generated from opensafely/research-template
/
project.yaml
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/
project.yaml
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version: '3.0'
expectations:
population_size: 1000
actions:
# general population
generate_study_population:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2019-01-01 to today by month" --skip-existing --output-dir=output/measures --output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/measures/input_*.csv.gz
generate_measures:
run: cohortextractor:latest generate_measures --study-definition study_definition --skip-existing --output-dir=output/measures
needs: [generate_study_population]
outputs:
moderately_sensitive:
measure_csv: output/measures/measure_*.csv
# # AB prescribing rate
describe_percentile:
run: r:latest analysis/plot/overall_ab_prescribing_2575percentile.R
needs: [generate_measures]
outputs:
moderately_sensitive:
percentile: output/overall_25th_75th_percentile.jpeg
table_total: output/total_number_antibacterial_prescriptions.csv
describe_percentile_starpu:
run: r:latest analysis/plot/starpu_ab_percentile.R
needs: [generate_measures]
outputs:
moderately_sensitive:
percentile_STARPU: output/overall_25th_75th_percentile_STARPU.jpeg
percentile_csv_STARPU: output/monthly_quantile_ab_STARPU.csv
# merge monthly datasets and split by years
describe_basic_record_process:
run: r:latest analysis/process/baseline_variables_transform.R
needs: [generate_study_population]
outputs:
highly_sensitive:
rds1: output/measures/basic_record_2019.rds
rds2: output/measures/basic_record_2020.rds
rds3: output/measures/basic_record_2021.rds
rds4: output/measures/basic_record_2022.rds
# baseline table
describe_baseline_table_split_2019:
run: r:latest analysis/tables/baseline_table_2019.R
needs: [describe_basic_record_process]
outputs:
moderately_sensitive:
baseline_overall_2019: output/overall_counts_blt_2019.csv
baseline_table_2019: output/blt_one_random_obs_perpat_2019.csv
highly_sensitive:
cohort: output/measures/id_2019.csv
describe_baseline_table_split_2020:
run: r:latest analysis/tables/baseline_table_2020.R
needs: [describe_basic_record_process]
outputs:
moderately_sensitive:
baseline_overall_2020: output/overall_counts_blt_2020.csv
baseline_table_2020: output/blt_one_random_obs_perpat_2020.csv
highly_sensitive:
cohort: output/measures/id_2020.csv
describe_baseline_table_split_2021:
run: r:latest analysis/tables/baseline_table_2021.R
needs: [describe_basic_record_process]
outputs:
moderately_sensitive:
baseline_overall_2021: output/overall_counts_blt_2021.csv
baseline_table_2021: output/blt_one_random_obs_perpat_2021.csv
highly_sensitive:
cohort: output/measures/id_2021.csv
describe_baseline_table_split_2022:
run: r:latest analysis/tables/baseline_table_2022.R
needs: [describe_basic_record_process]
outputs:
moderately_sensitive:
baseline_overall_2022: output/overall_counts_blt_2022.csv
baseline_table_2022: output/blt_one_random_obs_perpat_2022.csv
highly_sensitive:
cohort: output/measures/id_2022.csv
# additional: baseline table - covid infetion patients
generate_study_population_covidnum_2020:
run: cohortextractor:latest generate_cohort
--with-end-date-fix
--study-definition study_definition_covidnum_2020
--output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/input_covidnum_2020.csv.gz
generate_study_population_covidnum_2021:
run: cohortextractor:latest generate_cohort
--with-end-date-fix
--study-definition study_definition_covidnum_2021
--output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/input_covidnum_2021.csv.gz
generate_study_population_covidnum_2022:
run: cohortextractor:latest generate_cohort
--with-end-date-fix
--study-definition study_definition_covidnum_2022
--output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/input_covidnum_2022.csv.gz
describe_covid_count:
run: r:latest analysis/tables/covidcount.R
needs: [generate_study_population_covidnum_2020,generate_study_population_covidnum_2021,generate_study_population_covidnum_2022]
outputs:
moderately_sensitive:
table1: output/covid_count.csv
describe_covid_count_patone:
run: r:latest analysis/tables/covidcount_patone.R
needs: [generate_study_population_samedayab]
outputs:
moderately_sensitive:
table1: output/covid_count_patone.csv
# additional: baseline table - covid vaccination %
extract_covrx_2019:
run: cohortextractor:latest generate_cohort --study-definition study_definition_covrx_2019
needs: [describe_baseline_table_split_2019]
outputs:
highly_sensitive:
