Datasets:
Tasks:
Tabular Classification
Formats:
csv
Languages:
English
Size:
10K - 100K
Tags:
substandard-falsified-medicines
pharmacovigilance
adverse-drug-reactions
drug-safety
VigiFlow
Synthetic
License:
record_id string | scenario string | year int64 | setting string | age int64 | sex string | is_child int64 | drug_class string | polypharmacy int64 | num_medicines int64 | adr_occurred int64 | adr_type string | adr_severity string | serious_adr int64 | hospitalisation_due_adr int64 | death_due_adr int64 | causality string | medication_error int64 | error_type string | adr_reported int64 | reported_to_nmra int64 | vigiflow_submitted int64 | report_complete int64 | time_to_report_days int64 | reporter_type string | pv_focal_person int64 | adr_form_available int64 | pv_training_received int64 | knows_reporting_process int64 | signal_detected int64 | regulatory_action int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
TER-00000 | tertiary_hospital_pv | 2,022 | regional_hospital | 43 | female | 0 | other | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00001 | tertiary_hospital_pv | 2,014 | regional_hospital | 12 | female | 1 | antiepileptic | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 1 | 0 | 1 | 0 | 0 |
TER-00002 | tertiary_hospital_pv | 2,012 | regional_hospital | 68 | female | 0 | antibiotic | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00003 | tertiary_hospital_pv | 2,021 | tertiary_hospital | 18 | female | 0 | antibiotic | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 1 | wrong_frequency | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00004 | tertiary_hospital_pv | 2,019 | tertiary_hospital | 56 | female | 0 | NSAID_analgesic | 0 | 2 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 1 | 0 | 0 | 0 | 0 | 0 |
TER-00005 | tertiary_hospital_pv | 2,023 | tertiary_hospital | 13 | male | 1 | antibiotic | 0 | 2 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 1 | 1 | 1 | 0 | 0 | 0 |
TER-00006 | tertiary_hospital_pv | 2,017 | tertiary_hospital | 30 | male | 0 | antihypertensive | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 1 | 1 | 0 | 0 | 0 | 0 |
TER-00007 | tertiary_hospital_pv | 2,021 | tertiary_hospital | 53 | female | 0 | antihypertensive | 0 | 1 | 1 | other | mild | 0 | 0 | 0 | probable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 1 | 0 | 0 | 0 | 0 | 0 |
TER-00008 | tertiary_hospital_pv | 2,017 | regional_hospital | 58 | female | 0 | antiretroviral | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 1 | 1 | 0 | 0 | 0 | 0 |
TER-00009 | tertiary_hospital_pv | 2,024 | regional_hospital | 5 | female | 1 | antiretroviral | 0 | 2 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00010 | tertiary_hospital_pv | 2,015 | regional_hospital | 18 | male | 0 | anti_TB | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 1 | 0 | 0 | 0 | 0 |
TER-00011 | tertiary_hospital_pv | 2,022 | tertiary_hospital | 21 | male | 0 | antiretroviral | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 1 | 0 | 0 | 0 | 0 |
TER-00012 | tertiary_hospital_pv | 2,024 | tertiary_hospital | 21 | male | 0 | other | 0 | 3 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 1 | 0 | 0 | 0 |
TER-00013 | tertiary_hospital_pv | 2,014 | specialist_clinic | 5 | male | 1 | chemotherapy | 1 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00014 | tertiary_hospital_pv | 2,012 | tertiary_hospital | 55 | male | 0 | antihypertensive | 1 | 3 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 1 | 1 | 0 | 0 | 0 |
TER-00015 | tertiary_hospital_pv | 2,016 | tertiary_hospital | 48 | female | 0 | other | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 1 | 1 | 0 | 0 | 0 | 0 |
TER-00016 | tertiary_hospital_pv | 2,019 | specialist_clinic | 24 | female | 0 | antiretroviral | 1 | 3 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00017 | tertiary_hospital_pv | 2,020 | teaching_hospital | 3 | male | 1 | antibiotic | 0 | 1 | 1 | nephrotoxicity | mild | 0 | 0 | 0 | not_assessed | 0 | none | 1 | 0 | 0 | 1 | 35 | physician | 1 | 1 | 1 | 0 | 0 | 0 |
