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1.
PLOS Digit Health ; 2(4): e0000147, 2023 Apr.
Artículo en Inglés | MEDLINE | ID: covidwho-2303351

RESUMEN

COVID-19 vaccination rates among children have stalled, while new coronavirus strains continue to emerge. To improve child vaccination rates, policymakers must better understand parental preferences and reasons for COVID-19 vaccination among their children. Cross-sectional surveys were administered online to 30,174 US parents with at least one child of COVID-19 vaccine eligible age (5-17 years) between January 1 and May 9, 2022. Participants self-reported willingness to vaccinate their child and reasons for refusal, and answered additional questions about demographics, pandemic related behavior, and vaccination status. Willingness to vaccinate a child for COVID-19 was strongly associated with parental vaccination status (multivariate odds ratio 97.9, 95% confidence interval 86.9-111.0). The majority of fully vaccinated (86%) and unvaccinated (84%) parents reported concordant vaccination preferences for their eligible child. Age and education had differing relationships by vaccination status, with higher age and education positively associated with willingness among vaccinated parents. Among all parents unwilling to vaccinate their children, the two most frequently reported reasons were possible side effects (47%) and that vaccines are too new (44%). Unvaccinated parents were much more likely to list a lack of trust in government (41% to 21%, p < .001) and a lack of trust in scientists (34% to 19%, p < .001) as reasons for refusal. Cluster analysis identified three groups of unwilling parents based on their reasons for refusal to vaccinate, with distinct concerns that may be obscured when analyzed in aggregate. Factors associated with willingness to vaccinate children and reasons for refusal may inform targeted approaches to increase vaccination.

2.
Lancet Digit Health ; 5(3): e109-e111, 2023 Mar.
Artículo en Inglés | MEDLINE | ID: covidwho-2280410
3.
Am J Med ; 134(11): 1424-1426, 2021 11.
Artículo en Inglés | MEDLINE | ID: covidwho-1330598

RESUMEN

BACKGROUND: A decrease in coronavirus disease 2019 (COVID-19) vaccination rates has led some states to consider various incentives to boost demand for vaccines. On May 13, 2021, Ohio announced a free weekly lottery for individuals who received at least 1 COVID-19 vaccination. This study seeks to rigorously quantify the impact of Ohio's vaccination lottery. METHODS: A synthetic control consisting of a weighted combination of other states was used to approximate the demographic characteristics, new cases, and vaccination rates in Ohio prior to the lottery announcement. The difference in vaccination rates in Ohio and the synthetic control following the lottery announcement was then used to estimate the lottery's impact. RESULTS: Prior to the lottery announcement, Ohio and synthetic Ohio had similar demographic characteristics and new case rates. Ohio and synthetic Ohio also had identical first vaccination rates. By the final lottery enrollment date of June 20, the percentage of the population with first vaccinations increased to 47.41% in Ohio and 46.43% in synthetic Ohio for a difference of 0.98% (95% confidence interval [CI] 0.42-1.54). CONCLUSION: An additional 114,553 Ohioans received vaccinations as a result of the Vax-a-Million program (95% CI 49,094-180,012) at a cost of approximately $49 per Ohioan vaccinated (95% CI $31-$114). However, a majority of Ohioans remained unvaccinated by the end of the lottery, indicating that additional efforts are needed to address barriers to vaccination. This synthetic control approach may also be useful to evaluate other COVID-19 incentive programs.


Asunto(s)
Control de la Conducta/métodos , COVID-19 , Programas de Inmunización , Vacunación Masiva , Motivación , Cobertura de Vacunación , COVID-19/epidemiología , COVID-19/prevención & control , Femenino , Humanos , Programas de Inmunización/métodos , Programas de Inmunización/organización & administración , Programas de Inmunización/estadística & datos numéricos , Masculino , Vacunación Masiva/psicología , Vacunación Masiva/estadística & datos numéricos , Persona de Mediana Edad , Ohio/epidemiología , SARS-CoV-2 , Cobertura de Vacunación/métodos , Cobertura de Vacunación/estadística & datos numéricos , Negativa a la Vacunación/psicología
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