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Job request: 13021

Organisation:
Bennett Institute
Workspace:
medication_reviews
ID:
ojbngqn3srlqxyq5
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Chris Wood 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: 3000

actions:

  generate_study_population:
    run: >
      cohortextractor:latest generate_cohort
        --study-definition study_definition
        --index-date-range "2019-04-01 to 2022-03-01 by month"
        --output-format='csv.gz'
    outputs:
      highly_sensitive:
        cohort: output/input_*.csv.gz

  generate_study_population_allmedrev:
    run: >
      cohortextractor:latest generate_cohort
        --study-definition study_definition_allmedrev
        --index-date-range "2020-01-01 to 2020-12-01 by month"
        --output-format='csv.gz'
    outputs:
      highly_sensitive:
        cohort: output/input_allmedrev_*.csv.gz

  generate_ethnicity_cohort:
    run: >
      cohortextractor:latest generate_cohort
        --study-definition study_definition_ethnicity
        --output-format='csv.gz'
    outputs:
      highly_sensitive:
        cohort: output/input_ethnicity.csv.gz

  join_cohorts:
    run: >
      cohort-joiner:v0.0.44
        --lhs output/input_20*.csv.gz
        --rhs output/input_ethnicity.csv.gz
        --output-dir output/joined
    needs: [generate_study_population, generate_ethnicity_cohort]
    outputs:
      highly_sensitive:
        cohort: output/joined/input_20*.csv.gz

  join_cohorts_allmedrev:
    run: >
      cohort-joiner:v0.0.44
        --lhs output/input_allmedrev*.csv.gz
        --rhs output/input_ethnicity.csv.gz
        --output-dir output/joined
    needs: [generate_study_population_allmedrev, generate_ethnicity_cohort]
    outputs:
      highly_sensitive:
        cohort: output/joined/input_allmedrev_*.csv.gz

## generate Structured Medication Review Measures and plots

  generate_measures_mr_smr:
     run: >
       cohortextractor:latest generate_measures 
       --study-definition study_definition
       --output-dir=output/joined
     needs: [join_cohorts]
     outputs:
       moderately_sensitive:
         mr_measure_csv: output/joined/measure_mr_*_rate.csv
         smr_measure_csv: output/joined/measure_smr_*_rate.csv

  generate_measures_all_reviews:
     run: >
       cohortextractor:latest generate_measures 
       --study-definition study_definition_allmedrev
       --output-dir=output/joined
     needs: [join_cohorts_allmedrev]
     outputs:
       moderately_sensitive:
         allmedrev_measure_csv: output/joined/measure_allmedrv_*_rate.csv

  generate_deciles_charts:
    run: >
      deciles-charts:v0.0.33
        --input-files output/joined/measure_*_practice_rate.csv
        --output-dir output/joined
    config:
      show_outer_percentiles: false
      tables:
        output: true
      charts:
        output: true
    needs: [generate_measures_mr_smr]
    outputs:
      moderately_sensitive:
        deciles_charts: output/joined/deciles_*_*.*

  redact_and_round:
    run: python:latest python analysis/redact_and_round.py
    needs: [generate_measures_mr_smr, generate_codeuse_output, generate_allmedrev_codeuse_output]
    outputs:
      moderately_sensitive:
        cohort: output/redacted/redacted_measure_*.csv
        cohort_codeuse: output/redacted/redacted_totalcodeuse*.csv

  generate_plots:
    run: python:latest python analysis/plots.py
    needs: [generate_measures_mr_smr, redact_and_round]
    outputs:
      moderately_sensitive:
        cohort: output/figures/*_*_rate.jpeg    

  generate_table_1:
    run: python:latest python analysis/table_1.py --study_def_paths="output/joined/input_20*.csv.gz" --demographics="age_band,sex,region,imdQ5,ethnicity,learning_disability,care_home_type" --outcome "had_smr"
    needs: [join_cohorts]
    outputs:
      moderately_sensitive:
        counts: output/table_1.csv
        had_outcome: output/table_1_had_outcome.csv

  generate_codeuse_output:
    run: python:latest python analysis/code_use_summary.py --study_def_paths="output/joined/input_20*.csv.gz" --codelistfile="user-chriswood-medication-review.csv" --outputfile="codeuse"
    needs: [join_cohorts]
    outputs:
      moderately_sensitive:
        code_counts: output/codeuse.csv
        total_code_counts: output/totalcodeuse.csv

  generate_allmedrev_codeuse_output:
    run: python:latest python analysis/code_use_summary.py --study_def_paths="output/joined/input_allmedrev_*.csv.gz" --codelistfile="user-chriswood-all-medication-reviews.csv" --outputfile="codeuse_allmedrev" --totalstart="01/01/2020" --totalend="01/12/2020"
    needs: [join_cohorts_allmedrev]
    outputs:
      moderately_sensitive:
        code_counts: output/codeuse_allmedrev.csv
        total_code_counts: output/totalcodeuse_allmedrev.csv

  run_tests:
    run: python:latest python -m pytest --junit-xml=output/pytest.xml --verbose
    outputs:
      moderately_sensitive:
        log: output/pytest.xml

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:00:18

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

Job request

Status
Succeeded
Backend
TPP
Workspace
medication_reviews
Requested by
Chris Wood
Branch
main
Force run dependencies
No
Git commit hash
105df44
Requested actions
  • redact_and_round

Code comparison

Compare the code used in this job request