance of COVID-19 Vaccination and Sociodemographic Characteristics
| Variable | Acceptance of COVID-19 Vaccine | |
|---|---|---|
| Did Not Receive or Not Willing to Receive COVID-19 Vaccine | Received or Willing to Receive COVID-19 Vaccine | |
| n=1685 | n=3548 | |
| Age (mean±S.D) | (30.08±5.99) | (31.57±7.79) |
| Gravidity n (%) | ||
| <5 | 1438 (34.7%) | 2702 (65.3%) |
| ≥ 5 | 243 (23.3%) | 799 (76.7%) |
| Parity n (%) | ||
| <5 | 1567 (33.8%) | 3073 (66.2%) |
| ≥ 5 | 116 (20%) | 464 (80%) |
| Regions n (%) | ||
| Western Region | 525 (34.4%) | 1003 (65.6%) |
| Eastern Region | 516 (35.2%) | 949 (64.8%) |
| North Region | 147 (26.0%) | 419 (74.0%) |
| South Region | 112 (18.2%) | 502 (81.8%) |
| Central Region | 392 (35.1%) | 725 (64.9%) |
| Other | 5 (29.4%) | 12 (70.6%) |
| Gestational week (mean±S.D) | (25.98±9.82) | (24.21±12.48) |
| Number of household members (mean±S.D) | (3.97±2.44) | (4.57±2.40) |
| Number of school-age children n (%) | ||
| <5 | 1641 (32.9%) | 3350 (67.1%) |
| ≥ 5 | 44 (18.2%) | 198 (81.8%) |
| Number of household members > 65 y (mean±S.D) | (0.14±0.44) | (0.18±0.57) |
| Nationality n (%) | ||
| Saudi | 1626 (31.8%) | 3494 (68.2%) |
| Non-Saudi | 71 (38%) | 116 (62%) |
| Education status n (%) | ||
| None | 12(41.1%) | 17 (58.6%) |
| Primary school | 30 (21.4%) | 110 (78.6%) |
| Secondary school | 284 (31.3%) | 623 (68.7%) |
| University | 1371(32.4%) | 2860 (67.6%) |
| Wife job n (%) | ||
| Housewife | 1106 (35.9%) | 1976 (64.1%) |
| Private sector | 230 (29.6%) | 546 (70.4%) |
| Government sector | 361 (24.9%) | 1088 (75.1%) |
| Husband job n (%) | ||
| Not working | 91 (31.2%) | 201(68.8%) |
| Private sector | 614 (36.4%) | 1073 (63.6%) |
| Government sector | 926 (29.9%) | 2173 (70.1%) |
| Merchant | 66 (28.8%) | 163 (71.2%) |
| Do you have any medical conditions? n (%) | ||
| None | 1544 (32.9%) | 3150 (67.1%) |
| Diabetes | 36 (19.7%) | 147 (80.3%) |
| Hypertension | 23 (16.8%) | 114 (83.2%) |
| Heart disease | 5 (13.9%) | 31 (86.1%) |
| Other | 89 (34.6%) | 168 (65.4%) |
| Do you have a high-risk pregnancy? n (%) | ||
| No | 1451 (31.8%) | 3117 (68.2%) |
| Preterm labor | 61 (33%) | 124 (67%) |
| Gestational hypertension | 33 (35.5%) | 60 (64.5%) |
| Fetal structural abnormality | 12 (41.4%) | 17 (58.6%) |
| Multifetal pregnancy | 34 (41.5%) | 48 (58.5%) |
| Gestational diabetes mellitus | 78 (29.7%) | 185 (70.3%) |
| Epilepsy | 0 (0.0%) | 11 (100%) |
| Placenta previa | 28 (36.8%) | 48 (63.2%) |
The Association Between Acceptance and Attitude Toward the COVID-19 Vaccine and Sociodemographic Data, General Health Status, and History of Vaccination, Univariate Logistic Regression Analysis
| Variables* | P-value | Odds Ratio (OR) | 95% C.I. for OR | ||
|---|---|---|---|---|---|
| Lower | Upper | ||||
| Age (year) | 0.000 | 1.027 | 1.018 | 1.036 | |
| Nationality | Saudi | Ref | |||
| Non Saudi | 0.68 | 0.755 | 0.558 | 1.021 | |
| Regions | Western Region | Ref | |||
| Eastern Region | 0.592 | 0.959 | 0.825 | 1.116 | |
| North Region | 0.000 | 1.510 | 1.217 | 1.874 | |
| South Region | 0.000 | 2.288 | 1.816 | 2.883 | |
| Central Region | 0.602 | 0.958 | 0.814 | 1.127 | |
| Other | 0.926 | 1.052 | 0.358 | 3.095 | |
| Gravidity (the number of times that a woman has been pregnant) ≥5 | 0.001 | 1.750 | 1.495 | 2.048 | |
| Parity (as the number of times that woman has given birth) ≥5 | 0.000 | 2.040 | 1.649 | 2.522 | |
| Gestational week: | 0.000 | 0.986 | 0.981 | 0.991 | |