cohort: output/measures/input_covrx_2019.csv
describe_covrx_2019:
run: r:latest analysis/tables/covrx_2019.R
needs: [extract_covrx_2019]
outputs:
moderately_sensitive:
number: output/covrx_2019.txt
extract_covrx_2020:
run: cohortextractor:latest generate_cohort --study-definition study_definition_covrx_2020
needs: [describe_baseline_table_split_2020]
outputs:
highly_sensitive:
cohort: output/measures/input_covrx_2020.csv
describe_covrx_2020:
run: r:latest analysis/tables/covrx_2020.R
needs: [extract_covrx_2020]
outputs:
moderately_sensitive:
number: output/covrx_2020.txt
extract_covrx_2021:
run: cohortextractor:latest generate_cohort --study-definition study_definition_covrx_2021
needs: [describe_baseline_table_split_2021]
outputs:
highly_sensitive:
cohort: output/measures/input_covrx_2021.csv
describe_covrx_2021:
run: r:latest analysis/tables/covrx_2021.R
needs: [extract_covrx_2021]
outputs:
moderately_sensitive:
number: output/covrx_2021.txt
extract_covrx_2022:
run: cohortextractor:latest generate_cohort --study-definition study_definition_covrx_2022
needs: [describe_baseline_table_split_2022]
outputs:
highly_sensitive:
cohort: output/measures/input_covrx_2022.csv
describe_covrx_2022:
run: r:latest analysis/tables/covrx_2022.R
needs: [extract_covrx_2022]
outputs:
moderately_sensitive:
number: output/covrx_2022.txt
# 12 extractions for antibiotics /per month
generate_study_population_ab: # Antibiotics_recorded_01
run: cohortextractor:latest generate_cohort --with-end-date-fix --study-definition study_definition_ab --index-date-range "2019-01-01 to today" --skip-existing --output-dir=output/measures --output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/measures/input_ab_*.csv.gz
describe_ab_recoded_indication_process: # Antibiotics_recorded_02: generate prescription-level dataset
run: r:latest analysis/process/ab_recorded_indication_transform.R
needs: [generate_study_population_ab]
outputs:
highly_sensitive:
rds1: output/measures/recorded_ab_2019.rds
rds2: output/measures/recorded_ab_2020.rds
rds3: output/measures/recorded_ab_2021.rds
rds4: output/measures/recorded_ab_2022.rds
describe_ab_recoded_indication_plot_incident: # Antibiotics_recorded_03
run: r:latest analysis/plot/ab_recorded_indication_plot_incident.R
needs: [describe_ab_recoded_indication_process] # transfrom & define all variables
outputs:
moderately_sensitive:
plot1: output/ab_recorded_incident_bar.jpeg
plot2: output/ab_recorded_incident_line.jpeg
plot3: output/ab_recorded_incident_bar_2.jpeg
csv: output/ab_recorded_incident.csv
describe_ab_recoded_indication_plot_prevalent: # Antibiotics_recorded_03
run: r:latest analysis/plot/ab_recorded_indication_plot_prevalent.R
needs: [describe_ab_recoded_indication_process]
outputs:
moderately_sensitive:
plot1: output/ab_recorded_prevalent_bar.jpeg
plot2: output/ab_recorded_prevalent_line.jpeg
plot3: output/ab_recorded_prevalent_bar_2.jpeg
csv: output/ab_recorded_prevalent.csv
ab_recoded_indication_ITS2_plot: # overall, incident, prevalent
run: r:latest -e 'rmarkdown::render("analysis/model/ab_recoded_indication_ITS2_plot.rmd", output_dir = "output/report")'
needs: [describe_ab_recoded_indication_plot_prevalent,describe_ab_recoded_indication_plot_incident]
outputs:
moderately_sensitive:
html: output/report/ab_recoded_indication_ITS2_plot.html
# 4 extractions for infection consultations /per month (with same-day AB prescribing)
generate_study_population_infection_abtype: # for ab types plot
run: cohortextractor:latest generate_cohort --with-end-date-fix --study-definition study_definition_infection_abtype --index-date-range "2019-01-01 to today by month" --skip-existing --output-dir=output/measures --output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/measures/input_infection_abtype_*.csv.gz
describe_infection_abtype_process: # infection/row
run: r:latest analysis/process/infection_abtype_transform.R
needs: [generate_study_population_infection_abtype]
outputs:
highly_sensitive:
rds1: output/measures/abtype_uti.rds
rds2: output/measures/abtype_lrti.rds
rds3: output/measures/abtype_urti.rds
rds4: output/measures/abtype_sinusitis.rds
rds5: output/measures/abtype_ot_externa.rds
rds6: output/measures/abtype_otmedia.rds
describe_infection_noAB_plot: # percentage
run: r:latest analysis/redaction/infection_v2_noAB.R
needs: [describe_infection_abtype_process]
outputs:
moderately_sensitive:
plot1: output/redacted_v2/noAB_uti.jpeg
plot2: output/redacted_v2/noAB_lrti.jpeg
plot3: output/redacted_v2/noAB_urti.jpeg
