Behavioral and Social Drivers of COVID-19 Vaccination in the United States, August–November 2021

Bonner, Kimberly; Vashist, Kushagra; Abad, Neetu; Kriss, Jennifer L.; Meng, Lu; Lee, James T.; Wilhelm, Elisabeth; Lu, Peng–jun; Carter, Rosalind J.; Boone, Kwanza D.; Baack, Brittney N.; Masters, Nina B.; Weiss, Debora; Black, Carla L.; Huang, Qian; Vangala, Sitaram; Albertin, Christina; Szilâgyi, Peter G.; Brewer, Noel T.; Singleton, James A.

doi:10.1016/j.amepre.2023.01.014

Cited by 13 publications

(3 citation statements)

References 43 publications

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“…The strong influence of high vaccine confidence and risk perception is corroborated in prior studies [21], [22], [23], [24] with the pandemic reported to have had a positive impact on general vaccine confidence in Kenya. c Masters et al also cited low confidence in COVID-19 vaccine as the strongest correlate of not taking COVID-19 vaccines (adjusted prevalence ratio = 5.19, 95% CI = 4.93 – 5.47) [25].…”

Section: Discussionsupporting

confidence: 67%

Behavioural and Social Predictors of COVID-19 Vaccine Uptake among Persons with Disabilities in Kenya

Josphat,

Moraro,

Omogi

et al. 2023

Preprint

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The uptake of the COVID-19 vaccine by persons with disabilities remains largely unknown in low-and middle-income countries. This evidence gap necessitates disability-focused research to inform improvements in access and inclusion in the last mile of COVID-19 vaccination programs and to support future programs for other vaccine-preventable diseases. We aimed to identify behavioural and social predictors of COVID-19 uptake among persons with disabilities in Kenya. This was a convergent parallel mixed method study that involved questionnaires (792), key informants interviews, and focus group discussions among persons with disabilities and key stakeholders (government actors and professional associations). Data were analysed using STATA statistical analysis software (version 14). Chi-square (X2) and Fisher’s exact tests were used to test for differences in categorical variables; multivariate regression analysis was employed to ascertain the factors that influence uptake of COVID-19 among persons with disabilities (PWDs) in Kenya. Approximately 59% of persons with disabilities reported to be fully vaccinated, with significant disparities noted among those with cognition (34.2%) and self-care (36.6%) impairments. Confidence in vaccine benefits (Adjusted odds ration [OR]; 11.3, 95% CI; 5.2-24.2), health worker recommendation (OR; 2.6, 95% CI; 1.8-3.7), employment (OR; 2.1, 95% CI; 1.4-3.1), perceived risk (OR; 2.0, 95% CI; 1.3-3.1), age and area of residence were statistically significant predictors of vaccine uptake among PWDs. The primary reasons for low uptake included perceived negative vaccine effects and lack of adequate information. No association was found between having a primary caregiver and/or assistive device, with COVID-19 vaccine uptake. Subsequent vaccination deployments should map and reach PWDs through relevant institutions of PWDs, and localized vaccination campaigns. Related communication strategies should leverage on behaviour change techniques that inspire confidence in vaccines, and on the credibility and trust in health workers to improve vaccine uptake.

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Section: Discussionsupporting

confidence: 67%

Behavioural and Social Predictors of COVID-19 Vaccine Uptake among Persons with Disabilities in Kenya

Josphat,

Moraro,

Omogi

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…This breadth is the second contribution of our study. Where there is overlap between our study and others, there is generally agreement in the variables most strongly associated with vaccination intention in the USA, including fear of negative effects and feelings of social responsibility 30…”

Section: Discussionmentioning

confidence: 47%

“…Where there is overlap between our study and others, there is generally agreement in the variables most strongly associated with vaccination intention in the USA, including fear of negative effects and feelings of social responsibility. 30 As there are many psychobehavioural factors to consider-for example, our regression contained over 30 psychobehavioural variables-providing a way to characterise and predict which are most important and for which people in which locations is a key step in making our findings more actionable. This is the third key contribution and was a main objective of our study.…”

Section: Discussion Principal Findings and Strengths Of The Studymentioning

confidence: 99%

How do psychobehavioural variables shed light on heterogeneity in COVID-19 vaccine acceptance? Evidence from United States general population surveys on a probability panel and social media

Charles¹,

Braunstein

Barker

et al. 2023

BMJ Open

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ObjectivesTo (1) understand what behaviours, beliefs, demographics and structural factors predict US adults’ intention to get a COVID-19 vaccination, (2) identify segments of the population (‘personas’) who share similar factors predicting vaccination intention, (3) create a ‘typing tool’ to predict which persona people belong to and (4) track changes in the distribution of personas over time and across the USA.DesignThree surveys: two on a probability-based household panel (NORC’s AmeriSpeak) and one on Facebook.SettingThe first two surveys were conducted in January 2021 and March 2021 when the COVID-19 vaccine had just been made available in the USA. The Facebook survey ran from May 2021 to February 2022.ParticipantsAll participants were aged 18+ and living in the USA.Outcome measuresIn our predictive model, the outcome variable was self-reported vaccination intention (0–10 scale). In our typing tool model, the outcome variable was the five personas identified by our clustering algorithm.ResultsOnly 1% of variation in vaccination intention was explained by demographics, with about 70% explained by psychobehavioural factors. We identified five personas with distinct psychobehavioural profiles: COVID Sceptics (believe at least two COVID-19 conspiracy theories), System Distrusters (believe people of their race/ethnicity do not receive fair healthcare treatment), Cost Anxious (concerns about time and finances), Watchful (prefer to wait and see) and Enthusiasts (want to get vaccinated as soon as possible). The distribution of personas varies at the state level. Over time, we saw an increase in the proportion of personas who are less willing to get vaccinated.ConclusionsPsychobehavioural segmentation allows us to identifywhypeople are unvaccinated, not justwhois unvaccinated. It can help practitioners tailor the right intervention to the right person at the right time to optimally influence behaviour.

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Leveraging Employee Value Creation in Building Organizational Resilience: A Serial Mediation Approach

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2024

Employ Respons Rights J

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Behavioral and Social Drivers of COVID-19 Vaccination in the United States, August–November 2021

Cited by 13 publications

References 43 publications

Behavioural and Social Predictors of COVID-19 Vaccine Uptake among Persons with Disabilities in Kenya

Behavioural and Social Predictors of COVID-19 Vaccine Uptake among Persons with Disabilities in Kenya

How do psychobehavioural variables shed light on heterogeneity in COVID-19 vaccine acceptance? Evidence from United States general population surveys on a probability panel and social media

Leveraging Employee Value Creation in Building Organizational Resilience: A Serial Mediation Approach

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