TER-00018 | tertiary_hospital_pv | 2,019 | regional_hospital | 32 | male | 0 | NSAID_analgesic | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 1 | 0 | 0 |
TER-00019 | tertiary_hospital_pv | 2,016 | regional_hospital | 9 | female | 1 | antiretroviral | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00020 | tertiary_hospital_pv | 2,022 | tertiary_hospital | 25 | female | 0 | antimalarial | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 1 | 0 | 0 | 0 | 0 |
TER-00021 | tertiary_hospital_pv | 2,015 | tertiary_hospital | 11 | male | 1 | antidiabetic | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00022 | tertiary_hospital_pv | 2,015 | teaching_hospital | 8 | female | 1 | chemotherapy | 1 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 1 | 0 | 0 | 0 | 0 |
TER-00023 | tertiary_hospital_pv | 2,019 | teaching_hospital | 17 | female | 0 | antiepileptic | 1 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00024 | tertiary_hospital_pv | 2,018 | regional_hospital | 19 | male | 0 | antiretroviral | 1 | 4 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00025 | tertiary_hospital_pv | 2,012 | specialist_clinic | 10 | male | 1 | antihypertensive | 0 | 2 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 1 | 0 | 0 | 0 |
TER-00026 | tertiary_hospital_pv | 2,020 | tertiary_hospital | 58 | female | 0 | antiretroviral | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 1 | 0 | 0 |
TER-00027 | tertiary_hospital_pv | 2,024 | teaching_hospital | 21 | female | 0 | other | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 1 | wrong_dose | 0 | 0 | 0 | 0 | 0 | none | 1 | 0 | 1 | 0 | 0 | 0 |
TER-00028 | tertiary_hospital_pv | 2,020 | tertiary_hospital | 27 | male | 0 | antiepileptic | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 1 | wrong_frequency | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00029 | tertiary_hospital_pv | 2,010 | tertiary_hospital | 54 | female | 0 | chemotherapy | 1 | 2 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 1 | 0 | 1 | 0 | 0 |
TER-00030 | tertiary_hospital_pv | 2,023 | teaching_hospital | 46 | male | 0 | antiretroviral | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 1 | 0 | 0 | 0 | 0 | 0 |
TER-00031 | tertiary_hospital_pv | 2,021 | regional_hospital | 50 | male | 0 | NSAID_analgesic | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00032 | tertiary_hospital_pv | 2,017 | regional_hospital | 1 | female | 1 | antibiotic | 1 | 2 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00033 | tertiary_hospital_pv | 2,022 | regional_hospital | 9 | female | 1 | antimalarial | 0 | 3 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 1 | 0 | 0 |
TER-00034 | tertiary_hospital_pv | 2,011 | teaching_hospital | 36 | male | 0 | antibiotic | 1 | 2 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 1 | 0 | 1 | 0 | 0 |
TER-00035 | tertiary_hospital_pv | 2,016 | specialist_clinic | 73 | female | 0 | antibiotic | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 1 | wrong_dose | 0 | 0 | 0 | 0 | 0 | none | 0 | 1 | 1 | 0 | 0 | 0 |
TER-00036 | tertiary_hospital_pv | 2,024 | regional_hospital | 14 | female | 1 | antiretroviral | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 1 | 1 | 0 | 0 | 0 |
TER-00037 | tertiary_hospital_pv | 2,010 | tertiary_hospital | 41 | female | 0 | NSAID_analgesic | 1 | 2 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 1 | 0 | 0 | 0 | 0 |
TER-00038 | tertiary_hospital_pv | 2,015 | teaching_hospital | 40 | female | 0 | NSAID_analgesic | 0 | 2 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 1 | 0 | 0 | 0 | 0 | 0 |
