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Job request: 18484

Organisation:
University of Manchester
Workspace:
main_pregnancy_tx_pathways
ID:
l6i5a2mssa5bbxg5
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Dexter Hayes requested one or more actions to be run against real patient data within a secure environment.

By cross-referencing the list of jobs with the pipeline section below, you can infer what security level the outputs were written to.

The output security levels are:

  • highly_sensitive
    • Researchers can never directly view these outputs
    • Researchers can only request code is run against them
  • moderately_sensitive
    • Can be viewed by an approved researcher by logging into a highly secure environment
    • These are the only outputs that can be requested for public release via a controlled output review service.

Jobs

Pipeline

Show project.yaml 
version: '3.0'

expectations:
  population_size: 1000

actions:

  # this is for number of matches
  generate_study_population:
    run: cohortextractor:latest generate_cohort --study-definition study_definition 
    outputs:
      highly_sensitive:
        cohort: output/input.csv

  # this is to generate a date file for each month
  # generate_study_population_monthly:
  #   run: cohortextractor:latest generate_cohort 
  #     --study-definition study_definition_monthly 
  #     --index-date-range "2019-01-01 to today by month"
  #     --output-dir=output 
  #     --output-format=csv.gz 
  #   outputs:
  #     highly_sensitive:
  #       cohort: output/input_*.csv.gz

  generate_study_population_measures:
    run: cohortextractor:latest generate_cohort 
      --study-definition study_definition_measures 
      --index-date-range "2019-01-01 to today by month" --skip-existing 
      --output-dir=output/measures 
      --output-format=csv.gz 
      --param num_days=84 
    outputs:
      highly_sensitive:
        cohort: output/measures/input_*.csv.gz

## num_days added to study def measures, converted to integer,
## and added to pn_8wk_present variable in study defs

  generate_12wk_cohort:
    run: cohortextractor:latest generate_cohort 
      --study-definition study_definition_measures
      --index-date-range "2019-01-01 to today by month" --skip-existing 
      --output-format csv.gz
      --param num_days=84
      --output-dir=output/pn12wk
    outputs:
      highly_sensitive:
        cohort: output/pn12wk/input_*.csv.gz
  
  generate_8wk_cohort:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition_measures 
      --index-date-range "2019-01-01 to today by month" --skip-existing 
      --output-format csv.gz
      --param num_days=56
      --output-dir=output/pn8wk
    outputs:
      highly_sensitive:
        cohort: output/pn8wk/input_*.csv.gz

  generate_6wk_cohort:
    run: cohortextractor:latest generate_cohort 
      --study-definition study_definition_measures
      --index-date-range "2019-01-01 to today by month" --skip-existing 
      --output-format csv.gz
      --param num_days=42
      --output-dir=output/pn6wk
    outputs:
      highly_sensitive:
        cohort: output/pn6wk/input_*.csv.gz

  ## generate measures for each param (above)
  generate_measures:
    run: cohortextractor:latest generate_measures --study-definition study_definition_measures --skip-existing --output-dir=output/measures --param num_days=84
    needs: [generate_study_population_measures]
    outputs:
      moderately_sensitive:
        measure_csv: output/measures/measure_*.csv

  generate_measures_12wk:
    run: cohortextractor:latest generate_measures 
      --study-definition study_definition_measures 
      --skip-existing 
      --output-dir=output/pn12wk
      --param num_days=84
    needs: [generate_12wk_cohort]
    outputs:
      moderately_sensitive:
        measure_csv: output/pn12wk/measure_*.csv

  generate_measures_8wk:
    run: cohortextractor:latest generate_measures 
      --study-definition study_definition_measures 
      --skip-existing 
      --output-dir=output/pn8wk
      --param num_days=56
    needs: [generate_8wk_cohort]
    outputs:
      moderately_sensitive:
        measure_csv: output/pn8wk/measure*.csv

  generate_measures_6wk:
    run: cohortextractor:latest generate_measures 
      --study-definition study_definition_measures 
      --skip-existing 
      --output-dir=output/pn6wk
      --param num_days=42
    needs: [generate_6wk_cohort]
    outputs:
      moderately_sensitive:
        measure_csv: output/pn6wk/measure_*.csv

