Tobacco Use And Mortality, 2004-2015
Hospital admissions, prescriptions, and fatalities in England
@kaggle.nhs_tobacco_use
Hospital admissions, prescriptions, and fatalities in England
@kaggle.nhs_tobacco_use
CREATE TABLE admissions (
"year" VARCHAR,
"icd10_code" VARCHAR,
"icd10_diagnosis" VARCHAR,
"diagnosis_type" VARCHAR,
"metric" VARCHAR,
"sex" VARCHAR,
"value" VARCHAR
);
CREATE TABLE fatalities (
"year" BIGINT,
"icd10_code" VARCHAR,
"icd10_diagnosis" VARCHAR,
"diagnosis_type" VARCHAR,
"metric" VARCHAR,
"sex" VARCHAR,
"value" VARCHAR
);
CREATE TABLE metrics (
"year" BIGINT,
"tobacco_price_index" DOUBLE,
"retail_prices_index" DOUBLE,
"tobacco_price_index_relative_to_retail_price_index" DOUBLE,
"real_households_disposable_income" DOUBLE,
"affordability_of_tobacco_index" DOUBLE,
"household_expenditure_on_tobacco" DOUBLE,
"household_expenditure_total" DOUBLE,
"expenditure_on_tobacco_as_a_percentage_of_expenditure" DOUBLE
);
CREATE TABLE prescriptions (
"year" VARCHAR,
"all_pharmacotherapy_prescriptions" BIGINT,
"nicotine_replacement_therapy_nrt_prescriptions" BIGINT,
"bupropion_zyban_prescriptions" BIGINT,
"varenicline_champix_prescriptions" DOUBLE,
"net_ingredient_cost_of_all_pharmacotherapies" BIGINT,
"net_ingredient_cost_of_nicotine_replacement_therapies_nrt" BIGINT,
"net_ingredient_cost_of_bupropion_zyban" BIGINT,
"net_ingredient_cost_of_varenicline_champix" DOUBLE
);
CREATE TABLE smokers (
"year" BIGINT,
"method" VARCHAR,
"sex" VARCHAR,
"n_16_and_over" BIGINT,
"n_16_24" BIGINT,
"n_25_34" BIGINT,
"n_35_49" BIGINT,
"n_50_59" BIGINT,
"n_60_and_over" BIGINT
);
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