comedication_count: Frequency tables for medication amount

In tame: Timing, Anatomical, Therapeutic and Chemical Based Medication Clustering

Frequency tables for medication amount

Description

The function comedication_count() calculates the number of unique medications for each individual and presents the count frequencies by cluster.

Usage

comedication_count(
  object,
  only = NULL,
  clusters = NULL,
  count_grouper = function(x) {
     cut(x, breaks = c(0, 1, 2, Inf), labels = c("1",
    "2", "3+"))
 },
  additional_data = NULL,
  ...
)

Arguments

object	An object for which a summary is desired.
only	<data-masking> Expressions that return a logical value, and are defined in terms of the variables in object and/or additional_data. The default NULL selects all clusterings in object.
clusters	<tidy-select> An unquoted expression naming the cluster or clusters in object one wants to see summaries of. Names can be used as if they were positions in the data frame, so expressions like I:IV can be used to select a range of clusters. The default NULL selects all clusters in the chosen clusterings of object.
count_grouper	A function for grouping counts. As a standard it groups counts as 1 medication, 2 medications, and 3+ medications.
additional_data	A data frame with additional data that may be (left-)joined onto the parameters in object. This is often used in conjuction with only to select specific clusterings based on additional_data.
...	Additional arguments passed to the specific summary sub-function.

Details

comedication_count() calculates the number of ATC codes an individual has, and then outputs the number of individuals within a cluster that has that many ATC codes. Moreover, various relevant percentages or calculated. See Value below for more details on these percentages.

Value

comedication_count() returns a data frame of class comedication_count

• Clustering the name of the clustering.

• Cluster the name of the cluster.

• ⁠Medication Count⁠ a number of medications. The numbers or groups are given by the count_grouper() function.

• ⁠Number of People⁠ the number of individuals in cluster who has ⁠Medication Count⁠ number of comedications in study.

• ⁠Number of medications⁠ the number of medications of individuals who has ⁠Medication Count⁠ number of comedications in the cluster.

• ⁠Percentage of All People⁠ the percentage of individuals is study who has ⁠Medication Count⁠ number of comedications in the cluster.

• ⁠Percentage of People in Cluster⁠ the percentage of individuals in the cluster who has ⁠Medication Count⁠ number of comedications.

• ⁠Percentage of All Medications⁠ the percentage of medication in study from individuals who has ⁠Medication Count⁠ number of comedications in cluster.

• ⁠Percentage of Medication in Cluster⁠ the percentage of medication in cluster from individuals who has ⁠Medication Count⁠ number of comedications.

• ⁠Percentage of People with the Same Medication Count⁠ percentage of individuals among those with ⁠Medication Count⁠ number of comedications in this cluster.

• ⁠Percentage of Medication with the Same Medication Count⁠ percentage of medication among medication of individuals with ⁠Medication Count⁠ number of comedications in this cluster.

Examples

clust <- medic(complications, id = id, atc = atc, k = 3:5)

comedication_count(clust, k == 5, clusters = I:III)

tame documentation built on April 12, 2025, 1:40 a.m.