  ## code frequencies
  describe_del_code_freq:
    run: r:latest analysis/del_code_frequency.R
    needs: [generate_study_population]
    outputs:
      moderately_sensitive:
        hist1: output/del_code_histogram.jpeg
        table1: output/table_del_codes.csv

  describe_del_code_freq_with_names:
    run: r:latest analysis/del_code_frequency_with_names.R
    needs: [generate_study_population, describe_del_code_freq]
    outputs:
      moderately_sensitive:
        table1: output/table_del_codes_with_names.csv

  describe_del_code_freq_with_names_reduced:
    run: r:latest analysis/del_code_frequency_with_names_reduced.R
    needs: [generate_study_population, describe_del_code_freq_with_names]
    outputs:
     moderately_sensitive:
        table1: output/table_del_codes_with_names_reduced.csv
        
  describe_pn_code_freq:
    run: r:latest analysis/pn_code_frequency.R
    needs: [generate_study_population]
    outputs:
      moderately_sensitive:
        table1: output/table_pn_codes.csv

  describe_pn_code_freq_with_names:
    run: r:latest analysis/pn_code_frequency_with_names.R
    needs: [generate_study_population, describe_pn_code_freq]
    outputs:
      moderately_sensitive:
        table1: output/table_pn_codes_with_names.csv   

  describe_pn_code_freq_with_names_reduced:
    run: r:latest analysis/pn_code_frequency_with_names_reduced.R
    needs: [generate_study_population, describe_pn_code_freq_with_names]
    outputs:
     moderately_sensitive:
        table1: output/table_pn_codes_with_names_reduced.csv   

  ## rate plots 
  describe_pn_rate_plots:
    run: r:latest analysis/pn_check_using_measures_overall.R
    needs: [generate_study_population_measures, generate_measures]
    outputs:
      moderately_sensitive:
        plot1: output/monthly_pn_rate_measures_overall.jpeg
  
  ## rate plots by category
  describe_pn_rate_plots_by_age_cat:
    run: r:latest analysis/pn_check_using_measures_by_age_cat_8wk.R
    needs: [generate_8wk_cohort, generate_measures_8wk]
    outputs:
      moderately_sensitive:
        plot2: output/monthly_pn_rate_measures8wkcode_by_age_cat_8wk.jpeg

  describe_pn_rate_plots_by_ethnicity:
    run: r:latest analysis/pn_check_using_measures_by_ethnicity_8wk.R
    needs: [generate_8wk_cohort, generate_measures_8wk]
    outputs:
      moderately_sensitive:
        plot3: output/monthly_pn_rate_measures8wkcode_by_ethnicity_8wk.jpeg

  describe_pn_rate_plots_by_imd:
    run: r:latest analysis/pn_check_using_measures_by_imd_8wk.R
    needs: [generate_8wk_cohort, generate_measures_8wk]
    outputs:
      moderately_sensitive:
        plot4: output/monthly_pn_rate_measures8wkcode_by_imd_8wk.jpeg
 
  # describe_pn_rate_plots_by_practice:
  #   run: r:latest analysis/pn_check_using_measures_by_practice.R
  #   needs: [generate_study_population_measures, generate_measures]
  #   outputs:
  #     moderately_sensitive:
  #       plot5: output/monthly_pn_rate_measures8wkcode_by_practice.jpeg
  
  describe_pn_rate_plots_by_practice_8wk:
    run: r:latest analysis/pn_check_using_measures_by_practice_8wk.R
    needs: [generate_8wk_cohort, generate_measures_8wk]
    outputs:
      moderately_sensitive:
        plot5: output/monthly_pn_rate_measures8wkcode_by_practice_8wk.jpeg
  
