R/main_pulesa_data.R

In LAGOtrials: Learn-as-You-Go Adaptive Trial Optimization

#' PULESA hypertension-care data (main model)
#'
#' Clinic-level data from the PULESA study, a cluster-randomized trial of a
#' multi-component intervention to improve hypertension care. Each row is one
#' clinic in one time period. This is the version used to fit the "main" LAGO
#' outcome model, whose intervention components are access to blood-pressure
#' machines, access to medicines, delivery mode, hypertension training,
#' performance improvement, and remote monitoring.
#'
#' @format A data frame with 192 rows and 15 variables:
#' \describe{
#'   \item{Clinic}{Clinic (cluster) identifier}
#'   \item{Period}{Study time period}
#'   \item{AccessBPMachines}{Intervention component: access to blood-pressure machines}
#'   \item{AccessMedicines}{Intervention component: access to medicines}
#'   \item{DeliveryA}{Intervention component: care delivery mode A}
#'   \item{DeliveryB}{Intervention component: care delivery mode B}
#'   \item{HypertensionTraining}{Intervention component: hypertension training}
#'   \item{MI_DeliveryB}{Interaction term involving delivery mode B}
#'   \item{MI_PerformanceImprovement}{Interaction term involving performance improvement}
#'   \item{MI_RemoteMonitoring}{Interaction term involving remote monitoring}
#'   \item{PerformanceImprovement}{Intervention component: performance improvement}
#'   \item{Proportions}{Outcome: proportion of successes at the clinic-period}
#'   \item{RemoteMonitoring}{Intervention component: remote monitoring}
#'   \item{Success}{Outcome: number of successes at the clinic-period}
#'   \item{Total_visit}{Number of visits at the clinic-period}
#' }
#'
#' @examples
#' data(main_pulesa_data)
#' head(main_pulesa_data)
"main_pulesa_data"