Calculates the flow from each stock at each timestep

Usage

calculate_timestep_transitions(
  referrals,
  incompletes,
  completes,
  max_months_waited
)

Arguments

referrals: data frame with two columns; period_id and referrals. This represents the count of referrals in each period
incompletes: data from with three columns; period_id, months_waited_id, and incompletes. This represents the count of incomplete pathways by the number of months waited for each period
completes: data from with three columns; period_id, months_waited_id, and treatments. This represents the count of completed pathways by the number of months waited for each period
max_months_waited: integer; the maximum number of months to group patients waiting times by for the analysis. Data are published up to 104 weeks, so 24 is likely to be the maximum useful value for this argument

Value

a tibble with fields for months_waited_id, period_id, node_inflow, waiting_same_node and treatments. These represent all the counts being moved on a single time step

Details

for each timestep, the stock is calculated as the current count of patients waiting at that timestep plus the inflow (via referrals or incomplete pathways from previous timestep) minus outflow (pathways have been completed or reneges, which are deduced from the other flows). This stock is divided into "months waited", and patients with incomplete pathways at the end of the timestep are incremented up to an additional month's waiting time

For each of the data frames supplied, the period_id and the months_waited_id fields should be numeric/integers. period_id is an integer representing the chronology of the data, and months_waited_id is a numeric representation of the months waited, where 0 represents 0 to 1 month, and 5 represents 5 to 6 months.