  describe_pn_rate_plots_by_practice_12wk:
    run: r:latest analysis/pn_check_using_measures_by_practice_12wk.R
    needs: [generate_12wk_cohort, generate_measures_12wk]
    outputs:
      moderately_sensitive:
        plot5: output/monthly_pn_rate_measures8wkcode_by_practice_12wk.jpeg
  
  describe_pn_rate_plots_by_practice_6wk:
    run: r:latest analysis/pn_check_using_measures_by_practice_6wk.R
    needs: [generate_6wk_cohort, generate_measures_6wk]
    outputs:
      moderately_sensitive:
        plot5: output/monthly_pn_rate_measures8wkcode_by_practice_6wk.jpeg

  describe_pn_rate_plots_by_region:
    run: r:latest analysis/pn_check_using_measures_by_region_8wk.R
    needs: [generate_8wk_cohort, generate_measures_8wk]
    outputs:
      moderately_sensitive:
        plot6: output/monthly_pn_rate_measures8wkcode_by_region_8wk.jpeg

### Generating baseline tables ### 
#################################
  # describe_baseline_table:
  #   run: r:latest analysis/baseline_table.R
  #   needs: [generate_study_population_measures, generate_measures]
  #   outputs:
  #     moderately_sensitive:
  #       table_overall: output/blt_overall.csv   
  #       table_before: output/blt_before.csv 
  #       table_after: output/blt_after.csv 
  #       table_overall_counts: output/overall_counts.csv
  #       table_counts_before: output/overall_counts_before.csv
  #       table_counts_after: output/overall_counts_after.csv 

  # describe_baseline_table_12wk_cohort:
  #   run: r:latest analysis/baseline_table_12wk.R
  #   needs: [generate_12wk_cohort]
  #   outputs:
  #     moderately_sensitive:
  #       table_overall: output/blt_overall_12wk.csv   
  #       table_before: output/blt_before_12wk.csv 
  #       table_after: output/blt_after_12wk.csv 
  #       table_overall_counts: output/overall_counts_12wk.csv
  #       table_counts_before: output/overall_counts_before_12wk.csv
  #       table_counts_after: output/overall_counts_after_12wk.csv 

  # describe_baseline_table_8wk_cohort:
  #   run: r:latest analysis/baseline_table_8wk.R
  #   needs: [generate_8wk_cohort]
  #   outputs:
  #     moderately_sensitive:
  #       table_overall: output/blt_overall_8wk.csv   
  #       table_before: output/blt_before_8wk.csv 
  #       table_after: output/blt_after_8wk.csv 
  #       table_overall_counts: output/overall_counts_8wk.csv
  #       table_counts_before: output/overall_counts_before_8wk.csv
  #       table_counts_after: output/overall_counts_after_8wk.csv 

  # describe_baseline_table_6wk_cohort:
  #   run: r:latest analysis/baseline_table_6wk.R
  #   needs: [generate_6wk_cohort]
  #   outputs:
  #     moderately_sensitive:
  #       table_overall: output/blt_overall_6wk.csv   
  #       table_before: output/blt_before_6wk.csv 
  #       table_after: output/blt_after_6wk.csv 
  #       table_overall_counts: output/overall_counts_6wk.csv
  #       table_counts_before: output/overall_counts_before_6wk.csv
  #       table_counts_after: output/overall_counts_after_6wk.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:01:56

These timestamps are generated and stored using the UTC timezone on the TPP backend.

Job request

Status
Succeeded
Backend
TPP
Workspace
main_pregnancy_tx_pathways
Requested by
Dexter Hayes
Branch
main
Force run dependencies
No
Git commit hash
f60ba4e
Requested actions
  • describe_pn_rate_plots_by_age_cat
  • describe_pn_rate_plots_by_ethnicity
  • describe_pn_rate_plots_by_imd
  • describe_pn_rate_plots_by_region

Code comparison

Compare the code used in this job request