Analytic approach
REGRESSION, SECONDARY, COVID-19 INFECTION
Quantitative data from surveys, study databases, and EHRs will be summarized using simple descriptive statistics along with data visualization methods to understand patterns and characteristics of responders and nonresponders and to guide adaptive implementation. Parametric and nonparametric tests will be employed to compare the survey responses between the arms of the trial variables and clinic locations. Factors will initially be assessed at the univariate level and then used to build multivariable models to assess independent associations of multiple factors on vaccination uptake, including community level factors such as prevalence of COVID-19 vaccination, history of COVID-19 infection, and primary community language group. Multinomial logistic regression models will explore the relation between standard of care, mHealth outreach, and mHealth plus care coordination and COVID-19 vaccine uptake, while controlling for a variety of demographic and socioeconomic variables and comorbidities, as well as FQHC clinic characteristics. Additionally, the association between adaptive interventions and the secondary clinical composite outcome, preventive services engagement, including age and gender-specific services will be evaluated. Descriptive analysis will be used to characterize within subgroup differences. Mixed-effects logistic regression models will be used to identify factors associated with COVID-19 vaccine uptake and vaccine confidence using EHR and demographic data collected with participant evaluation surveys.Qualitative data will be culled from interviews, periodic reflections, and study databases. All qualitative data will be coded using a rapid qualitative data analytic approach guided by the domains of PRISM, informed by prior work of the lead and senior authors across diverse contexts [A matrix approach will be used to triangulate data from quantitative and qualitative sources using the key domains of PRISM. A joint display analysis will be produced to support the integration of data sources [