TER-00039 | tertiary_hospital_pv | 2,013 | tertiary_hospital | 43 | male | 0 | antidiabetic | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 1 | wrong_dose | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00040 | tertiary_hospital_pv | 2,017 | teaching_hospital | 36 | female | 0 | anti_TB | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00041 | tertiary_hospital_pv | 2,015 | teaching_hospital | 0 | male | 1 | anti_TB | 0 | 3 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00042 | tertiary_hospital_pv | 2,010 | tertiary_hospital | 39 | male | 0 | antihypertensive | 0 | 4 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 1 | 0 | 0 | 0 | 0 |
TER-00043 | tertiary_hospital_pv | 2,010 | regional_hospital | 22 | female | 0 | chemotherapy | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 1 | 1 | 0 | 0 |
TER-00044 | tertiary_hospital_pv | 2,015 | teaching_hospital | 42 | female | 0 | antimalarial | 1 | 4 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 1 | 0 | 1 | 0 | 0 | 0 |
TER-00045 | tertiary_hospital_pv | 2,010 | regional_hospital | 33 | male | 0 | antimalarial | 0 | 2 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00046 | tertiary_hospital_pv | 2,019 | regional_hospital | 17 | male | 0 | antibiotic | 1 | 3 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00047 | tertiary_hospital_pv | 2,023 | teaching_hospital | 21 | female | 0 | antiepileptic | 0 | 1 | 1 | other | mild | 0 | 0 | 0 | certain | 0 | none | 1 | 0 | 0 | 0 | 31 | physician | 1 | 0 | 1 | 0 | 0 | 0 |
TER-00048 | tertiary_hospital_pv | 2,015 | tertiary_hospital | 41 | male | 0 | antiretroviral | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00049 | tertiary_hospital_pv | 2,014 | tertiary_hospital | 0 | female | 1 | antihypertensive | 1 | 2 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 1 | 1 | 1 | 0 | 0 | 0 |
TER-00050 | tertiary_hospital_pv | 2,010 | tertiary_hospital | 44 | male | 0 | antiepileptic | 1 | 3 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 1 | 0 | 0 | 0 | 0 | 0 |
TER-00051 | tertiary_hospital_pv | 2,023 | regional_hospital | 66 | female | 0 | antimalarial | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 1 | 0 | 0 |
TER-00052 | tertiary_hospital_pv | 2,010 | tertiary_hospital | 31 | male | 0 | antihypertensive | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 1 | 1 | 0 | 0 | 0 | 0 |
TER-00053 | tertiary_hospital_pv | 2,018 | specialist_clinic | 29 | male | 0 | other | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 1 | 0 | 0 |
TER-00054 | tertiary_hospital_pv | 2,019 | tertiary_hospital | 37 | female | 0 | antiepileptic | 1 | 3 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00055 | tertiary_hospital_pv | 2,017 | regional_hospital | 26 | female | 0 | antimalarial | 1 | 3 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 1 | 0 | 0 | 0 | 0 | 0 |
TER-00056 | tertiary_hospital_pv | 2,017 | teaching_hospital | 30 | male | 0 | NSAID_analgesic | 0 | 2 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 1 | 0 | 0 | 0 |
TER-00057 | tertiary_hospital_pv | 2,021 | tertiary_hospital | 64 | male | 0 | antihypertensive | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00058 | tertiary_hospital_pv | 2,013 | tertiary_hospital | 35 | male | 0 | antiretroviral | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 1 | 0 | 0 | 0 | 0 | 0 |
TER-00059 | tertiary_hospital_pv | 2,013 | tertiary_hospital | 22 | female | 0 | antiretroviral | 0 | 2 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00060 | tertiary_hospital_pv | 2,024 | specialist_clinic | 8 | male | 1 | antiretroviral | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 1 | 0 | 0 | 0 | 0 |
TER-00061 | tertiary_hospital_pv | 2,023 | regional_hospital | 14 | male | 1 | antimalarial | 0 | 2 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 1 | 0 | 0 | 0 | 0 |
TER-00062 | tertiary_hospital_pv | 2,013 | regional_hospital | 40 | male | 0 | antihypertensive | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 1 | 0 | 0 | 0 | 0 |