plot4: output/redacted_v2/noAB_sinusitis.jpeg
plot5: output/redacted_v2/noAB_ot_externa.jpeg
plot6: output/redacted_v2/noAB_otmedia.jpeg
csv1: output/redacted_v2/noAB_uti_check.csv
csv2: output/redacted_v2/noAB_lrti_check.csv
csv3: output/redacted_v2/noAB_urti_check.csv
csv4: output/redacted_v2/noAB_sinusitis_check.csv
csv5: output/redacted_v2/noAB_ot_externa_check.csv
csv6: output/redacted_v2/noAB_otmedia_check.csv
csv7: output/redacted_v2/noAB.csv
describe_infection_AB_plot: # percentage of ab in same day of infection
run: r:latest analysis/redaction/infection_v2_ab_sameday.R
needs: [describe_infection_abtype_process]
outputs:
moderately_sensitive:
plot1: output/redacted_v2/incident_sameday.jpeg
plot2: output/redacted_v2/prevalent_sameday.jpeg
csv1: output/redacted_v2/sameday_AB_check.csv
infection_ab_ITS2_plot:
run: r:latest -e 'rmarkdown::render("analysis/model/infection_ab_ITS2_plot.rmd", output_dir = "output/report")'
needs: [describe_infection_noAB_plot]
outputs:
moderately_sensitive:
html: output/report/infection_ab_ITS2_plot.html
describe_infection_AB_plot_top5: # percentage
run: r:latest analysis/redaction/infection_v2_AB_top5.R
needs: [describe_infection_abtype_process]
outputs:
moderately_sensitive:
csv1: output/redacted_v2/AB_uti_check_top5.csv
csv2: output/redacted_v2/AB_lrti_check_top5.csv
csv3: output/redacted_v2/AB_urti_check_top5.csv
csv4: output/redacted_v2/AB_sinusitis_check_top5.csv
csv5: output/redacted_v2/AB_ot_externa_check_top5.csv
csv6: output/redacted_v2/AB_otmedia_check_top5.csv
csv7: output/redacted_v2/AB_top5.csv
plot1: output/redacted_v2/prevalent_AB_top5.jpeg # combined 6 infections
plot2: output/redacted_v2/incident_AB_top5.jpeg
describe_top5_ab:
run: r:latest -e 'rmarkdown::render("analysis/redaction/top5_ab.rmd", output_dir = "output/redacted_v2")'
needs: [describe_infection_AB_plot_top5]
outputs:
moderately_sensitive:
html: output/redacted_v2/top5_ab.html
# 4 extractions for infection consultations /per month (with 14-day AB prescribing)
generate_study_population_infection_abtype_wk_2019: # for ab types plot
run: cohortextractor:latest generate_cohort --with-end-date-fix --study-definition study_definition_infection_abtype_wk_2019 --index-date-range "2019-01-01 to 2019-12-01 by month" --skip-existing --output-dir=output/measures --output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/measures/input_infection_abtype_wk_2019_*.csv.gz
generate_study_population_infection_abtype_wk_2020:
run: cohortextractor:latest generate_cohort --with-end-date-fix --study-definition study_definition_infection_abtype_wk_2020 --index-date-range "2020-01-01 to 2020-12-01 by month" --skip-existing --output-dir=output/measures --output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/measures/input_infection_abtype_wk_2020_*.csv.gz
generate_study_population_infection_abtype_wk_2021:
run: cohortextractor:latest generate_cohort --with-end-date-fix --study-definition study_definition_infection_abtype_wk_2021 --index-date-range "2021-01-01 to 2021-12-01 by month" --skip-existing --output-dir=output/measures --output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/measures/input_infection_abtype_wk_2021_*.csv.gz
generate_study_population_infection_abtype_wk_2022:
run: cohortextractor:latest generate_cohort --with-end-date-fix --study-definition study_definition_infection_abtype_wk_2022 --index-date-range "2022-01-01 to 2022-07-01 by month" --skip-existing --output-dir=output/measures --output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/measures/input_infection_abtype_wk_2022_*.csv.gz
# same-day COVID-19 diagnosis with an antibiotic prescription (+/- 2 days)
generate_study_population_samedayab:
run: cohortextractor:latest generate_cohort --with-end-date-fix --study-definition study_definition_sameday_ab --index-date-range "2019-01-01 to 2022-06-01" --skip-existing --output-dir=output/measures --output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/measures/input_sameday_ab_*.csv.gz
generate_measures_samedayab:
run: cohortextractor:latest generate_measures --study-definition study_definition_sameday_ab --skip-existing --output-dir=output/measures
needs: [generate_study_population_samedayab]
outputs:
moderately_sensitive:
measure_csv: output/measures/measure_samedayab_*.csv
describe_same_day_ab:
run: r:latest analysis/plot/same_day_covid_ab.R
needs: [generate_measures_samedayab]
outputs:
moderately_sensitive:
plot1: output/same_day_ab_prop_line_sgss.jpeg
plot2: output/same_day_ab_prop_line_gp.jpeg