Visit-level blood pressure and prescription data at a private Ugandan hospital

This dataset represents a complete yearlong set of visit-level data capturing blood pressure measurements, diagnosis, and treatment at a private Ugandan hospital. Patient IDs, Visit IDs, and Visit Dates have been completely anonymized. Each row in the dataset represents a visit-prescription pair - so should a patient be prescribed multiple medications at a visit, that visit (identified by unique Visit ID) will occupy one row for each medication prescribed. These can be easily aggregated by grouping by Visit ID after data ingestion. 

Field dictionary: 

• visit_id_anonymous: string, unique visit ID
• visit_date_anonymized_day: integer, unique integer representing day of visit - these are sequentially correct but cannot be mapped back to the real date of visit
• patient_id_anon: string, unique patient ID
• visit_type: string, string description of visit type
• is_gp: boolean, whether visit is performed by general practitioner/general physician (should only be TRUE in this dataset)
• is_drug: boolean, whether this line represents a prescription attached to visit
• is_ht_drug: boolean, whether this line represents an antihypertensive medication
• prescription_name: string, description of medication prescribed
• ht_drug_category: string, category of antihypertensive prescribed, if prescribed medication is an antihypertensive
• gender: string
• is_htn_dx_code: boolean, whether a hypertension diagnosis code was assigned this visit
• bp_sys: integer, systolic blood pressure
• bp_dia: integer, diastolic blood pressure
• payment_type: string, Cash represents a self-pay patient visit, and Invoicing represents an insured patient visit
• age: integer, whole number age
• visit_number: integer, sequential # of visit for this patient - i.e. if this is a patient's 3rd visit during the study period, visit_number = 3 for that visit