Using the Health Belief Model to Identify Predictors of COVID-19 Vaccine Acceptance among a Sample of Pregnant Women in the U.S.: A Cross-Sectional Survey
The aim of the study was to identify factors that predict acceptance of the COVID-19 vaccine among pregnant women. Using the Health Belief Model, the authors administered a cross-sectional survey of pregnant and postpartum women in the United States during the COVID-19 pandemic. Overall, 227 women a...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Vaccines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-393X/10/6/842 |
| _version_ | 1797481624711987200 |
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| author | Aubrey Jones Dorothy Wallis |
| author_facet | Aubrey Jones Dorothy Wallis |
| author_sort | Aubrey Jones |
| collection | DOAJ |
| description | The aim of the study was to identify factors that predict acceptance of the COVID-19 vaccine among pregnant women. Using the Health Belief Model, the authors administered a cross-sectional survey of pregnant and postpartum women in the United States during the COVID-19 pandemic. Overall, 227 women agreed to participate and completed the entire survey. Over half (59%) the participants had received the COVID-19 vaccine at the time of the study. Perceived barriers to vaccination (<i>p</i> < 0.001) and perceived benefits (<i>p</i> < 0.001) to vaccination were statistically significant predictors of vaccination. Trust in healthcare providers was also statistically predictive of vaccination (<i>p</i> = 0.001). Binary regression results were statistically significant (χ2(9) = 79.90, <i>p</i> < 0.001), suggesting that perceived benefits, barriers, severity, and susceptibility scores had a statistically significant effect on the odds of a participant being vaccinated. Results indicate a need for increased patient education regarding COVID-19 vaccination during pregnancy, including the benefits of vaccination for mother and fetus. |
| first_indexed | 2024-03-09T22:17:15Z |
| format | Article |
| id | doaj.art-645a935d7d8f43b18162a5595885fd83 |
| institution | Directory Open Access Journal |
| issn | 2076-393X |
| language | English |
| last_indexed | 2024-03-09T22:17:15Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Vaccines |
| spelling | doaj.art-645a935d7d8f43b18162a5595885fd832023-11-23T19:20:07ZengMDPI AGVaccines2076-393X2022-05-0110684210.3390/vaccines10060842Using the Health Belief Model to Identify Predictors of COVID-19 Vaccine Acceptance among a Sample of Pregnant Women in the U.S.: A Cross-Sectional SurveyAubrey Jones0Dorothy Wallis1College of Social Work, The University of Kentucky, Lexington, KY 40506, USACollege of Social Work, The University of Tennessee, Knoxville, TN 37996, USAThe aim of the study was to identify factors that predict acceptance of the COVID-19 vaccine among pregnant women. Using the Health Belief Model, the authors administered a cross-sectional survey of pregnant and postpartum women in the United States during the COVID-19 pandemic. Overall, 227 women agreed to participate and completed the entire survey. Over half (59%) the participants had received the COVID-19 vaccine at the time of the study. Perceived barriers to vaccination (<i>p</i> < 0.001) and perceived benefits (<i>p</i> < 0.001) to vaccination were statistically significant predictors of vaccination. Trust in healthcare providers was also statistically predictive of vaccination (<i>p</i> = 0.001). Binary regression results were statistically significant (χ2(9) = 79.90, <i>p</i> < 0.001), suggesting that perceived benefits, barriers, severity, and susceptibility scores had a statistically significant effect on the odds of a participant being vaccinated. Results indicate a need for increased patient education regarding COVID-19 vaccination during pregnancy, including the benefits of vaccination for mother and fetus.https://www.mdpi.com/2076-393X/10/6/842COVID-19pregnancyhealth belief model |
| spellingShingle | Aubrey Jones Dorothy Wallis Using the Health Belief Model to Identify Predictors of COVID-19 Vaccine Acceptance among a Sample of Pregnant Women in the U.S.: A Cross-Sectional Survey Vaccines COVID-19 pregnancy health belief model |
| title | Using the Health Belief Model to Identify Predictors of COVID-19 Vaccine Acceptance among a Sample of Pregnant Women in the U.S.: A Cross-Sectional Survey |
| title_full | Using the Health Belief Model to Identify Predictors of COVID-19 Vaccine Acceptance among a Sample of Pregnant Women in the U.S.: A Cross-Sectional Survey |
| title_fullStr | Using the Health Belief Model to Identify Predictors of COVID-19 Vaccine Acceptance among a Sample of Pregnant Women in the U.S.: A Cross-Sectional Survey |
| title_full_unstemmed | Using the Health Belief Model to Identify Predictors of COVID-19 Vaccine Acceptance among a Sample of Pregnant Women in the U.S.: A Cross-Sectional Survey |
| title_short | Using the Health Belief Model to Identify Predictors of COVID-19 Vaccine Acceptance among a Sample of Pregnant Women in the U.S.: A Cross-Sectional Survey |
| title_sort | using the health belief model to identify predictors of covid 19 vaccine acceptance among a sample of pregnant women in the u s a cross sectional survey |
| topic | COVID-19 pregnancy health belief model |
| url | https://www.mdpi.com/2076-393X/10/6/842 |
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