This macro creates the output tables for type 5 cohort. More...

Detailed Description

This macro creates the output tables for type 5 cohort.

Create dataset for each table.
- Add dose group sort var to any stratification that include dose groups.
Loop through groups.
- To prevent unnecessary looping, only loop if AgeGroup differs between groups.
- If all groups are running, grouplist is blank, otherwise only aggregate data for current group.
- Compute continuous statistics (because values are not squared when squaring is done).
  - Remove cfdd, afdd or cumdose from class statement to prevent additional aggregation on metric.
- t5_cida_disp_by_daysupp:
  - Square table.
  - Dispensing level data.
    - Summarize data.
  - Output to msoc.
- t5_cida_from_studystart:
  - Square table.
  - Episode-level data.
    - Summarize data.
  - Output to msoc.
- _t5levels_alleps:
  - Square table.
  - Episode-level data.
    - Summarize data.
  - Output to msoc.
- t5_cida_episdur:
  - Summarize data.
  - Output to msoc.
- t5_cida_gaps:
  - Summarize data.
  - Output to msoc.
- t5_cida_episdur_censor:
  - Summarize data.
  - Output to msoc.
- t5_cida_dose:
  - If the stratification is by cumdose_output_cat or cumdose and there are no stratification by episodenum, last episode is used.
  - Summarize data.
  - Output to msoc.
    - The output tables will be stratified by the levels provided in the USERSTRATA input file.

Program inputs

infolder.&COHORTFILE. (Dataset used to define enrollment and demographic requirements, type of cohort identification strategy.)
infolder.&USERSTRATA. (Dataset with ouput tables and stratifications specification.)
work._dispensings (Dataset containing the patient masterlist.)
work._ptsmasterlist (Dataset with potential indexdates or valid episodes.)

Program outputs

msoc.&RUNID._t5_cida_alleps (Dataset for Type 5 analysis including the number of patients, episodes, dispensings, and total days of supply by sex, race, hispanic, age group, and month of study start for all observed episodes during the query period.)
msoc.&RUNID._t5_cida_disp_by_daysupp (Dataset for Type 5 analysis including the number of patients and adjusted dispensings by days supply, sex, race, hispanic, age group, geographic stratifications, covariates, and current filled daily dose category.)
msoc.&RUNID._t5_cida_dose (Dataset for Type 5 analysis including the number of episodes by episode number, sex, race, hispanic, age group, geographic stratifications, covariates, and dose category.)
msoc.&RUNID._t5_cida_episdur_censor (Dataset for Type 5 analysis including the number of episodes by episode number, episode length and reason(s) for censoring.)
msoc.&RUNID._t5_cida_episdur (Dataset for Type 5 analysis including the number of episodes by episode number, episode length, sex, race, hispanic, and age group.)
msoc.&RUNID._t5_cida_firsteps (Dataset for Type 5 analysis including the number of patients, episodes, dispensings, and total days of supply by sex, race, hispanic, age group, and month of study start for the first patient episode (i.e., the index date defining episode) during the query period.)
msoc.&RUNID._t5_cida_gaps (Dataset for Type 5 analysis including the number of episode gaps by gap number, gap length, sex, race, hispanic, and age group.)

Usage

%ms_cidatablest5();

Author: Sentinel Coordinating Center (info@.nosp@m.sent.nosp@m.inels.nosp@m.yste.nosp@m.m.org)

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