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Job request: 23145

Organisation:
Nuffield Trust
Workspace:
end-of-life-carequality
ID:
3axpxkvdmvgwr252
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Sophie Julian 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: 10000

actions:   

  generate_study_population_os_reports:
    run: ehrql:v0 generate-dataset analysis/os_reports/dataset_definition_os_reports.py --output output/os_reports/input_os_reports.csv.gz
    outputs:
      highly_sensitive:
        cohort: output/os_reports/input_os_reports.csv.gz
           
  # os_report_csvs:
  #   run: r:latest analysis/os_reports/01_eol_service_Descriptives_csvs.R
  #   needs: [generate_study_population_os_reports]
  #   outputs:
  #     moderately_sensitive:
  #       monthly_deaths_Number: output/os_reports/eol_service/deaths_month*.csv
  #       monthly_gp_CSV: output/os_reports/eol_service/gp_month*.csv
  #       monthly_gp_Count: output/os_reports/eol_service/gp_count*.csv
  #       monthly_med_CSV: output/os_reports/eol_service/eol_med*.csv
  #       monthly_med_Count: output/os_reports/eol_service/eol_med_count*.csv
  #       monthly_aevis_CSV: output/os_reports/eol_service/aevis_month*.csv
  #       monthly_aevis_Count: output/os_reports/eol_service/aevis_count*.csv        
  #       monthly_op_CSV: output/os_reports/eol_service/opapp_month*.csv
  #       monthly_op_Count: output/os_reports/eol_service/opapp_count*.csv  
  #       monthly_eladm_CSV: output/os_reports/eol_service/eladm_month*.csv
  #       monthly_eladm_Count: output/os_reports/eol_service/eladm_count*.csv
  #       quarterly_eladm_Count: output/os_reports/eol_service/eladm_quarter*.csv  
  #       monthly_emadm_CSV: output/os_reports/eol_service/emadm_month*.csv
  #       monthly_emadm_Count: output/os_reports/eol_service/emadm_count*.csv
  #       monthly_nursing_CSV: output/os_reports/eol_service/nursing_month*.csv 
  #       montly_nursing_Count: output/os_reports/eol_service/nursing_count*.csv
  #       quarterly_nursing_Count: output/os_reports/eol_service/nursing_quarter*.csv

  # os_report_charts:
  #   run: r:latest analysis/os_reports/02_eol_service_Descriptive_outputs.R
  #   needs: [os_report_csvs]
  #   outputs:
  #     moderately_sensitive:
  #       monthly_deaths_cod: output/os_reports/eol_service/charts/deaths_cod*.png
  #       monthly_deaths_place: output/os_reports/eol_service/charts/deaths_place*.png
  #       monthly_gp_cod: output/os_reports/eol_service/charts/gp_cod*.png
  #       monthly_gp_place: output/os_reports/eol_service/charts/gp_place*.png
  #       monthly_med_cod: output/os_reports/eol_service/charts/eol_med_cod*.png
  #       monthly_med_place: output/os_reports/eol_service/charts/eol_med_place*.png
  #       monthly_aevis_cod: output/os_reports/eol_service/charts/aevis_cod*.png 
  #       monthly_aevis_place: output/os_reports/eol_service/charts/aevis_place*.png 
  #       monthly_op_cod: output/os_reports/eol_service/charts/opapp_cod*.png
  #       monthly_op_place: output/os_reports/eol_service/charts/opapp_place*.png
  #       monthly_eladm_cod: output/os_reports/eol_service/charts/eladm_cod*.png
  #       monthly_eladm_place: output/os_reports/eol_service/charts/eladm_place*.png      
  #       monthly_emadm_cod: output/os_reports/eol_service/charts/emadm_cod*.png
  #       monthly_emadm_place: output/os_reports/eol_service/charts/emadm_place*.png
  #       monthly_nursing_cod: output/os_reports/eol_service/charts/nursing_cod*.png 
  #       monthly_nursing_place: output/os_reports/eol_service/charts/nursing_place*.png
        
  # WP2_outputs:
  #   run: r:latest analysis/os_reports/03_eol_WP2_quality_indicators.R
  #   needs: [generate_study_population_os_reports]
  #   outputs:
  #     moderately_sensitive:
  #       proportion_palcare_code: output/os_reports/WP2_quality_indicators/palcare*.csv
  #       proportion_aeviv1: output/os_reports/WP2_quality_indicators/aevis1*.csv
  #       proportion_aevis3: output/os_reports/WP2_quality_indicators/aevis3*.csv
  #       proportion_eolmed: output/os_reports/WP2_quality_indicators/eolmed*.csv
  #       proportion_specpal_code: output/os_reports/WP2_quality_indicators/specpal*.csv
  #       proportion_cancer_palcare: output/os_reports/WP2_quality_indicators/cancer*.csv   

  # WP2_outputs_advance_care_plan:
  #   run: r:latest analysis/os_reports/05_eol_WP2_advance_care_plan_measures.R
  #   needs: [generate_study_population_os_reports]
  #   outputs:
  #     moderately_sensitive:
  #       acp_code: output/os_reports/WP2_quality_indicators/acp*.csv
  #       acp3m_code: output/os_reports/WP2_quality_indicators/acp3m*.csv
  #       acpdur_code: output/os_reports/WP2_quality_indicators/acpdur*.csv

  WP3_MAIHDA_outputs_AE_GP:
    run: r:latest analysis/os_reports/06_WP3_MAIHDA_A&E_GP.R
    needs: [generate_study_population_os_reports]
    outputs:
      moderately_sensitive:
        model_outputs_AEMAIHDA: output/os_reports/WP3/AE*.txt
        model_outputs_GPMAIHDA: output/os_reports/WP3/GP*.txt
        descriptive_GLMAE: output/os_reports/WP3/AE*.csv
        descriptive_GLMGP: output/os_reports/WP3/GP*.csv

# WP3_ethnicity_outputs:
#   run: r:latest analysis/os_reports/09_eol_Ethnicity_breakdown.R
#   needs: [generate_study_population_os_reports]
#   outputs:
#     moderately_sensitive:
#       descriptive_ethnicity: output/os_reports/WP3/ethnicity*.csv
      
  WP3_MAIHDA_outputs_OP:
    run: r:latest analysis/os_reports/08_eol_WP3_MAIHDA_opapp.R
    needs: [generate_study_population_os_reports]
    outputs:
      moderately_sensitive:
        model_outputs: output/os_reports/WP3/OP*.csv
        model_graph_outputs: output/os_reports/WP3/OP*.png
        model_breakdown_outputs: output/os_reports/WP3/OP*.txt

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:08:27

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

Job request

Status
Failed
Backend
TPP
Workspace
end-of-life-carequality
Requested by
Sophie Julian
Branch
main
Force run dependencies
No
Git commit hash
8d8c76d
Requested actions
  • generate_study_population_os_reports
  • WP3_MAIHDA_outputs_OP

Code comparison

Compare the code used in this job request