tidyndr (version 0.2.1)

tx_mmd: Subset active clients based on months of ARV Dispensed

Description

Generates list of clients who had 3 - 6 months of ARV dispensed during the medication refill. You can specify the number of month(s) of ARV dispensed by changing the month argument.

Usage

tx_mmd(
  data,
  months = NULL,
  states = NULL,
  facilities = NULL,
  status = "default",
  remove_duplicates = FALSE
)

Arguments

data

An NDR dataframe imported using the read_ndr().

months

The number(s) of months of interest of ARV dispensed. The default is to subset active clients who had 3 - 6 months of ARV dispensed.

states

The name(s) of the State(s) of interest. The default utilizes all the states in the dataframe. If specifying more than one state, combine the states using the c() e.g. c("State 1", "State 2").

facilities

The name(s) of the facilit(ies) of interest. Default is to utilize all the facilities contained in the dataframe. If specifying more than one facility, combine the facilities using the c() e.g. c("Facility 1", "Facility 2").

status

Determines how the number of active clients is calculated. The options are to either to use the NDR current_status_28_days column or the derived current_status column ("calculated").

remove_duplicates

Boolean argument. It specifies if duplicate patient entries in the facilities should be removed or kept

Value

tx_mmd

Examples

# NOT RUN {
tx_mmd(ndr_example)

# subset active clients who had 2 or 4 months of ARV dispensed at last encounter
tx_mmd(ndr_example,
  months = c(2, 4),
  status = "default"
)
# }