| Number of householders: | 0.000 | 1.117 | 1.088 | 1.147 | |
| Number of school age children ≥5 | 0.000 | 1.175 | 1.128 | 1.223 | |
| Number of household members > 65 y | 0.002 | 1.221 | 1.076 | 1.385 | |
| Income (month): | Less than 3000 SR | Ref | |||
| 3000–8000 SR | 0.594 | 0.948 | 0.781 | 1.152 | |
| More than 8000 SR | 0.030 | 1.230 | 1.020 | 1.483 | |
| Education status: | None | Ref | |||
| Primary school | 0.017 | 2.853 | 1.207 | 6.745 | |
| Secondary school | 0.159 | 1.741 | 0.804 | 3.769 | |
| University | 0.196 | 1.653 | 0.772 | 3.542 | |
| Wife job | Housewife | Ref | |||
| Private sector | 0.001 | 1.328 | 1.118 | 1.577 | |
| Government official | 0.000 | 1.685 | 1.464 | 1.939 | |
| Husband job | Not Working | Ref | |||
| Private sector | 0.115 | 0.805 | 0.615 | 1.054 | |
| Government sector | 0.575 | 1.078 | 0.830 | 1.400 | |
| Merchant | 0.545 | 1.125 | 0.769 | 1.645 | |
| Do you have any medical condition? | None | Ref | |||
| Diabetes | 0.000 | 1.947 | 1.344 | 2.822 | |
| Hypertension | 0.000 | 2.340 | 1.486 | 3.684 | |
| Heart disease | 0.025 | 2.962 | 1.147 | 7.650 | |
| Other | 0.483 | 0.909 | 0.696 | 1.187 | |
| Do you have high risk pregnancy? | No | Ref | |||
| Preterm labor | 0.737 | 0.947 | 0.691 | 1.299 | |
| Gestational hypertension | 0.427 | 0.840 | 0.546 | 1.292 | |
| Fetal structural anomalies | 0.171 | 0.587 | 0.274 | 1.258 | |
| Multifetal pregnancy | 0.070 | 0.663 | 0.425 | 1.034 | |
| Gestational diabetes mellitus. | 0.402 | 1.125 | 0.854 | 1.481 | |
| Epilepsy | 0.999 | - | - | - | |
| Placenta previa | 0.155 | 0.705 | 0.435 | 1.141 | |
| Do you have high risk of COVID-19 transmission at work? Yes | 0.959 | 0.995 | 0.816 | 1.213 | |
| Did you have close contact with COVID-19 positive person? Yes | 0.436 | 0.928 | 0.768 | 1.121 | |
| Did you care about hand hygiene during pandemic period? Yes | 0.184 | 1.359 | 0.864 | 2.137 | |
| Did you care about social distancing during pandemic period? Yes | 0.541 | 1.107 | 0.799 | 1.534 | |
| Did you care about using mask during pandemic period? Yes | 0.009 | 1.508 | 1.106 | 2.057 | |
| Did you have COVID-19 in this pregnancy? Yes | 0.000 | 1.721 | 1.332 | 2.223 | |
| Have you ever been vaccinated in last 5 years? Yes | 0.569 | 1.058 | 0.872 | 1.283 | |
| Was the Influenza vaccine recommended in the present pregnancy? Yes | 0.000 | 1.560 | 1.233 | 1.972 | |
| If the Influenza vaccine recommended would you have vaccinated in the present pregnancy? Yes | 0.000 | 6.499 | 5.343 | 7.904 | |
| Have you been vaccinated for Influenza in the present pregnancy? Yes | 0.000 | 2.639 | 1.847 | 3.771 | |
| Was the tetanus vaccine recommended in the present pregnancy ? yes | 0.001 | 1.515 | 1.174 | 1.955 | |
| Have you been vaccinated for tetanus in the present pregnancy ? yes | 0.000 | 2.094 | 1.524 | 2.877 | |
| Are you going to have vaccinated your baby after birth? Yes | 0.022 | 1.910 | 1.099 | 3.318 | |
| Did you heard about COVID-19 vaccine before? Yes | 0.637 | 1.068 | 0.811 | 1.407 | |
| Do you think that you have enough information about COVID-19 vaccine? Yes | 0.053 | 1.194 | 0.998 | 1.429 | |
| Do you think COVİD-19 vaccine carry out possibility of harm for your baby? Yes | 0.000 | 0.104 | 0.085 | 0.128 | |
Notes: *Variables adapted with permission from John Wiley and Sons: Ayhan SG, Oluklu D, Atalay A, et al. COVID‐19 vaccine acceptance in pregnant women. Int J Gynecol Obstet. 2021;154:291–296. DOI:10.1002/ijgo.13713.21 © 2021 International Federation of Gynecology and Obstetrics.
