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Job request: 23337

Organisation:
Nuffield Trust
Workspace:
end-of-life-carequality
ID:
5imgi6lbnpz73p3z
View repo View project.yaml

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

By cross-referencing the list of jobs with the pipeline section below, you can infer what security level various outputs were written to. Researchers can never directly view outputs marked as highly_sensitive ; they can only request that code runs against them. Outputs marked as moderately_sensitive can be viewed by an approved researcher by logging into a highly secure environment. Only outputs marked as moderately_sensitive can be requested for release to the public, 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_Binomial_MAIHDA_A&E_GP.R
    needs: [generate_study_population_os_reports]
    outputs:
      moderately_sensitive:
        model_outputs_AEMAIHDA: output/os_reports/WP3/AE*.txt
        descriptive_GLMAE: output/os_reports/WP3/AE*.csv

#     descriptive_GLMGP: output/os_reports/WP3/GP*.csv
#     model_outputs_GPMAIHDA: output/os_reports/WP3/GP*.txt

# 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_GP:
    run: r:latest analysis/os_reports/07_eol_WP3_MAIHDA_GP.R
    needs: [generate_study_population_os_reports]
    outputs:
      moderately_sensitive:
        model_outputs: output/os_reports/WP3/GP*.csv
        model_graph_outputs: output/os_reports/WP3/GP*.png
        model_breakdown_outputs: output/os_reports/WP3/GP*.txt 

  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: 00:14:28

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

Job information

Status
Failed
Backend
TPP
Workspace
end-of-life-carequality
Requested by
Miranda Davies
Branch
main
Force run dependencies
No
Git commit hash
a9354ea
Requested actions
  • generate_study_population_os_reports
  • WP3_MAIHDA_outputs_AE_GP
  • WP3_MAIHDA_outputs_GP

Code comparison

Compare the code used in this Job Request