tabItem(tabName = "opt-intro",
column(width = 8,
box(width = NULL,
status = "primary",
solidHeader = TRUE,
title = "Interventions Targeting The Care Cascade",
"The structure of the model allows us to implement and assess the impact of six broad
interventions acting on various elements of the cascade. The interventions are described
below and can be implemented on the following pages.",
tags$h3("HIV Testing"),
"We simulate a broad HIV-testing intervention, that involves increasing the rate at which
undiagnosed individuals become diagnosed. As the model does not account for HIV-negative
individuals this rate cannot be interpretted as an 'HIV-testing rate', as the true HIV-testing
rate would depend on the proportion of postive undiagnosed individuals in the population
and would almost certainly be higher. However, this intervention will be able to identify
how many more individuals need to be diagnosed per year.",
tags$h3("Linkage"),
"We simulate a linkage intervention that adjusts the proportion of diagnosed individuals
that link to care. After diagnosis, a proportion (q) of infected individuals link to pre-ART
care at a rate (epsilon) determined during calibration. However, 1-q individuals fail to
link to care and are lost to follow-up; although, all individuals have the propensity to
seek care at a rate determined by their current health state. As an individual's CD4 count
declines, they seek care at a higher rate.",
tags$h3("Pre-ART Retention"),
"During calibration, a rate of loss from pre-ART care for diagnosed individuals is derived
(kappa). We simulate a pre-ART retention intervention that reduces pre-ART loss by lowering
the pre-ART loss rate, kappa. This keep patients engaged in pre-ART care and increases the
likelihood that they will initiate ART.",
tags$h3("ART Initiation"),
"Our ART initiation intervention involves increasing the rate at which diagnosed individuals
engaged in pre-ART care start treatment. This rate is initially derived during calibration,
but is also dependent upon country specific treatment guidelines. For example, an individual
will not initiate ART with a CD4 count of >500 if the national guidelines only suggest ART
for persons with CD4 <350.",
tags$h3("Adherence"),
"Upon initiating ART, a proportion (p) of patients adhere to treatment and become virally
suppressed. However, 1-p individuals do not adhere to treatment and HIV progresses as if
they were treatment naive. We implement an adherence intervention by allowing non-adherent
persons on treatment to start adhereing at some rate, sigma. Prior to the intervention,
this rate is zero, and no individuals progress from non-adherent to adherent states.",
tags$h3("ART Retention"),
"Finally, we simulate an intervention that reduces loss to follow-up for persons on treatment.
During calibration we derive a baseline rate at which individuals are lost from ART care,
omega. We simulate an intervention by reducing this rate of loss from care. Additionally,
this rate applies to both adherent and non-adherent persons on ART."
)
),
column(width = 4,
box(width = NULL,
status = "primary",
solidHeader = TRUE,
title = "Help Panel",
"With a calibrated model of the cascade, we can project forward until 2020, to estimate
changes to the distribution of individuals in care. This allows us to ascertain whether
the UNAIDS 90-90-90 targets will be met, along with estimating changes in HIV incidence
and AIDS-related mortality. Additionally, this calibrated model allows us to explore the
impact and cost of a range of hypothetical interventions acting at various stages of care.
Due to the simplistic nature of the model, however, we can only test broad categories of
interventions. Potential interventions that can be simulated are listed in the main panel.",
helpText("Please hit 'Start' to begin simulating interventions.
Further page options are available from the sidebar."),
fluidRow(
column(width = 6,
bsButton(inputId = "intDetail",
label = "Intervention Detail",
type = "action",
style = "primary",
size = "default",
block = TRUE,
icon = icon("info", class = "fa-lg fa-fw", lib = "font-awesome"))
),
column(width = 6,
bsButton(inputId = "intCost",
label = "Intervention Cost",
type = "action",
style = "primary",
size = "default",
block = TRUE,
icon = icon("usd", class = "fa-lg fa-fw", lib = "font-awesome"))
)
),
p(""),
bsButton(inputId = "intFit",
label = "Selected Parameter Sets",
type = "action",
style = "primary",
size = "default",
block = TRUE,
icon = icon("area-chart", class = "fa-lg fa-fw", lib = "font-awesome"))
),
box(width = NULL,
status = "danger",
# background = "black",
title = "Intervention Control",
collapsible = TRUE,
collapsed = FALSE,
solidHeader = TRUE,
bsButton(inputId = "intCheck_testing", label = "Testing", type = "action", style = "success", size = "default", block = TRUE, icon = icon("check", class = "fa-lg fa-fw", lib = "font-awesome")),
bsButton(inputId = "intCheck_linkage", label = "Linkage", type = "action", style = "success", size = "default", block = TRUE, icon = icon("check", class = "fa-lg fa-fw", lib = "font-awesome")),
bsButton(inputId = "intCheck_preRetention", label = "Pre-ART Retention", type = "action", style = "success", size = "default", block = TRUE, icon = icon("check", class = "fa-lg fa-fw", lib = "font-awesome")),
bsButton(inputId = "intCheck_initiation", label = "ART Initiation", type = "action", style = "success", size = "default", block = TRUE, icon = icon("check", class = "fa-lg fa-fw", lib = "font-awesome")),
bsButton(inputId = "intCheck_adherence", label = "Adherence", type = "action", style = "success", size = "default", block = TRUE, icon = icon("check", class = "fa-lg fa-fw", lib = "font-awesome")),
bsButton(inputId = "intCheck_retention", label = "ART Retention", type = "action", style = "success", size = "default", block = TRUE, icon = icon("check", class = "fa-lg fa-fw", lib = "font-awesome"))
),
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),
column(width = 6,
HTML('<button id="NEXT_optIntro" type="button" class="btn action-button btn-success btn-lg btn-block"> Start <i class="fa fa-play fa-lg fa-fw"></i> </button>')
)
)
)
)
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