# Interventions Distribution

This report compares distributions of interventions (either concomitant medication or substance use) and demographic variables across treatment arms.

Note: Refer to Distribution Reports for a description of the general analysis performed by the JMP Clinical distribution reports.

## Report Results Description

Running this report for Nicardipine using default settings generates the report shown below.

Refer to the Adverse Events Distribution output description, which notes areas where Interventions Distribution differs from Adverse Events Distribution, keeping in mind the following important differences in contrast with the example:

| • | output (including section names) reflects concomitant medication or substance, rather than adverse event, incidence

| • | Group Level is allowed to equal Category (such as CMCAT or SUCAT, depending on the domain).

Note: The following notes: Multiple treatment periods have been detected and displayed. and Pre-treatment has been assigned to period=0. are inserted at the top of the report when these events are detected in your data.

## Report Options

### Domain

Use the Domain option to specify whether to plot the distribution of either concomitant medication (CM) or exposure (EX) interventions.

### Term and Group Levels

Term and Group Levels are chosen from available variables in the Intervention domain of interest. You must indicate how each intervention is named and the level at which the intervention is considered. For example, selecting Standardized Medication Name and Category for Medication as the Term Level and Group Level, respectively, reports the intervetion within the Medication Category as provided in the CM domain.

### Treatment or Comparison Variable:

The primary goal of clinical trials is to distinguish treatment effects when reporting and analyzing trial results. Treatments are defined by specific values in the treatment or comparison variables of the CDISC models. These variables are specified in this report using the Treatment or Comparison Variable to Use andTreatment or Comparison Variable options.

Distributions of the specified treatment or comparison variables are shown in the output.

Available variables include Planned, which is selected when the treatments patients received exactly match what was planned and Actual, which is selected when treatment deviates from what was planned.

You can also specify a variable other than the ARM or TRTxxP (planned treatment) or ACTARM or TRTxxA (actual treatment) from the CDISC models as a surrogate variable to serve as a comparator. Finally you can select None to plot the data without segregating it by a treatment variable.

See Treatment or Comparison Variable to Use, Treatment or Comparison Variable for more information.

### Interventions to Consider

By default, all interventions are included in the analysis. However, you can choose to consider only those that emerge at specific times before, during, or after the trial period. For example, selecting On treatment interventions as the Intervention Type includes only those interventions that occur on or after the first dose of study drug and at or before the last dose of drug (+ the offset for end of dosing).

If you choose to Ignore available treatment emergent flags, the analysis includes all interventions that occur on or after day 1 of the study.

When the end of treatment date is not known, check the Treatment end date is equivalent to the start date box to use the treatment start date to impute treatment end date, implying all treatment doses start and end the same day.

By default, the number of occurrences of an intervention is computed as the number of subjects experiencing that intervention, regardless of how many times each subject experienced the intervention. When a patient experiences multiple occurrences of an intervention, the software selects the occurrence for analysis based first on whether it is a serious intervention, then by severity and finally by time. When the Count multiple occurrences of an intervention per subject check box is checked (the default setting), the counts reported for each intervention represent the total of all the occurrences of that intervention.

Use the Include interventions with overall percent occurrence greater than option to specify a threshold for reporting interventions. Only interventions that occur above the entered threshold (in terms of overall percent of occurrence) are displayed in the reports. This value is set to 0 by default, so that all intervention occurrences are included.

The Calculate Relative Risks to compare incidence in treatment groups versus a control and Treatment Control Level options are used in conjunction to compute the relative risk of experiencing each intervention for those subjects receiving the experimental treatment compared to the specified control group.

### Filtering the Data:

Filters enable you to restrict the analysis to a specific subset of subjects and/or interventions, based on values within variables. You can also filter based on population flags (Safety is selected by default) within the study data.

If there is a supplemental domain (SUPPCM or SUPPEX) associated with your study, you can opt to merge the non-standard data contained therein into your data.

See Select the analysis population, Select saved subject filter 1 Subject-specific filters must be created using the Create Subject Filter report prior to your analysis. , Merge supplemental domain, Include the following interventions:, Filter to Include Interventions, and Additional Filter to Include Subjects 2 For more information about how to specify a filter using this option, see The SAS WHERE Expression. or more information.

### Results

You can opt to Sort interventions table by: either natural order or counts.

Use the Variables to include in Report Filter option to specify the variables to be included in the report data filter.

You can also subdivide the subjects and run analyses for distinct groups by specifying one or more By Variables.