Predictors of the Acceptance and Attitude Toward COVID-19 Vaccination Among Pregnant Women, Multivariate Logistic Regression Model
| Variables* in the Equation | p-value | Odds Ratio (OR) | 95% C.I. for OR | ||
|---|---|---|---|---|---|
| Lower | Upper | ||||
| Age (year) | 0.653 | 1.005 | 0.983 | 1.028 | |
| Nationality | Saudi | Ref | |||
| Non Saudi | 0.734 | 1.096 | 0.646 | 1.859 | |
| Regions | Western Region | Ref | |||
| Eastern Region | 0.536 | 1.099 | 0.815 | 1.483 | |
| North Region | 0.001 | 1.914 | 1.293 | 2.834 | |
| South Region | 0.000 | 3.065 | 2.059 | 4.562 | |
| Central Region | 0.024 | 1.424 | 1.047 | 1.938 | |
| Other | 0.146 | 2.987 | 0.684 | 13.037 | |
| Gravidity (the number of times that a woman has been pregnant) ≥5 | 0.185 | 1.324 | 0.874 | 2.004 | |
| Parity (as the number of times that woman has given birth)≥5 | 0.907 | 0.967 | 0.554 | 1.689 | |
| Gestational week: | 0.018 | 0.987 | 0.977 | 0.998 | |
| Number of householders: | 0.750 | 1.009 | 0.955 | 1.066 | |
| Number of school age children≥5 | 0.901 | 0.957 | 0.483 | 1.897 | |
| Number of household members > 65 y | 0.262 | 1.149 | 0.901 | 1.466 | |
| Income (month): | Less than 3000 SR | Ref | |||
| 3000–8000 SR | 0.058 | 0.722 | 0.516 | 1.011 | |
| More than 8000 SR | 0.000 | 0.516 | 0.363 | 0.734 | |
| Education status: | None | Ref | |||
| Primary school | 0.002 | 12.469 | 2.566 | 60.601 | |
| Secondary school | 0.008 | 7.659 | 1.706 | 34.385 | |
| University | 0.010 | 7.196 | 1.615 | 32.068 | |
| Wife job: | Housewife | Ref | |||
| Private sector | 0.666 | 0.926 | 0.654 | 1.312 | |
| Government official | 0.567 | 1.091 | 0.810 | 1.471 | |
| Do you have any medical condition? | None | Ref | |||
| Diabetes | 0.265 | 1.456 | 0.752 | 2.820 | |
| Hypertension | 0.167 | 0.433 | 0.132 | 1.419 | |
| Heart disease | 0.964 | 0.966 | 0.213 | 4.384 | |
| Other | 0.223 | 0.712 | 0.413 | 1.228 | |
| Do you have high risk pregnancy? | No | Ref | |||
| Preterm labor | 0.303 | 0.721 | 0.387 | 1.343 | |
| Gestational hypertension | 0.419 | 0.695 | 0.287 | 1.682 | |
| Fetal structural anomalies | 0.999 | 0.000 | 0.000 | ||
| Multifetal pregnancy | 0.488 | 0.755 | 0.341 | 1.671 | |
| Gestational diabetes mellitus. | 0.013 | 1.867 | 1.142 | 3.054 | |
| Epilepsy | 1.000 | - | - | - | |
| Placenta previa | 0.392 | 0.688 | 0.291 | 1.623 | |
| Did you care about using mask during pandemic period? Yes | 0.206 | 1.281 | 0.872 | 1.883 | |
| Did you have COVID-19 in this pregnancy? Yes | 0.192 | 1.245 | 0.896 | 1.731 | |
| Was the Influenza vaccine recommended in the present pregnancy? Yes | 0.324 | 1.186 | 0.845 | 1.665 | |
| If the Influenza vaccine recommended would you have vaccinated in the present pregnancy? Yes | 0.000 | 4.557 | 3.583 | 5.795 | |
| Have you been vaccinated for Influenza in the present pregnancy? Yes | 0.197 | 0.706 | 0.417 | 1.197 | |
| Was the tetanus vaccine recommended in the present pregnancy? Yes | 0.511 | 0.858 | 0.545 | 1.353 | |
| Have you been vaccinated for tetanus in the present pregnancy? Yes | 0.039 | 1.816 | 1.031 | 3.200 | |
| Are you going to have vaccinated your baby after birth? Yes | 0.411 | 1.339 | 0.667 | 2.685 | |
| Do you think that you have enough information about COVID-19 vaccine? Yes | 0.186 | 1.163 | 0.930 | 1.456 | |
| Do you think COVİD-19 vaccine carry out possibility of harm for your baby? Yes | 0.000 | 0.125 | 0.099 | 0.158 | |
Notes: *Variables adapted with permission from John Wiley and Sons: Ayhan SG, Oluklu D, Atalay A, et al. COVID‐19 vaccine acceptance in pregnant women. Int J Gynecol Obstet. 2021;154:291–296. DOI:10.1002/ijgo.13713.21 © 2021 International Federation of Gynecology and Obstetrics.
Figure 2Reasons of refusal of getting a COVID-19 vaccine among the participant group.