tx_mmd: Subset active clients based on months of ARV Dispensed

In stephenbalogun/tidyndr: Analysis of the Nigeria National Data Repository (NDR)

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

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"
)

stephenbalogun/tidyndr documentation built on Feb. 6, 2023, 11:35 p.m.