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1.
Article in English | MEDLINE | ID: mdl-38629392

ABSTRACT

Objective: To explore associations between maternal characteristics and recall of obstetric provider actions in promoting antepartum tetanus-diphtheria-acellular-pertussis (Tdap) vaccination. Methods: A convenience sample of 1,682 postpartum women was surveyed in this cross-sectional study. Maternal characteristics and recall of four obstetric provider actions (recommending antepartum Tdap vaccine, offering it in clinic, providing written information, and referring patients elsewhere for vaccination) were collected. Univariate and multivariable logistic regression analyses were performed to characterize the association between maternal characteristics and each provider action. Results: Among 1,604 surveys (95% of total collected), maternal recall of an obstetric provider recommending Tdap vaccination, offering it in clinic, providing written information, or referring patients elsewhere was 68%, 59%, 53%, and 15%, respectively. Multivariable analysis revealed specific maternal characteristics that increased odds of recalling at least one obstetric provider action promoting Tdap vaccination, including receipt of first trimester prenatal care (adjusted odds ratio [aOR] 1.77, 95% confidence interval [CI] = 1.06-2.97), primiparity (aOR 1.35, 95% CI = 1.05-1.75), private health insurance (aOR 1.56, 95% CI = 1.16-2.04), higher household income (aOR ranging from 1.71 to 2.10 for ≥$150,000 for two actions), and non-White, non-Hispanic race/ethnicity (aOR ranging from 1.49 to 1.74 for Asian non-Hispanic for two actions and aOR 1.71 for Black non-Hispanic). Conclusion: Prenatal care, parity, insurance type, household income, and race/ethnicity are associated with recall of obstetric provider activities that impact antepartum Tdap vaccine promotion. Obstetric providers should recommend this potentially life-saving vaccine with each pregnancy, irrespective of differences in maternal characteristics, and policymakers should work to combat systemic factors that may cause disparities in uptake.

2.
Vaccine ; 42(9): 2260-2270, 2024 Apr 02.
Article in English | MEDLINE | ID: mdl-38431443

ABSTRACT

Many children are still not vaccinated against COVID-19, often attributed to rising pediatric vaccine hesitancy. To address this complex public health issue, interventions that uncover parental thinking at point of care are needed to help facilitate discussions in the exam room. The cognitive science framework of Rule Developing Experimentation helps distinguish how people think about day-to-day topics by presenting respondents with a systematic combination of messages that determines the ideas primarily driving their decisions. We hypothesized that Rule Developing Experimentation can empirically assess and identify parental mind-sets in deciding to vaccinate their children to prevent COVID-19. Artificial intelligence was also incorporated to more efficiently help formulate messages. Through an iterative process, surveying a total of 600 participants, three mind-sets emerged regarding the types of messages which parents believe would convince them to vaccinate their children to prevent COVID-19. These three mind-sets are summarized by the following phrases - "Covid is Serious," "Science Says Vaccine Works," and "Vaccine Returns Kids to Normalcy". Using these mind-sets, a simple six-question instrument (i.e., Personal Viewpoint Identifier) was then created to quickly discern at point of care a parent's mind-set surrounding pediatric COVID-19 vaccination. By quickly identifying a parent's mindset at point of care, providers can then utilize the results of the assessment to deliver individualized messaging to parents about the benefits of COVID-19 vaccination. A future study is planned to evaluate the impact of incorporating the Personal Viewpoint Identifier into routine pediatric care settings on COVID-19 vaccination rates.


Subject(s)
COVID-19 , Point-of-Care Systems , Humans , Child , COVID-19 Vaccines , Artificial Intelligence , COVID-19/prevention & control , Parents , Vaccination
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