TER-00063 | tertiary_hospital_pv | 2,022 | regional_hospital | 63 | female | 0 | NSAID_analgesic | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 1 | 0 | 0 | 0 |
TER-00064 | tertiary_hospital_pv | 2,013 | tertiary_hospital | 46 | male | 0 | antidiabetic | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 1 | 0 | 0 | 0 | 0 | 0 |
TER-00065 | tertiary_hospital_pv | 2,017 | tertiary_hospital | 38 | male | 0 | antiretroviral | 0 | 3 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 1 | 0 | 0 | 0 |
TER-00066 | tertiary_hospital_pv | 2,014 | tertiary_hospital | 46 | male | 0 | antiretroviral | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00067 | tertiary_hospital_pv | 2,024 | tertiary_hospital | 34 | female | 0 | antiretroviral | 0 | 3 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00068 | tertiary_hospital_pv | 2,019 | teaching_hospital | 32 | female | 0 | antiepileptic | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 1 | 0 | 0 |
TER-00069 | tertiary_hospital_pv | 2,015 | tertiary_hospital | 20 | female | 0 | antiepileptic | 1 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 1 | 0 | 0 | 0 | 0 |
TER-00070 | tertiary_hospital_pv | 2,024 | regional_hospital | 30 | female | 0 | other | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00071 | tertiary_hospital_pv | 2,015 | regional_hospital | 42 | female | 0 | antibiotic | 0 | 5 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00072 | tertiary_hospital_pv | 2,019 | regional_hospital | 56 | female | 0 | chemotherapy | 1 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 1 | 0 | 1 | 0 | 0 |
TER-00073 | tertiary_hospital_pv | 2,016 | specialist_clinic | 13 | male | 1 | antimalarial | 0 | 2 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 1 | 0 | 0 |
TER-00074 | tertiary_hospital_pv | 2,022 | tertiary_hospital | 25 | female | 0 | antihypertensive | 0 | 3 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 1 | 0 | 0 |
TER-00075 | tertiary_hospital_pv | 2,020 | tertiary_hospital | 42 | female | 0 | antimalarial | 0 | 2 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 1 | 1 | 0 | 0 | 0 |
TER-00076 | tertiary_hospital_pv | 2,011 | tertiary_hospital | 30 | male | 0 | anti_TB | 1 | 2 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 1 | 0 | 0 |
TER-00077 | tertiary_hospital_pv | 2,016 | teaching_hospital | 31 | female | 0 | anti_TB | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 1 | 1 | 1 | 0 | 0 | 0 |
TER-00078 | tertiary_hospital_pv | 2,022 | tertiary_hospital | 47 | male | 0 | antiepileptic | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 1 | 1 | 0 | 0 | 0 | 0 |
TER-00079 | tertiary_hospital_pv | 2,021 | regional_hospital | 14 | female | 1 | antihypertensive | 1 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00080 | tertiary_hospital_pv | 2,019 | tertiary_hospital | 36 | female | 0 | NSAID_analgesic | 0 | 1 | 1 | skin_rash | severe | 1 | 0 | 0 | probable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 1 | 0 | 0 | 0 |
TER-00081 | tertiary_hospital_pv | 2,019 | tertiary_hospital | 13 | male | 1 | antiretroviral | 1 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 1 | 0 | 0 | 0 |
TER-00082 | tertiary_hospital_pv | 2,014 | regional_hospital | 21 | female | 0 | antiretroviral | 1 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00083 | tertiary_hospital_pv | 2,024 | tertiary_hospital | 39 | male | 0 | antidiabetic | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00084 | tertiary_hospital_pv | 2,019 | tertiary_hospital | 40 | male | 0 | antiretroviral | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00085 | tertiary_hospital_pv | 2,015 | regional_hospital | 57 | female | 0 | antiepileptic | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 1 | 1 | 0 | 0 | 0 | 0 |
TER-00086 | tertiary_hospital_pv | 2,013 | regional_hospital | 29 | male | 0 | anti_TB | 0 | 2 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 1 | 1 | 0 | 0 |
