| Literature DB >> 35214664 |
Majdi M Sabahelzain1,2, Mohamed Moukhyer3,4,5, Bart van den Borne2, Hans Bosma6.
Abstract
Vaccine uptake is one of the indicators that has been used to guide immunization programs. This study aimed to evaluate whether measles vaccine uptake is predicted by measles vaccine hesitancy. A community-based cross-sectional study was conducted in urban districts in Khartoum state in February 2019. Measles vaccine uptake among children was measured as either fully vaccinated or partially/not vaccinated. The Parent Attitudes about Childhood Vaccines (PACV) scale was used to measure measles vaccine hesitancy. Multivariate logistic regression was run to identify the predictors of measles vaccination uptake, controlling for sociodemographic variables, and the adjusted odds ratios (aORs) with 95% CI were calculated. The receiver operator characteristic (ROC) curve was created, and the area under the curve (AUC) for the PACV was computed. Data were collected from 495 participants. We found that measles vaccine hesitancy (PACV scores) predicts the uptake of measles vaccine after controlling for other potential social confounders, such as the mother's age and the number of children (aOR 1.055; 95% CI 1.028-1.028). Additionally, the ROC for the PACV yielded an area under the curve (AUC 0.686 (95% CI 0.620-0.751; p < 0.001)). Our findings show that measles vaccine hesitancy in Sudan directly influences the uptake of the measles vaccine. Addressing the determinants of vaccine hesitancy through communication strategies will improve vaccine uptake.Entities:
Keywords: PACV; Sudan; immunization; measles vaccine; measles vaccine uptake; vaccine hesitancy
Year: 2022 PMID: 35214664 PMCID: PMC8875338 DOI: 10.3390/vaccines10020205
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
Association of the characteristics of the surveyed parents/guardians with measles vaccination status. n = 495.
| Characteristics | Measles Vaccination Uptake/Status | ||||||
|---|---|---|---|---|---|---|---|
| Total | Fully Vaccinated | Partially/Unvaccinated | |||||
| % | % | ||||||
| Area of the study | Alsharafia | 152 (30.7) | 128 | 84.2% | 24 | 15.8% | 0.077 |
| Abo Saeed | 343 (69.3) | 308 | 89.8% | 35 | 10.2% | ||
| Mother’s Education | Illiterate | 14 (2.8) | 11 | 78.6% | 3 | 21.4% | 0.162 |
| Primary | 63 (12.7) | 51 | 81.0% | 12 | 19.0% | ||
| Secondary | 170 (34.3) | 151 | 88.8% | 19 | 11.2% | ||
| University | 248 (50.1) | 223 | 89.9% | 25 | 10.1% | ||
| Mother’s Employment | Housewife | 370 (74.7) | 323 | 87.3% | 47 | 12.7% | 0.017 *,b |
| Student | 11 (2.2) | 10 | 90.9% | 1 | 9.1% | ||
| Worker | 14 (2.8) | 12 | 85.7% | 2 | 14.3% | ||
| Officer | 50 (10.1) | 48 | 96.0% | 2 | 4.0% | ||
| Professional (e.g., Engineer) | 33 (6.7) | 32 | 97.0% | 1 | 3.0% | ||
| Self-employed | 16 (3.2) | 10 | 62.5% | 6 | 37.5% | ||
| Others | 1 (0.2) | 1 | 100.0% | 0 | 0.0% | ||
| Income Level | High | 70 (14.1) | 65 | 92.9% | 5 | 7.1% | 0.268 |
| (Self-Ranking) | Medium | 391 (79.0) | 343 | 87.7% | 48 | 12.3% | |
| Low | 34 (6.9) | 28 | 82.4% | 6 | 17.6% | ||
| Number of Children | 1 | 218 (44.0) | 185 | 84.9% | 33 | 15.1% | 0.041 * |
| 2 | 227 (45.9) | 209 | 92.1% | 18 | 7.9% | ||
| 3 and more | 50 (10.1) | 42 | 84.0% | 8 | 16.0% | ||
| Total number of household’s members | 3–4 | 178 (36.0) | 169 | 94.9% | 9 | 5.1% | 0.002 * |
| 5–6 | 159 (32.1) | 134 | 84.3% | 25 | 15.7% | ||
| 7 and more | 158 (31.9) | 133 | 84.2% | 25 | 15.8% | ||
* Statistically significant, b = Fisher’s exact test.
Pearson correlations between measles vaccine uptake and the socioeconomic factors and measles vaccine hesitancy (PACV).
| Socioeconomic Factors | Area of Study | Mothers’ Age | Mothers’ Education | Mother’s Employment | Family Income Level | Number of Children | Number of Household Members | PACV Scores | Measles Vaccine Uptake |
|---|---|---|---|---|---|---|---|---|---|
| Area of Study | X | ||||||||
| Mothers’ Age | 0.116 * | X | |||||||
| Mothers’ Education | 0.160 ** | 0.006 | X | ||||||
| Mother’s Employment | 0.034 | 0.045 | 0.191 ** | X | |||||
| Family Income Level | −0.175 ** | 0.005 | −0.293 ** | −0.183 ** | X | ||||
| Number of Children | −0.017 | −0.013 | −0.053 | −0.038 | 0.067 | X | |||
| Number of Household Members | 0.047 | 0.402 ** | −0.266 ** | −0.067 | 0.144 ** | 0.219 ** | X | ||
| PACV Scores | −0.039 | 0.037 | −0.011 | 0.031 | 0.009 | 0.103 * | 0.082 | X | |
| Measles Vaccine Uptake | −0.080 | 0.091 * | −0.091 * | −0.014 | 0.073 | −0.048 | 0.139 ** | 0.222 ** | X |
* Significant at the 0.05 level (2-tailed); ** Significant at the 0.01 level (2-tailed), n = 495.
Predictors of partial vaccination or no vaccination with measles vaccine in Khartoum state, Sudan.
| Predictors | OR (95% CI of OR) | aOR (95% CI of OR) |
|---|---|---|
| PACV scores | 1.053 * (1.030–1.078) | 1.054 * (1.028–1.081) |
| Age of mother | 1.049 * (1.001–1.100) | 1.020 (0.966–1.076) |
| Number of household’s members ** | ||
| 3–4 (ref) | ||
| 5–6 | 3.503 * (1.582–7.757) | 3.317 * (1.450–7.589) |
| 7 and more | 3.530 * (1.594–7.817) | 2.528 * (1.044–7.881) |
| Mother’s employment | ||
| Housewife (ref) | ||
| Student | 0.687 (0.086–5.491) | 0.575 (0.065–5.064) |
| Worker | 1.145 (0.249–5.279) | 0.922 (0.185–4.586) |
| Officer | 0.286 (0.067–1.217)0 | 0.317 (0.073–1.377) |
| Professional (e.g., engineer, doctor) | 0.215 (0.029–1.609)0 | 0.231(0.030–1.770) |
| Self-employed | 4.123 * (1.432–11.870) | 3.189 (0.868–11.718) |
* p < 0.05, aOR = adjusted odds ratio; ref = reference category; ** the number of household members was strongly related to the mother’s education and the number of children (r = −0.266 and 0.219, respectively; p < 0.01), therefore, only the number of household members was included in the multiple regression analysis.
Figure 1Receiver operating characteristic (ROC) analysis of the PACV scores for the screening of vaccine hesitancy.