TER-00087 | tertiary_hospital_pv | 2,020 | regional_hospital | 26 | female | 0 | NSAID_analgesic | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00088 | tertiary_hospital_pv | 2,012 | teaching_hospital | 0 | female | 1 | other | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 1 | 0 | 0 | 0 | 0 |
TER-00089 | tertiary_hospital_pv | 2,019 | specialist_clinic | 12 | male | 1 | antimalarial | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 1 | 0 | 0 |
TER-00090 | tertiary_hospital_pv | 2,018 | regional_hospital | 51 | male | 0 | antiepileptic | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 1 | 1 | 0 | 0 | 0 |
TER-00091 | tertiary_hospital_pv | 2,011 | specialist_clinic | 34 | female | 0 | antiretroviral | 0 | 2 | 0 | none | none | 0 | 0 | 0 | not_applicable | 1 | omission | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 1 | 0 | 0 | 0 |
TER-00092 | tertiary_hospital_pv | 2,015 | specialist_clinic | 25 | female | 0 | antiretroviral | 1 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 1 | 0 | 0 |
TER-00093 | tertiary_hospital_pv | 2,024 | tertiary_hospital | 23 | male | 0 | other | 1 | 6 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00094 | tertiary_hospital_pv | 2,018 | regional_hospital | 27 | male | 0 | antimalarial | 1 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 1 | 0 | 0 | 0 |
TER-00095 | tertiary_hospital_pv | 2,013 | specialist_clinic | 40 | female | 0 | other | 1 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 1 | wrong_dose | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00096 | tertiary_hospital_pv | 2,013 | teaching_hospital | 70 | female | 0 | antidiabetic | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
TER-00097 | tertiary_hospital_pv | 2,013 | tertiary_hospital | 33 | female | 0 | antibiotic | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 1 | 0 | 0 | 0 | 0 | 0 |
TER-00098 | tertiary_hospital_pv | 2,017 | specialist_clinic | 7 | female | 1 | antimalarial | 1 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 1 | dispensing_error | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 1 | 0 | 0 |
TER-00099 | tertiary_hospital_pv | 2,022 | regional_hospital | 22 | male | 0 | antiepileptic | 0 | 1 | 0 | none | none | 0 | 0 | 0 | not_applicable | 0 | none | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 |
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⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference.
Pharmacovigilance & Adverse Drug Reactions in Sub-Saharan Africa
Abstract
Synthetic dataset modelling ADR occurrence, reporting cascades, PV system capacity, and medication errors across three healthcare settings in SSA. Massive underreporting exists — <10% of ADRs reported in most SSA countries. Inadequate training and deficient reporting culture are key barriers.
Parameterization Evidence
| Parameter | Value | Source | Year |
|---|---|---|---|
| ADR reporting patterns in Africa | Reporting | PMC4796322 | 2016 |
| PV systems for medication error reporting | Systems | PLOS ONE | 2022 |
| ADR report completeness; VigiFlow system | Quality | PMC9900287 | 2023 |
| West African PV: inadequate training, poor culture | Barriers | CJGH | 2025 |
Validation
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/pharmacovigilance-adr", "tertiary_hospital_pv")
References
- PMC4796322. ADR reporting in Africa. 2016.
- PLOS ONE. PV systems for medication errors in Africa. 2022.
- PMC9900287. ADR report completeness in South Africa. 2023.
- CJGH. PV systems in West African countries. 2025.
Citation
@dataset{electricsheepafrica_pharmacovigilance_adr_2025,
title={Pharmacovigilance and Adverse Drug Reactions in Sub-Saharan Africa},
author={Electric Sheep Africa},
year={2025},
publisher={HuggingFace},
url={https://huggingface.co/datasets/electricsheepafrica/pharmacovigilance-adr}
}
License
CC-BY-4.0
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